Estimation of Crop Gross Primary Production (GPP): Fapar(sub Chl) Versus MOD15A2 FPAR
暂无分享,去创建一个
F. Gao | Yujie Wang | S. Verma | E. Middleton | Yen-Ben Cheng | A. Lyapustin | Qingyuan Zhang | A. Suyker | F. Gao | Yen-Ben Cheng
[1] Andrew E. Suyker,et al. Estimation of crop gross primary production (GPP): I. impact of MODIS observation footprint and impact of vegetation BRDF characteristics , 2014 .
[2] Yujie Wang,et al. Impacts of light use efficiency and fPAR parameterization on gross primary production modeling , 2014 .
[3] Elizabeth M. Middleton,et al. Variations of Foliage Chlorophyll fAPAR and Foliage Non-Chlorophyll fAPAR (fAPAR$_{\rm chl}$, fAPAR$_{\rm non\mathchar "702D chl}$) at the Harvard Forest , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[4] Anatoly A. Gitelson,et al. Remote estimation of gross primary productivity in crops using MODIS 250m data , 2013 .
[5] C. Tucker,et al. Multi-angle implementation of atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction , 2012 .
[6] Anatoly A. Gitelson,et al. An evaluation of MODIS 8- and 16-day composite products for monitoring maize green leaf area index , 2012 .
[7] A. Gitelson,et al. Remote estimation of crop gross primary production with Landsat data , 2012 .
[8] Bo-Cai Gao,et al. Using EO-1 Hyperion to Simulate HyspIRI Products for a Coniferous Forest: The Fraction of PAR Absorbed by Chlorophyll $(\hbox{fAPAR}_{\rm chl})$ and Leaf Water Content (LWC) , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[9] A. Viña,et al. Comparison of different vegetation indices for the remote assessment of green leaf area index of crops , 2011 .
[10] Andrew E. Suyker,et al. REMOTE ESTIMATION OF GROSS PRIMARY PRODUCTION IN MAIZE , 2011 .
[11] Yujie Wang,et al. Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm , 2011 .
[12] Yujie Wang,et al. Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative transfer basis and look-up tables , 2011 .
[13] Thomas Hilker,et al. Remote sensing of photosynthetic light-use efficiency across two forested biomes: Spatial scaling , 2010 .
[14] Maosheng Zhao,et al. Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009 , 2010, Science.
[15] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[16] T. A. Black,et al. Can a satellite-derived estimate of the fraction of PAR absorbed by chlorophyll (FAPARchl) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest? , 2009 .
[17] Yujie Wang,et al. An automatic cloud mask algorithm based on time series of MODIS measurements , 2008 .
[18] Thomas Hilker,et al. Effects of mutual shading of tree crowns on prediction of photosynthetic light-use efficiency in a coastal Douglas-fir forest. , 2008, Tree physiology.
[19] Andrew E. Suyker,et al. Synoptic Monitoring of Gross Primary Productivity of Maize Using Landsat Data , 2008, IEEE Geoscience and Remote Sensing Letters.
[20] Maosheng Zhao,et al. Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses , 2006 .
[21] Jerry Nedelman,et al. Book review: “Bayesian Data Analysis,” Second Edition by A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin Chapman & Hall/CRC, 2004 , 2005, Comput. Stat..
[22] F. Baret,et al. Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model , 2005 .
[23] A. Viña,et al. New developments in the remote estimation of the fraction of absorbed photosynthetically active radiation in crops , 2005 .
[24] T. Arkebauer,et al. Gross primary production and ecosystem respiration of irrigated maize and irrigated soybean during a growing season , 2005 .
[25] Maosheng Zhao,et al. A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production , 2004 .
[26] Anatoly A. Gitelson,et al. Novel technique for remote estimation of CO2 flux in maize , 2003 .
[27] S. Running,et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .
[28] S. V. Caemmerer,et al. Biochemical models of leaf photosynthesis. , 2000 .
[29] Frank Veroustraete,et al. Seasonal variations in leaf area index, leaf chlorophyll, and water content; scaling-up to estimate fAPAR and carbon balance in a multilayer, multispecies temperate forest. , 1999, Tree physiology.
[30] S. Running,et al. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active , 1998 .
[31] Alan H. Strahler,et al. The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research , 1998, IEEE Trans. Geosci. Remote. Sens..
[32] David P. Roy,et al. MODIS land data storage, gridding, and compositing methodology: Level 2 grid , 1998, IEEE Trans. Geosci. Remote. Sens..
[33] Ranga B. Myneni,et al. Estimation of global leaf area index and absorbed par using radiative transfer models , 1997, IEEE Trans. Geosci. Remote. Sens..
[34] Susan L. Ustin,et al. Opportunities for Using the EOS Imaging Spectrometers and Synthetic Aperture Radar in Ecological Models , 1991, Ecology.
[35] S. Running,et al. FOREST-BGC, A general model of forest ecosystem processes for regional applications. II. Dynamic carbon allocation and nitrogen budgets. , 1991, Tree physiology.
[36] S. Running,et al. A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes , 1988 .
[37] P. Sellers. Canopy reflectance, photosynthesis, and transpiration. II. the role of biophysics in the linearity of their interdependence , 1987 .
[38] P. Sellers. Canopy reflectance, photosynthesis and transpiration , 1985 .
[39] S. Running. Microclimate control of forest productivity: Analysis by computer simulation of annual photosynthesis/ transpiration balance in different environments , 1984 .
[40] W. R. Emanuel,et al. Modeling terrestrial ecosystems in the global carbon cycle with shifts in carbon storage capacity by land-use change , 1984 .
[41] C. Tucker. Red and photographic infrared linear combinations for monitoring vegetation , 1979 .
[42] J. Monteith. Climate and the efficiency of crop production in Britain , 1977 .
[43] G. Bingham,et al. Rapid estimates of relative water content. , 1974, Plant physiology.
[44] J. Monteith. SOLAR RADIATION AND PRODUCTIVITY IN TROPICAL ECOSYSTEMS , 1972 .
[45] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[46] Andrew E. Suyker,et al. Estimation of crop gross primary production (GPP): II. Do scaled MODIS vegetation indices improve performance? , 2015 .
[47] S. Running,et al. Global Terrestrial Gross and Net Primary Productivity from the Earth Observing System , 2000 .
[48] Valérie Demarez,et al. Seasonal variation of leaf chlorophyll content of a temperate forest. Inversion of the PROSPECT model , 1999 .
[49] J. R. Evans. The Dependence of Quantum Yield on Wavelength and Growth Irradiance , 1987 .
[50] D. Deering. Rangeland reflectance characteristics measured by aircraft and spacecraft sensors , 1979 .