ESTIMATION OF NITROGEN IN THE SOIL OF BALSA TREES IN ECUADOR USING UNMANNED AERIAL VEHICLES

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Alvarez Mendoza, CI (Author) Other; Ana Teodoro (Author) FCUP; Quintana, J (Author) Other; Tituana, K (Author) Other

Conference proceedings International

Title: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

Pages: 4610-4613

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-00T-MHR

DOI: 10.1109/igarss39084.2020.9323953

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4