Global evapotranspiration derived by ETMonitor model based on earth observations
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Jing Lu | Kun Wang | Li Jia | Chaolei Zheng | Guangcheng Hu | Zhansheng Li | Kun Wang | Chaolei Zheng | Lihui Jia | G. Hu | Jing Lu | Zhansheng Li | L. Jia
[1] J. Norman,et al. Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .
[2] José A. Sobrino,et al. Satellite-derived land surface temperature: Current status and perspectives , 2013 .
[3] Wim G.M. Bastiaanssen,et al. Surface energy balance and actual evapotranspiration of the transboundary Indus Basin estimated from satellite measurements and the ETLook model , 2012 .
[4] Di Long,et al. Estimation of daily average net radiation from MODIS data and DEM over the Baiyangdian watershed in North China for clear sky days , 2010 .
[5] Chaolei Zheng,et al. Coupling SEBAL with a new radiation module and MODIS products for better estimation of evapotranspiration , 2016 .
[6] Ramakrishna R. Nemani,et al. Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status , 2003, IEEE Trans. Geosci. Remote. Sens..
[7] Maosheng Zhao,et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .
[8] L. S. Pereira,et al. Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .
[9] Li Jia,et al. Monitoring of Evapotranspiration in a Semi-Arid Inland River Basin by Combining Microwave and Optical Remote Sensing Observations , 2015, Remote. Sens..
[10] Matthew F. McCabe,et al. The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms , 2015 .
[11] P. Jarvis. The Interpretation of the Variations in Leaf Water Potential and Stomatal Conductance Found in Canopies in the Field , 1976 .
[12] A. Holtslag,et al. A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .
[13] Matthew F. McCabe,et al. The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets , 2015 .
[14] Qiang Liu,et al. Preliminary evaluation of the long-term GLASS albedo product , 2013 .
[15] W. Wagner,et al. A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data , 1999 .
[16] C. Schwalm,et al. Carbon consequences of global hydrologic change, 1948–2009 , 2011 .
[17] A. Baccini,et al. Mapping forest canopy height globally with spaceborne lidar , 2011 .
[18] Massimo Menenti,et al. Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011 , 2015 .
[19] Maosheng Zhao,et al. Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .
[20] J. Wallace,et al. Evaporation from sparse crops‐an energy combination theory , 2007 .
[21] Chenghu Zhou,et al. A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data , 2009, Sensors.
[22] Jindi Wang,et al. Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance , 2014, IEEE Transactions on Geoscience and Remote Sensing.