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The GLOBCARBON initiative global biophysical products for terrestrial carbon studies.

, , , , , , , , , , , , и . IGARSS, стр. 2408-2411. IEEE, (2007)

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A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China., , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2021)Improving Wheat Yield Estimates by Integrating a Remotely Sensed Drought Monitoring Index Into the Simple Algorithm for Yield Estimate Model., , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Evaluating the Use of an Object-Based Approach to Lithological Mapping in Vegetated Terrain., , и . Remote Sensing, 8 (10): 843 (2016)Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China., , , , , и . Comput. Electron. Agric., (2022)Airborne S-Band SAR for Forest Biophysical Retrieval in Temperate Mixed Forests of the UK., , , , , , , , , и 13 other автор(ы). Remote. Sens., 8 (7): 609 (2016)A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables., , , , , и . Comput. Electron. Agric., (марта 2023)Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery., , , , , и . Comput. Electron. Agric., (2020)Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa., , , , , , , , , и 2 other автор(ы). Remote. Sens., 12 (2): 334 (2020)Enhanced Feature Extraction From Assimilated VTCI and LAI With a Particle Filter for Wheat Yield Estimation Using Cross-Wavelet Transform., , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Tropical forest structure observation with TanDEM-X data., , , , , , , , , и 3 other автор(ы). IGARSS, стр. 918-921. IEEE, (2017)