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Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images
Due to technology development related to agricultural production, aircrafts such as the Unmanned Aerial Vehicle (UAV) and technologies such as Multispectral photogrammetry and Remote Sensing, have great potential in supporting some of the pressing problems faced by agricultural production in terms o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6401525/ https://www.ncbi.nlm.nih.gov/pubmed/30891516 http://dx.doi.org/10.1016/j.heliyon.2019.e01277 |
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author | Saura, Jose Ramon Reyes-Menendez, Ana Palos-Sanchez, Pedro |
author_facet | Saura, Jose Ramon Reyes-Menendez, Ana Palos-Sanchez, Pedro |
author_sort | Saura, Jose Ramon |
collection | PubMed |
description | Due to technology development related to agricultural production, aircrafts such as the Unmanned Aerial Vehicle (UAV) and technologies such as Multispectral photogrammetry and Remote Sensing, have great potential in supporting some of the pressing problems faced by agricultural production in terms of analysis and testing of variables. This paper reports an experience related to the analysis of a vineyard with multispectral photogrammetry technology and UAVs and it demonstrates its great potential to analyze the Normalized Difference Vegetation Index (NDVI), the Near-Infrared Spectroscopy (NIRS) and the Digital Elevation Model (DEM) applied in the agriculture framework to collect information on the vegetative state of the crop, soil and plant moisture, and biomass density maps of. In addition, the collected information is analyzed with the PIX4D Cloud Computing technology software and its advantages over software that work with other data processing are highlighted. This research shows, therefore, the possibility that efficient plantations can be developed with the use of multispectral photogrammetry and the analysis of digital images from this process. |
format | Online Article Text |
id | pubmed-6401525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-64015252019-03-19 Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images Saura, Jose Ramon Reyes-Menendez, Ana Palos-Sanchez, Pedro Heliyon Article Due to technology development related to agricultural production, aircrafts such as the Unmanned Aerial Vehicle (UAV) and technologies such as Multispectral photogrammetry and Remote Sensing, have great potential in supporting some of the pressing problems faced by agricultural production in terms of analysis and testing of variables. This paper reports an experience related to the analysis of a vineyard with multispectral photogrammetry technology and UAVs and it demonstrates its great potential to analyze the Normalized Difference Vegetation Index (NDVI), the Near-Infrared Spectroscopy (NIRS) and the Digital Elevation Model (DEM) applied in the agriculture framework to collect information on the vegetative state of the crop, soil and plant moisture, and biomass density maps of. In addition, the collected information is analyzed with the PIX4D Cloud Computing technology software and its advantages over software that work with other data processing are highlighted. This research shows, therefore, the possibility that efficient plantations can be developed with the use of multispectral photogrammetry and the analysis of digital images from this process. Elsevier 2019-03-01 /pmc/articles/PMC6401525/ /pubmed/30891516 http://dx.doi.org/10.1016/j.heliyon.2019.e01277 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Saura, Jose Ramon Reyes-Menendez, Ana Palos-Sanchez, Pedro Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images |
title | Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images |
title_full | Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images |
title_fullStr | Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images |
title_full_unstemmed | Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images |
title_short | Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images |
title_sort | mapping multispectral digital images using a cloud computing software: applications from uav images |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6401525/ https://www.ncbi.nlm.nih.gov/pubmed/30891516 http://dx.doi.org/10.1016/j.heliyon.2019.e01277 |
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