Arid
DOI10.3390/rs6109316
Spatio-Temporal Dynamics of Land-Use and Land-Cover in the Mu Us Sandy Land, China, Using the Change Vector Analysis Technique
Karnieli, Arnon1; Qin, Zhihao2; Wu, Bo3; Panov, Natalya1; Yan, Feng3
通讯作者Karnieli, Arnon
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2014
卷号6期号:10页码:9316-9339
英文摘要

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.


英文关键词change vector analysis Landsat desertification sandification land-use land-cover change NDVI albedo Mu Us Sandy Land China
类型Article
语种英语
国家Israel ; Peoples R China
收录类别SCI-E
WOS记录号WOS:000344458000009
WOS关键词NORTH-WESTERN CHINA ; MULTITEMPORAL SPACE ; VEGETATION COVER ; TASSELLED CAP ; DESERTIFICATION ; TM ; FOREST ; YULIN ; TRANSFORMATION ; DESERT
WOS类目Remote Sensing
WOS研究方向Remote Sensing
来源机构Ben-Gurion University of the Negev
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/184689
作者单位1.Ben Gurion Univ Negev, Jacob Blaustein Inst Desert Res, Remote Sensing Lab, IL-84990 Midreshet Ben Gurion, Israel;
2.Chinese Acad Agr Sci, Inst Agroresources & Reg Planning, Beijing 100081, Peoples R China;
3.Chinese Acad Forestry, Inst Desertificat Studies, Beijing 100091, Peoples R China
推荐引用方式
GB/T 7714
Karnieli, Arnon,Qin, Zhihao,Wu, Bo,et al. Spatio-Temporal Dynamics of Land-Use and Land-Cover in the Mu Us Sandy Land, China, Using the Change Vector Analysis Technique[J]. Ben-Gurion University of the Negev,2014,6(10):9316-9339.
APA Karnieli, Arnon,Qin, Zhihao,Wu, Bo,Panov, Natalya,&Yan, Feng.(2014).Spatio-Temporal Dynamics of Land-Use and Land-Cover in the Mu Us Sandy Land, China, Using the Change Vector Analysis Technique.REMOTE SENSING,6(10),9316-9339.
MLA Karnieli, Arnon,et al."Spatio-Temporal Dynamics of Land-Use and Land-Cover in the Mu Us Sandy Land, China, Using the Change Vector Analysis Technique".REMOTE SENSING 6.10(2014):9316-9339.
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