[HTML][HTML] Precision in map** and assessing mangrove Biomass: Insights from the Persian Gulf coasts

S Pirasteh, D Mafi-Gholami, H Li, Z Fang… - International Journal of …, 2024 - Elsevier
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 …

A cloud-integrated GIS for forest cover loss and land use change monitoring using statistical methods and geospatial technology over northern Algeria

B Zerouali, CAG Santos, TVM do Nascimento… - Journal of …, 2023 - Elsevier
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 …

Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery

R Sun, F Zhao, C Huang, H Huang, Z Lu, P Zhao… - Remote Sensing of …, 2023 - Elsevier
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) …

[HTML][HTML] How textural features can improve SAR-based tropical forest disturbance map**

J Balling, M Herold, J Reiche - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Spatially and timely accurate information about tropical forest disturbances is crucial for
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

K Schellenberg, T Jagdhuber, M Zehner, S Hese… - Remote Sensing, 2023 - mdpi.com
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 …

A multi-source change detection algorithm supporting user customization and near real-time deforestation detections

IR McGregor, G Connette, JM Gray - Remote Sensing of Environment, 2024 - Elsevier
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 …

Reliably map** low-intensity forest disturbance using satellite radar data

C Aquino, ETA Mitchard, IM McNicol… - Frontiers in Forests …, 2022 - frontiersin.org
In the last decades tropical forests have experienced increased fragmentation due to a
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

B Ygorra, F Frappart, JP Wigneron, T Catry… - Frontiers in Remote …, 2024 - frontiersin.org
Tropical forests are currently under pressure from increasing threats. These threats are
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 …

A bibliometric analysis on the visibility of the Sentinel-1 mission in the scientific literature

B Pham-Duc, H Nguyen - Arabian Journal of Geosciences, 2022 - Springer
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 …