Ítalo Moletto‐Lobos

Contribution to the LAI4EO Consortium with UV-UCG measurements

B. Franch, Katarzyna Cyran, Ítalo Moletto‐Lobos, Javier Tarín-Mestre et autres

This is the dataset curated by the UV-UCG team containing in-situ LAI measurements from Spain, including wheat and rice crops. This dataset is ment to be shared with the LAI4EO Consortium.

es, us (code pays fourni par la source)

Contribution to the LAI4EO Consortium with UV-UCG measurements

B. Franch, Katarzyna Cyran, Ítalo Moletto‐Lobos, Javier Tarín-Mestre et autres

This is the dataset curated by the UV-UCG team containing in-situ LAI measurements from Spain, including wheat and rice crops. This dataset is ment to be shared with the LAI4EO Consortium.

es, us (code pays fourni par la source)

WorldCereal crop calendars

Ítalo Moletto‐Lobos, B. Franch, Andreu Guillem-Valls, Katarzyna Cyran et autres

This dataset contains the global crop calendar training and validation data used in the manuscript “Enhancing WorldCereal crop calendars with land surface phenology and machine learning” (Moletto-Lobos et al., 2026). It includes harmonized reference crop calendar points derived from GEOGLAM Crop Monitor, …

es, us, fr, be, at (code pays fourni par la source)

Application of the Thermo-RAdiometric Normalization of Crop Observations (TRANCO) Back in Time: An Assessment of the Potential for Crop Time-Series Generalization to Past Years Using Wheat as a Proxy

Juanma Cintas, Emilio Guirado, Jaime Martínez-Valderrama, Ítalo Moletto‐Lobos et autres

Crop type maps are essential for food security. However, there is a gap in information for worldwide maps that, at the same time, cover a wide period of time. The inability of classification algorithms to generalize information across years is one of …

es, us, sa (code pays fourni par la source)

The yield strikes back: Enhancing the transferability of field scale wheat and barley yield models by leveraging Sentinel-1/2

Belen Franch, Ítalo Moletto‐Lobos, Javier Tarín-Mestre, Lucio Mascolo et autres

• Proposed strategy to enhance EO-based yield models’ transferability. • Thermal normalization via GDD accumulation is critical. • Developed simple yield indices based on Sentinel-2 or integrating Sentinel-1. • Indices using the SWIR B11 band show the best and most stable performances …

es, us (code pays fourni par la source)

WorldCereal crop calendars

Ítalo Moletto‐Lobos, Belen Franch, Andreu Guillem-Valls, Katarzyna Cyran et autres

This dataset contains the global crop calendar training and validation data used in the manuscript “Enhancing WorldCereal Crop Calendars with Land Surface Phenology and Machine Learning” (Moletto-Lobos et al., 2025). It includes harmonized reference crop calendar points derived from GEOGLAM Crop Monitor, …

es, us, fr, be, at (code pays fourni par la source)

Retrieving crop phenology at field-scale in the Nile Delta based on Sen2Like and PlanetScope data

Katarzyna Cyran, B. Franch, Eatidal Amin, Santiago Belda et autres

Monitoring crop phenology is crucial for improving agricultural management and supporting food security, especially in low- and middle-income (LMIC) countries like Egypt, where smallholder farms account for most food production. This study evaluates the potential of fused Sentinel-2 and Landsat 8/9 data, …

es, us, fr, it, Égypte, Afrique du Sud (code pays fourni par la source)

Optical and Thermal Data Integration to Analyze the Impact of the Mealybug Pest on Citrus Trees

Fàtima Della, B. Franch, Dražen Skoković, A. San Bautista et autres

es, us (code pays fourni par la source)

Enhancing Worldcereal Crop Calendars with Land Surface Phenology and Machine Learning

Ítalo Moletto‐Lobos, B. Franch, Andreu Guillem-Valls, Natacha Kalecinski et autres

es, us, hu, de, fr (code pays fourni par la source)

The Yield strikes back: enhancing the transferability of field scale Wheat and Barley yield models by Leveraging Sentinel-1 and Sentinel-2

B. Franch, Ítalo Moletto‐Lobos, Javier Tarín-Mestre, Lucio Mascolo et autres

es, it, us (code pays fourni par la source)

Mapping rice and wheat crops in Egypt’s Nile Delta using Sentinel-2 from 2018 to 2022

César José Guerrero Benavent, B. Franch, G. Sòria, Ítalo Moletto‐Lobos et autres

Mapping crop types is vital for quantifying cultivated areas and supports agricultural statistics, land use analysis, and crop yield predictions. This study focuses on creating accurate rice and wheat crop type masks in Egypt’s Nile Delta, specifically in the Gharbia governorate, from …

es, us (code pays fourni par la source)

Evaluating PlanetScope and UAV Multispectral Data for Monitoring Winter Wheat and Sustainable Fertilization Practices in Mediterranean Agroecosystems

Ítalo Moletto‐Lobos, Luciano Orden, Silvia Sánchez-Méndez, B. Franch et autres

Cereal crops play a critical role in global food security, but their productivity is increasingly threatened by climate change. This study evaluates the feasibility of using PlanetScope satellite imagery and a UAV equipped with the MicaSense RedEdge multispectral imaging sensor in monitoring …

es, ar, us, de (code pays fourni par la source)