Journals / Türk Uzaktan Algılama ve CBS Dergisi / 2022 / Cilt: 3 - Sayı: 2

Detection of Active Fires with Sentinel-3 Data and Their Verification through the use of Sentinel-2 Data

Sentinel-3 Verileri ile Aktif Yangın Tespiti ve Sentinel-2 Verileri ile Doğrulanması

Pages
86–97
Publication Date
2022-09-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result of the study, it has been seen that satellites provide valuable information in the monitoring of forest fires and it has been pointed out that the design of our next-generation satellites in geosynchronous orbit, in a way that will provide data for fire detection and monitoring will facilitate the follow-up of forest fires that will occur in our country.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The increase in forest fires worldwide as a result of global warming has recently been felt clearly in our country as well.
📊
Key Findings & Data:This increase necessitated the activities to detect, monitor and control such incidents in the earliest way, to be carried out quickly, organized and correctly.
💡
Conclusion & Impact:As a result of the study, it has been seen that satellites provide valuable information in the monitoring of forest fires and it has been pointed out that the design of our next-generation satellites in geosynchronous orbit, in a way that will provide data for fire detection and monitoring will facilitate the follow-up of forest fires that will occur in our country.
🔬Design:Research Article
📍Scope:2021 Verileri
⚙️Variables:Uzaktan algılama · CBS · Orman yangınları

Abstract

The increase in forest fires worldwide as a result of global warming has recently been felt clearly in our country as well. This increase necessitated the activities to detect, monitor and control such incidents in the earliest way, to be carried out quickly, organized and correctly. There are different methods for detecting and monitoring forest fires at an early stage. Using satellite remote sensing data is one of these methods and valuable data can be obtained for fire detection through payloads placed on different satellites in low or geosynchronous orbit. In this study, in order to monitor forest fires and determine the area damaged by the fire, the forest fire that resulted in the burning of a huge area in Manavgat district of Antalya province in 2021 was examined using Sentinel-2A and Sentinel-3A data. As a result of the study, it has been seen that satellites provide valuable information in the monitoring of forest fires and it has been pointed out that the design of our next-generation satellites in geosynchronous orbit, in a way that will provide data for fire detection and monitoring will facilitate the follow-up of forest fires that will occur in our country.

Özet

Küresel ısınmayla birlikte tüm dünyada orman yangınlarında görülmekte olan artış, son zamanlarda ülkemizde de belirgin şekilde hissedilmektedir. Bu artış, bu tür olayların en erken şekilde tespit edilmesi, izlenmesi ve kontrol altına alınmasına yönelik faaliyetlerin hızlı, organize ve doğru biçimde yapılmasını zorunluluk haline getirmiştir. Orman yangınlarının erken evrede tespitine ve takibine yönelik farklı yöntemler mevcuttur. Uydu görüntülerinin kullanımı bu yöntemlerden biridir ve alçak ya da yere eşzamanlı yörüngelerdeki uydular üzerine konulan faydalı yükler vasıtası ile yangın tespitine yönelik çok değerli veriler alınabilmektedir. Bu çalışmada aktif orman yangınlarının izlenmesi ve yangından zarar gören alanın tespit edilmesi amacıyla 2021 yılında Antalya ili Manavgat ilçesinde büyük miktarda alanın yanması ile sonuçlanan orman yangını, Sentinel-2A ve Sentinel-3A verileri kullanılarak incelenmiştir. Çalışma sonucunda orman yangınlarının izlenmesinde uyduların çok değerli bilgiler sağladığı görülmüş, yere eşzamanlı yörüngede bulunacak gelecek nesil uydularımızın, yangın tespiti ve izlenmesine yönelik veriler de sağlayacak şekilde tasarlanmasının ülkemizde meydana gelecek orman yangınlarının takibini kolaylaştıracağı değerlendirilmiştir.

🔖

Cite This Article

GÜLER, Ü., KALKAN, K. (2022). Detection of Active Fires with Sentinel-3 Data and Their Verification through the use of Sentinel-2 Data. Türk Uzaktan Algılama ve CBS Dergisi, Cilt: 3 - Sayı: 2, 86–97. https://ajindex.com/articles/706812

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (4)

  1. Avcı, M., & Korkmaz, M. (2021). Türkiye’de orman yangını sorunu: Güncel bazı konular üzerine değerlendirmeler. Turkish Journal of Forestry, 22(3), 229-240. CCI-LC. (2022, Ocak 29). Quick user guide of the Land Cover State products in GTiff and NetCDF formats. Retrieved from http://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-QuickUserGuide-LC-Maps_v2-0-7.pdf
  2. Cihan, A., Cerit, K., & Erener, A. (2022). Yangın alanında uydu görüntüleri ile yer yüzey sıcaklık değişimi gözlemi ve mekânsal alan tespiti. Doğal Afetler ve Çevre Dergisi, 8(1), 142-155. data europa eu. (2022, Ocak 25). SEVIRI (Spinning Enhanced Visible and InfraRed Imager) Fire Radiative Power (FRP) data from the Meteosat Second Generation (MSG) Satellite. Retrieved from https://data.europa.eu/data/datasets/ seviri-spinning-enhanced-visible-and-infrared-imager-fire-radiative-power-frp-data-from-the-met1?locale=es EFFIS. (2022, Ocak 16). EFFIS Annual Country Statistics for TR - Turkey. Retrieved from https://effis.jrc.ec.europa.eu/ apps/effis.statistics/effisestimates ESA. (2022a, Haziran 14). Sentinel-2 MSI Revisit and Coverage. Retrieved from https://sentinels.copernicus.eu/web/ sentinel/user-guides/sentinel-2-msi/revisit-coverage ESA. (2022b, Haziran 14). Sentinel-3 SLSTR Coverage. Retrieved from https://sentinels.copernicus.eu/web/ sentinel/user-guides/Sentinel-3-slstr/coverage ESA. (2022c, Ocak 24). Sentinel-3 SLSTR Instrument Description. Retrieved from https://sentinel.esa.int/web/sentinel/ technical-guides/sentinel-3-slstr/instrument/description ESA. (2022d, Ocak 24). Sentinel-3 SLSTR Instrument Specifications. Retrieved from https://sentinel.esa.int/web/ sentinel/technical-guides/sentinel-3-slstr/instrument/specifications Escuin, S., Navarro, R., & Fernandez, P. (2008). Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM/ETM images. International Journal of Remote Sensing, 29(4), 1053-1073.
  3. Esemen, K. (2011). Forest fire analysis using satellite imagery (Master tezi). İstanbul Technical University, Institute of Informatics, İstanbul. Eumetsat. (2022, Ocak 25). AVHRR. Retrieved from https://www.eumetsat.int/avhrr García, M. L., & Caselles, V. (1991). Mapping burns and natural reforestation using Thematic Mapper data. Geocarto International, 6(1), 31-37.
  4. Giglio, L., Kendall, J., & Justice, C. (1999). Evaluation of global fire detection algorithms using simulated AVHRR infrared data. International Journal o