{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T16:30:22Z","timestamp":1782750622315,"version":"3.54.5"},"reference-count":68,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T00:00:00Z","timestamp":1734480000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Green Production Engineering Technology Research Center of Xinjiang Planting Industry","award":["23XJZZYLS06"],"award-info":[{"award-number":["23XJZZYLS06"]}]},{"name":"The Green Production Engineering Technology Research Center of Xinjiang Planting Industry","award":["2023TSYCLJ0014"],"award-info":[{"award-number":["2023TSYCLJ0014"]}]},{"name":"Tianshan Talent Training Program","award":["23XJZZYLS06"],"award-info":[{"award-number":["23XJZZYLS06"]}]},{"name":"Tianshan Talent Training Program","award":["2023TSYCLJ0014"],"award-info":[{"award-number":["2023TSYCLJ0014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Vegetation diversity is a crucial indicator for evaluating grassland ecosystems. Remote sensing technology has great potential in assessing grassland vegetation diversity. In this study, the relationship between remote sensing indices and species diversity was investigated at varying spatial and temporal scales in Bayanbulak Grassland National Nature Reserve, China. Spectral variation, defined as the coefficient of variation in vegetation indices, was used as a proxy for species diversity, which was quantified using species diversity indices. The \u201cspectral diversity-species diversity\u201d relationship was validated across diverse spatial scales and between different years using Sentinel-2 images and ground investigation data. This study found that Kendall\u2019s \u03c4 coefficients showed the best performance in evaluating the relationship between the coefficient of variation in VIs (CVVIs) and species diversity index. The highest \u03c4 value was observed for CVNDVI in 2017 (\u03c4 = 0.660, p &lt; 0.01), followed by the Shannon index in 2018 (\u03c4 = 0.451, p &lt; 0.01). In addition, CVEVI demonstrated a significant positive correlation with the Shannon-Wiener Index at the 50 m scale (\u03c4 = 0.542), and the highest relationship \u03c4 between CVNDVI and the Shannon-Wiener Index was observed at the 100 m scale (\u03c4 = 0.660). The Shannon-Wiener Index in relation to CVVIs performs better in representing changes in grassland vegetation. Spatial scales and vegetation indices influence the assessment of grassland vegetation diversity. These findings underscore the critical role of remote sensing technology in assessing grassland vegetation diversity across various scales, offering valuable support tools for measuring regional grassland vegetation diversity.<\/jats:p>","DOI":"10.3390\/rs16244726","type":"journal-article","created":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T09:43:03Z","timestamp":1734514983000},"page":"4726","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["An Evaluation of the Performance of Remote Sensing Indices as an Indication of Spatial Variability and Vegetation Diversity in Alpine Grassland"],"prefix":"10.3390","volume":"16","author":[{"given":"Yanan","family":"Sang","sequence":"first","affiliation":[{"name":"The Green Production Engineering Technology Research Center of Xinjiang Planting Industry, Urumqi 830052, China"},{"name":"College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6192-0842","authenticated-orcid":false,"given":"Haibin","family":"Gu","sequence":"additional","affiliation":[{"name":"The Green Production Engineering Technology Research Center of Xinjiang Planting Industry, Urumqi 830052, China"},{"name":"College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China"},{"name":"Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi 830052, China"},{"name":"Xinjiang Engineering Technology Research Center of Soil Big Data, Urumqi 830052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6287-5553","authenticated-orcid":false,"given":"Qingmin","family":"Meng","sequence":"additional","affiliation":[{"name":"Department of Geosciences, Mississippi State University, Starkville, MS 39762, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinna","family":"Men","sequence":"additional","affiliation":[{"name":"The Green Production Engineering Technology Research Center of Xinjiang Planting Industry, Urumqi 830052, China"},{"name":"College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China"},{"name":"Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi 830052, China"},{"name":"Xinjiang Engineering Technology Research Center of Soil Big Data, Urumqi 830052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiandong","family":"Sheng","sequence":"additional","affiliation":[{"name":"The Green Production Engineering Technology Research Center of Xinjiang Planting Industry, Urumqi 830052, China"},{"name":"College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China"},{"name":"Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi 830052, China"},{"name":"Xinjiang Engineering Technology Research Center of Soil Big Data, Urumqi 830052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Li","sequence":"additional","affiliation":[{"name":"The Green Production Engineering Technology Research Center of Xinjiang Planting Industry, Urumqi 830052, China"},{"name":"College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China"},{"name":"Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi 830052, China"},{"name":"Xinjiang Engineering Technology Research Center of Soil Big Data, Urumqi 830052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6072-4428","authenticated-orcid":false,"given":"Ze","family":"Wang","sequence":"additional","affiliation":[{"name":"The Green Production Engineering Technology Research Center of Xinjiang Planting Industry, Urumqi 830052, China"},{"name":"College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China"},{"name":"Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi 830052, China"},{"name":"Xinjiang Engineering Technology Research Center of Soil Big Data, Urumqi 830052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1890\/140270","article-title":"Toward an old-growth concept for grasslands, savannas, and woodlands","volume":"13","author":"Veldman","year":"2015","journal-title":"Front. 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