Above Ground Biomass Estimation By Multi-Source Data Based On Interpretable DNN Model
Author:
Affiliation:
1. Fudan University,Key Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology,Shanghai,China,200433
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shanghai
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282396.pdf?arnumber=10282396
Reference8 articles.
1. Remote sensing products of vegetation parameters in Heihe River Basin (2019);qi;A Big Earth Data Platform for Three Poles,2020
2. Dynamic mechanism between human activities and ecosystem services: A case study of Qinghai lake watershed, China
3. Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data
4. Estimation of biomass burning emissions by integrating ICESat-2, Landsat 8, and Sentinel-1 data
5. Estimation of Maize Biomass Components from Sentinel-1 SAR Data Using Multi-Target Regressors
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