Explicitly Identifying the Desertification Change in CMREC Area Based on Multisource Remote Data
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Zemeng Fan | Haiyan Fang | Saibo Li | H. Fang | Z. Fan | Saibo Li
[1] Shijie Wang,et al. Assessing spatial-temporal evolution processes and driving forces of karst rocky desertification , 2019, Geocarto International.
[2] Yang Hu,et al. Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine , 2019, Remote. Sens..
[3] Xunming Wang,et al. Roles of climate changes and human interventions in land degradation: a case study by net primary productivity analysis in China’s Shiyanghe Basin , 2011 .
[4] Royston Goodacre,et al. A comparison of different chemometrics approaches for the robust classification of electronic nose data , 2014, Analytical and Bioanalytical Chemistry.
[5] A. Kurban,et al. Monitoring the long-term desertification process and assessing the relative roles of its drivers in Central Asia , 2019, Ecological Indicators.
[6] Roland Geerken,et al. Assessment of rangeland degradation and development of a strategy for rehabilitation , 2004 .
[7] Troy Sternberg,et al. Contraction of the Gobi Desert, 2000-2012 , 2015, Remote. Sens..
[8] Sam Drake,et al. Desertification processes due to heavy grazing in sandy rangeland, Inner Mongolia , 2005 .
[9] Maosheng Zhao,et al. Improvements of the MODIS terrestrial gross and net primary production global data set , 2005 .
[10] Cristina Noyola-Medrano,et al. Assessing the progress of desertification of the southern edge of Chihuahuan Desert: A case study of San Luis Potosi Plateau , 2017, Journal of Geographical Sciences.
[11] R. Reid,et al. Opportunities to integrate herders’ indicators into formal rangeland monitoring: an example from Mongolia , 2019, Ecological applications : a publication of the Ecological Society of America.
[12] David J. Ganz,et al. Historical and Operational Monitoring of Surface Sediments in the Lower Mekong Basin Using Landsat and Google Earth Engine Cloud Computing , 2018, Remote. Sens..
[13] Michael L. Roderick,et al. The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia , 2003 .
[14] Xiangqian Wang,et al. The Construction and Application of an Aledo-NDVI Based Desertification Monitoring Model , 2011 .
[15] Qiang Guo,et al. Satellite Monitoring the Spatial-Temporal Dynamics of Desertification in Response to Climate Change and Human Activities across the Ordos Plateau, China , 2017, Remote. Sens..
[16] Stephen D. Prince,et al. Mapping land degradation by comparison of vegetation production to spatially derived estimates of potential production , 2008 .
[17] B. Gao. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .
[18] Jianping Huang,et al. Accelerated dryland expansion under climate change , 2016 .
[19] D. A. Gagliardini,et al. Status of desertification in the Patagonian region: Assessment and mapping from satellite imagery , 1998 .
[20] Y. Lian,et al. Rocky desertification in Southwest China: Impacts, causes, and restoration , 2014 .
[21] Miquel de Cáceres,et al. Estimating daily meteorological data and downscaling climate models over landscapes , 2018, Environ. Model. Softw..
[22] Emilio Chuvieco,et al. Satellite remote sensing analysis to monitor desertification processes in the crop-rangeland boundary of Argentina , 2002 .
[23] Uwe Soergel,et al. Relevance assessment of full-waveform lidar data for urban area classification , 2011 .
[24] Chunlai Zhang,et al. Quantitative assessment of the relative roles of climate change and human activities in desertification processes on the Qinghai-Tibet Plateau based on net primary productivity , 2016 .
[25] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[26] Ryan N. Engstrom,et al. Land Cover Change in the Lower Yenisei River Using Dense Stacking of Landsat Imagery in Google Earth Engine , 2018, Remote. Sens..
[27] Li Baoguo,et al. Agricultural causes of desertification risk in Minqin, China. , 2006, Journal of environmental management.
[28] C. Tucker,et al. Expansion and Contraction of the Sahara Desert from 1980 to 1990 , 1991, Science.
[29] D. Zhuang,et al. Multi-scale quantitative assessment of the relative roles of climate change and human activities in desertification – A case study of the Ordos Plateau, China , 2010 .
[30] Arnon Karnieli,et al. Do vegetation indices provide a reliable indication of vegetation degradation? A case study in the Mongolian pastures , 2013 .
[31] T. Yue,et al. Scenarios of land cover in Eurasia under climate change , 2020, Journal of Geographical Sciences.
[32] T. Downing,et al. Global Desertification: Building a Science for Dryland Development , 2007, Science.
[33] D. Roberts,et al. Deriving Water Content of Chaparral Vegetation from AVIRIS Data , 2000 .
[34] Mariam Akhtar-Schuster,et al. Land degradation neutrality: The science-policy interface from the UNCCD to national implementation , 2019, Environmental Science & Policy.
[35] Shengzhi Shao,et al. Predictive geographical authentication of green tea with protected designation of origin using a random forest model , 2020 .
[36] Lianwu Xie,et al. Evaluation of soil fertility in the succession of karst rocky desertification using principal component analysis , 2014 .
[37] Matthew F. McCabe,et al. Effects of spatial aggregation on the multi-scale estimation of evapotranspiration , 2013 .
[38] Huanjun Liu,et al. Detecting and Assessing Nondominant Farmland Area with Long-Term MODIS Time Series Images , 2020, Remote. Sens..
[39] T. Yue,et al. Land-cover changes of biome transition zones in Loess Plateau of China , 2013 .
[40] J. Tollefson,et al. Earth summit: Rio report card , 2012, Nature.
[41] Yaning Chen,et al. The Natural Vegetation Responses to the Groundwater Change Resulting from Ecological Water Conveyances to the Lower Tarim River , 2007, Environmental monitoring and assessment.
[42] Mojtaba Saboori,et al. Combining multi-scale textural features from the panchromatic bands of high spatial resolution images with ANN and MLC classification algorithms to extract urban land uses , 2019, International Journal of Remote Sensing.
[43] Zengxiang Zhang,et al. Spatial patterns and driving forces of land use change in China during the early 21st century , 2010 .
[44] Carlos Alberto Mastachi-Loza,et al. Assessing desertification risk in the semi-arid highlands of central Mexico , 2015 .
[45] T. Yue,et al. Terrestrial ecosystem scenarios and their response to climate change in Eurasia , 2019, Science China Earth Sciences.
[46] Woo-Kyun Lee,et al. Assessment of land cover change and desertification using remote sensing technology in a local region of Mongolia , 2016 .
[47] A. Huete,et al. A Modified Soil Adjusted Vegetation Index , 1994 .
[48] Tao Wang,et al. Study of spatial distribution of sandy desertification in North China in recent 10 years , 2004 .
[49] X. Xue,et al. Dynamics of aeolian desertification and its driving forces in the Horqin Sandy Land, Northern China , 2014, Environmental Monitoring and Assessment.
[50] T. McMahon,et al. Updated world map of the Köppen-Geiger climate classification , 2007 .
[51] Duanyang Xu,et al. The dynamics of desertification in the farming-pastoral region of North China over the past 10 years and their relationship to climate change and human activity , 2014 .
[52] Jinghu Pan,et al. Extracting desertification from Landsat TM imagery based on spectral mixture analysis and Albedo-Vegetation feature space , 2013, Natural Hazards.
[53] Jinwei Dong,et al. Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine. , 2016, Remote sensing of environment.
[54] Pamela A. Matson,et al. HUMAN APPROPRIATION OF THE PRODUCTS OF PHOTOSYNTHESIS , 1986 .
[55] Wei Zhou,et al. Quantitative assessment of the individual contribution of climate and human factors to desertification in northwest China using net primary productivity as an indicator , 2015 .
[56] Dirk Pflugmacher,et al. Mapping the timing of cropland abandonment and recultivation in northern Kazakhstan using annual Landsat time series , 2018 .
[57] T. Yue,et al. Scenarios of land cover in Karst area of Southwestern China , 2015, Environmental Earth Sciences.
[58] J. Evans,et al. Discrimination between climate and human-induced dryland degradation. , 2004 .
[59] Xunming Wang,et al. Spatial differences of aeolian desertification responses to climate in arid Asia , 2017 .
[60] Hongqi Zhang,et al. Object‐Based Mapping of Karst Rocky Desertification using a Support Vector Machine , 2015 .