From 5c604ec8abb716506a1b7bde829088c122516891 Mon Sep 17 00:00:00 2001 From: Kendra Walker <82157773+klwalker-sb@users.noreply.github.com> Date: Mon, 20 May 2024 13:38:05 -0700 Subject: [PATCH] Zenodo link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2218923..aa9a8dd 100644 --- a/README.md +++ b/README.md @@ -165,7 +165,7 @@ burntfields rm_blanks \ #### BASMA Weekly BASMA layers were created from the Sentinal-2 imagery using the general concept and methods in [Daldegan et. al_2019](#3). -Burned endmembers were created for each week by manually identifying 15 charred locations in individual Sentinel-2 images and extracting the band data for each polygon. The endmember spectral library was then built using Principal Component Analysis, using the R script: `LocalScripts/BASMA_endmemberOptimizaton.R` (contributed by Ben Moscona). Our endmember outputs and final weekly layers with the spectral mixture analysis applied are provided in the Zenodo data archive: 10.5281/zenodo.10987987. (band 0 = green vegetation, band 1 = Non-productive vegetation and bare soil, band 2 = Char (burned)). Note that our study period was eight weeks, but Sentinel images for weeks 5 and 6 were too cloudy to produce BASMA layers. Weeks 7 and 8 were renamed to 5 and 6, respectively, for the code to work. +Burned endmembers were created for each week by manually identifying 15 charred locations in individual Sentinel-2 images and extracting the band data for each polygon. The endmember spectral library was then built using Principal Component Analysis, using the R script: `LocalScripts/BASMA_endmemberOptimizaton.R` (contributed by Ben Moscona). Our endmember outputs and final weekly layers with the spectral mixture analysis applied are provided in the Zenodo data archive: 10.5281/zenodo.10987987 [here](https://zenodo.org/records/10987987). (band 0 = green vegetation, band 1 = Non-productive vegetation and bare soil, band 2 = Char (burned)). Note that our study period was eight weeks, but Sentinel images for weeks 5 and 6 were too cloudy to produce BASMA layers. Weeks 7 and 8 were renamed to 5 and 6, respectively, for the code to work. #### Cloud masking For PlanetScope imagery, cloud masks were applied with the **apply_masks.py** function: