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
2021-01-27 10:07:29	ga_ls8c_ard_3-2-0_098078_2021-01-27_final
2021-03-10 10:40:20	ga_ls8c_ard_3-2-0_104068_2021-03-10_final
2021-03-21 10:27:41	ga_ls8c_ard_3-2-0_101083_2021-03-21_final
2021-04-17 11:45:30	ga_ls8c_ard_3-2-0_114077_2021-04-17_final
2021-04-18 10:51:04	ga_ls8c_ard_3-2-0_105080_2021-04-18_final
2021-04-24 10:15:32	ga_ls8c_ard_3-2-0_099084_2021-04-24_final
2021-05-03 10:04:04	ga_ls8c_ard_3-2-0_098071_2021-05-03_final
2021-05-14 11:28:27	ga_ls8c_ard_3-2-0_111081_2021-05-14_final
2021-05-27 09:16:24	ga_ls8c_ard_3-2-0_090075_2021-05-26_final
2021-07-05 09:27:58	ga_ls8c_ard_3-2-0_091088_2021-07-04_final
2021-07-08 09:57:41	ga_ls8c_ard_3-2-0_096085_2021-07-08_final
2021-07-12 09:28:34	ga_ls8c_ard_3-2-0_092074_2021-07-11_final
2021-07-19 09:31:59	ga_ls8c_ard_3-2-0_093067_2021-07-19_final
2021-07-20 10:19:39	ga_ls8c_ard_3-2-0_100078_2021-07-20_final
2021-07-30 09:16:44	ga_ls8c_ard_3-2-0_090075_2021-07-29_final
2021-08-11 09:40:45	ga_ls8c_ard_3-2-0_094073_2021-08-11_final
2021-08-13 09:33:35	ga_ls8c_ard_3-2-0_092086_2021-08-13_final
2021-08-17 10:40:59	ga_ls8c_ard_3-2-0_104069_2021-08-17_final
2021-08-24 09:11:54	ga_ls8c_ard_3-2-0_089078_2021-08-23_final
2021-09-06 10:22:21	ga_ls8c_ard_3-2-0_100084_2021-09-06_final
2021-09-14 09:34:08	ga_ls8c_ard_3-2-0_092087_2021-09-14_final
2021-10-13 10:40:15	ga_ls8c_ard_3-2-0_103082_2021-10-13_final
2021-10-17 10:10:21	ga_ls8c_ard_3-2-0_099069_2021-10-17_final
2021-10-21 09:51:13	ga_ls8c_ard_3-2-0_095083_2021-10-21_final
2021-11-07 10:28:28	ga_ls8c_ard_3-2-0_102068_2021-11-07_final
2021-11-12 10:49:46	ga_ls8c_ard_3-2-0_105075_2021-11-12_final
2021-11-23 10:29:13	ga_ls8c_ard_3-2-0_102070_2021-11-23_final
2021-11-27 10:10:29	ga_ls8c_ard_3-2-0_098085_2021-11-27_final
2021-12-16 10:34:35	ga_ls8c_ard_3-2-1_103068_2021-12-16_final
2021-12-24 09:46:18	ga_ls8c_ard_3-2-1_095071_2021-12-24_final
2022-01-09 11:30:19	ga_ls8c_ard_3-2-1_111084_2022-01-09_final
2022-02-07 10:55:18	ga_ls8c_ard_3-2-1_106074_2022-02-07_final
2022-02-12 09:34:32	ga_ls8c_ard_3-2-1_093073_2022-02-12_final
2022-02-24 11:42:04	ga_ls8c_ard_3-2-1_113083_2022-02-24_final
2022-03-11 10:55:57	ga_ls8c_ard_3-2-1_106076_2022-03-11_final
2022-04-01 11:11:28	ga_ls8c_ard_3-2-1_109069_2022-04-01_final
2022-04-02 11:57:55	ga_ls8c_ard_3-2-1_116077_2022-04-02_final
2022-05-22 10:09:41	ga_ls8c_ard_3-2-1_098084_2022-05-22_final
2022-07-11 09:52:01	ga_ls8c_ard_3-2-1_096070_2022-07-11_final
2022-07-13 09:44:50	ga_ls8c_ard_3-2-1_094083_2022-07-13_final
2022-08-05 09:52:51	ga_ls8c_ard_3-2-1_095087_2022-08-05_final
2022-08-08 10:18:35	ga_ls8c_ard_3-2-1_100074_2022-08-08_final
2022-08-18 10:54:07	ga_ls8c_ard_3-2-1_106070_2022-08-18_final
2022-08-19 10:04:29	ga_ls8c_ard_3-2-1_097085_2022-08-19_final
2022-08-25 11:01:54	ga_ls8c_ard_3-2-1_107074_2022-08-25_final
2022-09-05 09:06:53	ga_ls8c_ard_3-2-1_088080_2022-09-04_final
2022-09-05 10:46:34	ga_ls8c_ard_3-2-1_104082_2022-09-05_final
2022-09-19 09:17:21	ga_ls8c_ard_3-2-1_090075_2022-09-18_final
2022-09-23 10:29:07	ga_ls8c_ard_3-2-1_102069_2022-09-23_final
2022-10-10 09:37:47	ga_ls8c_ard_3-2-1_093080_2022-10-10_final
2022-10-28 09:22:43	ga_ls8c_ard_3-2-1_091073_2022-10-27_final
2022-11-06 09:21:20	ga_ls8c_ard_3-2-1_090085_2022-11-05_final
2022-11-06 09:23:19	ga_ls8c_ard_3-2-1_090090_2022-11-05_final
2022-11-06 10:55:49	ga_ls8c_ard_3-2-1_106074_2022-11-06_final
2022-11-18 09:40:44	ga_ls8c_ard_3-2-1_094072_2022-11-18_final
2022-11-20 11:07:40	ga_ls8c_ard_3-2-1_108073_2022-11-20_final
2022-12-06 09:34:24	ga_ls8c_ard_3-2-1_092087_2022-12-06_final
2022-12-15 09:29:21	ga_ls8c_ard_3-2-1_091090_2022-12-14_final
2022-12-29 09:40:02	ga_ls8c_ard_3-2-1_093086_2022-12-29_final
2023-01-18 09:14:47	ga_ls8c_ard_3-2-1_089085_2023-01-17_final
2023-02-08 09:29:01	ga_ls8c_ard_3-2-1_092074_2023-02-07_final
2023-02-08 09:33:24	ga_ls8c_ard_3-2-1_092085_2023-02-08_final
2023-02-17 09:28:42	ga_ls8c_ard_3-2-1_091089_2023-02-16_final
2023-03-03 11:12:58	ga_ls8c_ard_3-2-1_109072_2023-03-03_final
2023-03-17 09:50:20	ga_ls8c_ard_3-2-1_095082_2023-03-17_final
2023-03-30 10:53:23	ga_ls8c_ard_3-2-1_106070_2023-03-30_final
2023-04-07 10:07:00	ga_ls8c_ard_3-2-1_098078_2023-04-07_final
2023-04-08 09:14:09	ga_ls8c_ard_3-2-1_089085_2023-04-07_final
2023-04-18 11:29:36	ga_ls8c_ard_3-2-1_111084_2023-04-18_final
2023-04-24 09:12:02	ga_ls8c_ard_3-2-1_089080_2023-04-23_final
2023-04-30 11:50:41	ga_ls8c_ard_3-2-1_115075_2023-04-30_final
2023-05-06 09:33:03	ga_ls8c_ard_3-2-1_093071_2023-05-06_final
2023-05-23 10:17:00	ga_ls8c_ard_3-2-1_100073_2023-05-23_final
2023-06-10 10:03:10	ga_ls8c_ard_3-2-1_098069_2023-06-10_final
2023-06-12 09:57:13	ga_ls8c_ard_3-2-1_096085_2023-06-12_final
2023-06-16 09:28:07	ga_ls8c_ard_3-2-1_092074_2023-06-15_final
2023-06-25 09:21:59	ga_ls8c_ard_3-2-1_091074_2023-06-24_final
2023-06-27 09:09:40	ga_ls8c_ard_3-2-1_089074_2023-06-26_final
2023-07-03 10:09:33	ga_ls8c_ard_3-2-1_099069_2023-07-03_final
2023-07-09 09:39:43	ga_ls8c_ard_3-2-1_093087_2023-07-09_final
2023-08-06 11:38:18	ga_ls8c_ard_3-2-1_113074_2023-08-06_final
2023-08-22 09:58:21	ga_ls8c_ard_3-2-1_097071_2023-08-22_final
2023-09-13 09:26:31	ga_ls8c_ard_3-2-1_091084_2023-09-12_final
2023-09-15 09:14:58	ga_ls8c_ard_3-2-1_089086_2023-09-14_final
2023-09-25 11:23:47	ga_ls8c_ard_3-2-1_111068_2023-09-25_final
2023-10-09 11:42:11	ga_ls8c_ard_3-2-1_113083_2023-10-09_final
2023-10-12 10:31:50	ga_ls8c_ard_3-2-1_102077_2023-10-12_final
2023-10-23 10:09:42	ga_ls8c_ard_3-2-1_099068_2023-10-23_final
2023-10-27 09:52:12	ga_ls8c_ard_3-2-1_095086_2023-10-27_final
2023-10-30 10:17:31	ga_ls8c_ard_3-2-1_100072_2023-10-30_final
2023-12-04 10:49:09	ga_ls8c_ard_3-2-1_105074_2023-12-04_final
2023-12-07 11:21:11	ga_ls8c_ard_3-2-1_110077_2023-12-07_final
2023-12-18 11:02:22	ga_ls8c_ard_3-2-1_107076_2023-12-18_final
2023-12-26 10:13:43	ga_ls8c_ard_3-2-1_099078_2023-12-26_final
2024-01-03 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-02_final
2024-01-03 09:26:34	ga_ls8c_ard_3-2-1_091084_2024-01-02_final
2024-01-26 09:34:15	ga_ls8c_ard_3-2-1_092088_2024-01-26_final
2024-02-08 10:36:45	ga_ls8c_ard_3-2-1_103074_2024-02-08_final
2024-02-21 10:07:24	ga_ls8c_ard_3-2-1_098078_2024-02-21_final
2024-02-25 11:19:32	ga_ls8c_ard_3-2-1_110073_2024-02-25_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