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 …

[HTML][HTML] National-scale mapping 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 …

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

M Wang, D Mao, X Xiao, K Song, M Jia, C Ren… - Remote Sensing of …, 2023 - Elsevier
The rapid growth of coastal aquaculture has strongly supported global food security and
economic development of coastal areas in the past few decades but has also caused …

[HTML][HTML] Satellite-Based Flood Mapping 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
mapping, thanks to their high sensitivity towards water surfaces and their independence …

[HTML][HTML] The normalised Sentinel-1 Global Backscatter Model, mapping 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] 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 …

High-frequency time series comparison of Sentinel-1 and Sentinel-2 satellites for mapping 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 …

Remote sensing unveils the explosive growth of global offshore wind turbines

K Wang, W Xiao, T He, M Zhang - Renewable and Sustainable Energy …, 2024 - Elsevier
Clean energy has become an important component of the transition to a sustainable future,
of which offshore wind power is a promising clean energy source. However, there are still …

[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 …

Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data

A Bartsch, B Widhalm, M Leibman, K Ermokhina… - Remote Sensing of …, 2020 - Elsevier
The quantification of vegetation height for the circumpolar Arctic tundra biome is of interest
for a wide range of applications, including biomass and habitat studies as well as permafrost …