Remote estimation of terrestrial evapotranspiration without using meteorological data
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Di Long | Songhao Shang | D. Long | S. Shang | Yuting Yang | Yuting Yang | Yuting Yang
[1] A. Viña,et al. Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity , 2006 .
[2] J. Norman,et al. Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .
[3] S. Shang,et al. Remote sensing temporal and spatial patterns of evapotranspiration and the responses to water management in a large irrigation district of North China , 2012 .
[4] K. Davis,et al. Comparing net ecosystem exchange of carbon dioxide between an old-growth and mature forest in the upper Midwest, USA , 2005 .
[5] Di Long,et al. Integration of the GG model with SEBAL to produce time series of evapotranspiration of high spatial resolution at watershed scales , 2010 .
[6] Kyaw Tha Paw U,et al. Carbon Dioxide Exchange Between an Old-growth Forest and the Atmosphere , 2004, Ecosystems.
[7] Van Genuchten,et al. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils , 1980 .
[8] Markus Reichstein,et al. Mean annual GPP of Europe derived from its water balance , 2007 .
[9] T. A. Black,et al. On the temporal upscaling of evapotranspiration from instantaneous remote sensing measurements to 8-day mean daily-sums , 2012 .
[10] D. Sims,et al. Potential of MODIS EVI and surface temperature for directly estimating per‐pixel ecosystem C fluxes , 2005 .
[11] M. Schaap,et al. Neural network analysis for hierarchical prediction of soil hydraulic properties , 1998 .
[12] W. Oechel,et al. On the use of MODIS EVI to assess gross primary productivity of North American ecosystems , 2006 .
[13] Jing M. Chen,et al. Predicting gross primary production from the enhanced vegetation index and photosynthetically active radiation: Evaluation and calibration , 2011 .
[14] D. Hollinger,et al. Refining light-use efficiency calculations for a deciduous forest canopy using simultaneous tower-based carbon flux and radiometric measurements , 2007 .
[15] Ge Sun,et al. Response of carbon fluxes to drought in a coastal plain loblolly pine forest , 2010 .
[16] W. Oechel,et al. Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation , 2002 .
[17] W. Oechel,et al. A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS , 2008 .
[18] Jason P. Kaye,et al. Long‐term impact of a stand‐replacing fire on ecosystem CO2 exchange of a ponderosa pine forest , 2008 .
[19] V. Singh,et al. A Two-source Trapezoid Model for Evapotranspiration (TTME) from satellite imagery , 2012 .
[20] S. Shang,et al. A hybrid dual‐source scheme and trapezoid framework–based evapotranspiration model (HTEM) using satellite images: Algorithm and model test , 2013 .
[21] A. Warrick. Soil Water Dynamics , 2003 .
[22] D. Baldocchi,et al. Inter-annual variability in carbon dioxide exchange of an oak/grass savanna and open grassland in California , 2007 .
[23] Paul V. Bolstad,et al. Using Light-Use and Production Efficiency Models to Predict Photosynthesis and Net Carbon Exchange During Forest Canopy Disturbance , 2008, Ecosystems.
[24] H. R. Haise,et al. Soil Moisture Studies of Some Great Plains Soils: II. Field Capacity as Related to 1/3‐Atmosphere Percentage, and “Minimum Point” as Related to 15‐ and 26‐Atmosphere Percentages , 1955 .
[25] A. Holtslag,et al. A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .
[26] Mark Heuer,et al. Influences of biomass heat and biochemical energy storages on the land surface fluxes and radiative temperature , 2007 .
[27] Xiangming Xiao,et al. Satellite-based estimation of evapotranspiration of an old-growth temperate mixed forest , 2009 .
[28] N. Phillips,et al. Water use and carbon exchange of red oak- and eastern hemlock-dominated forests in the northeastern USA: implications for ecosystem-level effects of hemlock woolly adelgid. , 2008, Tree physiology.
[29] Z. Su. The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes , 2002 .
[30] Maosheng Zhao,et al. Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .
[31] K. Hibbard,et al. Postfire carbon pools and fluxes in semiarid ponderosa pine in Central Oregon , 2007 .
[32] Marcy E. Litvak,et al. An eddy covariance mesonet to measure the effect of forest age on land–atmosphere exchange , 2006 .
[33] Xiaoliang Lu,et al. Evaluating evapotranspiration and water-use efficiency of terrestrial ecosystems in the conterminous United States using MODIS and AmeriFlux data , 2010 .
[34] Anatoly A. Gitelson,et al. Remote estimation of gross primary productivity in crops using MODIS 250m data , 2013 .
[35] S. Wofsy,et al. Factors controlling CO2 exchange on timescales from hourly to decadal at Harvard Forest , 2007 .
[36] S. Kanae,et al. Global Hydrological Cycles and World Water Resources , 2006, Science.
[37] J. Norman,et al. Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature [Agric. For. Meteorol., 77 (1995) 263–293]☆ , 1996 .
[38] H. Schmid,et al. Uncertainty of annual net ecosystem productivity estimated using eddy covariance flux measurements , 2006 .
[39] Eric A. Davidson,et al. Spatial and temporal variability in forest–atmosphere CO2 exchange , 2004 .
[40] Markus Reichstein,et al. Temporal and among‐site variability of inherent water use efficiency at the ecosystem level , 2009 .