contributor author | Weaver, John F. | |
contributor author | Lindsey, Dan | |
contributor author | Bikos, Dan | |
contributor author | Schmidt, Chris C. | |
contributor author | Prins, Elaine | |
date accessioned | 2017-06-09T15:05:51Z | |
date available | 2017-06-09T15:05:51Z | |
date copyright | 2004/06/01 | |
date issued | 2004 | |
identifier issn | 0882-8156 | |
identifier other | ams-3426.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4172023 | |
description abstract | This paper demonstrates the proper use of geostationary satellite imagery in wildland fire detection. The roles of both the visible and the 3.9-?m channels are emphasized. Case studies from June 2002 are presented to illustrate techniques that can be utilized in both the detection and short-range forecasting processes. The examples demonstrate that, when utilized correctly, the sensitivity of the shortwave infrared channel to subpixel heat sources can often result in detections that match the timelines of human observations. Finally, a derived satellite product that increases the detection rate of wildland fires from space is described. | |
publisher | American Meteorological Society | |
title | Fire Detection Using GOES Rapid Scan Imagery | |
type | Journal Paper | |
journal volume | 19 | |
journal issue | 3 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/1520-0434(2004)019<0496:FDUGRS>2.0.CO;2 | |
journal fristpage | 496 | |
journal lastpage | 510 | |
tree | Weather and Forecasting:;2004:;volume( 019 ):;issue: 003 | |
contenttype | Fulltext | |