Abstract

The satellite imagery has been effectively utilized for classifying land covertypes and detecting land cover conditions. The Advanced Spaceborne Thermal Emissionand Reflection Radiometer (ASTER) sensor imagery has been widely used in classificationprocess of land cover. However, atmospheric corrections have to be made by preprocessingsatellite sensor imagery since the electromagnetic radiation signals received by the satellitesensors can be scattered and absorbed by the atmospheric gases and aerosols. In this study,an ASTER sensor imagery, which was converted into top-of-atmosphere reflectance(TOA), was used to classify the land use/cover types, according to COoRdination ofINformation on the Environment (CORINE) land cover nomenclature, for an arearepresenting the heterogonous characteristics of eastern Mediterranean regions inKahramanmaras, Turkey. The results indicated that using the surface reflectance data ofASTER sensor imagery can provide accurate (i.e. overall accuracy and kappa values of83.2% and 0.79, respectively) and low-cost cover mapping as a part of inventory forCORINE Land Cover Project.

Highlights

  • Monitoring and assessing land use/cover information is very important in managing natural resources

  • The main purpose of this study is to perform the land use/cover classification of a study area in the province of Kahramanmaras located in the Mediterranean region of Turkey

  • After converting ASTER radiance values to reflectance, their NDVIs were calculated for both radiance values and top-of-atmosphere reflectance (TOA) reflectance to evaluate the effects of converting processes

Read more

Summary

Introduction

Monitoring and assessing land use/cover information is very important in managing natural resources. Classification as a common image processing technique is implemented to derive data regarding land use/cover types [2]. The classification of land use/cover types provides useful information in mapping vegetation and ecosystem types [7, 8, 9]. These thematic maps can be used to generate necessary database for empirical and process-based models of soil loss, hydrological cycle, and carbon flux [10, 11, 12, 13, 14]

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call