{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T01:21:46Z","timestamp":1783732906595,"version":"3.55.0"},"reference-count":68,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T00:00:00Z","timestamp":1595376000000},"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":["31971577"],"award-info":[{"award-number":["31971577"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019M651842"],"award-info":[{"award-number":["2019M651842"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"publisher","award":["no"],"award-info":[{"award-number":["no"]}],"id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Forest cover change is critical in the regulation of global and regional climate change through the alteration of biophysical features across the Earth\u2019s surface. The accurate assessment of forest cover change can improve our understanding of its roles in the regulation processes of surface temperature. In spite of this, few researchers have attempted to discern the varying effects of multiple satellite-derived forest changes on local surface temperatures. In this study, we quantified the actual contributions of forest loss and gain associated with evapotranspiration (ET) and albedo to local surface temperature in Guangdong Province, China using an improved spatiotemporal change pattern analysis method, and explored the interrelationships between surface temperature and air temperature change. We specifically developed three forest change products for Guangdong, combining satellite observations from Landsat, PALSAR, and MODIS for comparison. Our results revealed that the adjusted simple change detection (SCD)-based Landsat\/PALSAR forest cover data performed relatively well. We found that forest loss and gain between 2000 and 2010 had opposite effects on land surface temperature (LST), ET, and albedo. Forest gain led to a cooling of \u22120.12 \u00b1 0.01 \u00b0C, while forest loss led to a warming of 0.07 \u00b1 0.01 \u00b0C, which were opposite to the anomalous change of air temperature. A reduced warming to a considerable cooling was estimated due to the forest gain and loss across latitudes. Specifically, mid-subtropical forest gains increased LST by 0.25 \u00b1 0.01 \u00b0C, while tropical forest loss decreased LST by \u22120.16 \u00b1 0.05 \u00b0C, which can demonstrate the local differences in an overall cooling. ET induced cooling and warming effects were appropriate for most forest gain and loss. Meanwhile, the nearby temperature changes caused by no-change land cover types more or less canceled out some of the warming and cooling. Albedo exhibited negligible and complex impacts. The other two products (i.e., the GlobeLand30 and MCD12Q1) affect the magnitude of temperature response due to the discrepancies in forest definition, methodology, and data resolution. This study highlights the non-negligible contributions of high-resolution maps and a robust temperature response model in the quantification of the extent to which forest gain reverses the climate effects of forest loss under global warming.<\/jats:p>","DOI":"10.3390\/rs12152354","type":"journal-article","created":{"date-parts":[[2020,7,23]],"date-time":"2020-07-23T11:26:01Z","timestamp":1595503561000},"page":"2354","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Quantifying the Actual Impacts of Forest Cover Change on Surface Temperature in Guangdong, China"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8691-8036","authenticated-orcid":false,"given":"Wenjuan","family":"Shen","sequence":"first","affiliation":[{"name":"College of Forestry, Nanjing Forestry University, Nanjing 210037, China"},{"name":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6394-5218","authenticated-orcid":false,"given":"Jiaying","family":"He","sequence":"additional","affiliation":[{"name":"Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengquan","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5689-5091","authenticated-orcid":false,"given":"Mingshi","family":"Li","sequence":"additional","affiliation":[{"name":"College of Forestry, Nanjing Forestry University, Nanjing 210037, China"},{"name":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,7,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.5194\/bg-7-1383-2010","article-title":"Combined biogeophysical and biogeochemical effects of large-scale forest cover changes in the MPI earth system model","volume":"7","author":"Bathiany","year":"2010","journal-title":"Biogeosciences"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1126\/science.1155121","article-title":"Forests and climate change forcings, feedbacks, and the climate benefits of forests","volume":"320","author":"Bonan","year":"2008","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1038\/nclimate3250","article-title":"Local temperature response to land cover and management change driven by non-radiative processes","volume":"7","author":"Bright","year":"2017","journal-title":"Nat. Clim. Change"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1007\/s003820050007","article-title":"Simulated impacts of historical land cover changes on global climate in northern winter","volume":"16","author":"Chase","year":"2000","journal-title":"Clim. Dyn."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1890\/12-1705.1","article-title":"Biophysical forcings of land-use changes from potential forestry activities in North America","volume":"84","author":"Zhao","year":"2014","journal-title":"Ecol. Monogr."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.agrformet.2017.11.030","article-title":"The role of surface roughness, albedo, and Bowen ratio on ecosystem energy balance in the Eastern United States","volume":"249","author":"Burakowski","year":"2018","journal-title":"Agric. For. Meteorol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1038\/s41467-019-14017-0","article-title":"Reconciling the disagreement between observed and simulated temperature responses to deforestation","volume":"11","author":"Chen","year":"2020","journal-title":"Nat. Commun."},{"key":"ref_8","first-page":"1","article-title":"Predominant regional biophysical cooling from recent land cover changes in Europe","volume":"11","author":"Huang","year":"2020","journal-title":"Nat. Commun."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.rse.2012.12.008","article-title":"Satellite-derived land surface temperature: Current status and perspectives","volume":"131","author":"Li","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1126\/science.aac8083","article-title":"Biophysical climate impacts of recent changes in global forest cover","volume":"351","author":"Alkama","year":"2016","journal-title":"Science"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1038\/nature10588","article-title":"Observed increase in local cooling effect of deforestation at higher latitudes","volume":"479","author":"Lee","year":"2011","journal-title":"Nature"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"7897","DOI":"10.1002\/ece3.3262","article-title":"A pantropical analysis of the impacts of forest degradation and conversion on local temperature","volume":"7","author":"Senior","year":"2017","journal-title":"Ecol. Evol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1175\/EI-D-17-0033.1","article-title":"Climate impacts from afforestation and deforestation in Europe","volume":"23","author":"Strandberg","year":"2019","journal-title":"Earth Interact."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1002\/2017JD027522","article-title":"Response of surface temperature to afforestation in the Kubuqi Desert, Inner Mongolia","volume":"123","author":"Wang","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"14372","DOI":"10.1002\/2016JD024969","article-title":"Potential and Actual impacts of deforestation and afforestation on land surface temperature","volume":"121","author":"Li","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2915","DOI":"10.1073\/pnas.1315126111","article-title":"Afforestation in China cools local land surface temperature","volume":"111","author":"Peng","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"053002","DOI":"10.1088\/1748-9326\/aa6b3f","article-title":"Biophysical effects on temperature and precipitation due to land cover change","volume":"12","author":"Perugini","year":"2017","journal-title":"Environ. Res. Lett."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Prevedello, J.A., Winck, G.R., Weber, M.M., Nichols, E., and Sinervo, B. (2019). Impacts of forestation and deforestation on local temperature across the globe. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0213368"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3811","DOI":"10.1175\/JCLI-D-17-0563.1","article-title":"Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections","volume":"31","author":"Devaraju","year":"2018","journal-title":"J. Clim."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.5194\/essd-10-1265-2018","article-title":"Biophysics and vegetation cover change: A process-based evaluation framework for confronting land surface models with satellite observations","volume":"10","author":"Duveiller","year":"2018","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"074014","DOI":"10.1088\/1748-9326\/aa7394","article-title":"Impact of deforestation on subsurface temperature profiles: Implications for the borehole paleoclimate record","volume":"12","author":"MacDougall","year":"2017","journal-title":"Environ. Res. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1890\/090179","article-title":"Biophysical considerations in forestry for climate protection","volume":"9","author":"Anderson","year":"2011","journal-title":"Front. Ecol. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Tang, B., Zhao, X., and Zhao, W. (2018). Local effects of forests on temperatures across Europe. Remote Sens., 10.","DOI":"10.3390\/rs10040529"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4445","DOI":"10.1175\/JCLI-D-18-0772.1","article-title":"The nonradiative effect dominates local surface temperature change caused by afforestation in China","volume":"32","author":"Ge","year":"2019","journal-title":"J. Clim."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"6603","DOI":"10.1038\/ncomms7603","article-title":"Local cooling and warming effects of forests based on satellite observations","volume":"6","author":"Li","year":"2015","journal-title":"Nat. Commun."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"107641","DOI":"10.1016\/j.agrformet.2019.107641","article-title":"Local land surface temperature change induced by afforestation based on satellite observations in Guangdong plantation forests in China","volume":"276\u2013277","author":"Shen","year":"2019","journal-title":"Agric. For. Meteorol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1126\/science.1244693","article-title":"High-resolution global maps of 21st-century forest cover change","volume":"342","author":"Hansen","year":"2013","journal-title":"Science"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1038\/nclimate1294","article-title":"Importance of background climate in determining impact of land-cover change on regional climate","volume":"1","author":"Pitman","year":"2011","journal-title":"Nat. Clim. Change"},{"key":"ref_29","first-page":"230","article-title":"Landsat time series analysis for temperate forest cover change detection in the Sierra Madre Occidental, Durango, Mexico","volume":"73","author":"Franks","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1111\/geb.12013","article-title":"Empirical analysis of the influence of forest extent on annual and seasonal surface temperatures for the continental United States","volume":"22","author":"Wickham","year":"2013","journal-title":"Global Ecol. Biogeogr."},{"key":"ref_31","unstructured":"Liang, S., and Wang, J. (2020). Chapter 25\u2014Forest Cover Changes: Mapping and Climatic Impact Assessment. Advanced Remote Sensing, Academic Press."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.rse.2014.02.015","article-title":"Good practices for estimating area and assessing accuracy of land change","volume":"148","author":"Olofsson","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.rse.2012.10.031","article-title":"Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation","volume":"129","author":"Olofsson","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.isprsjprs.2014.09.002","article-title":"Global land cover mapping at 30m resolution: A POK-based operational approach","volume":"103","author":"Chen","year":"2015","journal-title":"ISPRS J. Photogramm."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.rse.2014.04.014","article-title":"New global forest\/non-forest maps from ALOS PALSAR data (2007\u20132010)","volume":"155","author":"Shimada","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Shen, W., Li, M., Huang, C., Tao, X., Li, S., and Wei, A. (2019). Mapping annual forest change due to afforestation in Guangdong province of China using active and passive remote sensing data. Remote Sens., 11.","DOI":"10.3390\/rs11050490"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.rse.2018.12.013","article-title":"Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product","volume":"222","author":"Gray","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"7145","DOI":"10.1080\/01431161.2013.815382","article-title":"Enhancing post-classification change detection through morphological post-processing\u2014A sensitivity analysis","volume":"34","author":"Seebach","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.rse.2010.07.009","article-title":"Validation of North American forest disturbance dynamics derived from Landsat time series stacks","volume":"115","author":"Thomas","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_40","first-page":"52","article-title":"Forest inventory in China: Status and challenges","volume":"11","author":"Lei","year":"2009","journal-title":"Int. For. Rev."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.rse.2009.08.017","article-title":"An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks","volume":"114","author":"Huang","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1007\/s11769-017-0880-z","article-title":"Spatio-temporal variations in plantation forests disturbance and recovery of Northern Guangdong Province using yearly Landsat time series observations (1986\u20132015)","volume":"27","author":"Shen","year":"2017","journal-title":"Chin. Geogr. Sci."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1080\/01431160110040323","article-title":"An assessment of support vector machines for land cover classification","volume":"23","author":"Huang","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.rse.2006.06.026","article-title":"New refinements and validation of the MODIS Land-Surface Temperature\/Emissivity products","volume":"112","author":"Wan","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1781","DOI":"10.1016\/j.rse.2011.02.019","article-title":"Improvements to a MODIS global terrestrial evapotranspiration algorithm","volume":"115","author":"Mu","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/S0034-4257(02)00091-3","article-title":"First operational BRDF, albedo nadir reflectance products from MODIS","volume":"83","author":"Schaaf","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Mildrexler, D.J., Zhao, M., and Running, S.W. (2011). A global comparison between station air temperatures and MODIS land surface temperatures reveals the cooling role of forests. J. Geophys. Res., 116.","DOI":"10.1029\/2010JG001486"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"8739","DOI":"10.3390\/rs6098739","article-title":"Assessing consistency of five global land cover data sets in China","volume":"6","author":"Bai","year":"2014","journal-title":"Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"8748","DOI":"10.1038\/s41598-017-07732-5","article-title":"Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: Differences in parameters, spatial resolution, and definitions","volume":"7","author":"Li","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.isprsjprs.2012.09.006","article-title":"Conventional and fuzzy comparisons of large scale land cover products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe","volume":"74","year":"2012","journal-title":"ISPRS J. Photogramm."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.rse.2004.05.002","article-title":"Mapping regional land cover with MODIS data for biological conservation: Examples from the Greater Yellowstone Ecosystem, USA and Para State, Brazil","volume":"92","author":"Wessels","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"4254","DOI":"10.1080\/01431161.2018.1452075","article-title":"Land cover 2.0","volume":"39","author":"Wulder","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"3923","DOI":"10.3390\/rs6053923","article-title":"MAD-MEX: Automatic wall-to-wall land cover monitoring for the Mexican REDD-MRV program using all Landsat data","volume":"6","author":"Gebhardt","year":"2014","journal-title":"Remote Sens."},{"key":"ref_54","first-page":"337","article-title":"Completion of the 2001 national land cover database for the counterminous United States","volume":"73","author":"Homer","year":"2007","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1038\/s41467-017-02810-8","article-title":"The mark of vegetation change on Earth\u2019s surface energy balance","volume":"9","author":"Duveiller","year":"2018","journal-title":"Nat. Commun."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Quattrochi, D.A., Wentz, E., Lam, N.S.-N., and Emerson, C.W. (2017). Integrating Scale in Remote Sensing and GIS, CRC Press.","DOI":"10.1201\/9781315373720"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"3137","DOI":"10.1080\/01431160701442120","article-title":"Harshness in image classification accuracy assessment","volume":"29","author":"Foody","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"3311","DOI":"10.1080\/0143116021000021189","article-title":"Post-classification change detection with data from different sensors: Some accuracy considerations","volume":"24","author":"Serra","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1080\/01431168908903939","article-title":"Review article digital change detection techniques using remotely-sensed data","volume":"10","author":"Singh","year":"1989","journal-title":"Int. J. Remote Sens."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1175\/1520-0442(2004)017<1550:TROSAF>2.0.CO;2","article-title":"The role of surface albedo feedback in Climate","volume":"17","author":"Hall","year":"2004","journal-title":"J. Clim."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1080\/17538947.2012.713190","article-title":"Global characterization and monitoring of forest cover using Landsat data: Opportunities and challenges","volume":"5","author":"Townshend","year":"2012","journal-title":"Int. J. Digit. Earth"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1038\/d41586-019-00122-z","article-title":"How much can forest fight climate change? Trees are supposed to slow global warming, but growing evidence suggests they might not always be climate saviours","volume":"565","author":"Popkin","year":"2019","journal-title":"Nature"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1175\/2009JCLI3102.1","article-title":"Climatic Impact of global-scale deforestation: Radiative versus nonradiative processes","volume":"23","author":"Davin","year":"2010","journal-title":"J. Clim."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.gloplacha.2007.03.005","article-title":"Seasonal temperature responses to land-use change in the western United States","volume":"60","author":"Kueppers","year":"2008","journal-title":"Global Planet. Change"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Liu, T., Yu, L., Bu, K., Yan, F., and Zhang, S. (2018). Seasonal local temperature responses to paddy field expansion from rain-fed farmland in the cold and humid Sanjiang Plain of China. Remote Sens., 10.","DOI":"10.3390\/rs10122009"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1733","DOI":"10.1111\/j.1365-2486.2009.02087.x","article-title":"Indirect vegetation-soil moisture feedback with application to Holocene North Africa climate","volume":"16","author":"Liu","year":"2010","journal-title":"Global Change Biol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"167","DOI":"10.5194\/esd-7-167-2016","article-title":"The role of spatial scale and background climate in the latitudinal temperature response to deforestation","volume":"7","author":"Li","year":"2016","journal-title":"Earth Syst. Dyn."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"9678","DOI":"10.1029\/2019GL084861","article-title":"Sensitivity of surface temperature to land use and land cover change-induced biophysical changes: The scale issue","volume":"46","author":"Li","year":"2019","journal-title":"Geophys. Res. Lett."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/15\/2354\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:50:52Z","timestamp":1760176252000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/15\/2354"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,22]]},"references-count":68,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2020,8]]}},"alternative-id":["rs12152354"],"URL":"https:\/\/doi.org\/10.3390\/rs12152354","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,22]]}}}