Space-time monitoring of water quality in an eutrophic reservoir using Sentinel-2 data-A case study of San Roque, Argentina

A Germán, M Shimoni, G Beltramone… - Remote Sensing …, 2021 - Elsevier
Eutrophic reservoirs are characterized by excessive presence of plant and algal growth due
to favourable environmental conditions, temperature, light and nutrients. Human activities …

A novel method based on time series satellite data analysis to detect algal blooms

A German, V Andreo, C Tauro, CM Scavuzzo… - Ecological …, 2020 - Elsevier
Water bodies eutrophication is a worldwide environmental problem characterized by
excessive phytoplankton growth which often includes occurrence of harmful algal blooms …

Evaluating the feasibility of using Sentinel-2 imagery for water clarity assessment in a reservoir

M Bonansea, M Ledesma, R Bazán, A Ferral… - Journal of South …, 2019 - Elsevier
The new Sentinel-2 satellites present a significant scientific opportunity for the study of water
quality. The objective of this study was to evaluate the suitability of Sentinel-2 imagery for …

Modeling short term rainfall forecast using neural networks, and Gaussian process classification based on the SPI drought index

S Azimi, M Azhdary Moghaddam - Water Resources Management, 2020 - Springer
Determining the quantitative occurrence of droughts, discovering the spatial correlation of
droughts, and predicting the occurrence of undesirable classes of drinking water quality and …

Probabilistic analysis of long-term climate drought using steady-state Markov chain approach

S Azimi, E Hassannayebi, M Boroun… - Water Resources …, 2020 - Springer
This study presents a steady-state Markov chain model to predict the long-term probability of
drought conditions. The research aims to propose a rigorous framework for statistical …

Identification of seasonal snow phase changes from C-band SAR time series with dynamic thresholds

G Beltramone, AC Frery, CH Rotela… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
In cryospheric studies, the most critical variable is estimating the beginning and evolution of
the seasonal snow accumulation and its melting process. We propose and evaluate a new …

Spectral monitoring of algal blooms in an eutrophic lake using sentinel-2

G Alba, F Anabella, S Marcelo… - IGARSS 2019-2019 …, 2019 - ieeexplore.ieee.org
Eutrophication is a process in which elevated organic matter and nutrients raises the primary
production of a water body. As a result, the productivity of phytoplankton and biomass are …

Forecasting lakes' chlorophyll concentrations using satellite images and generative adversarial networks

N Nagkoulis, G Vasiloudis… - Water Resources …, 2024 - Wiley Online Library
Satellite data are extensively used for water quality monitoring purposes, offering a
significantly reduced cost compared to in situ data sampling. Using past measurements to …

Spatial algal bloom characterization by landsat 8-oli and field data analysis

AG Alarcón, A German, A Aleksinkó… - IGARSS 2018-2018 …, 2018 - ieeexplore.ieee.org
Water pollution is an important problem around the world as it is closely related to human
and environmental health. Field campaigns are expensive, time consuming and may …

Wet snow detection in Patagonian Andes with Sentinel-1 SAR temporal series analysis in GEE

G Beltramone, M Scavuzzo, A German… - 2020 IEEE Congreso …, 2020 - ieeexplore.ieee.org
Winter snow packs in the Argentinean Andes are the primary source of surface runoff and
water supply in the adjacent lowlands. The socioeconomic, environmental, and recreational …