{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T21:10:52Z","timestamp":1774127452931,"version":"3.50.1"},"reference-count":43,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T00:00:00Z","timestamp":1694736000000},"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":["41975062"],"award-info":[{"award-number":["41975062"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42130610"],"award-info":[{"award-number":["42130610"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["22JR5RA405"],"award-info":[{"award-number":["22JR5RA405"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Gansu Provincial Science and Technology Project","award":["41975062"],"award-info":[{"award-number":["41975062"]}]},{"name":"Gansu Provincial Science and Technology Project","award":["42130610"],"award-info":[{"award-number":["42130610"]}]},{"name":"Gansu Provincial Science and Technology Project","award":["22JR5RA405"],"award-info":[{"award-number":["22JR5RA405"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>China has emerged as one of the global leaders in greening, achieved through human land use management practices, particularly afforestation projects. However, accurately calculating the energy balance processes of vegetated areas remains challenging because of the complexity of physical mechanisms, parameterization schemes, and driving dataset used in current research. In this study, we address these challenges by employing moving window methods in space inspired by \u201cspace-for-time\u201d. This approach allows us to eliminate the influence of climate signals on vegetation development over long periods and determine the sensitivity of seasonal contributions of Land Surface Temperature (LST) to Leaf Area Index (LAI) in China from 2001 to 2018. Our findings reveal that the sensitivity of LST to LAI in the climatology period is approximately \u22120.085 K\u00b7m2\u00b7m\u22122, indicating a cooling effect. Moreover, the climatological trend remains negative, suggesting that Chinese vegetation greening is playing an increasingly important role in cooling the land surface. Considering the energy balance equation, we further investigate the underlying mechanisms. It is observed that the radiative feedback consistently contributes positively, while the non-radiative feedback always exerts a negative influence on the sensitivity. These results provide valuable insights into the complex interactions between vegetation greening and land surface temperature in China, providing informed land management and climate adaptation strategies. Understanding these trends and mechanisms is essential for sustainable and effective environmental planning and decision making.<\/jats:p>","DOI":"10.3390\/rs15184544","type":"journal-article","created":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T23:32:27Z","timestamp":1694993547000},"page":"4544","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Analysis of Land Surface Temperature Sensitivity to Vegetation in China"],"prefix":"10.3390","volume":"15","author":[{"given":"Zhonghua","family":"Qian","sequence":"first","affiliation":[{"name":"School of Physical Science and Technology, Yangzhou University, Yangzhou 225000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingxiao","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Physical Science and Technology, Yangzhou University, Yangzhou 225000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7985-1558","authenticated-orcid":false,"given":"Fei","family":"Ji","sequence":"additional","affiliation":[{"name":"College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guolin","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Physical Science and Technology, Yangzhou University, Yangzhou 225000, China"},{"name":"College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China"},{"name":"Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qianrong","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Physical Science and Technology, Yangzhou University, Yangzhou 225000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1038\/nclimate3004","article-title":"Greening of the Earth and its drivers","volume":"6","author":"Zhu","year":"2016","journal-title":"Nat. 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