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首页> 外文期刊>Journal of geographical sciences >A knowledge base model for evaluation of bio-physical tendency of dryland
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A knowledge base model for evaluation of bio-physical tendency of dryland

机译：旱地生物物理趋势评价知识库模型

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摘要

The present study aims the evaluation of bio-physical characteristics towards soil-water-vegetation stress and a rule is envisaged to assess the degree of temporal changes. The digital rule for assessment is initialized through the index of land Instability (ILI) where the variance indicates the temporal instability of the pixel i.e., smallest land unit. It is assumed that the biophysical characteristic of land is in command of land-dynamics where there is no change in Land Use/Land Cover (LU&LC). The intensity map on tendency of albedo (IALB) assesses the intensity of soil erosion and water stress whereas intensity map on tendency of NDVI (INDVI) appraises the stress on vegetation. The carry-out study covers a part of semiarid Western India. Primarily remote sensing technique, which carries the digital information of land temporally and spatially, is adopted in this paper. A part of the study area is represented using two sets of IRS 1A/1B LISS-I data of March with a decadal time domain (1989-1998) as a test area. It is assumed that the soil-water-vegetation stress is maximum during summer (March-April-May) in any tropical belt and decadal data will stretch the possibility of climate as well as man-made activity over the land.
机译：本研究旨在评估针对土壤-水-植物胁迫的生物物理特性，并设想了一条规则来评估时间变化的程度。用于评估的数字规则通过陆地不稳定性指数（ILI）初始化，其中方差表示像素的时间不稳定性，即最小陆地单位。假定土地的生物物理特性掌握着土地动力学，而土地利用/土地覆盖率（LU＆LC）没有变化。反照强度趋势图（IALB）评估土壤侵蚀和水分胁迫的强度，而NDVI趋势强度图（INDVI）评估植被的压力。进行的研究覆盖了半干旱印度西部的一部分。本文主要采用遥感技术，该技术在时间和空间上都承载着土地的数字信息。研究区域的一部分以两组IRS 1A / 1B LISS-I数据作为代表，该数据以十年时域（1989-1998）作为测试区域。假定在任何热带带，夏季（3月至4月至5月）的土壤-水-植物应力最大，而年代际数据将扩大气候以及人为活动在陆地上的可能性。

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