Results 51 to 60 of about 128,890 (333)
Detection of Macroalgal Bloom from Sentinel−1 Imagery
Remote Sensing, 2023 The macroalgal bloom (MAB) is caused by brown algae forming a floating mat. Most of its parts stay below the water surface, unlike green algae; thus, its backscatter value becomes weaker in the synthetic aperture radar (SAR) images, such as Sentinel−1 ...
Sree Juwel Kumar Chowdhury +3 more
doaj +1 more source
Evaluation of the potential of Sentinel-1 and Sentinel-1 data for clay content mapping [PDF]
, 2020 <p>Soil texture is a key parameter in agricultural processes and an important measure for agricultural prediction, water cycle, filtering of pollutants and carbon storage. Besides, its estimation is essential for agronomists, hydrologists, geologists and environmentalists and for modeling in these application areas.
Bousbih, Safa +5 more
openaire +2 more sources
Copernicus Sentinel–1 POD reprocessing campaign
Advances in Space Research, 2022 Copernicus Sentinel–1 is a C-Band Synthetic Aperture Radar (SAR) satellite mission within the European Copernicus Programme. The two satellites Sentinel-1A and -1B were launched in April 2014 and 2016, respectively. The Copernicus POD (Precise Orbit Determination) Service is responsible for the determination of orbital and auxiliary products required ...
Fernández, Marc (author) +11 more
openaire +4 more sources
Circum-Arctic changes in the flow of glaciers and ice caps from satellite SAR data between the 1990s and 2017 [PDF]
, 2017 We computed circum-Arctic surface velocitymaps of glaciers and ice caps over the Canadian Arctic, Svalbard and the Russian Arctic for at least two times between the 1990s and 2017 using satellite SAR data.
Kääb, Andreas +4 more
core +5 more sources
BiomimeticsThe ability to perceive biological motion is crucial for human survival, social interactions, and communication. Over the years, researchers have studied the mechanisms and neurobiological substrates that enable this ability.
Khashayar Misaghian +2 more
doaj +1 more source
Remote Sensing, 2018 Aquaculture makes a crucial contribution to global food security and protein intake and is a basis for many livelihoods. Every second fish consumed today is produced in aquaculture systems, mainly in land-based water ponds situated along the coastal ...
Marco Ottinger +2 more
doaj +1 more source
Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches [PDF]
, 2014 Accurate inventories of grasslands are important for studies of carbon dynamics, biodiversity conservation and agricultural management. For regions with persistent cloud cover the use of multi-temporal synthetic aperture radar (SAR) data provides an ...
Barrett, Brian +3 more
core +1 more source
Redai dili, 2021 Guangdong Province has the largest extent of coastal aquaculture in China. Quantitative analysis of the spatial distribution pattern and evolution trend of on-land artificial aquaculture bases in the coastal areas of Guangdong Province has great ...
Huang Senwen, Wei Chunzhu
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Multi-Temporal Sentinel-1 Backscatter and Coherence for Rainforest Mapping
Remote Sensing, 2020 This paper reports recent advancements in the field of Synthetic Aperture Radar (SAR) for forest mapping by using interferometric short-time-series.
Andrea Pulella +4 more
doaj +1 more source
Identifikacija območij vetroloma na podlagi časovne vrste s podatki C-SAR ( = Windthrow identification with C-SAR time series) [PDF]
Geodetski Vestnik, 2020 A strong windthrow affected many forests in Slovenia and northern Italy on the night of the 29th and the 30th of October, 2018. In this paper, we propose a new methodology for windthrow identification, comprising two new indexes, PCA-CI for evaluating ...
Alen Mangafić +2 more
doaj +1 more source