Resources

 

 

Newsletter

The twenty-first edition of the Remote Sensing and Photogrammetry Newsletter has now been published and can be viewed by clicking here


Publications

Open Access Journals

Members' Journal

  • Journal of Spatial Sciences is a bi-annual publication, published in March and September each year. This Journal is available on-line as part of SSSI membership. 
  • Journal of Spatial Sciences - The professional papers regularly describe aspects of practice and implementation of techniques relating to cartography. Geographic information science. https://sssi.org.au/knowledge-hub/body-of-knowledge/journal-of-spatial-science

Journals (full access)

Conference Proceedings

Conference Reports by Members


LEARNING RESOURCES AND WEBINARS

 

Webinars

Short Courses

  • Coursera provides access to the internatinal education provders, partnering with universities and organisations to offer courses online: https://www.coursera.org 
  • Open University Australia - Browse hundreds of courses from Australian universities and study online to gain qualifications that are the same as on-campus.  https://www.open.edu.au

Available (as at July 2019)


FREE DATA, SOFTWARE AND LIBRARIES

 

Open Data National Providers

Open Data International Providers

  • USGS Earth Explore - Everything from historical airborne images to SAR, Landsat and Radar images are available. While the focus is on the US, international datasets are available, too.  https://earthexplorer.usgs.gov/
  • Google Earth Engine - Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.  https://earthengine.google.com/
  • Sentinels Scientific Data Hub - This hub is the official download headquarters for the European Space Agency’s Sentinel satellite data and offers Sentinel-1, 2a and 2b imagery.  https://scihub.copernicus.eu/dhus/ 
  • NOAA CLASS -  NOAA uses an online library system called the Comprehensive Large Array-data Stewardship System (CLASS) to store a plethora of environmental data. Data comes from the US Department of Defense (DoD) Polar-orbiting Operational Environmental Satellite (POES), NOAA’s Geostationary Operational Environmental Satellite (GOES), and other derived data. https://www.avl.class.noaa.gov/saa/products/welcome;jsessionid=1563B13C7CB431E62498A9CCBD4C24EE
  •  NASA Earthdata Search - Large choices of satellite data including Aqua, Terra, Aura, TRMM, CALIPSO, NASA DC, ENVISAT, METEOSAT, GOES, Landsat, SMAP, MERRA, Nimbus, Suomi-NPP, NOAA satellites, GPS satellites, and more… https://search.earthdata.nasa.gov/
  • ESA Online Dissemination - This is the European Space Agency’s client for Earth Observation Catalog and Ordering Services. https://esar-ds.eo.esa.int/oads/access/
  • National Institute for Space Research (INPE) - The partnership between Brazil and China has their own image catalog of remotely-sensed data which lets you download free satellite imagery using the INPE Image Catalog. http://www.dgi.inpe.br/CDSR/
  • Bhuvan Indian Geo-Platform of ISRO - The platform is well-built but most of the data is for India only. This includes IMS-1 (Hyperspectral), Cartosat, OceanSat and ResourceSat – which are all Indian satellites. https://bhuvan-app3.nrsc.gov.in/data/download/index.php
  • JAXA’s Global ALOS 3D World - 30-meter spatial resolution digital surface model (DSM) constructed by the Japan Aerospace Exploration Agency’s (JAXA). https://www.eorc.jaxa.jp/ALOS/en/aw3d30/
  • VITO Vision – Coarse Vegetation Data - This website offers PROBA-V, SPOT-Vegetation and METOP free satellite imagery. These coarse resolution satellites carves out vegetation patterns of the Earth’s surface. http://www.vito-eodata.be/PDF/portal/Application.html#Home
  • NOAA Digital Coast - Access to benthic, elevation, imagery, land cover and socio-economic data. You get a range of free satellite imagery to choose from such as radar, infrared and true color composites. https://coast.noaa.gov/digitalcoast/
  • DigitalGlobe Free Product Samples - If you want to play with some of the sharpest satellite data in the world, these free satellite imagery samples are just for you. http://www.digitalglobe.com/
  • Geo-Airbus - The Geo Airbus Defense System is your provider for SPOT, Pleiades, RapidEye and TerraSAR data. http://www.geo-airbusds.com/en/23-sample-imagery
  • UNAVCO Research Data - University NAVSTAR Consortium (UNAVCO) is an organization of universities who support scientific research using geodesy technology e.g. flooding, plate tectonics, earthquakes. https://www.unavco.org/data/sar/sar.html
  • ISPRS data collection - LArge collection of different datasets ranging from Close-range images to aerial and satellite images to GIS data such as CityGML.  https://www.isprs.org/data/default.aspx
  • Computer Vision Test Images - Large catellouge of images used for benchmarking in the Computer Vision field. http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/v-images.html
  • Vision and Autonomous Systems Center's Image Database - Datasets from face and facial expressions to motion data. http://www.cs.cmu.edu/afs/cs/project/vision/vasc/idb/www/html_permanent/index.html

Open Software

  • Orfeo toolbox - Orfeo ToolBox (OTB) is an open-source project for state-of-the-art remote sensing. https://www.orfeo-toolbox.org/
  • GIMP - GIMP is a cross-platform image editor available for GNU/Linux, OS X, Windows and more operating systems. It is free software, you can change its source code and distribute your changes. https://www.gimp.org/
  • QGIS - Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD https://qgis.org/en/site/
  • MICMAC
  • COLMAP
  • VisualSFM

Open Libraries

  • Open CV 
  • AForge.NET/Accord.NET
  • TensorFlow
  • CUDA
  • SimpleCV
  • scikit Image
  • Numpy
  • Scipy
  • PIL( Python Imaging Library)
  • Mahotas
  • SimpleITK
  • Pgmagick
  • Pycairo
  • SOD CV library

Overviews are provided here: Towards Data Science https://towardsdatascience.com/image-manipulation-tools-for-python-6eb0908ed61f


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