Conference Agenda

The conference agenda provides an overview and details of sessions. In order to view sessions on a specific day or for a certain room, please select an appropriate date or room link. You may also select a session to explore available abstracts and download papers and presentations.

 
Session Overview
Session
10-11: Remote sensing and deep learning for agricultural productivity
Time:
Thursday, 28/Mar/2019:
10:30am - 12:00pm

Session Chair: Felix Rembold, Joint Research Centre of the European Commission, Italy
Location: MC C1-100

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Presentations
ID: 1227 / 10-11: 1
Individual Papers
Topics: Use of remote sensing and land use policy
Keywords: remote sensing, land use, environmental regulations

Use of earth observation and land parcel identification in supporting the implementation of the common agricultural policy

Felix Rembold

Joint Research Centre of the European Commission, Italy

10-11-Rembold-1227_ppt.pptx


ID: 1192 / 10-11: 2
Individual Papers
Topics: Use of remote sensing and land use policy
Keywords: Land use, remote sensing, classification, machine learning

Satellite crop monitoring within World Bank project on land management transparency in Ukraine

Nataliia Kussul1, Denys Nizalov2, Andrii Shelestov1, Mykola Lavreniuk3, Sergii Skakun4, Andrii Kolotii1, Vladimir Vasiliev5, Eugene Karlov5

1Space Research Institute of National Academy of Sciences of Ukraine and State Space Agency of Ukraine; 2University of Kent/ KEI at KSE, United Kingdom; 3National Technical University of Ukraine, Ukraine; 4University of Maryland College Park, United States of America; 5EOS Data Analytics, Ukraine

10-11-Kussul-1192_paper.pdf
10-11-Kussul-1192_ppt.pptx


ID: 758 / 10-11: 3
Individual Papers
Topics: New ways of land data capture & analysis (incl. machine learning)
Keywords: Google Street View imagery, Image classification, Food cultivation practices, Deep learning, Convolutional neural network

Proximate sensing of food types and land uses in Thailand using street-level photography and deep learning

Martha Bohm, John Ringland, So-Ra Baek

University at Buffalo, United States of America

10-11-Bohm-758_paper.pdf
10-11-Bohm-758_ppt.pptx


 
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