Spatiotemporal Prediction of Alpine Vegetation Dynamic Change Based on a ConvGRU Neural Network Model: A Case Study of the Upper Heihe River Basin in Northwest China
Accurate and comprehensive vegetation prediction methods are essential for effective agricultural planning and budgeting. Most existing vegetation prediction methods rely on sampling points rather than on overall spatiotemporal characteristics, making it difficult to accurately forecast vegetation c...
| Auteurs principaux: | , , , , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
IEEE
2022-01-01
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| Collection: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Sujets: | |
| Accès en ligne: | https://ieeexplore.ieee.org/document/9864041/ |