基于Landsat 8卫星图像盐度指数的埃及El-Sharqiyah省季节性土壤盐度检测

Mostafa H. A. Mohamed, Ahmed Abdallah Sayed Ahmed
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引用次数: 0

摘要

土壤盐碱化是导致土地退化的一个主要问题,特别是在干旱地区,它对土壤特性产生负面影响并降低农业生产力。遥感是探测和监测盐度随时间变化的重要工具。在本研究中,根据对埃及东北部El-Sharqiyah省土壤盐度的实地测量,进行了一项评估,以确定最具代表性的盐度指数。根据2015年、2018年和2021年3年间隔测量的土壤总溶解盐(TDS)数据,对该指数进行了验证。利用Landsat-8卫星图像计算归一化盐度指数(NDSI)。采用7个指标确定土壤盐度,其中相关性最好的指标是基于2015年的野外工作,并用于绘制研究区土壤盐度图。根据2018年和2021年的数据验证了2015年的最佳相关指数。最后,该方法提高了遥感对土壤盐分的敏感性和遥感指标对土壤盐分的预测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seasonal Soil Salinity Detection Using Salinity Indices from Landsat 8 Satellite Images in El-Sharqiyah Governorate, Egypt
Soil salinity is a major issue that causes land degradation, especially in arid regions which affects negatively on soil properties and reduces agricultural productivity. Remote sensing is an essential tool for detecting and monitoring salinity changes upon time. In this research an assessment was carried out to determine the best representative salinity index based on filed measurements of soil salinity in El-Sharqiyah governorate in the northeast of Egypt. The index was validated in accord with other field soil salinity data in term of total dissolved salts (TDS) measured through 3-years intervals in 2015, 2018 and 2021. Landsat-8 satellite images were used to calculate NDSI (Normalized Difference Salinity Index). Seven indices were used to determine soil salinity, where the best correlated index was based on 2015 field work and used to produce salinity map of the study area. The best correlated index on 2015 was validated upon data of 2018 and 2021. Finally, this approach led to the sensitivity of remote sensing to soil salinity and the ability of its indices for soil salinity predication.
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