AMSR2和MODIS影像协同估算区域土壤湿度

IF 1 4区地球科学 Q4 GEOGRAPHY, PHYSICAL

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-09-01 DOI:10.14358/pers.20-00085

M. Rahimzadegan, A. Davari, A. Sayadi

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引用次数: 1

摘要

先进微波扫描辐射计2号(AMSR2)的产品土壤含水量(SMC)在区域尺度上的精度不够。本研究的目的是介绍一种简单的估算SMC的方法，同时在区域尺度上协同使用AMSR2和中分辨率成像光谱仪(MODIS)的测量，具有更高的精度。使用日反射率(MYD021)和夜间地表温度(LST)两种MODIS产品。2015年、1442年原位SMC测量从六个站在伊朗被用作真实数据。利用极化指数(PI)、土壤湿度指数(ISW)、归一化植被指数(NDVI)和地表温度对20个模型进行了综合评价。采用PI和ISW的二次组合、线性形式的LST和定值的模型得到了最好的结果。总体相关系数为0.59，均方根误差为4.62%，平均绝对误差为3.01%。

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Estimating Regional Soil Moisture with Synergistic Use of AMSR2 and MODIS Images

Soil moisture content (SMC), product of Advanced Microwave Scanning Radiometer 2 (AMSR2), is not at an adequate level of accuracy on a regional scale. The aim of this study is to introduce a simple method to estimate SMC while synergistically using AMSR2 and Moderate Resolution Imaging Spectroradiometer (MODIS) measurements with a higher accuracy on a regional scale. Two MODIS products, including daily reflectance (MYD021) and nighttime land surface temperature (LST) products were used. In 2015, 1442 in situ SMC measurements from six stations in Iran were used as ground-truth data. Twenty models were evaluated using combinations of polarization index (PI), index of soil wetness (ISW), normalized difference vegetation index (NDVI), and LST. The model revealed the best results using a quadratic combination of PI and ISW, a linear form of LST, and a constant value. The overall correlation coefficient, root-mean-square error, and mean absolute error were 0.59, 4.62%, and 3.01%, respectively.

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来源期刊

Photogrammetric Engineering and Remote Sensing 地学-成像科学与照相技术

CiteScore

1.70

自引率

15.40%

发文量

审稿时长

9 months

期刊介绍： Photogrammetric Engineering & Remote Sensing commonly referred to as PE&RS, is the official journal of imaging and geospatial information science and technology. Included in the journal on a regular basis are highlight articles such as the popular columns “Grids & Datums” and “Mapping Matters” and peer reviewed technical papers. We publish thousands of documents, reports, codes, and informational articles in and about the industries relating to Geospatial Sciences, Remote Sensing, Photogrammetry and other imaging sciences.