A Method for Upscaling In Situ Soil Moisture Measurements to Satellite Footprint Scale Using Random Forests

被引：54

作者：

Clewley, Daniel ^{[1
]}

Whitcomb, Jane B. ^{[2
]}

Akbar, Ruzbeh ^{[4
]}

Silva, Agnelo R. ^{[7
]}

Berg, Aaron ^{[8
]}

Adams, Justin R. ^{[9
]}

Caldwell, Todd ^{[10
]}

Entekhabi, Dara ^{[5
,6
]}

Moghaddam, Mahta ^{[3
]}

机构：

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

[2] Univ Southern Calif, Los Angeles, CA 90095 USA

[3] Univ Southern Calif, Ming Hsieh Dept Elect Engn, Elect Engn, Los Angeles, CA 90095 USA

[4] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[5] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[6] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA

[7] METER Grp Inc, Pullman, WA 99163 USA

[8] Univ Guelph, Dept Geog, Guelph, ON N1G 2W1, Canada

[9] Wilfrid Laurier Univ, Cold Reg Res Ctr, Waterloo, ON N2L 3C5, Canada

[10] Univ Texas Austin, Bur Econ Geol, Jackson Sch Geosci, Austin, TX 78712 USA

来源：

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING | 2017年 / 10卷 / 06期

基金：

美国国家航空航天局;

关键词：

AirMOSS; Random Forests; scaling; soil moisture; soil moisture active passive (SMAP); VALIDATION; WATER;

D O I：

10.1109/JSTARS.2017.2690220

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：

Geophysical products generated from remotely sensed data require validation to evaluate their accuracy. Typically in situ measurements are used for validation, as is the case for satellite-derived soil moisture products. However, a large disparity in scales often exists between in situ measurements (covering meters to 10 s of meters) and satellite footprints (often hundreds of meters to several kilometers), making direct comparison difficult. Before using in situ measurements for validation, they must be "upscaled" to provide the mean soil moisture within the satellite footprint. There are a number of existing upscaling methods previously applied to soil moisture measurements, but many place strict requirements on the number and spatial distribution of soil moisture sensors difficult to achieve with permanent/semipermanent ground networks necessary for long-term validation efforts. A new method for upscaling is presented here, using Random Forests to fit a model between in situ measurements and a number of landscape parameters and variables impacting the spatial and temporal distributions of soil moisture. The method is specifically intended for validation of the NASA soil moisture active passive (SMAP) products at 36-, 9-, and 3-km scales. The method was applied to in situ data from the SoilSCAPE network in California, validated with data from the SMAPVEX12 campaign in Manitoba, Canada with additional verification from the TxSON network in Texas. For the SMAPVEX12 site, the proposed method was compared to extensive field measurements and was able to predict mean soil moisture over a large area more accurately than other upscaling approaches.

引用

页码：2663 / 2673

页数：11

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