Results 31 to 40 of about 372 (164)

BRDF Estimations and Normalizations of Sentinel 2 Level 2 Data Using a Kalman-Filtering Approach and Comparisons with RadCalNet Measurements

open access: yesRemote Sensing, 2021
BRDF estimation aims to characterize the anisotropic behaviour of the observed surface, which is directly related to the type of surface. BRDF theoretical models are then used in the normalization of the satellite-derived observations to virtually ...
Bertrand Saulquin
doaj   +1 more source

INTEGRATION OF SENTINEL-2 AND LANDSAT-8 DATA FOR SURFACE REFLECTANCE TIME-SERIES ANALYSIS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Integration of Sentinel-2 and Landsat-8 imagery is a key factor to provide earth observation data at a global scale with higher temporal resolution. Integration of data from two sensors is possible with the consistent harmonized data framed in common ...
G. Berdou, S. Shrestha, M. Hahn
doaj   +1 more source

Application of Sentinel-2 MSI in Arctic Research: Evaluating the Performance of Atmospheric Correction Approaches Over Arctic Sea Ice

open access: yesFrontiers in Earth Science, 2019
Multispectral remote sensing may be a powerful tool for areal retrieval of biogeophysical parameters in the Arctic sea ice. The MultiSpectral Instrument on board the Sentinel-2 (S-2) satellites of the European Space Agency offers new possibilities for ...
Marcel König   +2 more
doaj   +1 more source

Forest 2200 nm/660 nm reflectance seasonality for improved satellite-image atmospheric correction

open access: yesMetsanduslikud Uurimused
A widely used algorithm, Sen2Cor, for the atmospheric correction of Sentinel-2 MSI images assumes a constant ratio of red (0.6 μm) and near-infrared (2.2 μm) spectral reflectance, taking ρ2.2/ρ0.6 = 2.
Lang Mait, Hallik Lea, Sims Allan
doaj   +1 more source

Clouds Classification from Sentinel-2 Imagery with Deep Residual Learning and Semantic Image Segmentation

open access: yesRemote Sensing, 2019
Detecting changes in land use and land cover (LULC) from space has long been the main goal of satellite remote sensing (RS), yet the existing and available algorithms for cloud classification are not reliable enough to attain this goal in an automated ...
Cheng-Chien Liu   +6 more
doaj   +1 more source

Snow Coverage Mapping by Learning from Sentinel-2 Satellite Multispectral Images via Machine Learning Algorithms

open access: yesRemote Sensing, 2022
Snow coverage mapping plays a vital role not only in studying hydrology and climatology, but also in investigating crop disease overwintering for smart agriculture management.
Yucheng Wang   +4 more
doaj   +1 more source

Identification of initial vegetation and habitat changes in small temperate fens using remote sensing

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Temperate fens with only incipient, subtle signs of deterioration can be reliably identified using Sentinel‐2 and aerial imagery, which sensitively detect early productivity‐related structural changes. Abstract Small temperate fens rank among the most endangered habitats in temperate Europe.
Lubomír Tichý   +9 more
wiley   +1 more source

Empirical line model for the atmospheric correction of sentinel-2A MSI images in the Caribbean Islands

open access: yesEuropean Journal of Remote Sensing, 2018
An Empirical Line Model (ELM) was tested to correct Sentinel-2A (MSI) images acquired in the tropical archipelago of San Andrés, Colombia. This approach uses a linear regression to model the relationship between the average ground reflectance and ...
Alexander Ariza   +2 more
doaj   +1 more source

Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data [PDF]

open access: yesEarth System Science Data, 2019
The Theia Snow collection routinely provides high-resolution maps of the snow-covered area from Sentinel-2 and Landsat-8 observations. The collection covers selected areas worldwide, including the main mountain regions in western Europe (e.g.
S. Gascoin   +6 more
doaj   +1 more source

Empirical and semi-empirical chlorophyll-a modeling for water quality assessment through river-lake transition in extreme Southern Brazil

open access: yesAnais da Academia Brasileira de Ciências, 2022
Mirim lagoon is the second largest lacustrine water body in Southern Brazil, providing water for local communities. However, algae growth and water quality in the lagoon and in tributaries rivers is influenced by nutrient’s increase.
CASSIA B. CABALLERO   +5 more
doaj   +1 more source

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