Retrieval of Specific Leaf Area From Landsat-8 Surface Reflectance Data Using Statistical and Physical Models
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[1] W. Verhoef. Light scattering by leaf layers with application to canopy reflectance modeling: The Scattering by Arbitrarily Inclined Leaves (SAIL) model , 1984 .
[2] F. Baret,et al. PROSPECT: A model of leaf optical properties spectra , 1990 .
[3] Wout Verhoef,et al. A new forest light interaction model in support of forest monitoring , 1992 .
[4] S. Running,et al. Regional‐Scale Relationships of Leaf Area Index to Specific Leaf Area and Leaf Nitrogen Content , 1994 .
[5] S. Ustin,et al. Estimating leaf biochemistry using the PROSPECT leaf optical properties model , 1996 .
[6] Thomas F. Coleman,et al. An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds , 1993, SIAM J. Optim..
[7] L. Lymburner,et al. Estimation of Canopy-Average Surface-Specific Leaf Area Using Landsat TM Data , 2000 .
[8] M. Schlerf,et al. Inversion of a forest reflectance model to estimate structural canopy variables from hyperspectral remote sensing data , 2006 .
[9] K. Soudani,et al. Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass , 2008 .
[10] A. Skidmore,et al. Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland , 2008 .
[11] Roberta E. Martin,et al. Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels , 2008 .
[12] John J. Qu,et al. Constrained radiative transfer inversions for vegetation moisture retrievals in grasslands , 2009 .
[13] M. Heurich,et al. National Parks as Model Regions for Interdisciplinary Long-Term Ecological Research: The Bavarian Forest and Šumavá National Parks Underway to Transboundary Ecosystem Research , 2010 .
[14] A. Skidmore,et al. Mapping grassland leaf area index with airborne hyperspectral imagery : a comparison study of statistical approaches and inversion of radiative transfer models , 2011 .
[15] Roberta E. Martin,et al. Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests. , 2011, Ecological applications : a publication of the Ecological Society of America.
[16] Jan G. P. W. Clevers,et al. Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[17] Jan Hanuš,et al. Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status , 2012 .
[18] Lei Ji,et al. Estimating aboveground biomass in interior Alaska with Landsat data and field measurements , 2012, Int. J. Appl. Earth Obs. Geoinformation.
[19] Qin Lin,et al. Enhanced vegetation index using Moderate Resolution Imaging Spectroradiometers , 2012, 2012 5th International Congress on Image and Signal Processing.
[20] Philip Lewis,et al. Hyperspectral remote sensing of foliar nitrogen content , 2012, Proceedings of the National Academy of Sciences.
[21] Marta Yebra,et al. Estimation of dry matter content in leaves using normalized indexes and PROSPECT model inversion , 2012 .
[22] Pei Leng,et al. [Estimation of vegetation canopy water content using Hyperion hyperspectral data]. , 2013, Guang pu xue yu guang pu fen xi = Guang pu.
[23] Lukas W. Lehnert,et al. Conservation value of forests attacked by bark beetles: Highest number of indicator species is found in early successional stages , 2013 .
[24] Zhiming Feng,et al. Cross-Comparison of Vegetation Indices Derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-8 Operational Land Imager (OLI) Sensors , 2013, Remote. Sens..
[25] Jean-Baptiste Féret,et al. Deriving leaf mass per area (LMA) from foliar reflectance across a variety of plant species using continuous wavelet analysis , 2014 .
[26] H. Fraga,et al. Examining the relationship between the Enhanced Vegetation Index and grapevine phenology , 2014 .
[27] Heng Dong,et al. Remote Estimation of Leaf Water Content Using Spectral Index Derived From Hyperspectral Data , 2015 .
[28] O. Mutanga,et al. Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas , 2015 .
[29] C. A. Mücher,et al. Environmental science: Agree on biodiversity metrics to track from space , 2015, Nature.
[30] Lifu Zhang,et al. Comparison of the Continuity of Vegetation Indices Derived from Landsat 8 OLI and Landsat 7 ETM+ Data among Different Vegetation Types , 2015, Remote. Sens..
[31] Qinhuo Liu,et al. Regional Leaf Area Index Retrieval Based on Remote Sensing: The Role of Radiative Transfer Model Selection , 2015, Remote. Sens..
[32] Xiao-dong Song,et al. Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images , 2015, Journal of Zhejiang University-SCIENCE B.
[33] J. Madsen,et al. Estimating the Biomass of Waterhyacinth (Eichhornia crassipes) Using the Normalized Difference Vegetation Index Derived from Simulated Landsat 5 TM , 2015, Invasive Plant Science and Management.
[34] Marco Heurich,et al. Estimating leaf functional traits by inversion of PROSPECT: Assessing leaf dry matter content and specific leaf area in mixed mountainous forest , 2016, Int. J. Appl. Earth Obs. Geoinformation.
[35] Vinay Kumar Sehgal,et al. Inversion of radiative transfer model for retrieval of wheat biophysical parameters from broadband reflectance measurements , 2016 .
[36] S. Liang,et al. Estimation of fraction of absorbed photosynthetically active radiation from multiple satellite data: Model development and validation , 2016 .
[37] Marco Heurich,et al. Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest , 2016, Remote. Sens..
[38] Andrew K. Skidmore,et al. Retrieval of forest leaf functional traits from HySpex imagery using radiative transfer models and continuous wavelet analysis , 2016 .
[39] Andrew K. Skidmore,et al. Effects of Canopy Structural Variables on Retrieval of Leaf Dry Matter Content and Specific Leaf Area From Remotely Sensed Data , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[40] Andrew K. Skidmore,et al. Specific leaf area estimation from leaf and canopy reflectance through optimization and validation of vegetation indices , 2017 .