ABR’s remote sensing experts work with a diverse array of imagery and other remote-sensing products, and are adept at a variety of tasks from acquisition and calibration, to analysis and visualization. We use ArcGIS, ENVI, and IDL as well as open source software Python, GDAL, R, PostgreSQL, and PostGIS to develop algorithms and process large volumes of data. ABR maintains powerful workstations, has robust server and networking capacity, and can leverage cloud computing capabilities for massive processing jobs. Our experience includes:
- landscape change detection, such as mapping coastal erosion (https://westernalaskalcc.org/projects/SitePages/WA2013_24.aspx)
- determining snow persistence (https://irma.nps.gov/App/Reference/Profile/2203863)
- time-series analysis of vegetation biomass (NDVI) and snow cover for caribou and waterfowl habitat use studies
- vegetation, ecotype and soils mapping and modeling
- imagery processing, classification, and extraction from sources including satellites (e.g., Landsat, WorldView, GeoEye, QuickBird, Ikonos, Pleiades, SPOT, ASTER, MODIS, and AVHRR), airborne and terrestrial lidar, and aerial and UAV photography
- project of the Year, 2011 Alaska Surveying and Mapping Conference. A Surface Reflectance Calibrated Landsat Mosaic (circa 2002) for the Arctic Network of National Parks, NRTR 2010/393
ABR's triple bottom line: "Environmental stewardship, social responsibility, and economic viability"