Comparative evaluation of performances of algae indices, pixel- and object-based machine learning algorithms in mapping floating algal blooms using Sentinel-2 imagery
Sign Up to like & getrecommendations! Published in 2024 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-023-02648-1
Abstract: One of the main threats to freshwater resources is pollution from anthropogenic activities such as rapid urbanization and excessive agricultural nutrient runoff. Remote sensing technologies have been effectively used in monitoring and mapping rapid changes… read more here.
Keywords: classification based; using sentinel; floating algal; algal blooms ... See more keywords
Remote estimates of CDOM using Sentinel-2 remote sensing data in reservoirs with different trophic states across China.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2021.112275
Abstract: Chromophoric dissolved organic matter (DOM) is called as CDOM which could affect the optical properties of surface waters, and is a useful parameter for monitoring complex inland aquatic systems. Large-scale monitoring of CDOM using remote-sensing… read more here.
Keywords: cdom using; using sentinel; trophic states; remote sensing ... See more keywords
Estimating tree canopy cover percentage in a mediterranean silvopastoral systems using Sentinel-2A imagery and the stochastic gradient boosting algorithm
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2017.1399480
Abstract: ABSTRACT The availability of accurate and updated spatial information of tree cover in semi-arid and arid silvopastoral systems (SPSs) is crucial to understand their spatial patterns and trends. Although remote-sensing techniques have been proved useful… read more here.
Keywords: tree canopy; using sentinel; estimating tree; canopy cover ... See more keywords
Development of the grass LAI and CCC remote sensing-based models and their transferability using sentinel-2 data in heterogeneous grasslands
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2023.2205982
Abstract: ABSTRACT Estimation of biophysical variables such as leaf area index (LAI) and canopy chlorophyll content (CCC) at high spatiotemporal resolution is important for managing natural and heterogeneous environments. However, accurate estimation of biophysical variables particularly… read more here.
Keywords: remote sensing; grass lai; using sentinel; ccc ... See more keywords
Recent glacier variations on Mount Melimoyu (44°50'S-72°51'W), Chilean Patagonia, using Sentinel-2 data
Sign Up to like & getrecommendations! Published in 2019 at "Geocarto International"
DOI: 10.1080/10106049.2018.1557262
Abstract: Abstract This work analyzed the application of Sentinel-2 multispectral imagery and GLIMS data for mapping glacier retreat and to estimate glacier area changes of Mount Melimoyu, located in northern Patagonia, Chile for the period between… read more here.
Keywords: recent glacier; using sentinel; area; mount melimoyu ... See more keywords
Freshwater lake inundation monitoring using Sentinel-1 SAR imagery in Eastern Uganda
Sign Up to like & getrecommendations! Published in 2020 at "Annals of GIS"
DOI: 10.1080/19475683.2020.1743754
Abstract: ABSTRACT In flood hazard assessment, little attention has been given to the seasonal observation of freshwater inundation using Sentinel-1 Synthetic-Aperture Radar (SAR) images in the tropics. To assess these spatial variations, this study examined the… read more here.
Keywords: using sentinel; inundation; riparian vegetation; freshwater lake ... See more keywords
Bathymetric Inversion and Mapping of Two Shallow Lakes Using Sentinel-2 Imagery and Bathymetry Data in the Central Tibetan Plateau
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3177227
Abstract: High-accuracy lake bathymetry and mapping are crucial for estimating lake water storage on the Tibetan Plateau (TP). In this article, we constructed traditional empirical (TE) models and machine learning (ML) models to compare the prediction… read more here.
Keywords: shallow lakes; bathymetry; accuracy; using sentinel ... See more keywords
Improving crop classification accuracy using Sentinel-1 C-SAR data and GAN-generated optical images
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.19.024505
Abstract: Abstract. We improve the classification accuracy for cultivated crops using Sentinel-1 C- SAR data by combining the backscatter coefficients of vertical–horizontal and vertical–vertical polarizations and their polarization ratio with optical images (true-color and infrared-color images)… read more here.
Keywords: classification accuracy; using sentinel; accuracy; sar data ... See more keywords
Modeling Gross Primary Production (GPP) of a Mediterranean Grassland in Central Spain Using Sentinel-2 NDVI and Meteorological Field Information
Sign Up to like & getrecommendations! Published in 2024 at "Agronomy"
DOI: 10.3390/agronomy14061243
Abstract: Mediterranean grasslands provide different ecosystems and social and economic services to the Mediterranean basin. Specifically, in Spain, pastures occupy more than 55% of the Spanish surface. Farmers and policymakers need to estimate the Gross Primary… read more here.
Keywords: information; sentinel ndvi; using sentinel; gpp mediterranean ... See more keywords
Efficient Argan Tree Deforestation Detection Using Sentinel-2 Time Series and Machine Learning
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15063231
Abstract: The argan tree (Argania spinosa) is a rare species native to southwestern Morocco, valued for its fruit, which produces argan oil, a highly prized natural product with nutritional, health, and cosmetic benefits. However, increasing deforestation… read more here.
Keywords: detection; using sentinel; argan tree; machine learning ... See more keywords
Air Pollution Trends and Predictive Modeling for Three Cities with Different Characteristics Using Sentinel-5 Satellite Data and Deep Learning
Sign Up to like & getrecommendations! Published in 2025 at "Atmosphere"
DOI: 10.3390/atmos16020211
Abstract: Accurate air quality forecasting is important in pollution prevention and risk reduction. Effective short-term and long-term forecasting models are needed. This study investigated the need for a new model to forecast air pollution concentrations in… read more here.
Keywords: three cities; using sentinel; air; air pollution ... See more keywords