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 |
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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 | |
State | Published - 26 Sep 2020 |
Event | 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States Duration: 26 Sep 2020 → 2 Oct 2020 |
Publication series
Name | International Geoscience and Remote Sensing Symposium (IGARSS) |
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Conference
Conference | 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 |
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Country/Territory | United States |
City | Virtual, Waikoloa |
Period | 26/09/20 → 2/10/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- balsa tree
- GNDVI
- soil
- spatial estimation
- UAV