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

81 results

Time (local)	Label
2024-01-25 10:23:54	ga_ls8c_ard_3-2-1_101073_2024-01-25_final
2024-01-25 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-01-25_final
2024-01-25 10:27:30	ga_ls8c_ard_3-2-1_101082_2024-01-25_final
2024-01-26 09:27:52	ga_ls8c_ard_3-2-1_092072_2024-01-25_final
2024-01-26 09:28:16	ga_ls8c_ard_3-2-1_092073_2024-01-25_final
2024-01-26 09:29:04	ga_ls8c_ard_3-2-1_092075_2024-01-25_final
2024-01-26 09:29:28	ga_ls8c_ard_3-2-1_092076_2024-01-25_final
2024-01-26 09:29:52	ga_ls8c_ard_3-2-1_092077_2024-01-25_final
2024-01-26 09:30:16	ga_ls8c_ard_3-2-1_092078_2024-01-26_final
2024-01-26 09:30:40	ga_ls8c_ard_3-2-1_092079_2024-01-26_final
2024-01-26 09:32:15	ga_ls8c_ard_3-2-1_092083_2024-01-26_final
2024-01-26 09:32:39	ga_ls8c_ard_3-2-1_092084_2024-01-26_final
2024-01-26 09:33:03	ga_ls8c_ard_3-2-1_092085_2024-01-26_final
2024-01-26 09:33:27	ga_ls8c_ard_3-2-1_092086_2024-01-26_final
2024-01-26 09:34:15	ga_ls8c_ard_3-2-1_092088_2024-01-26_final
2024-01-26 09:35:03	ga_ls8c_ard_3-2-1_092090_2024-01-26_final
2024-01-26 11:05:57	ga_ls8c_ard_3-2-1_108070_2024-01-26_final
2024-01-26 11:07:57	ga_ls8c_ard_3-2-1_108075_2024-01-26_final
2024-01-26 11:08:21	ga_ls8c_ard_3-2-1_108076_2024-01-26_final
2024-01-26 11:08:45	ga_ls8c_ard_3-2-1_108077_2024-01-26_final
2024-01-26 11:09:09	ga_ls8c_ard_3-2-1_108078_2024-01-26_final
2024-01-26 11:09:33	ga_ls8c_ard_3-2-1_108079_2024-01-26_final
2024-01-26 11:09:56	ga_ls8c_ard_3-2-1_108080_2024-01-26_final
2024-01-26 11:10:20	ga_ls8c_ard_3-2-1_108081_2024-01-26_final
2024-01-27 10:11:07	ga_ls8c_ard_3-2-1_099072_2024-01-27_final
2024-01-27 10:12:19	ga_ls8c_ard_3-2-1_099075_2024-01-27_final
2024-01-27 10:12:43	ga_ls8c_ard_3-2-1_099076_2024-01-27_final
2024-01-27 10:13:07	ga_ls8c_ard_3-2-1_099077_2024-01-27_final
2024-01-27 10:13:31	ga_ls8c_ard_3-2-1_099078_2024-01-27_final
2024-01-27 10:13:55	ga_ls8c_ard_3-2-1_099079_2024-01-27_final
2024-01-27 10:14:43	ga_ls8c_ard_3-2-1_099081_2024-01-27_final
2024-01-27 10:15:07	ga_ls8c_ard_3-2-1_099082_2024-01-27_final
2024-01-27 10:15:31	ga_ls8c_ard_3-2-1_099083_2024-01-27_final
2024-01-27 10:15:55	ga_ls8c_ard_3-2-1_099084_2024-01-27_final
2024-01-27 11:52:00	ga_ls8c_ard_3-2-1_115077_2024-01-27_final
2024-01-27 11:53:12	ga_ls8c_ard_3-2-1_115080_2024-01-27_final
2024-01-28 09:16:19	ga_ls8c_ard_3-2-1_090074_2024-01-27_final
2024-01-28 09:16:43	ga_ls8c_ard_3-2-1_090075_2024-01-27_final
2024-01-28 09:17:07	ga_ls8c_ard_3-2-1_090076_2024-01-27_final
2024-01-28 09:17:55	ga_ls8c_ard_3-2-1_090078_2024-01-27_final
2024-01-28 09:18:18	ga_ls8c_ard_3-2-1_090079_2024-01-27_final
2024-01-28 09:18:42	ga_ls8c_ard_3-2-1_090080_2024-01-27_final
2024-01-28 09:19:30	ga_ls8c_ard_3-2-1_090082_2024-01-27_final
2024-01-28 09:19:54	ga_ls8c_ard_3-2-1_090083_2024-01-27_final
2024-01-28 09:20:42	ga_ls8c_ard_3-2-1_090085_2024-01-27_final
2024-01-28 09:21:30	ga_ls8c_ard_3-2-1_090087_2024-01-27_final
2024-01-28 09:22:18	ga_ls8c_ard_3-2-1_090089_2024-01-27_final
2024-01-28 10:55:36	ga_ls8c_ard_3-2-1_106075_2024-01-28_final
2024-01-29 09:58:47	ga_ls8c_ard_3-2-1_097072_2024-01-29_final
2024-01-29 09:59:35	ga_ls8c_ard_3-2-1_097074_2024-01-29_final
2024-01-29 10:00:23	ga_ls8c_ard_3-2-1_097076_2024-01-29_final
2024-01-29 10:00:47	ga_ls8c_ard_3-2-1_097077_2024-01-29_final
2024-01-29 10:01:11	ga_ls8c_ard_3-2-1_097078_2024-01-29_final
2024-01-29 10:03:11	ga_ls8c_ard_3-2-1_097083_2024-01-29_final
2024-01-29 11:38:28	ga_ls8c_ard_3-2-1_113074_2024-01-29_final
2024-01-29 11:38:52	ga_ls8c_ard_3-2-1_113075_2024-01-29_final
2024-01-29 11:39:16	ga_ls8c_ard_3-2-1_113076_2024-01-29_final
2024-01-29 11:40:52	ga_ls8c_ard_3-2-1_113080_2024-01-29_final
2024-01-29 11:41:16	ga_ls8c_ard_3-2-1_113081_2024-01-29_final
2024-01-29 11:41:40	ga_ls8c_ard_3-2-1_113082_2024-01-29_final
2024-01-29 11:42:04	ga_ls8c_ard_3-2-1_113083_2024-01-29_final
2024-01-30 09:07:10	ga_ls8c_ard_3-2-1_088082_2024-01-29_final
2024-01-30 10:40:28	ga_ls8c_ard_3-2-1_104068_2024-01-30_final
2024-01-30 10:40:52	ga_ls8c_ard_3-2-1_104069_2024-01-30_final
2024-01-30 10:41:16	ga_ls8c_ard_3-2-1_104070_2024-01-30_final
2024-01-30 10:42:52	ga_ls8c_ard_3-2-1_104074_2024-01-30_final
2024-01-30 10:44:28	ga_ls8c_ard_3-2-1_104078_2024-01-30_final
2024-01-30 10:45:15	ga_ls8c_ard_3-2-1_104080_2024-01-30_final
2024-01-30 10:45:39	ga_ls8c_ard_3-2-1_104081_2024-01-30_final
2024-01-30 10:46:03	ga_ls8c_ard_3-2-1_104082_2024-01-30_final
2024-01-31 09:46:51	ga_ls8c_ard_3-2-1_095073_2024-01-31_final
2024-01-31 09:48:03	ga_ls8c_ard_3-2-1_095076_2024-01-31_final
2024-01-31 09:48:27	ga_ls8c_ard_3-2-1_095077_2024-01-31_final
2024-01-31 09:49:15	ga_ls8c_ard_3-2-1_095079_2024-01-31_final
2024-01-31 09:50:27	ga_ls8c_ard_3-2-1_095082_2024-01-31_final
2024-01-31 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-01-31_final
2024-01-31 11:24:56	ga_ls8c_ard_3-2-1_111071_2024-01-31_final
2024-01-31 11:25:44	ga_ls8c_ard_3-2-1_111073_2024-01-31_final
2024-01-31 11:26:32	ga_ls8c_ard_3-2-1_111075_2024-01-31_final
2024-01-31 11:27:44	ga_ls8c_ard_3-2-1_111078_2024-01-31_final
2024-01-31 11:29:44	ga_ls8c_ard_3-2-1_111083_2024-01-31_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years