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[![DOI](https://zenodo.org/badge/1.svg)](https://zenodo.org/badge/latestdoi/)
-# Mapping oak wilt disease using phenological observations from space
+# Mapping oak wilt disease from space using land surface phenology
-These codes are used to predict the present of symptomatic oak trees to oak
-wilt using land surface phenology (LSP) metrics (Fig 1). LSP metrics are derived from
-Analysis Ready Data (ARD) of Sentinel-2 using the processing workflow of [FORCE](https://force-eo.readthedocs.io/en/latest/).
+These codes are used to predict the present of symptomatic oak trees to oak wilt
+disease using land surface phenology (LSP) metrics (Fig 1). LSP metrics are
+derived from Analysis Ready Data (ARD) of Sentinel-2 using the processing
+workflow of [FORCE](https://force-eo.readthedocs.io/en/latest/) (Fig. 2).
-The data used in this manuscript that accompany these codes are available at the
-[DRUM](https://doi.org). Please follow the instructions described there for proper
-citation of the data.
+
+
+
+ Fig 1. Temporal changes in the Chlorophyll/Carotenoid Index (CCI) of a pixel from an oak tree
+that died from oak wilt disease (a) and the expected behavior of land surface phenology metrics
+when oak tree conditions are compared with the surrounding healthy vegetation for a given
+phenological year (b).
+
- Fig 1. Schematic workflow description.
+ Fig 2. Schematic workflow description.