Landsat NDVI timeseries data for nTabamhlophe fire exclusion site 2000 - 2023

Published: 28 June 2024| Version 1 | DOI: 10.17632/kxtfyrkmyt.1
Basanda Nondlazi


Manuscript Title: Through to bush and back to grass in 84yrs: the effect of reintroducing fire and grazing after 56years of exclusion at nTabamhlophe (White Mountain) Research Station ------------------------------------------------------------ The data was developed to examine the hypothesis that the fire exclusion plot at nTabamhlophe continued to progress towards characteristics of a pure grassy landscape after the year 2000. The goal was to show a downward trajectory in NDVI, indicating a shift from values typical of a wooded landscape—rich in trees and woody vegetation—to values more representative of grassland. Data diction --------------------- Year: This column represents the year when the data was recorded. It contains integer values (e.g., 2000). Month_Number: This column corresponds to the numerical representation of the month (1 for January, 2 for February, and so on). It also contains integer values. Month_Name: Here, the column contains the full name of the month (e.g., “February” or “March”). The data type for this column is typically a string (text). Day: This column represents the day of the month when the NDVI (Normalized Difference Vegetation Index) measurement was taken. It contains integer values (e.g., 18). NDVI: The NDVI is a vegetation index that quantifies the greenness or health of vegetation. It ranges from -1 to 1, with higher values indicating healthier vegetation. The data type for this column is typically a floating-point number (decimal).


Steps to reproduce

In the GEE Code Editor, the region of interest (ROI) was delineated using a square shape overlaying the fence line of the nTabamhlophe Long-term Fire Exclusion Plot. Landsat images were loaded and filtered to exclude those with cloud coverage exceeding 5% of the ROI. The satellite imagery was then confined to the specified date range. NDVI was calculated using the formula (NIR - RED) / (NIR + RED). This calculation was used to reduce the image collection to mean NDVI values for the plot, with two images per month corresponding to the 15-day overpass interval. The resulting NDVI values were exported to Google Drive as a CSV file. The downloaded CSV file was subsequently opened in Excel for further analysis of the NDVI data.


Council for Scientific and Industrial Research, South African Environmental Observation Network


Ecology, Remote Sensing, Time Series, Grassland Vegetation, Long-Term Experiments, Environmentalism, Fire