Spatio-Temporal Dynamics of Land-Use and Land-Cover in the Mu Us Sandy Land, China, Using the Change Vector Analysis Technique

文献类型： 外文期刊

第一作者： Karnieli, Arnon

作者： Karnieli, Arnon;Panov, Natalya;Qin, Zhihao;Wu, Bo;Yan, Feng

作者机构：

关键词： change vector analysis;Landsat;desertification;sandification;land-use land-cover change;NDVI;albedo;Mu Us Sandy Land;China

期刊名称：REMOTE SENSING （ 影响因子：4.848； 五年影响因子：5.353 ）

ISSN： 2072-4292

年卷期： 2014 年 6 卷 10 期

页码：

收录情况： SCI

摘要： The spatial extent of desertified vs. rehabilitated areas in the Mu Us Sandy Land, China, was explored. The area is characterized by complex landscape changes that were caused by different drivers, either natural or anthropogenic, interacting with each other, and resulting in multiple consequences. Two biophysical variables, NDVI, positively correlated with vegetation cover, and albedo, positively correlated with cover of exposed sands, were computed from a time series of merged NOAA-AVHRR and MODIS images (1981 to 2010). Generally, throughout the study period, NDVI increased and albedo decreased. Improved understanding of spatial and temporal dynamics of these environmental processes was achieved by using the Change Vector Analysis (CVA) technique applied to NDVI and albedo data extracted from four sets of consecutive Landsat images, several years apart. Changes were detected for each time step, as well as over the entire period (1978 to 2007). Four categories of land cover were created-vegetation, exposed sands, water bodies and wetlands. The CVA's direction and magnitude enable detecting and quantifying finer changes compared to separate NDVI or albedo difference/ratio images and result in pixel-based maps of the change. Each of the four categories has a biophysical meaning that was validated in selected hot-spots, employing very high spatial resolution images (e. g., Ikonos). Selection of images, taking into account inter and intra annual variability of rainfall, enables differentiating between short-term conservancies (e. g., drought) and long-term alterations. NDVI and albedo, although comparable to tasseled cap's brightness and greenness indices, have the advantage of being computed using reflectance values extracted from various Landsat platforms since the early 1970s. It is shown that, over the entire study period, the majority of the Mu Us Sandy Land area remained unchanged. Part of the area (6%), mainly in the east, was under human-induced rehabilitation processes, in terms of increasing vegetation cover. In other areas (5.1%), bare sands were found to expand to the central-north and the southwest of the area.

分类号：

  • 相关文献

[1]A spatial system dynamic model for regional desertification simulation - A case study of Ordos, China. Xu, Duanyang,Ren, Hongyan,Hu, Yunfeng,Shao, Quanqin,Song, Alin,Tong, Hefeng. 2016

[2]Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods. Dronova, Iryna,Gong, Peng,Gong, Peng,Wang, Lin,Fu, Wei,Gong, Peng,Wang, Lin,Fu, Wei,Gong, Peng,Clinton, Nicholas E.,Wang, Lin,Qi, Shuhua,Liu, Ying.

[3]Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China. Ren, Jianqiang,Chen, Zhongxin,Zhou, Qingbo,Tang, Huajun,Ren, Jianqiang,Chen, Zhongxin,Zhou, Qingbo,Tang, Huajun. 2008

[4]Land surface phenology of China's temperate ecosystems over 1999-2013: Spatial-temporal patterns, interaction effects, covariation with climate and implications for productivity. Wu, Chaoyang,Peng, Dailiang,Xu, Shiguang,Hou, Xuehui,Gonsamo, Alemu,Gonsamo, Alemu.

[5]Study on the structure of topsoil aggregates for Mu Us sandy land in China. Li, Z. H.,Zhang, Q. H.,Tian, H. W.,Xie, Y. H.. 2016

[6]Calculation of albedo on complex terrain using MODIS data: a case study in Taihang Mountain of China. Li, Hongjun,Shen, Yanjun,Lei, Yuping,Yang, Pingguo,Zhao, Wenguang,Allen, Richard G.,Shao, Hongbo,Shao, Hongbo. 2015

[7]Albedo indicating land degradation around the Badain Jaran Desert for better land resources utilization. Liu, Fengshan,Chen, Ying,Lu, Haiying,Shao, Hongbo,Liu, Fengshan,Chen, Ying.

[8]Integration of remote sensing and GIS technology to evaluate grassland ecosystem health in north China. Qin, ZH,Xu, B,Xin, XP,Zhou, QB,Zhang, HO,Li, J. 2004

[9]The status quo of desertification and the prevention strategy in Xinjiang. Chen, Fangmiao,Liu, Ying,Hu, Yuegao,Shahrajabian, Mohamad Hesam,Xie, Jiali,Zheng, Wei,Lu, Tian Ping,Zhao, Qibo. 2013

[10]Arbuscular Mycorrhizal Fungi Can Accelerate the Restoration of Degraded Spring Grassland in Central Asia. Zhang, Tao,Shi, Zhaoyong,Feng, Gu,Sun, Yu. 2012

[11]Methods and applications for ecological vulnerability evaluation in a hyper-arid oasis: a case study of the Turpan Oasis, China. Pei, Huan,Wang, Xiaoyan,Fang, Shifeng,Fang, Shifeng,Lin, Lu,Qin, Zhihao. 2015

[12]DEVELOPING A DESERTIFICATION ASSESSMENT SYSTEM USING A PHOTOSYNTHESIS MODEL WITH ASIMILLATED MULTI SATELLITE DATA. Kaneko, D.,Yang, P.,Kumakura, T.,Yang, P.,Chang, N. B.. 2010

[13]Mapping vegetation cover of grassland ecosystem for desertification monitoring in Hulun Buir of Inner Mongolia, China. Qin, Zhihao,Li, Wenjuan,Xu, Bin,Qin, Zhihao,Zhu, Yuxia. 2008

[14]Monitoring Thermal Pollution in Rivers Downstream of Dams with Landsat ETM plus Thermal Infrared Images. Ling, Feng,Ban, Xuan,Li, Xiaodong,Zhang, Yihang,Du, Yun,Foody, Giles M.,Du, Hao. 2017

[15]Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression. Li Cun-jun,Wang Ji-hua,Wang Qian,Wang Da-cheng,Song Xiao-yu,Wang Yan,Huang Wen-jiang,Li Cun-jun,Wang Ji-hua,Huang Wen-jiang. 2012

[16]Monitoring and Evaluation of Grassland Desertification in Litang County Using Multi-temporal Remote Sensing Images. Dan Shang-ming,Xu Hui-xi,Dan Bo,He Fei,Shi Cheng-cang,Ren Guo-ye. 2009

[17]Wheat Grain Protein Content Estimation Based on Multi-temporal Remote Sensing Data and Generalized Regression Neural Network. Li, Cunjun,Wang, Qian,Wang, Jihua,Wang, Yan,Yang, Xiaodong,Song, Xiaoyu,Huang, Wenjiang. 2012

[18]Quantifying annual changes in built-up area in complex urban-rural landscapes from analyses of PALSAR and Landsat images. Qin, Yuanwei,Xiao, Xiangming,Dong, Jinwei,Zhang, Geli,Zhang, Yao,Wang, Jie,Wu, Xiaocui,Xiao, Xiangming,Chen, Bangqian,Chen, Bangqian,Liu, Fang.

[19]Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery. Dong, Jinwei,Xiao, Xiangming,Jin, Cui,Biradar, Chandrashekhar,Dong, Jinwei,Xiao, Xiangming,Jin, Cui,Biradar, Chandrashekhar,Chen, Bangqian,Torbick, Nathan,Zhang, Geli.

[20]Genetic differentiation in seven geographic populations of the fleshy shrimp Penaeus (Fenneropenaeus) chinensis based on microsatellite DNA. Meng, Xian Hong,Wang, Qing Yin,Liu, Ping,Kong, Jie,Meng, Xian Hong,Jang, In Kwon.

作者其他论文 更多>>

微信小程序