{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T11:46:14Z","timestamp":1774525574293,"version":"3.50.1"},"reference-count":124,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The use of geospatial sciences and technologies for the management of grazinglands has fostered a plethora of applications related to ecology, wildlife, vegetation science, forage productivity and quality, and animal husbandry. Some of the earliest use of remote sensing dates to the proliferation of aerial photography in the 1930s. Today, remote sensing using satellite imagery, global navigation satellite systems (GNSS), and internet-connected devices and sensors allow for real- and near real-time modeling and observation of grazingland resources. In this special issue of Remote Sensing, we introduce nine original publications focusing on varying aspects of grazingland management, such as animal health and telemetry, climate change, soil moisture, herbaceous biomass, and vegetation phenology. The work in this issue spans a diverse range of scale from satellite to unmanned aerial systems imagery, as well as ground-based measurements from mounted cameras, telemetry devices, and datalogging devices. Remote sensing-based technologies continue to evolve, allowing us to address critical issues facing grazingland management such as climate change, restoration, forage abundance and quality, and animal behavior, production, and welfare.<\/jats:p>","DOI":"10.3390\/rs14081882","type":"journal-article","created":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T02:39:31Z","timestamp":1650335971000},"page":"1882","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Perspectives on the Special Issue for Applications of Remote Sensing for Livestock and Grazingland Management"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4548-0947","authenticated-orcid":false,"given":"Edward C.","family":"Rhodes","sequence":"first","affiliation":[{"name":"Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, TX 78363, USA"},{"name":"Texas A&M AgriLife Research, Texas Water Resources Institute, College Station, TX 77843, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7700-7110","authenticated-orcid":false,"given":"Humberto L.","family":"Perotto-Baldivieso","sequence":"additional","affiliation":[{"name":"Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, TX 78363, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3948-9574","authenticated-orcid":false,"given":"Matthew C.","family":"Reeves","sequence":"additional","affiliation":[{"name":"Human Dimensions Program, USDA Forest Service, Rocky Mountain Research Station, Missoula, MT 59801, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6400-2588","authenticated-orcid":false,"given":"Luciano A.","family":"Gonzalez","sequence":"additional","affiliation":[{"name":"Sydney Institute of Agriculture, School of Life and Environmental Sciences, University of Sydney, Camden 2570, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1002\/2016GB005601","article-title":"Quantification of uncertainties in global grazing systems assessment","volume":"31","author":"Fetzel","year":"2017","journal-title":"Glob. 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