Integration of environmental variables with satellite images in regional scale vegetation classification

Date

2006-04-01

Author

Domaç, Ayşegül
Süzen, Mehmet Lütfi
Bilgin, Cemal Can

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

58
views

0
downloads

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 maximum likelihood method to Landsat images with the help of forest management maps. Discriminant analysis is used in the second part of the study in two different stages. First, Fisher's linear equations for each of the pre-defined nine vegetation groups are calculated and values of the pixels are assigned by the greatest probability value. Second, distance raster value of maximum likelihood classification is used as a threshold. The distance raster pixels having values less than one is accepted as misclassified and replaced with the results of discriminant analysis results. As a result of this study 19.6% increase in overall accuracy is obtained by using the relationships between environmental variables and vegetation existence.

Subject Keywords

General Earth and Planetary Sciences

URI

https://hdl.handle.net/11511/47839

Journal

International Journal Of Remote Sensing

DOI

https://doi.org/10.1080/01431160500444806

Collections

Department of Geological Engineering, Article

Suggestions

OpenMETU
Core

Evaluation of the NDVI in plant community composition mapping: a case study of Tersakan Valley, Amasya County, Turkey DOĞAN, Hakan Mete; Celep, Ferhat; Karaer, Fergan (Informa UK Limited, 2009-01-01) Mapping the composition of plant community types requires reliable spatial data obtained from field surveys and satellite-derived indices. The normalized difference vegetation index (NDVI) is the simplest and most frequently used index in plant applications. If relationships between the NDVI and plant cover abundance are determined, this information can be used in the mapping process. In this study, we investigated these possible connections for mapping the plant community composition of Tersakan Valley in ...
Evaluation of cross-track illumination in EO-1 Hyperion imagery for lithological mapping San, B. Taner; Süzen, Mehmet Lütfi (Informa UK Limited, 2011-01-01) Hyperspectral remote sensing data is a powerful tool for discriminating lithological units and for the preparation of mineral maps for alteration studies. The spaceborne hyperspectral Hyperion sensor, despite its narrow swath width (similar to 7.5 km), possesses great potential with its 196 channels within the wavelength range 426.82-2395.50 nm. Although it has many advantages such as low cost and on-demand coverage, much uncertainty exists in the utility of its applications. For example, poor signal-to-noi...
Digital elevation model (DEM) generation and accuracy assessment from ASTER stereo data SAN, BEKİR TANER; Süzen, Mehmet Lütfi (Informa UK Limited, 2005-11-20) Digital elevation models (DEM) are the indispensable quantitative environmental variable in most of the research studies in remote sensing. The improvement of sensor and satellite imaging technologies enabled the researchers to generate DEM using remotely sensed data. These data can be started to use as not only the two-dimensional (2-D) but also three-dimensional (3-D) information sources with usage of the DEM. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is one of the sensor ...
Evaluating a mesoscale atmosphere model and a satellite-based algorithm in estimating extreme rainfall events in northwestern Turkey Yücel, İsmail (Copernicus GmbH, 2014-01-01) Quantitative precipitation estimates are obtained with more uncertainty under the influence of changing climate variability and complex topography from numerical weather prediction (NWP) models. On the other hand, hydrologic model simulations depend heavily on the availability of reliable precipitation estimates. Difficulties in estimating precipitation impose an important limitation on the possibility and reliability of hydrologic forecasting and early warning systems. This study examines the performance o...
Evaluation of SeaWiFS chlorophyll-a in the Black and Mediterranean seas Sancak, S; Besiktepe, ST; Yılmaz, Ayşen; Lee, M; Frouin, R (Informa UK Limited, 2005-05-20) The performance of NASA's OC2 and OC4 algorithms to estimate chlorophyll-a concentrations from SeaWiFS radiometric measurements on the global scale was tested in two contrasted bio-optical environments, the Black Sea and the Mediterranean Sea. The in situ bio-optical measurements were made during October 1999 at 25 stations. Comparisons of the in situ measurements with the concurrent SeaWiFS retrievals indicate that the OC2 and OC4 algorithms are not working satisfactorily in both seas. Case 2 waters domina...

Citation Formats

A. Domaç, M. L. Süzen, and C. C. Bilgin, “Integration of environmental variables with satellite images in regional scale vegetation classification,” International Journal Of Remote Sensing, pp. 1329–1350, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47839.