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    Radarsat1 ¿Ground Range to Slant Range?

    geo_track_pos
    By geo_track_pos,
    I need convert an image Radarsat 1 from Ground Range to Slant Range. No SR to GR! It can be done? What software to use? Bibliography? Regards

    image type for ENVI

    quaterz
    By quaterz,
    do you have the image types that are compatable with ENVI 4.7?

    Rendering Binary Shapefiles With JavaScript

    Lurker
    By Lurker,
    A Shapefile  is a commonly used binary format that stores geometric data such as lines, points and polygons along with attribute information that describes what that geometric data represents.  Despite the term “shapefile,” a shapefile is actually a set of several files, three of which are mandatory to store the data comprising a “shapefile”.  The first of these files is the .shp file, which stores the actual geometric data.  Another file, the .shx file, is an index file that allows seeking forw

    [AUSTRALIA]Research Fellow

    EmperoR
    By EmperoR,
    RESEARCH FELLOW - [hide] http://jobs. unimelb.edu. au/jobDetails. asp?sJobIDs= 666473 [/hide] Position no.: 0024248 Employment type: Full-time Fixed Term Campus: Parkville Department of Geomatics Melbourne School of Engineering Salary: $52,742 - $71,571 p.a. plus employer superannuation contributions of 17% The Australian Government has recently introduced a "Super Science Fellowship" scheme to attract and retain high quality early-career researchers from within Australia and aro

    Oil and Geology in Google Earth

    Lurker
    By Lurker,
    One issue with the current version of Google Earth is you can't show subsurface information. GE doesn't let you show data below its 3D rendered surface. So, for example, showing underground geological features, or wells for example. Valery Hronusov from Russia's Academy of Science in Perm, Russia has come up with an interesting innovation He has used KMLer  application to convert a GIS dataset showing an oil repository Google Earth File. You must have GE installed.  and related information. Hi

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    • Many scientists are interested in using interferometric synthetic aperture radar (InSAR) data to monitor the motion of Earth’s surface, but the analyses required can be complex, and the data are often challenging to work with. To simplify these analyses, the Jet Propulsion Laboratory (JPL) Observational Products for End-Users from Remote Sensing Analysis (OPERA) team has created an OPERA Surface Displacement (OPERA-DISP) dataset. This dataset provides InSAR-derived surface displacement measurements across most of North America and is now available via NASA’s Alaska Satellite Facility Distributed Active Archive Center (ASF DAAC). To support data users working with this product, ASF DAAC has also launched the ASF Displacement Portal — an open-source web interface that offers intuitive spatial browsing and direct exploration of the OPERA-DISP dataset. In this webinar, learn more about the OPERA-DISP product and the portal that enables its exploration. The OPERA-DISP solution is a deliverable of the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government dedicated to identifying and addressing Earth observation needs across U.S. civilian federal agencies. link:  
    • A Swiss Alpine village has been buried by a massive debris field after a glacier collapsed on a nearby mountain. Reuters reports that 90% of Blatten, Switzerland is engulfed by ice, mud, and rock after what scientists suspect is a dramatic display of the impact of climate change on mountain communities. "It’s critical to realize that we now have left the space of historical precedence and entered an era where we face new hazards from locations that have never been a problem in the past and where protection may be technically hardly possible or financially unfeasible," Christian Huggel, a professor of environment and climate at the University of Zurich, told USA TODAY via email. The community of 300 had been evacuated prior to the collapse of the Birch Glacier, but at least one 64-year-old man is still missing. Police suspended search efforts on May 29 citing instability in the debris. Making matters worse for the already devastated area, Reuters reports that a river blocked by glacial debris is raising the possibility of flooding and additional evacuations. The below video, satellite images, maps and photos show how the disaster unfolded.   https://www.youtube-nocookie.com/embed/qHIbZCL2oEM?si=ZMv4QQKPEBayn2dE  
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    • The Joint Agency Commercial Imagery Evaluation (JACIE) Earth Observing Satellites Online Compendium contains details about past, present and future Earth observing satellites and the sensors they carry.   Derived from print versions of Compendiums published in 2019, 2020, and 2022, this resource has been developed and is managed by the Requirements, Capabilities and Analysis for Earth Observation (RCA-EO) team at the USGS Earth Resources Observation and Science (EROS) Center in Sioux Falls, South Dakota. The Joint Agency Commercial Imagery Evaluation (JACIE) Earth Observing Satellites Online Compendium is derived from three print versions published in 2019, 2020, and 2022. This compendium provides detailed information on past, current and future land remote sensing satellites and their sensors. The data will be updated regularly as new satellites are launched into space. Visit this USGS webpage for more information on using the compendium. Comments, corrections, and further information on systems for inclusion in this compendium are welcomed and can be sent to [email protected]. The print and online compendia are developed by staff supporting the Requirements, Capabilities and Analysis for Earth Observation (RCA-EO) and the EROS Cal/Val Center of Excellence (ECCOE) projects at U.S. Geological Survey’s Earth Resources Observation and Science (EROS) Center and is done in conjunction with the multi-agency JACIE consortium. The content of the Compendium is updated weekly. The overall application was last updated February 2024. Please use this suggested citation when referencing the Compendium: Kropuenske, T., Clauson, J., Shaw, J., Vrabel, J., Ali, M., Ranjitkar, B., Rusten, T., and Anderson, C., 2024, Earth Observing Sensing Satellites Online Compendium: U.S. Geological Survey digital data, https://calval.cr.usgs.gov/apps/compendium. source: https://calval.cr.usgs.gov/apps/compendium  
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