Published March 18, 2014 | Version v1
Journal article

A positioning system for forest diseases and pests based on GIS and PTZ camera

  • 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094 (China)
  • 2. Information Center,Well Testing and Perforating Services of Daqing Oilfield Company Limited, Daqing, 163312 (China)

Description

Forest diseases and pests cause enormous economic losses and ecological damage every year in China. To prevent and control forest diseases and pests, the key is to get accurate information timely. In order to improve monitoring coverage rate and economize on manpower, a cooperative investigation model for forest diseases and pests is put forward. It is composed of video positioning system and manual labor reconnaissance with mobile GIS embedded in PDA. Video system is used to scan the disaster area, and is particularly effective on where trees are withered. Forest diseases prevention and control workers can check disaster area with PDA system. To support this investigation model, we developed a positioning algorithm and a positioning system. The positioning algorithm is based on DEM and PTZ camera. Moreover, the algorithm accuracy is validated. The software consists of 3D GIS subsystem, 2D GIS subsystem, video control subsystem and disaster positioning subsystem. 3D GIS subsystem makes positioning visual, and practically easy to operate. 2D GIS subsystem can output disaster thematic map. Video control subsystem can change Pan/Tilt/Zoom of a digital camera remotely, to focus on the suspected area. Disaster positioning subsystem implements the positioning algorithm. It is proved that the positioning system can observe forest diseases and pests in practical application for forest departments

Availability note (English)

Available from http://dx.doi.org/10.1088/1755-1315/17/1/012254

Additional details

Publishing Information

Journal Title
IOP Conference Series: Earth and Environmental Science (EES)
Journal Volume
17
Journal Issue
1
Journal Page Range
[6 p.]
ISSN
1755-1315

Conference

Title
35. international symposium on remote sensing of environment
Acronym
ISRSE35
Dates
22-26 Apr 2013
Place
Beijing (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47054908
Subject category
S54: ENVIRONMENTAL SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ACCURACY; ALGORITHMS; CAMERAS; CHINA; COMPUTER CODES; CONTROL; DAMAGE; DISEASES; ENVIRONMENTAL IMPACTS; FORESTS; GEOGRAPHIC INFORMATION SYSTEMS; LOSSES; MONITORING; NATURAL DISASTERS; POSITIONING; SUPPORTS; TREES
Descriptors DEC
ASIA; INFORMATION SYSTEMS; MATHEMATICAL LOGIC; MECHANICAL STRUCTURES; PLANTS