{
 "culture": "es-ES",
 "name": "Digital_model_of_AGC_VIPIS_2025",
 "guid": "",
 "catalogPath": "",
 "snippet": "The primary objective of this research was to provide open access to the constructed database, allowing the public to perform analyses using machine learning (ML) applications. The information collected in the field facilitated the development of robust models for estimating Aboveground Biomass (AGB) and Aboveground Carbon (AGC) using GIS and remote sensing tools.\nThe dataset will also contribute to the generation of information, analyses, techniques, and methodologies associated with these ecosystems, with a focus on their preservation and conservation.",
 "description": "<div style='text-align:Left;'><div><p><span>This product is a raster map in GeoTIFF format with a spatial resolution of 10 m/px, representing the estimated Aboveground Biomass (AGB) of mangroves in the northwestern sector of the Vía Parque Isla de Salamanca (VIPIS) in 2025. The area is located on the Caribbean coast of Colombia, in the department of Magdalena. The dataset was generated through the integration of Sentinel-1 (radar) and Sentinel-2 (optical) satellite imagery, canopy height data, and field measurements from 20 plots, complemented with additional measurements from Colombian mangroves with similar ecological characteristics available in SIGMA.The methodology employed machine learning techniques (Random Forest) to train and validate predictive AGB models, using validation metrics such as the Root Mean Square Error (RMSE = 152.545). Satellite imagery was processed in Google Earth Engine to generate dry-season mosaics (January\u2013April 2025) and extract relevant spectral, textural, and structural variables. The estimated biomass was converted to Aboveground Carbon (AGC) by applying IPCC conversion factors.The mapped area covers approximately 6,000 hectares of mangroves within the northwestern boundaries of VIPIS, projected in UTM Zone 18N (EPSG:32618). This product is part of the Quantifying Colombian Mangroves Aboveground Biomass and Carbon Content \u2013 VIPIS Case (2025) project, developed by CTTC and INVEMAR.<\/span><\/p><\/div><\/div>",
 "summary": "The primary objective of this research was to provide open access to the constructed database, allowing the public to perform analyses using machine learning (ML) applications. The information collected in the field facilitated the development of robust models for estimating Aboveground Biomass (AGB) and Aboveground Carbon (AGC) using GIS and remote sensing tools.\nThe dataset will also contribute to the generation of information, analyses, techniques, and methodologies associated with these ecosystems, with a focus on their preservation and conservation.",
 "title": "Digital_model_of_AGC_VIPIS_2025",
 "tags": [
  "Caribbean Sea",
  "VIPIS",
  "Colombia",
  "Mangroves",
  "Aboveground Biomass",
  "Aboveground Carbon"
 ],
 "type": "Image Service",
 "typeKeywords": [
  "ArcGIS Server",
  "Data",
  "Image Service",
  "Service"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "https://gis.invemar.org.co/arcgis",
 "minScale": 144148.1790812609,
 "maxScale": 4504.630596289403,
 "spatialReference": "WGS_1984_UTM_Zone_18N",
 "accessInformation": "This information was generated as part of a project carried out in collaboration between the Institute of Marine and Coastal Research (INVEMAR) and the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC). \n\nThis work was carried out with support from Lacuna Fund and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ).\n\nThe views expressed herein do not necessarily represent those of Lacuna Fund, its Steering Committee, its funders, or Meridian Institute.",
 "licenseInfo": "<div style='text-align:Left;'><div><p><span>According to the legal analysis conducted by the entity, this product is publicly accessible to any user and does not contain classified or restricted information, allowing its use without violating current legal regulations, in accordance with the provisions of Law 1712 of 2014. To use it, the source 'Instituto de Investigaciones Marinas y Costeras \u2013 INVEMAR' must be cited, in compliance with copyright regulations. Information classification: Public information for external use.The views expressed herein do not necessarily represent those of Lacuna Fund, its Steering Committee, its funders, or Meridian Institute.<\/span><\/p><\/div><\/div>",
 "portalUrl": ""
}