Object-based assessment of burn severity in diseased forests using high-spatial and high-spectral resolution MASTER airborne imagery
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[1] D. Hall,et al. Landsat digital analysis of the initial recovery of burned tundra at Kokolik River, Alaska , 1980 .
[2] C. Bricker,et al. Remote sensing techniques: state of the art. , 1980 .
[3] P. Teillet,et al. On the Slope-Aspect Correction of Multispectral Scanner Data , 1982 .
[4] J. Neter,et al. Applied Linear Regression Models , 1983 .
[5] A. K. Milne,et al. The use of remote sensing in mapping and monitoring vegetational change associated with bushfire events in Eastern Australia , 1986 .
[6] B. M. Davis. Uses and abuses of cross-validation in geostatistics , 1987 .
[7] P. Switzer,et al. A transformation for ordering multispectral data in terms of image quality with implications for noise removal , 1988 .
[8] G. Guyot,et al. Factors affecting the spectral response of forest canopies: A review , 1989 .
[9] P. Mausel,et al. Assessment of vegetation change in a fire-altered forest landscape. , 1990 .
[10] P. S. Kealy,et al. Separating temperature and emissivity in thermal infrared multispectral scanner data: implications for recovering land surface temperatures , 1993, IEEE Trans. Geosci. Remote. Sens..
[11] Arthur S. Lieberman,et al. Landscape Ecology , 1994, Springer New York.
[12] Lorraine Remer,et al. Detection of forests using mid-IR reflectance: an application for aerosol studies , 1994, IEEE Trans. Geosci. Remote. Sens..
[13] P. Chavez. Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .
[14] S. Running,et al. Remote Sensing of Forest Fire Severity and Vegetation Recovery , 1996 .
[15] Geoffrey J. Hay,et al. An object-specific image-texture analysis of H-resolution forest imagery☆ , 1996 .
[16] Warren B. Cohen,et al. Empirical methods to compensate for a view-angle-dependent brightness gradient in AVIRIS imagery☆ , 1997 .
[17] Ellsworth F. LeDrew,et al. Spectral Discrimination of Healthy and Non-Healthy Corals Based on Cluster Analysis, Principal Components Analysis, and Derivative Spectroscopy , 1998 .
[18] M. Turner,et al. Factors Influencing Succession: Lessons from Large, Infrequent Natural Disturbances , 1998, Ecosystems.
[19] S. Hook,et al. The MODIS/ASTER airborne simulator (MASTER) - a new instrument for earth science studies , 2001 .
[20] I. Jolliffe. Principal Component Analysis , 2002 .
[21] Maggi Kelly,et al. Landscape Dynamics of the Spread of Sudden Oak Death , 2002 .
[22] M. Déqué,et al. Simulation of potential range expansion of oak disease caused by Phytophthora cinnamomi under climate change , 2004 .
[23] Andrew T. Hudak,et al. Mapping fire scars in a southern African savannah using Landsat imagery , 2004 .
[24] Ron Kwok,et al. Mass Balance of the Cryosphere: Remote-sensing techniques , 2004 .
[25] David M Rizzo,et al. Phytophthora ramorum: integrative research and management of an emerging pathogen in California and Oregon forests. , 2005, Annual review of phytopathology.
[26] D. Roy,et al. Characterizing the surface heterogeneity of fire effects using multi‐temporal reflective wavelength data , 2005 .
[27] S. A. Lewis,et al. Remote sensing techniques to assess active fire characteristics and post-fire effects , 2006 .
[28] N. Benson,et al. Landscape Assessment: Ground measure of severity, the Composite Burn Index; and Remote sensing of severity, the Normalized Burn Ratio , 2006 .
[29] Michael A. Wulder,et al. Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities , 2006 .
[30] R. Meentemeyer,et al. Impact of sudden oak death on tree mortality in the Big Sur ecoregion of California , 2008, Biological Invasions.
[31] W. Kurz,et al. Mountain pine beetle and forest carbon feedback to climate change , 2008, Nature.
[32] Geoffrey J. Hay,et al. Image objects and geographic objects , 2008 .
[33] G. Hay,et al. Object-Based Image Analysis , 2008 .
[34] Geoffrey J. Hay,et al. Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline , 2008 .
[35] Thomas Blaschke,et al. Object-Based Image Analysis , 2008 .
[36] Maggi Kelly,et al. Spatial pattern dynamics of oak mortality and associated disease symptoms in a California hardwood forest affected by sudden oak death , 2008, Journal of Forest Research.
[37] Wesley G. Page,et al. Bark beetles, fuels, fires and implications for forest management in the Intermountain West , 2008 .
[38] Ioannis Z. Gitas,et al. Mapping the severity of fire using object-based classification of Ikonos imagery , 2008 .
[39] Aster Gdem Srtm Dted,et al. ASTER Global DEM Validation Summary Report , 2009 .
[40] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[41] Andrew M. Liebhold,et al. Historical Accumulation of Nonindigenous Forest Pests in the Continental United States , 2010 .
[42] F. Davis,et al. Pre-impact forest composition and ongoing tree mortality associated with sudden oak death in the Big Sur region; California. , 2010 .
[43] Sander Veraverbeke,et al. Evaluating Spectral Indices for Assessing Fire Severity in Chaparral Ecosystems (Southern California) Using MODIS/ASTER (MASTER) Airborne Simulator Data , 2011, Remote. Sens..
[44] R. Meentemeyer,et al. Interacting disturbances: wildfire severity affected by stage of forest disease invasion. , 2011, Ecological applications : a publication of the Ecological Society of America.
[45] J. G. Lyon,et al. Hyperspectral Remote Sensing of Vegetation , 2011 .
[46] Geoffrey J. Hay,et al. A multiscale geographic object-based image analysis to estimate lidar-measured forest canopy height using Quickbird imagery , 2011, Int. J. Geogr. Inf. Sci..
[47] Ross K Meentemeyer,et al. Landscape epidemiology of emerging infectious diseases in natural and human-altered ecosystems. , 2012, Annual review of phytopathology.
[48] Simon J. Hook,et al. Synergy of VSWIR (0.4-2.5 mu m) and MTIR (3.5-12.5 mu m) data for post-fire assessments , 2012 .
[49] Lars Eklundh,et al. A new invasive insect in Sweden – Physokermes inopinatus: Tracing forest damage with satellite based remote sensing , 2012 .
[50] Carsten Rahbek,et al. The patterns and causes of elevational diversity gradients , 2012 .
[51] Gang Chen,et al. Article in Press G Model International Journal of Applied Earth Observation and Geoinformation a Geobia Framework to Estimate Forest Parameters from Lidar Transects, Quickbird Imagery and Machine Learning: a Case Study in Quebec, Canada , 2022 .
[52] Brian J. Harvey,et al. Influence of recent bark beetle outbreak on fire severity and postfire tree regeneration in montane Douglas-fir forests. , 2013, Ecology.
[53] S. Hook,et al. Evaluating spectral indices and spectral mixture analysis for assessing fire severity, combustion completeness and carbon emissions , 2013 .
[54] Damaris Zurell,et al. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance , 2013 .
[55] I. Boyd,et al. The Consequence of Tree Pests and Diseases for Ecosystem Services , 2013, Science.
[56] R. Meentemeyer,et al. Unexpected redwood mortality from synergies between wildfire and an emerging infectious disease. , 2013, Ecology.
[57] Gregory P Asner,et al. Geography of forest disturbance , 2013, Proceedings of the National Academy of Sciences.
[58] Thomas Blaschke,et al. Geographic Object-Based Image Analysis – Towards a new paradigm , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.