Brinkhoff, James

Dunn, Brian W

Hart, Josh

Dunn, Tina

2020

This work examines the impact of image acquisition time on rice paddy remote sensing data in Yanco, NSW, Australia. The normalized difference red edge (NDRE) is an important vegetation index for rice paddy N status. Models of midseason N uptake were extracted using physical samples and NDRE data taken at multiple times of day from a UAV with multi-spectral camera. The best prediction error was 15.8 kg/ha. With a model extracted at 13:00 on 1 January, model predictions from 27 December to 11 January, at image times from 11:00 to 16:00, N uptake prediction errors were less than 28.5 kg/ha. Predictions from images acquired at times very different from the one used to extract the model are more erroneous.

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, p. 4355-4358

9781728163741

9781728163758

2153-7003

https://hdl.handle.net/1959.11/30313

Institute of Electrical and Electronics Engineers (IEEE)

Impact of UAV Time-of-Flight on Rice Nitrogen Uptake Models

Conference Publication

Publication