Integration and Usage of Indices Feature Components and Topography in Vegetation Classification for Regional Biodiversity Assessment

Date

2004-07-23

Author

Domaç, Aysegül
Zeydanlı, Uğur
Ertan, Yeşilnacar
Süzen, Mehmet Lütfi

Metadata

Show full item record

Item Usage Stats

181
views

0
downloads

The classification of vegetation has been an important research subject in botany, ecology, geography, and other disciplines to map the differences in vegetation types. Classifying vegetation by remote sensing is valuable because it can determine vegetation distribution and occurrence for very large areas in a short time. Advances in technology have led to developments in methods of vegetation classification, leading to the creation of new and more sophisticated components and powerful techniques. Classifying original bands and/or image components may cause unsatisfactory results in spectrally chaotic fields. In such cases, the demand for accurate land-use, land-cover, vegetation, and forestry information may require more explanatory components those components should represent specific information for target land-covers and not contain redundant knowledge. In this study, spectral bands of Landsat Thematic Mapper and topographic data were used as an input. Different image components and indices were produced and then used in the Maximum Likelihood Classification method. In order to find out proper inputs for our case, newly produced components and indices were statistically compared and the bands that include the information about vegetation are selected. Overall accuracy parameter that is obtained from the Error Matrix helped to evaluate the results of the classification. Results obtained in this study suggest that using these spectrally improved bands and indices; the accuracy of the classification could be increased up to 10-15 percent.

URI

https://hdl.handle.net/11511/75543

Conference Name

ISPRS 2004, (12 - 23 Temmuz 2004)

Collections

Department of City and Regional Planning, Conference / Seminar

Suggestions

OpenMETU
Core

Use of innovation maps for assessing the impact of Tsunamis on the coastal lines of Istanbul Şeker, Dursun Zafer; Kabdasli, S.; Ulusoy, A.I.; Yalçıner, Ahmet Cevdet (2002-01-01) In this study to produce innovation maps of study area, different types of data such as elevation and bathymetry of study area and Geographic Information Systems (GIS) have been used to determine risks areas on the coastline under the threat of tsunami.
Evaluation of glaciation and glacial shapes using geographic information systems and remote sensing (Eastern Black Sea) Geçen, Reşat; Toprak, Vedat; Tombul, Saadettin; Department of Geodetic and Geographical Information Technologies (2011) This study investigates the actual glaciers and the major properties of glacial landscapes (valleys, cirques and lakes) located over the Eastern Black Sea mountain chain using Geographic Information Systems (GIS) and Remote Sensing (RS) technologies. A database is created for each glacial feature that includes fundamental properties of each landscape. Data layers used in the study include digital and analog topographic maps, satellite images, geological maps and drainage maps. The studies carried out yielde...
Integration of environmental variables with satellite images in regional scale vegetation classification Domaç, Ayşegül; Süzen, Mehmet Lütfi; Bilgin, Cemal Can (Informa UK Limited, 2006-04-01) The difficulty of collecting information at conventional field studies and relatively coarse spatial and spectral resolution of Landsat images forced the use of environmental variables as ancillary data in vegetation mapping. The aim of this study is to increase the accuracy of species level vegetation classification incorporating environmental variables in the Amanos Mountains region of southern central Turkey. In the first part of the study, ordinary vegetation classification is attained by using a maximu...
Comparison of regression and kriging techniques for mapping the average annual precipitation of Turkey Bostan, P.A.; Heuvelink, G.B.M.; Akyürek, Sevda Zuhal (Elsevier BV, 2012-10) Accurate mapping of the spatial distribution of annual precipitation is important for many applications in hydrology, climatology, agronomy, ecology and other environmental sciences. In this study, we compared five different statistical methods to predict spatially the average annual precipitation of Turkey using point observations of annual precipitation at meteorological stations and spatially exhaustive covariate data (i.e. elevation, aspect, surface roughness, distance to coast, land use and eco-region)...
Examining the Lycian Sites by Using GIS Aydın, Ervin Kenan; Toprak, Vedat; Department of Archaeometry (2006) This study investigates the relationship between the ancient settlements (in Lycia) and physical environmental parameters including topography, rock and soil types using GIS. Modern settlements are also included in the study to analyze if the response has changed to these parameters from past to the present. The databases created in the study include three topographic attributes (elevation, slope and aspect), rock type, soil type, ancient settlements and modern settlements. Analyses performed in the study i...

Citation Formats

A. Domaç, U. Zeydanlı, Y. Ertan, and M. L. Süzen, “Integration and Usage of Indices Feature Components and Topography in Vegetation Classification for Regional Biodiversity Assessment,” presented at the ISPRS 2004, (12 - 23 Temmuz 2004), İstanbul, Türkiye, 2004, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/75543.