How: The authors replicated a previous study claiming that Amazon forests were greening during the 2005 drought, with very specific quality and land cover type screening in their methods. Why: To demonstrate the importance of considering remote sensing data quality, and reconcile contradicting reports of increased tree mortality and biomass burning with reports of anomalous Amazon forest greening. What: The study tries to reproduce reports from previous studies showing greening of Amazon forests during the 2005 drought. Samanta, A., Ganguly, S., Hashimoto, H., Devadiga, S., Vermote, E., Knyazikhin, Y., Nemani, R.R., and Myneni, R.B., 2010, Amazon forests did not green-up during the 2005 drought: Geophysical Research Letters, v. The tutorial follows similar data and methods of this study to demonstrate how to work with AppEEARS NetCDF-4 output files in R. This tutorial provides step-by-step instructions for creating NetCDF-4 files filtered based on specific quality and land cover type determinations.Ĭase Study: Throughout the tutorial, the following study is used as an example of how and why quality filtering is necessary in order to arrive at scientifically sound conclusions when working with remote sensing data. AppEEARS allows users to select NetCDF-4 as an output file format for Area Requests. Working with AppEEARS NetCDF-4 Output Data in R This tutorial demonstrates how to work with data output from the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) Area Sampler in R.
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