Results 51 to 60 of about 372 (164)
Remote Sensing, 2019 The atmospheric contribution constitutes about 90 percent of the signal measured by satellite sensors over oceanic and inland waters. Over open ocean waters, the atmospheric contribution is relatively easy to correct as it can be assumed that water ...
Marcela Pereira-Sandoval +9 more
doaj +1 more source
Integration of Sentinel 1 and Sentinel 2 Satellite Images for Crop Mapping
Applied Sciences, 2021 Crop identification is key to global food security. Due to the large scale of crop estimation, the science of remote sensing was able to do well in this field.
Shilan Felegari +7 more
doaj +1 more source
Capturing Spatial Gradients of Water Color and Clarity in Subtropical Reservoirs During Drought
Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 3, March 2026.Abstract Reservoirs have spatial variation in water depth, suspended matter, and biogeochemistry that can influence patterns of water clarity and color. Spatial surveys with sensor‐equipped boats matched in time with satellite image acquisition provide data‐intensive avenues for understanding spatial patterns of optical properties within reservoirs. We
Malcolm S. Macleod +3 more
wiley +1 more source
Remote Sensing, 2022 Screening clouds, shadows, and snow is a critical pre-processing step in many remote-sensing data processing pipelines that operate on satellite image data from polar and high mountain regions.
Kamal Gopikrishnan Nambiar +4 more
doaj +1 more source
Vadose Zone Journal, Volume 25, Issue 1, January/February 2026.Abstract Soil salinity is a serious threat to crop productivity and is anticipated to increase in the coming decades, particularly in semi‐arid to arid agricultural regions. Accessible geospatial data and data mining techniques can enable high‐resolution mapping of soil salinity to improve predictions and soil management.
Milton Valencia‐Ortiz +6 more
wiley +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study proposes a Gated and Cross‐Dynamically Enhanced Network (GCD‐Net) for accurate extraction of offshore raft aquaculture from Sentinel‐2 imagery. GCD‐Net integrates novel gated residual blocks, cross‐guided attention, and dynamic attention ASPP modules to enhance feature representation and boundary precision.
Yu Wang +4 more
wiley +1 more source
Remote Sensing, 2016 This technical note presents the first Sentinel-2 data service platform for obtaining atmospherically-corrected images and generating the corresponding value-added products for any land surface on Earth (http://s2.boku.eodc.eu/). Using the European Space
Francesco Vuolo +8 more
doaj +1 more source
KappaMask: AI-Based Cloudmask Processor for Sentinel-2
Remote Sensing, 2021 The Copernicus Sentinel-2 mission operated by the European Space Agency (ESA) provides comprehensive and continuous multi-spectral observations of all the Earth’s land surface since mid-2015.
Marharyta Domnich +13 more
doaj +1 more source
Applied and Environmental Soil Science, Volume 2026, Issue 1, 2026.This study analyzed the spatiotemporal dynamics of land use and land cover (LULC) from 2016 to 2021 across six representative landscapes—Abaya Guangua, Arba Minch, Chencha, Hobicha, Loka Abaya, and Mierab Abaya—within the Abaya–Chamo sub‐basin (ACSB) of southern Ethiopia.
Melku D. Alemu +5 more
wiley +1 more source
Grass and Forage Science, Volume 80, Issue 3, July-September 2025.ABSTRACT Accurate estimation of forage yield is essential, as forage plays an indirect yet vital role in the global food supply. Various methods were developed to obtain quantitative forage yield estimates from remotely sensed data. This study's main goal was to estimate forage yield from Sentinel‐2 time series imagery from 2021 and 2022.
Nilda Sánchez +3 more
wiley +1 more source