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Giovanni Laneve

Associate Professor

Università degli Studi di Roma La Sapienza

Italy

Research Interests

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Professors in Italy Professors in Remote Sensing Remote Sensing professors in Italy

About

Giovanni Laneve is an Associate Professor at Università degli Studi di Roma La Sapienza in Italy. His research focuses on remote sensing applications, particularly using satellite imagery for environmental monitoring, precision agriculture, and natural disaster management. Recent articles include studies on oil spill detection, crop mapping using machine learning, and eutrophication control in lakes. He also explores advanced techniques in satellite data analysis and machine learning for better understanding ecological processes.

Articles (22)

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2021

Collaborators (8)

Chenghai Yang

UNITED STATES

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Federico Aulenta

Research Director

Consiglio Nazionale delle Ricerche

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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Raffaele CASA

Full Professor

University of Tuscia

ITALY

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Thomas Alexandridis

Assoc. professor of remote sensing and GIS in agriculture

Aristotle University of Thessaloniki

GREECE

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Stefania AMICI

Istituto Nazionale di Geofisica e Vulcanologia

ITALY

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Saham Mirzaei

National Research Council - Institute of Methodologies for Environmental Analysis

ITALY

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Giovanni Laneve

Research Interests

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Articles (22)

Retrieval of rice biophysical parameters from Sentinel‑2 using parsimonious multi‑output machine learning

A Multi-Sensor Framework for Methane Detection and Flux Estimation with Scale-Aware Plume Segmentation and Uncertainty Propagation from High-Resolution Spaceborne Imaging Spectrometers

Wheat Stripe Rust Regional Monitoring With Dynamic Multi-Indicator Weight Updating Method

A Sentinel-2-Based System to Detect and Monitor Oil Spills: Demonstration on 2024 Tobago Accident

Reply to Ayek, A.A.E.; Al-Saleh, A.H. Comment on “Kazemi Garajeh et al. Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine. Pollutants 2023, 3, 255–279”

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

Eutrophication and HAB Occurrence Control in Lakes of Different Origins: A Multi-Source Remote Sensing Detection Strategy

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

Analysing the Relationship between Spatial Resolution, Sharpness and Signal-to-Noise Ratio of Very High Resolution Satellite Imagery Using an Automatic Edge Method

Editorial for Special Issue: “Recent Progress in UAV-AI Remote Sensing”

Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine

Progress and Limitations in the Satellite-Based Estimate of Burnt Areas

Fuel Type Mapping Using a CNN-Based Remote Sensing Approach: A Case Study in Sardinia

Wildfire Detection Using Convolutional Neural Networks and PRISMA Hyperspectral Imagery: A Spatial-Spectral Analysis

Testing Sentinel-2 spectral configurations for estimating relevant crop biophysical and biochemical parameters for precision agriculture using tree-based and kernel-based algorithms

Monitoring Evolution of Coastline along Mto Tamamba Delta in Kenya North Coast Using Satellite Images

Integrated Platform for Wildfire Prevention and Management: The S2IGI Project

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

An Automatic Procedure for Forest Fire Fuel Mapping Using Hyperspectral (PRISMA) Imagery: A Semi-Supervised Classification Approach

Remote Sensing Detection of Algal Blooms in a Lake Impacted by Petroleum Hydrocarbons

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

Presenting a Semi-Automatic, Statistically-Based Approach to Assess the Sharpness Level of Optical Images from Natural Targets via the Edge Method. Case Study: The Landsat 8 OLI–L1T Data

Collaborators (8)

Chenghai Yang

Federico Aulenta

Lucia Mona

Nada Mzid

Raffaele CASA

Thomas Alexandridis

Stefania AMICI

Saham Mirzaei

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