Simulated chlorophyll-a values with Delft3D – Experiment B2- Section 4
Simulated chlorophyll-a values with Delft3D – Experiment B2- Section 4
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Simulated hydrological data for Harsha Lake (ExpB4)
Simulated hydrological data for Harsha Lake (ExpB4)
Simulated surface water temperature for Lake Harsha (ExpB4)
Simulated surface water temperature for Lake Harsha (ExpB4)
Temperature data from UAV-based thermal sensor
Temperature data from UAV-based thermal sensor
True color images for Lake Hume using Landsat 8
True color images for Lake Hume using Landsat 8
True color images for Mulargia and Flumendosa reservoirs using Landsat 8
True color images for Mulargia and Flumendosa reservoirs using Landsat 8
True color images for William H Harsha Lake using Landsat 8
True color images for William H Harsha Lake using Landsat 8
True color images for Lake Hume using DESIS-fsr
True color images for Lake Hume using DESIS-fsr
True color images for Lake Hume using PRISMA
True color images for Lake Hume using PRISMA
True color images for Lake Hume using Sentinel 2
True color images for Lake Hume using Sentinel 2
Data Type
Remote Sensing (119) [-]
Sentinel 2 (31)
Landsat 8 (28)
DESIS (24)
PRISMA (18)
Aerial imaging (3)
NASA MODIS (2)
UAV-based (2)
ENVEO CRYOLAND (1)
ESA CCI (1)
Field measurements (1)
Hydrology (66) [-]
Simulated (60)
Observed (5)
Water quality (30) [-]
Simulated (17)
Observed (13)
Meteorology (21) [-]
Simulated (18)
Observed (2)
Reservoir Properties (5) [-]
Water balance data (3)
Bathymetry (2)
Case studies
Harsha Lake (77)
Mulargia reservoir (69)
Lake Hume (53)
Flumendosa reservoir (31)
Melbourne's WTP (19)
Umeälven (7)
Scientific Experiment
C2. Develop and benchmark data-driven algorithms to forecast the short-term dynamics of phytoplankton in surface waters reservoirs (71)
C1. Assess the relevance of hydrometeorological variables in phytoplankton dynamics of surface waters using data-driven modeling (69)
A1. Imaging spectrometry (21)
C3. Quantile-based modeling of phytoplankton dynamics using Random Forests (19)
B1. Assimilation of Earth Observation products and in-situ data in seasonal hydrological forecasting services (18)
B4. Developing an error-correcting complementary modeling approach for surface water quality (12)
A2. Multiscale Optical Data (6)
B2. Assimilation of Earth Observation products in water quality modelling (3)
Owner
SMHI (60)
EOMAP (58)
EMVIS (56)
CNR (45)
ENAS (10)
USEPA (9)