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Site Name: Austin Cary

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Barrow

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Black Hills

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Blodgett Forest

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Bondville

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: BOREAS NSA - Old Black Spruce

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: British Columbia- Campbell River - Mature Forest Site

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Donaldson

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Duke Forest Hardwoods

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Duke Forest Loblolly Pine

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Fort Peck

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Kennedy Space Center (scrub oak)

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Lethbridge

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Mize

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Niwot Ridge (LTER NWT1)

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Tonzi Ranch

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Univ. of Mich. Biological Station

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Vaira Ranch

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.

Site Name: Walnut River Watershed

Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.