READ ME File For 'Data supporting the thesis: Advancing New and Emerging Techniques to Facilitate Routine Quality Assessment of Satellite-Derived Vegetation Products' Dataset DOI: 10.5258/SOTON/D2038 ReadMe Author: Luke A. Brown, University of Southampton ORCID ID 0000-0003-4807-9056 This dataset supports the thesis entitled 'Advancing New and Emerging Techniques to Facilitate Routine Quality Assessment of Satellite-Derived Vegetation Products' AWARDED BY: University of Southampton DATE OF AWARD: 2021 DESCRIPTION OF THE DATA This dataset contains: a) In situ leaf area index (LAI) and leaf chlorophyll concentration (LCC) measurements over the New Forest in 2016 ('new_forest_lai_lcc_2016.xlsx'). - Measurements were made in nine 40 m x 40 m elementary sampling units (ESUs); - LAI was derived through digital hemispherical photography (DHP) using a Nikon Coolpix 4500 and FC-E8 fisheye lens; - LCC was derived using a Konica Minolta SPAD-502 chlorophyll meter; - Further details on data collection and processing are available in the thesis and related publication (see below). - Worksheets of the file correspond to: i) the mean and standard deviation of LAI (unitless) and LCC (g m^-2) in each ESU, per measurement date expressed as day of year (DOY); ii) LAI and LCC values for each ESU, provided daily using double logistic functions for temporal interpolation; iii) canopy chlorophyll content (CCC) (g m^-2), derived as the product of the temporally interpolated LAI and LCC values; iv) the latitude and longitude of each ESU, as determined using a Garmin eTrex H global positioning system (GPS) receiver. b) Time-series of LAI and the green chromatic coordinate (GCC) over Wytham Woods in 2018/19 ('wytham_woods_lai_gcc_2018-19.xlsx'). - LAI and GCC time-series were derived using automated digital repeat photography from the canopy walkway; - LAI was derived through below-canopy DHP using a Canon EOS 6D and Sigma 8 mm F3.5 EX DG fisheye lens; - The GCC was derived using an above-canopy Canon EOS 6D and 28-125 mm F3.5-5.6 IS USM lens; - Both digital cameras were enclosed in a Harbortronics Cyclapse housing and controlled via a DigiSnap Pro intervalometer. - Further details on data collection and processing are available in the thesis and related publication (see below). - Worksheets of the file correspond to: i) Unscreened GCC, plant area index (PAI), and LAI values, at their native temporal resolution (30 minutes); ii) Screened GCC, PAI, and LAI values (daily maximum); iii) Interpolated GCC, PAI, and LAI values (using double logistic and modified double logistic functions); iv) PAI and LAI derived from manual DHP sampling within the surrounding 40 m × 40 m plot under optimal illumination conditions. Date of data collection: - New Forest: 10th April 2016 to 2nd November 2016; - Wytham Woods: 12th April 2018 to 10th May 2019. Information about geographic location of data collection: - New Forest National Park, Hampshire, United Kingdom (50.8498°N, 1.5741°W); - Wytham Woods, Oxfordshire, United Kingdom (51.7734°N, 1.3384°W). Licence: - Creative Commons Attribution (CC BY). Related projects/Funders: - European Space Agency; - University of Southampton (Vice-Chancellor's Scholarship). Related publications: - Brown, L.A., Ogutu, B.O., and Dash, J. 2019. Estimating forest leaf area index and canopy chlorophyll content with Sentinel-2: an evaluation of two hybrid retrieval algorithms, Remote Sensing, 11 (15), 1752. https://doi.org/10.3390/rs11151752; - Brown, L.A., Ogutu, B.O., and Dash, J. 2020. Tracking forest biophysical properties with automated digital repeat photography: a fisheye perspective using digital hemispherical photography from below the canopy, Agricultural and Forest Meteorology, 287, 107944. https://doi.org/10.1016/j.agrformet.2020.107944. Date that the file was created: - November, 2021.