Remote sensing of seasonal variability of fractional vegetation cover and its object-based spatial pattern analysis over mountain areas
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[1] Heather Reese,et al. C-correction of optical satellite data over alpine vegetation areas: A comparison of sampling strategies for determining the empirical c-parameter , 2011 .
[2] Qiang Liu,et al. Inversion of a Radiative Transfer Model for Estimating Forest LAI From Multisource and Multiangular Optical Remote Sensing Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[3] María-Pilar Jarabo-Amores,et al. Spatial-Range Mean-Shift Filtering and Segmentation Applied to SAR Images , 2011, IEEE Transactions on Instrumentation and Measurement.
[4] Wenjiang Huang,et al. Inversion of a radiative transfer model for estimating forest lai from multisource and multi-angular optical remote sensing data based on ANN , 2010, 2010 Second IITA International Conference on Geoscience and Remote Sensing.
[5] Tobias Langanke,et al. Combined object-based classification and manual interpretation–synergies for a quantitative assessment of parcels and biotopes , 2009 .
[6] Congshan Zhu,et al. Mean shift‐based clustering analysis of multispectral remote sensing imagery , 2009 .
[7] Liangpei Zhang,et al. An Adaptive Mean-Shift Analysis Approach for Object Extraction and Classification From Urban Hyperspectral Imagery , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[8] P. Gong,et al. Reduction of atmospheric and topographic effect on Landsat TM data for forest classification , 2008 .
[9] Robert Jenssen,et al. Mean shift spectral clustering , 2008, Pattern Recognit..
[10] Sylvie Le Hégarat-Mascle,et al. Determination of vegetation cover fraction by inversion of a four-parameter model based on isoline parametrization , 2007 .
[11] J. Mustard,et al. Cross-scalar satellite phenology from ground, Landsat, and MODIS data , 2007 .
[12] P. Gong,et al. Assessment of multi-resolution and multi-sensor data for urban surface temperature retrieval , 2006 .
[13] Liangpei Zhang,et al. A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[14] G. Hay,et al. An automated object-based approach for the multiscale image segmentation of forest scenes , 2005 .
[15] Craig A. Coburn,et al. SCS+C: a modified Sun-canopy-sensor topographic correction in forested terrain , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[16] Manfred Ehlers,et al. A novel method for generating 3D city models from high resolution and multi‐sensor remote sensing data , 2005 .
[17] Tazio Strozzi,et al. Detecting and quantifying mountain permafrost creep from in situ inventory, space-borne radar interferometry and airborne digital photogrammetry , 2004 .
[18] M. Ashton,et al. Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests , 2004 .
[19] S. Liang. Quantitative Remote Sensing of Land Surfaces , 2003 .
[20] B. Markham,et al. Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges , 2003, IEEE Trans. Geosci. Remote. Sens..
[21] C. Burnett,et al. A multi-scale segmentation/object relationship modelling methodology for landscape analysis , 2003 .
[22] W. Verhoef,et al. Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models , 2003 .
[23] Thomas Blaschke,et al. A comparison of three image-object methods for the multiscale analysis of landscape structure , 2003 .
[24] A. Strahler,et al. Monitoring vegetation phenology using MODIS , 2003 .
[25] Ruiliang Pu,et al. Simple calibration of AVIRIS data and LAI mapping of forest plantation in southern Argentina , 2003 .
[26] J. Dymond,et al. Correcting satellite imagery for the variance of reflectance and illumination with topography , 2003 .
[27] A. Kääb. Monitoring high-mountain terrain deformation from repeated air- and spaceborne optical data: examples using digital aerial imagery and ASTER data , 2002 .
[28] A. Huete,et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .
[29] G. Perry,et al. Spatial modelling of landscape composition and pattern in a maquis–forest complex, Mont Do, New Caledonia , 2002 .
[30] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[31] A. Gitelson,et al. Novel algorithms for remote estimation of vegetation fraction , 2002 .
[32] X Briottet,et al. Radiative transfer solution for rugged and heterogeneous scene observations. , 2000, Applied optics.
[33] W. Cohen,et al. Lidar Remote Sensing of the Canopy Structure and Biophysical Properties of Douglas-Fir Western Hemlock Forests , 1999 .
[34] A. Gillespie,et al. Topographic Normalization of Landsat TM Images of Forest Based on Subpixel Sun–Canopy–Sensor Geometry , 1998 .
[35] T. Carlson,et al. On the relation between NDVI, fractional vegetation cover, and leaf area index , 1997 .
[36] Geoffrey J. Hay,et al. Spatial thresholds, image-objects, and upscaling: A multiscale evaluation , 1997 .
[37] Didier Tanré,et al. Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..
[38] Klaus I. Itten,et al. A physically-based model to correct atmospheric and illumination effects in optical satellite data of rugged terrain , 1997, IEEE Trans. Geosci. Remote. Sens..
[39] R. Richter. Correction of atmospheric and topographic effects for high spatial resolution satellite imagery , 1997 .
[40] K. Wittich,et al. Area-averaged vegetative cover fraction estimated from satellite data , 1995 .
[41] J. Clevers,et al. The robustness of canopy gap fraction estimates from red and near-infrared reflectances: A comparison of approaches , 1995 .
[42] Alan H. Strahler,et al. Topographic effects on bidirectional and hemispherical reflectances calculated with a geometric-optical canopy model , 1994, IEEE Trans. Geosci. Remote. Sens..
[43] J. Boone Kauffman,et al. Relationships of fire, biomass and nutrient dynamics along a vegetation gradient in the Brazilian Cerrado , 1994 .
[44] G. Grabherr,et al. Climate effects on mountain plants , 1994, Nature.
[45] I. Hanski,et al. Patch-occupancy dynamics in fragmented landscapes. , 1994, Trends in ecology & evolution.
[46] Sankar K. Pal,et al. A review on image segmentation techniques , 1993, Pattern Recognit..
[47] P. Ehrlich,et al. Forest Canopy Structure at Overwintering Monarch Butterfly Sites: Measurements with Hemispherical Photography , 1991 .
[48] A. Huete. A soil-adjusted vegetation index (SAVI) , 1988 .
[49] C. Justice,et al. Analysis of the phenology of global vegetation using meteorological satellite data , 1985 .
[50] P. Teillet,et al. On the Slope-Aspect Correction of Multispectral Scanner Data , 1982 .
[51] Thomas Blaschke,et al. Object based image analysis for remote sensing , 2010 .
[52] W. Hargrove,et al. Toward a national early warning system for forest disturbances using remotely sensed canopy phenology , 2009 .
[53] U. Benz,et al. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information , 2004 .
[54] Thomas Blaschke,et al. Object-oriented image analysis and scale-space: Theory and methods for modeling and evaluating multi-scale landscape structure , 2001 .