Publications

Characterizing Agri-Forestry Systems in Portugal Through High-Resolution Orthophotos and Convolutional Neural Networks

AuthID
P-00X-JYW

Author(s)

Morais, TG

Domingos, T

Teixeira, RFM

Editor(s)

Neale,CMU;Maltese,A

Document Type

Proceedings Paper

Year published

2022

Published

in REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XXIV in Proceedings of SPIE, ISSN: 0277-786X

Volume: 12262

Conference

Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology Xxiv Part of Spie Remote Sensing Conferene, Date: SEP 05-07, 2022, Location: Berlin, GERMANY, Sponsors: SPIE

Indexing

Wos^®

Scopus^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1117/12.2633872

Scopus: 2-s2.0-85142887341

Wos: WOS:000891771700006

Source Identifiers

ISSN: 0277-786X

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

Characterizing Agri-Forestry Systems in Portugal Through High-Resolution Orthophotos and Convolutional Neural Networks

Useful Links

Get Help

Federated Authentication (Click on the image)

Characterizing Agri-Forestry Systems in Portugal Through High-Resolution Orthophotos and Convolutional Neural Networks

Useful Links

Get Help