Raffaele CASA

Full Professor

University of Tuscia

Italy

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About

Raffaele Casa is a Full Professor at the University of Tuscia, Italy. His research focuses on digital soil mapping, remote sensing, and machine learning applications in agriculture. Recent publications include studies on soil reflectance, paddy rice mapping, and soil nutrient prediction using hyperspectral data. He is also involved in evaluating the performance of satellite data for agricultural soil property retrieval.

Articles (15)

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (5)

Simone Priori

Associated Professor

Università degli Studi di Torino

ITALY

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Giovanni Laneve

Associate Professor

Università degli Studi di Roma La Sapienza

ITALY

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Lucia Mona

National Research Council - Institute of Methodologies for Environmental Analysis

ITALY

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Nada Mzid

University of Tuscia

ITALY

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Saham Mirzaei

National Research Council - Institute of Methodologies for Environmental Analysis

ITALY

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Raffaele CASA

Research Interests

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About

Articles (15)

Early-Season Crop Mapping by PRISMA Images Using Machine/Deep Learning Approaches: Italy and Iran Test Cases

Predicting soil nutrients with PRISMA hyperspectral data at the field scale: the Handan (south of Hebei Province) test cases

Soil Reflectance Composite for Digital Soil Mapping in a Mediterranean Cropland District

Accurate Paddy Rice Mapping Based on Phenology-Based Features and Object-Based Classification

Ensemble Band Selection for Quantification of Soil Total Nitrogen Levels from Hyperspectral Imagery

Soil properties zoning of agricultural fields based on a climate-driven spatial clustering of remote sensing time series data

Hyperspectral Mixture Models in the CHIME Mission Implementation for Topsoil Texture Retrieval

Performance of a Portable FT-NIR MEMS Spectrometer to Predict Soil Features

PRISMA L1 and L2 Performances within the PRISCAV Project: The Pignola Test Site in Southern Italy

Evaluation of Agricultural Bare Soil Properties Retrieval from Landsat 8, Sentinel-2 and PRISMA Satellite Data

Sino–EU Earth Observation Data to Support the Monitoring and Management of Agricultural Resources

Estimating Vertical Distribution of Leaf Water Content within Wheat Canopies after Head Emergence

Synergistic Use of Multispectral Data and Crop Growth Modelling for Spatial and Temporal Evapotranspiration Estimations

An Analysis of Bare Soil Occurrence in Arable Croplands for Remote Sensing Topsoil Applications

Dynamic Crop Models and Remote Sensing Irrigation Decision Support Systems: A Review of Water Stress Concepts for Improved Estimation of Water Requirements

Collaborators (5)

Simone Priori

Giovanni Laneve

Lucia Mona

Nada Mzid

Saham Mirzaei

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