From the 1 of 6 linked papers with an AI index.
6 papers
Space2Ground 2.0: A Multi-Source Dataset and Framework for Agricultural Monitoring through Fusion of Street-Level and Satellite Imagery
Iason Tsardanidis, Alkiviadis Koukos, George Choumos +3
The paper introduces Space2Ground 2.0, a framework that combines satellite SAR/multispectral data with crowdsourced street‑level photos to create a parcel‑level agricultural monito…
Comparative Assessment of Multimodal Earth Observation Data for Soil Moisture Estimation
Ioannis Kontogiorgakis, Athanasios Askitopoulos, Iason Tsardanidis +4
Accurate soil moisture (SM) estimation is critical for precision agriculture, water resources management and climate monitoring. Yet, existing satellite SM products are too coarse…
Cloud gap-filling with deep learning for improved grassland monitoring
Iason Tsardanidis, Alkiviadis Koukos, Vasileios Sitokonstantinou +2
Uninterrupted optical image time series are crucial for the timely monitoring of agricultural land changes, particularly in grasslands. However, the continuity of such time series…
Monitoring digestate application on agricultural crops using Sentinel-2 Satellite imagery
Andreas Kalogeras, Dimitrios Bormpoudakis, Iason Tsardanidis +2
The widespread use of Exogenous Organic Matter in agriculture necessitates monitoring to assess its effects on soil and crop health. This study evaluates optical Sentinel-2 satelli…
Mapping of Weed Management Methods in Orchards using Sentinel-2 and PlanetScope Data
Ioannis Kontogiorgakis, Iason Tsardanidis, Dimitrios Bormpoudakis +5
Effective weed management is crucial for improving agricultural productivity, as weeds compete with crops for vital resources like nutrients and water. Accurate maps of weed manage…
Positive-Unlabeled Learning for Control Group Construction in Observational Causal Inference
Ilias Tsoumas, Dimitrios Bormpoudakis, Vasileios Sitokonstantinou +4
In causal inference, whether through randomized controlled trials or observational studies, access to both treated and control units is essential for estimating the effect of a tre…