NDLI: Classification of forest change by integration of remote sensing data with Neural Network techniques

Content Provider	IEEE Xplore Digital Library
Author	Mehdawi, A.A. bin Ahmad, B.
Copyright Year	2012
Description	Author affiliation: Faculty of Geoinformation and Real Estate Universiti Teknologi Malaysia, UTM Johor Bahru, Malaysis (Mehdawi, A.A.; bin Ahmad, B.)
Abstract	Forest is a major resource and play vital role in maintaining the ecological balance and environmental setup. Over utilization of forest resources has resulted in the depletion. The changes in forest cover (encroachment) are the matter of global concern due to its ability of promoting role in carbon cycle. This paper will focus into the application of artificial intelligence used in remote sensing such as Neural Network worldwide for assessing and monitoring the changes in forest cover (encroachment). However, advances in the spectral resolutions of sensors are available for ecologist which mainly feasible, to study the certain aspects of biological diversity through direct remote sensing. Global and regional scale of multispectral remote sensed data such as QuickBird, will be used in this study for monitoring the changes in forest cover (encroachment) over the last few decades. Monitoring the changes in forest cover at global and regional scale can contribute to reducing the uncertainties in estimates of emissions of green house gases from forest encroachment. Remote sensing coupled with one of artificial intelligence techniques will use as a potential tool, for classification of the forest encroachment at regional as well as global scale in developing countries such as Malaysia; mainly this research will assist many sectors to monitoring and identify forest encroachment.
Starting Page	1
Ending Page	5
File Size	794345
Page Count	5
File Format	PDF
ISBN	9781467323758
e-ISBN	9781467323765
DOI	10.1109/ICSEngT.2012.6339319
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-11
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Satellites Ecosystems Neural Network and Forest Encroachment Artificial neural networks Remote Sensing Biodiversity Remote sensing Monitoring
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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