Standardized Soil Moisture Index for Drought Monitoring Based on Soil Moisture Active Passive Observations and 36 Years of North American Land Data Assimilation System Data: A Case Study in the Southeast United States

被引：65

作者：

Xu, Yaping ^{[1
]}

Wang, Lei ^{[1
]}

Ross, Kenton W. ^{[2
]}

Liu, Cuiling ^{[1
]}

Berry, Kimberly ^{[3
]}

机构：

[1] Louisiana State Univ, Dept Geog & Anthropol, Baton Rouge, LA 70803 USA

[2] NASA Langley Res Ctr, NASA DEVELOP Natl Program, MS 307, Hampton, VA 23666 USA

[3] NASA DEVELOP Natl Program, Wise Cty & City Norton Clerk Courts Off, 206 E Main St, Wise, VA 24293 USA

来源：

REMOTE SENSING | 2018年 / 10卷 / 02期

关键词：

remote sensing; Soil Moisture Active Passive; North American Land Data Assimilation System; drought; soil moisture; standardized soil moisture index; DIFFERENCE WATER INDEX; RETRIEVALS; PRODUCTS; NDWI;

D O I：

10.3390/rs10020301

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Droughts can severely reduce the productivity of agricultural lands and forests. The United States Department of Agriculture (USDA) Southeast Regional Climate Hub (SERCH) has launched the Lately Identified Geospecific Heightened Threat System (LIGHTS) to inform its users of potential water deficiency threats. The system identifies droughts and other climate anomalies such as extreme precipitation and heat stress. However, the LIGHTS model lacks input from soil moisture observations. This research aims to develop a simple and easy-to-interpret soil moisture and drought warning indexstandardized soil moisture index (SSI)by fusing the space-borne Soil Moisture Active Passive (SMAP) soil moisture data with the North American Land Data Assimilation System (NLDAS) Noah land surface model (LSM) output. Ground truth soil moisture data from the Soil Climate Analysis Network (SCAN) were collected for validation. As a result, the accuracy of using SMAP to monitor soil moisture content generally displayed a good statistical correlation with the SCAN data. The validation through the Palmer drought severity index (PDSI) and normalized difference water index (NDWI) suggested that SSI was effective and sensitive for short-term drought monitoring across large areas.

引用

页数：13

共 33 条

[11] NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space
Gao, BC
[J]. REMOTE SENSING OF ENVIRONMENT, 1996, 58 (03) : 257 - 266
[12] Hayes M.J., 2006, DROUGHT INDICES
[13] Seasonal to interannual variations of soil moisture measured in Oklahoma
Illston, BG
Basara, JB
Crawford, KC
[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2004, 24 (15) : 1883 - 1896
[14] Keyantash J, 2002, B AM METEOROL SOC, V83, P1167, DOI 10.1175/1520-0477(2002)083<1191:TQODAE>2.3.CO
[15] 2
[16] The use of the normalized difference water index (NDWI) in the delineation of open water features
McFeeters, SK
[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1996, 17 (07) : 1425 - 1432
[17] MCKEE TB, 1993, P 8 C APPL CLIM AN C
[18] McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
[19] McNulty S., 2015, Agric. Res. Serv., V2015, P1
[20] A comparison of soil moisture models using Soil Climate Analysis Network observations
Meng, Lei
Quiring, Steven M.
[J]. JOURNAL OF HYDROMETEOROLOGY, 2008, 9 (04) : 641 - 659

← 1 2 3 4 →