WMS infoMapAccessService unknown SAERI mgorny@saeri.ac.fk conditions unknown None 3000 3000 text/xml image/jpeg image/png image/png; mode=16bit image/png; mode=8bit image/png; mode=1bit application/dxf application/pdf text/plain text/html text/xml application/vnd.ogc.gml application/vnd.ogc.gml/3.1.1 application/json application/geo+json image/jpeg image/png application/json text/xml text/xml XML before-benthic-hab-tcimsp-open infoMapAccessService CRS:84 EPSG:3857 -80 -60 5 40 Conservation CRS:84 EPSG:3857 -72.492575 -71.076719 21.133102 21.963811 Protected_Areas__Accepted Status: Complete </p><p> Resolution: unknown </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polygon shapefile layer comprising the accepted protected areas in Turks and Caicos with general information (name, area). Borders have been drawn based at the coordinates provided by the TCI governemt regulations. </p><p> Data source: Department of Environment and Coastal Resources </p><p> Layer created by: Anonymous </p><p> Data created/updated in: 2019 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -72.473435 -71.081515 21.133102 21.963811 Protected_Areas__Proposed Status: Complete </p><p> Resolution: unknown </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polygon shapefile layer comprising the proposed protected areas in Turks and Caicos with general information (name, area). Borders have been drawn based at the coordinates provided by the TCI governemt regulations. </p><p> Data source: Department of Environment and Coastal Resources </p><p> Layer created by: Anonymous </p><p> Data created/updated in: 2019 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -72.492575 -71.13473 21.283019 21.96332 Important_Bird_Areas Status: Complete </p><p> Resolution: unknown </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polygon layer of Important Bird and Biodiversity Areas (IBAs) around the world on behalf of the BirdLife Partnership. This dataset is drawn largely from data provided directly by the Partners but also includes some data digitised by the BirdLife Secretariat or consolidated from 3rd party sources where other information were not available. </p><p> Data source: BirdLife International </p><p> Layer created by: BirdLife International </p><p> Data created/updated in: 2009 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -72.239374 -71.076719 21.145632 21.954511 Development CRS:84 EPSG:3857 -72.474103 -71.126847 21.280983 21.962058 Buildings Status: Complete </p><p> Resolution: 1 meter </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polygon shapefile layer with all types of buildings divided into main categories. The OpenStreetMap project is a collaborative project to create a free editable map of the world. The data was created by contributors of the project based on ground surveys or traced from satellite imagery. Buildings dataset was extracted from OSM polygon layer using all the objects with any information in a building field in the original layer. The data was extracted from OSM project in December 2019. </p><p> Data source: OpenStreetMap Community </p><p> Layer created by: OSM Community </p><p> Data created/updated in: 2019 </p><p> Notes: The layer is visible for scales larger than 1:200 000 </p><p> CRS:84 EPSG:3857 -72.464481 -71.128096 21.280983 21.961014 Ferry_Routes Status: Complete </p><p> Resolution: unknown / low </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polyline shapefile layer with the approximate ferry routes between Turks and Caicos Islands. The dataset comprises routes and frequency as for November 2020. The routes were derived from OpenStreetMap project which is a collaborative project to create a free editable map of the world. The data was created by contributors of the project based on ground surveys local knowledge or traced from satellite imagery. </p><p> Data source: OpenStreetMap Community </p><p> Layer created by: OSM Community </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -72.156543 -71.145257 21.331651 21.937842 Road_Network Status: Complete </p><p> Resolution: 1 meter </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polyline shapefile layer with the road, track and path network divided into main categories. The OpenStreetMap project is a collaborative project to create a free editable map of the world. The data was created by contributors of the project based on ground surveys or traced from satellite imagery. Road network dataset was extracted from OSM multistring layer using all the objects with any information in a highway field in the original layer. The data was extracted from OSM project in December 2019 </p><p> Data source: OpenStreetMap Community </p><p> Layer created by: OSM Community </p><p> Data created/updated in: 2019 </p><p> Notes: The layer is visible for scales larger than 1:200 000 </p><p> CRS:84 EPSG:3857 -72.474103 -71.126847 21.281232 21.962058 Coastal_Development CRS:84 EPSG:3857 -72.463141 -71.143631 21.291594 21.953881 Coastline_ManMade_Line_WGS84 Status: Complete </p><p> Resolution: at least 1 meter </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polyline layer with all the indentified artificial structures in the coastline of Turks and Caicos as of March 2019. The dataset was created mostly by visual interpretation and digitising of satellite images from Google, Bing as well as aerial images from DECR. Additional information was derived from OSM Project </p><p> Data source: Google and Bing Imagery, Aerial Images, OpenStreetMap Community </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -72.462806 -71.146502 21.291594 21.937954 Coastline_ManMade_Polygon_WGS84 Status: Complete </p><p> Resolution: at least 1 meter </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polygon layer with all the indentified artificial structures in the coastline of Turks and Caicos as of March 2019. The dataset was created mostly by visual interpretation and digitising of satellite images from Google, Bing as well as aerial images from DECR. Additional information was derived from OSM Project </p><p> Data source: Google and Bing Imagery, Aerial Images, OpenStreetMap Community </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -72.463141 -71.143631 21.293245 21.953881 Impact_Assesment CRS:84 EPSG:3857 -97.284159 -59.400036 1.659126 32.514818 Threat_to_reefs__Integrated Status: Complete </p><p> Resolution: 500m </p><p> Spatial coordinates: WGS84 </p><p> Original name: Reefs at Risk Revisited: threat from integrated local human activities </p><p> Description: The dataset is a high-resolution 2011 update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World's Coral Reefs, 1998. It evaluates threats to coral reefs from a wide range of human activities, and includes an assessment of climate-related threats to reefs. This dataset includes the threat from integrated local activities (coastal development, watershed and marine pollution and overfishing). Reefs at Risk Revisited brings together data on the world's coral reefs in a global analysis designed to quantify threats and to map where reefs are at greatest risk of degradation or loss. More than 50 data sources were incorporated into the analysis, including data on bathymetry, land cover, population distribution and growth rate, observations of coral bleaching, and location of human infrastructure. Local threats addressed in the analysis were: coastal development; watershed-based pollution; marine-based pollution and damage; and overfishing and destructive fishing.The four local threats to coral reefs were modelled separately, and later combined in the Reefs at Risk integrated local threat index. The modelling approach is an extension and refinement of that used in previous Reefs at Risk analyses, and benefited from the input from more than 40 coral reef scientists and other experts. For each local threat, sources of stress that could be mapped were identified and combined into a proxy indicator that reflected the degree of threat. These ""stressors"" include human population density and infrastructure features such as location and size of cities, ports, and hotels, as well as more complex modelled estimates such as sediment inputs from rivers. For each stressor, distance-based rules were developed, such that threat declines as distance from the stressor increases. Thresholds for low, medium, and high threats were developed using available information on observed impacts to coral reefs. </p><p> Data source: World Resources Institute </p><p> Layer created by: World Resources Institute </p><p> Data created/updated in: 2011 </p><p> Notes: Original data were combined with a 30 m resolution coral reef dataset from UNEP-WCMC (Global Distribution of Coral Reefs). The output has a higher resolution for the exent of coral reefs but the resolution of threat data is 500 m </p><p> CRS:84 EPSG:3857 -72.486189 -71.078749 21.176429 21.978873 Threat_to_reefs__Coastal_Development Status: Complete </p><p> Resolution: 500m </p><p> Spatial coordinates: WGS84 </p><p> Original name: Reefs at Risk Revisited: threat from coastal development </p><p> Description: The dataset is a high-resolution 2011 update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World's Coral Reefs, 1998. It evaluates threats to coral reefs from a wide range of human activities, and includes an assessment of climate-related threats to reefs. This dataset includes the threat from coastal development. Reefs at Risk Revisited brings together data on the world's coral reefs in a global analysis designed to quantify threats and to map where reefs are at greatest risk of degradation or loss. More than 50 data sources were incorporated into the analysis, including data on bathymetry, land cover, population distribution and growth rate, observations of coral bleaching, and location of human infrastructure. Local threats addressed in the analysis were: coastal development; watershed-based pollution; marine-based pollution and damage; and overfishing and destructive fishing.The four local threats to coral reefs were modelled separately, and later combined in the Reefs at Risk integrated local threat index. The modelling approach is an extension and refinement of that used in previous Reefs at Risk analyses, and benefited from the input from more than 40 coral reef scientists and other experts. For each local threat, sources of stress that could be mapped were identified and combined into a proxy indicator that reflected the degree of threat. These ""stressors"" include human population density and infrastructure features such as location and size of cities, ports, and hotels, as well as more complex modelled estimates such as sediment inputs from rivers. For each stressor, distance-based rules were developed, such that threat declines as distance from the stressor increases. Thresholds for low, medium, and high threats were developed using available information on observed impacts to coral reefs. </p><p> Data source: World Resources Institute </p><p> Layer created by: World Resources Institute </p><p> Data created/updated in: 2011 </p><p> Notes: Original data were combined with a 30 m resolution coral reef dataset from UNEP-WCMC (Global Distribution of Coral Reefs). The output has a higher resolution for the exent of coral reefs but the resolution of threat data is 500 m </p><p> CRS:84 EPSG:3857 -97.284159 -59.400036 1.659126 32.514818 Threat_to_reefs__Marine_Pollution Status: Complete </p><p> Resolution: 500m </p><p> Spatial coordinates: WGS84 </p><p> Original name: Reefs at Risk Revisited: threat from marine pollution </p><p> Description: The dataset is a high-resolution 2011 update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World's Coral Reefs, 1998. It evaluates threats to coral reefs from a wide range of human activities, and includes an assessment of climate-related threats to reefs. This dataset includes the threat from marine pollution. Reefs at Risk Revisited brings together data on the world's coral reefs in a global analysis designed to quantify threats and to map where reefs are at greatest risk of degradation or loss. More than 50 data sources were incorporated into the analysis, including data on bathymetry, land cover, population distribution and growth rate, observations of coral bleaching, and location of human infrastructure. Local threats addressed in the analysis were: coastal development; watershed-based pollution; marine-based pollution and damage; and overfishing and destructive fishing.The four local threats to coral reefs were modelled separately, and later combined in the Reefs at Risk integrated local threat index. The modelling approach is an extension and refinement of that used in previous Reefs at Risk analyses, and benefited from the input from more than 40 coral reef scientists and other experts. For each local threat, sources of stress that could be mapped were identified and combined into a proxy indicator that reflected the degree of threat. These ""stressors"" include human population density and infrastructure features such as location and size of cities, ports, and hotels, as well as more complex modelled estimates such as sediment inputs from rivers. For each stressor, distance-based rules were developed, such that threat declines as distance from the stressor increases. Thresholds for low, medium, and high threats were developed using available information on observed impacts to coral reefs. </p><p> Data source: World Resources Institute </p><p> Layer created by: World Resources Institute </p><p> Data created/updated in: 2011 </p><p> Notes: Original data were combined with a 30 m resolution coral reef dataset from UNEP-WCMC (Global Distribution of Coral Reefs). The output has a higher resolution for the exent of coral reefs but the resolution of threat data is 500 m </p><p> CRS:84 EPSG:3857 -97.284159 -59.400036 1.659126 32.514818 Threat_to_reefs__Overfishing Status: Complete </p><p> Resolution: 500m </p><p> Spatial coordinates: WGS84 </p><p> Original name: Reefs at Risk Revisited: threat from overfishing </p><p> Description: The dataset is a high-resolution 2011 update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World's Coral Reefs, 1998. It evaluates threats to coral reefs from a wide range of human activities, and includes an assessment of climate-related threats to reefs. This dataset includes the threat from overfishing. Reefs at Risk Revisited brings together data on the world's coral reefs in a global analysis designed to quantify threats and to map where reefs are at greatest risk of degradation or loss. More than 50 data sources were incorporated into the analysis, including data on bathymetry, land cover, population distribution and growth rate, observations of coral bleaching, and location of human infrastructure. Local threats addressed in the analysis were: coastal development; watershed-based pollution; marine-based pollution and damage; and overfishing and destructive fishing.The four local threats to coral reefs were modelled separately, and later combined in the Reefs at Risk integrated local threat index. The modelling approach is an extension and refinement of that used in previous Reefs at Risk analyses, and benefited from the input from more than 40 coral reef scientists and other experts. For each local threat, sources of stress that could be mapped were identified and combined into a proxy indicator that reflected the degree of threat. These ""stressors"" include human population density and infrastructure features such as location and size of cities, ports, and hotels, as well as more complex modelled estimates such as sediment inputs from rivers. For each stressor, distance-based rules were developed, such that threat declines as distance from the stressor increases. Thresholds for low, medium, and high threats were developed using available information on observed impacts to coral reefs. </p><p> Data source: World Resources Institute </p><p> Layer created by: World Resources Institute </p><p> Data created/updated in: 2011 </p><p> Notes: Original data were combined with a 30 m resolution coral reef dataset from UNEP-WCMC (Global Distribution of Coral Reefs). The output has a higher resolution for the exent of coral reefs but the resolution of threat data is 500 m </p><p> CRS:84 EPSG:3857 -97.284159 -59.400036 1.659126 32.514818 Threat_to_reefs__Watershed_Pollution Status: Complete </p><p> Resolution: 500m </p><p> Spatial coordinates: WGS84 </p><p> Original name: Reefs at Risk Revisited: threat from watershed pollution </p><p> Description: The dataset is a high-resolution 2011 update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World's Coral Reefs, 1998. It evaluates threats to coral reefs from a wide range of human activities, and includes an assessment of climate-related threats to reefs. This dataset includes the threat from watershed pollution. Reefs at Risk Revisited brings together data on the world's coral reefs in a global analysis designed to quantify threats and to map where reefs are at greatest risk of degradation or loss. More than 50 data sources were incorporated into the analysis, including data on bathymetry, land cover, population distribution and growth rate, observations of coral bleaching, and location of human infrastructure. Local threats addressed in the analysis were: coastal development; watershed-based pollution; marine-based pollution and damage; and overfishing and destructive fishing.The four local threats to coral reefs were modelled separately, and later combined in the Reefs at Risk integrated local threat index. The modelling approach is an extension and refinement of that used in previous Reefs at Risk analyses, and benefited from the input from more than 40 coral reef scientists and other experts. For each local threat, sources of stress that could be mapped were identified and combined into a proxy indicator that reflected the degree of threat. These ""stressors"" include human population density and infrastructure features such as location and size of cities, ports, and hotels, as well as more complex modelled estimates such as sediment inputs from rivers. For each stressor, distance-based rules were developed, such that threat declines as distance from the stressor increases. Thresholds for low, medium, and high threats were developed using available information on observed impacts to coral reefs. </p><p> Data source: World Resources Institute </p><p> Layer created by: World Resources Institute </p><p> Data created/updated in: 2011 </p><p> Notes: Original data were combined with a 30 m resolution coral reef dataset from UNEP-WCMC (Global Distribution of Coral Reefs). The output has a higher resolution for the exent of coral reefs but the resolution of threat data is 500 m </p><p> CRS:84 EPSG:3857 -97.284159 -59.400036 1.659126 32.514818 MSP_Project_Data CRS:84 EPSG:3857 -72.490183 -71.084415 21.10545 21.975238 Stakeholders_workshops CRS:84 EPSG:3857 -72.490183 -71.084415 21.10545 21.975238 Marine_Activities Status: Complete </p><p> Resolution: unknown </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a point shapefile layer presenting rough locations of marine activities identified by stakeholders during series of meetings in January and February 2020. The meetings were part of the MSP Project and aimed in bringing all islands' stakeholders to the process of developing marine spatial planning tools. </p><p> Data source: Department of Environment and Coastal Resources </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> CRS:84 EPSG:3857 -72.480364 -71.096272 21.122168 21.975238 Main_Species Status: Complete </p><p> Resolution: unknown </p><p> Spatial coordinates: WGS84 </p><p> Description:The dataset is a point shapefile layer presenting rough locations of main species identified by stakeholders during series of meetings in January and February 2020. The meetings were part of the MSP Project and aimed in bringing all islands' stakeholders to the process of developing marine spatial planning tools. </p><p> Data source: Department of Environment and Coastal Resources </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> CRS:84 EPSG:3857 -72.478866 -71.084415 21.119649 21.974988 Favourite_Places Status: Complete </p><p> Resolution: unknown </p><p> Spatial coordinates: WGS84 </p><p> Description:The dataset is a point shapefile layer presenting rough locations of favourite places identified by stakeholders during series of meetings in January and February 2020. The meetings were part of the MSP Project and aimed in bringing all islands' stakeholders to the process of developing marine spatial planning tools. </p><p> Data source: Department of Environment and Coastal Resources </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> CRS:84 EPSG:3857 -72.488852 -71.101125 21.190225 21.922347 Vulnerable_Places Status: Complete </p><p> Resolution: unknown </p><p> Spatial coordinates: WGS84 </p><p> Description:The dataset is a point shapefile layer presenting rough locations of vulnerable areas identified by stakeholders during series of meetings in January and February 2020. The meetings were part of the MSP Project and aimed in bringing all islands' stakeholders to the process of developing marine spatial planning tools. </p><p> Data source: Department of Environment and Coastal Resources </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> CRS:84 EPSG:3857 -72.490183 -71.112469 21.10545 21.925229 Cultural_use_of_coastal_ecosystems CRS:84 EPSG:3857 -72.452883 -71.128998 21.313041 21.96045 activities CRS:84 EPSG:3857 -72.452883 -71.128998 21.313041 21.96045 distance_travelled_to_location CRS:84 EPSG:3857 -72.452883 -71.128998 21.313041 21.96045 frequency_of_visits CRS:84 EPSG:3857 -72.452883 -71.128998 21.313041 21.96045 mode_of_transport CRS:84 EPSG:3857 -72.452883 -71.128998 21.313041 21.96045 money_spent_at_location CRS:84 EPSG:3857 -72.452883 -71.128998 21.313041 21.96045 most_frequently_visited_beaches CRS:84 EPSG:3857 -72.452883 -71.128998 21.313041 21.96045 size_of_group CRS:84 EPSG:3857 -72.452883 -71.128998 21.313041 21.96045 time_spent_at_location CRS:84 EPSG:3857 -72.452883 -71.128998 21.313041 21.96045 Human_Activites CRS:84 EPSG:3857 -72.482167 71.914445 20.9875 21.980111 Mooring_Sites Status: Complete </p><p> Resolution: high </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset comprises dive boat, snorkel boat and yacht moorings throughout the Turks and Caicos Islands installed and mainataned by Turks and Caicos Reef Fund in the frame of Dive mooring project. </p><p> Data source: Turks and Caicos Reef Fund </p><p> Layer created by: Marcin Gorny based on data provided by Turks and Caicos Reef Fund </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -72.482167 -72.11 21.48975 21.9099 Scuba_Dive_sites Status: Complete </p><p> Resolution: various </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset comprised scuba dive and snorkelling sites used by various tour operators, NGO's and scientists. The coordinates were provided by among others Turks and Caicos Reef Fund and DECR. </p><p> Data source: Department of Environment and Coastal Resources, Turks and Caicos Reef Fund </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -72.482167 71.914445 20.9875 21.9099 Swim_Zones_in_protected_areas Status: Complete </p><p> Resolution: between 2 and 5 meters </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polygon layer with areas designed to swimming within national parks in Providenciales (Princess Alexandra Land and Sea NP) and Grand Turk (Columbus Landfall Marine NP). Swimming zones have been drawn using satellite imagery and google earth based at TCI government regulations. Swimming zone is an area designated for swimming and with restricted boat access extending up to 300 ft (91.44 m) from the shoreline. </p><p> Data source: Department of Environment and Coastal Resources </p><p> Layer created by: Anonymous </p><p> Layer edited by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -72.230086 -71.143237 21.422193 21.828564 toursit_accomodation_grid_sum CRS:84 EPSG:3857 -72.344921 -71.125389 21.265401 21.980111 Environmental_Data CRS:84 EPSG:3857 -72.605479 -70.942849 21.039908 22.323433 Species_distribution CRS:84 EPSG:3857 -72.605479 -71.094321 21.108969 22.323433 Marine_species CRS:84 EPSG:3857 -72.605479 -71.094321 21.108969 22.323433 Bluehead_Wrasse CRS:84 EPSG:3857 -72.498282 -71.094321 21.108969 21.926316 Caribbean_Reef_Shark CRS:84 EPSG:3857 -72.605479 -71.106637 21.296134 21.962305 Great_Barracuda CRS:84 EPSG:3857 -72.508088 -71.103945 21.108969 22.323433 Horse-Eye_Jack CRS:84 EPSG:3857 -72.498282 -71.106379 21.280324 21.926191 Nassau_Grouper CRS:84 EPSG:3857 -72.498282 -71.103945 21.108969 21.926191 Nurse_Shark CRS:84 EPSG:3857 -72.489278 -71.106379 21.280523 21.953277 Ocean_Triggerfish CRS:84 EPSG:3857 -72.488618 -71.125649 21.280523 21.925941 Parrotfish_Species CRS:84 EPSG:3857 -72.498282 -71.094321 21.108969 21.926316 Queen_Conch CRS:84 EPSG:3857 -71.841384 -71.556344 21.130005 21.450369 Spiny_Lobster CRS:84 EPSG:3857 -72.476333 -71.392776 21.118382 21.813879 Spotted_Eagle_Ray CRS:84 EPSG:3857 -72.498282 -71.144919 21.280324 21.925689 Yellowtail_Snapper CRS:84 EPSG:3857 -72.498282 -71.096744 21.280324 21.926316 Coastal_Habitats Status: In progress </p><p> Resolution: between 2 and 10 meters </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset presents habitats occupying transition areas between sea and land. The dataset is based at various sources including: Turks and Caicos terrestial habitats map, aerial images, google earth images, bing images. The types of coast and shore were identified mostly by visual classification of satellite imagery. Ground surveys of selected sample sites are also planned </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> Notes: The layer is not finalized yet </p><p> CRS:84 EPSG:3857 -72.482778 -71.078366 21.177658 21.962474 Terrestrial_Habitat_Map Status: Complete </p><p> Resolution: at least 1 meter </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset presents the distribution of each vegetative community habitat class, sub-class and formation represented and mappable in the Turks and Caicos Islands and Cays. Habitat classification maps are digital data records on the location and spatial dimensions of a group of defined community types. This dataset contains ground vector planimetrics showing the distribution, delineation, and relative abundance of each distinct terrestrial habitat type represented on the island or group of islands. This product represents the special analysis and determination of discernable habitats, highlighting the vegetation community classification of the Turks and Caicos Islands. </p><p> Layer created by: Blue Dolphin Research & Consulting </p><p> Data created/updated in: 2010 </p><p> Notes: Cite data source as: Wood, K., Brunnick, B., Harzen, S., Weinberg, P., & Kissinger, P. (2010). Turks and Caicos Islands Terrestrial Habitat Mapping Project </p><p> CRS:84 EPSG:3857 -72.482811 -71.078328 21.177461 21.96272 Benthic_Habitat_Map Status: Complete </p><p> Resolution: 4 meters </p><p> Spatial coordinates: WGS84 - Pseudo-Mercator (EPSG:3857) </p><p> Description: The dataset presents the detailed distribution of important shallow underwater habitats throughout the Turks and Caicos Islands including all shallow water coral reefs. The benthic habitat maps were created using high-resolution satellite images, and in some places using aerial fly-over technology, drones, and divers to dig deeper and validate the data. The main source of the images was the Planet Labs Inc. Dove satellites with the resolution of 4 meters. The final classification of the habitats was done by TNC scientists, in partnership with the Arizona State University Center for Global Discovery and Conservation Science (ASU GDCS). </p><p> Layer created by: The Nature Conservancy </p><p> Data created/updated in: 2020 </p><p> Notes: Cite data source as: Schill, S. R., Pollock, F. J., Lüthje, F., Li, J., Knapp, D., Kington, J., McDonald, T., McNulty, V. P., Escovar-Fadul, X., and Asner, G. Caribbean shallow benthic habitat maps from Dove satellite imagery for conservation and marine planning (in prep). </p><p> CRS:84 EPSG:3857 -72.489138 -70.942849 21.039908 21.982647 Geographic_Data CRS:84 EPSG:3857 -180 180 -85.051129 85.051129 Borders Status: Complete </p><p> Resolution: unknown </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is comprised from all levels boundaries of Turks and Caicos and includes: internal water, territorial sea, and 200 miles exclusive fishery zone. The borders were digitized from maps created by UKHO Land and Sea Office and Admiralty Maritime Data Solutions. </p><p> Data source: UK Hydrographic Office, Law of the Sea </p><p> Layer created by: Anonymous </p><p> Data created/updated in: 2019 Notes: </p><p> CRS:84 EPSG:3857 -72.732499 -67.66742 20.54561 25.085834 Reef_Bank Status: Complete </p><p> Resolution: unknown </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polygon shapefile layer with the approximate edge of shallow water of Turks and Caicoss reef bank. The reef bank roughly coresponds to a 20 m depth contour. </p><p> Layer created by: Christopher Close </p><p> Data created/updated in: 2003 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -72.488291 -70.946612 21.044874 21.979204 Sea_Fepth_Contours__With_SDB Status: Complete </p><p> Resolution: 50m for Turks and Caicos shalow water (up to 20 m depth), otherwise 30 arc-second </p><p> Spatial coordinates: WGS84 </p><p> Description: Depth contour lines derived from GEBCO global grid (30 arc-second) combined with SDB (Satellite-Derived Bathymetry) for Turks and Caicos bank (50 m). </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -75.622391 -65.119473 18.403375 27.59671 Inland_Waters Status: In progress </p><p> Resolution: between 2 and 10 meters </p><p> Spatial coordinates: WGS84 </p><p> Description: The dataset is a polygon shapefile layer with all the inland water bodies of Turks and Caicos. It includes freshwater ponds, salt water ponds, natural channels lagoons and other water bodies inside the islands as well as artificial channels and marinas. The datased was created from variuos sources. The primary source was a hydrography dataset obtained from DECR database. This layer was then validated and edited using google earth imagery in order to have more accurate and up to date information.. </p><p> Layer created by: Anonymous </p><p> Review, validation and corrections: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> Notes: The layer is not finalized yet </p><p> CRS:84 EPSG:3857 -72.355672 -71.127336 21.302778 21.961307 Islands Status: Complete </p><p> Resolution: between 2 and 10 meters </p><p> Spatial coordinates: WGS84 </p><p> Description:The dataset represents land areas of Turks and Caicos. It also includes some information about the islands: name, area, population. </p><p> Data source: Department of Environment and Coastal Resources </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> CRS:84 EPSG:3857 -72.482778 -71.078366 21.177658 21.962612 Bathymetry_of_the_Turks_and_Caicos_Islands CRS:84 EPSG:3857 -72.732183 -67.667598 20.545667 25.085668 Bing_Satellite_Images CRS:84 EPSG:3857 -180 180 -85.051129 85.051129 Climate_Data CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 Day_Sea_Surface_Temperature CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 Land_extent__dsst Status: Complete </p><p> Resolution: between 2 and 10 meters </p><p> Spatial coordinates: WGS84 </p><p> Description:The dataset represents land areas of Turks and Caicos. </p><p> Data source: Department of Environment and Coastal Resources </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> CRS:84 EPSG:3857 -72.482778 -71.078366 21.177658 21.962612 December__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for December. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 November__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for November. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 October__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for October. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 September__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for September. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 August__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for August. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 July__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for July. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 June__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for June. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 May__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for May. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 April__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for April. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 March__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for March. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 February__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for February. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 January__dsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents day sea surface temperature for January. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -74.560169 -68.271961 19.928452 24.526782 Night_Sea_Surface_Temperature CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 Land_extent__nsst Status: Complete </p><p> Resolution: between 2 and 10 meters </p><p> Spatial coordinates: WGS84 </p><p> Description:The dataset represents land areas of Turks and Caicos. </p><p> Data source: Department of Environment and Coastal Resources </p><p> Layer created by: Marcin Gorny </p><p> Data created/updated in: 2020 </p><p> CRS:84 EPSG:3857 -72.482778 -71.078366 21.177658 21.962612 December__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for December. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 November__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for November. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 October__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for October. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 September__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for September. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 August__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for August. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 July__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for July. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 June__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for June. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 May__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for May. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 April__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for April. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 March__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for March. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 February__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for February. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213968 -64.181932 17.276049 28.784691 January__nsst Status: Complete </p><p> Resolution: 100m </p><p> Spatial coordinates: World Mercator </p><p> Data source: AQUA-MODIS </p><p> Description: The dataset presents night sea surface temperature for January. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius </p><p> Layer created by: Marcin Gorny based at AQUA-MODIS data </p><p> Data created/updated in: 2020 </p><p> Notes: </p><p> CRS:84 EPSG:3857 -76.213518 -64.182381 17.276481 28.784295