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
2023-02-03 10:49:47	ga_ls8c_ard_3-2-1_105075_2023-02-03_final
2023-03-14 10:54:21	ga_ls8c_ard_3-2-1_106072_2023-03-14_final
2023-03-18 10:28:24	ga_ls8c_ard_3-2-1_102069_2023-03-18_final
2023-06-21 11:29:33	ga_ls8c_ard_3-2-1_111084_2023-06-21_final
2023-06-23 11:14:24	ga_ls8c_ard_3-2-1_109077_2023-06-23_final
2023-06-25 09:24:47	ga_ls8c_ard_3-2-1_091081_2023-06-24_final
2023-06-25 11:03:16	ga_ls8c_ard_3-2-1_107080_2023-06-25_final
2023-06-27 10:46:09	ga_ls8c_ard_3-2-1_105068_2023-06-27_final
2023-07-05 09:58:01	ga_ls8c_ard_3-2-1_097071_2023-07-05_final
2023-07-08 10:28:33	ga_ls8c_ard_3-2-1_102070_2023-07-08_final
2023-07-10 10:20:59	ga_ls8c_ard_3-2-1_100082_2023-07-10_final
2023-07-10 10:21:23	ga_ls8c_ard_3-2-1_100083_2023-07-10_final
2023-07-13 09:11:01	ga_ls8c_ard_3-2-1_089077_2023-07-12_final
2023-07-15 10:39:32	ga_ls8c_ard_3-2-1_103082_2023-07-15_final
2023-07-16 11:19:13	ga_ls8c_ard_3-2-1_110073_2023-07-16_final
2023-07-20 10:55:41	ga_ls8c_ard_3-2-1_106076_2023-07-20_final
2023-07-23 09:46:32	ga_ls8c_ard_3-2-1_095073_2023-07-23_final
2023-07-23 09:50:56	ga_ls8c_ard_3-2-1_095084_2023-07-23_final
2023-07-27 09:27:52	ga_ls8c_ard_3-2-1_091088_2023-07-26_final
2023-07-27 10:59:34	ga_ls8c_ard_3-2-1_107070_2023-07-27_final
2023-07-28 10:07:32	ga_ls8c_ard_3-2-1_098079_2023-07-28_final
2023-07-31 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-07-31_final
2023-08-01 11:18:33	ga_ls8c_ard_3-2-1_110071_2023-08-01_final
2023-08-03 11:05:24	ga_ls8c_ard_3-2-1_108069_2023-08-03_final
2023-08-03 11:09:47	ga_ls8c_ard_3-2-1_108080_2023-08-03_final
2023-08-04 10:14:10	ga_ls8c_ard_3-2-1_099080_2023-08-04_final
2023-08-04 11:51:04	ga_ls8c_ard_3-2-1_115075_2023-08-04_final
2023-08-04 11:51:28	ga_ls8c_ard_3-2-1_115076_2023-08-04_final
2023-08-05 09:21:21	ga_ls8c_ard_3-2-1_090087_2023-08-04_final
2023-08-06 11:41:30	ga_ls8c_ard_3-2-1_113082_2023-08-06_final
2023-08-10 09:38:41	ga_ls8c_ard_3-2-1_093084_2023-08-10_final
2023-08-11 11:57:38	ga_ls8c_ard_3-2-1_116076_2023-08-11_final
2023-08-12 09:22:45	ga_ls8c_ard_3-2-1_091075_2023-08-11_final
2023-08-18 10:25:50	ga_ls8c_ard_3-2-1_101078_2023-08-18_final
2023-08-19 11:05:55	ga_ls8c_ard_3-2-1_108070_2023-08-19_final
2023-08-21 10:54:46	ga_ls8c_ard_3-2-1_106073_2023-08-21_final
2023-08-22 11:37:38	ga_ls8c_ard_3-2-1_113072_2023-08-22_final
2023-08-25 10:28:28	ga_ls8c_ard_3-2-1_102069_2023-08-25_final
2023-08-26 09:40:26	ga_ls8c_ard_3-2-1_093088_2023-08-26_final
2023-08-27 10:18:06	ga_ls8c_ard_3-2-1_100074_2023-08-27_final
2023-08-28 09:28:04	ga_ls8c_ard_3-2-1_091088_2023-08-27_final
2023-08-28 11:00:10	ga_ls8c_ard_3-2-1_107071_2023-08-28_final
2023-09-04 09:33:02	ga_ls8c_ard_3-2-1_092085_2023-09-04_final
2023-09-04 11:07:55	ga_ls8c_ard_3-2-1_108075_2023-09-04_final
2023-09-05 10:09:06	ga_ls8c_ard_3-2-1_099067_2023-09-05_final
2023-09-05 11:50:47	ga_ls8c_ard_3-2-1_115074_2023-09-05_final
2023-09-05 11:52:46	ga_ls8c_ard_3-2-1_115079_2023-09-05_final
2023-09-06 10:58:44	ga_ls8c_ard_3-2-1_106083_2023-09-06_final
2023-09-08 10:40:48	ga_ls8c_ard_3-2-1_104069_2023-09-08_final
2023-09-09 09:46:48	ga_ls8c_ard_3-2-1_095073_2023-09-09_final
2023-09-14 10:03:24	ga_ls8c_ard_3-2-1_098068_2023-09-14_final
2023-09-15 09:12:10	ga_ls8c_ard_3-2-1_089079_2023-09-14_final
2023-09-18 11:23:58	ga_ls8c_ard_3-2-1_110084_2023-09-18_final
2023-09-20 09:34:43	ga_ls8c_ard_3-2-1_092089_2023-09-20_final
2023-09-21 10:16:23	ga_ls8c_ard_3-2-1_099085_2023-09-21_final
2023-09-23 10:00:50	ga_ls8c_ard_3-2-1_097077_2023-09-23_final
2023-09-25 09:51:41	ga_ls8c_ard_3-2-1_095085_2023-09-25_final
2023-09-25 11:26:11	ga_ls8c_ard_3-2-1_111074_2023-09-25_final
2023-09-29 09:23:48	ga_ls8c_ard_3-2-1_091077_2023-09-28_final
2023-09-30 11:47:09	ga_ls8c_ard_3-2-1_114080_2023-09-30_final
2023-10-01 10:48:44	ga_ls8c_ard_3-2-1_105073_2023-10-01_final
2023-10-06 09:29:10	ga_ls8c_ard_3-2-1_092075_2023-10-05_final
2023-10-06 11:07:15	ga_ls8c_ard_3-2-1_108073_2023-10-06_final
2023-10-07 10:09:15	ga_ls8c_ard_3-2-1_099067_2023-10-07_final
2023-10-07 10:14:26	ga_ls8c_ard_3-2-1_099080_2023-10-07_final
2023-10-08 09:20:26	ga_ls8c_ard_3-2-1_090084_2023-10-07_final
2023-10-08 10:53:20	ga_ls8c_ard_3-2-1_106069_2023-10-08_final
2023-10-08 10:54:55	ga_ls8c_ard_3-2-1_106073_2023-10-08_final
2023-10-08 10:55:19	ga_ls8c_ard_3-2-1_106074_2023-10-08_final
2023-10-08 10:56:07	ga_ls8c_ard_3-2-1_106076_2023-10-08_final
2023-10-09 11:37:48	ga_ls8c_ard_3-2-1_113072_2023-10-09_final
2023-10-13 11:14:41	ga_ls8c_ard_3-2-1_109076_2023-10-13_final
2023-10-14 10:18:40	ga_ls8c_ard_3-2-1_100075_2023-10-14_final
2023-10-15 11:02:20	ga_ls8c_ard_3-2-1_107076_2023-10-15_final
2023-10-15 11:05:31	ga_ls8c_ard_3-2-1_107084_2023-10-15_final
2023-10-21 10:27:37	ga_ls8c_ard_3-2-1_101082_2023-10-21_final
2023-10-22 09:29:13	ga_ls8c_ard_3-2-1_092075_2023-10-21_final
2023-10-23 10:09:18	ga_ls8c_ard_3-2-1_099067_2023-10-23_final
2023-10-24 09:22:28	ga_ls8c_ard_3-2-1_090089_2023-10-23_final
2023-10-25 11:37:50	ga_ls8c_ard_3-2-1_113072_2023-10-25_final
2023-10-29 09:39:27	ga_ls8c_ard_3-2-1_093085_2023-10-29_final
2023-10-29 11:17:32	ga_ls8c_ard_3-2-1_109083_2023-10-29_final
2023-10-30 10:22:19	ga_ls8c_ard_3-2-1_100084_2023-10-30_final
2023-11-01 10:07:57	ga_ls8c_ard_3-2-1_098079_2023-11-01_final
2023-11-02 10:47:13	ga_ls8c_ard_3-2-1_105069_2023-11-02_final
2023-11-05 09:46:00	ga_ls8c_ard_3-2-1_094086_2023-11-05_final
2023-11-05 11:20:30	ga_ls8c_ard_3-2-1_110075_2023-11-05_final
2023-11-06 10:28:03	ga_ls8c_ard_3-2-1_101083_2023-11-06_final
2023-11-07 09:29:14	ga_ls8c_ard_3-2-1_092075_2023-11-06_final
2023-11-07 09:33:13	ga_ls8c_ard_3-2-1_092085_2023-11-07_final
2023-11-07 09:34:01	ga_ls8c_ard_3-2-1_092087_2023-11-07_final
2023-11-07 11:07:19	ga_ls8c_ard_3-2-1_108073_2023-11-07_final
2023-11-08 10:16:04	ga_ls8c_ard_3-2-1_099084_2023-11-08_final
2023-11-09 09:19:14	ga_ls8c_ard_3-2-1_090081_2023-11-08_final
2023-11-10 11:41:22	ga_ls8c_ard_3-2-1_113081_2023-11-10_final
2023-11-11 10:42:58	ga_ls8c_ard_3-2-1_104074_2023-11-11_final
2023-11-12 09:47:21	ga_ls8c_ard_3-2-1_095074_2023-11-12_final
2023-11-14 11:12:42	ga_ls8c_ard_3-2-1_109071_2023-11-14_final
2023-11-14 11:13:54	ga_ls8c_ard_3-2-1_109074_2023-11-14_final
2023-11-16 09:26:40	ga_ls8c_ard_3-2-1_091084_2023-11-15_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