Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Forest fire risk zone evaluation based on high spatial resolution RS image in Liangyungang Huaguo Mountain Scenic Spot

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xiangwei Gao ; Sch. of Geodesy & Geomatics Eng., HuaiHai Inst. of Technol., Lianyungang, China ; Xianyun Fei ; Hongquan Xie

Forest fire forecast synthesizes the main weather factors, geography, and degree of wet fuel, fuel types and characteristics of fire source to analyze and predict the forest fuel risk. All fire risk factors were divided into two kinds including stable and changeable factors. In this paper, Huaguo Mountain Scenic Spot in Liangyungang is choosed as study region. Stable fire risk factors, including topography and fuel types were used for forest zone evaluation. Using 10cm Aerial images, based on Forestry Resources surveying, this paper obtained the forestry vegetation type location and their characteristics such as tree height, breast-height diameter, leaves height, and canopy density. In the same time, the digital DEM and various geography factors such as elevation, slope, slope aspect, slope position was obtained by GIS. Based on these geography and fuel types characteristics the study region fire risk zone were divided using clustering analysis. Each fire risk zone has relative conformity in the geography and fuel types and its fire risk rating changing with weather and characteristics of fire source were modelled by Fuzzy multi-level synthetic evaluation. By fire risk zone, short time fire (24 hours) and high spatial resolution forecast would be realized, through further study in the similar region.

Published in:

Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on

Date of Conference:

June 29 2011-July 1 2011