Remote Sensing and Modeling of Global Evapotranspiration

[1]  Maosheng Zhao,et al.  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .

[2]  A. Goldstein,et al.  A comparison of three approaches to modeling leaf gas exchange in annually drought-stressed ponderosa pine forests. , 2004, Tree physiology.

[3]  P. McIntyre,et al.  Global threats to human water security and river biodiversity , 2010, Nature.

[4]  G. Farquhar,et al.  Optimal stomatal control in relation to leaf area and nitrogen content , 2002 .

[5]  Jetse D. Kalma,et al.  Estimating evaporation from pasture using infrared thermometry: evaluation of a one-layer resistance model. , 1990 .

[6]  J. Terborgh,et al.  The above‐ground coarse wood productivity of 104 Neotropical forest plots , 2004 .

[7]  F. I. Morton Operational estimates of areal evapotranspiration and their significance to the science and practice of hydrology , 1983 .

[8]  D. Baldocchi,et al.  Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites , 2008 .

[9]  P. Jones,et al.  Representing Twentieth-Century Space–Time Climate Variability. Part I: Development of a 1961–90 Mean Monthly Terrestrial Climatology , 1999 .

[10]  J. Norman,et al.  Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .

[11]  S. Running,et al.  Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data , 1989 .

[12]  W. Cohen,et al.  Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation , 2003 .

[13]  Zhao-Liang Li,et al.  Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data , 2002 .

[14]  N. Nova,et al.  Real evapotranspiration and transpiration through a tropical rain forest in central Amazonia as estimated by the water balance method , 1995 .

[15]  R. Leuning,et al.  A model of canopy photosynthesis and water use incorporating a mechanistic formulation of leaf CO2 exchange , 1992 .

[16]  S. Seneviratne,et al.  Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.

[17]  E. Schulze,et al.  Relationships among Maximum Stomatal Conductance, Ecosystem Surface Conductance, Carbon Assimilation Rate, and Plant Nitrogen Nutrition: A Global Ecology Scaling Exercise , 1994 .

[18]  Charles J Vörösmarty,et al.  Potential evaporation functions compared on US watersheds: Possible implications for global-scale water balance and terrestrial ecosystem modeling , 1998 .

[19]  M. A. Arain,et al.  Energy and water vapour exchanges over a mixedwood boreal forest in Ontario, Canada , 2006 .

[20]  Steven W. Running,et al.  Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS products , 2003 .

[21]  W. Bastiaanssen SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey , 2000 .

[22]  Yoshinobu Sato,et al.  Annual water balance and seasonality of evapotranspiration in a Bornean tropical rainforest , 2005 .

[23]  D. A. Stow,et al.  Relationship between AVHRR surface temperature and NDVI in Arctic tundra ecosystems , 2005 .

[24]  V. Lieffers,et al.  The effect of humidity on photosynthesis and water relations of white spruce seedlings during the early establishment phase , 1996 .

[25]  B. Séguin,et al.  Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modeling approaches , 2005 .

[26]  James L. Wright,et al.  Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid U.S. , 2005 .

[27]  E. Munson Ecosystems and Human Well-being : Current State and Trends Main Messages , 2006 .

[28]  Lawrence B. Flanagan,et al.  Seasonal and interannual variation in carbon dioxide exchange and carbon balance in a northern temperate grassland , 2002 .

[29]  Alan H. Strahler,et al.  MODIS bidirectional reflectance distribution function and albedo Climate Modeling Grid products and the variability of albedo for major global vegetation types , 2005 .

[30]  Maosheng Zhao,et al.  Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009 , 2010, Science.

[31]  J. Liski,et al.  Climatic effects on litter decomposition from arctic tundra to tropical rainforest , 2003 .

[32]  R. Granger,et al.  Evaporation from natural nonsaturated surfaces , 1989 .

[33]  J. Wallace,et al.  Soil evaporation from tiger-bush in south-west Niger , 1997 .

[34]  Ye Qi,et al.  Effects of climate variability on the carbon dioxide, water, and sensible heat fluxes above a ponderosa pine plantation in the Sierra Nevada (CA) , 2000 .

[35]  Ramakrishna R. Nemani,et al.  An operational remote sensing algorithm of land surface evaporation , 2003 .

[36]  Scott D. Miller,et al.  SEASONALITY OF WATER AND HEAT FLUXES OVER A TROPICAL FOREST IN EASTERN AMAZONIA , 2004 .

[37]  Tim R. McVicar,et al.  On the importance of including vegetation dynamics in Budyko's hydrological model , 2006 .

[38]  S. G. Nelson,et al.  Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape , 2008, Sensors.

[39]  Charles J Vörösmarty,et al.  Widespread decline in hydrological monitoring threatens Pan-Arctic Research , 2002 .

[40]  Peter E. Thornton,et al.  Regional ecosystem simulation: Combining surface- and satellite-based observations to study linkages between terrestrial energy and mass budgets , 1998 .

[41]  D. Roy,et al.  Achieving sub-pixel geolocation accuracy in support of MODIS land science , 2002 .

[42]  Ranga B. Myneni,et al.  Analysis of leaf area index and fraction of PAR absorbed by vegetation products from the terra MODIS sensor: 2000-2005 , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[43]  Lawrence B. Flanagan,et al.  Seasonal and interannual variation in evapotranspiration, energy balance and surface conductance in a northern temperate grassland , 2002 .

[44]  Maosheng Zhao,et al.  A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production , 2004 .

[45]  Ximing Cai,et al.  Will The World Run Dry? Global Water and Food Security , 2003 .

[46]  N. C. Strugnell,et al.  First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .

[47]  Matthew F. McCabe,et al.  Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA) , 2005 .

[48]  S. Goetz,et al.  Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005 , 2008 .

[49]  J. Hicke,et al.  Global synthesis of leaf area index observations: implications for ecological and remote sensing studies , 2003 .

[50]  F. Woodward,et al.  Global Photosynthesis and Stomatal Conductance: Modelling the Controls by Soil and Climate , 1994 .

[51]  C. Tucker,et al.  A Global 9-yr Biophysical Land Surface Dataset from NOAA AVHRR Data , 2000 .

[52]  S. Running,et al.  Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .

[53]  Steven W. Running,et al.  Evaluating water stress controls on primary production in biogeochemical and remote sensing based models , 2007 .

[54]  Jehn-Yih Juang,et al.  Separating the effects of climate and vegetation on evapotranspiration along a successional chronosequence in the southeastern US , 2006 .

[55]  Henry L. Gholz,et al.  Ecosystem and understory water and energy exchange for a mature, naturally regenerated pine flatwoods forest in north Florida , 2005 .

[56]  Maosheng Zhao,et al.  Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses , 2006 .

[57]  D. Roy,et al.  An overview of MODIS Land data processing and product status , 2002 .

[58]  K. Davis,et al.  Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data , 2010 .

[59]  C. Priestley,et al.  On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters , 1972 .

[60]  H. Jones Plants and Microclimate: Other environmental factors: wind, altitude, climate change and atmospheric pollutants , 2013 .

[61]  Ramakrishna R. Nemani,et al.  Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forests in different climates , 1988 .

[62]  S. Kanae,et al.  Global Hydrological Cycles and World Water Resources , 2006, Science.

[63]  E. Noordman,et al.  SEBAL model with remotely sensed data to improve water-resources management under actual field conditions , 2005 .

[64]  William P. Kustas,et al.  An intercomparison study on models of sensible heat flux over partial canopy surfaces with remotely sensed surface temperature , 1996 .

[65]  Richard G. Allen,et al.  Measuring versus estimating net radiation and soil heat flux: Impact on Penman-Monteith reference ET estimates in semiarid regions , 2007 .

[66]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[67]  Ramakrishna R. Nemani,et al.  Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status , 2003, IEEE Trans. Geosci. Remote. Sens..

[68]  A. Huete,et al.  Amazon rainforests green‐up with sunlight in dry season , 2006 .

[69]  Nicolo E. DiGirolamo,et al.  A biophysical process-based estimate of global land surface evaporation using satellite and ancillary data. I. Model description and comparison with observations , 1998 .

[70]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[71]  John M. Norman,et al.  Estimating Fluxes on Continental Scales Using Remotely Sensed Data in an Atmospheric–Land Exchange Model , 1999 .

[72]  B. Heusinkveld,et al.  Accuracy of soil heat flux plate measurements in coarse substrates – Field measurements versus a laboratory test , 2007 .

[73]  S. Running,et al.  Regional evaporation estimates from flux tower and MODIS satellite data , 2007 .

[74]  Michael R. Raupach,et al.  Combination theory and equilibrium evaporation , 2001 .

[75]  F. W. Murray,et al.  On the Computation of Saturation Vapor Pressure , 1967 .

[76]  P. Mote,et al.  Twentieth-Century Trends in Runoff, Evapotranspiration, and Soil Moisture in the Western United States* , 2007 .

[77]  Allen Hope,et al.  Modeling evapotranspiration in Arctic coastal plain ecosystems using a modified BIOME-BGC model , 2006 .

[78]  P. Jarvis The Interpretation of the Variations in Leaf Water Potential and Stomatal Conductance Found in Canopies in the Field , 1976 .

[79]  D. Randall,et al.  A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation , 1996 .

[80]  Yves Brunet,et al.  A long-term study of soil heat flux under a forest canopy , 2001 .

[81]  A. Lacis,et al.  Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data , 2004 .

[82]  G. James Collatz,et al.  Regulation of branch-level gas exchange of boreal trees: roles of shoot water potential and vapor pressure difference. , 1997, Tree physiology.

[83]  Henry L. Gholz,et al.  CARBON DYNAMICS ALONG A CHRONOSEQUENCE OF SLASH PINE PLANTATIONS IN NORTH FLORIDA , 2004 .

[84]  G. Gutman,et al.  The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models , 1998 .

[85]  W. Bastiaanssen,et al.  A remote sensing surface energy balance algorithm for land (SEBAL). , 1998 .

[86]  Xiaoxiong Xiong,et al.  On-orbit performance of the Earth Observing System Moderate Resolution Imaging Spectroradiometer; first year of data , 2002 .

[87]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[88]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[89]  A. Mäkelä,et al.  Optimal control of gas exchange. , 1986, Tree physiology.

[90]  E. Rastetter,et al.  Potential Net Primary Productivity in South America: Application of a Global Model. , 1991, Ecological applications : a publication of the Ecological Society of America.

[91]  Natsuko Yoshifuji,et al.  A review of evapotranspiration estimates from tropical forests in Thailand and adjacent regions , 2008 .

[92]  R. Leuning A critical appraisal of a combined stomatal‐photosynthesis model for C3 plants , 1995 .

[93]  Nathan Phillips,et al.  Survey and synthesis of intra‐ and interspecific variation in stomatal sensitivity to vapour pressure deficit , 1999 .

[94]  Ramakrishna R. Nemani,et al.  Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[95]  Alan H. Strahler,et al.  Global land cover mapping from MODIS: algorithms and early results , 2002 .

[96]  S. T. Gower,et al.  A cross‐biome comparison of daily light use efficiency for gross primary production , 2003 .

[97]  D. Frank,et al.  Temporal variation in actual evapotranspiration of terrestrial ecosystems: patterns and ecological implications , 1994 .

[98]  J. Terborgh,et al.  The regional variation of aboveground live biomass in old‐growth Amazonian forests , 2006 .

[99]  Matthew F. McCabe,et al.  Estimating evaporation from satellite remote sensing , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[100]  D. Baldocchi,et al.  Seasonal trends in photosynthetic parameters and stomatal conductance of blue oak (Quercus douglasii) under prolonged summer drought and high temperature. , 2003, Tree physiology.

[101]  J. Janowiak,et al.  Global Land Precipitation: A 50-yr Monthly Analysis Based on Gauge Observations , 2002 .

[102]  D. Murdiyarso,et al.  A study of evaporation from tropical rain forest — West Java , 1986 .

[103]  P. Jarvis,et al.  Stomatal responses to humidity in selected conifers. , 1986, Tree physiology.

[104]  Matthew F. McCabe,et al.  Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors , 2006 .

[105]  Adriaan A. Van de Griend,et al.  Bare soil surface resistance to evaporation by vapor diffusion under semiarid conditions , 1994 .

[106]  Y. Kawamitsu,et al.  Humidity pretreatment affects the responses of stomata and CO2 assimilation to vapor pressure difference in C3 and C4 plants , 1993 .

[107]  P. Jones,et al.  Representing Twentieth-Century Space-Time Climate Variability. Part II: Development of 1901-96 Monthly Grids of Terrestrial Surface Climate , 2000 .

[108]  Maosheng Zhao,et al.  Improvements of the MODIS terrestrial gross and net primary production global data set , 2005 .

[109]  Z. Su The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes , 2002 .

[110]  Maosheng Zhao,et al.  Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .