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首页> 外文期刊>Journal of Remote Sensing & GIS >GIS and RS Based Spatio-Temporal Analysis of Soil Moisture/Water Content Variation in Southern Irrigated Part of Sindh, Pakistan
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GIS and RS Based Spatio-Temporal Analysis of Soil Moisture/Water Content Variation in Southern Irrigated Part of Sindh, Pakistan

机译：基于GIS和RS的巴基斯坦信德河南部灌区土壤水分/水分变化的时空分析。

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摘要

Throughout history, earth's climate has changed like the rise in average temperature of the Earth's climate and global sea level rise leading to storms, flooding, drought and other extreme and disastrous events. Remote sensing and GIS has this potential to determine the soil moisture status over large areas and a longer span of time using satellite images and different indices like moisture stress index, soil moisture index or normalized difference water index with respect to the changing climatic conditions like temperature and precipitation. All of which, convey different information but when interpreted and analyzed appropriately can be used to determine the soil moisture status of the specified area. The study investigates the moisture stress along with moisture variability from the year 1991 to 2002 on the southern part of Pakistan, Sindh to determine the spatial and temporal changes. Resulting products basically show the spatial distribution of moisture content over the study area and also it could be really efficient to predict the moisture percentage for the areas where in-situ measurements are not available.
机译：纵观整个历史，地球的气候发生了变化，例如地球气候的平均温度升高和全球海平面升高导致了暴风雨，洪水，干旱和其他极端灾难性事件。遥感和GIS有潜力利用卫星图像和相对于气候变化的气候条件（如温度）的不同指标（如湿度应力指标，土壤湿度指标或归一化差水指标）来确定大面积和较长时间范围内的土壤水分状况。和降水。所有这些都传达了不同的信息，但是经过适当的解释和分析后，可以用来确定指定区域的土壤湿度状态。该研究调查了巴基斯坦南部信德省（Sindh）1991年至2002年的水分胁迫以及水分变化，以确定时空变化。所得产品基本上显示了研究区域内水分含量的空间分布，并且对于无法进行现场测量的区域，预测水分含量可能非常有效。

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