Mapping regional forest fire probability using artificial neural network model in a Mediterranean forest ecosystem

O Satir, S Berberoglu, C Donmez - Geomatics, Natural Hazards …, 2016 - Taylor & Francis
Forest fires are one of the most important factors in environmental risk assessment and it is
the main cause of forest destruction in the Mediterranean region. Forestlands have a …

Crop yield prediction under soil salinity using satellite derived vegetation indices

O Satir, S Berberoglu - Field crops research, 2016 - Elsevier
Monitoring the crop yield is one of the key factors to define agricultural land management
strategies. Recent developments in spatial information technologies enabled cost and …

Simulating the impact of natural disasters on urban development in a sample of earthquake

O Satir, S Kemec, O Yeler, A Akin, P Bostan, ME Mirici - Natural Hazards, 2023 - Springer
Natural disasters have been increased in areas, where people live densely, day by day.
Istanbul 1999, Van 2011, and Izmir 2020 earthquakes were just some of the tragic events in …

Monitoring the Mediterranean type forests and land-use/cover changes using appropriate landscape metrics and hybrid classification approach in Eastern …

M Ersoy Mirici, O Satir, S Berberoglu - Environmental Earth Sciences, 2020 - Springer
Abstract Monitoring the Land-Use/Cover Change (LUCC) is an important tool to evaluate the
reasons for environmental changes in ecologically sensitive landscapes like natural …

Classification of poplar trees with object-based ensemble learning algorithms using Sentinel-2A imagery

H Tonbul, I Colkesen, T Kavzoglu - Journal of Geodetic Science, 2020 - degruyter.com
The poplar species in the forest ecosystems are one of the most valuable and beneficial
species for the society and environment. Conventional methods require high cost, time and …

Mapping the dominant forest tree distribution using a combined image classification approach in a complex Eastern Mediterranean basin

O Satir, S Berberoglu, E Akca, O Yeler - Journal of Spatial Science, 2017 - Taylor & Francis
A land use/cover (LUC) classification strategy based on an unsupervised k-means, object-
based and expert knowledge classification technique was cross-checked using Landsat …

Integrating remote sensing and hydrologic modeling to assess the impact of land-use changes on the increase of flood risk: A case study of the Riyadh–Dammam train …

A Abdelkarim, AFD Gaber, II Alkadi, HM Alogayell - Sustainability, 2019 - mdpi.com
The current study aimed at measuring the impact of the change in land-use morphology on
the increase of flood risk through its application to the case of the Riyadh–Dammam train …

Agriculture sprawl assessment using multi-temporal remote sensing images and its environmental impact; Al-Jouf, KSA

AM Youssef, MM Abu Abdullah, B Pradhan, AFD Gaber - Sustainability, 2019 - mdpi.com
In this paper, multispectral and multi-temporal satellite data were used to assess the spatial
and temporal evolution of the agriculture activities in the Al-Jouf region, Kingdom of Saudi …

Monitoring the land use/cover changes and habitat quality using Landsat dataset and landscape metrics under the immigration effect in subalpine eastern Turkey

O Satir, MA Erdogan - Environmental Earth Sciences, 2016 - Springer
Monitoring the land use/cover change (LUCC) is a vital part of the ecological planning in fast-
changing regions. Fast industrial developments, local social dynamics like internal security …

Investigation of Potential Prevailing Wind Impact on Land Surface Temperature at Gas Flaring Sites in the Niger Delta, Nigeria.

B Morakınyo, S Lavender, V Abbott - International Journal of …, 2022 - dergipark.org.tr
This research examines the effects of South prevailing wind on Land Surface Temperature
(LST) retrieved from Earth Observation (EO) Satellites at 11 gas flaring sites in Rivers State …