Estimation of evapotranspiration in a mid-latitude forest using the Microwave Emissivity Difference Vegetation Index (EDVI)

article We developed an algorithm to estimate evapotranspiration (ET) from dense vegetation covered area from the first principle of surface energy balance model by using satellite retrieved Microwave Emissivity Dif- ference Vegetation Index (EDVI). This algorithm can be used under both clear sky and cloudy sky conditions. Long term seasonal trend of EDVI is linked to variance of canopy resistance due to the interrelationship among leaf development, environmental condition and microwave radiation. Short term changes of EDVI caused by synoptic scale weather variations is used to parameterize the responds of vegetation resistance to the quick changes of environmental factors including water vapor deficit, water potential and others. The performance of this algorithm was test at the Harvard forest site by using satellite measurements from the SSM/I F13 and F14 sensors. Validation at the site with 169 samples shows that the correlation coefficient (R 2 ) between

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