A review of the application of optical and radar remote sensing data fusion to land use map** and monitoring

N Joshi, M Baumann, A Ehammer, R Fensholt… - Remote Sensing, 2016 - mdpi.com
The wealth of complementary data available from remote sensing missions can hugely aid
efforts towards accurately determining land use and quantifying subtle changes in land use …

Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm

K Zhao, MA Wulder, T Hu, R Bright, Q Wu, H Qin… - Remote sensing of …, 2019 - Elsevier
Satellite time-series data are bolstering global change research, but their use to elucidate
land changes and vegetation dynamics is sensitive to algorithmic choices. Different …

Near real-time wildfire progression monitoring with Sentinel-1 SAR time series and deep learning

Y Ban, P Zhang, A Nascetti, AR Bevington… - Scientific reports, 2020 - nature.com
In recent years, the world witnessed many devastating wildfires that resulted in destructive
human and environmental impacts across the globe. Emergency response and rapid …

Forest disturbance alerts for the Congo Basin using Sentinel-1

J Reiche, A Mullissa, B Slagter, Y Gou… - Environmental …, 2021 - iopscience.iop.org
A humid tropical forest disturbance alert using Sentinel-1 radar data is presented for the
Congo Basin. Radar satellite signals can penetrate through clouds, allowing Sentinel-1 to …

Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2

J Reiche, E Hamunyela, J Verbesselt… - Remote Sensing of …, 2018 - Elsevier
Combining observations from multiple optical and synthetic aperture radar (SAR) satellites
can provide temporally dense and regular information at medium resolution scale …

Improved early crop type identification by joint use of high temporal resolution SAR and optical image time series

J Inglada, A Vincent, M Arias, C Marais-Sicre - Remote Sensing, 2016 - mdpi.com
High temporal and spatial resolution optical image time series have been proven efficient for
crop type map** at the end of the agricultural season. However, due to cloud cover and …

A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland

M Mahdianpari, H Jafarzadeh, JE Granger… - GIScience & Remote …, 2020 - Taylor & Francis
Wetlands across Canada have been, and continue to be, lost or altered under the influence
of both anthropogenic and natural activities. The ability to assess the rate of change to …

[HTML][HTML] Criteria for effective zero-deforestation commitments

RD Garrett, S Levy, KM Carlson, TA Gardner… - Global environmental …, 2019 - Elsevier
Zero-deforestation commitments are a type of voluntary sustainability initiative that
companies adopt to signal their intention to reduce or eliminate deforestation associated …

A CNN-based fusion method for feature extraction from sentinel data

G Scarpa, M Gargiulo, A Mazza, R Gaetano - Remote Sensing, 2018 - mdpi.com
Sensitivity to weather conditions, and specially to clouds, is a severe limiting factor to the use
of optical remote sensing for Earth monitoring applications. A possible alternative is to …

[HTML][HTML] Improving estimates and change detection of forest above-ground biomass using statistical methods

AE Turton, NH Augustin, ETA Mitchard - Remote Sensing, 2022 - mdpi.com
Forests store approximately as much carbon as is in the atmosphere, with potential to take in
or release carbon rapidly based on growth, climate change and human disturbance. Above …