UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions
This paper reviewed a set of twenty-one original and innovative papers included in a special issue on UAVs for vegetation monitoring, which proposed new methods and techniques applied to diverse agricultural and forestry scenarios. Three general categories were considered: (1) sensors and vegetation...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/11/2139 |
| _version_ | 1797532134273974272 |
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| author | Ana I. de Castro Yeyin Shi Joe Mari Maja Jose M. Peña |
| author_facet | Ana I. de Castro Yeyin Shi Joe Mari Maja Jose M. Peña |
| author_sort | Ana I. de Castro |
| collection | DOAJ |
| description | This paper reviewed a set of twenty-one original and innovative papers included in a special issue on UAVs for vegetation monitoring, which proposed new methods and techniques applied to diverse agricultural and forestry scenarios. Three general categories were considered: (1) sensors and vegetation indices used, (2) technological goals pursued, and (3) agroforestry applications. Some investigations focused on issues related to UAV flight operations, spatial resolution requirements, and computation and data analytics, while others studied the ability of UAVs for characterizing relevant vegetation features (mainly canopy cover and crop height) or for detecting different plant/crop stressors, such as nutrient content/deficiencies, water needs, weeds, and diseases. The general goal was proposing UAV-based technological solutions for a better use of agricultural and forestry resources and more efficient production with relevant economic and environmental benefits. |
| first_indexed | 2024-03-10T10:54:48Z |
| format | Article |
| id | doaj.art-9f33fcac686a4250aed637e878a59b39 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T10:54:48Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9f33fcac686a4250aed637e878a59b392023-11-21T21:58:09ZengMDPI AGRemote Sensing2072-42922021-05-011311213910.3390/rs13112139UAVs for Vegetation Monitoring: Overview and Recent Scientific ContributionsAna I. de Castro0Yeyin Shi1Joe Mari Maja2Jose M. Peña3National Agricultural and Food Research and Technology Institute-INIA, Spanish National Research Council (CSIC), 28040 Madrid, SpainDepartment of Biological Systems Engineering, University of Nebraska-Lincoln, 3605 Fair Street, Lincoln, NE 68583, USADepartment of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USAInstitute of Agricultural Sciences (ICA), Spanish National Research Council (CSIC), 28006 Madrid, SpainThis paper reviewed a set of twenty-one original and innovative papers included in a special issue on UAVs for vegetation monitoring, which proposed new methods and techniques applied to diverse agricultural and forestry scenarios. Three general categories were considered: (1) sensors and vegetation indices used, (2) technological goals pursued, and (3) agroforestry applications. Some investigations focused on issues related to UAV flight operations, spatial resolution requirements, and computation and data analytics, while others studied the ability of UAVs for characterizing relevant vegetation features (mainly canopy cover and crop height) or for detecting different plant/crop stressors, such as nutrient content/deficiencies, water needs, weeds, and diseases. The general goal was proposing UAV-based technological solutions for a better use of agricultural and forestry resources and more efficient production with relevant economic and environmental benefits.https://www.mdpi.com/2072-4292/13/11/2139droneRGBmultispectralhyperspectralthermalmachine learning |
| spellingShingle | Ana I. de Castro Yeyin Shi Joe Mari Maja Jose M. Peña UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions Remote Sensing drone RGB multispectral hyperspectral thermal machine learning |
| title | UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions |
| title_full | UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions |
| title_fullStr | UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions |
| title_full_unstemmed | UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions |
| title_short | UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions |
| title_sort | uavs for vegetation monitoring overview and recent scientific contributions |
| topic | drone RGB multispectral hyperspectral thermal machine learning |
| url | https://www.mdpi.com/2072-4292/13/11/2139 |
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