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Digital_model_of_AGB_VIPIS_2025 (ImageServer)

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Service Description:

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–April 2025) and extract relevant spectral, textural, and structural variables. 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 – VIPIS Case (2025) project, developed by CTTC and INVEMAR.



Name: Digital_model_of_AGB_VIPIS_2025

Description:

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–April 2025) and extract relevant spectral, textural, and structural variables. 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 – VIPIS Case (2025) project, developed by CTTC and INVEMAR.



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 10.0

Pixel Size Y: 10.0

Band Count: 1

Pixel Type: F64

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: 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). This work was carried out with support from Lacuna Fund and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ). The views expressed herein do not necessarily represent those of Lacuna Fund, its Steering Committee, its funders, or Meridian Institute.

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 229.09280395508

Max Values: 407.70343017578

Mean Values: 332.29312285948

Standard Deviation Values: 59.490546269427

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: null

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: null

Max Mosaic Image Count: null

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Statistics   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project