Published December 1, 2023 | Version 1.0

Hyperspectral imager acquisitions from SMART Soils Test Bed, 2022-04-18

  • 1. ROR icon University of California, Berkeley
  • 2. ROR icon Lawrence Berkeley National Laboratory
  • 1. Lawrence Berkeley National Laboratory
  • 2. ROR icon University of California, Berkeley

Description

Hyperpsectral imager data retrieved over the Lawrence Berkeley National Lab SMART Soils Test Bed on 2022-04-18 at three times (11:20, 12:34, 13:44). Radiance data (mW cm−2 μm−1 sr−1) subset to bands of interest over the Headwall Hyperspec Imager's 680-800nm range (680-682, 757-652, 769-772, and 778-780 nm) to retrieve RED, NIR, NDVI and SIF while minimizing file size. Data associated with Ruehr et al. 2023, 'Quantifying seasonal and diurnal cycles of solar-induced fluorescence with a novel hyperspectral imager,' submitted to Geophysical Research Letters in November 2023. Code for processing these data and descriptions of the files are available at https://github.com/sruehr/SIFretrieval.

Files

Files (7.6 GB)

Name Size
md5:d9a4a4c10e50ced6fa53deb614be03bc
2.5 GB Download
md5:8ea5a723f1c7a4fab5cbbec0e88ce6e7
3.3 kB Download
md5:e4ca97d329e47c9918a5704805530f0d
2.5 GB Download
md5:04d9585009e75aa0ee31fa0cb24381d0
3.3 kB Download
md5:b619477918bdd92c2d8d884a3d05d01c
2.5 GB Download
md5:448601155987f90b78d28f0dc8b2f073
3.3 kB Download

Additional details

Software

Repository URL
https://github.com/sruehr/SIFretrieval
Programming language
Python