Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-07-15 10:34:45	ga_ls8c_ard_3-2-1_103070_2023-07-15_final
2023-07-15 10:35:33	ga_ls8c_ard_3-2-1_103072_2023-07-15_final
2023-07-15 10:35:57	ga_ls8c_ard_3-2-1_103073_2023-07-15_final
2023-07-15 10:36:21	ga_ls8c_ard_3-2-1_103074_2023-07-15_final
2023-07-15 10:37:57	ga_ls8c_ard_3-2-1_103078_2023-07-15_final
2023-07-15 10:38:21	ga_ls8c_ard_3-2-1_103079_2023-07-15_final
2023-07-15 10:38:45	ga_ls8c_ard_3-2-1_103080_2023-07-15_final
2023-07-15 10:39:09	ga_ls8c_ard_3-2-1_103081_2023-07-15_final
2023-07-15 10:39:32	ga_ls8c_ard_3-2-1_103082_2023-07-15_final
2023-07-16 09:39:32	ga_ls8c_ard_3-2-1_094071_2023-07-16_final
2023-07-16 09:39:56	ga_ls8c_ard_3-2-1_094072_2023-07-16_final
2023-07-16 09:40:20	ga_ls8c_ard_3-2-1_094073_2023-07-16_final
2023-07-16 09:40:44	ga_ls8c_ard_3-2-1_094074_2023-07-16_final
2023-07-16 09:41:08	ga_ls8c_ard_3-2-1_094075_2023-07-16_final
2023-07-16 09:41:32	ga_ls8c_ard_3-2-1_094076_2023-07-16_final
2023-07-16 09:42:19	ga_ls8c_ard_3-2-1_094078_2023-07-16_final
2023-07-16 09:42:43	ga_ls8c_ard_3-2-1_094079_2023-07-16_final
2023-07-16 09:43:07	ga_ls8c_ard_3-2-1_094080_2023-07-16_final
2023-07-16 09:43:31	ga_ls8c_ard_3-2-1_094081_2023-07-16_final
2023-07-16 09:43:55	ga_ls8c_ard_3-2-1_094082_2023-07-16_final
2023-07-16 09:44:19	ga_ls8c_ard_3-2-1_094083_2023-07-16_final
2023-07-16 09:45:07	ga_ls8c_ard_3-2-1_094085_2023-07-16_final
2023-07-16 09:45:31	ga_ls8c_ard_3-2-1_094086_2023-07-16_final
2023-07-17 10:27:35	ga_ls8c_ard_3-2-1_101083_2023-07-17_final
2023-07-18 09:27:10	ga_ls8c_ard_3-2-1_092071_2023-07-17_final
2023-07-18 09:27:34	ga_ls8c_ard_3-2-1_092072_2023-07-17_final
2023-07-18 09:27:58	ga_ls8c_ard_3-2-1_092073_2023-07-17_final
2023-07-18 09:28:22	ga_ls8c_ard_3-2-1_092074_2023-07-17_final
2023-07-18 09:29:10	ga_ls8c_ard_3-2-1_092076_2023-07-17_final
2023-07-18 09:29:34	ga_ls8c_ard_3-2-1_092077_2023-07-17_final
2023-07-18 09:29:58	ga_ls8c_ard_3-2-1_092078_2023-07-17_final
2023-07-18 09:30:22	ga_ls8c_ard_3-2-1_092079_2023-07-18_final
2023-07-18 09:31:09	ga_ls8c_ard_3-2-1_092081_2023-07-18_final
2023-07-18 09:31:33	ga_ls8c_ard_3-2-1_092082_2023-07-18_final
2023-07-18 09:31:57	ga_ls8c_ard_3-2-1_092083_2023-07-18_final
2023-07-18 09:32:21	ga_ls8c_ard_3-2-1_092084_2023-07-18_final
2023-07-18 09:32:45	ga_ls8c_ard_3-2-1_092085_2023-07-18_final
2023-07-18 09:33:09	ga_ls8c_ard_3-2-1_092086_2023-07-18_final
2023-07-18 09:33:33	ga_ls8c_ard_3-2-1_092087_2023-07-18_final
2023-07-18 09:33:57	ga_ls8c_ard_3-2-1_092088_2023-07-18_final
2023-07-18 09:34:21	ga_ls8c_ard_3-2-1_092089_2023-07-18_final
2023-07-18 09:34:45	ga_ls8c_ard_3-2-1_092090_2023-07-18_final
2023-07-18 11:05:15	ga_ls8c_ard_3-2-1_108069_2023-07-18_final
2023-07-18 11:05:39	ga_ls8c_ard_3-2-1_108070_2023-07-18_final
2023-07-18 11:06:03	ga_ls8c_ard_3-2-1_108071_2023-07-18_final
2023-07-18 11:06:27	ga_ls8c_ard_3-2-1_108072_2023-07-18_final
2023-07-18 11:06:51	ga_ls8c_ard_3-2-1_108073_2023-07-18_final
2023-07-18 11:08:03	ga_ls8c_ard_3-2-1_108076_2023-07-18_final
2023-07-18 11:08:51	ga_ls8c_ard_3-2-1_108078_2023-07-18_final
2023-07-18 11:09:15	ga_ls8c_ard_3-2-1_108079_2023-07-18_final
2023-07-20 09:16:48	ga_ls8c_ard_3-2-1_090076_2023-07-19_final
2023-07-20 09:17:12	ga_ls8c_ard_3-2-1_090077_2023-07-19_final
2023-07-20 09:20:47	ga_ls8c_ard_3-2-1_090086_2023-07-19_final
2023-07-20 10:52:29	ga_ls8c_ard_3-2-1_106068_2023-07-20_final
2023-07-20 10:52:53	ga_ls8c_ard_3-2-1_106069_2023-07-20_final
2023-07-20 10:53:17	ga_ls8c_ard_3-2-1_106070_2023-07-20_final
2023-07-20 10:53:41	ga_ls8c_ard_3-2-1_106071_2023-07-20_final
2023-07-20 10:54:05	ga_ls8c_ard_3-2-1_106072_2023-07-20_final
2023-07-20 10:54:29	ga_ls8c_ard_3-2-1_106073_2023-07-20_final
2023-07-20 10:54:53	ga_ls8c_ard_3-2-1_106074_2023-07-20_final
2023-07-20 10:55:17	ga_ls8c_ard_3-2-1_106075_2023-07-20_final
2023-07-20 10:55:41	ga_ls8c_ard_3-2-1_106076_2023-07-20_final
2023-07-20 10:56:05	ga_ls8c_ard_3-2-1_106077_2023-07-20_final
2023-07-20 10:56:28	ga_ls8c_ard_3-2-1_106078_2023-07-20_final
2023-07-20 10:56:52	ga_ls8c_ard_3-2-1_106079_2023-07-20_final
2023-07-20 10:57:16	ga_ls8c_ard_3-2-1_106080_2023-07-20_final
2023-07-20 10:57:40	ga_ls8c_ard_3-2-1_106081_2023-07-20_final
2023-07-20 10:58:04	ga_ls8c_ard_3-2-1_106082_2023-07-20_final
2023-07-20 10:58:28	ga_ls8c_ard_3-2-1_106083_2023-07-20_final
2023-07-21 09:56:28	ga_ls8c_ard_3-2-1_097067_2023-07-21_final
2023-07-22 10:40:09	ga_ls8c_ard_3-2-1_104068_2023-07-22_final
2023-07-22 10:40:33	ga_ls8c_ard_3-2-1_104069_2023-07-22_final
2023-07-22 10:40:57	ga_ls8c_ard_3-2-1_104070_2023-07-22_final
2023-07-22 10:41:21	ga_ls8c_ard_3-2-1_104071_2023-07-22_final
2023-07-22 10:41:45	ga_ls8c_ard_3-2-1_104072_2023-07-22_final
2023-07-22 10:42:09	ga_ls8c_ard_3-2-1_104073_2023-07-22_final
2023-07-22 10:42:32	ga_ls8c_ard_3-2-1_104074_2023-07-22_final
2023-07-22 10:42:56	ga_ls8c_ard_3-2-1_104075_2023-07-22_final
2023-07-22 10:43:20	ga_ls8c_ard_3-2-1_104076_2023-07-22_final
2023-07-22 10:43:44	ga_ls8c_ard_3-2-1_104077_2023-07-22_final
2023-07-22 10:44:08	ga_ls8c_ard_3-2-1_104078_2023-07-22_final
2023-07-22 10:44:32	ga_ls8c_ard_3-2-1_104079_2023-07-22_final
2023-07-22 10:44:56	ga_ls8c_ard_3-2-1_104080_2023-07-22_final
2023-07-22 10:45:20	ga_ls8c_ard_3-2-1_104081_2023-07-22_final
2023-07-22 10:45:44	ga_ls8c_ard_3-2-1_104082_2023-07-22_final
2023-07-23 09:45:44	ga_ls8c_ard_3-2-1_095071_2023-07-23_final
2023-07-23 09:46:08	ga_ls8c_ard_3-2-1_095072_2023-07-23_final
2023-07-23 09:46:32	ga_ls8c_ard_3-2-1_095073_2023-07-23_final
2023-07-23 09:46:56	ga_ls8c_ard_3-2-1_095074_2023-07-23_final
2023-07-23 09:47:20	ga_ls8c_ard_3-2-1_095075_2023-07-23_final
2023-07-23 09:47:44	ga_ls8c_ard_3-2-1_095076_2023-07-23_final
2023-07-23 09:48:08	ga_ls8c_ard_3-2-1_095077_2023-07-23_final
2023-07-23 09:48:32	ga_ls8c_ard_3-2-1_095078_2023-07-23_final
2023-07-23 09:48:56	ga_ls8c_ard_3-2-1_095079_2023-07-23_final
2023-07-23 09:49:20	ga_ls8c_ard_3-2-1_095080_2023-07-23_final
2023-07-23 09:49:44	ga_ls8c_ard_3-2-1_095081_2023-07-23_final
2023-07-23 09:50:08	ga_ls8c_ard_3-2-1_095082_2023-07-23_final
2023-07-23 09:50:32	ga_ls8c_ard_3-2-1_095083_2023-07-23_final
2023-07-23 09:50:56	ga_ls8c_ard_3-2-1_095084_2023-07-23_final
2023-07-23 09:51:44	ga_ls8c_ard_3-2-1_095086_2023-07-23_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years