DKDFN: Domain knowledge-guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification

Y Li, Y Zhou, Y Zhang, L Zhong, J Wang… - ISPRS Journal of …, 2022 - Elsevier
Land use and land cover maps provide fundamental information that has been used in
different types of studies, ranging from public health to carbon cycling. However, the existing …

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 …

[HTML][HTML] Examining rice distribution and cropping intensity in a mixed single-and double-cropping region in South China using all available Sentinel 1/2 images

Y He, J Dong, X Liao, L Sun, Z Wang, N You… - International Journal of …, 2021 - Elsevier
Paddy rice agriculture in Southern China, especially Hunan Province, has been suffered
from soil contamination. Several policies including rice fallow and decreasing cropping …

Mapping coastal salt marshes in China using time series of Sentinel-1 SAR

Y Hu, B Tian, L Yuan, X Li, Y Huang, R Shi… - ISPRS Journal of …, 2021 - Elsevier
Salt marshes provide crucial ecological functions and services and are experiencing rapid
losses and degradation under global climate changes and high-intensity human activities in …

[HTML][HTML] Sentinel-1 interferometric coherence as a vegetation index for agriculture

A Villarroya-Carpio, JM Lopez-Sanchez… - Remote Sensing of …, 2022 - Elsevier
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 …

Continental-scale land cover mapping at 10 m resolution over Europe (ELC10)

ZS Venter, MAK Sydenham - Remote Sensing, 2021 - mdpi.com
Land cover maps are important tools for quantifying the human footprint on the environment
and facilitate reporting and accounting to international agreements addressing the …

Time-series of Sentinel-1 interferometric coherence and backscatter for crop-type mapping

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 …

A scalable earth observation service to map land cover in geomorphological complex areas beyond the dynamic world: an application in Aosta Valley (NW Italy)

T Orusa, D Cammareri, E Borgogno Mondino - Applied Sciences, 2022 - mdpi.com
Earth Observation services guarantee continuous land cover mapping and are becoming of
great interest worldwide. The Google Earth Engine Dynamic World represents a planetary …

Global seasonal Sentinel-1 interferometric coherence and backscatter data set

J Kellndorfer, O Cartus, M Lavalle, C Magnard, P Milillo… - Scientific Data, 2022 - nature.com
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 …

A Possible Land Cover EAGLE Approach to Overcome Remote Sensing Limitations in the Alps Based on Sentinel-1 and Sentinel-2: The Case of Aosta Valley (NW …

T Orusa, D Cammareri, E Borgogno Mondino - Remote Sensing, 2022 - mdpi.com
Land cover (LC) maps are crucial to environmental modeling and define sustainable
management and planning policies. The development of a land cover mapping continuous …