[HTML][HTML] A systematic review of existing early warning systems' challenges and opportunities in cloud computing early warning systems

IE Agbehadji, T Mabhaudhi, J Botai, M Masinde - Climate, 2023 - mdpi.com
This paper assessed existing EWS challenges and opportunities in cloud computing through
the PSALSAR framework for systematic literature review and meta-analysis. The research …

[HTML][HTML] Detecting forest fire omission error based on data fusion at subpixel scale

H Xu, G Zhang, R Chu, J Zhang, Z Yang, X Wu… - International Journal of …, 2024 - Elsevier
Forest disaster fires pose a serious threat to forest resources and people's lives and
property, and may also cause ecological disasters and social crises. There is a …

[HTML][HTML] DETER-R: an operational near-real time tropical forest disturbance warning system based on Sentinel-1 time series analysis

J Doblas, MS Reis, AP Belluzzo, CB Quadros… - Remote Sensing, 2022 - mdpi.com
Continuous monitoring of forest disturbance on tropical forests is a fundamental tool to
support proactive preservation actions and to stop further destruction of native vegetation …

[HTML][HTML] Monitoring road development in Congo Basin forests with multi-sensor satellite imagery and deep learning

B Slagter, K Fesenmyer, M Hethcoat, E Belair… - Remote Sensing of …, 2024 - Elsevier
Road development has affected many remote tropical forests around the world and has
accelerated human-induced deforestation, forest degradation and biodiversity loss. The …

[HTML][HTML] Deep learning and automatic reference label harvesting for Sentinel-1 SAR-based rapid tropical dry forest disturbance map**

A Mullissa, J Reiche, M Herold - Remote Sensing of Environment, 2023 - Elsevier
The advent of temporally dense radar data such as the Sentinel-1 SAR have opened the
door for rapid forest disturbance detection in the humid tropics. Tropical dry forest …

[HTML][HTML] Monitoring loss of tropical forest cover from Sentinel-1 time-series: A CuSum-based approach

B Ygorra, F Frappart, JP Wigneron, C Moisy… - International journal of …, 2021 - Elsevier
The forest decline in tropical areas is one of the largest global environmental threats as the
growth of both global population and its needs have put an increasing pressure on these …

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) …

Forest fire smoke detection research based on the random forest algorithm and sub-pixel map** method

X Li, G Zhang, S Tan, Z Yang, X Wu - Forests, 2023 - mdpi.com
In order to locate forest fire smoke more precisely and expand existing forest fire monitoring
methods, this research employed Himawari-8 data with a sub-pixel positioning concept in …

[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 …

Integrating satellite-based forest disturbance alerts improves detection timeliness and confidence

J Reiche, J Balling, AH Pickens… - Environmental …, 2024 - iopscience.iop.org
Satellite-based near-real-time forest disturbance alerting systems have been widely used to
support law enforcement actions against illegal and unsustainable human activities in …