Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network
[Objective]Sunlight-induced chlorophyll fluorescence (SIF) data obtained from satellites suffer from issues such as low spatial and temporal resolution, and discrete footprint because of the limitations imposed by satellite orbits. To address these problems, obtaining higher resolution SIF data, mos...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Office of Smart Agriculture
2024-09-01
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| Series: | 智慧农业 |
| Subjects: | |
| Online Access: | https://www.smartag.net.cn/CN/rich_html/10.12133/j.smartag.SA202309006 |
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