MODELING THE ERRORS OF A TIME SERIES ALGORITHM FOR RETRIEVING SOIL MOISTURE IN THE NISAR MISSION

被引：1

作者：

Bringer, Alexandra ^{[1
]}

Johnson, Joel T. ^{[1
]}

Park, Jeonghwan ^{[2
]}

Bindlish, Rajat ^{[2
]}

Horton, Dustin ^{[1
]}

机构：

[1] Ohio State Univ, ElectroSci Lab, Columbus, OH 43212 USA

[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

来源：

2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年

关键词：

NISAR; Soil Moisture; Error Model;

D O I：

10.1109/IGARSS46834.2022.9884732

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The National Aeronautics and Space Administration (NASA) - Indian Space Research Organization (ISRO) Synthetic Aperture Radar (NISAR) mission plan to launch a SAR operating at L- and S-band with a 12-day repeat frequency. A global soil moisture product at 200 m spatial resolution derived from 200 m NISAR radar measurements is currently under development. Although several retrieval algorithms are being investigated, this paper focuses on a "time series ratio" retrieval approach. In order to understand and assess the performance of this algorithm, an error model has been developed and is reported in this paper. The model is applied to examine errors as a function of the instrument characteristics and for a given location. Initial progress in including vegetation effects and in predicting errors as a function of spatial location is also described.

引用

页码：5704 / 5707

页数：4

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