Cropland productivity assessment for Ukraine based on time series of optical satellite images
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8118204/8126808/08128127.pdf?arnumber=8128127
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Estimation of sunflower planted areas in Ukraine during full-scale Russian invasion: Insights from Sentinel-1 SAR data;Science of Remote Sensing;2024-12
2. Flooded Areas’ Monitoring Under the Kakhovka Dam Based on Machine Learning and Satellite Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
3. Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity;Biogeosciences;2024-01-25
4. Detection of War-Damaged Agricultural Fields of Ukraine Based on Vegetation Indices Using Sentinel-2 Data;2022 12th International Conference on Dependable Systems, Services and Technologies (DESSERT);2022-12-09
5. Cloud-Based Technologies for Data Processing in Ukraine: International Context;Progress in Advanced Information and Communication Technology and Systems;2022-11-18
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