Satellite L-band vegetation optical depth is directly proportional to crop water in the US Corn Belt

被引：31

作者：

Togliatti, Kaitlin ^{[1
]}

Hartman, Theodore ^{[1
]}

Walker, Victoria A. ^{[1
]}

Arkebauer, Timothy J. ^{[2
]}

Suyker, Andrew E. ^{[2
]}

VanLoocke, Andy ^{[1
]}

Hornbuckle, Brian K. ^{[1
]}

机构：

[1] Iowa State Univ, Dept Agron, Ames, IA 50011 USA

[2] Univ Nebraska, Sch Nat Resources, Lincoln, NE USA

来源：

REMOTE SENSING OF ENVIRONMENT | 2019年 / 233卷

关键词：

SMAP; SMOS; Agro-IBIS; Vegetation gravimetric water content; VOD; SOIL-MOISTURE PRODUCTS; MICROWAVE EMISSION; LAND-SURFACE; 1.4; GHZ; SMOS; CLASSIFICATION; PERFORMANCE; SYSTEM; YIELD; MODEL;

D O I：

10.1016/j.rse.2019.111378

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

NASA's Soil Moisture Active Passive (SMAP) and ESA's Soil Moisture Ocean Salinity (SMOS) carry satellite L-band radiometers whose primary missions are to measure soil moisture. However, they also allow retrieving of vegetation optical depth (VOD), the degree to which vegetation attenuates microwave radiation. Because attenuation is primarily a function of the total amount of liquid water in a vegetation canopy that is contained within vegetation tissue, VOD could be used to monitor seasonal changes in this quantity, which we call crop water, in major agricultural regions such as the US Corn Belt. There are two main advantages of L-band VOD: it observes the entire canopy volume because soil moisture sensitivity is maintained throughout the growing season; and since it is unaffected by cloud cover there are close to daily measurements. To show its value, we compare SMAP and SMOS VOD to satellite-scale estimates of crop productivity created using the Agricultural Integrated BIosphere Simulator (Agro-IBIS) and observed weather at the South Fork SMAP Core Validation Site in the Corn Belt state of Iowa. We find that SMAP and SMOS VOD are directly proportional to crop water. New empirical models that relate crop water to crop dry mass were required to make this finding. We created these models with in situ data spanning multiple years and stages of crop development. The value of the proportionality constant (or "b-parameter") relating VOD to crop water at the satellite scale is about half as large as previous estimates. Because L-band VOD is directly proportional to crop water at the satellite scale, and because we understand the relationship between crop water and crop dry mass, SMAP and SMOS have the potential to evaluate the large-scale performance of crop models in the Corn Belt on a near daily basis.

引用

页数：11

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