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 original | Inglés |
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Título de la publicación alojada | 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 4610-4613 |
Número de páginas | 4 |
ISBN (versión digital) | 9781728163741 |
DOI | |
Estado | Publicada - 26 sep. 2020 |
Evento | 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, Estados Unidos Duración: 26 sep. 2020 → 2 oct. 2020 |
Serie de la publicación
Nombre | International Geoscience and Remote Sensing Symposium (IGARSS) |
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Conferencia
Conferencia | 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 |
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País/Territorio | Estados Unidos |
Ciudad | Virtual, Waikoloa |
Período | 26/09/20 → 2/10/20 |
Nota bibliográfica
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