The dataset contains year-, state- and district-wise historically compiled data on the total area of different types such as very dense, moderately dense and open mangrove forests in india
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The dataset contains year-, state- and district-wise historically compiled data on the total area of different types such as very dense, moderately dense and open mangrove forests in india
| year | state | district | mangrove_forest_type | value | unit | note |
|---|---|---|---|---|---|---|
| 2023 | Andhra Pradesh | Bapatla | Very Dense | 0 | value in square kilometers | |
| 2023 | Andhra Pradesh | Bapatla | Moderately Dense | 35.26 | value in square kilometers | |
| 2023 | Andhra Pradesh | Bapatla | Open | 37.66 | value in square kilometers | |
| 2023 | Andhra Pradesh | Eluru | Very Dense | 0 | value in square kilometers | |
| 2023 | Andhra Pradesh | Eluru | Moderately Dense | 0 | value in square kilometers | |
| 2023 | Andhra Pradesh | Eluru | Open | 0.02 | value in square kilometers | |
| 2023 | Andhra Pradesh | Kakinada | Very Dense | 0 | value in square kilometers | |
| 2023 | Andhra Pradesh | Kakinada | Moderately Dense | 79.17 | value in square kilometers | |
| 2023 | Andhra Pradesh | Kakinada | Open | 34.62 | value in square kilometers | |
| 2023 | Andhra Pradesh | Konaseema | Very Dense | 0 | value in square kilometers |
Sample from the dataset, for your reference.
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