Micro-detail comparative forest site analysis using high-resolution satellite imagery

This study presents comparative analysis of high-resolution satellite imagery taken on different dates around a detected incident of interest.  Under an assumption of a micro-detail land monitoring and disturbance detection interests we compared the patterns of image captured disturbances on the analyzed site and leveraged their interpretation with knowledge base published on relevant subjects.  The incident of interest was the Polish Air Force One TU-154M plane destruction on Apr. 10, 2010.  We analyzed the image changes on micro-detail level tracked over time and considered with respect to the patterns of destruction and the plane debris size distribution in space against a broad engineering literature describing destruction patterns of thin walled structures, such as planes and cars.  Then, we compared the spatial distribution of the debris between the pictures taken on different dates.  Finally, we also considered on ground changes in soil moisture and landscape features between different images. The main conclusions from the study were that: (i) the pattern of the plane destruction debris and their spatial distribution found on the ground following the catastrophe was not consistent with expectations associated with a plane crash but rather was suggestive of a plane explosion; (ii) the scene and the plane debris were manipulated over time during the very initial period after the destruction; (iii) surprisingly the numerous heavy equipment vehicles present on the site , which were much larger than the image spatial resolution, were not recorded on any of the satellite images from Apr. 11, 12, or 14, 2010;  (iv) the frequency of the high resolution satellite imagery captured around this airport on the dates of Apr. 5, 9, 11, 12, and 14, 2010, is intriguing given that the last captured image of this type prior to April 5, 2010, took place only in 2007; and (v) a large amount of snow-like high reflectivity coverage in the middle of the crash scene was followed by low reflectivity (suggestive of dry ground) areas following the crash despite generally swampy surroundings of the site and no reported explosion of the plane, which could imply a fast drying out of the melting snow large amounts of water.

[1]  Junho Yeom,et al.  Hybrid Pansharpening Algorithm for High Spatial Resolution Satellite Imagery to Improve Spatial Quality , 2013, IEEE Geoscience and Remote Sensing Letters.

[2]  Richard F. Daniels,et al.  Spatially explicit sustainability analysis of long-term fiber supply in Georgia, USA , 2004 .

[3]  H. Demirel,et al.  Discrete Wavelet Transform-Based Satellite Image Resolution Enhancement , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Marguerite Madden,et al.  A linear mixed-effects model of biomass and volume of trees using Landsat ETM+ images , 2007 .

[5]  W. Abramowicz,et al.  Thin-walled structures as impact energy absorbers , 2003 .

[6]  M. Zasada,et al.  Sensitivity analysis on long-term fiber supply simulations in Georgia. , 2009 .

[7]  C. Cieszewski,et al.  Spatial Clusters and Variability Analysis of Tree Mortality , 2006 .

[8]  T. Wierzbicki,et al.  On the Crushing Mechanics of Thin-Walled Structures , 1983 .

[9]  O. Hopperstad,et al.  Static and dynamic crushing of square aluminium extrusions with aluminium foam filler , 2000 .

[10]  M. Zasada,et al.  Applying geostatistics for investigations of forest ecosystems using remote sensing imagery , 2005 .

[11]  Mark White,et al.  A theoretical analysis for the quasi-static axial crushing of top-hat and double-hat thin-walled sections , 1999 .

[12]  M. Zasada,et al.  Spatially Explicit Biomass Supply Sustainability Analysis for Bioenergy Mill Siting in Georgia, USA , 2011 .

[13]  Chris J. Cieszewski,et al.  Impacts of Management Intensity and Harvesting Practices on Long-term Forest Resource Sustainability in Georgia , 2009, Math. Comput. For. Nat. Resour. Sci..

[14]  M. Zasada,et al.  Assessment of Stream Management Zones and Road Beautifying Buffers in Georgia Based on Remote Sensing and Various Ground Inventory Data , 2009 .

[15]  Florian Siegert,et al.  Monitoring Fire and Selective Logging Activities in Tropical Peat Swamp Forests , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[16]  Gregory P. Asner,et al.  Tropical forest carbon assessment: integrating satellite and airborne mapping approaches , 2009 .

[17]  Michael Möller,et al.  A Variational Approach for Sharpening High Dimensional Images , 2012, SIAM J. Imaging Sci..

[18]  Jaewan Choi,et al.  Context-adaptive pansharpening algorithm for high-resolution satellite imagery , 2012 .

[19]  Jin-Jang Leou,et al.  Multispectral and multiresolution image fusion using particle swarm optimization , 2011, Multimedia Tools and Applications.

[20]  Xian Sun,et al.  Aircraft Recognition in High-Resolution Satellite Images Using Coarse-to-Fine Shape Prior , 2013, IEEE Geoscience and Remote Sensing Letters.

[21]  Miguel Delibes,et al.  Trends in the surface vegetation dynamics of the national parks of Spain as observed by satellite sensors , 2008 .

[22]  Tomasz Wierzbicki,et al.  A Note on Shear Effects in Progressive Crushing of Prismatic Tubes , 1986 .

[23]  Lars Eklundh,et al.  A new invasive insect in Sweden – Physokermes inopinatus: Tracing forest damage with satellite based remote sensing , 2012 .

[24]  Turgay Çelik,et al.  Image Resolution Enhancement Using Dual-Tree Complex Wavelet Transform , 2010, IEEE Geoscience and Remote Sensing Letters.

[25]  Johanne M. Pelletier,et al.  Traditional shifting agriculture: tracking forest carbon stock and biodiversity through time in western Panama , 2012 .

[26]  Yong Ge,et al.  Super-Resolution Reconstruction of Remote Sensing Images Using Multifractal Analysis , 2009, Sensors.

[27]  Jianglin Ma,et al.  Fully Automatic Subpixel Image Registration of Multiangle CHRIS/Proba Data , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[28]  M. Madden,et al.  Large area forest inventory using Landsat ETM+: A geostatistical approach , 2009 .

[29]  Gholamreza Anbarjafari,et al.  Satellite Image Resolution Enhancement Using Complex Wavelet Transform , 2010, IEEE Geoscience and Remote Sensing Letters.

[30]  W. Abramowicz,et al.  Transition from initial global bending to progressive buckling of tubes loaded statically and dynamically , 1997 .

[31]  I. Daliakopoulos,et al.  Tree Crown Detection on Multispectral VHR Satellite Imagery , 2009 .

[32]  Qingmin Meng,et al.  K Nearest Neighbor Method for Forest Inventory Using Remote Sensing Data , 2007 .

[33]  Wlodek Abramowicz.  An alternative formulation of the FE method for arbitrary discrete/continuous models , 2004 .

[34]  J. McKinley,et al.  The use of geoscience methods for terrestrial forensic searches , 2012 .

[35]  C. Cieszewski,et al.  Spatial regression modeling of tree height- diameter relationships , 2009 .

[36]  Abdul Ghafoor,et al.  Satellite Image Resolution Enhancement Using Dual-Tree Complex Wavelet Transform and Nonlocal Means , 2013, IEEE Geoscience and Remote Sensing Letters.

[37]  Zhi-ying Zhang,et al.  Remote sensing and spatial statistical analysis to predict the distribution of Oncomelania hupensis in the marshlands of China. , 2005, Acta tropica.