陕西水利2024,Issue(11) :108-110.

基于多源遥感数据广东省水土保持K因子提取分析

Extraction and Analysis of K Factor for Soil and Water Conservation in Guangdong Province Based on Multi-source Remote Sensing Data

陈晓翠 李可
陕西水利2024,Issue(11) :108-110.

基于多源遥感数据广东省水土保持K因子提取分析

Extraction and Analysis of K Factor for Soil and Water Conservation in Guangdong Province Based on Multi-source Remote Sensing Data

陈晓翠 1李可2
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作者信息

  • 1. 南工设计(广东)有限公司,广东 深圳 518017
  • 2. 南工设计(广东)有限公司,广东 深圳 518017;深圳世源工程技术有限公司,广东 深圳 518017
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摘要

K因子是RUSLE模型中土壤可蚀性参数,对评估土壤侵蚀程度具有重要意义.以广东省为例,基于实地采样获取的84个土壤样本数据,通过多源遥感数据和数字制图技术,提取省域K因子精细分布.结果表明,基于 scorpan 土壤景观模型,从气候、土壤、生物等.

Abstract

K factor is a soil erodibility parameter in RUSLE model,which is of great significance for evaluating soil erosion degree.Taking Guangdong Province as an example,based on 84 soil sample data obtained from field sampling,the fine distribution of K-factor in the province was extracted through multi-source remote sensing data and digital mapping technology.The results show that based on scorpan soil landscape model,from climate,soil,biology and so on.

关键词

K因子/广东省/支持向量机/制图

Key words

K factor/Guangdong Province/support vector machine/cartography

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出版年

2024
陕西水利
陕西省城乡供水管理办公室

陕西水利

影响因子:0.185
ISSN:1673-9000
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