Influence of 3D Spruce Tree Representation on Accuracy of Airborne and Satellite Forest Reflectance Simulated in DART
暂无分享,去创建一个
Nicolas Lauret | Z. Malenovsky | Z. Malenovský | L. Homolová | J. Hanus | J. Gastellu-Etchegorry | N. Lauret | R. Janoutová | Jan Hanuš | L. Homolova | R Janoutova | J-P Gastellu-Etchegorry | J. Hanuš
[1] Alexander Berk,et al. MODTRAN6: a major upgrade of the MODTRAN radiative transfer code , 2014, Defense + Security Symposium.
[2] Peter Willemsen,et al. A scalable plant-resolving radiative transfer model based on optimized GPU ray tracing , 2014 .
[3] Carlo Calfapietra,et al. Effect of season, needle age and elevated CO2 concentration on photosynthesis and Rubisco acclimation in Picea abies. , 2012, Plant physiology and biochemistry : PPB.
[4] M. Fournier,et al. The use of terrestrial LiDAR technology in forest science: application fields, benefits and challenges , 2011, Annals of Forest Science.
[5] Xi Zhu,et al. Foliar and woody materials discriminated using terrestrial LiDAR in a mixed natural forest , 2018, Int. J. Appl. Earth Obs. Geoinformation.
[6] Peter R. J. North,et al. Three-dimensional forest light interaction model using a Monte Carlo method , 1996, IEEE Trans. Geosci. Remote. Sens..
[7] M. Schaepman,et al. Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer , 2013 .
[8] E. Cienciala,et al. Comparison of different approaches of radiation use efficiency of biomass formation estimation in Mountain Norway spruce , 2017, Trees.
[9] M I Disney,et al. Weighing trees with lasers: advances, challenges and opportunities , 2018, Interface Focus.
[10] Ranga B. Myneni,et al. The role of canopy structure in the spectral variation of transmission and absorption of solar radiation in vegetation canopies , 2001, IEEE Trans. Geosci. Remote. Sens..
[11] R. B. Jackson,et al. A Large and Persistent Carbon Sink in the World’s Forests , 2011, Science.
[12] Michael E. Schaepman,et al. A note on upscaling coniferous needle spectra to shoot spectral albedo , 2012 .
[13] W. Verhoef,et al. Coupled soil–leaf-canopy and atmosphere radiative transfer modeling to simulate hyperspectral multi-angular surface reflectance and TOA radiance data , 2007 .
[14] Heinrich Spiecker,et al. SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds , 2015 .
[15] J. Chambers,et al. Regional ecosystem structure and function: ecological insights from remote sensing of tropical forests. , 2007, Trends in ecology & evolution.
[16] Olga V. Brovkina,et al. In situ data supporting remote sensing estimation of spruce forest parameters at the ecosystem station Bílý Kříž , 2017 .
[17] Michael A. Lefsky,et al. Review of studies on tree species classification from remotely sensed data , 2016 .
[18] Michael E. Schaepman,et al. Minimizing Measurement Uncertainties of Coniferous Needle-Leaf Optical Properties. Part II: Experimental Setup and Error Analysis , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[19] Joanne C. White,et al. Remote Sensing Technologies for Enhancing Forest Inventories: A Review , 2016 .
[20] Gregory P. Asner,et al. A Revised Measurement Methodology for Conifer Needles Spectral Optical Properties: Evaluating the Influence of Gaps between Elements , 1999 .
[21] Barbara Koch,et al. Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment , 2010 .
[22] W. Qin,et al. 3-D Scene Modeling of Semidesert Vegetation Cover and its Radiation Regime , 2000 .
[23] E. Schulze,et al. Leaf nitrogen, photosynthesis, conductance and transpiration : scaling from leaves to canopies , 1995 .
[24] P. Brando,et al. Forest health and global change , 2015, Science.
[25] Alan H. Strahler,et al. Finding Leaves in the Forest: The Dual-Wavelength Echidna Lidar , 2015, IEEE Geoscience and Remote Sensing Letters.
[26] D. Diner,et al. Canopy Structure Parameters Derived from Multi-Angular Remote Sensing Data for Terrestrial Carbon Studies , 2004 .
[27] N. Gobron,et al. A semidiscrete model for the scattering of light by vegetation , 1997 .
[28] Michael E. Schaepman,et al. Shoot scattering phase function for Scots pine and its effect on canopy reflectance , 2012 .
[29] Michael E. Schaepman,et al. Estimation of Spruce Needle-Leaf Chlorophyll Content Based on DART and PARAS Canopy Reflectance Models , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[30] M. Nieuwenhuis,et al. Retrieval of forest structural parameters using LiDAR remote sensing , 2010, European Journal of Forest Research.
[31] Wuming Zhang,et al. Reconstruction of Single Tree with Leaves Based on Terrestrial LiDAR Point Cloud Data , 2018, Remote. Sens..
[32] Philip Lewis,et al. Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling , 2018, Remote. Sens..
[33] P. Stenberg,et al. A method to account for shoot scale clumping in coniferous canopy reflectance models , 2003 .
[34] B. Bailey,et al. Rapid measurement of the three-dimensional distribution of leaf orientation and the leaf angle probability density function using terrestrial LiDAR scanning , 2017 .
[35] Guang Zheng,et al. Leaf Orientation Retrieval From Terrestrial Laser Scanning (TLS) Data , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[36] A. Kuusk,et al. A Directional Multispectral Forest Reflectance Model , 2000 .
[37] V. Demarez,et al. Modeling radiative transfer in heterogeneous 3D vegetation canopies , 1995, Remote Sensing.
[38] R. Richter,et al. Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: Atmospheric/topographic correction , 2002 .
[39] Michael E. Schaepman,et al. Influence of woody elements of a Norway spruce canopy on nadir reflectance simulated by the DART model at very high spatial resolution , 2008 .
[40] R. Chazdon. Beyond Deforestation: Restoring Forests and Ecosystem Services on Degraded Lands , 2008, Science.
[41] Marco Heurich,et al. Understanding Forest Health with Remote Sensing-Part II - A Review of Approaches and Data Models , 2017, Remote. Sens..
[42] Philip Lewis,et al. 3D modelling of forest canopy structure for remote sensing simulations in the optical and microwave domains , 2006 .
[43] Richard A. Fournier,et al. The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar , 2009 .
[44] W. Verhoef. Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .
[45] Thomas R. Loveland,et al. A review of large area monitoring of land cover change using Landsat data , 2012 .
[46] Philip Lewis,et al. Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data , 2013, Remote. Sens..
[47] Nadine Gobron,et al. The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing , 2015 .
[48] N. Myers,et al. The biodiversity challenge: Expanded hot-spots analysis , 1990, The Environmentalist.
[49] M. Schaepman,et al. Applicability of the PROSPECT model for Norway spruce needles , 2006 .
[50] Hideki Kobayashi,et al. A coupled 1-D atmosphere and 3-D canopy radiative transfer model for canopy reflectance, light environment, and photosynthesis simulation in a heterogeneous landscape , 2008 .
[51] Winfried Kurth,et al. Growth grammars simulating trees - an extension of L-systems incorporating local variables and sensitivity , 1997 .
[52] Abdelaziz Kallel,et al. Vegetation radiative transfer modeling based on virtual flux decomposition , 2010 .
[53] T. D. Mitchell,et al. Ecosystem Service Supply and Vulnerability to Global Change in Europe , 2005, Science.
[54] Michel M. Verstraete,et al. Raytran: a Monte Carlo ray-tracing model to compute light scattering in three-dimensional heterogeneous media , 1998, IEEE Trans. Geosci. Remote. Sens..
[55] Jorgen B. Thomsen,et al. Biodiversity Hotspots and Major Tropical Wilderness Areas: Approaches to Setting Conservation Priorities , 1998 .
[56] Guang Zheng,et al. Improved Salient Feature-Based Approach for Automatically Separating Photosynthetic and Nonphotosynthetic Components Within Terrestrial Lidar Point Cloud Data of Forest Canopies , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[57] Markku Åkerblom,et al. Non-intersecting leaf insertion algorithm for tree structure models , 2018, Interface Focus.
[58] Pauline Stenberg,et al. Simulations of the effects of shoot structure and orientation on vertical gradients in intercepted light by conifer canopies. , 1996, Tree physiology.
[59] Marco Heurich,et al. Understanding Forest Health with Remote Sensing -Part I - A Review of Spectral Traits, Processes and Remote-Sensing Characteristics , 2016, Remote. Sens..
[60] Patrick Valduriez,et al. OpenAlea: scientific workflows combining data analysis and simulation , 2015, SSDBM.
[61] M. Marek,et al. Test of Accuracy of LAI Estimation by LAI-2000 under Artificially Changed Leaf to Wood Area Proportions , 2000, Biologia Plantarum.
[62] Michael E. Schaepman,et al. GEOMETRICAL AND STRUCTURAL PARAMETERIZATION OF FOREST CANOPY RADIATIVE TRANSFER BY LIDAR MEASUREMENTS , 2008 .
[63] Ahmad Al Bitar,et al. DART: Recent Advances in Remote Sensing Data Modeling With Atmosphere, Polarization, and Chlorophyll Fluorescence , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.