乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T10:12:27Z","timestamp":1742379147071,"version":"3.37.3"},"reference-count":58,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T00:00:00Z","timestamp":1556496000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"Grassland ecosystems in China have experienced degradation caused by natural processes and human activities. Time series segmentation and residual trend analysis (TSS-RESTREND) was applied to grasslands in eastern China. TSS-RESTREND is an extended version of the residual trend (RESTREND) methodology. It considers breakpoint detection to identify pixels with abrupt ecosystem changes which violate the assumptions of RESTREND. With TSS-RESTREND, in Xilingol (111\u00b059\u2032\u2013120\u00b000\u2032E and 42\u00b032\u2032\u201346\u00b041\u2032E) and Hulunbuir (115\u00b030\u2032\u2013122\u00b0E and 47\u00b010\u2032\u201351\u00b023\u2032N) grassland, 6% and 3% of the area experienced a decrease in greenness between 1984 and 2009, 80% and 73% had no significant change, 5% and 3% increased in greenness, and 9% and 21% were undetermined, respectively. RESTREND may underestimate the greening trend in Xilingol, but both TSS-RESTREND and RESTREND revealed no significant differences in Hulunbuir. The proposed TSS-RESTREND methodology captured both the time and magnitude of vegetation changes.<\/jats:p>","DOI":"10.3390\/rs11091014","type":"journal-article","created":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T11:01:22Z","timestamp":1556535682000},"page":"1014","source":"Crossref","is-referenced-by-count":31,"title":["Detecting Land Degradation in Eastern China Grasslands with Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) and GIMMS NDVI3g Data"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5851-6374","authenticated-orcid":false,"given":"Caixia","family":"Liu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China"},{"name":"Bren School of Environmental Science and Management, University of California, Santa Barbara, CA 93106, USA"}]},{"given":"John","family":"Melack","sequence":"additional","affiliation":[{"name":"Bren School of Environmental Science and Management, University of California, Santa Barbara, CA 93106, USA"}]},{"given":"Ye","family":"Tian","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6253-8437","authenticated-orcid":false,"given":"Huabing","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China"}]},{"given":"Jinxiong","family":"Jiang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Space-Ground Integrated Information Technology, Beijing 100029, China"}]},{"given":"Xiao","family":"Fu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"}]},{"given":"Zhouai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shenhua Baorixile Energy Co., Ltd., Hulunbuir 021000, China"},{"name":"State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 100011, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.1007\/s10980-014-0092-1","article-title":"Effects of precipitation on grassland ecosystem restoration under grazing exclusion in Inner Mongolia, China","volume":"29","author":"Hao","year":"2014","journal-title":"Landsc. Ecol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"015202","DOI":"10.1088\/1748-9326\/7\/1\/015202","article-title":"Understanding the coupled natural and human systems in Dryland East Asia","volume":"7","author":"Qi","year":"2012","journal-title":"Environ. Res. Lett."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1258","DOI":"10.1111\/gcb.12777","article-title":"Quantifying drylands\u2019 drought resistance and recovery: The importance of drought intensity, dominant life history and grazing regime","volume":"21","author":"Ruppert","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.jaridenv.2015.01.007","article-title":"Mongolian rangelands at a tipping point? Biomass and cover are stable but composition shifts and richness declines after 20 years of grazing and increasing temperatures","volume":"115","author":"Khishigbayar","year":"2015","journal-title":"J. Arid Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"9552","DOI":"10.3390\/rs6109552","article-title":"Assessing land degradation and desertification using vegetation index data: Current frameworks and future directions","volume":"6","author":"Higginbottom","year":"2014","journal-title":"Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.jaridenv.2006.05.015","article-title":"Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa","volume":"68","author":"Wessels","year":"2007","journal-title":"J. Arid Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.rse.2012.06.022","article-title":"Limits to detectability of land degradation by trend analysis of vegetation index data","volume":"125","author":"Wessels","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.rse.2017.05.018","article-title":"Detecting dryland degradation using Time Series Segmentation and Residual Trend analysis (TSS-RESTREND)","volume":"197","author":"Burrell","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1007\/s10980-012-9751-2","article-title":"Distinguishing between human-induced and climate-driven vegetation changes: A critical application of RESTREND in inner Mongolia","volume":"27","author":"Li","year":"2012","journal-title":"Landsc. Ecol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.isprsjprs.2018.08.017","article-title":"The impact of dataset selection on land degradation assessment","volume":"146","author":"Burrell","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/S0140-1963(03)00121-6","article-title":"Discrimination between climate and human-induced dryland degradation","volume":"57","author":"Evans","year":"2004","journal-title":"J. Arid Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.rse.2016.03.036","article-title":"Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000\u20132014)","volume":"185","author":"Zhu","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.rse.2014.01.011","article-title":"Continuous change detection and classification of land cover using all available Landsat data","volume":"144","author":"Zhu","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.rse.2017.02.021","article-title":"Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine","volume":"202","author":"Huang","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1016\/j.rse.2017.11.017","article-title":"Large-scale detection of vegetation dynamics and their potential drivers using MODIS images and BFAST: A case study in Quebec, Canada","volume":"206","author":"Fang","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.rse.2017.11.015","article-title":"A LandTrendr multispectral ensemble for forest disturbance detection","volume":"205","author":"Cohen","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.rse.2019.02.010","article-title":"Towards improved remote sensing based monitoring of dryland ecosystem functioning using sequential linear regression slopes (SeRGS)","volume":"224","author":"Abel","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.rse.2009.08.014","article-title":"Detecting trend and seasonal changes in satellite image time series","volume":"114","author":"Verbesselt","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2970","DOI":"10.1016\/j.rse.2010.08.003","article-title":"Phenological change detection while accounting for abrupt and gradual trends in satellite image time series","volume":"114","author":"Verbesselt","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1599","DOI":"10.1007\/s10980-014-0095-y","article-title":"Satellite-indicated long-term vegetation changes and their drivers on the Mongolian Plateau","volume":"30","author":"Zhao","year":"2015","journal-title":"Landsc. Ecol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1016\/j.scitotenv.2017.10.253","article-title":"Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau","volume":"616","author":"Zhou","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.1007\/s10980-015-0151-2","article-title":"Long-term vegetation changes in the four mega-sandy lands in Inner Mongolia, China","volume":"30","author":"Zhou","year":"2015","journal-title":"Landsc. Ecol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1595","DOI":"10.1002\/ldr.2948","article-title":"Land-use change and land degradation on the Mongolian Plateau from 1975 to 2015\u2014A case study from Xilingol, China","volume":"29","author":"Nendel","year":"2018","journal-title":"Land Degrad. Dev."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1080\/01431161.2011.594102","article-title":"Monitoring vegetation dynamics by coupling linear trend analysis with change vector analysis: A case study in the Xilingol steppe in northern China","volume":"33","author":"Zhao","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1007\/s11069-015-1992-3","article-title":"Climate impact on vegetation and animal husbandry on the Mongolian plateau: A comparative analysis","volume":"80","author":"Miao","year":"2016","journal-title":"Nat. Hazards"},{"key":"ref_26","first-page":"5055","article-title":"The environmental and economic influence of coal-electricity integration exploitation in the Xilingol League","volume":"31","author":"Wu","year":"2011","journal-title":"Shengtai Xuebao\/Acta Ecologica Sinica"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1080\/13504509.2016.1273264","article-title":"Outlook of coal-fired power plant development and the regional ecosystem and environmental protection in China","volume":"24","author":"Wu","year":"2017","journal-title":"Int. J. Sustain. Dev. World Ecol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2281","DOI":"10.1073\/pnas.1411748112","article-title":"Rapid loss of lakes on the Mongolian Plateau","volume":"112","author":"Tao","year":"2015","journal-title":"Proc. Nat. Acad. Sci. USA"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1579","DOI":"10.1007\/s10980-015-0209-1","article-title":"Historical landscape dynamics of Inner Mongolia: Patterns, drivers, and impacts","volume":"30","author":"Wu","year":"2015","journal-title":"Landsc. Ecol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.rse.2018.05.002","article-title":"Grassland canopy cover and aboveground biomass in Mongolia and Inner Mongolia: Spatiotemporal estimates and controlling factors","volume":"213","author":"John","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_31","unstructured":"Hou, X. (2001). The Vegetation Atlas of China (1: 1000000), Science Press. (In Chinese)."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1016\/j.landusepol.2017.07.006","article-title":"Understanding grassland rental markets and their determinants in Eastern Inner Mongolia, PR China","volume":"67","author":"Tan","year":"2017","journal-title":"Land Use Policy"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"3364","DOI":"10.3390\/rs4113364","article-title":"How normalized difference vegetation index (ndvi) trendsfrom advanced very high resolution radiometer (AVHRR) and syst\u00e8me probatoire d\u2019observation de la terre vegetation (spot vgt) time series differ in agricultural areas: An inner mongolian case study","volume":"4","author":"Yin","year":"2012","journal-title":"Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3863","DOI":"10.3390\/rs70403863","article-title":"Future climate impact on the desertification in the dry land Asia using AVHRR GIMMS NDVI3g data","volume":"7","author":"Miao","year":"2015","journal-title":"Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"6929","DOI":"10.3390\/rs6086929","article-title":"A non-stationary 1981\u20132012 AVHRR NDVI3g time series","volume":"6","author":"Pinzon","year":"2014","journal-title":"Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2719","DOI":"10.1080\/01431160600567761","article-title":"Evaluation of AVHRR PAL and GIMMS 10-day composite NDVI time series products using SPOT-4 vegetation data for the African continent","volume":"27","author":"Fensholt","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1080\/02693799508902045","article-title":"Interpolating mean rainfall using thin plate smoothing splines","volume":"9","author":"Hutchinson","year":"1995","journal-title":"Int. J. Geogr. Inf. Syst."},{"key":"ref_38","unstructured":"Hutchinson, M. (2019, April 29). ANUSPLIN Version 4.3. Available online: http:\/\/fennerschool.anu.edu.au\/files\/anusplin44.pdf."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s11434-013-0045-0","article-title":"Monitoring dynamic changes of global land cover types: Fluctuations of major lakes in China every 8 days during 2000\u20132010","volume":"59","author":"Sun","year":"2013","journal-title":"Chin. Sci. Bull."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s10980-015-0261-x","article-title":"Differentiating anthropogenic modification and precipitation-driven change on vegetation productivity on the Mongolian Plateau","volume":"31","author":"John","year":"2016","journal-title":"Landsc. Ecol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.rse.2014.09.010","article-title":"Detecting changes in vegetation trends using time series segmentation","volume":"156","author":"Jamali","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.rse.2013.10.019","article-title":"Automated mapping of vegetation trends with polynomials using NDVI imagery over the Sahel","volume":"141","author":"Jamali","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.jaridenv.2015.07.013","article-title":"Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China","volume":"124","author":"Li","year":"2016","journal-title":"J. Arid Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1016\/j.ecolind.2015.09.041","article-title":"Multiple afforestation programs accelerate the greenness in the \u2018Three North\u2019region of China from 1982 to 2013","volume":"61","author":"Zhang","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_45","first-page":"591","article-title":"Tests of equality between sets of coefficients in two linear regressions","volume":"28","author":"Chow","year":"1960","journal-title":"Econom. J. Econ. Soc."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Fensholt, R., Horion, S., Tagesson, T., Ehammer, A., Grogan, K., Tian, F., Huber, S., Verbesselt, J., Prince, S.D., and Tucker, C.J. (2015). Assessing Drivers of Vegetation Changes in Drylands from Time Series of Earth Observation Data. Remote Sensing Time Series, Springer. Available online: https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-15967-6_9.","DOI":"10.1007\/978-3-319-15967-6_9"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1038\/386698a0","article-title":"Increased plant growth in the northern high latitudes from 1981 to 1991","volume":"386","author":"Myneni","year":"1997","journal-title":"Nature"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.rse.2014.08.023","article-title":"Effectiveness of the BFAST algorithm for detecting vegetation response patterns in a semi-arid region","volume":"154","author":"Watts","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1080","DOI":"10.1016\/j.scitotenv.2018.07.401","article-title":"Causal relationship in the interaction between land cover change and underlying surface climate in the grassland ecosystems in China","volume":"647","author":"Li","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Liu, Y.Y., Evans, J.P., McCabe, M.F., De Jeu, R.A., van Dijk, A.I., Dolman, A.J., and Saizen, I. (2013). Changing climate and overgrazing are decimating Mongolian steppes. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0057599"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.jaridenv.2009.09.024","article-title":"Using GIS spatial analysis and logistic regression to predict the probabilities of human-caused grassland fires","volume":"74","author":"Zhang","year":"2010","journal-title":"J. Arid Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1007\/s11442-018-1493-x","article-title":"Analyzing vegetation dynamic trend on the Mongolian Plateau based on the Hurst exponent and influencing factors from 1982\u20132013","volume":"28","author":"Tong","year":"2018","journal-title":"J. Geogr. Sci."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.ecoleng.2017.12.011","article-title":"Evaluation of semiarid grassland degradation in North China from multiple perspectives","volume":"112","author":"Han","year":"2018","journal-title":"Ecol. Eng."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.rse.2018.11.017","article-title":"Integration of multi-resource remotely sensed data and allometric models for forest aboveground biomass estimation in China","volume":"221","author":"Huang","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"918","DOI":"10.1016\/j.rse.2017.08.030","article-title":"Land use and land cover change in Inner Mongolia-understanding the effects of China\u2019s re-vegetation programs","volume":"204","author":"Yin","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1180","DOI":"10.1016\/j.scitotenv.2018.04.361","article-title":"Analysis of spatiotemporal land cover changes in Inner Mongolia using self-organizing map neural network and grid cells method","volume":"636","author":"Li","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Huang, J., Bai, Y., and Jiang, Y. (2009). Case study 3: Xilingol grassland, Inner Mongolia. Rangeland Degradation and Recovery in China\u2019s Pastoral Lands, CAB International.","DOI":"10.1079\/9781845934965.0120"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1016\/j.rse.2018.07.025","article-title":"Estimating the age and population structure of encroaching shrubs in arid\/semiarid grasslands using high spatial resolution remote sensing imagery","volume":"216","author":"Cao","year":"2018","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/9\/1014\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,17]],"date-time":"2024-06-17T10:20:35Z","timestamp":1718619635000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/9\/1014"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,29]]},"references-count":58,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2019,5]]}},"alternative-id":["rs11091014"],"URL":"https:\/\/doi.org\/10.3390\/rs11091014","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2019,4,29]]}}}