Land degradation is one of the major threats faced globally, affecting arid and other dryland areas severely. In such areas, biomass productivity is a function of precipitation to a large extent. This paper discusses methodology developed to generate land productivity dynamics assessment map using vegetation precipitation relationship residuals as proxy parameter to land degradation using long-term time series of satellite-derived Normalised Vegetation Difference Index and climate model-based precipitation data. This developed methodology rationally utilises information retrieved from statistical methods as well as qualitative measures. Application of developed methodology indicates that 62.54% of total land area of Rajasthan state is showing symptoms of increasing land productivity as compared to 2.35% area of decreasing land productivity.

土地退化是全球面临的主要威胁之一，严重影响干旱和其他旱地地区。在这些地区，生物质生产力在很大程度上是降水的函数。本文讨论了使用植被降水关系残差作为土地退化的代理参数，使用卫星衍生的标准化植被差异指数和基于气候模型的降水数据的长期时间序列生成土地生产力动态评估图的方法。这种开发的方法合理地利用了从统计方法和定性措施中检索到的信息。已开发方法的应用表明，拉贾斯坦邦土地总面积的 62.54% 显示出土地生产力增加的症状，而土地生产力下降的面积为 2.35%。