MAPPING EVAPOTRANSPIRATION AT MULTIPLE SCALES USING MULTI-SENSOR DATA FUSION

被引：4

作者：

Anderson, Martha ^{[1
]}

Hain, Christopher ^{[2
]}

Gao, Feng ^{[1
]}

Kustas, William ^{[1
]}

Yang, Yun ^{[1
]}

Sun, Liang ^{[1
]}

Yang, Yang ^{[1
]}

Holmes, Thomas ^{[1
]}

Dulaney, Wayne ^{[1
]}

机构：

[1] USDA ARS, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA

[2] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

关键词：

Evapotranspiration; thermal infrared; data fusion; drought; SATELLITE IMAGERY; SURFACE FLUXES; ENERGY FLUXES; MODEL; LANDSAT; TEMPERATURE; FIELD;

D O I：

10.1109/IGARSS.2016.7729050

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：

Thermal-infrared remote sensing of land surface temperature (LST) provides valuable information for quantifying root-zone water availability, evapotranspiration (ET) and crop condition. This paper describes a multi-scale LST-based energy balance model built using a Two-Source Energy Balance (TSEB) algorithm, which solves for the soil/substrate and canopy temperatures and flux partitioning. A regional modeling system applies the TSEB to time-differential LST measurements from geostationary satellites, providing coarse ET estimates which can be downscaled to finer spatial resolutions using data from polar orbiting satellites. This modeling system, along with strategies for fusing information from multiple satellite platforms and wavebands, has been used to generate ET maps from field to global scales. We describe applications for high spatiotemporal resolution ET retrievals in assessing impacts of human activities and climate change on water resources and agricultural production.

引用

页码：226 / 229

页数：4

共 23 条

[1] Anderson M., 2012, Remote Sensing of Drought: Innovative Monitoring Approaches, P145
[2] Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery
Anderson, M. C.
Kustas, W. P.
Norman, J. M.
Hain, C. R.
Mecikalski, J. R.
Schultz, L.
Gonzalez-Dugo, M. P.
Cammalleri, C.
d'Urso, G.
Pimstein, A.
Gao, F.
[J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2011, 15 (01) : 223 - 239
[3] Upscaling flux observations from local to continental scales using thermal remote sensing
Anderson, Martha C.
Kustas, William P.
Norman, John M.
[J]. AGRONOMY JOURNAL, 2007, 99 (01) : 240 - 254
[4] A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation
Anderson, Martha C.
Norman, John M.
Mecikalski, John R.
Otkin, Jason A.
Kustas, William P.
[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2007, 112 (D10)
[5] Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX'08 field campaign
Anderson, Martha C.
Kustas, William P.
Alfieri, Joseph G.
Gao, Feng
Hain, Christopher
Prueger, John H.
Evett, Steven
Colaizzi, Paul
Howell, Terry
Chavez, Jose L.
[J]. ADVANCES IN WATER RESOURCES, 2012, 50 : 162 - 177
[6] Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources
Anderson, Martha C.
Allen, Richard G.
Morse, Anthony
Kustas, William P.
[J]. REMOTE SENSING OF ENVIRONMENT, 2012, 122 : 50 - 65
[7] A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing
Anderson, MC
Norman, JM
Diak, GR
Kustas, WP
Mecikalski, JR
[J]. REMOTE SENSING OF ENVIRONMENT, 1997, 60 (02) : 195 - 216
[8] Effects of vegetation clumping on two-source model estimates of surface energy fluxes from an agricultural landscape during SMACEX
Anderson, MC
Norman, JM
Kustas, WP
Li, FQ
Prueger, JH
Mecikalski, JR
[J]. JOURNAL OF HYDROMETEOROLOGY, 2005, 6 (06) : 892 - 909
[9] Anderson MC, 2004, J HYDROMETEOROL, V5, P343, DOI 10.1175/1525-7541(2004)005<0343:AMRSMF>2.0.CO
[10] 2

← 1 2 3 →