{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T08:32:33Z","timestamp":1778401953283,"version":"3.51.4"},"reference-count":41,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,4,3]],"date-time":"2018-04-03T00:00:00Z","timestamp":1522713600000},"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 of China","doi-asserted-by":"publisher","award":["2016YFA0600103"],"award-info":[{"award-number":["2016YFA0600103"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41331173"],"award-info":[{"award-number":["41331173"]}],"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":["41671332"],"award-info":[{"award-number":["41671332"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Northern China is one of the most sensitive and vulnerable regions in the country. To combat environmental degradation in northern China, a series of vegetation protection programs, such as the Three-North Shelter Forest Program (TNFSP), have been implemented. Whether the implementation of these programs in northern China has improved the vegetation conditions has merited global attention. Therefore, quantifying vegetation changes in northern China is essential for meteorological, hydrological, ecological, and societal implications. Fractional vegetation cover (FVC) is a crucial biophysical parameter which describes land surface vegetation conditions. In this study, four FVC data sets derived from remote sensing data over northern China are employed for a spatio-temporal analysis to determine the uncertainty of fractional vegetation cover change from 2001 to 2012. Trend analysis of these data sets (including an annually varying estimate of error) reveals that FVC has increased at the rate of 0.26 \u00b1 0.13%, 0.30 \u00b1 0.25%, 0.12 \u00b1 0.03%, 0.49 \u00b1 0.21% per year in northern China, Northeast China, Northwest China, and North China during the period 2001\u20132012, respectively. In all of northern China, only 33.03% of pixels showed a significant increase in vegetation cover whereas approximately 16.81% of pixels showed a significant decrease and 50.16% remained relatively stable.<\/jats:p>","DOI":"10.3390\/rs10040549","type":"journal-article","created":{"date-parts":[[2018,4,3]],"date-time":"2018-04-03T13:31:51Z","timestamp":1522762311000},"page":"549","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Spatio-Temporal Analysis and Uncertainty of Fractional Vegetation Cover Change over Northern China during 2001\u20132012 Based on Multiple Vegetation Data Sets"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6646-0718","authenticated-orcid":false,"given":"Linqing","family":"Yang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8586-4243","authenticated-orcid":false,"given":"Kun","family":"Jia","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shunlin","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China"},{"name":"College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9531-5336","authenticated-orcid":false,"given":"Xiangqin","family":"Wei","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3803-8170","authenticated-orcid":false,"given":"Yunjun","family":"Yao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaotong","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duanyang","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1826","DOI":"10.1021\/es0870597","article-title":"Why Large-Scale Afforestation Efforts in China Have Failed To Solve the Desertification Problem","volume":"42","author":"Cao","year":"2008","journal-title":"Environ. Sci. Technol."},{"key":"ref_2","first-page":"10","article-title":"China\u2019s water shortage could shake world food security","volume":"11","author":"Brown","year":"1998","journal-title":"World Watch"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/BF02841101","article-title":"Progress in China\u2019s climate change study in the 20th century","volume":"14","author":"Zhai","year":"2004","journal-title":"J. Geogr. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1007\/s00477-011-0469-5","article-title":"Spatial and temporal characteristics of changes in precipitation during 1957\u20132007 in the Haihe River basin, China","volume":"25","author":"Wang","year":"2011","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"ref_5","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_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/2014JG002741","article-title":"Observational evidence for impacts of vegetation change on local surface climate over northern China using the Granger causality test","volume":"120","author":"Jiang","year":"2015","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_7","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_8","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1007\/s12665-011-0919-x","article-title":"Assessing vegetation dynamics in the Three-North Shelter Forest region of China using AVHRR NDVI data","volume":"64","author":"Duan","year":"2011","journal-title":"Environ. Earth Sci."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Yin, R., Rothstein, D., Qi, J., and Liu, S. (2009). Methodology for an Integrative Assessment of China\u2019s Ecological Restoration Programs. An Integrated Assessment of China's Ecological Restoration Programs, Springer.","DOI":"10.1007\/978-90-481-2655-2"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"247","DOI":"10.3368\/le.81.2.247","article-title":"Grain for Green: Cost-Effectiveness and Sustainability of China\u2019s Conservation Set-Aside Program","volume":"81","author":"Uchida","year":"2005","journal-title":"Land Econ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1126\/science.267.5201.1117","article-title":"Environmental and economic costs of soil erosion and conservation benefits","volume":"267","author":"Pimentel","year":"1995","journal-title":"Science"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1002\/ldr.454","article-title":"A mass balance approach to assess carbon dioxide evolution during erosional events","volume":"12","author":"Jacinthe","year":"2001","journal-title":"Land Degrad. Dev."},{"key":"ref_13","first-page":"1712","article-title":"Retrieval and analysis of vegetation cover in the Three-North Regions of China based on MODIS data","volume":"28","author":"Wu","year":"2009","journal-title":"Chin. J. Ecol."},{"key":"ref_14","first-page":"1976","article-title":"The Comparison Study on Forestry Ecological Projects in the World","volume":"22","author":"Dong","year":"2002","journal-title":"Acta Ecol. Sin."},{"key":"ref_15","unstructured":"Liang, S., Li, X., and Wang, J. (2012). Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Academic Press."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4787","DOI":"10.1109\/TGRS.2015.2409563","article-title":"Global Land Surface Fractional Vegetation Cover Estimation Using General Regression Neural Networks From MODIS Surface Reflectance","volume":"53","author":"Jia","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1109\/JSTARS.2014.2349007","article-title":"Fractional Forest Cover Changes in Northeast China From 1982 to 2011 and Its Relationship With Climatic Variations","volume":"8","author":"Jia","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Yang, L., Jia, K., Liang, S., Liu, J., and Wang, X. (2016). Comparison of Four Machine Learning Methods for Generating the GLASS Fractional Vegetation Cover Product from MODIS Data. Remote Sens., 8.","DOI":"10.3390\/rs8080682"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1016\/S2095-3119(15)61159-5","article-title":"Vegetation changes in the agricultural-pastoral areas of northern China from 2001 to 2013","volume":"15","author":"Su","year":"2016","journal-title":"J. Integr. Agric."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1007\/s12665-009-0281-4","article-title":"Vegetation change based on SPOT-VGT data from 1998 to 2007, northern China","volume":"60","author":"Liu","year":"2009","journal-title":"Environ. Earth Sci."},{"key":"ref_21","first-page":"1403","article-title":"Spatio-temporal Changes of NDVI and Climatic Factors of Grassland in Northern China from 2000 to 2012","volume":"35","author":"Zhang","year":"2015","journal-title":"J. Desert Res."},{"key":"ref_22","first-page":"112","article-title":"Fractional vegetation cover estimation in northern China and its change analysis","volume":"27","author":"Li","year":"2015","journal-title":"Remote Sens. Land Resour."},{"key":"ref_23","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_24","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1016\/j.foreco.2006.07.007","article-title":"Climatic control of primary forest structure and DBH\u2013height allometry in Northeast China","volume":"234","author":"Wang","year":"2006","journal-title":"For. Ecol. Manag."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.rse.2012.12.027","article-title":"GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production","volume":"137","author":"Baret","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Xiao, Z., Wang, T., Liang, S., and Sun, R. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. Remote Sens., 8.","DOI":"10.3390\/rs8040337"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.rse.2013.02.030","article-title":"GEOV1: LAI, FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part 2: Validation and intercomparison with reference products","volume":"137","author":"Camacho","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1109\/TGRS.2013.2237780","article-title":"Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance","volume":"52","author":"Xiao","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1533","DOI":"10.1080\/014311698215333","article-title":"The derivation of the green vegetation fraction from NOAA\/AVHRR data for use in numerical weather prediction models","volume":"19","author":"Gutman","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/S0168-1923(00)00195-7","article-title":"Spatial and temporal dynamics of vegetation in the San Pedro River basin area","volume":"105","author":"Qi","year":"2000","journal-title":"Agric. For. Meteorol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"245","DOI":"10.2307\/1907187","article-title":"Nonparametric Tests against Trend","volume":"13","author":"Mann","year":"1945","journal-title":"Econometrica"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Forthofer, R.N., and Lehnen, R.G. (1981). Rank Correlation Methods, Springer.","DOI":"10.1007\/978-1-4684-6683-6_9"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1016\/j.jaridenv.2011.05.007","article-title":"Changing climate affects vegetation growth in the arid region of the northwestern China","volume":"75","author":"Zhao","year":"2011","journal-title":"J. Arid Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/s11269-010-9689-6","article-title":"Changes of Pan Evaporation in the West of Iran","volume":"25","author":"Tabari","year":"2010","journal-title":"Water Resour. Manag."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.jhydrol.2008.11.024","article-title":"Exact distribution of the Mann\u2013Kendall trend test statistic for persistent data","volume":"365","author":"Hamed","year":"2009","journal-title":"J. Hydrol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/s00704-005-0161-0","article-title":"Climatic changes in Estonia during the second half of the 20th century in relationship with changes in large-scale atmospheric circulation","volume":"83","author":"Jaagus","year":"2005","journal-title":"Theor. Appl. Climatol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1080\/01621459.1968.10480934","article-title":"Estimates of the Regression Coefficient Based on Kendall\u2019s Tau","volume":"63","author":"Sen","year":"1968","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.gloplacha.2011.07.008","article-title":"Analysis of trends in temperature data in arid and semi-arid regions of Iran","volume":"79","author":"Tabari","year":"2011","journal-title":"Glob. Planet. Chang."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Brown, R., Derksen, C., and Wang, L. (2010). A multi-data set analysis of variability and change in Arctic spring snow cover extent, 1967\u20132008. J. Geophys. Res., 115.","DOI":"10.1029\/2010JD013975"},{"key":"ref_40","first-page":"32","article-title":"Features of Weather\/Climate over China in 2001","volume":"29","author":"Lu","year":"2002","journal-title":"Meteorol. Mon."},{"key":"ref_41","first-page":"322","article-title":"Some Extreme Events of Weather, Climate and Related Phenomena in 2009","volume":"15","author":"Chen","year":"2010","journal-title":"Clim. Environ. Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/4\/549\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:59:30Z","timestamp":1760194770000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/4\/549"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,3]]},"references-count":41,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2018,4]]}},"alternative-id":["rs10040549"],"URL":"https:\/\/doi.org\/10.3390\/rs10040549","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,4,3]]}}}