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 …

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 …

Satellite-derived land surface temperature dynamics in the context of global change—A review

P Reiners, J Sobrino, C Kuenzer - Remote Sensing, 2023 - mdpi.com
Satellite-derived Land Surface Temperature (LST) dynamics have been increasingly used to
study various geophysical processes. This review provides an extensive overview of the …

A calibration procedure for field and UAV-based uncooled thermal infrared instruments

B Aragon, K Johansen, S Parkes, Y Malbeteau… - Sensors, 2020 - mdpi.com
Thermal infrared cameras provide unique information on surface temperature that can
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 …

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 …

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 …

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 …

[HTML][HTML] Combining multi-spectral and thermal remote sensing to predict forest fire characteristics

C Maffei, R Lindenbergh, M Menenti - ISPRS Journal of Photogrammetry …, 2021 - Elsevier
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 …

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 …