Data from airborne hyperspectral and Sentinel imagery to quantify winter wheat traits through ensemble modeling approaches

[Detailed description] The file ‘dataset_crop_VIs.xlsx’ contains treatment factors, agronomic variables of wheat at flowering and harvest (aboveground biomass dry weight, N concentration, yield and others defined in the key spreadsheet), vegetation indices calculated from the hyperspectral airborne imagery, water deficit index, vegetation indices calculated from Sentinel-2 satellite imagery, solar induce fluorescence and Sentinel-2 bands convolved with the hyperspectral airborne information. The file “airborne_reflectance_1nm.xlsx” contains treatment factors and the average spectra of each plot resampled to 1 nm measured extracted from the airborne hyperspectral imagery acquired in two different dates.

[Value of the data] The present dataset could help researchers and farmers to identify suitable genotypes and their responses to nitrogen and water stress. +The original images used are available under request to the authors. More detailed information about the dataset and methodology can be found in the article entitled “Airborne hyperspectral and Sentinel imagery to quantify winter wheat traits through ensemble modeling approaches” published in Precision Agriculture by Pancorbo et al. in 2023.

The dataset includes agronomical, spectral and thermal information derived from a field experiment sowed with winter wheat (Triticum aestivum L.) at La Chimenea farm station (40º04’N, 03º32’W, 550 m a.s.l.), near Aranjuez (Madrid, Spain) during two consecutive growing seasons: 2017/2018 and 2018/2019. Each year, it was established 32 plots that were randomly divided into 4 N levels (N0, N1, N2, N3) and two water levels (w1 and W2) with four replications. The N levels ranged from non-fertilized (N0) to over-fertilized (N3). The two water levels were established at the beginning of flowering by irrigating half of the plots (W2). Spectral and thermal measurements were collected from a hyperspectral and a thermal sensors onboard an aircraft. The hyperspectral imager covering the VNIR region (Hyperspec VNIR model, Headwall Photonics, Fitchburg, MA, USA) captured the reflected light between 400 and 850 nm.

Ministerio de Economía e Innovación, España. Ref.PID2021-124041OB-C21/22; PRE2018-084215; AGL2017-83283-C2-1-R. Ministerio de Educación, España. Ref. FPU17/01251. Comunidad de Madrid. Ref. AGRISOST-CM S2018/BAA-4330. Structural Funds 2014-2020 (ERDF and ESF).

Peer reviewed