Update tassCap.py

scikeo/tassCap.py

@@ -24,17 +24,16 @@ def tassCap(image, sat = "Landsat8OLI", nodata = -99999, scale = None):
         numpy.ndarray with 3d containing brightness, greenness and wetness indices.
     
     References:
+        Crist, E.P., R. Laurin, and R.C. Cicone. 1986. Vegetation and soils information 
+        contained in transformed Thematic Mapper data. Pages 1465-1470 Ref. ESA SP-254. 
+        European Space Agency, Paris, France. http://www.ciesin.org/docs/005-419/005-419.html.
+
+        Baig, M.H.A., Shuai, T., Tong, Q., 2014. Derivation of a tasseled cap transformation 
+        based on Landsat 8 at-satellite reflectance. Remote Sensing Letters, 5(5), 423-431. 
     
-    - Crist, E.P., R. Laurin, and R.C. Cicone. 1986. Vegetation and soils information 
-      contained in transformed Thematic Mapper data. Pages 1465-1470 Ref. ESA SP-254. 
-      European Space Agency, Paris, France. http://www.ciesin.org/docs/005-419/005-419.html.
-    
-    - Baig, M.H.A., Shuai, T., Tong, Q., 2014. Derivation of a tasseled cap transformation 
-      based on Landsat 8 at-satellite reflectance. Remote Sensing Letters, 5(5), 423-431. 
-    
-    - Li, B., Ti, C., Zhao, Y., Yan, X., 2016. Estimating Soil Moisture with Landsat Data 
-      and Its Application in Extracting the Spatial Distribution of Winter Flooded Paddies. 
-      Remote Sensing, 8(1), 38.
+        Li, B., Ti, C., Zhao, Y., Yan, X., 2016. Estimating Soil Moisture with Landsat Data 
+        and Its Application in Extracting the Spatial Distribution of Winter Flooded Paddies. 
+        Remote Sensing, 8(1), 38.
     
     Note:
     Currently implemented for satellites such as Landsat-4 TM, Landsat-5 TM, Landsat-7 ETM+,