Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine

B DeVries, C Huang, J Armston, W Huang… - Remote sensing of …, 2020 - Elsevier
Synthetic aperture radar (SAR) sensors represent an indispensable data source for flood
disaster planners and responders, given their ability to image the Earth's surface nearly …

Interannual changes of coastal aquaculture ponds in China at 10-m spatial resolution during 2016–2021

M Wang, D Mao, X ** of building height using Sentinel-1 and Sentinel-2 time series
D Frantz, F Schug, A Okujeni, C Navacchi… - Remote Sensing of …, 2021 - Elsevier
Urban areas and their vertical characteristics have a manifold and far-reaching impact on
our environment. However, openly accessible information at high spatial resolution is still …

Remote sensing unveils the explosive growth of global offshore wind turbines

K Wang, W ** through Bayesian inference from a sentinel-1 SAR datacube
B Bauer-Marschallinger, S Cao, ME Tupas, F Roth… - Remote Sensing, 2022 - mdpi.com
Spaceborne Synthetic Aperture Radar (SAR) are well-established systems for flood
map**, thanks to their high sensitivity towards water surfaces and their independence …

High-frequency time series comparison of Sentinel-1 and Sentinel-2 satellites for map** open and vegetated water across the United States (2017–2021)

MK Vanderhoof, L Alexander, J Christensen… - Remote Sensing of …, 2023 - Elsevier
Frequent observations of surface water at fine spatial scales will provide critical data to
support the management of aquatic habitat, flood risk and water quality. Sentinel-1 and …

The normalised Sentinel-1 Global Backscatter Model, map** Earth's land surface with C-band microwaves

B Bauer-Marschallinger, S Cao, C Navacchi… - Scientific Data, 2021 - nature.com
We present a new perspective on Earth's land surface, providing a normalised microwave
backscatter map from spaceborne Synthetic Aperture Radar (SAR) observations. The …

[HTML][HTML] Soil moisture retrieval from Sentinel-1 using a first-order radiative transfer model—A case-study over the Po-Valley

R Quast, W Wagner, B Bauer-Marschallinger… - Remote Sensing of …, 2023 - Elsevier
Soil moisture is an important variable controlling many land surface processes and is used
to quantify precipitation, drought, flooding, irrigation and other factors that influence decision …

[HTML][HTML] Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest

AP Nicolau, A Flores-Anderson, R Griffin… - International Journal of …, 2021 - Elsevier
The Amazon is the largest expanse of tropical rainforest globally and deforestation resulting
from land use changes poses a major concern for sustainable resource management …

[HTML][HTML] Circumarctic land cover diversity considering wetness gradients

A Bartsch, A Efimova, B Widhalm, X Muri… - Hydrology and Earth …, 2024 - hess.copernicus.org
Land cover heterogeneity information considering soil wetness across the entire Arctic
tundra is of interest for a wide range of applications targeting climate change impacts and …