Which pixel is a forest? Tree crown delineation using VHR images to estimate tree cover in landsat based classification
Determining the percentage of tree crown cover is extremely important to establish in advance which forest types can be classified with high resolution sensors such as Landsat. This paper describes the determination of a tree crown coverage threshold to define whether a pixel is classified as a fore...
| Autores principales: | , , , , , , |
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| Formato: | Conferencia |
| Lenguaje: | Inglés |
| Publicado: |
IEEE Geoscience and Remote Sensing Society
2021
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/10496 https://igarss2021.com/call_for_papers.php# |
| _version_ | 1855484599864393728 |
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| author | Banchero, Santiago Veron, Santiago Ramón De Abelleyra, Diego Ferraina, Antonella Propato, Tamara Sofia Gomez Taffarel, Maria Cielo Dieguez, Hernán |
| author_browse | Banchero, Santiago De Abelleyra, Diego Dieguez, Hernán Ferraina, Antonella Gomez Taffarel, Maria Cielo Propato, Tamara Sofia Veron, Santiago Ramón |
| author_facet | Banchero, Santiago Veron, Santiago Ramón De Abelleyra, Diego Ferraina, Antonella Propato, Tamara Sofia Gomez Taffarel, Maria Cielo Dieguez, Hernán |
| author_sort | Banchero, Santiago |
| collection | INTA Digital |
| description | Determining the percentage of tree crown cover is extremely important to establish in advance which forest types can be classified with high resolution sensors such as Landsat. This paper describes the determination of a tree crown coverage threshold to define whether a pixel is classified as a forest or not. The methodology consists in the comparison of forest/non-forest classifications generated from Landsat images with tree crown cover maps obtained from PlanetScope very high resolution images, considering those pixels that exceed a given canopy cover threshold (eg. 5-10-15-...90-95-100%) as forest. The canopy coverage threshold was the one that minimized the difference between the Landsat classification and the maps generated from Planet images. |
| format | Conferencia |
| id | INTA10496 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IEEE Geoscience and Remote Sensing Society |
| publisherStr | IEEE Geoscience and Remote Sensing Society |
| record_format | dspace |
| spelling | INTA104962021-10-15T11:01:12Z Which pixel is a forest? Tree crown delineation using VHR images to estimate tree cover in landsat based classification Banchero, Santiago Veron, Santiago Ramón De Abelleyra, Diego Ferraina, Antonella Propato, Tamara Sofia Gomez Taffarel, Maria Cielo Dieguez, Hernán Image Processing Tratamiento de Imágenes Vegetation Cover Cubierta Vegetal planet scope alcance del planeta Unsupervised learning Aprendizaje sin supervisión Determining the percentage of tree crown cover is extremely important to establish in advance which forest types can be classified with high resolution sensors such as Landsat. This paper describes the determination of a tree crown coverage threshold to define whether a pixel is classified as a forest or not. The methodology consists in the comparison of forest/non-forest classifications generated from Landsat images with tree crown cover maps obtained from PlanetScope very high resolution images, considering those pixels that exceed a given canopy cover threshold (eg. 5-10-15-...90-95-100%) as forest. The canopy coverage threshold was the one that minimized the difference between the Landsat classification and the maps generated from Planet images. Fil: Banchero, S. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Verón, S. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires; Facultad de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: de Abelleyra, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Ferraina, A. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires; Facultad de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Propato, T. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires; Facultad de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Gomez Taffarel, María Cielo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Dieguez, Hernán. Universidad de Buenos Aires; Facultad de Agronomía; Argentina 2021-10-15T10:48:27Z 2021-10-15T10:48:27Z 2021-07-12 info:ar-repo/semantics/documento de conferencia info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion http://hdl.handle.net/20.500.12123/10496 https://igarss2021.com/call_for_papers.php# eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf IEEE Geoscience and Remote Sensing Society International Geoscience and Remote Sensing Symposium (IGARSS) Belgium 12-16 july, 2021 |
| spellingShingle | Image Processing Tratamiento de Imágenes Vegetation Cover Cubierta Vegetal planet scope alcance del planeta Unsupervised learning Aprendizaje sin supervisión Banchero, Santiago Veron, Santiago Ramón De Abelleyra, Diego Ferraina, Antonella Propato, Tamara Sofia Gomez Taffarel, Maria Cielo Dieguez, Hernán Which pixel is a forest? Tree crown delineation using VHR images to estimate tree cover in landsat based classification |
| title | Which pixel is a forest? Tree crown delineation using VHR images to estimate tree cover in landsat based classification |
| title_full | Which pixel is a forest? Tree crown delineation using VHR images to estimate tree cover in landsat based classification |
| title_fullStr | Which pixel is a forest? Tree crown delineation using VHR images to estimate tree cover in landsat based classification |
| title_full_unstemmed | Which pixel is a forest? Tree crown delineation using VHR images to estimate tree cover in landsat based classification |
| title_short | Which pixel is a forest? Tree crown delineation using VHR images to estimate tree cover in landsat based classification |
| title_sort | which pixel is a forest tree crown delineation using vhr images to estimate tree cover in landsat based classification |
| topic | Image Processing Tratamiento de Imágenes Vegetation Cover Cubierta Vegetal planet scope alcance del planeta Unsupervised learning Aprendizaje sin supervisión |
| url | http://hdl.handle.net/20.500.12123/10496 https://igarss2021.com/call_for_papers.php# |
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