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[HTML][HTML] Landslide failures detection and map** using Synthetic Aperture Radar: Past, present and future
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …
dismantling mountains and contributing sediments to the river networks. Caused by …
[HTML][HTML] Sentinel-1 interferometric coherence as a vegetation index for agriculture
In this study, the use of Sentinel-1 interferometric coherence data as a tool for crop
monitoring has been explored. For this purpose, time series of images acquired by Sentinel …
monitoring has been explored. For this purpose, time series of images acquired by Sentinel …
Retrieval of digital elevation models from Sentinel-1 radar data–open applications, techniques, and limitations
A Braun - Open Geosciences, 2021 - degruyter.com
With the launch of Sentinel-1 in 2014, a new era of openly accessible spaceborne radar
imagery was begun, and its potential has been demonstrated throughout all fields of …
imagery was begun, and its potential has been demonstrated throughout all fields of …
Global seasonal Sentinel-1 interferometric coherence and backscatter data set
This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band
Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter …
Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter …
Time-series of Sentinel-1 interferometric coherence and backscatter for crop-type map**
A Mestre-Quereda, JM Lopez-Sanchez… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
The potential use of the interferometric coherence measured with Sentinel-1 satellites as
input feature for crop classification is explored in this study. A one-year time-series of …
input feature for crop classification is explored in this study. A one-year time-series of …
Mowing detection using Sentinel-1 and Sentinel-2 time series for large scale grassland monitoring
Managed grasslands cover about one third of the European utilized agricultural area.
Appropriate grassland management is key for balancing trade-offs between provisioning …
Appropriate grassland management is key for balancing trade-offs between provisioning …
An interpretable attention-based deep learning method for landslide prediction based on multi-temporal InSAR time series: A case study of **
Q Zhao, Q **e, X Peng, K Lai, J Wang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
This study investigates the application of coherence and backscattering, derived from time-
series Sentinel-1 synthetic aperture radar imagery of a crop season (18 scenes with a 12 …
series Sentinel-1 synthetic aperture radar imagery of a crop season (18 scenes with a 12 …
[HTML][HTML] Grassland mowing detection using sentinel-1 time series: Potential and limitations
Grasslands encompass vast and diverse ecosystems that provide food, wildlife habitat and
carbon storage. Their large range in land use intensity significantly impacts their ecological …
carbon storage. Their large range in land use intensity significantly impacts their ecological …
NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region
Annual crop monitoring is a key parameter for managing agricultural strategies. Several
studies have relied on remote sensing products such as the normalized difference …
studies have relied on remote sensing products such as the normalized difference …