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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
引用本文:张超,高璐璐,郧文聚,李俐,纪文君,马佳妮. 遥感技术获取耕地质量评价指标的研究进展分析[J]. 农业机械学报, 2022, 53(1): 1-13. DOI: 10.6041/j.issn.1000-1298.2022.01.001
作者姓名:张超  高璐璐  郧文聚  李俐  纪文君  马佳妮
作者单位:中国农业大学土地科学与技术学院,北京100083;自然资源部农用地质量与监控重点实验室,北京100083;中国农业大学土地科学与技术学院,北京100083;自然资源部农用地质量与监控重点实验室,北京100083;自然资源部国土整治中心,北京100035
基金项目:国家重点研发计划项目(2021YFD1500202)
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...

关 键 词:耕地质量  土壤  遥感  评价指标  地形条件  田间利用状况
收稿时间:2021-08-12

Research Progress on Obtaining Cultivated Land Quality Evaluation Indexes by Remote Sensing
ZHANG Chao,GAO Lulu,YUN Wenju,LI Li,JI Wenjun,MA Jiani. Research Progress on Obtaining Cultivated Land Quality Evaluation Indexes by Remote Sensing[J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(1): 1-13. DOI: 10.6041/j.issn.1000-1298.2022.01.001
Authors:ZHANG Chao  GAO Lulu  YUN Wenju  LI Li  JI Wenjun  MA Jiani
Affiliation:China Agricultural University;Land Consolidation and Rehabilitation Center, Ministry of Natural Resources
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.
Keywords:cultivated land quality  soil  remote sensing  evaluation index  topographic condition  field utilization status
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