Catchman© is an Artificial Intelligence application built using geospatial technologies to deliver stream morphometry metrics for river catchments worldwide. Numerous peer-reviewed University studies around the world over the last ten years have demonstrated the efficacy of integrating remote sensing and GIS as a powerful tool for the evaluation of watershed morphometric parameters. Morphometric analysis helps decision-makers understand several characteristics of a basin, such as underlying lithology, infiltration capacity, runoff, basin shape, and size. Catchmans approach is different in that it seeks to devolve stream morphometry principles down to micro catchment scale. At this scale, it can act as a decision support tool for a much larger The impact of Kamagra normally endures around cialis generic pharmacy four hours, yet it likewise relies on upon different elements. But all these capsules and pills are harmful for health. commander viagra Even the simplest of long distance relocations can be stressful, so it’s important to work with a quality professional interstate moving company. purchase cheap cialis https://unica-web.com/COMMITTEE/dave-watterson-en.html Out of the first purchase viagra online https://www.unica-web.com/ENGLISH/2019/presidents-letter-may2019.html thousand links shown by the site explorer for any of the top ranking websites, at least eighty percent are clearly paid advertising spaces. population of stakeholders, such as small-scale farm holdings.
Another feature of Catchman© is its extensibility due to the eloquence of its underlying multi-dimensional data model. This data architecture enables external data sets such as the Global Ecosystem Mapping products to be absorbed into the tool. Global Ecosystem Mapping (GEM) products were built for the Group on Earth Observations (GEO) by the USGS/Esri. GEO is a partnership of more than 100 national governments and over 100 Participating Organizations that envisions a future where decisions and actions for humankind’s benefit are informed by coordinated, comprehensive, and sustained Earth observations. The USGS made these GEM data products available as huge raster GIS images (TIFF). Each pixel in these images represents an ecological land unit (ELUs) which is one of ~4000 unique classes (units) based on the combinations of the three parameters of morphogenetic regions , geology and vegetation type e.g. “Warm Wet Plains on Unconsolidated Sediment with Swampy or Often Flooded Vegetation”.
You can download a copy of our Catchman Application Guide pdf here.
