Remote sensing and GIS-based inventory and analysis of the unprecedented 2021 forest fires in Türkiye’s history

Natural Hazards, Journal Year: 2024, Volume and Issue: 120(12), P. 10687 - 10707

Published: April 29, 2024

Abstract In the summer of 2021, Türkiye experienced unprecedented forest fire events. Throughout that season, a total 291 incidents, covering an area 202,361 hectares, dominated public agenda. This study aimed to document and analyze 30 large fires (affecting over 100 hectares) 2021 using remote sensing GIS techniques. A comprehensive database was established, encompassing information on burned areas, severity, fuel types, determined from forest-stand types topographical properties including slope, elevation, aspect (in eight directions). Sentinel-2 satellite images were utilized calculate dNBR values for assessing analyzed in Google Earth Engine platform. Three GIS-integrated Python scripts developed construct database. total, 164,658 hectares affected by these fires, occurring solely three regions Türkiye: Mediterranean, Aegean, Eastern Anatolian. The majority situated Mediterranean region (59%), with only 3% Anatolia. areas ranged minimum 150 maximum 58,798 hectares. Additionally, 679 residential 22,601 agricultural land impacted For each fire, 21 their distribution determined. most prevalent fire-prone class, “Pure Turkish pine species (Pr-Çz),” accounted 59.56% (99,516 hectares). Another significant species, Black (Pr-Çk),” covered 7.67% (12,811 area. Fuel evaluated considering both development stages canopy closure. Regarding stages, largest percentage belonged “Mature” class (26.48%).

Language: Английский

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Potential evaluation of visible-thermal UAV image fusion for individual tree detection based on convolutional neural network

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2022, Volume and Issue: 113, P. 103011 - 103011

Published: Sept. 1, 2022

Unmanned aerial vehicles (UAVs) outfitted with thermal and visible sensors are already a popular platform in precision agriculture thanks to recent advances remote sensing. Many researchers have studied integrating data from different spectral characteristics achieve higher-level properties and, consequently, detect the trees accurately. In this research, images, as well normalized digital surface models resulting UAVs high spatial resolution, employed accurately extract two urban areas complex backgrounds. image, can be detected hidden based on their brightness temperature difference compared other features. contrast, image has higher fusing images resolve complexity of problem. proposed method, first, deep learning network visible-thermal is evaluated terms detecting various approaches. These evaluations include comparison tests four types input convolutional also visible-thermal- model images. Results evaluation parameters indicate maximum fourth approach (intersection-over-union = 91.72, F-score 95.67). Then, output binary map highest accuracy Canny edge detection operator utilized identify tree boundaries, count, estimate area diameter canopy. Finally, findings revealed root mean square error (RMSE) first second 0.21 m2, 0.08 m 0.24 0.11 respectively for crown.

Language: Английский

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Fire Affects Tree Growth, Water Use Efficiency and Carbon Sequestration Ecosystem Service of Pinus nigra Arnold: A Combined Satellite and Ground-Based Study in Central Italy

Forests, Journal Year: 2023, Volume and Issue: 14(10), P. 2033 - 2033

Published: Oct. 11, 2023

The Mediterranean basin is an area particularly exposed to fire risk due its climate and fire-prone vegetation. In recent decades, the frequency intensity of wildfires increased, leading negative effects on forests, such as a decrease in tree growth or increase mortality, producing relevant loss carbon sequestration ecosystem service. This study impacts fires forests fundamental for planning adequate forest management strategies aimed at recovering restoring affected areas. this framework, our research delves into that, 2017, black pine (Pinus nigra Arnold) Central Italy. Combining satellite terrestrial analyses, evaluated impact growth, water use efficiency capacity. Our findings highlight importance using remote sensing accurate identification fire-affected areas precise ground-based activities. However, integration data with surveys sampling has proven crucial detailed understanding fire’s trees. Dendrochronology stable isotopes have revealed post-fire decline altered usage defoliated Furthermore, quantification CO2 highlighted significant reduction uptake by damaged trees, severe implications

Language: Английский

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MTFR: An universal multimodal fusion method through Modality Transfer and Fusion Refinement

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 135, P. 108844 - 108844

Published: June 18, 2024

Language: Английский

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PKS: A photogrammetric key-frame selection method for visual-inertial systems built on ORB-SLAM3

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2022, Volume and Issue: 191, P. 18 - 32

Published: July 12, 2022

Language: Английский

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