Bayesian object-based estimation of LAI and chlorophyll from a simulated Sentinel-2 top-of-atmosphere radiance image
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[1] J. Roujean,et al. A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data , 1992 .
[2] W. Verhoef,et al. PROSPECT+SAIL models: A review of use for vegetation characterization , 2009 .
[3] W. Verhoef. Light scattering by leaf layers with application to canopy reflectance modeling: The Scattering by Arbitrarily Inclined Leaves (SAIL) model , 1984 .
[4] Junichi Susaki,et al. Robust estimation of BRDF model parameters , 2004 .
[5] Michael E. Schaepman,et al. Experimental Evaluation of Sentinel-2 Spectral Response Functions for NDVI Time-Series Continuity , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[6] Michael E. Schaepman,et al. Correction of Reflectance Anisotropy Effects of Vegetation on Airborne Spectroscopy Data and Derived Products , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[7] Clement Atzberger,et al. Evaluation of Sentinel-2 Spectral Sampling for Radiative Transfer Model Based LAI Estimation of Wheat, Sugar Beet, and Maize , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[8] Roberta E. Martin,et al. PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments , 2008 .
[9] Robert O. Green,et al. On-orbit radiometric and spectral calibration characteristics of EO-1 Hyperion derived with an underflight of AVIRIS and in situ measurements at Salar de Arizaro, Argentina , 2003, IEEE Trans. Geosci. Remote. Sens..
[10] Piermaria Corona,et al. Exploring forest structural complexity by multi-scale segmentation of VHR imagery , 2008 .
[11] F. Baret,et al. Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data : Principles and validation , 2006 .
[12] Hermann Kaufmann,et al. On the application of the MODTRAN4 atmospheric radiative transfer code to optical remote sensing , 2009 .
[13] Luis Alonso,et al. Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content , 2011, Sensors.
[14] W. Verhoef,et al. Estimating forest variables from top-of-atmosphere radiance satellite measurements using coupled radiative transfer models , 2011 .
[15] Luis Alonso,et al. Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3 , 2012 .
[16] Wolfgang Cramer,et al. INCORPORATING DYNAMIC VEGETATION COVER WITHIN GLOBAL CLIMATE MODELS , 2000 .
[17] Richard Bamler,et al. Enhanced Automated Canopy Characterization from Hyperspectral Data by a Novel Two Step Radiative Transfer Model Inversion Approach , 2009, Remote. Sens..
[18] Andres Kuusk,et al. Comparison of measured boreal forest characteristics with estimates from TM data and limited ancillary information using reflectance model inversion , 2002 .
[19] F. L. Dimet,et al. Multitemporal-patch ensemble inversion of coupled surface-atmosphere radiative transfer models for land surface characterization , 2008 .
[20] Yanfei Wang,et al. Regularizing kernel-based BRDF model inversion method for ill-posed land surface parameter retrieval using smoothness constraint , 2008 .
[21] Michael E. Schaepman,et al. Retrieval of foliar information about plant pigment systems from high resolution spectroscopy , 2009 .
[22] C. Atzberger. Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models , 2004 .
[23] G. D’Urso,et al. Experimental assessment of the Sentinel-2 band setting for RTM-based LAI retrieval of sugar beet and maize , 2009 .
[24] P. Levelt,et al. ESA's sentinel missions in support of Earth system science , 2012 .
[25] N. Coops,et al. Application of high spatial resolution satellite imagery for riparian and forest ecosystem classification , 2007 .
[26] Albert Tarantola,et al. Inverse problem theory - and methods for model parameter estimation , 2004 .
[27] Andreas Hueni,et al. APEX - current status, performance and validation concept , 2010, 2010 IEEE Sensors.
[28] J. Hill,et al. Use of coupled canopy structure dynamic and radiative transfer models to estimate biophysical canopy characteristics , 2005 .
[29] U. Benz,et al. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information , 2004 .
[30] Alan H. Strahler,et al. A new class of geometric-optical semiempirical kernels for global BRDF and albedo modeling , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.
[31] R. Richter,et al. Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: Atmospheric/topographic correction , 2002 .
[32] I. Herrmann,et al. LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands , 2011 .
[33] R. Giering,et al. Application to MISR land products of an RPV model inversion package using adjoint and Hessian codes , 2007 .
[34] F. Baret,et al. Estimating Canopy Characteristics from Remote Sensing Observations: Review of Methods and Associated Problems , 2008 .
[35] Matthias Drusch,et al. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .
[36] F. Baret,et al. PROSPECT: A model of leaf optical properties spectra , 1990 .
[37] Andreas Hueni,et al. The structure of the APEX (airborne prism experiment) Processing and Archiving Facility , 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
[38] Daniel Schläpfer,et al. Correction of cirrus effects in Sentinel-2 type of imagery , 2011 .
[39] W. Verhoef,et al. Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models , 2003 .
[40] Alan H. Strahler,et al. Using a multikernel least-variance approach to retrieve and evaluate albedo from limited bidirectional measurements , 2001 .
[41] Yuri Knyazikhin,et al. Retrieval of canopy biophysical variables from bidirectional reflectance Using prior information to solve the ill-posed inverse problem , 2003 .
[42] J. Privette,et al. Inversion methods for physically‐based models , 2000 .
[43] Peng Gong,et al. Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery , 2004 .
[44] Michael E. Schaepman,et al. Sentinels for science: potential of Sentinel-1, -2, and -3 missions for scientific observations of ocean, cryosphere, and land , 2012 .
[45] Martha C. Anderson,et al. Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at the field scale , 2009 .
[46] C. Atzberger,et al. Spatially constrained inversion of radiative transfer models for improved LAI mapping from future Sentinel-2 imagery , 2012 .
[47] Thomas Blaschke,et al. Object based image analysis for remote sensing , 2010 .
[48] R. Giering,et al. Retrieving surface parameters for climate models from Moderate Resolution Imaging Spectroradiometer (MODIS)-Multiangle Imaging Spectroradiometer (MISR) Albedo Products , 2007 .
[49] R. Colombo,et al. Inversion of a radiative transfer model with hyperspectral observations for LAI mapping in poplar plantations , 2004 .
[50] Wout Verhoef,et al. Inversion of a coupled canopy–atmosphere model using multi-angular top-of-atmosphere radiance data: A forest case study , 2011 .
[51] Wolfram Mauser,et al. Optimal Exploitation of the Sentinel-2 Spectral Capabilities for Crop Leaf Area Index Mapping , 2012, Remote. Sens..
[52] S. Running,et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .
[53] B. Koetz,et al. Capability of the Sentinel 2 mission for tropical coral reef mapping and coral bleaching detection , 2012 .
[54] O. Hagolle,et al. LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm , 2007 .
[55] Jindi Wang,et al. A priori knowledge accumulation and its application to linear BRDF model inversion , 2001 .
[56] Yohay Carmel,et al. Automated segmentation of vegetation structure units in a Mediterranean landscape , 2012 .
[57] Gérard Dedieu,et al. A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENµS, LANDSAT and SENTINEL-2 images , 2010 .
[58] Michael E. Schaepman,et al. A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling , 2007, Int. J. Appl. Earth Obs. Geoinformation.
[59] 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 .
[60] Jan G. P. W. Clevers,et al. Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3 , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[61] W. Verhoef,et al. A Bayesian object based approach for estimating vegetation biophysical and biochemical variables from APEX at sensor radiance data , 2013 .
[62] 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 .