terclim by ICS banner
IVES 9 IVES Conference Series 9 Learning from remote sensing data: a case study in the Trentino region 

Learning from remote sensing data: a case study in the Trentino region 

Abstract

Recent developments in satellite technology have yielded a substantial volume of data, providing a foundation for various machine learning approaches. These applications, utilizing extensive datasets, offer valuable insights into Earth’s conditions. Examples include climate change analysis, risk and damage assessment, water quality evaluation, and crop monitoring. Our study focuses on exploiting satellite thermal and multispectral imaging, and vegetation indexes, such as NDVI, in conjunction with ground truth information about soil type, land usage (forest, urban, crop cultivation), and irrigation water sources in the Trentino region in North-East of Italy. Trentino, characterized by diverse landscapes ranging from forests to crop fields, is notable for its grapevine cultivation, a significant contributor to the Italian wine industry. Our research aims to analyze the past two decades of satellite data (NASA and Copernicus) using supervised and unsupervised learning methods. The objective is to develop models for soil classification, assessing crop health and growth stage (phenology), and optimizing water management practices, specifically in the context of tree crops (mainly vineyards and apple orchards) in this region. This analytical approach seeks to contribute to a more systematic understanding of the environmental and agricultural dynamics in Trentino, facilitating informed and sustainable land management practices.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Marco Moretto1*, Luca Delucchi1, Roberto Zorer1, Pietro Franceschi1

1 Research and Innovation Centre, Fondazione Edmund Mach, San Michele all’Adige (Trento), Italy

Contact the author*

Keywords

machine learning, remote sensing, Trentino, soil, water

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Chemical and biochemical formation of polysulfides in synthetic and real wines using UHPLC-HRMS

ulfur compounds in wine have been studied for several years due to their impact on wine flavour, but the role of polysulfides is a recent topic. Polysulfides in wine are formed when two sulfhydryl groups oxidize, especially in presence of elemental sulfur or metal catalysts from field treatment residues (Ugliano et al. 2011). These compounds are odourless, but can degrade during storage and affect the wine quality. The mechanism of their formation is still largely unknown but different chemical and biochemical pathways have been suggested. Disulfides from cysteine (Cys) and glutathione (GSH) have been revealed in model wines (Kreitman et al. 2016) and more recently also higher polymerized forms in real wines (Van Leeuwen et al. 2020). Volatile varietal thiols like 3-mercaptohexanol (3MH) and 4-mercaptopentanone (4MMP) – flavour compounds with tropical or fruity notes – could undergo similar reactions, also with Cys and GSH, subsequently losing their flavour property (fate). Even more concerning is the possible release of H2S from polysulfides during storage, leading to undesired off-flavours (Sarrazin et al. 2010).

Use of new tools for red wine aging: active and passive microoxygenation with oak wood. Effect on volatile compounds and sensorial impact

The aim of this study was to evaluate the evolution of different chemical parameters and sensory impact on red wine during maturation in barrels or with new technologies

Impact of mannoproteins structural features on the colloid stability when facing different kinds of wine polyphenols

The aim was to study the impact of structural features in the polysaccharide moiety of mannoproteins on their interaction with polyphenols and the formation of colloidal aggregates.

Synergistic effect of fumaric acid and chitosan on the inhibition of malolactic fermentation

During wine storage and aging, microorganisms capable of degrading malic acid in an undesirable manner can proliferate.