Integrated Approach for Tree Health Prediction in Reforestation Using Satellite Data and Meteorological Parameters
| Autor: | Gijs van den Dool, Deepali Bidwai |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Environmental Sciences Proceedings, Vol 29, Iss 1, p 15982 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2023-1598 2673-4931 |
| DOI: | 10.3390/ECRS2023-15982 |
| Popis: | This study introduces a holistic methodology that synergizes high-resolution satellite imagery from Planet and historical data from Sentinel 2 with meteorological insights extracted from ERA5 data. By computing vital vegetation indices (NDVI, NDWI, mSAVI-2) and meteorological indices (SPI, KBDI), we establish customized growing conditions, enabling the prediction and continuous monitoring of tree health and stress. This approach integrates time series models for temperature, precipitation, and vegetation indices, augmenting the understanding of growing conditions and facilitating informed site selection for reforestation initiatives. Satellite data are sourced from Copernicus (Sentinel 2 using GEE) and Planet imagery (via QGIS plugin). The Copernicus Climate Data Store (ERA5) provides meteorological and climate assimilation data, complemented by reforestation specifics such as tree counts and planting timelines. |
| Databáze: | Directory of Open Access Journals |
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