An Evaluation of Land Use Land Cover (LULC) Classification for Urban Applications with Quickbird and WorldView2 Data

2015-04-01
Cavur, Mahmut
Nabdel, Leili
Kemeç, Serkan
Düzgün, Hafize Şebnem
Monitoring and analysis of the land and rapid environmental change, leads to the use of Land Use and Land Cover (LULC) classification approaches from remote sensing data. The main focus of this aper is to illustrate the practical approach to analysis and mapping of land use and land cover features using high resolution satellite images. The study is carried out for two different places, Basel and Tel Aviv. For this purpose, Quickbird satellite imagery is used for Basel and WorldView2 imagery for Tel Aviv. The classification method chosen for the Quickbird image is Support Vector Machine (SVM) classifier and Maximum Likelihood method for the WordView2 satellite imagery. Both of the methods are applied using ENVI 5.0 Remote Sensing software. An accuracy assessment is also applied to the classified results based on the ground truth points or known reference pixels.
Joint Urban Remote Sensing Event

Suggestions

An evaluation of the environmental literacy of preservice teachers in Turkey through Rasch analysis
Teksöz, Gaye; Yılmaz Tüzün, Özgül; Öztekin, Ceren (Informa UK Limited, 2014-03-04)
The purpose of this study was to make use of proposed definitions of environmental literacy to (1) guide the application of Rasch analysis and (2) utilize the developed instrumentation to further inform the work of environmental educators. A total of 2311 preservice teachers attending Faculty of Education departments of four public universities located in the capital city of Turkey provided data for this study. The instrument used included a knowledge scale, an attitude scale, an attitude towards environmen...
Hierarchical classification of Sentinel 2-a images for land use and land cover mapping and its use for the CORINE system
Demirkan, Doga C.; Koz, Alper; Duzguna, H. Sebnem (SPIE-Intl Soc Optical Eng, 2020-06-01)
The aim of this study is to investigate the potential of the Sentinel-2 satellite for land use and land cover (LULC) mapping. The commonly known supervised classification algorithms, support vector machines (SVMs), random forest (RF), and maximum likelihood (ML) classification are adopted for investigation along with a proposed hierarchical classification model based on a coordination of information on the environment land cover system. The main classes for land cover and mapping in the proposed hierarchica...
Automatic Mapping of Linearwoody Vegetation Features in Agricultural Landscapes
AKSOY, SELİM; AKÇAY, HÜSEYİN GÖKHAN; Cinbiş, Ramazan Gökberk; Wassenaar, Tom (2008-07-11)
Development of automatic methods for agricultural mapping and monitoring using remotely sensed imagery has been an important research problem. We describe algorithms that exploit the spectral, textural and object shape information using hierarchical feature extraction and decision making steps for automatic mapping of linear strips of woody vegetation in very high-resolution imagery. First, combinations of multispectral values and multi-scale Gabor and entropy texture features are used for training pixel le...
Hierarchical land use and land cover classification of Sentinel 2-a images and its use for corine system
Demirkan, Doğa Çağdaş; Akyürek, Sevda Zuhal; Koz, Alper; Department of Geodetic and Geographical Information Technologies (2017)
The aim of this thesis is to investigate the potential of Sentinel-2 satellite for land use and land cover mapping. The commonly known supervised classification algorithms, support vector machines (SVMs) and maximum likelihood classification, are adopted for investigation along with a hierarchical classification model CORINE. The main classes for land cover and mapping are selected as water, vegetation, built-up and bare-land in the first level, which is followed by inland water, marine water, forest/meadow...
An integrated seismic hazard framework for liquefaction triggering assessment of earthfill dams' foundation soils
Ünsal Oral, Sevinç; Çetin, Kemal Önder; Department of Civil Engineering (2009)
Within the confines of this study, seismic soil liquefaction triggering potential of a dam foundation is assessed within an integrated probabilistic seismic hazard assessment framework. More specifically, the scheme presented hereby directly integrates effective stress-based seismic soil liquefaction triggering assessment with seismic hazard analysis framework, supported by an illustrative case. The proposed methodology successively, i) processes the discrete stages of probabilistic seismic hazard workflow ...
Citation Formats
M. Cavur, L. Nabdel, S. Kemeç, and H. Ş. Düzgün, “An Evaluation of Land Use Land Cover (LULC) Classification for Urban Applications with Quickbird and WorldView2 Data,” presented at the Joint Urban Remote Sensing Event, Lausanne, SWITZERLAND, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53212.