An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters
Journal Title: International Journal of Environment and Geoinformatics - Year 2014, Vol 1, Issue 1
Abstract
Accurate classification of land-use/cover based on remotely sensed data is important for interpreters who analyze time or event-based change on certain areas. Any method that has user flexibility on area selection provides great simplicity during analysis, since the analyzer may need to work on a specific area of interest instead of dealing with the entire remotely sensed data. The objectives of the paper are to develop an automation algorithm using Matlab & Simulink on user selected areas, to filter V-I-S (Vegetation, Impervious, Soil) components using the algorithm, to analyze the components according to upper and lower threshold values based on each band histogram, and finally to obtain land-use/cover map combining the V-I-S components. LANDSAT 5TM satellite data covering Istanbul and Izmit regions are utilized, and 4, 3, 2 (RGB) band combination is selected to fulfill the aims of the study. These referred bands are normalized, and V-I-S components of each band are determined. This methodology that uses Matlab & Simulink program is equally successful like the unsupervised and supervised methods. Practices with these methods that lead to qualitative and quantitative assessments of selected urban areas will further provide important spatial information and data especially to the urban planners and decision-makers.
Authors and Affiliations
Sinasi KAYA, Fikret PEKİN, Dursun Zafer SEKER, Aysegul TANIK
Optimization of Remote Sensing Image Attributes to Improve Classification Accuracy
Remote sensing technologies provide very important big data to various science areas such as risk identification, damage detection and prevention studies. However, the classification processes used to create thematic map...
Assessment of Tsunami-related Geohazard Assessment for Coasts of Hersek Peninsula and Gulf of İzmit
Tsunamis are one of the most dreadful natural disasters; they could cause abysmal damage to all kind of lives in the hinterland within instantly. It is a major right-lateral moving fault that runs along the tectonic boun...
Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey
With the latest development and increasing availability of high spatial resolution sensors, earth observation technology offers a viable solution for crop identification and management. There is a strong need to produce...
An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters
Accurate classification of land-use/cover based on remotely sensed data is important for interpreters who analyze time or event-based change on certain areas. Any method that has user flexibility on area selection provid...
Natural and anthropogenic threats to the cultural tourism potential of Kıyıköy
This paper discusses the cultural tourism potential of Kıyıköy and the natural and anthropogenic threats to extant cultural tourism values such as the Kıyıköy castle walls, Aya Nicholas Monastery and historical Kıyıköy h...