Name
Title | ||
|---|---|---|
New Fast Detection Method Of Forest Fire Monitoring And Application Based On Fy-1d/Mvisr Data |
Abstract | ||
|---|---|---|
In this paper, the authors proposed a new work and process flow algorithm about remote sensing image data to forest fire identification and monitoring, which was greatly different with the traditional approaches. Therefore, a more useful context method was used to detect forest fire spots, banes on statistic rationale, meanwhile the cloud-contaminated pixels were rejected (if any) and the misjudged fire spots excluded by examination of NDVIs before and after forest fires occurred; moreover, a simpler and more resultful approach was used to earth-locate forest fire spots, and a forest-fire sub-pixel area situation was taken into account so as to evaluate forest-fire area and enhance accuracy of evaluated forest fire areas. Subsequently, a FFDM prototype system was designed and developed and later tested using the typical FY-1D/MVISR data, performance and running efficiency of which were practically greater than the normal mainstream software systems (e.g. ENVI) in this domain. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-0-387-77251-6_67 | COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE, VOL 1 |
Keywords | Field | DocType |
FY-1D/MVISR, radiance, vegetation index, geo-referance, workflow | Iterative reconstruction,Statistic,Vegetation Index,Computer science,Remote sensing,Software system,Pixel,Deforestation,Workflow,Radiance | Conference |
Volume | Issue | ISSN |
258 | null | 1571-5736 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianzhong Feng | 1 | 1 | 1.05 |
| Huajun Tang | 2 | 3 | 2.07 |
| Linyan Bai | 3 | 7 | 6.31 |
| Qingbo Zhou | 4 | 52 | 14.55 |
| Zhongxin Chen | 5 | 67 | 18.05 |