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    NASA Advanced Rapid Imaging Satellite Maps Blast Damage: Beirut Explosion Aftermath

    By Lurker,
    NASA’s ARIA team, in collaboration with the Earth Observatory of Singapore, used satellite data to map the extent of likely damage following a massive explosion in Beirut. Dark red pixels represent the most severe damage. Areas in orange are moderately damaged, and areas in yellow are likely to have sustained somewhat less damage. Each colored pixel represents an area of 30 meters (33 yards). The map contains modified Copernicus Sentinel data processed by ESA (European Space Agency) and analyzed

    China launches new optical remote-sensing satellite

    By Lurker,
    A Long March-2D carrier rocket, carrying the Gaofen-9 04 satellite, is launched from the Jiuquan Satellite Launch Center in northwest China, Aug. 6, 2020. China successfully launched a new optical remote-sensing satellite from the Jiuquan Satellite Launch Center at 12:01 p.m. Thursday (Beijing Time). (Photo by Wang Jiangbo/Xinhua) JIUQUAN, Aug. 6 (Xinhua) -- China successfully launched a new optical remote-sensing satellite from the Jiuquan Satellite Launch Center in northwest China at 12:0

    3D simulation

    By iron1maiden,
    The video shows a landslide analysis of Tersun Dam simulated with FLOW-3D. For more examples of how FLOW-3D can be used to analyze the catastrophic events. A fully 3D simulation was performed in the vicinity of the breach to capture the complex 3D hydraulic conditions. https://www.youtube.com/watch?time_continue=3&v=f9QzOn0vxpc&feature=emb_title          

    Canadian ice caps disappear, confirming 2017 scientific prediction

    By Lurker,
    The St. Patrick Bay ice caps on the Hazen Plateau of northeastern Ellesmere Island in Nunavut, Canada, have disappeared, according to NASA satellite imagery. National Snow and Ice Data Center (NSIDC) scientists and colleagues predicted via a 2017 paper in The Cryosphere that the ice caps would melt out completely within the next five years, and recent images from NASA's Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) have confirmed that this prediction was accurate. M

    Latest satellite images show situation far from normal at Ladakh's Pangong Tso

    By Lurker,
    Despite the controversy related to China-India border, this articles show us the importance of Remote Sensing as a strategic tools on Politic and Military      The recent deaths of at least 20 soldiers along the contested border at Ladakh between India and China represents the largest loss of life from a skirmish between the two countries since the clashes in 1967 that left hundreds dead. It also highlights the tensions that have been building along the Line of Actual

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    • anyone knows the exact price for original license ENVI? how much in USD?
    • Interesting update!  I see they introduced IDL for VSCode as well, also an 'IDL Notebook'. I will give these new tools some time to mature before a proper test drive.  
    • Medicine of Envi 6 please!!!! 😇
    • Added support for data types: GRUS L1C, L2A - Axelspace micro-earth observation satellite ISIS3 - USGS Astrogeology ISIS Cube, Version 3 PDS4 -NASA Planetary Data System, Version 4 New Spectral Hourglass Workflow and N-Dimensional Visualizer   New Target Detection Workflow The Target Detection Workflow has been added to this release. Use the Target Detection Workflow to locate objects within hyperspectral or multispectral images that match the signatures of in-scene regions. The targets may be a material or mineral of interest, or man-made objects. New Dynamic Band Selection tool New Material Identification tool Updated and improved Endmember Collection tool New and updated ENVI Toolbox tools The following tools have been updated to use new ENVI Tasks: Adaptive Coherence Estimator Classification: A classification method derived from the Generalized Likelihood Ratio (GLR) approach. The ACE is invariant to relative scaling of input spectra and has a Constant False Alarm Rate (CFAR) with respect to such scaling. Constrained Energy Minimization Classification: A classification method that uses a specific constraint, CEM uses a finite impulse response (FIR) filter to pass through the desired target while minimizing its output energy resulting from a background other than the desired targets. Classification Smoothing: Removes speckling noise from a classification image. It uses majority analysis to change spurious pixels within a large single class to that class. Forward Minimum Noise Fraction: Performs a minimum noise fraction (MNF) transform to determine the inherent dimensionality of image data, to segregate noise in the data, and to reduce the computational requirements for subsequent processing. Inverse Minimum Noise Fraction: Transforms the bands from a previous Forward Minimum Noise Fraction to their original data space. Orthogonal Subspace Projection Classification: This classification method first designs an orthogonal subspace projector to eliminate the response of non-targets, then Matched Filter is applied to match the desired target from the data. Parallelepiped Classification: Performs a parallelepiped supervised classification which uses a simple decision rule to classify multispectral data. Spectral Information Divergence Classification: A spectral classification method that uses a divergence measure to match pixels to reference spectra. New and updated ENVI Tasks You can use these new ENVI Tasks to perform data-processing operations in your own ENVI+IDL programs: ConstrainedEnergyMinimization: Performs the Constrained Energy Minimization (CEM) target analysis. InverseMNFTransform: Transforms the bands from a previous Forward Minimum Noise Fraction to their original data space. MixtureTunedRuleRasterClassification: Applies threshold and infeasibility values and performs classification on mixture tuned rule raster. MixtureTunedTargetConstrainedInterferenceMinimizedFilter: Performs the Mixture Tuned Target-Constrained Interference-Minimized Filter (MTTCIMF) target analysis. NormalizedEuclideanDistanceClassification: Performs a Normalized Euclidean Distance (NED) supervised classification. OrthogonalSubspaceProjection: Performs the Orthogonal Subspace Projection (OSP) target analysis. ParallelepipedClassification: This task performs a parallelepiped supervised classification which uses a simple decision rule to classify multispectral data. RuleRasterClassification: Creates a classification raster by thresholding on each band of the raster. SpectralInformationDivergenceClassification: Performs the Spectral Information Divergence (SID) classification. SpectralSimilarityMapperClassification: Performs a Spectral Similarity Mapper (SSM) supervised classification. TargetConstrainedInterferenceMinimizedFilter: Performs the Target-Constrained Interference-Minimized Filter (TCIMF) target analysis. ENVI performance improvements   NITF updates Merged ENVI Crop Science Module into ENVI Enhanced support for ENVI Connect also you may check this presentation: https://www.nv5geospatialsoftware.com/Portals/0/pdfs/envi-6.0-idl-9.0-redefining-image-analysis-webinar.pdf  
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