Advances in remote sensing of vegetation function and traits
暂无分享,去创建一个
[1] J. Dungan,et al. Exploring the relationship between reflectance red edge and chlorophyll content in slash pine. , 1990, Tree physiology.
[2] Markus Reichstein,et al. The imprint of plants on ecosystem functioning: A data-driven approach , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[3] F. Baret,et al. PROSPECT: A model of leaf optical properties spectra , 1990 .
[4] W. Verhoef. Light scattering by leaf layers with application to canopy reflectance modeling: The Scattering by Arbitrarily Inclined Leaves (SAIL) model , 1984 .
[5] Raul Zurita-Milla,et al. Visualizing the ill-posedness of the inversion of a canopy radiative transfer model: A case study for Sentinel-2 , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[6] J. Townshend,et al. African Land-Cover Classification Using Satellite Data , 1985, Science.
[7] Frédéric Baret,et al. Modeled analysis of the biophysical nature of spectral shifts and comparison with information content of broad bands , 1992 .
[8] C. Tucker,et al. Increased plant growth in the northern high latitudes from 1981 to 1991 , 1997, Nature.
[9] C. Field,et al. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency , 1992 .
[10] Matthew F. McCabe,et al. Leaf chlorophyll constraint on model simulated gross primary productivity in agricultural systems , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[11] Ruben Van De Kerchove,et al. Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[12] Alicia Palacios-Orueta,et al. Ecosystem functional assessment based on the "optical type" concept and self-similarity patterns: An application using MODIS-NDVI time series autocorrelation , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[13] A F Goetz,et al. Imaging Spectrometry for Earth Remote Sensing , 1985, Science.
[14] P. Curran. Remote sensing of foliar chemistry , 1989 .
[15] C. Tucker. Red and photographic infrared linear combinations for monitoring vegetation , 1979 .
[16] P. Zarco-Tejada,et al. Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera , 2012 .
[17] Clement Atzberger,et al. Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[18] E. B. Knipling. Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation , 1970 .
[19] Takahiro Endo,et al. A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[20] J. Colwell. Vegetation canopy reflectance , 1974 .
[21] Mac McKee,et al. Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[22] Charles K. Gatebe,et al. Observing system simulations for small satellite formations estimating bidirectional reflectance , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[23] Wout Verhoef,et al. A model for chlorophyll fluorescence and photosynthesis at leaf scale , 2009 .
[24] Yuri Knyazikhin,et al. Retrieval of canopy biophysical variables from bidirectional reflectance Using prior information to solve the ill-posed inverse problem , 2003 .
[25] Raymond F. Kokaly,et al. Plant phenolics and absorption features in vegetation reflectance spectra near 1.66 μm , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[26] Lammert Kooistra,et al. An evaluation of remote sensing derived soil pH and average spring groundwater table for ecological assessments , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[27] Jan Pisek,et al. Spectral reflectance patterns and seasonal dynamics of common understory types in three mature hemi-boreal forests , 2015, Int. J. Appl. Earth Obs. Geoinformation.