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遥感技术获取耕地质量评价指标的研究进展分析

Research Progress on Obtaining Cultivated Land Quality Evaluation Indexes by Remote Sensing

  • 摘要: 耕地质量指标数据获取是耕地质量评价的基础,遥感为相关数据的快速、大面积获取提供了一种新的手段与方法。本文首先分析了耕地质量内涵和功能,在此基础上利用文献计量法对我国近5年耕地质量评价指标研究进行归纳,结合国外土壤质量的研究现状,提出了基于遥感技术的耕地质量评价指标体系,包括地形条件、土壤属性和田间利用状况3个维度。然后分析了不同维度各指标获取方法的研究现状,概述了目前常用的遥感数据分析方法及对应的技术原理,遥感可有效获取田面坡度、田块状况、田间道路通达度、林网化程度等指标计算所需的基础数据,土壤属性的大尺度获取方法还需进一步研究。最后针对遥感技术获取耕地质量评价指标亟待解决的问题,提出了建议与展望:挖掘耕地质量评价指标的不同尺度遥感特征;加强耕地质量评价指标遥感信息的自动化提取研究;建设耕地质量评价的遥感大数据平台,促进遥感技术在耕地质量评价中的应用。

     

    Abstract: The data acquisition of cultivated land quality index(CLQI) is the basis of cultivated land quality(CLQ) evaluation. Remote sensing(RS) provides a new method for rapid and large-scale monitoring of CLQ data. Firstly, the connotation and function of CLQ were analyzed. On this basis, bibliometric method was used to summarize the research of CLQI in recent five years. Combined with the research status of CLQ and soil quality, CLQI system was established based on RS, which was divided into three dimensions: topographic conditions, soil properties and field utilization status. Secondly, the research status of various index acquisition methods in different dimensions was analyzed, and the commonly used RS analysis methods and corresponding technical principles were summarized. The basic data can be effectively obtained for field slope, field condition, field road accessibility, forest network degree and other indicators, and the large-scale acquisition method of soil properties were needed further research. Finally, aiming at the problems to be solved in RS monitoring of CLQ, the following suggestions and prospects were put forward: mining the remote sensing characteristics of different scales of CLQI; strengthening the research on automatic extraction of remote sensing information of CLQI; and building a remote sensing big data platform for CLQ evaluation, so as to promote the application of RS in CLQ evaluation.

     

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