基于GF-1与Landsat 8遥感数据的耕地表层土壤有机质含量反演精度对比研究

doi:10.3969/j.issn.1004-1524.2017.01.19

浙江农业学报 ›› 2017, Vol. 29 ›› Issue (1): 137-143.DOI: 10.3969/j.issn.1004-1524.2017.01.19

基于GF-1与Landsat 8遥感数据的耕地表层土壤有机质含量反演精度对比研究

马驰

辽宁省交通高等专科学校测绘工程系,辽宁沈阳 110122

收稿日期:2016-06-03 出版日期:2017-01-15 发布日期:2017-02-23
作者简介:马驰(1975—),男,辽宁义县人,博士,副教授,主要从事RS与GIS应用研究。E-mail:machi1001@sina.com
基金资助:
国家自然科学基金项目(41371332); 中国地质调查局项目(1212010911084); 辽宁省交通高等专科学校优秀人才项目(lnccrc201401)

Comparison on inversion accuracy of soil organic matter in surface layer based on GF-1 and Landsat 8 remote sensing data

MA Chi

Department of Surveying and Mapping Engineering, Liaoning Provincial College of Communications, Shenyang 110122, China

Received:2016-06-03 Online:2017-01-15 Published:2017-02-23

摘要/Abstract

摘要： 以GF-1和Landsat 8遥感影像为数据源,以依安县、拜泉县为研究对象,结合研究区土壤采样的化验数据,比较2种遥感影像在反演土壤有机质含量方面的能力与差异。结果表明,2种遥感影像在可见光与近红外波段的反射率与土壤有机质含量显著相关,且在近红外波段相关性最大,利用GF-1近红外波段建立的指数模型比利用Landsat 8近红外波段建立的幂模型估测效果略好。引入蓝波段(深蓝波段)、红波段建立起来的多元回归模型比单波段模型具有更高的反演精度,尤以对Landsat 8遥感影像的改善效果更明显。与Landsat 8相比,GF-1遥感影像具有更高的空间分辨率和更短的重访周期,在土壤有机质含量的探测方面具有相近的预测能力,可以替代Landsat 8遥感影像。

关键词: 高分一号, Landsat 8, 土壤有机质, 定量反演

Abstract: In the present study, GF-1 and Landsat 8 remote sensing data for Yi'an County and Baiquan County were adopted along with laboratory tested data of soil sample to reveal the feasibility and differences of application of GF-1 and Landsat 8 in soil organic matter inversion. It was shown that the reflectivity of remote sensing images was significantly associated with soil organic matter content in the visible and near-infrared band, and the correlation coefficient reached the maximum in the near-infrared band. The exponential model based on near-infrared band of GF-1 was better than the power model based on near-infrared band of Landsat 8 in estimating soil organic matter content. Blue (deep blue) and red band were introduced into multiple regression model to enhance the ability of estimating organic matter content, and it was especially beneficial for Landsat 8. In short, GF-1 exhibited a higher spatial resolution, shorter revisit cycle and similar predictive ability as compared to Landsat 8, and thus was able to replace Landsat 8 in soil organic matter inversion.

Key words: GF-1, Landsat 8, soil organic matter, quantitative inversion

中图分类号:

TP79

马驰. 基于GF-1与Landsat 8遥感数据的耕地表层土壤有机质含量反演精度对比研究[J]. 浙江农业学报, 2017, 29(1): 137-143.

MA Chi. Comparison on inversion accuracy of soil organic matter in surface layer based on GF-1 and Landsat 8 remote sensing data[J]. , 2017, 29(1): 137-143.

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基于GF-1与Landsat 8遥感数据的耕地表层土壤有机质含量反演精度对比研究

Comparison on inversion accuracy of soil organic matter in surface layer based on GF-1 and Landsat 8 remote sensing data

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