利用地理信息技术评价土壤系列土地退化状况

Ahmed Musrhed, A. Khalaf, Mohamed Ferhan, I. Ortaş
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引用次数: 0

摘要

本研究旨在利用遥感数据评估提克里特北部农业项目部分土壤系列的土地退化状况。部分项目区(246,555平方公里)是根据土壤特征和农作物的变化选择的。研究区位于东经43˚12′30′~ 43˚27′30′′之间,北纬35˚15′00′~ 35˚0′00′n之间。项目区包括Hatra、Jareesh、Safa、Seneyah、Shurqat五大土系。从表层(0 ~ 30 cm)采集了覆盖5个土壤系列的44个土壤样品。测定了样品的化学性质,包括pH、电导率(EC)、碳酸钙含量、石膏含量、阳离子交换容量和有机质含量。利用两幅Landsat卫星图像计算土壤和植被光谱指数。这两张照片中的一张拍摄于2002年6月15日,另一张拍摄于2022年6月25日。研究的光谱指数包括3个植被指数(高级植被指数(AVI)、比叶面积植被指数(SLAVI)和结构不敏感色素指数(SIPI))和3个土壤光谱指数(裸土指数(BSI)、改良裸土指数(MBSI)和归一化差异裸土指数(NDBSI))。结果表明,在两个研究期间,各土壤和植被光谱指数的计算值存在差异,2022年的数值总体上低于2002年。结果表明,研究期间土壤发生退化,导致植物密度下降。这对研究区土壤的肥力和生产力产生了负面影响。土壤光谱反射率曲线也存在差异,特别是在水分吸收波长;1.4、1.9和2.2 μm,这是由于石膏在土壤中的高浓度存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Land Degradation Status of Soil Series Using Geomatics Techniques
This study aimed assessing the land degradation status of some soil series of the North Tikrit Agricultural Project using remote sensing data. Part of the project area (246,555) km2 was selected based on variations in soil characteristics and agricultural crops. The study area is located between the longitudes of 43˚ 12′ 30ʹʹ and 43˚ 27′ 30ʹʹ E and the latitudes of 35˚ 15′ 00ʹʹ  and 35˚ 0′ 00ʹʹ N. This project area includes five soil series: Hatra, Jareesh, Safa, Seneyah, and Shurqat. Forty-four soil samples covering these five soil series were collected from the surface layer (0-30 cm). The chemical properties of these samples were determined, including pH, Electric Conductivity (EC), calcium carbonate content, gypsum content, cation exchange capacity, and organic matter content. Two Landsat satellite images were employed for calculation of soil and vegetation spectral indices. One of these two images was acquired on 15 June, 2002 while the other was acquired on 25 June, 2022. The spectral indices of concern encircled three vegetation indices (Advanced Vegetation Index (AVI), Specific Leaf Area Vegetation Index (SLAVI), and Structure Insensitive Pigment Index (SIPI)) and three soil spectral indices (Bare Soil Index (BSI), Modified Bare Soil Index (MBSI), and Normalized Difference Bare Soil Index (NDBSI)). The results show that there are variations in the values of the various computed soil and vegetation spectral indices during the two study periods and that the values were, in general, lower in 2022 than in 2002. It was found that the soils were degraded and that, consequently, the plant density declined during the study period. This had negative impacts on the fertility and productivity of the soils in the study area. The results also showed differences in the soil spectral reflectivity curves, especially at the wavelengths of water absorption; 1.4, 1.9, and 2.2 μm, due to the presence of gypsum at high concentrations in the soils.
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