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Integration of remote sensing techniques for monitoring desertification in Mexico

机译：集成遥感技术以监测墨西哥的荒漠化

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摘要

Desertification is considered one of the most serious threats to arid, semiarid, and sub-humid environments. In this study, several remote sensing techniques were integrated for monitoring desertification in a semiarid region of the central Mexican plateau ( state of Queretaro). Landsat TM images were used to compute the Normalized Difference Vegetation Index ( NDVI), Bare-Soil Index ( BSI), and albedo ( alpha). A change vector analysis ( CVA) examined changes in the direction and magnitude of indicators during the 1993-2011 period in order to detect degradations or improvements in land conditions over a period of time. In addition, a desertification degree index ( DDI) was applied based on the NDVI-alpha relationship. The results indicated that in the semiarid zone of the state of Queretaro, 48.3% of land use corresponds with agricultural areas; 2.7% of the area does not present any degree of desertification, while 49% presents the following degrees of desertification: 5.5% extreme, 10.9% severe, 18.9% moderate, and 13.7% low. The DDI applied in this approach for evaluating this phenomenon at the regional and municipal level is an effective tool for identifying areas at risk of desertification, in addition to monitoring changes in the degree or direction of desertification.
机译：荒漠化被认为是对干旱，半干旱和半湿润环境的最严重威胁之一。在这项研究中，整合了几种遥感技术以监测墨西哥中部高原（克雷塔罗州）的半干旱地区的荒漠化。 Landsat TM图像用于计算归一化植被指数（NDVI），裸土指数（BSI）和反照率（alpha）。变化矢量分析（CVA）研究了1993-2011年期间指标的方向和幅度的变化，以便发现一段时间内土地条件的退化或改善。另外，基于NDVI-α关系应用了荒漠化程度指数（DDI）。结果表明，在克雷塔罗州的半干旱地区，土地利用的48.3％对应于农业地区；该地区的2.7％土地没有任何程度的荒漠化，而49％的土地却具有以下沙漠化程度：极端5.5％，严重10.9％，中等18.9％和低13.7％。除监测荒漠化程度或方向的变化外，用这种方法在区域和市政一级评估这种现象的直接数据输入是一种有效的工具，可用来确定有荒漠化危险的地区。

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