MAPPING DAILY EVAPOTRANSPIRATION USING ASTER AND MODIS IMAGES BASED ON DATA FUSION OVER IRRIGATED AGRICULTURAL AREAS
被引:0
作者:
Li, Yan
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R China
Univ Chinese Acad Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R China
Li, Yan
[1
,2
]
Huang, Chunlin
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h-index: 0
机构:
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R China
Huang, Chunlin
[1
]
Gu, Juan
论文数: 0引用数: 0
h-index: 0
机构:
Lanzhou Univ, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R ChinaChinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R China
Gu, Juan
[3
]
机构:
[1] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100101, Peoples R China
[3] Lanzhou Univ, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R China
来源:
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
|
2017年
基金:
美国国家科学基金会;
关键词:
Evapotranspiration;
data fusion;
SEBS;
STARFM;
Heihe River Basin;
ENERGY FLUXES;
SURFACE;
TEMPERATURE;
GRASSLAND;
LANDSAT;
SEBS;
D O I:
暂无
中图分类号:
P [天文学、地球科学];
学科分类号:
07 ;
摘要:
In this study, the continuous daily ET at 90 m spatial resolution was estimated from the Surface Energy Balance System (SEBS) by using the land surface temperature and land surface reflectance of VNIR combining the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Advanced Space-borne Thermal Emission Reflectance Radiometer (ASTER) spatiotemporal characteristics obtained from the Temporal Adaptive Reflectance Fusion Model (STARFM). Performance of this scheme used to estimate ET at high spatiotemporal resolution was validate over a heterogeneous oasis-desert regions by using in-situ observations from automatic meteorological systems (AMS) and eddy covariance (EC) systems in the middle reach of Heihe River Basin of Northwest China. The error introduced during the data fusion process based on STARFM is in an acceptable range for the predicted LST at 90 m spatial resolution. The surface energy fluxes estimated from SEBS using predicted remotely sensed data combing MODIS and ASTER spatiotemporal characteristics are agree well with observed surface energy fluxes from EC systems for all land cover types. The continuous daily ET estimated based on SEBS and STARFM seems to produce the general ET trends reasonably well for all land covers.
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
George Mason Univ, Dept Geog & Geoinformat Sci, Fairfax, VA 22030 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Li, Hua
Sun, Donglian
论文数: 0引用数: 0
h-index: 0
机构:
George Mason Univ, Dept Geog & Geoinformat Sci, Fairfax, VA 22030 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Sun, Donglian
Yu, Yunyue
论文数: 0引用数: 0
h-index: 0
机构:
NOAA NESDIS Ctr Satellite Applicat & Res, College Pk, MD 20742 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Yu, Yunyue
Wang, Hongyan
论文数: 0引用数: 0
h-index: 0
机构:
George Mason Univ, Dept Geog & Geoinformat Sci, Fairfax, VA 22030 USA
Ocean Univ China, Coll Informat Sci & Engn, Dept Marine Technol, Qingdao 266100, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Wang, Hongyan
Liu, Yuling
论文数: 0引用数: 0
h-index: 0
机构:
Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Liu, Yuling
Liu, Qinhuo
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Liu, Qinhuo
Du, Yongming
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Du, Yongming
Wang, Heshun
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Wang, Heshun
Cao, Biao
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
George Mason Univ, Dept Geog & Geoinformat Sci, Fairfax, VA 22030 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Li, Hua
Sun, Donglian
论文数: 0引用数: 0
h-index: 0
机构:
George Mason Univ, Dept Geog & Geoinformat Sci, Fairfax, VA 22030 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Sun, Donglian
Yu, Yunyue
论文数: 0引用数: 0
h-index: 0
机构:
NOAA NESDIS Ctr Satellite Applicat & Res, College Pk, MD 20742 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Yu, Yunyue
Wang, Hongyan
论文数: 0引用数: 0
h-index: 0
机构:
George Mason Univ, Dept Geog & Geoinformat Sci, Fairfax, VA 22030 USA
Ocean Univ China, Coll Informat Sci & Engn, Dept Marine Technol, Qingdao 266100, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Wang, Hongyan
Liu, Yuling
论文数: 0引用数: 0
h-index: 0
机构:
Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USAChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Liu, Yuling
Liu, Qinhuo
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Liu, Qinhuo
Du, Yongming
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Du, Yongming
Wang, Heshun
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Wang, Heshun
Cao, Biao
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China