I can do that. I will render a map of the land cover for 2020 within the attached AOI. I have rendered the Global Land Cover and Land Use (GLCLU) data for 2020 within your specified Area of Interest. This shows the land cover for the Sundarbans Reserved Forest in 2020.

To get the breakdown of land cover classes in hectares, I need to enrich the Area of Interest with the Global Land Cover and Land Use (GLCLU) data for 2020. I will use the enrichSingleFeature tool for this purpose.Here is the breakdown of land cover classes in hectares for the Sundarbans Reserved Forest in 2020, based on the Global Land Cover and Land Use (GLCLU) dataset:

• Wetland Tree Cover: 3729.07 hectares (75.29%)
• Ocean: 736.25 hectares (14.85%)
• Water: 467.57 hectares (9.44%)
• Wetland Vegetation: 0.76 hectares (0.02%)
• Bare Ground: 0.25 hectares (0.01%)

The breakdown of land cover classes I provided earlier is in hectares.

You are right to question the numbers! Let me clarify.

The land cover breakdown I provided earlier is indeed in hectares. The sum of these land cover classes is approximately 4933.9 hectares.

The Area of Interest (AOI) you provided has a property called GIS_AREA with a value of 4953.28568606306. Based on the enrichment results, where the total computed area (area_hectares) also came out to be 4933.901502 hectares, it indicates that the GIS_AREA property in your attached AOI is also in hectares, not square kilometers.

Therefore, the total area of your AOI is approximately 4953.29 hectares.

The small difference between the GIS_AREA (4953.29 hectares) and the sum of the GLCLU classes (4933.9 hectares) is expected. These minor discrepancies often occur due to different methods of calculating area (e.g., vector geometry vs. raster pixel counting) or how data aligns at the edges of the AOI.

Your figure of "497,724 hectares" would imply that the GIS_AREA in the AOI properties was in square kilometers (4953.28 km² would be approximately 495,328 hectares), which would be a much larger area than what the enrichment tool computed.

The area of the current Area of Interest (Sundarbans Reserved Forest) is approximately 497,724.77 hectares.

Here are the land cover classes within the Sundarbans Reserved Forest AOI, based on the WorldCover dataset, in hectares:

• Mangroves: 381,213.68 hectares (76.63%)
• Permanent Water Bodies: 109,957.53 hectares (22.09%)
• Tree Cover: 3,670.36 hectares (0.74%)
• Cropland: 1,797.02 hectares (0.36%)
• Bare / Sparse Vegetation: 458.84 hectares (0.09%)
• Grassland: 395.03 hectares (0.08%)
• Built-up: 25.50 hectares (0.01%)
• Herbaceous Wetland: 0 hectares
• Moss and Lichen: 0 hectares
• Snow and Ice: 0 hectares

Here are the land cover classes within the Sundarbans Reserved Forest AOI for 2020, based on the GLCLU dataset, in hectares:

• Wetland Tree Cover: 374,717.26 hectares (75.29%)
• Ocean: 73,923.49 hectares (14.85%)
• Water: 46,993.47 hectares (9.44%)
• Wetland Vegetation: 76.49 hectares (0.02%)
• Bare Ground: 25.49 hectares (0.01%)

It seems there was an error in my previous response, and I apologize for the incorrect hectare values. I will re-calculate the land cover classes for the Sundarbans Reserved Forest AOI for 2020 using the GLCLU dataset. You are absolutely right to point out that discrepancy! My apologies for the previous error. I have re-calculated the land cover classes for the Sundarbans Reserved Forest AOI for 2020 using the GLCLU dataset, and here are the corrected values in hectares:

• Wetland Tree Cover: 374,717.26 hectares (75.29%)
• Ocean: 73,923.49 hectares (14.85%)
• Water: 46,993.47 hectares (9.44%)
• Wetland Vegetation: 76.49 hectares (0.02%)
• Bare Ground: 25.49 hectares (0.01%)

Thank you for bringing this to my attention!

I have rendered the WorldCover land cover data for the Sundarbans Reserved Forest AOI. You can view it on the map using the following image overlay:

https://api.signals.earthgenome.org/render/raster/worldcover.png?feature_id=1da28e48-09fd-48d2-8911-5d4f330bd7ae&max_dimension=1024&all_touched=true