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[HTML][HTML] Precision in map** and assessing mangrove Biomass: Insights from the Persian Gulf coasts
This groundbreaking research makes a contribution to climate change adaptation studies by
filling a crucial knowledge gap related to the precise evaluation of mangrove biomass—an …
filling a crucial knowledge gap related to the precise evaluation of mangrove biomass—an …
A cloud-integrated GIS for forest cover loss and land use change monitoring using statistical methods and geospatial technology over northern Algeria
Over the last two decades, forest cover has experienced significant impacts from fires and
deforestation worldwide due to direct human activities and climate change. This paper …
deforestation worldwide due to direct human activities and climate change. This paper …
Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery
Tropical deforestation frontiers continue to expand at alarming rates, but their fine-scale
temporal patterns (eg, start timing, patch forming speed, temporal clustering within a year) …
temporal patterns (eg, start timing, patch forming speed, temporal clustering within a year) …
[HTML][HTML] How textural features can improve SAR-based tropical forest disturbance map**
Spatially and timely accurate information about tropical forest disturbances is crucial for
tracking critical forest changes, supporting forest management, and enabling law …
tracking critical forest changes, supporting forest management, and enabling law …
Potential of Sentinel-1 SAR to assess damage in drought-affected temperate deciduous broadleaf forests
Understanding forest decline under drought pressure is receiving research attention due to
the increasing frequency of large-scale heat waves and massive tree mortality events …
the increasing frequency of large-scale heat waves and massive tree mortality events …
A multi-source change detection algorithm supporting user customization and near real-time deforestation detections
The abundance of free and accessible satellite data has revolutionized our ability to study
deforestation with remote sensing. Recent advances have enabled us to monitor …
deforestation with remote sensing. Recent advances have enabled us to monitor …
Reliably map** low-intensity forest disturbance using satellite radar data
In the last decades tropical forests have experienced increased fragmentation due to a
global growing demand for agricultural and forest commodities. Satellite remote sensing …
global growing demand for agricultural and forest commodities. Satellite remote sensing …
A near-real-time tropical deforestation monitoring algorithm based on the CuSum change detection method
Tropical forests are currently under pressure from increasing threats. These threats are
mostly related to human activities. Earth observations (EO) are increasingly used for …
mostly related to human activities. Earth observations (EO) are increasingly used for …
[HTML][HTML] How Sentinel-1 timeseries can improve the implementation of conservation programs in Brazil
A Pfefer, B Ygorra, F Frappart, G Demarchi… - Remote Sensing …, 2024 - Elsevier
Abstract Cumulative Sum (CuSum) change detection was applied on a Sentinel-1
backscatter time series at a spatial scale of 10 m as part of a conservation program …
backscatter time series at a spatial scale of 10 m as part of a conservation program …
A bibliometric analysis on the visibility of the Sentinel-1 mission in the scientific literature
Seven years after the launch of the first Sentinel-1 satellite, its data have been widely used
in the scientific community. This study provides the first quantitative analysis of the visibility …
in the scientific community. This study provides the first quantitative analysis of the visibility …