Evapotranspiration estimates obtained from remote sensing data
被引:0
作者:
Doraiswamy, PC
论文数: 0引用数: 0
h-index: 0
机构:
ARS, USDA, Hydrol & Remote Sensing Lab, Beltsville Agr Res Ctr, Beltsville, MD 20705 USAARS, USDA, Hydrol & Remote Sensing Lab, Beltsville Agr Res Ctr, Beltsville, MD 20705 USA
Doraiswamy, PC
[1
]
Hatfield, JL
论文数: 0引用数: 0
h-index: 0
机构:
ARS, USDA, Hydrol & Remote Sensing Lab, Beltsville Agr Res Ctr, Beltsville, MD 20705 USAARS, USDA, Hydrol & Remote Sensing Lab, Beltsville Agr Res Ctr, Beltsville, MD 20705 USA
Hatfield, JL
[1
]
Prueger, JH
论文数: 0引用数: 0
h-index: 0
机构:
ARS, USDA, Hydrol & Remote Sensing Lab, Beltsville Agr Res Ctr, Beltsville, MD 20705 USAARS, USDA, Hydrol & Remote Sensing Lab, Beltsville Agr Res Ctr, Beltsville, MD 20705 USA
Prueger, JH
[1
]
机构:
[1] ARS, USDA, Hydrol & Remote Sensing Lab, Beltsville Agr Res Ctr, Beltsville, MD 20705 USA
来源:
REMOTE SENSING AND HYDROLOGY 2000
|
2001年
/
267期
关键词:
AVHRR;
energy balance;
evapotranspiration;
Iowa USA;
NDVI;
D O I:
暂无
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
The ability to reliably assess effects of global climate change on water resources for agricultural production on regional scales requires appropriate integration of remotely sensed data and ground observations. A semi-empirical model coupling AVHRR data with surface climate data is evaluated to assess regional estimates of evapotranspiration (ET) in central Iowa. USA. Results show ET estimates from the model to be consistent with the magnitudes of measurements at local scales.
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页码:306 / 310
页数:3
相关论文
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[1]
DABROWSKAZIELIN.K, 1991, P 11 EARSEL S GRAZ A, P201