{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:47:02Z","timestamp":1775069222426,"version":"3.50.1"},"reference-count":108,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,2,23]],"date-time":"2022-02-23T00:00:00Z","timestamp":1645574400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Department of Science and Technology of the Inner Mongolia Autonomous Region","award":["2021ZD0015-01"],"award-info":[{"award-number":["2021ZD0015-01"]}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2016YFC0500502"],"award-info":[{"award-number":["2016YFC0500502"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In recent years, the application of unmanned aerial vehicle (UAV) remote sensing in grassland ecosystem monitoring has increased, and the application directions have diversified. However, there have been few research reviews specifically for grassland ecosystems at present. Therefore, it is necessary to systematically and comprehensively summarize the application of UAV remote sensing in grassland ecosystem monitoring. In this paper, we first analyzed the application trend of UAV remote sensing in grassland ecosystem monitoring and introduced common UAV platforms and remote sensing sensors. Then, the application scenarios of UAV remote sensing in grassland ecosystem monitoring were reviewed from five aspects: grassland vegetation monitoring, grassland animal surveys, soil physical and chemical monitoring, grassland degradation monitoring and environmental disturbance monitoring. Finally, the current limitations and future development directions were summarized. The results will be helpful to improve the understanding of the application scenarios of UAV remote sensing in grassland ecosystem monitoring and to provide a scientific reference for ecological remote sensing research.<\/jats:p>","DOI":"10.3390\/rs14051096","type":"journal-article","created":{"date-parts":[[2022,2,24]],"date-time":"2022-02-24T00:53:26Z","timestamp":1645664006000},"page":"1096","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":90,"title":["Unmanned Aerial Vehicle (UAV) Remote Sensing in Grassland Ecosystem Monitoring: A Systematic Review"],"prefix":"10.3390","volume":"14","author":[{"given":"Xin","family":"Lyu","sequence":"first","affiliation":[{"name":"School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875, China"},{"name":"College of Life Sciences, Beijing Normal University, Beijing 100875, China"}]},{"given":"Xiaobing","family":"Li","sequence":"additional","affiliation":[{"name":"School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875, China"}]},{"given":"Dongliang","family":"Dang","sequence":"additional","affiliation":[{"name":"School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875, China"}]},{"given":"Huashun","family":"Dou","sequence":"additional","affiliation":[{"name":"School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875, China"}]},{"given":"Kai","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875, China"}]},{"given":"Anru","family":"Lou","sequence":"additional","affiliation":[{"name":"College of Life Sciences, Beijing Normal University, Beijing 100875, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"106310","DOI":"10.1016\/j.ecolind.2020.106310","article-title":"A new method for grassland degradation monitoring by vegetation species composition using hyperspectral remote sensing","volume":"114","author":"Lyu","year":"2020","journal-title":"Ecol. 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