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Soil Erosion Analysis Of The Monroe County’S Watersheds In Indiana, Danielli De Melo Moura, Jie Shan
Soil Erosion Analysis Of The Monroe County’S Watersheds In Indiana, Danielli De Melo Moura, Jie Shan
Purdue GIS Day
This study was carried out to spatially predict the amount of soil loss (tons/ha/year ) of Monroe County’s watersheds using Geographic Information System (GIS). Revised Universal Soil Loss Equation (RUSLE) was used to estimate potential soil losses by using information such as rainfall data for calculating the rainfall erosivity (R) , soil map for calculating the soil erodibility (K), digital elevation model for obtaining the topography factor (LS) and vegetation/cropland cover for calculating the cover management factor (C) and support practice factor (P). The result of the analysis depicted that the soil loss rate in Moroe’s watersheds ranges from 0 …
An Extensible Geospatial Data Framework (Geoedf) For Fair Science, Carol Song, Rajesh Kalyanam, Lan Zhao
An Extensible Geospatial Data Framework (Geoedf) For Fair Science, Carol Song, Rajesh Kalyanam, Lan Zhao
Purdue GIS Day
The growing urgency in dealing with the 21st century’s grand challenges associated with increasing population, food and water security, frequently occurring natural disasters, and changing climate demands innovative, collaborative, and multidisciplinary solutions for sustainability and resilience. However, scientific data, especially geospatial data, presents significant barriers to the effective access, use and sharing of data as they come in large volumes, from different sources, and with widely varying formats, resolutions, or annotation schemas that can differ among disciplines or even research groups. This presentation describes a recently funded NSF CSSI project to develop an open source, extensible geospatial data framework (GeoEDF), …