List of works - Qiaozhen Mu

A satellite-based hybrid algorithm to determine the Priestley–Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes

scholarly article by Yunjun Yao et al published August 2015 in Remote Sensing of Environment

Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations

scholarly article

Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China

article

Contribution of increasing CO<sub>2</sub>and climate change to the carbon cycle in China's ecosystems

scientific article published in 2008

Corrigendum to: A satellite-based hybrid algorithm to determine the Priestley–Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes [Remote Sens. Environ. 165 (2015) 216–233]

scholarly article by Yunjun Yao et al published November 2015 in Remote Sensing of Environment

Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

scientific article published on 28 June 2007

Direct impacts on local climate of sugar-cane expansion in Brazil

article

Evaluating water stress controls on primary production in biogeochemical and remote sensing based models

scholarly article

Improvements to a MODIS global terrestrial evapotranspiration algorithm

scientific article published on 15 April 2011

Local cooling and warming effects of forests based on satellite observations

scientific article

Potential and Actual impacts of deforestation and afforestation on land surface temperature

scholarly article

Recent decline in the global land evapotranspiration trend due to limited moisture supply

scientific article

Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005

article

Satellite-derived estimates of forest leaf area index in southwest Western Australia are not tightly coupled to interannual variations in rainfall: implications for groundwater decline in a drying climate.

scientific article

The net carbon drawdown of small scale afforestation from satellite observations

scientific article

Upscaling key ecosystem functions across the conterminous United States by a water-centric ecosystem model

scholarly article

List of works by Qiaozhen Mu

A satellite-based hybrid algorithm to determine the Priestley–Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes

Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations

Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China

Contribution of increasing CO<sub>2</sub>and climate change to the carbon cycle in China's ecosystems

Corrigendum to: A satellite-based hybrid algorithm to determine the Priestley–Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes [Remote Sens. Environ. 165 (2015) 216–233]

Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

Direct impacts on local climate of sugar-cane expansion in Brazil

Evaluating water stress controls on primary production in biogeochemical and remote sensing based models

Improvements to a MODIS global terrestrial evapotranspiration algorithm

Local cooling and warming effects of forests based on satellite observations

Potential and Actual impacts of deforestation and afforestation on land surface temperature

Recent decline in the global land evapotranspiration trend due to limited moisture supply

Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005

Satellite-derived estimates of forest leaf area index in southwest Western Australia are not tightly coupled to interannual variations in rainfall: implications for groundwater decline in a drying climate.

The net carbon drawdown of small scale afforestation from satellite observations

Upscaling key ecosystem functions across the conterminous United States by a water-centric ecosystem model