{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T01:13:07Z","timestamp":1774401187719,"version":"3.50.1"},"reference-count":40,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T00:00:00Z","timestamp":1699401600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program","doi-asserted-by":"publisher","award":["2019YFE0126700"],"award-info":[{"award-number":["2019YFE0126700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program","doi-asserted-by":"publisher","award":["2020YFE0200700"],"award-info":[{"award-number":["2020YFE0200700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Five countries in the Lancang\u2013Mekong region, including Myanmar, Laos, Thailand, Cambodia, and Vietnam, are facing the threat of deforestation, despite having a high level of forest coverage. Quantitatively assessing the forest ecosystem status and its variations based on remote sensing products for vegetation parameters is a crucial prerequisite for the ongoing phase of our future project. In this study, we analyzed forest health in the year 2020 using four vegetation indicators: forest coverage index (FCI), leaf area index (LAI), fraction of green vegetation cover (FVC), and gross primary productivity (GPP). Additionally, we introduced an ecosystem quality index (EQI) to assess the quality of forest health. To understand the long-term trends in the vegetation indicators and EQI, we also performed a linear regression analysis from 2010 to 2020. The results revealed that Laos ranked as the top-performing country for forest ecosystem status in the Lancang\u2013Mekong region in 2020. However, the long-term trend analysis results showed that Cambodia experienced the most significant decline across all indicators, while Vietnam and Thailand demonstrated varying degrees of improvement. This study provides a quality assessment of forest health and its variations in the Lancang\u2013Mekong region, which is crucial for implementing effective conservation strategies.<\/jats:p>","DOI":"10.3390\/s23229038","type":"journal-article","created":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T01:54:30Z","timestamp":1699408470000},"page":"9038","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Assessment of Forest Ecosystem Variations in the Lancang\u2013Mekong Region by Remote Sensing from 2010 to 2020"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7221-3556","authenticated-orcid":false,"given":"Jing","family":"Zhao","sequence":"first","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3713-9511","authenticated-orcid":false,"given":"Qinhuo","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1257-9449","authenticated-orcid":false,"given":"Yadong","family":"Dong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2175-8879","authenticated-orcid":false,"given":"Li","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2874-9219","authenticated-orcid":false,"given":"Hu","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2953","DOI":"10.1007\/s11269-014-0648-5","article-title":"Assessment of Contributions of Climatic Variation and Human Activities to Streamflow Changes in the Lancang River, China","volume":"28","author":"Tang","year":"2014","journal-title":"Water Resour. Manag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.earscirev.2015.03.007","article-title":"Environmental consequences of damming the mainstream Lancang-Mekong River: A review","volume":"146","author":"Fan","year":"2015","journal-title":"Earth-Sci. Rev."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.agrformet.2021.108662","article-title":"Spatiotemporal variations of forest ecohydrological characteristics in the Lancang-Mekong region during 1992\u20132016 and 2020\u20132099 under different climate scenarios","volume":"310","author":"Kayiranga","year":"2021","journal-title":"Agric. For. Meteorol."},{"key":"ref_4","first-page":"15","article-title":"Quantitative assessment of the impacts of climate and human activities on streamflow of the Lancang-Mekong river over the recent decades","volume":"10","author":"Li","year":"2023","journal-title":"Front. Earth Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2023.113575","article-title":"High-temporal-resolution monitoring of reservoir water storage of the Lancang-Mekong River","volume":"292","author":"Wang","year":"2023","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Zhang, L., Song, W., and Song, W. (2020). Assessment of Agricultural Drought Risk in the Lancang-Mekong Region, South East Asia. Int. J. Environ. Res. Public Health, 17.","DOI":"10.3390\/ijerph17176153"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1046\/j.1365-3040.1999.00453.x","article-title":"The carbon balance of tropical, temperate and boreal forests","volume":"22","author":"Malhi","year":"1999","journal-title":"Plant Cell Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1111\/j.1365-2486.2007.01336.x","article-title":"Spatial and temporal variability of net ecosystem production in a tropical forest: Testing the hypothesis of a significant carbon sink","volume":"13","author":"Sierra","year":"2007","journal-title":"Glob. Chang. Biol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.gloplacha.2021.103542","article-title":"Integrated remote sensing and model approach for impact assessment of future climate change on the carbon budget of global forest ecosystems","volume":"203","author":"Zhao","year":"2021","journal-title":"Glob. Planet. Chang."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1504\/IJGW.2022.124622","article-title":"Predictive modelling of boreal forest resources in regulation of the carbon cycle and mitigation of the global warming","volume":"27","author":"Kolomyts","year":"2022","journal-title":"Int. J. Glob. Warm."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Wen, Z.Q., Li, X., and Li, T.H. (2020). Comprehensive Study on Freshwater Ecosystem Health of Lancang River Basin in Xishuangbanna of China. Water, 12.","DOI":"10.3390\/w12061716"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Filipponi, F., Valentini, E., Xuan, A.N., Guerra, C.A., Wolf, F., Andrzejak, M., and Taramelli, A. (2018). Global MODIS Fraction of Green Vegetation Cover for Monitoring Abrupt and Gradual Vegetation Changes. Remote Sens., 10.","DOI":"10.3390\/rs10040653"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1749","DOI":"10.1016\/j.rse.2007.08.018","article-title":"North American vegetation dynamics observed with multi-resolution satellite data","volume":"112","author":"Neigh","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1016\/j.rse.2015.03.031","article-title":"Evaluating temporal consistency of long-term global NDVI datasets for trend analysis","volume":"163","author":"Tian","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_15","first-page":"544","article-title":"Dynamic monitoring method of forest coverage based on GIS technology","volume":"22","author":"Zhang","year":"2020","journal-title":"Glob. Nest J."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Wu, J.H., and Liang, S.L. (2020). Assessing Terrestrial Ecosystem Resilience using Satellite Leaf Area Index. Remote Sens., 12.","DOI":"10.3390\/rs12040595"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.ecolind.2022.108818","article-title":"Detection of vegetation coverage changes in the Yellow River Basin from 2003 to 2020","volume":"138","author":"Liu","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_18","first-page":"6573","article-title":"Dynamic monitoring and evaluation model for spatio-temporal change of comprehensive ecological quality of vegetation","volume":"40","author":"Qian","year":"2020","journal-title":"Acta Ecol. Sin."},{"key":"ref_19","unstructured":"Ministry of Ecology and Environment of the People\u2019s Republic of China (2021). Technical Specification for Investigation and Assessment of National Ecological Status\u2014Ecosystem Quality Assessment, Hj 1172\u20142021, China Environmental Science Press. (In Chinese)."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Ren, X.Y., Zhang, M.K., Qian, J.C., Li, S.Q., Wang, J.X., and Du, J. (2022). Analyzing Spatio-Temporal Change in Ecosystem Quality and Its Driving Mechanism in Henan Province, China, from 2010 to 2020. Sustainability, 14.","DOI":"10.3390\/su141811742"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"18348","DOI":"10.1007\/s11356-021-17978-2","article-title":"Information entropy and elasticity analysis of the land use structure change influencing eco-environmental quality in Qinghai-Tibet Plateau from 1990 to 2015","volume":"29","author":"Zhang","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Sun, R., Chen, S.H., and Su, H.B. (2022). Trend Analysis and Driving Factors of Vegetation Dynamics in Northern China from 1982 to 2015. Remote Sens., 14.","DOI":"10.3390\/rs14236163"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"He, C.Y., Yan, F., Wang, Y.J., and Lu, Q. (2022). Spatiotemporal Variation in Vegetation Growth Status and Its Response to Climate in the Three-River Headwaters Region, China. Remote Sens., 14.","DOI":"10.3390\/rs14195041"},{"key":"ref_24","first-page":"13","article-title":"Dynamic changes of vegetation coverage in China-Myanmar economic corridor over the past 20 years","volume":"102","author":"Li","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.ecolind.2021.108004","article-title":"The trend of vegetation greening and its drivers in the Agro-pastoral ecotone of northern China, 2000\u20132020","volume":"129","author":"Pei","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.ecolind.2011.08.011","article-title":"Trend analysis of vegetation dynamics in Qinghai-Tibet Plateau using Hurst Exponent","volume":"14","author":"Peng","year":"2012","journal-title":"Ecol. Indic."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"5289697","DOI":"10.34133\/2021\/5289697","article-title":"Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects","volume":"2021","author":"Liu","year":"2021","journal-title":"J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2753","DOI":"10.5194\/essd-13-2753-2021","article-title":"GLC_FCS30: Global land-cover product with fine classification system at 30m using time-series Landsat imagery","volume":"13","author":"Zhang","year":"2021","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1625","DOI":"10.5194\/essd-12-1625-2020","article-title":"Development of a global 30m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform","volume":"12","author":"Zhang","year":"2020","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.rse.2020.111700","article-title":"Improving leaf area index retrieval over heterogeneous surface mixed with water","volume":"240","author":"Xu","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"4400317","DOI":"10.1109\/TGRS.2023.3235949","article-title":"A Method for Retrieving Coarse-Resolution Leaf Area Index for Mixed Biomes Using a Mixed-Pixel Correction Factor","volume":"61","author":"Dong","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","first-page":"10","article-title":"Estimating fractional vegetation cover from leaf area index and clumping index based on the gap probability theory","volume":"90","author":"Zhao","year":"2020","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_33","first-page":"14","article-title":"Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type","volume":"100","author":"Lin","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_34","first-page":"1056","article-title":"Present and future Kppen-Geiger climate classification maps at 1-km resolution","volume":"11","author":"Beck","year":"2019","journal-title":"Springer Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.1007\/s12205-019-1061-7","article-title":"Analysis of the Relationship among Flood Severity, Precipitation, and Deforestation in the Tonle Sap Lake Area, Cambodia Using Multi-Sensor Approach","volume":"23","author":"Kim","year":"2019","journal-title":"KSCE J. Civ. Eng."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Lohani, S., Dilts, T.E., Weisberg, P.J., Null, S.E., and Hogan, Z.S. (2020). Rapidly Accelerating Deforestation in Cambodia\u2019s Mekong River Basin: A Comparative Analysis of Spatial Patterns and Drivers. Water, 12.","DOI":"10.3390\/w12082191"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1038\/s41598-022-19660-0","article-title":"High deforestation trajectories in Cambodia slowly transformed through economic land concession restrictions and strategic execution of REDD plus protected areas","volume":"12","author":"Pauly","year":"2022","journal-title":"Sci. Rep."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.ecolind.2020.106521","article-title":"Ecological environment assessment for Greater Mekong Subregion based on Pressure-State-Response framework by remote sensing","volume":"117","author":"Wu","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"28769","DOI":"10.1007\/s11356-021-17156-4","article-title":"Spatio-temporal evolution of ecological environment quality in China from a concept of strong sustainability","volume":"29","author":"Yang","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/s10661-018-6690-7","article-title":"Analysis of spatial-temporal variation in NPP based on hydrothermal conditions in the Lancang-Mekong River Basin from 2000 to 2014","volume":"190","author":"Li","year":"2018","journal-title":"Environ. Monit. Assess."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/22\/9038\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:19:08Z","timestamp":1760131148000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/22\/9038"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,8]]},"references-count":40,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2023,11]]}},"alternative-id":["s23229038"],"URL":"https:\/\/doi.org\/10.3390\/s23229038","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,8]]}}}