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
2020-06-28 08:10:28	ga_ls8c_ard_3-2-1_079080_2020-06-27_final
2022-03-27 09:22:52	ga_ls8c_ard_3-2-1_090091_2022-03-26_final
2022-10-11 11:57:55	ga_ls8c_ard_3-2-1_116075_2022-10-11_final
2023-03-12 11:07:07	ga_ls8c_ard_3-2-1_108073_2023-03-12_final
2023-03-21 11:01:39	ga_ls8c_ard_3-2-1_107075_2023-03-21_final
2023-05-15 11:10:25	ga_ls8c_ard_3-2-1_108083_2023-05-15_final
2023-05-17 09:21:33	ga_ls8c_ard_3-2-1_090089_2023-05-16_final
2023-05-21 10:28:09	ga_ls8c_ard_3-2-1_102070_2023-05-21_final
2023-05-24 09:26:10	ga_ls8c_ard_3-2-1_091085_2023-05-23_final
2023-05-24 09:27:22	ga_ls8c_ard_3-2-1_091088_2023-05-23_final
2023-05-24 11:00:40	ga_ls8c_ard_3-2-1_107074_2023-05-24_final
2023-05-29 09:43:32	ga_ls8c_ard_3-2-1_094082_2023-05-29_final
2023-05-29 11:20:01	ga_ls8c_ard_3-2-1_110076_2023-05-29_final
2023-06-02 10:52:54	ga_ls8c_ard_3-2-1_106070_2023-06-02_final
2023-06-07 09:34:14	ga_ls8c_ard_3-2-1_093074_2023-06-07_final
2023-06-09 10:59:35	ga_ls8c_ard_3-2-1_107071_2023-06-09_final
2023-06-10 10:04:22	ga_ls8c_ard_3-2-1_098072_2023-06-10_final
2023-06-22 10:28:20	ga_ls8c_ard_3-2-1_102070_2023-06-22_final
2023-06-23 11:12:48	ga_ls8c_ard_3-2-1_109073_2023-06-23_final
2023-07-06 09:06:24	ga_ls8c_ard_3-2-1_088081_2023-07-05_final
2023-07-16 09:40:44	ga_ls8c_ard_3-2-1_094074_2023-07-16_final
2023-07-17 10:27:35	ga_ls8c_ard_3-2-1_101083_2023-07-17_final
2023-07-19 10:10:02	ga_ls8c_ard_3-2-1_099070_2023-07-19_final
2023-07-20 09:17:12	ga_ls8c_ard_3-2-1_090077_2023-07-19_final
2023-07-22 09:06:27	ga_ls8c_ard_3-2-1_088081_2023-07-21_final
2023-07-23 09:46:32	ga_ls8c_ard_3-2-1_095073_2023-07-23_final
2023-07-28 10:07:56	ga_ls8c_ard_3-2-1_098080_2023-07-28_final
2023-08-01 09:46:03	ga_ls8c_ard_3-2-1_094087_2023-08-01_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
2023-08-26 09:40:26	ga_ls8c_ard_3-2-1_093088_2023-08-26_final
2023-08-28 09:28:52	ga_ls8c_ard_3-2-1_091090_2023-08-27_final
2023-08-28 10:59:46	ga_ls8c_ard_3-2-1_107070_2023-08-28_final
2023-08-29 10:07:20	ga_ls8c_ard_3-2-1_098078_2023-08-29_final
2023-09-05 10:11:30	ga_ls8c_ard_3-2-1_099073_2023-09-05_final
2023-09-06 09:22:39	ga_ls8c_ard_3-2-1_090090_2023-09-05_final
2023-09-06 10:53:57	ga_ls8c_ard_3-2-1_106071_2023-09-06_final
2023-09-09 09:46:48	ga_ls8c_ard_3-2-1_095073_2023-09-09_final
2023-09-15 10:46:40	ga_ls8c_ard_3-2-1_105068_2023-09-15_final
2023-09-18 09:41:05	ga_ls8c_ard_3-2-1_094074_2023-09-18_final
2023-09-18 09:44:17	ga_ls8c_ard_3-2-1_094082_2023-09-18_final
2023-09-18 11:20:46	ga_ls8c_ard_3-2-1_110076_2023-09-18_final
2023-09-19 10:25:57	ga_ls8c_ard_3-2-1_101078_2023-09-19_final
2023-09-22 10:54:51	ga_ls8c_ard_3-2-1_106073_2023-09-22_final
2023-09-25 09:49:17	ga_ls8c_ard_3-2-1_095079_2023-09-25_final
2023-09-26 10:28:34	ga_ls8c_ard_3-2-1_102069_2023-09-26_final
2023-09-29 11:02:17	ga_ls8c_ard_3-2-1_107076_2023-09-29_final
2023-09-29 11:05:29	ga_ls8c_ard_3-2-1_107084_2023-09-29_final
2023-10-01 09:11:51	ga_ls8c_ard_3-2-1_089078_2023-09-30_final
2023-10-07 10:10:27	ga_ls8c_ard_3-2-1_099070_2023-10-07_final
2023-10-07 11:51:20	ga_ls8c_ard_3-2-1_115075_2023-10-07_final
2023-10-08 10:53:20	ga_ls8c_ard_3-2-1_106069_2023-10-08_final
2023-10-08 10:53:44	ga_ls8c_ard_3-2-1_106070_2023-10-08_final
2023-10-10 10:42:59	ga_ls8c_ard_3-2-1_104074_2023-10-10_final
2023-10-23 10:15:41	ga_ls8c_ard_3-2-1_099083_2023-10-23_final
2023-10-25 11:42:14	ga_ls8c_ard_3-2-1_113083_2023-10-25_final
2023-10-27 09:47:01	ga_ls8c_ard_3-2-1_095073_2023-10-27_final
2023-10-27 09:47:25	ga_ls8c_ard_3-2-1_095074_2023-10-27_final
2023-10-27 09:52:36	ga_ls8c_ard_3-2-1_095087_2023-10-27_final
2023-10-30 11:58:00	ga_ls8c_ard_3-2-1_116076_2023-10-30_final
2023-10-31 09:26:17	ga_ls8c_ard_3-2-1_091083_2023-10-30_final
2023-11-05 11:24:05	ga_ls8c_ard_3-2-1_110084_2023-11-05_final
2023-11-13 10:31:02	ga_ls8c_ard_3-2-1_102075_2023-11-13_final
2023-11-15 10:19:05	ga_ls8c_ard_3-2-1_100076_2023-11-15_final
2023-11-18 09:13:08	ga_ls8c_ard_3-2-1_089081_2023-11-17_final
2023-11-18 10:52:49	ga_ls8c_ard_3-2-1_105083_2023-11-18_final
2023-11-21 11:21:21	ga_ls8c_ard_3-2-1_110077_2023-11-21_final
2023-11-21 11:22:32	ga_ls8c_ard_3-2-1_110080_2023-11-21_final
2023-11-21 11:24:08	ga_ls8c_ard_3-2-1_110084_2023-11-21_final
2023-11-26 09:57:49	ga_ls8c_ard_3-2-1_097069_2023-11-26_final
2023-11-28 09:47:02	ga_ls8c_ard_3-2-1_095073_2023-11-28_final
2023-11-28 09:51:50	ga_ls8c_ard_3-2-1_095085_2023-11-28_final
2023-12-02 09:26:39	ga_ls8c_ard_3-2-1_091084_2023-12-01_final
2023-12-04 09:11:52	ga_ls8c_ard_3-2-1_089078_2023-12-03_final
2023-12-08 10:23:59	ga_ls8c_ard_3-2-1_101073_2023-12-08_final
2023-12-16 11:16:43	ga_ls8c_ard_3-2-1_109081_2023-12-16_final
2023-12-18 11:05:34	ga_ls8c_ard_3-2-1_107084_2023-12-18_final
2023-12-20 09:16:43	ga_ls8c_ard_3-2-1_089090_2023-12-19_final
2023-12-21 09:52:24	ga_ls8c_ard_3-2-1_096071_2023-12-21_final
2023-12-22 10:35:16	ga_ls8c_ard_3-2-1_103070_2023-12-22_final
2023-12-25 11:06:33	ga_ls8c_ard_3-2-1_108071_2023-12-25_final
2023-12-28 10:04:08	ga_ls8c_ard_3-2-1_097085_2023-12-28_final
2023-12-28 11:41:49	ga_ls8c_ard_3-2-1_113082_2023-12-28_final
2024-01-04 11:47:30	ga_ls8c_ard_3-2-1_114081_2024-01-04_final
2024-01-13 11:41:22	ga_ls8c_ard_3-2-1_113081_2024-01-13_final
2024-01-17 11:17:02	ga_ls8c_ard_3-2-1_109082_2024-01-17_final
2024-01-21 10:52:17	ga_ls8c_ard_3-2-1_105082_2024-01-21_final
2024-01-26 09:34:15	ga_ls8c_ard_3-2-1_092088_2024-01-26_final
2024-01-29 10:03:59	ga_ls8c_ard_3-2-1_097085_2024-01-29_final
2024-01-29 11:41:16	ga_ls8c_ard_3-2-1_113081_2024-01-29_final
2024-01-31 11:26:56	ga_ls8c_ard_3-2-1_111076_2024-01-31_final
2024-02-02 09:39:42	ga_ls8c_ard_3-2-1_093086_2024-02-02_final
2024-02-02 11:13:24	ga_ls8c_ard_3-2-1_109073_2024-02-02_final
2024-02-04 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-02-04_final
2024-02-09 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-02-09_final
2024-02-15 10:40:54	ga_ls8c_ard_3-2-1_104069_2024-02-15_final
2024-02-15 10:41:18	ga_ls8c_ard_3-2-1_104070_2024-02-15_final
2024-03-17 10:03:45	ga_ls8c_ard_3-2-1_097085_2024-03-17_final
2024-03-21 09:35:23	ga_ls8c_ard_3-2-1_093076_2024-03-21_final
2024-03-28 11:19:06	ga_ls8c_ard_3-2-1_110073_2024-03-28_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