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README.md

@@ -85,9 +85,9 @@ The dataset supports time-series forecasting.
     timeseries/
         EB_0001/
             RAW/
-                NEON.D20.PUUM.DP1.00033_DB_0001_roistats.csv
-                NEON.D20.PUUM.DP1.00033_DB_0001_1day.csv
-                NEON.D20.PUUM.DP1.00033_DB_0001_3day.csv
+                NEON.D20.PUUM.DP1.00033_EB_0001_roistats.csv
+                NEON.D20.PUUM.DP1.00033_EB_0001_1day.csv
+                NEON.D20.PUUM.DP1.00033_EB_0001_3day.csv
             KMEANS/
                 NEON.D20.PUUM.DP1.00033_EB_0001_roistats.csv
                 NEON.D20.PUUM.DP1.00033_EB_0001_1day.csv
@@ -97,14 +97,18 @@ The dataset supports time-series forecasting.
         ...
         EB_0004/
             RAW/
-                NEON.D20.PUUM.DP1.00033_DB_0001_roistats.csv
-                NEON.D20.PUUM.DP1.00033_DB_0001_1day.csv
-                NEON.D20.PUUM.DP1.00033_DB_0001_3day.csv
+                NEON.D20.PUUM.DP1.00033_EB_0004_roistats.csv
+                NEON.D20.PUUM.DP1.00033_EB_0004_1day.csv
+                NEON.D20.PUUM.DP1.00033_EB_0004_3day.csv
             DWT/
                 NEON.D20.PUUM_EB_0001_trend_summary.csv
         ...
 ```
 
+`NEON.D20.PUUM.DP1.00033` indicates the site and camera index. `EB_0001` means the generated instance mask. 
+The first three masks are for Koa trees, where greenness is our main focus. Therefore, k-means is applied to extract more subtle signals.
+`EB_0004` and `EB_0005` are for O'hia trees, where we want to extract red flowers. K-means is not applied as the signal is more distinguishable. 
+
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
 <!-- Provide format of the dataset, ex: