利用地理信息技术建立埃及Toshka西部土壤能力空间气候模型

Megahed Hassan, Elsherbiny A. Ali, M. Sakr
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引用次数: 0

摘要

土壤容量与土壤质量密切相关,直接影响到土壤生产力、环境因子、土地利用/土地覆盖和生物活性。土壤能力参数的监测将有助于简化和解释气候效应对超干旱条件的一些影响以及对这种困难的农业适应所需的响应。本文介绍了利用地理信息系统、GNSS和遥感技术“geomatics”对土壤空间数据集进行管理和更新,进而对土壤特征和分布进行空间气候监测。评估土地类型并确定存在土壤问题的退化地点,如盐碱地或其他生产能力。增加插值方法对研究区样本结果进行概化。在本研究中,建立了土壤承载力的空间-气候模型,基于;土壤的化学、物理和生物特性。空间模型的结果与研究区土地承载力和气候均具有相关性。尽管如此,该模型为决策者提供了类似条件下土壤能力分类的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building Spatial Climate Model for Soil Capability Using Geomatics, West of Toshka, Egypt
Soil capability always related to soil quality, which directly affect productivity, environmental factors, land use/land cover, and bio-activities. Monitoring of soil capability parameters will help to simplify and explain some impacts of climate effect on hyper arid condition and the responses required for such difficult agricultural adaptation. This paper presented using geographic information system, GNSS and remote sensing techniques “geomatics” to manage and update soil spatial datasets, furthermore, spatial-climate monitoring for soil characteristics and distribution. Assessing land types and identifying degraded spots with soil problems such as salty, alkaline or other productive capability. Adding an interpolation methods for generalizing samples results for study area. In the current research, a spatial-climate model for soil capability was built to evaluate soil capability based on; chemical, physical and biological soil characteristics. The results of the spatial model were correlated with both land capabilities and climate of the study area. Nonetheless, this model proposed for decision-makers tool for soil capability classification under similar conditions.
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