Spatiotemporal Change Detection Using Landsat Imagery: The Case Study of Uludag National Park, Bursa, Turkey

1. Burhan Gencal, Bursa Technical University, Turkey
2. Inanc Tas, Bursa Technical University, Turkey
3. Mehmet Kalkan, Bursa Technical University, Turkey

Monitoring land use/land cover changes is a very important component for sustainable management of sensitive regions. Because of extraordinary natural beauties, forests, rich flora, and fauna, endemic species, Uludag National Park has a great importance for Turkey / Bursa. Uludag National Park in Marmara Region of Turkey is the case study area and 71% of the National Park is forest, 28% is meadows and rocky areas (Alpine Region), 0.4% is open areas, 0.1% is covered with water and 0.8% of it is a residential area. This paper aims to detect and monitor land use and land cover changes of National Park using multi-temporal remotely sensed data. For this purpose, Landsat 7 ETM and Landsat 8 OLI satellites data were used, including three scenes acquired 1991 and 2017. Detection methodology of land use/land cover has four main stages: Preprocessing, Classifying images, Accuracy assessment, Comparing classified images in GIS environment. Processing tools were implemented using ERDAS 2015, ArcGIS 10.5, and ENVI 5.3 programs to conduct change detection over these two images such as band selection, corrections, subset, classification, recoding, accuracy assessment, and change detection analysis. Image classification revealed that there are 4 significant land use/land cover types, including forest and other lands (i.e. agriculture, roads, settlement, and open areas). Results indicated that other lands were increased, forests were decreased.

Ključne reči: Land use/Land cover; Spatiotemporal change; Protected areas; Uludag National Park

Tematska oblast: Ekologija šuma i očuvanje prirodnih resursa

Datum: 08.09.2017.

Šumarska nauka u funkciji održivog razvoja šumarstva
25 godina šumarstva Republike Srpske


Ostali radovi sa konferencije


Pretraži radove