NDLI: Land cover classification based on multi-date JERS-1 imagery as a basis for deforestation detection

Content Provider	IEEE Xplore Digital Library
Author	Dutra, L.V. Hernandez F., P. Mazzocato, M.E. de Souza, R.C.M. Oliver, C.
Copyright Year	1999
Description	Author affiliation: Inst. Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil (Dutra, L.V.)
Abstract	Deforestation detection is a key issue on tropical environment monitoring. It has been done in Brazil based mainly on visual interpretation of optical images. Cloud coverage, however, is an impediment to have reliable estimates over several Amazonian areas. L-band SAR data is a promising information source to monitor those areas. One possible approach, used in this work, is to analyse land use/cover change between successive dates to spot deforestation, being each consecutive land cover map obtained through JERS-1 land use/cover classification. Initially, each JERS-1 image is speckle filtered and a standard segmentation routine is then applied to each filtered channel. The result is an image in which each segment is represented by the average backscatter level within that segment. After segmentation stage, the segments are classified into four land use/cover classes of interest: pasture+bare soil, dirty pasture, secondary and primary forest, producing a land cover map for each year. Analysing the changes on the 1996 land cover maps related to the 1995 map, it was possible to point out areas of deforestation and other change classes. An assessment is done over an well known area near the Tapajos National Forest (Flona), in Para State, Brazil. The land use/cover maps and the change map are compared to reference areas defined by visual interpretation.
Starting Page	2759
Ending Page	2761
File Size	351710
Page Count	3
File Format	PDF
ISBN	0780352076
DOI	10.1109/IGARSS.1999.771642
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-28
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Monitoring Adaptive optics Optical filters Clouds Impedance L-band Speckle Backscatter Soil
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Mapping and monitoring land cover in Corumbiara area, Brazilian Amazônia, using JERS-1 SAR multitemporal data

Use of Landsat TM image segmentation for smoothing ERS-1 SAR imagery in combined multi-sensor landscape classification

Primary forest and land cover contextual classification using JERS-1 data in Amazonia, Brazil

OBJECT BASED CLASSIFICATION OF L-BAND SAR DATA FOR THE DELINEATION OF FOREST COVER MAPS AND THE DETECTION OF DEFORESTATION

Object based classification of l-band sar data for the delineation of forest cover maps and the detection of deforestation.

A method for detection of retinal layers by optical coherence tomography image segmentation

Application of JERS-1 InSAR for monitoring deforestation of tropical rain forest

Image fusion of radar and optical remote sensing data for land cover classification

Mapping land cover change in the Taita Hills, Kenya, utilizing multi-scale segmentation and object-oriented classification of SPOT imagery

Land cover classification based on multi-date JERS-1 imagery as a basis for deforestation detection

Similar Documents

Mapping and monitoring land cover in Corumbiara area, Brazilian Amazônia, using JERS-1 SAR multitemporal data

Use of Landsat TM image segmentation for smoothing ERS-1 SAR imagery in combined multi-sensor landscape classification

Primary forest and land cover contextual classification using JERS-1 data in Amazonia, Brazil

OBJECT BASED CLASSIFICATION OF L-BAND SAR DATA FOR THE DELINEATION OF FOREST COVER MAPS AND THE DETECTION OF DEFORESTATION

Object based classification of l-band sar data for the delineation of forest cover maps and the detection of deforestation.

A method for detection of retinal layers by optical coherence tomography image segmentation

Application of JERS-1 InSAR for monitoring deforestation of tropical rain forest

Image fusion of radar and optical remote sensing data for land cover classification

Mapping land cover change in the Taita Hills, Kenya, utilizing multi-scale segmentation and object-oriented classification of SPOT imagery

Land cover classification based on multi-date JERS-1 imagery as a basis for deforestation detection