Detection of War-Damaged Agricultural Fields of Ukraine Based on Vegetation Indices Using Sentinel-2 Data
Author:
Affiliation:
1. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”,Kiev,Ukraine
Funder
Bank for Reconstruction and Development (“World Bank”)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10018604/10018574/10018739.pdf?arnumber=10018739
Reference12 articles.
1. Cropland productivity assessment for Ukraine based on time series of optical satellite images
2. Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world
3. Detection of Crop Hail Damage with a Machine Learning Algorithm Using Time Series of Remote Sensing Data
4. A Methodological Proposal to Support Estimation of Damages from Hailstorms Based on Copernicus Sentinel 2 Data Times Series
Cited by 5 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. AUTOMATED DETECTION AND ASSESSMENT OF WAR-INDUCED DAMAGE TO AGRICULTURAL FIELDS USING SATELLITE IMAGERY;Automation of technological and business processes;2024-05-23
2. Student Research Abstract: Detection of War-Caused Agricultural Field Damages Using Sentinel-2 Satellite Data with Machine Learning and Anomaly Detection;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08
3. Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning;International Journal of Applied Earth Observation and Geoinformation;2023-12
4. Fusion of very high and moderate spatial resolution satellite data for detection and mapping of damages in agricultural fields;2023 13th International Conference on Dependable Systems, Services and Technologies (DESSERT);2023-10-13
5. Detection and mapping of artillery craters with very high spatial resolution satellite imagery and deep learning;Science of Remote Sensing;2023-06
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3