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:

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First 100 results (query limit)

Time (local)	Label
2021-08-20 11:14:18	ga_ls8c_ard_3-2-0_109075_2021-08-20_final
2021-08-30 10:13:20	ga_ls8c_ard_3-2-0_099077_2021-08-30_final
2021-08-31 09:22:31	ga_ls8c_ard_3-2-0_090089_2021-08-30_final
2021-09-02 10:40:40	ga_ls8c_ard_3-2-0_104068_2021-09-02_final
2021-09-12 09:45:41	ga_ls8c_ard_3-2-0_094085_2021-09-12_final
2021-09-17 11:37:56	ga_ls8c_ard_3-2-0_113072_2021-09-17_final
2021-10-02 10:55:57	ga_ls8c_ard_3-2-0_106075_2021-10-02_final
2021-10-20 10:46:27	ga_ls8c_ard_3-2-0_104082_2021-10-20_final
2021-10-21 11:29:19	ga_ls8c_ard_3-2-0_111081_2021-10-21_final
2021-10-30 11:19:56	ga_ls8c_ard_3-2-0_110073_2021-10-30_final
2021-11-01 09:29:29	ga_ls8c_ard_3-2-0_092075_2021-10-31_final
2021-11-03 10:53:13	ga_ls8c_ard_3-2-0_106068_2021-11-03_final
2021-11-03 10:56:00	ga_ls8c_ard_3-2-0_106075_2021-11-03_final
2021-11-10 09:22:28	ga_ls8c_ard_3-2-0_091073_2021-11-09_final
2021-11-12 10:46:59	ga_ls8c_ard_3-2-0_105068_2021-11-12_final
2021-11-17 09:29:24	ga_ls8c_ard_3-2-0_092075_2021-11-16_final
2021-11-18 10:15:26	ga_ls8c_ard_3-2-0_099082_2021-11-18_final
2021-11-26 11:00:07	ga_ls8c_ard_3-2-0_107070_2021-11-26_final
2021-11-28 09:12:04	ga_ls8c_ard_3-2-0_089078_2021-11-27_final
2021-11-29 11:31:50	ga_ls8c_ard_3-2-0_112072_2021-11-29_final
2021-12-01 11:19:04	ga_ls8c_ard_3-2-0_110071_2021-12-01_final
2021-12-03 09:29:01	ga_ls8c_ard_3-2-0_092074_2021-12-02_final
2021-12-04 10:11:29	ga_ls8c_ard_3-2-0_099072_2021-12-04_final
2021-12-15 11:32:37	ga_ls8c_ard_3-2-1_112074_2021-12-15_final
2021-12-21 09:21:01	ga_ls8c_ard_3-2-1_090085_2021-12-20_final
2021-12-23 10:41:08	ga_ls8c_ard_3-2-1_104069_2021-12-23_final
2021-12-24 11:25:59	ga_ls8c_ard_3-2-1_111073_2021-12-24_final
2021-12-26 11:14:25	ga_ls8c_ard_3-2-1_109075_2021-12-26_final
2021-12-30 10:46:52	ga_ls8c_ard_3-2-1_105068_2021-12-30_final
2022-01-02 09:40:28	ga_ls8c_ard_3-2-1_094072_2022-01-02_final
2022-01-06 10:53:50	ga_ls8c_ard_3-2-1_106070_2022-01-06_final
2022-01-13 09:22:43	ga_ls8c_ard_3-2-1_091074_2022-01-12_final
2022-01-15 10:46:50	ga_ls8c_ard_3-2-1_105068_2022-01-15_final
2022-01-20 09:28:51	ga_ls8c_ard_3-2-1_092074_2022-01-19_final
2022-01-29 09:23:01	ga_ls8c_ard_3-2-1_091075_2022-01-28_final
2022-02-09 09:07:15	ga_ls8c_ard_3-2-1_088082_2022-02-08_final
2022-02-12 09:34:32	ga_ls8c_ard_3-2-1_093073_2022-02-12_final
2022-02-15 10:10:12	ga_ls8c_ard_3-2-1_098085_2022-02-15_final
2022-02-23 10:55:37	ga_ls8c_ard_3-2-1_106075_2022-02-23_final
2022-03-02 09:23:18	ga_ls8c_ard_3-2-1_091076_2022-03-01_final
2022-03-11 10:55:33	ga_ls8c_ard_3-2-1_106075_2022-03-11_final
2022-03-20 10:46:29	ga_ls8c_ard_3-2-1_105068_2022-03-20_final
2022-04-15 11:25:08	ga_ls8c_ard_3-2-1_111072_2022-04-15_final
2022-04-19 09:23:06	ga_ls8c_ard_3-2-1_091076_2022-04-18_final
2022-04-21 10:48:49	ga_ls8c_ard_3-2-1_105074_2022-04-21_final
2022-04-26 09:33:38	ga_ls8c_ard_3-2-1_092087_2022-04-26_final
2022-05-07 10:49:40	ga_ls8c_ard_3-2-1_105076_2022-05-07_final
2022-05-12 09:33:45	ga_ls8c_ard_3-2-1_092087_2022-05-12_final
2022-05-14 09:17:01	ga_ls8c_ard_3-2-1_090076_2022-05-13_final
2022-05-14 10:55:30	ga_ls8c_ard_3-2-1_106075_2022-05-14_final
2022-05-21 09:27:37	ga_ls8c_ard_3-2-1_091087_2022-05-20_final
2022-05-29 10:15:51	ga_ls8c_ard_3-2-1_099084_2022-05-29_final
2022-06-06 09:23:21	ga_ls8c_ard_3-2-1_091076_2022-06-05_final
2022-06-07 10:07:25	ga_ls8c_ard_3-2-1_098078_2022-06-07_final
2022-06-19 10:33:51	ga_ls8c_ard_3-2-1_102082_2022-06-19_final
2022-06-23 10:09:57	ga_ls8c_ard_3-2-1_098084_2022-06-23_final
2022-07-06 09:39:52	ga_ls8c_ard_3-2-1_093086_2022-07-06_final
2022-07-10 09:12:21	ga_ls8c_ard_3-2-1_089079_2022-07-09_final
2022-07-31 11:08:21	ga_ls8c_ard_3-2-1_108075_2022-07-31_final
2022-08-05 09:52:27	ga_ls8c_ard_3-2-1_095086_2022-08-05_final
2022-08-09 09:28:10	ga_ls8c_ard_3-2-1_091087_2022-08-08_final
2022-08-18 10:53:43	ga_ls8c_ard_3-2-1_106069_2022-08-18_final
2022-09-06 11:25:27	ga_ls8c_ard_3-2-1_111071_2022-09-06_final
2022-09-06 11:29:26	ga_ls8c_ard_3-2-1_111081_2022-09-06_final
2022-09-09 10:21:53	ga_ls8c_ard_3-2-1_100082_2022-09-09_final
2022-09-26 09:28:43	ga_ls8c_ard_3-2-1_091088_2022-09-25_final
2022-09-28 10:47:15	ga_ls8c_ard_3-2-1_105068_2022-09-28_final
2022-09-28 10:49:39	ga_ls8c_ard_3-2-1_105074_2022-09-28_final
2022-10-17 11:18:27	ga_ls8c_ard_3-2-1_110069_2022-10-17_final
2022-10-19 09:32:49	ga_ls8c_ard_3-2-1_092083_2022-10-19_final
2022-10-26 11:15:09	ga_ls8c_ard_3-2-1_109076_2022-10-26_final
2022-11-03 10:26:07	ga_ls8c_ard_3-2-1_101077_2022-11-03_final
2022-11-23 11:38:59	ga_ls8c_ard_3-2-1_113074_2022-11-23_final
2022-11-26 10:28:37	ga_ls8c_ard_3-2-1_102068_2022-11-26_final
2022-11-30 10:10:42	ga_ls8c_ard_3-2-1_098085_2022-11-30_final
2023-01-03 09:52:12	ga_ls8c_ard_3-2-1_096070_2023-01-03_final
2023-01-03 11:32:41	ga_ls8c_ard_3-2-1_112074_2023-01-03_final
2023-01-07 11:07:33	ga_ls8c_ard_3-2-1_108073_2023-01-07_final
2023-01-08 11:52:48	ga_ls8c_ard_3-2-1_115078_2023-01-08_final
2023-01-09 09:17:05	ga_ls8c_ard_3-2-1_090075_2023-01-08_final
2023-01-25 09:22:15	ga_ls8c_ard_3-2-1_090088_2023-01-24_final
2023-01-29 10:28:27	ga_ls8c_ard_3-2-1_102068_2023-01-29_final
2023-01-31 10:18:05	ga_ls8c_ard_3-2-1_100073_2023-01-31_final
2023-02-07 10:23:27	ga_ls8c_ard_3-2-1_101071_2023-02-07_final
2023-02-14 10:29:33	ga_ls8c_ard_3-2-1_102071_2023-02-14_final
2023-02-21 10:35:36	ga_ls8c_ard_3-2-1_103071_2023-02-21_final
2023-02-24 11:10:01	ga_ls8c_ard_3-2-1_108080_2023-02-24_final
2023-03-01 09:52:27	ga_ls8c_ard_3-2-1_095087_2023-03-01_final
2023-03-10 11:18:17	ga_ls8c_ard_3-2-1_110070_2023-03-10_final
2023-03-10 11:19:29	ga_ls8c_ard_3-2-1_110073_2023-03-10_final
2023-03-13 10:11:30	ga_ls8c_ard_3-2-1_099073_2023-03-13_final
2023-03-17 09:46:21	ga_ls8c_ard_3-2-1_095072_2023-03-17_final
2023-03-23 09:11:58	ga_ls8c_ard_3-2-1_089079_2023-03-22_final
2023-03-28 09:32:52	ga_ls8c_ard_3-2-1_092085_2023-03-28_final
2023-03-28 11:07:46	ga_ls8c_ard_3-2-1_108075_2023-03-28_final
2023-03-29 10:10:56	ga_ls8c_ard_3-2-1_099072_2023-03-29_final
2023-03-30 09:17:18	ga_ls8c_ard_3-2-1_090077_2023-03-29_final
2023-04-08 09:14:09	ga_ls8c_ard_3-2-1_089085_2023-04-07_final
2023-04-12 10:23:51	ga_ls8c_ard_3-2-1_101074_2023-04-12_final
2023-05-08 10:59:09	ga_ls8c_ard_3-2-1_107070_2023-05-08_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