| Main Title |
Real time deforestation detection using ANN and Satellite images The Amazon Rainforest study case / [electronic resource] : |
| Type |
EBOOK |
| Author |
Nunes Kehl, Thiago.
|
| Other Authors |
|
| Publisher |
Springer International Publishing : Imprint: Springer, |
| Year Published |
2015 |
| Call Number |
######## |
| ISBN |
9783319157412 |
| Subjects |
Geography ;
Remote sensing ;
Artificial intelligence
|
| Internet Access |
|
| Collation |
X, 67 p. 25 illus., 21 illus. in color. online resource. |
| Notes |
Due to license restrictions, this resource is available to EPA employees and authorized contractors only |
| Contents Notes |
1 Introduction -- 2 Literature Review -- 3 Method -- 4 Results and Discussion -- 5 Conclusions and Future Work. The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks. The developed tool provides parameterization of the configuration for the neural network training to enable us to select the best neural architecture to address the problem. The tool makes use of confusion matrices to determine the degree of success of the network. A spectrum-temporal analysis of the study area was done on 57 images from May 20 to July 15, 2003 using the trained neural network. The analysis enabled verification of quality of the implemented neural network classification and also aided in understanding the dynamics of deforestation in the Amazon rainforest, thereby highlighting the vast potential of neural networks for image classification. However, the complex task of detection of predatory actions at the beginning, i.e., generation of consistent alarms, instead of false alarms has not been solved yet. Thus, the present article provides a theoretical basis and elaboration of practical use of neural networks and satellite images to combat illegal deforestation. |
| Place Published |
Cham |
| Corporate Au Added Ent |
SpringerLink (Online service) |
| Title Ser Add Ent |
SpringerBriefs in Computer Science, |
| Host Item Entry |
Springer eBooks |
| PUB Date Free Form |
2015 |
| Series Title Untraced |
SpringerBriefs in Computer Science, |
| BIB Level |
m |
| Medium |
computer |
| Content |
text |
| Carrier |
online resource |
| Cataloging Source |
OCLC/T |
| OCLC Time Stamp |
20150728020339 |
| Language |
eng |
| Origin |
SPRINGER |
| Type |
EBOOK |
| OCLC Rec Leader |
02995nam a22004335i 45 |
