DocumentCode
142711
Title
Forest resources annual dynamic monitoring based on high resolution remote sensing data
Author
Shi Jingjing ; Zhang Yuxing ; Xia Chaozong
Author_Institution
Acad. of Forest Inventory & Planning, State Forestry Adm., Beijing, China
fYear
2014
fDate
13-18 July 2014
Firstpage
749
Lastpage
752
Abstract
In order to trace and identify the achievements of forest resources protection and development in China, the system of forest resources monitoring was built up to annually collect the forest information base on high-resolution data. The measurement analysis of forest resource was done in the 41 key counties. High-resolution SPOT5 images, RapidEye and other high-resolution remote sensing data had been handled through processes of orthorectified, image synthesis, data integration, enhancement processing, basic geographic information overlay, framing and cutting, etc., forming thematic imaging products for technical studies. The results show that there were information superiority for high-resolution satellite data in zoning interpretation and identification of forest type.
Keywords
data integration; remote sensing; vegetation mapping; China; RapidEye; basic geographic information cutting process; basic geographic information framing process; basic geographic information overlay process; data integration process; enhancement processing process; forest information; forest resource annual dynamic monitoring; forest resource development achievement; forest resource development identification; forest resource measurement analysis; forest resource monitoring system; forest resource protection achievement; forest resource protection identification; forest type identification; high-resolution SPOT5 image; high-resolution remote sensing data; high-resolution satellite data information superiority; image synthesis process; orthorectified process; thematic imaging product; zoning interpretation; Correlation; Dynamic scheduling; Forestry; Monitoring; Planning; Remote sensing; Satellites; Forest monitoring; High-resolution data;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6946532
Filename
6946532
Link To Document