Biomass Estimation of <i>Agave durangensis</i> Gentry Using High-Resolution Images in Nombre de Dios, Durango
The high demand for distilled agave products reduces wild populations. The use of geospatial technologies such as unmanned aerial vehicles (UAVs) offer enormous benefits in spatial and temporal resolution and lower costs than traditional direct field observation techniques for natural resource monit...
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| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/6/6/148 |
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| author | Pablito Marcelo López-Serrano Gerardo A. Núñez-Fernández Rolando Alvarado-Barrera Emily García-Montiel Hugo Ramírez-Aldaba Melissa Bocanegra-Salazar |
| author_facet | Pablito Marcelo López-Serrano Gerardo A. Núñez-Fernández Rolando Alvarado-Barrera Emily García-Montiel Hugo Ramírez-Aldaba Melissa Bocanegra-Salazar |
| author_sort | Pablito Marcelo López-Serrano |
| collection | DOAJ |
| description | The high demand for distilled agave products reduces wild populations. The use of geospatial technologies such as unmanned aerial vehicles (UAVs) offer enormous benefits in spatial and temporal resolution and lower costs than traditional direct field observation techniques for natural resource monitoring. The objective was to estimate the green biomass (Wt) of <i>Agave durangensis</i> Gentry using high-resolution images obtained by a UAV in Nombre de Dios, Durango. Random sampling was performed in the agave area. A Pearson correlation analysis was performed, followed by a regression analysis. The results showed that NDVI was the most correlated (<i>r</i> = 0.65). The regression analysis showed that the model obtained explains 59% (RMSE = 32.06 kg) of the total variability in the estimation of green biomass (Wt) of agave using images derived from the UAV. The best estimate was achieved with B1, B2, NDVI, GNDVI, EVI2, and SAVI as predictor variables. High-resolution images were shown to be a tool for estimating Wt of <i>Agave durangensis</i> Gentry. |
| first_indexed | 2024-03-09T23:58:49Z |
| format | Article |
| id | doaj.art-da3b479810b74243b7795fb37dbd5b3d |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-03-09T23:58:49Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-da3b479810b74243b7795fb37dbd5b3d2023-11-23T16:21:20ZengMDPI AGDrones2504-446X2022-06-016614810.3390/drones6060148Biomass Estimation of <i>Agave durangensis</i> Gentry Using High-Resolution Images in Nombre de Dios, DurangoPablito Marcelo López-Serrano0Gerardo A. Núñez-Fernández1Rolando Alvarado-Barrera2Emily García-Montiel3Hugo Ramírez-Aldaba4Melissa Bocanegra-Salazar5Instituto de Silvicultura e Industria de la Madera, Universidad Juárez del Estado de Durango, Durango 34000, Durango, MexicoGeomática Forestal y Medio Ambiente S.C., Durango 34000, Durango, MexicoInstituto Tecnológico Superior de Santiago Papasquiaro, Santiago Papasquiaro 34630, Durango, MexicoFacultad de Ciencias Forestales y Ambientales, Universidad Juárez del Estado de Durango, Durango 34000, Durango, MexicoFacultad de Ciencias Forestales y Ambientales, Universidad Juárez del Estado de Durango, Durango 34000, Durango, MexicoFacultad de Ciencias Forestales y Ambientales, Universidad Juárez del Estado de Durango, Durango 34000, Durango, MexicoThe high demand for distilled agave products reduces wild populations. The use of geospatial technologies such as unmanned aerial vehicles (UAVs) offer enormous benefits in spatial and temporal resolution and lower costs than traditional direct field observation techniques for natural resource monitoring. The objective was to estimate the green biomass (Wt) of <i>Agave durangensis</i> Gentry using high-resolution images obtained by a UAV in Nombre de Dios, Durango. Random sampling was performed in the agave area. A Pearson correlation analysis was performed, followed by a regression analysis. The results showed that NDVI was the most correlated (<i>r</i> = 0.65). The regression analysis showed that the model obtained explains 59% (RMSE = 32.06 kg) of the total variability in the estimation of green biomass (Wt) of agave using images derived from the UAV. The best estimate was achieved with B1, B2, NDVI, GNDVI, EVI2, and SAVI as predictor variables. High-resolution images were shown to be a tool for estimating Wt of <i>Agave durangensis</i> Gentry.https://www.mdpi.com/2504-446X/6/6/148agaveUAVimagesNDVIgreen biomass |
| spellingShingle | Pablito Marcelo López-Serrano Gerardo A. Núñez-Fernández Rolando Alvarado-Barrera Emily García-Montiel Hugo Ramírez-Aldaba Melissa Bocanegra-Salazar Biomass Estimation of <i>Agave durangensis</i> Gentry Using High-Resolution Images in Nombre de Dios, Durango Drones agave UAV images NDVI green biomass |
| title | Biomass Estimation of <i>Agave durangensis</i> Gentry Using High-Resolution Images in Nombre de Dios, Durango |
| title_full | Biomass Estimation of <i>Agave durangensis</i> Gentry Using High-Resolution Images in Nombre de Dios, Durango |
| title_fullStr | Biomass Estimation of <i>Agave durangensis</i> Gentry Using High-Resolution Images in Nombre de Dios, Durango |
| title_full_unstemmed | Biomass Estimation of <i>Agave durangensis</i> Gentry Using High-Resolution Images in Nombre de Dios, Durango |
| title_short | Biomass Estimation of <i>Agave durangensis</i> Gentry Using High-Resolution Images in Nombre de Dios, Durango |
| title_sort | biomass estimation of i agave durangensis i gentry using high resolution images in nombre de dios durango |
| topic | agave UAV images NDVI green biomass |
| url | https://www.mdpi.com/2504-446X/6/6/148 |
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