一个用于自动生成土壤肥力图的ArcGIS Python工具箱

Q3 Social Sciences
Ranga Rao Velamala, P. K. Pant
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引用次数: 0

摘要

SFMToolbox是在ArcGIS Desktop(ArcMap)中开发的ArcGIS Python工具箱,用于执行自动创建土壤肥力参数图的预处理任务。通过SFMToolbox,用户可以一次性自动生成12个土壤肥力参数图。它易于使用,用户只能提供输入;输出文件是根据采样点的名称自动创建的,并保存在定义的工作空间中。在工具的执行过程中,各种过程,如反向距离加权(IDW),这是一种插值、重新分类、添加颜色、合并、投影、面积计算和图例的技术,将同时为所有12个参数自动完成。SFM工具箱作为以下案例研究的一部分进行了验证:村庄–Kashipur、县–Balrampur、区–Balrambur、邦–北方邦、国家–印度。结果表明,用户可以快速生成地图,节省时间,提高准确性,减少人为干预,确保地图之间的一致性。该工具箱还应用于印度政府土壤健康卡(SHC)计划的第二周期数据,并及时以统一格式为630个地区绘制了12个参数的土壤养分图。公共和私营组织可利用该工具箱及时就农业和环境问题作出决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SFMToolbox: an ArcGIS Python Toolbox for Automatic Production of Maps of Soil Fertility
SFMToolbox is an ArcGIS Python toolbox developed in ArcGIS Desktop (ArcMap) to perform preprocessing tasks for the automatic creation of maps of soil fertility parameters. Through SFMToolbox, users can automatically produce 12 soil fertility parameter maps as a batch at one time. It is easy to use, where users can only provide input; the output files are automatically created from the name of the sample point and saved in the defined workspace. During the execution of the tools, various processes, such as Inverse Distance Weighted (IDW) – a technique of interpolation, reclassification, adding color, merging, projection, area calculation, and legend are done automatically for all12 parameters at the same time. The SFMToolbox was validated as part of the following case study: village – Kashipur, tehsil – Balrampur, district – Balrampur, state – Uttar Pradesh, Country – India. The results show that the user can quickly generate maps and save time, improve accuracy, and reduce human intervention and ensure uniformity among maps. This toolbox also applied to Cycle II data from the Government of India’s Soil Health Card (SHC) scheme and timely produced 12-parameters soil nutrient maps for 630 districts in a uniform format. The toolbox may be used by public and private organizations to make timely decisions on agricultural and environmental issues.
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来源期刊
Geomatics and Environmental Engineering
Geomatics and Environmental Engineering Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
2.30
自引率
0.00%
发文量
27
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