F2BFE: development of feature-based building footprint extraction by remote sensing data and GEE
Monitoring the spatiotemporal dynamics of building footprints (BF) is necessary for
understanding urbanization growth. It is a difficult task to extract residential sites, mainly BF …
understanding urbanization growth. It is a difficult task to extract residential sites, mainly BF …
A novel flood/water extraction index (FWEI) for identifying water and flooded areas using sentinel-2 visible and near-infrared spectral bands
Accurate assessment of surface water from satellite and remote sensing data plays an
important role in water and flood management and supporting natural ecosystems and …
important role in water and flood management and supporting natural ecosystems and …
A case study about the forest fire occurred on 05 July 2021 over Khenchela province, Algeria, using space-borne remote sensing
R Guehaz, V Sivakumar - Frontiers in Remote Sensing, 2023 - frontiersin.org
In this study, space-borne remote sensing (Landsat-8, MODIS) was employed to evaluate
the effects of forest fires occurring on 05 July 2021, over Khenchela province, Algeria. Our …
the effects of forest fires occurring on 05 July 2021, over Khenchela province, Algeria. Our …
An image-based fire monitoring algorithm resistant to fire-like objects
Due to its wide monitoring range and low cost, visual-based fire detection technology is
commonly used for fire detection in open spaces. However, traditional fire detection …
commonly used for fire detection in open spaces. However, traditional fire detection …
Geovisualization and Analysis of Landscape-Level Wildfire Behavior Using Repeat Pass Airborne Thermal Infrared Imagery
Geovisualization tools can supplement the statistical analyses of landscape-level wildfire
behavior by enabling the discovery of nuanced information regarding the relationships …
behavior by enabling the discovery of nuanced information regarding the relationships …
Automatic detection of active fires and burnt areas in forest areas using optical satellite imagery and deep learning methods
Forest fires have important ecological, social and economic consequences causing loss of
life and property. In order to prevent these consequences, it is very important to intervene in …
life and property. In order to prevent these consequences, it is very important to intervene in …
Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world's largest …
The Encontro das Águas State Park (EASP), renowned as the world's largest refuge for
Jaguars (Panthera onca), is located within the Brazilian portion of the Pantanal biome, and it …
Jaguars (Panthera onca), is located within the Brazilian portion of the Pantanal biome, and it …
Develo** Threshold Classification Model of Burned Area Severity using Sentinel-2 Medium Resolution Satellite Images
One of the most frequent yearly natural disasters in tropical nations, like Indonesia, is a
forest and land fire. Creating effective post-fire policy strategies primarily requires accurate …
forest and land fire. Creating effective post-fire policy strategies primarily requires accurate …
A novel multi-spectral index for burned area detection using high-resolution satellite imagery
K Chomani - Earth Science Informatics, 2025 - Springer
The limitations of existing indices, heavily depend on the shortwave infrared (SWIR) band for
identifying burned areas—a band not available in SuperDove satellite imagery. The study …
identifying burned areas—a band not available in SuperDove satellite imagery. The study …
[PDF][PDF] Domain Adaptation of Deep Learning Segmentation Model of Small Agricultural Burn Area Detection Using Hi-Resolution Sentinel-2 Observations: A Case …
This study investigates the capabilities of high-resolution Sentinel-2 observations and deep
learning (DL) segmentation models, specifically convolutional neural networks (CNNs), for …
learning (DL) segmentation models, specifically convolutional neural networks (CNNs), for …