Temperature, NDVI and vegetation data from NCC restoration areas in Norfolk County, Ontario

Published: 24 August 2019| Version 1 | DOI: 10.17632/byk5t7jv2j.1
Jonas Hamberg


This dataset contains all data used in the manuscript by Hamberg, Fraser, Robinson, Trant and Murphy. The hypotheses is that surface temperature will decrease with increasing vegetation diversity, that native diversity is better at decreasing temperature and that surface temperature will decrease over time in restoration areas. We find support for all three of these hypotheses. The dataset contains one xls-file with multiple sheets. A summary of the sheets are presented below: 1. "LEF_veg_data_by_plot_2007-2018" - Includes all vegetation data used in the manuscript. This is a subset of all vegetation data provided by Nature Conservancy of Canada. Any missing data points have been removed and species richness and diversity only include when species were identified to species level. For the full dataset of all sampling done at the site contact me and I can put you in contact with the appropriate NCC staff to get permission to share. 2. "LEF_veg_temp_data_means" - The same data as above but taking the means of each plot transect. Mean relative surface temperature (TempPerM) and mean relative NDVI (NDVI_diff) is also included in this sheet. This data is what underlies the testing of the first and second hypotheses. The 'Type' column indicates if transect was in Active or Passive restoration. 3. "LEF_tempdata" - All temperature data used from the Lake Erie Farms site, including that of the mature forest reference areas. 4. "LEF_NDVIdata" - As above but for NDVI instead of temperature. 5. "ECOSTRESS_paired_data" - shows the diurnal temperature variation for the paired measurements from 2018 ECOSTRESS and (one) Landsat measurements (Paired_diff) for each restoration area and the days since restoration for each field. 6. "ECOSTRESS_all_data" - Same data but unpaired and including the second Landsat reading that was removed due to being taken in June, further away from the other readings seasonally. 7. "Temp_31_fields_post_restoration" - the relative temperature (%tempdiff) for all 31 restoration fields over time since restoration, including relative NDVI. Also includes the air temperature, humidity and wind speed from the Delhi, Ontario weather station as near as possible in time to when the image was taken. Also indicates if 100, >90% and >75% of each area was imaged correctly (i.e. no lost pixels or cloud cover within 200 meters of that pixel). Only areas with >75% of pixels remaining in both the restoration area and the paired mature forest area were retained. 8. "Temp_31_fields_pre_restoration" - Same as above but with the data from before restoration for each field. These sheets are divided as the statistical analysis was made separately on the pre-restoration and post-restoration data. 9. "Temp_31_incl_mature" - All data as above but also including temperature of the paired mature forest areas.


Steps to reproduce

Temperature data was sourced from Landsat 5, 7 and 8 and ECOSTRESS thermal imagery. NDVI from Landsat data. Vegetation data from field sampling. All imagery was sourced from https://earthexplorer.usgs.gov/ and https://earthdata.nasa.gov/ Outline for how temperature and NDVI data was processed is available in the manuscript. To process imagery we used the model builder tool in ArcGIS. Modelbuilder model and inputs needed to run it is available on request as it requires multiple inputs and dependencies. Vegetation data was taken from NCC sampling data-sheets. Sampling, locations and processing steps are outlined in the manuscript. Full sampling sheets may be available on request if NCC gives their approval.


University of Waterloo


Ecology, Remote Sensing, Ecological Restoration, Thermal Imaging, Time Series, Landsat Satellite