An efficient retrieval method on Google Earth Engine and comparison with hybrid methods: a case study of leaf area index retrieval
Google Earth Engine (GEE) has emerged as a powerful tool offering extensive resources and algorithms for large-scale retrieval, facilitating various applications. However, these algorithms cannot quantify the uncertainty of estimates. This study proposes an efficient retrieval method for GEE based o...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2496403 |
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