Research Applications
NebraskaView is working with the Nebraska GIS Steering Committee to identify high priority issues that can be addressed through remote sensing. We will demonstrate remote sensing applications using products derived from both ongoing CALMIT research and via new research projects with AmericaView partners.
Fact Sheets
Crop Hail Damage Assessment
False color composite image of soybean plots subjected to an artificial hailstorm |
This project demonstrated that commercially available imagery and image processing software tools could be used to detect and locate the relative level of hail damage in cropped areas. Landsat TM imagery was identified as a very useful tool for preplanning hail-damage assessment operations in a severe storm situation. |
Remote-Sensing of Carbon Exchange
Field scale measurements |
This project evaluated the utility of high-resolution airborne multispectral imagery as an aide to an empirical and simple crop-growth / yield-estimation model. It was shown that timely airborne (or satellite) imagery obtained during the grain fill stage of plant growth is moderately well correlated to grain yield. The usefulness of the imagery is greatest in delineating the relative condition of corn or soybeans in large fields .
|
Vegetation index and yield maps of cornfields in Hamilton County, NE |
This project evaluated the utility of high-resolution airborne multispectral imagery as an aide to an empirical and simple crop-growth / yield-estimation model. It was shown that timely airborne (or satellite) imagery obtained during the grain fill stage of plant growth is moderately well correlated to grain yield. The usefulness of the imagery is greatest in delineating the relative condition of corn or soybeans in large fields . |
Example of 1997 land cover classification
for the Central Platte River Basin |
The Cooperative Hydrology Study (COHYST) is a multi-agency project intended to improve understanding of hydrological conditions in the Platte River. COHYST involves assemblage and creation of numerous geospatial data layers to be used in modeling and development of a water resources decision support system (DSS). A critical data layer required for the DSS is a detailed and accurate map of land use. By capitalizing on the seasonal dynamics of the agricultural crops and native plant communities, accurate land cover and land use were mapped using Landsat satellite imagery for three different years: 1982, 1997 and 2001.
|
