Remote sensing of forest burnt area, burn severity, and post-fire recovery: A review
E Kurbanov, O Vorobev, S Lezhnin, J Sha, J Wang… - Remote Sensing, 2022 - mdpi.com
Wildland fires dramatically affect forest ecosystems, altering the loss of their biodiversity and
their sustainability. In addition, they have a strong impact on the global carbon balance and …
their sustainability. In addition, they have a strong impact on the global carbon balance and …
Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: Assessment of different retrieval algorithms and emissivity models and toolbox …
A Sekertekin, S Bonafoni - Remote sensing, 2020 - mdpi.com
Land Surface Temperature (LST) is an important parameter for many scientific disciplines
since it affects the interaction between the land and the atmosphere. Many LST retrieval …
since it affects the interaction between the land and the atmosphere. Many LST retrieval …
Satellite-derived land surface temperature dynamics in the context of global change—A review
Satellite-derived Land Surface Temperature (LST) dynamics have been increasingly used to
study various geophysical processes. This review provides an extensive overview of the …
study various geophysical processes. This review provides an extensive overview of the …
A calibration procedure for field and UAV-based uncooled thermal infrared instruments
Thermal infrared cameras provide unique information on surface temperature that can
benefit a range of environmental, industrial and agricultural applications. However, the use …
benefit a range of environmental, industrial and agricultural applications. However, the use …
[HTML][HTML] Assessing Chilgoza Pine (Pinus Gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management …
K Mehmood, SA Anees, M Luo, M Akram… - Trees, Forests and …, 2024 - Elsevier
Forest fires represent a critical global threat to both humans and ecosystems. This study
examines the intensity and impacts of Chilgoza (Pinus gerardiana) Pine Forest fires by using …
examines the intensity and impacts of Chilgoza (Pinus gerardiana) Pine Forest fires by using …
Assessment of the characteristics of recent major wildfires in the USA, Australia and Brazil in 2018–2019 using multi-source satellite products
M Kganyago, L Shikwambana - Remote Sensing, 2020 - mdpi.com
This study analysed the characteristics of the recent (2018–2019) wildfires that occurred in
the USA, Brazil, and Australia using Moderate Resolution Imaging Spectroradiometer …
the USA, Brazil, and Australia using Moderate Resolution Imaging Spectroradiometer …
Sensitivity analysis and validation of daytime and nighttime land surface temperature retrievals from Landsat 8 using different algorithms and emissivity models
A Sekertekin, S Bonafoni - Remote Sensing, 2020 - mdpi.com
Land Surface Temperature (LST) is a substantial element indicating the relationship
between the atmosphere and the land. This study aims to examine the efficiency of different …
between the atmosphere and the land. This study aims to examine the efficiency of different …
Prediction of MODIS land surface temperature using new hybrid models based on spatial interpolation techniques and deep learning models
S Kartal, A Sekertekin - Environmental Science and Pollution Research, 2022 - Springer
Land surface temperature (LST) prediction is of great importance for climate change,
ecology, environmental and industrial studies. These studies require accurate LST map …
ecology, environmental and industrial studies. These studies require accurate LST map …
[HTML][HTML] Combining multi-spectral and thermal remote sensing to predict forest fire characteristics
Forest fires preparedness strategies require the assessment of spatial and temporal
variability of fire danger. While several tools have been developed to predict fire occurrence …
variability of fire danger. While several tools have been developed to predict fire occurrence …
Predicting forest fire using multispectral satellite measurements in Nepal
A Qadir, NR Talukdar, MM Uddin, F Ahmad… - Remote Sensing …, 2021 - Elsevier
The present study examined the geospatial datasets concerning fire points, topography,
vegetation types, tree cover percent, ecological zone, and climate to understand the …
vegetation types, tree cover percent, ecological zone, and climate to understand the …