Earth Observation Retrieval and Classification Algorithms for Agriculture

The objective of this paper was to assess the use of multi-frequency SAR data for the mapping and monitoring of the spatial and temporal variability of land surface parameters and agricultural practices. In particular, the focus was on the retrieval of surface soil moisture (SSM) and vegetation wate...

Full description

Saved in:
Bibliographic Details
Main Authors: Mattia, Francesco, Balenzano, Anna, Satalino, Giuseppe, Lovergine, Francesco, Palmisano, Davide, Nutini, Francesco, Boschetti, Mirco, Verza, Giorgia, Rinaldi, Michele, Ruggieri, Sergio, De Santis, Angelo Pio, Ciavarella, Francesco, Gomez, Vanessa Paredes, Garcia, David Alfonso Nafria, Tapete, Deodato
Format: Conference Proceeding
Language:English
Subjects:
agriculture
change detection
Classification algorithms
Energy resolution
Irrigation
Moisture
SAOCOM
SAR
Sentinel-1
Soil
soil moisture retrieval
Spatial resolution
tillage
Vegetation mapping
vegetation water content
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The objective of this paper was to assess the use of multi-frequency SAR data for the mapping and monitoring of the spatial and temporal variability of land surface parameters and agricultural practices. In particular, the focus was on the retrieval of surface soil moisture (SSM) and vegetation water content (VWC) and on the classification and monitoring of irrigation extent and tillage practices at high resolution. The paper illustrates the data basis collected over three European sites, namely Apulian Tavoliere (Southern Italy), Jolanda di Savoia (Northern Italy), and Castilla y Leon (Spain), and the main results.
ISSN:2153-7003
DOI:10.1109/IGARSS52108.2023.10283294