CONTRIBUTIONS OF GEOPHYSICAL AND C-BAND SAR DATA FOR ESTIMATION OF FIELD SCALE SOIL MOISTURE

被引：0

作者：

Berg, Aaron ^{[1
]}

Krafczek, Mitchell ^{[1
]}

Clewley, Daniel ^{[2
]}

Whitcomb, Jane ^{[3
]}

Akbar, Ruzbeh ^{[4
]}

Moghaddam, Mahta ^{[3
]}

McNarin, Heather ^{[5
]}

机构：

[1] Univ Guelph, Dept Geog, Guelph, ON, Canada

[2] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England

[3] Univ Southern Calif, Los Angeles, CA 90089 USA

[4] MIT, Cambridge, MA 02139 USA

[5] Agr & Agri Food Canada, Sci & Technol Branch, Ottawa, ON, Canada

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

Soil Moisture; SAR; RADARSAT-2; CALIBRATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this study we evaluate a Random Forest (RF) model for characterizing the spatial variability of soil moisture based on model derived from in situ soil moisture samples, geophysical data and RADAR observations. The RF model is run with and without C-band SAR backscatter to understand the importance of the inclusion of SAR data for mapping of soil moisture at field scale. The inclusion of SAR data in the RF resulted in a modest improvement however the geophysical parameters (e.g. soil types and terrain properties) were of greater importance.

引用

收藏

页码：6127 / 6130

页数：4

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