Estimation of Nitrogen in the Soil of Balsa Trees in Ecuador Using Unmanned Aerial Vehicles

Cesar I. Alvarez-Mendoza, Ana Teodoro, Joselin Quintana, Karen Tituana

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

The use of remote sensing considering Unmanned Aerial Vehicles (UAV) is a recent alternative to collect data from different fields. One of the applications is related to soil parameter estimation considering different multispectral vegetation indexes. The typical use is to establish a relationship between the plant health and a vegetation index. However, this is a simple estimation where is not considered any field (soil) validation or real parameter estimation. Thus, this work aims to establish a model to estimate the percentage of nitrogen (N) in the soil, using vegetation indexes obtained from UAV and soil field measurements under balsa trees in Ecuador. The results show a high correlation between the Green Normalized Difference Vegetation Index (GNDVI) and the soil-nitrogen in comparison with other vegetation indexes, as the Normalized Vegetation Index (NDVI). Thus, this methodology allows to estimate the percentage of N to optimize the balsa production.

Idioma originalInglés
Título de la publicación alojada2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas4610-4613
Número de páginas4
ISBN (versión digital)9781728163741
DOI
EstadoPublicada - 26 sep. 2020
Evento2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, Estados Unidos
Duración: 26 sep. 20202 oct. 2020

Serie de la publicación

NombreInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conferencia

Conferencia2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
País/TerritorioEstados Unidos
CiudadVirtual, Waikoloa
Período26/09/202/10/20

Nota bibliográfica

Publisher Copyright:
© 2020 IEEE.

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