Rice yield estimation using multispectral data from UAV: A preliminary experiment in northern Italy

Autor:	Carlo Franchino, Alberto Crema, Daniela Stroppiana, Valter Chiarabini, Mauro Migliazzi, Paolo Villa, Mauro Musanti
Rok vydání:	2015
Předmět:	rice UAV Yield (wine) Crop yield Radiometry Paddy field Environmental science Spatial variability Vegetation Precision agriculture crop yield Northern italy Remote sensing
Zdroj:	IGARSS International Geoscience and Remote Sensing Symposium 2015 (IGARSS 2015), pp. 4664–4667, Milan, 26-31/07 2015 info:cnr-pdr/source/autori:Daniela Stroppiana, Mauro Migliazzi, Valter Chiarabini, Alberto Crema, Mauro Musanti, Paolo Villa/congresso_nome:International Geoscience and Remote Sensing Symposium 2015 (IGARSS 2015)/congresso_luogo:Milan/congresso_data:26-31%2F07 2015/anno:2015/pagina_da:4664/pagina_a:4667/intervallo_pagine:4664–4667
DOI:	10.1109/igarss.2015.7326869
Popis:	UAVs platforms are promising for agricultural monitoring since they offer operating flexibility, very high spatial resolution and acquisition costs suitable for frequent on demand monitoring of crop field. In this work we carried out an experimental flight over a rice field in Lombardy region, northern Italy, to test the correlation between reflectance in the spectral channels and vegetation indices derived from imagery acquired with a multi-spectral sensor on board an UAV. Results show that UAV images can be used to map the within-field spatial variability and crop yield (R2~0.42-0.54 between NIR reflectance and/or spectral VIs and rice grain yield) and can successfully complement more traditional technologies for precision farming applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cef858621f1cd5bc327d06c6f80ded15 https://doi.org/10.1109/igarss.2015.7326869 Zobrazit plný text záznamu