3D Mapping Approach to Analyze the Evolution of Vegetation Using Multispectral Imagery

Simple item page
dc.contributor.authorJurado, Juan Manuelen_US
dc.contributor.authorOrtega, Lidiaen_US
dc.contributor.authorFeito, Francisco Ramónen_US
dc.contributor.editorGarcía-Fernández, Ignacio and Ureña, Carlosen_US
dc.date.accessioned2018-06-26T13:59:40Z
dc.date.available2018-06-26T13:59:40Z
dc.date.issued2018
dc.description.abstractThe 3D simulation for the evolution process of crop types requires the management of large volume of data to make an accurate analysis of functional and structural vegetation characteristics. In fact, current geomatics technologies allow the capture of massive and heterogeneous data with a great spatial resolution. Regarding research advances for precision agriculture applications Unmanned Aerial Vehicles (UAV)-based remote sensing offers great possibilities to acquire field data in a fast and reliable way. The main aim of this paper is twofold: (1) the study of multispectral imaging from UAVs for reflectance maps calculation, (2) 3D mapping and modeling using RGB and multispectral imagery in order to create a 3D NDVI (Normalized Difference Vegetation Index) point cloud. We are focussed on 4D inspection of olive trees including spatio-temporal data for reflectance change detection in multispectral remote sensing images.en_US
dc.description.sectionheadersData Analysis and Visualization
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)
dc.identifier.doi10.2312/ceig.20181166
dc.identifier.isbn978-3-03868-067-3
dc.identifier.pages129-132
dc.identifier.urihttps://doi.org/10.2312/ceig.20181166
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/ceig20181166
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectImage processing
dc.subjectMultispectral imaging
dc.subjectReflectance modeling
dc.title3D Mapping Approach to Analyze the Evolution of Vegetation Using Multispectral Imageryen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
129-132.pdf
Size:
2.81 MB
Format:
Adobe Portable Document Format
Download
Collections
CEIG18