Gridded Satellite (GridSat) GOES and CONUS data

Flash Flooding Area Prediction by GOES-9 Satellite Data

In this study, a new geocomputing index called the Rain Exposure Index (REI) is proposed. REI can be used for flash flooding prediction due to heavy rainfall accumulation. The index was constructed by computing data from GOES-9 satellite images using combinations of image processing and functional constructs. Water vapour data from GOES-9 satellites were collected from 1 January 20 September, 2...

Impact of Gridded Surface Wind/wind-stress Data Set Constructed by Satellite Scatterometer Data

GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITE (GOES) Telemetry and Communications

The GOES satellites are multifunctional satellites whose primary function is to provide continuous measurements of the earth’s surface and atmosphere from two geostationary orbit locations: 75EW and 135EW. This objective is accomplished with the Visible infrared spin scan radiometer Atmospheric Sounder (VAS). The atmospheric sounder is a new feature which will add a third dimension to the photo...

Determining the tropopause height from gridded data

[1] A method is presented to determine tropopause height from gridded temperature data with coarse vertical resolution. The algorithm uses a thermal definition of the tropopause, which is based on the concept of a ‘‘threshold lapse-rate’’. Interpolation is performed to identify the pressure at which this threshold is reached and maintained for a prescribed vertical distance. The method is verif...

Extraction of Polygonal Information from Gridded Data

Rectangularly sampled, or gridded, spatial data such as classified LANDSAT imagery and Digital Terrain Models (DTM's), are increasingly ubiquitous sources of cartographic information. For environmental analysis, gridded data must be related to point, line, and polygon descriptions of phenomena, such as highway networks and soil zones. In combining such disparate forms of data, analysts must con...