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#hyperspectral — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #hyperspectral, aggregated by home.social.

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  1. Comparing DESIS Hyperspectral and Landsat 10 Simulated Superspectral Data for Crop Type Classification in California’s Central Valley
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    doi.org/10.3390/rs18142282 <-- shared paper
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    usgs.gov/publications/comparin <-- shared USGs publication page
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    H/T @USGS
    “How can we get better at classifying crops from space? 🛰️🌽
    Some types of satellite imagery are better at distinguishing crops than others. A USGS study compared two approaches and found one produced more accurate crop maps.
    Here's what the researchers found:
    • Hyperspectral imagery achieved 86% accuracy, compared to 75% for simulated superspectral imagery.
    • Using just 14 carefully selected hyperspectral bands produced nearly the same results as using all 60 DLR Earth Sensing Imaging Spectrometer (DESIS) bands, showing those wavelengths contain much of the information needed to distinguish crop types.
    • Using superspectral imagery on the upcoming Landsat 10 mission will allow for routine tracking of crops and enhance finer crop mapping.
    • The findings help scientists identify which wavelengths provide the most useful information for crop mapping and future remote sensing applications.
    Better crop maps will help governments and scientists track global agriculture, monitor the current crop season, and study agricultural trends…”
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    “HIGHLIGHTS:
    • What are the main findings?
    - The 14 DESIS hyperspectral narrowbands (10 nm) aligned with the Landsat 10 (formerly Landsat Next) spectral dataset produced similar accuracy results to the full 60-band DESIS hyperspectral dataset for classifying crop types. These 14 DESIS narrowbands resulted in higher accuracy than the 14 simulated Landsat 10 superspectral broadbands.
    - When using DESIS narrowbands, Support Vector Machine (SVM) resulted in higher accuracy than Random Forest (RF).
    • What are the implications of the main findings?
    - A carefully selected set of 14 DESIS hyperspectral narrowbands (10 nm) can achieve classification accuracy comparable to those obtained using all 60 DESIS narrowbands across the 400–1000 nm range. These 14 strategically positioned narrowbands classified crop types with higher classification accuracy than the corresponding 14 Landsat 10 superspectral broadbands within the same spectral range.
    - This study underscores the importance of multi-temporal imagery across the full crop-growing season for achieving more detailed and accurate crop type classifications. Such temporal coverage is more feasible with the planned Landsat 10 routine acquisition of broadband imagery than with task-based hyperspectral collections…”
    #hyperspectral #superspectral #optimalbands #randomforest #supportvectormachine #agriculture #crops #croptype #classifaction #croplands #California #CentralValley #GIS #spatial #mapping #remotesensing #earthobservation #imagery #DESIS #Landsat #Landsat10 #satellite #spatialanalysis #spatiotemporal #global #AI #machinelearning #model #modeling #SupportVectorMachine #SVM #RandomForest #RF #GoogleEarthEngine
    @USGS

  2. PhD: Decoding #Medieval #Manuscripts with AI & Light Deadline: June 15 Joint project between the UK (NTU) & Belgium (UNamur) Develop an AI-driven, non-invasive workflow using #Hyperspectral Imaging and #OCT to identify species, manufacturing and degradation. www.findaphd.com/phds/project...

    An AI -aided data-driven appro...

  3. Earth MRI Acquisitions Viewer [#USGS]
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    ngmdb.usgs.gov/emri/ <-- shared online mapping resource
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    usgs.gov/special-topics/earth- <-- shared #USGS #EarthMRI home page
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    [wonderful #USGS #fedscience work!]
    "Earth MRI is modernizing mapping of the Nation's surface and subsurface. We deliver high-quality data needed to understand our Nation's geology, find new critical and other mineral resources, and inform decisions about how the Nation will meet its evolving needs..."
    #criticalminerals #criticalmineralsdata #hyperspectral #geologicmapping #resourceassessments #GIS #spatial #mapping #geology #opendata #minerals #mining #technology #EarthMRI #MRI #MappingResourceInitiative
    @USGS

  4. Not sure where this is - anyone? - but it's a spectacular #hyperspectral image from #Wyrvern. They're an #Edmonton satellite company!
    Sample images for download here opendata.wyvern.space

  5. Set Phone to… Hyperspectral - While our eyes are miraculous little devices, they aren’t very sensitive outside o... - hackaday.com/2025/09/26/set-ph #hyperspectral #calibration #phonehacks #science

  6. 🌍 SpectralEarth-MM is #EvoLand’s step towards a foundation model for multi-sensor #landcover monitoring fusing #hyperspectral, multispectral, & radar inputs.

    🚜 The model is being trained on a robust, multi-sensor benchmark dataset, combining data from EnMAP, Sentinel-1/2, and Landsat-8.

    🔬 Based on a vision transformer and self-supervised learning, it’s designed to be flexible, scalable, and task-agnostic.

    📖 Read more: evo-land.eu/spectralearth-mm-t

    #Copernicus

    @EU_HaDEA @euenvironment @DLR @cnes

  7. Get ready to elevate your science, expand your network, and celebrate excellence! The 44th Annual Technical Conference of the #NABG is heading to the stunning Rocky Mountains of Golden, Colorado, from September 3–6, 2025. This year’s conference promises a dynamic gathering of geoscience professionals, students, and allies committed to advancing innovation and collaboration in the Earth sciences. Whether you're presenting groundbreaking research, connecting with mentors, or exploring career opportunities, this is the event you don’t want to miss! Please check nabg-us.org for updates.

    #NABG44 #blackingeoscience #blackinSTEM #CSM #STEM #geology #hydrology #geoscience #hyperspectral #remotesensing #energy #earthscience

  8. A Seattle-area venture called #Xplore shows off #hyperspectral imagery of an Arizona river, Uzbek farmland and a settlement in Inner Mongolia - all captured by its first satellite, a shoebox-sized spacecraft called #XCUBE1. geekwire.com/2025/xplore-color #Space

  9. A new paper about a simple, open-source #hyperspectral imager using "off-the-shelf components and 3D printed parts, costing around £350 in total".

    bmcbiol.biomedcentral.com/arti

    #Imaging #ALAN #LightPollution

  10. We got a #paper out! We demonstrate that you can retrieve **all** of PROSAIL #RadiativeTransfer model parameters from #timeseries of #Sentinel2 #reflectance. You can then even explain ~90% of the full #Hyperspectral data. At least over #crops doi.org/10.1016/j.rse.2024.114