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PSR框架下的黑龙江省海伦市耕地质量评价
引用本文:王建华,陶培峰,袁月,李志忠,杨佳佳.PSR框架下的黑龙江省海伦市耕地质量评价[J].地质与资源,2020,29(6):525-532.
作者姓名:王建华  陶培峰  袁月  李志忠  杨佳佳
作者单位:1. 中国科学院 遥感与数字地球研究所, 北京 100094;2. 重庆市地理信息和遥感应用中心, 重庆 401147;3. 国际黑土地协会, 辽宁 沈阳 110034;4. 中国地质调查局 沈阳地质调查中心, 辽宁 沈阳 110034
基金项目:国际地学对比计划项目“全球黑土地关键带土地资源演化与可持续利用”(IGCP 665);中国地质调查局“兴凯湖平原及松辽平原西部土地质量地球化学调查”项目(DD20190520).
摘    要:为科学评价现有耕地质量水平,利用环境卫星、Landsat8遥感影像以及地球化学调查等数据,提取了土壤肥力、水分、重金属污染等多种指标信息,采用与土壤水含量相关性更强的TVDI代替传统的DVI方法,建立了基于压力-状态-响应模型(PSR)的土壤质量评价方法.运用层次分析法(AHP)为各评价指标赋予权重,结合专家评分与线性内插法实现评价因子的定量评价,最终将各评价因子进行空间权重叠加获得地块评价单元.评价结果表明:海伦市一级耕地占28.75%,二级耕地占71.17%,三级及以下耕地占0.08%,耕地质量总体较高.通过对不同等级耕地空间分布的结果分析,提出了针对性的耕地改良建议.

关 键 词:耕地质量评价  PSR  遥感  地球化学  海伦市  黑龙江省  
收稿时间:2020-08-27

PSR-BASED EVALUATION OF THE CULTIVATED LAND QUALITY IN HAILUN CITY OF HEILONGJIANG PROVINCE
WANG Jian-hua,TAO Pei-feng,YUAN Yue,LI Zhi-zhong,YANG Jia-jia.PSR-BASED EVALUATION OF THE CULTIVATED LAND QUALITY IN HAILUN CITY OF HEILONGJIANG PROVINCE[J].Geology and Resources,2020,29(6):525-532.
Authors:WANG Jian-hua  TAO Pei-feng  YUAN Yue  LI Zhi-zhong  YANG Jia-jia
Institution:1. Institute of Remote Sensing and Digital Earth, CAS, Beijing 100094, China;2. Chongqing Geographic Information and Remote Sensing Application Center, Chongqing 401147, China;3. International Black Land Association, Shenyang 110034, China;4. Shenyang Center of China Geological Survey, Shenyang 110034, China
Abstract:To scientifically evaluate the quality level of existing cultivated land in Hailun City, Heilongjiang Province, the environmental satellite image, Landsat8 remote sensing image and geochemical survey data are used to extract the information of soil fertility, water content, heavy metal pollution and other indexes. The temperature vegetation dryness index(TVDI) which has a stronger correlation with soil water content, replacing the traditional difference vegetation index(DVI), is applied to establish a soil quality evaluation method based on pressure-state-response (PSR) model. The analytic hierarchy process(AHP) is used to assign weights to each evaluation index, combined with expert scoring and linear interpolation, to realize the quantitative evaluation of evaluation factors and obtain the minimum evaluation units by spatial weight superposition of all evaluation factors. The results show that the first-grade cultivated land accounts for 28.75%, with 71.17% of second-grade, 0.08% of third-grade and below, and the quality of cultivated land is generally high in Hailun City. Finally, some suggestions for improving cultivated land are put forward by analyzing the spatial distribution of cultivated land of different grades.
Keywords:cultivated land quality evaluation  PSR  remote sensing  geochemistry  Hailun City  Heilongjiang Province  
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