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.
|Title of host publication||2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|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
|Name||International Geoscience and Remote Sensing Symposium (IGARSS)|
|Conference||2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020|
|Period||26/09/20 → 2/10/20|
Bibliographical notePublisher Copyright:
© 2020 IEEE.
- balsa tree
- spatial estimation