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

doi:10.1109/IGARSS39084.2020.9323953

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

Grupo de Investigación Ambiental para el Desarrollo Sustentable (GIADES)

Research output: Conference contribution › peer-review

6 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4610-4613
Number of pages	4
ISBN (Electronic)	9781728163741
DOIs	https://doi.org/10.1109/IGARSS39084.2020.9323953
Publication status	Published - 26 Sept 2020
Event	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States Duration: 26 Sept 2020 → 2 Oct 2020

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Country/Territory	United States
City	Virtual, Waikoloa
Period	26/09/20 → 2/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

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Alvarez-Mendoza, C. I., Teodoro, A., Quintana, J., & Tituana, K. (2020). Estimation of Nitrogen in the Soil of Balsa Trees in Ecuador Using Unmanned Aerial Vehicles. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings (pp. 4610-4613). Article 9323953 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS39084.2020.9323953

Alvarez-Mendoza, Cesar I. ; Teodoro, Ana ; Quintana, Joselin et al. / Estimation of Nitrogen in the Soil of Balsa Trees in Ecuador Using Unmanned Aerial Vehicles. 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 4610-4613 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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title = "Estimation of Nitrogen in the Soil of Balsa Trees in Ecuador Using Unmanned Aerial Vehicles",

abstract = "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.",

keywords = "balsa tree, GNDVI, soil, spatial estimation, UAV",

author = "Alvarez-Mendoza, \{Cesar I.\} and Ana Teodoro and Joselin Quintana and Karen Tituana",

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Alvarez-Mendoza, CI, Teodoro, A, Quintana, J & Tituana, K 2020, Estimation of Nitrogen in the Soil of Balsa Trees in Ecuador Using Unmanned Aerial Vehicles. in 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings., 9323953, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 4610-4613, 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Virtual, Waikoloa, United States, 26/09/20. https://doi.org/10.1109/IGARSS39084.2020.9323953

Estimation of Nitrogen in the Soil of Balsa Trees in Ecuador Using Unmanned Aerial Vehicles. / Alvarez-Mendoza, Cesar I.; Teodoro, Ana; Quintana, Joselin et al.
2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 4610-4613 9323953 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Conference contribution › peer-review

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AU - Teodoro, Ana

AU - Quintana, Joselin

AU - Tituana, Karen

PY - 2020/9/26

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N2 - 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.

AB - 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.

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Alvarez-Mendoza CI, Teodoro A, Quintana J, Tituana K. Estimation of Nitrogen in the Soil of Balsa Trees in Ecuador Using Unmanned Aerial Vehicles. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 4610-4613. 9323953. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS39084.2020.9323953

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

Abstract

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