A comprehensive bibliometric review of forest fires in Iran
S Moazeni, A Cerda - Environmental Development, 2025 - Elsevier
Forest fires in Iran present a significant environmental concern, impacting diverse
ecosystems, human societies, and the economy. Encompassing approximately 7% of the …
ecosystems, human societies, and the economy. Encompassing approximately 7% of the …
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 …
Accurate surface water detection and map** using Remote Sensing (RS) imagery is
crucial for effective water and flood management and for supporting natural ecosystems and …
crucial for effective water and flood management and for supporting natural ecosystems and …
Wildfires pose an increasing risk to expanding urban population centers, and to critical
habitats for plant and animal species. Improving current wildland management strategies …
habitats for plant and animal species. Improving current wildland management strategies …
Forest flame detection in unmanned aerial vehicle imagery based on YOLOv5
H Liu, H Hu, F Zhou, H Yuan - Fire, 2023 - mdpi.com
One of the major responsibilities for forest police is forest fire prevention and forecasting;
therefore, accurate and timely fire detection is of great importance and significance. We …
therefore, accurate and timely fire detection is of great importance and significance. We …
An Unsupervised Burned Area Map** Approach Using Sentinel-2 Images
The frequency and severity of large, destructive fires have increased in the recent past, with
extended impacts on the landscape, the human population, and ecosystems. Earth …
extended impacts on the landscape, the human population, and ecosystems. Earth …
[HTML][HTML] Application of Getis-Ord Correlation Index (Gi) for Burned Area Detection Improvement in Mediterranean Ecosystems (Southern Italy and Sardinia) Using …
This study collects the results obtained using the Getis-Ord local spatial autocorrelation
index (Gi) with the aim of improving the classification of burned area detection maps …
index (Gi) with the aim of improving the classification of burned area detection maps …
Assessing the spatiotemporal dynamics of vegetation coverage in urban built-up areas
As the main carbon sink in the carbon cycle process, vegetation is an important support for
achieving “carbon peaking” and “carbon neutrality. How does the vegetation coverage of …
achieving “carbon peaking” and “carbon neutrality. How does the vegetation coverage of …
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 novel Deep Learning Change Detection approach for estimating Spatiotemporal Crop Field Variations from Sentinel-2 imagery
The analysis of crop variation and the ability to quantify it is a critical and challenging task.
Remote sensing (RS) has proven to be an effective tool for monitoring crops and detecting …
Remote sensing (RS) has proven to be an effective tool for monitoring crops and detecting …