Google Earth Engine ile Türkiye'de Yanmış Alanların MODIS ve FireCCI51 Küresel Yanmış Alan Uydu Gözlem Verileriyle Karşılaştırmalı Değerlendirilmesi

Year 2024, Volume: 5 Issue: 1, 69 - 82, 28.03.2024

Hasan Tonbul

https://doi.org/10.48123/rsgis.1410382

Abstract

Bu çalışmada, Google Earth Engine (GEE) platformunda MODIS MCD64A1 ve European Space Agency (ESA) Fire_cci v. 5.1 (FireCCI51) küresel yanmış alan gözlem verileri kullanılarak Türkiye'de 2015-2020 yılları arasında meydana gelen yanmış alanların konumsal ve zamansal dağılımları belirlenmiştir. Elde edilen sonuçlar, Avrupa Orman Yangınları Bilgi Sistemi (EFFIS) verileriyle karşılaştırılarak yanmış alanların doğruluğu ve kapsamı değerlendirilmiştir. Çalışma kapsamında incelenen dönem boyunca, FireCCI51'in MCD64A1'e göre daha yüksek konumsal çözünürlüğe sahip olması ve küçük yanmış alanları daha hassas bir şekilde belirleme kapasitesine sahip olması daha fazla yanmış alan miktarları hesaplamasını sağlamıştır. Ayrıca, yanmış alanlardaki arazi örtüsü türlerinin belirlenmesinde MODIS MCD12Q1 arazi örtüsü sınıflandırma ürünü kullanılmıştır. 2015-2020 yılları arasında Türkiye'de meydana gelen yangınlar sonucunda yanmış bölgeler içerisinde, her iki veri setine göre de, arazi örtüsü türlerinde ekili alanlar en yüksek yanma oranına sahiptir. MODIS MCD64A1 verileri, ekili alanlardaki yanmış alan oranını % 88,93 ile % 91,80 arasında, FireCCI51 ise % 78,23 ile % 89,53 arasında belirlemiştir. Ülkemizde yanmış alanların konumsal dağılımı, özellikle Akdeniz, Ege ve Güneydoğu Anadolu bölgelerinde yoğunlaşmıştır.

Keywords

Arazi örtüsü, EFFIS, GEE, Küresel yanmış alan veriseti, Yanmış alan haritalama

Comparative Assessment of Burned Areas in Turkey with MODIS and FireCCI51 Global Burned Area Satellite Observation Data using Google Earth Engine

Abstract

In this study, the spatial and temporal distributions of burned areas in Turkey between 2015 and 2020 were identified using MODIS MCD64A1 and European Space Agency (ESA) FireCCI51 global burned area observation data on the Google Earth Engine platform. The results obtained were compared with EFFIS data to evaluate the accuracy and comprehensiveness of burned areas. During the period examined in the study, FireCCI51's higher spatial resolution compared to MCD64A1 and its ability to determine small burned areas more precisely enabled it to calculate higher burned area amounts. Additionally, MODIS MCD12Q1 land cover classification product was used to determine land cover types in burned areas. Among the areas burned by fires in Turkey between 2015 and 2020, cultivated areas have the highest burn rate in land cover types according to both datasets. MODIS MCD64A1 data determined the burned area rate in cropland between 88.93% and 91.80%, and FireCCI51 determined the burned area rate between 78.23% and 89.53%. The spatial distribution of burnt areas in our country is concentrated especially in the Mediterranean, Aegean and Southeastern Anatolia regions.

Keywords

Land cover, EFFIS, GEE, Global Burned area dataset, Burned area mapping

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