@@ -83,17 +83,6 @@ def feature_layers(
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ds_post = dc .load ('ga_ls8cls9c_gm_cyear_3' , time = time_post , ** query )
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- base_measurements = ["blue" , "green" , "red" , "nir" , "swir1" , "swir2" ]
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- #query['measurements'] = base_measurements
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- del query ['measurements' ]
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-
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- # Load ls8 geomedians
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- ds_base = hnrs_dc .load (product = "ga_ls8c_nbart_gm_4cyear_3" ,
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- time = ("2017-01-01" , "2017-12-31" ), #calendar year
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- ** query )
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-
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- ds_base = ds_base [base_measurements ]
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-
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# Dictionary mapping old variable names to new ones
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rename_dict = {
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"nbart_blue" : "blue" ,
@@ -106,6 +95,17 @@ def feature_layers(
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ds_post = ds_post .rename (rename_dict )
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+ base_measurements = ["blue" , "green" , "red" , "nir" , "swir1" , "swir2" ]
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+ #query['measurements'] = base_measurements
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+ del query ['measurements' ]
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+
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+ # Load ls8 geomedians
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+ ds_base = hnrs_dc .load (product = "ga_ls8c_nbart_gm_4cyear_3" ,
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+ time = ("2017-01-01" , "2017-12-31" ), #calendar year
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+ ** query )
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+
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+ ds_base = ds_base [base_measurements ]
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+
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# Load Land Cover
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# NOTE: the ga_ls_landcover_class_cyear_3 is 2025 LC version
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lc_query = query
@@ -454,7 +454,7 @@ def vic_rf_processing(
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output_crs = "epsg:3577"
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# Define a list of bands to load
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- measurements = ["blue " , "green " , "red " , "nir " , "swir1 " , "swir2 " ]
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+ measurements = ["nbart_blue " , "nbart_green " , "nbart_red " , "nbart_nir " , "nbart_swir_1 " , "nbart_swir_2 " ]
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# Define the analysis year
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time_post = "2020"
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