A Spatio-Temporal Data Fusion Algorithm for Estimating High-Resolution Soil Moisture In Agricultural Regions

被引：0

作者：

Chakrabarti, Subit ^{[1
]}

Liu, Pang-Wei ^{[1
]}

Judge, Jasmeet ^{[1
]}

Rangarajan, Anand ^{[2
]}

De Roo, Roger ^{[5
]}

Bindlish, Rajat ^{[3
]}

Colliander, Andreas ^{[4
]}

Misra, Sidharth ^{[4
]}

Tripp, Scott ^{[4
]}

Latham, Barron ^{[4
]}

Williamson, Ross ^{[4
]}

Ramos, Isaac ^{[4
]}

Jackson, Thomas ^{[3
]}

England, Anthony ^{[6
]}

Ranka, Sanjay ^{[2
]}

Yueh, Simon ^{[4
]}

机构：

[1] Univ Florida, Ctr Remote Sensing, Gainesville, FL 32611 USA

[2] Univ Florida, Dept Comp & Informat Sci & Engn, Gainesville, FL 32611 USA

[3] USDA ARS, Hydrol & Remote Sensing Lab, 104 Bldg 007, Barc West Beltsville, MD 20705 USA

[4] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA

[5] Univ Michigan, Dept Atmospher Ocean & Space Sci, Ann Arbor, MI 48109 USA

[6] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

关键词：

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this study, a data-fusion algorithm is developed for estimation of high-resolution brightness temperatures (TB) at 1km from Soil Moisture Active Passive (SMAP) fine-grid TB product at 9km. It uses image segmentation to spatio-temporally cluster the study region based on meteorological and land cover similarity, followed by a support vector machine based regression that computes the value of the high-resolution TB at all pixels. High resolution remote sensing products such as land surface temperature, normalized difference vegetation index, enhanced vegetation index, precipitation, soil texture, and land-cover were used for disaggregation. The algorithm was implemented in Iowa, United States, from May to September 2016, and compared with the field observations of TB from Microwave Water and Energy Balance Experiment conducted as a part of the Soil Moisture Active Passive Validation Experiment (SMAPVEX16-MicroWEX). Additionally, they were also compared with the Sentinel downscaled SMAP TB at 1km. High resolution soil moisture is subsequently derived from high resolution TB using inverse models.

引用

页码：2495 / 2498

页数：4

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