Alexander Jacob

Vice Head of Institute

Italy

Research Interests

Explore related searches

Professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Alexander Jacob is the Vice Head of Institute at Accademia Europea in Italy. His research focuses on advanced methodologies in hydrology and Earth observation, particularly leveraging machine learning techniques to enhance data processing and forecasting capabilities. Recent articles coalesce around themes of environmental monitoring and analysis, with significant contributions to understanding drought impacts, snow water equivalence, and land cover mapping through innovative data integration approaches.

Articles (9)

Year:

2025

Year:

2025

Year:

2024

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (6)

Tomasz Miksa

TU Wien

AUSTRIA

View details

Matthias Schramm

TU Wien

AUSTRIA

View details

Gopika Suresh

CSO/Head of Marble data and products

Marble Imaging

GERMANY

View details

Edzer Pebesma

Professor

Westfälische Wilhelms-Universität Münster

GERMANY

View details

Antonio Liotta

Full Professor (Data Science; Machine Learning; Intelligent Systems)

Free University of Bozen-Bolzano

ITALY

View details

Andreas Dietz

Head of Team "Polar and Cold Regions"

German Aerospace Center

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Alexander Jacob

Research Interests

Explore related searches

Contact this professor

About

Articles (9)

An Innovative Approach for Calibrating Hydrological Surrogate Deep Learning Models

Federated and reusable processing of Earth observation data

Short-Term Forecasting of Non-Stationary Time Series

Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022

On the Use of COSMO-SkyMed X-Band SAR for Estimating Snow Water Equivalent in Alpine Areas: A Retrieval Approach Based on Machine Learning and Snow Models

The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities

Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers

Time-Series of Sentinel-1 Interferometric Coherence and Backscatter for Crop-Type Mapping

Daily MODIS snow cover maps for the european alps from 2002 onwards at 250 m horizontal resolution along with a nearly cloud-free version

Collaborators (6)

Tomasz Miksa

Matthias Schramm

Gopika Suresh

Edzer Pebesma

Antonio Liotta

Andreas Dietz

Make your next move.