NDLI: CART-Based Rare Habitat Information Extraction For Landsat ETM+ Image

Content Provider	IEEE Xplore Digital Library
Author	Zhang Zili Qin Qiming Gao Junping Dong Yuzhi Yao Yunjun Wang Zhaoqiang Fanwei, D.
Copyright Year	2008
Description	Author affiliation: Dept. of Ornamental Horticulture, China Agric. Univ., Beijing (Gao Junping; Fanwei, D.) \|\| Coll. of Forestry, Xinjiang Agric. Univ., Urumqi (Dong Yuzhi) \|\| Inst. of Remote Sensing, Peking Univ., Beijing (Zhang Zili; Qin Qiming; Yao Yunjun; Wang Zhaoqiang)
Abstract	In the paper, The DT classifier adopted was CART(Classification and Regression Trees) to obtain a habitat of interest to Paeonia sinjiangensis, existing as fragments on the southern coteau of the Altay mountain located Xinjiang autonomous region of China. In the paper, decision tree classifier allows for the integration of remotely sensed data with other sources of georeferenced information such as land use data, spatial texture, and digital elevation models (DEMs) to obtain greater classification accuracy. TM reflectance data acquired in 2001 were required to completely cover Altay mountain area. Several ancillary datasets were used as inputs into the decision tree classification. These datasets include land use, city boundaries, vegetation types and digital elevation models. Logical decision rules, discovered from samples through CART integrating spectral textural and the spatial distribution character, then are used with the above various datasets to assign class values to each pixel. Finally, In contrast with CART, a standard maximum likelihood decision rule implemented by a discriminant analysis. Results on study of Paeonia sinjiangensis ground extraction from ETM imagery show that the classification results of CART was significantly better than that of Common DT classification. And this organizational methodology for classification is feasible and reliable if taking advantage of ancillary data and image analyst for classification.
File Size	187496
File Format	PDF
ISBN	9781424428076
DOI	10.1109/IGARSS.2008.4779539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Satellites Remote sensing Classification tree analysis Decision trees Digital elevation models Regression tree analysis Reflectivity Cities and towns Vegetation mapping decision tree classification rare habitat monitoring Paeonia sinjiangensis CART
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