M
Milad Niroumand-Jadidi
Researcher at fondazione bruno kessler
Publications - 23
Citations - 374
Milad Niroumand-Jadidi is an academic researcher from fondazione bruno kessler. The author has contributed to research in topics: Bathymetry & Computer science. The author has an hindex of 8, co-authored 18 publications receiving 193 citations. Previous affiliations of Milad Niroumand-Jadidi include Free University of Berlin & University of Trento.
Papers
More filters
Journal ArticleDOI
Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2
TL;DR: The results indicate the high potential of PRISMA level 2D imagery in mapping water quality parameters in Lake Trasimeno and thePRISMA-based retrievals agree well with those of Sentinel-2, particularly for TSM.
Journal ArticleDOI
Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon
TL;DR: The physics-based inversion demonstrated high potentials in retrieving both bathymetry and TSM using the PlanetScope imagery, and suggested that sizable atmospheric and sun-glint artifacts should be mitigated through the physics- based inversion using the surface reflectance products ofPlanetScope imagery.
Journal ArticleDOI
Multiple Optimal Depth Predictors Analysis (MODPA) for river bathymetry: Findings from spectroradiometry, simulations, and satellite imagery
Milad Niroumand-Jadidi,Milad Niroumand-Jadidi,Milad Niroumand-Jadidi,Alfonso Vitti,David R. Lyzenga +4 more
TL;DR: In this article, the authors introduced Multiple Optimal Depth Predictors Analysis (MODPA), which combines previously developed depth predictors along with additional predictors derived from the intensity component of the HSI color space transformation.
Journal ArticleDOI
Novel Spectra-Derived Features for Empirical Retrieval of Water Quality Parameters: Demonstrations for OLI, MSI, and OLCI Sensors
TL;DR: Examining novel features to retrieve in-water constituents including chlorophyll-a (Chl-a), total suspended solids (TSS), and colored dissolved organic matter (CDOM) suggests the effectiveness of the proposed features that can be leveraged to estimate the constituents in inland/coastal waters is suggested.
Journal ArticleDOI
SMART-SDB: Sample-specific multiple band ratio technique for satellite-derived bathymetry
TL;DR: In this article, a sample-specific multiple bAnd-ratio technique for satellite-derived bathymetry (SMART-SDB) is proposed to deal with the heterogeneity of the spectral data.