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
2018-11-10 10:08:40	ga_ls8c_ard_3-2-1_099066_2018-11-10_final
2021-11-06 08:11:07	ga_ls8c_ard_3-2-1_079080_2021-11-05_final
2022-06-24 09:15:56	ga_ls8c_ard_3-2-1_089088_2022-06-23_final
2022-07-08 12:37:42	ga_ls8c_ard_3-2-1_123067_2022-07-08_final
2023-02-01 11:03:21	ga_ls8c_ard_3-2-1_107078_2023-02-01_final
2023-02-03 10:50:11	ga_ls8c_ard_3-2-1_105076_2023-02-03_final
2023-02-03 10:51:47	ga_ls8c_ard_3-2-1_105080_2023-02-03_final
2023-02-04 11:35:50	ga_ls8c_ard_3-2-1_112082_2023-02-04_final
2023-03-12 11:07:07	ga_ls8c_ard_3-2-1_108073_2023-03-12_final
2023-03-19 09:37:33	ga_ls8c_ard_3-2-1_093081_2023-03-19_final
2023-03-19 11:13:38	ga_ls8c_ard_3-2-1_109074_2023-03-19_final
2023-03-23 10:46:03	ga_ls8c_ard_3-2-1_105067_2023-03-23_final
2023-03-23 10:47:15	ga_ls8c_ard_3-2-1_105070_2023-03-23_final
2023-06-05 09:48:57	ga_ls8c_ard_3-2-1_095080_2023-06-05_final
2023-06-05 11:25:27	ga_ls8c_ard_3-2-1_111074_2023-06-05_final
2023-06-07 09:37:01	ga_ls8c_ard_3-2-1_093081_2023-06-07_final
2023-06-09 09:23:05	ga_ls8c_ard_3-2-1_091077_2023-06-08_final
2023-06-14 11:23:21	ga_ls8c_ard_3-2-1_110084_2023-06-14_final
2023-06-20 10:40:42	ga_ls8c_ard_3-2-1_104070_2023-06-20_final
2023-06-21 09:45:28	ga_ls8c_ard_3-2-1_095071_2023-06-21_final
2023-06-21 11:25:33	ga_ls8c_ard_3-2-1_111074_2023-06-21_final
2023-07-02 11:07:58	ga_ls8c_ard_3-2-1_108076_2023-07-02_final
2023-07-09 09:36:07	ga_ls8c_ard_3-2-1_093078_2023-07-09_final
2023-07-16 09:40:20	ga_ls8c_ard_3-2-1_094073_2023-07-16_final
2023-07-17 10:22:47	ga_ls8c_ard_3-2-1_101071_2023-07-17_final
2023-07-20 12:30:58	ga_ls8c_ard_3-2-1_122067_2023-07-20_final
2023-07-23 09:49:20	ga_ls8c_ard_3-2-1_095080_2023-07-23_final
2023-07-25 09:38:36	ga_ls8c_ard_3-2-1_093084_2023-07-25_final
2023-08-07 10:41:05	ga_ls8c_ard_3-2-1_104070_2023-08-07_final
2023-08-07 10:44:41	ga_ls8c_ard_3-2-1_104079_2023-08-07_final
2023-08-09 10:27:56	ga_ls8c_ard_3-2-1_102068_2023-08-09_final
2023-08-10 09:38:41	ga_ls8c_ard_3-2-1_093084_2023-08-10_final
2023-08-24 09:52:23	ga_ls8c_ard_3-2-1_095087_2023-08-24_final
2023-09-02 09:46:12	ga_ls8c_ard_3-2-1_094087_2023-09-02_final
2023-09-03 10:22:40	ga_ls8c_ard_3-2-1_101070_2023-09-03_final
2023-09-04 11:05:56	ga_ls8c_ard_3-2-1_108070_2023-09-04_final
2023-09-09 11:24:53	ga_ls8c_ard_3-2-1_111071_2023-09-09_final
2023-09-12 11:57:49	ga_ls8c_ard_3-2-1_116076_2023-09-12_final
2023-09-20 11:07:37	ga_ls8c_ard_3-2-1_108074_2023-09-20_final
2023-09-27 11:14:38	ga_ls8c_ard_3-2-1_109076_2023-09-27_final
2023-10-01 10:49:32	ga_ls8c_ard_3-2-1_105075_2023-10-01_final
2023-10-03 10:34:46	ga_ls8c_ard_3-2-1_103069_2023-10-03_final
2023-10-03 10:39:57	ga_ls8c_ard_3-2-1_103082_2023-10-03_final
2023-10-10 10:45:46	ga_ls8c_ard_3-2-1_104081_2023-10-10_final
2023-10-11 09:51:45	ga_ls8c_ard_3-2-1_095085_2023-10-11_final
2023-10-15 09:22:15	ga_ls8c_ard_3-2-1_091073_2023-10-14_final
2023-10-20 09:44:21	ga_ls8c_ard_3-2-1_094082_2023-10-20_final
2023-10-20 11:18:27	ga_ls8c_ard_3-2-1_110070_2023-10-20_final
2023-10-25 11:38:38	ga_ls8c_ard_3-2-1_113074_2023-10-25_final
2023-10-27 09:52:12	ga_ls8c_ard_3-2-1_095086_2023-10-27_final
2023-10-27 11:30:17	ga_ls8c_ard_3-2-1_111084_2023-10-27_final
2023-10-30 10:18:19	ga_ls8c_ard_3-2-1_100074_2023-10-30_final
2023-11-07 09:32:25	ga_ls8c_ard_3-2-1_092083_2023-11-07_final
2023-11-07 09:34:25	ga_ls8c_ard_3-2-1_092088_2023-11-07_final
2023-11-16 11:02:46	ga_ls8c_ard_3-2-1_107077_2023-11-16_final
2023-11-18 10:48:49	ga_ls8c_ard_3-2-1_105073_2023-11-18_final
2023-11-18 10:50:25	ga_ls8c_ard_3-2-1_105077_2023-11-18_final
2023-11-18 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-11-18_final
2023-11-19 11:36:29	ga_ls8c_ard_3-2-1_112084_2023-11-19_final
2023-11-21 09:45:39	ga_ls8c_ard_3-2-1_094085_2023-11-21_final
2023-11-30 09:40:39	ga_ls8c_ard_3-2-1_093088_2023-11-30_final
2023-12-02 11:05:32	ga_ls8c_ard_3-2-1_107084_2023-12-02_final
2023-12-08 10:25:59	ga_ls8c_ard_3-2-1_101078_2023-12-08_final
2023-12-09 09:32:22	ga_ls8c_ard_3-2-1_092083_2023-12-09_final
2023-12-09 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-12-09_final
2023-12-10 10:11:39	ga_ls8c_ard_3-2-1_099073_2023-12-10_final
2023-12-17 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-12-17_final
2023-12-17 11:57:59	ga_ls8c_ard_3-2-1_116076_2023-12-17_final
2023-12-21 09:57:36	ga_ls8c_ard_3-2-1_096084_2023-12-21_final
2023-12-23 11:18:32	ga_ls8c_ard_3-2-1_110070_2023-12-23_final
2023-12-25 09:31:40	ga_ls8c_ard_3-2-1_092081_2023-12-25_final
2023-12-25 11:07:45	ga_ls8c_ard_3-2-1_108074_2023-12-25_final
2023-12-27 09:22:05	ga_ls8c_ard_3-2-1_090088_2023-12-26_final
2024-01-07 10:39:31	ga_ls8c_ard_3-2-1_103081_2024-01-07_final
2024-01-12 10:57:42	ga_ls8c_ard_3-2-1_106080_2024-01-12_final
2024-01-13 11:41:22	ga_ls8c_ard_3-2-1_113081_2024-01-13_final
2024-01-24 09:44:15	ga_ls8c_ard_3-2-1_094082_2024-01-24_final
2024-01-28 09:20:18	ga_ls8c_ard_3-2-1_090084_2024-01-27_final
2024-02-02 11:11:48	ga_ls8c_ard_3-2-1_109069_2024-02-02_final
2024-02-06 09:13:25	ga_ls8c_ard_3-2-1_089082_2024-02-05_final
2024-02-08 10:39:08	ga_ls8c_ard_3-2-1_103080_2024-02-08_final
2024-02-11 09:29:33	ga_ls8c_ard_3-2-1_092076_2024-02-10_final
2024-02-13 10:56:04	ga_ls8c_ard_3-2-1_106076_2024-02-13_final
2024-02-15 10:45:41	ga_ls8c_ard_3-2-1_104081_2024-02-15_final
2024-02-17 10:28:56	ga_ls8c_ard_3-2-1_102070_2024-02-17_final
2024-02-20 11:02:37	ga_ls8c_ard_3-2-1_107077_2024-02-20_final
2024-02-24 10:34:18	ga_ls8c_ard_3-2-1_103068_2024-02-24_final
2024-03-03 08:10:39	ga_ls8c_ard_3-2-1_079080_2024-03-02_final
2024-03-09 10:51:15	ga_ls8c_ard_3-2-1_105080_2024-03-09_final
2024-03-12 09:44:04	ga_ls8c_ard_3-2-1_094082_2024-03-12_final
2024-03-14 11:07:47	ga_ls8c_ard_3-2-1_108075_2024-03-14_final
2024-03-16 10:55:48	ga_ls8c_ard_3-2-1_106076_2024-03-16_final
2024-03-19 09:48:11	ga_ls8c_ard_3-2-1_095077_2024-03-19_final
2024-03-21 09:36:59	ga_ls8c_ard_3-2-1_093080_2024-03-21_final
2024-03-22 10:17:50	ga_ls8c_ard_3-2-1_100074_2024-03-22_final
2024-03-23 11:02:16	ga_ls8c_ard_3-2-1_107077_2024-03-23_final
2024-03-24 10:07:50	ga_ls8c_ard_3-2-1_098080_2024-03-24_final
2024-03-24 11:46:42	ga_ls8c_ard_3-2-1_114080_2024-03-24_final
2024-03-26 09:57:00	ga_ls8c_ard_3-2-1_096084_2024-03-26_final
2024-03-27 10:38:38	ga_ls8c_ard_3-2-1_103080_2024-03-27_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