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

机译:基于变化矢量分析技术的中国毛乌素沙地土地利用和覆盖的时空动态

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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.
机译:探索了中国毛乌素沙地荒漠化地区与恢复地区的空间范围。该地区的特点是复杂的景观变化,这些变化是由自然或人为因素的不同驱动因素引起的,它们相互影响并导致多种后果。根据NOAA-AVHRR和MODIS影像合并后的时间序列(1981年至2010年),计算出两个生物物理变量NDVI与植被覆盖度呈正相关,而反照率与裸露的沙土覆盖度呈正相关。通常,在整个研究期间,NDVI增加而反照率减少。通过将变更矢量分析(CVA)技术应用于NDVI和从四套连续Landsat图像中相隔数年而提取的反照率数据,可以更好地理解这些环境过程的时空动态。在每个时间步长以及整个时期(1978年至2007年)均检测到变化。创建了四类土地覆被-植被,裸露的沙子,水体和湿地。与单独的NDVI或反照率差异/比率图像相比,CVA的方向和幅度可以检测和量化更精细的变化,并生成基于像素的变化图。四个类别中的每一个都有生物物理意义,该意义已在选定的热点中得到验证,并采用了非常高的空间分辨率图像(例如Ikonos)。选择图像时,要考虑到降雨之间和每年的内部变化,可以区分短期保护区(例如干旱)和长期改变。 NDVI和反照率虽然可以与流苏帽的亮度和绿色度指标相提并论,但其优势在于可以使用自1970年代初以来从各种Landsat平台提取的反射率值进行计算。结果表明,在整个研究期间,Mu Us Sandy Land地区的大部分地区保持不变。就增加植被覆盖而言,部分地区(6%)(主要在东部)处于人为改造过程中。在其他地区(5.1%),发现裸露的沙子扩展到该地区的中北部和西南部。

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