Assessing the Orange Tree Crown Volumes Using Google Maps as a Low-Cost Photogrammetric Alternative
The accurate assessment of tree crowns is important for agriculture, for example, to adjust spraying rates, to adjust irrigation rates or even to estimate biomass. Among the available methodologies, there are the traditional methods that estimate with a three-dimensional approximation figure, the HD...
| Main Authors: | , , , |
|---|---|
| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
MDPI
2020
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/8317 |
| _version_ | 1789406607675752448 |
|---|---|
| author | Marín Buzón, Carmen Pérez Romero, Antonio Miguel Tucci Álvarez, Fabio Manzano Agugliaro, Francisco |
| author_facet | Marín Buzón, Carmen Pérez Romero, Antonio Miguel Tucci Álvarez, Fabio Manzano Agugliaro, Francisco |
| author_sort | Marín Buzón, Carmen |
| collection | DSpace |
| description | The accurate assessment of tree crowns is important for agriculture, for example, to adjust spraying rates, to adjust irrigation rates or even to estimate biomass. Among the available methodologies, there are the traditional methods that estimate with a three-dimensional approximation figure, the HDS (High Definition Survey), or TLS (Terrestrial Laser Scanning) based on LiDAR technology, the aerial photogrammetry that has re-emerged with unmanned aerial vehicles (UAVs), as they are considered low cost. There are situations where either the cost or location does not allow for modern methods and prices such as HDS or the use of UAVs. This study proposes, as an alternative methodology, the evaluation of images extracted from Google Maps (GM) for the calculation of tree crown volume. For this purpose, measurements were taken on orange trees in the south of Spain using the four methods mentioned above to evaluate the suitability, accuracy, and limitations of GM. Using the HDS method as a reference, the photogrammetric method with UAV images has shown an average error of 10%, GM has obtained approximately 50%, while the traditional methods, in our case considering ellipsoids, have obtained 100% error. Therefore, the results with GM are encouraging and open new perspectives for the estimation of tree crown volumes at low cost compared to HDS, and without geographical flight restrictions like those of UAVs. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-8317 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-83172023-04-12T19:32:09Z Assessing the Orange Tree Crown Volumes Using Google Maps as a Low-Cost Photogrammetric Alternative Marín Buzón, Carmen Pérez Romero, Antonio Miguel Tucci Álvarez, Fabio Manzano Agugliaro, Francisco Google maps photogrammetry HDS TLS LiDAR tree crown UAV orange tree The accurate assessment of tree crowns is important for agriculture, for example, to adjust spraying rates, to adjust irrigation rates or even to estimate biomass. Among the available methodologies, there are the traditional methods that estimate with a three-dimensional approximation figure, the HDS (High Definition Survey), or TLS (Terrestrial Laser Scanning) based on LiDAR technology, the aerial photogrammetry that has re-emerged with unmanned aerial vehicles (UAVs), as they are considered low cost. There are situations where either the cost or location does not allow for modern methods and prices such as HDS or the use of UAVs. This study proposes, as an alternative methodology, the evaluation of images extracted from Google Maps (GM) for the calculation of tree crown volume. For this purpose, measurements were taken on orange trees in the south of Spain using the four methods mentioned above to evaluate the suitability, accuracy, and limitations of GM. Using the HDS method as a reference, the photogrammetric method with UAV images has shown an average error of 10%, GM has obtained approximately 50%, while the traditional methods, in our case considering ellipsoids, have obtained 100% error. Therefore, the results with GM are encouraging and open new perspectives for the estimation of tree crown volumes at low cost compared to HDS, and without geographical flight restrictions like those of UAVs. 2020-07-06T11:00:11Z 2020-07-06T11:00:11Z 2020-06-23 info:eu-repo/semantics/article 2073-4395 http://hdl.handle.net/10835/8317 en https://www.mdpi.com/2073-4395/10/6/893 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | Google maps photogrammetry HDS TLS LiDAR tree crown UAV orange tree Marín Buzón, Carmen Pérez Romero, Antonio Miguel Tucci Álvarez, Fabio Manzano Agugliaro, Francisco Assessing the Orange Tree Crown Volumes Using Google Maps as a Low-Cost Photogrammetric Alternative |
| title | Assessing the Orange Tree Crown Volumes Using Google Maps as a Low-Cost Photogrammetric Alternative |
| title_full | Assessing the Orange Tree Crown Volumes Using Google Maps as a Low-Cost Photogrammetric Alternative |
| title_fullStr | Assessing the Orange Tree Crown Volumes Using Google Maps as a Low-Cost Photogrammetric Alternative |
| title_full_unstemmed | Assessing the Orange Tree Crown Volumes Using Google Maps as a Low-Cost Photogrammetric Alternative |
| title_short | Assessing the Orange Tree Crown Volumes Using Google Maps as a Low-Cost Photogrammetric Alternative |
| title_sort | assessing the orange tree crown volumes using google maps as a low-cost photogrammetric alternative |
| topic | Google maps photogrammetry HDS TLS LiDAR tree crown UAV orange tree |
| url | http://hdl.handle.net/10835/8317 |
| work_keys_str_mv | AT marinbuzoncarmen assessingtheorangetreecrownvolumesusinggooglemapsasalowcostphotogrammetricalternative AT perezromeroantoniomiguel assessingtheorangetreecrownvolumesusinggooglemapsasalowcostphotogrammetricalternative AT tuccialvarezfabio assessingtheorangetreecrownvolumesusinggooglemapsasalowcostphotogrammetricalternative AT manzanoagugliarofrancisco assessingtheorangetreecrownvolumesusinggooglemapsasalowcostphotogrammetricalternative |