{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T01:32:12Z","timestamp":1772847132458,"version":"3.50.1"},"reference-count":57,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2021,10,8]],"date-time":"2021-10-08T00:00:00Z","timestamp":1633651200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31670549"],"award-info":[{"award-number":["31670549"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The Qinling Mountains represent the dividing line of the natural landscape of north-south in China. The prediction on vegetation coverage is important for protecting the ecological environment of the Qinling Mountains. In this paper, the data accuracy and reliability of three vegetation index data (GIMMS NDVI, SPOT NDVI, and MODIS NDVI) were compared at first. SPOT, NDVI, and MODIS NDVI were used for calculating the vegetation coverage in the Qinling Mountains. Based on the CA\u2013Markov model, the vegetation coverage grades in 2008, 2010, and 2013 were used to simulate the vegetation coverage grade in 2025. The results show that the grades of vegetation coverage of the Qinling Mountains calculated by SPOT, NDVI, and MODIS NDVI are highly similar. According to the prediction results, the grade of vegetation coverage in the Qinling Mountains has a rising trend under the guidance of the policy, particularly in urban areas. Most of the vegetation coverage transit from low vegetation coverage to middle and low vegetation coverage. The grades of the vegetation coverage, which were predicted by the CA\u2013Markov model using SPOT, NDVI, and MODI NDVI, are consistent in spatial distribution and temporal variation.<\/jats:p>","DOI":"10.3390\/ijgi10100679","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T21:23:25Z","timestamp":1633901005000},"page":"679","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Vegetation Coverage Prediction for the Qinling Mountains Using the CA\u2013Markov Model"],"prefix":"10.3390","volume":"10","author":[{"given":"Lu","family":"Cui","sequence":"first","affiliation":[{"name":"Shaanxi Key Laboratory of Land Consolidation, The School of Earth Science and Resources, The School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9818-3682","authenticated-orcid":false,"given":"Yonghua","family":"Zhao","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Land Consolidation, The School of Earth Science and Resources, The School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"given":"Jianchao","family":"Liu","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Land Consolidation, The School of Earth Science and Resources, The School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"given":"Huanyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Degraded and Unused Land Consolidation Engineering, The Ministry of Natural and Resources, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi\u2019an 710075, China"}]},{"given":"Ling","family":"Han","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Land Consolidation, The School of Earth Science and Resources, The School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"given":"Juan","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Degraded and Unused Land Consolidation Engineering, The Ministry of Natural and Resources, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi\u2019an 710075, China"}]},{"given":"Zenghui","family":"Sun","sequence":"additional","affiliation":[{"name":"Key Laboratory of Degraded and Unused Land Consolidation Engineering, The Ministry of Natural and Resources, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi\u2019an 710075, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1146\/annurev-earth-063016-020552","article-title":"Hydrogeomorphic ecosystem responses to natural and anthropogenic changes in the loess plateau of China","volume":"45","author":"Fu","year":"2017","journal-title":"Annu. 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