MODELING SPATIAL-TEMPORAL WINE YIELD BASED ON LAND SURFACE TEMPERATURE, VEGETATION INDICES AND GIS - THE CASE OF THE DOURO WINE REGION

• Type: Article in International Conference Proceedings Book
• Date: 2021

Authors

Moreira, P (Author) Other; Lia Duarte (Author) FCUP; Mario Cunha (Author) FCUP; Ana Teodoro (Author) FCUP

Conference proceedings International

Title: 2021 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM IGARSS

Pages: 6431-6434

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-00W-BRN

DOI: 10.1109/igarss47720.2021.9554857

Abstract (EN): This work aims to integrate Remote Sensing (RS) and cadastral data in QGIS software to perform the spatiotemporal mapping of Wine Yield (WY) cluster zones in the Douro region. Spatiotemporal modelling approach for prediction of wine yield was based on Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST) and topographic data. The results showed that 74% (R2 = 0.744, n=128, p<0.000) WY interannual variability at administrative division could be explained by the developed model. This information allows establishing wine production region pattern which can improve the agronomic and economic efficiency of vineyard and winery operations.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4