Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation

S. W. Running

doi:10.2307/1941378

Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation

S. W. Running

W. A. Franke College of Forestry and Conservation

Research output: Contribution to journal › Article › peer-review

313 Scopus citations

Abstract

Annual evapotranspiration (ET) and net photosynthesis (PSN) were estimated for a mountainous 28 × 55 km of predominantly coniferous forests in western Montana. A simple geographic information system integrated topographic, soils, vegetation, and climatic data at a 1.1-km scale size defined by the satellite sensor pixel size. Leaf area index (LAI) of the forest was estimated with data from the NOAA (National Oceanic and Atmospheric Administration) Advanced Very High Resolution Radiometer (AVHRR). -from Authors

Original language	English
Pages (from-to)	1090-1101
Number of pages	12
Journal	Ecology
Volume	70
Issue number	4
DOIs	https://doi.org/10.2307/1941378
State	Published - 1989

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title = "Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation",

abstract = "Annual evapotranspiration (ET) and net photosynthesis (PSN) were estimated for a mountainous 28 × 55 km of predominantly coniferous forests in western Montana. A simple geographic information system integrated topographic, soils, vegetation, and climatic data at a 1.1-km scale size defined by the satellite sensor pixel size. Leaf area index (LAI) of the forest was estimated with data from the NOAA (National Oceanic and Atmospheric Administration) Advanced Very High Resolution Radiometer (AVHRR). -from Authors",

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AB - Annual evapotranspiration (ET) and net photosynthesis (PSN) were estimated for a mountainous 28 × 55 km of predominantly coniferous forests in western Montana. A simple geographic information system integrated topographic, soils, vegetation, and climatic data at a 1.1-km scale size defined by the satellite sensor pixel size. Leaf area index (LAI) of the forest was estimated with data from the NOAA (National Oceanic and Atmospheric Administration) Advanced Very High Resolution Radiometer (AVHRR). -from Authors

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JO - Ecology

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Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation

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