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
2016-11-27 08:42:45	ga_ls8c_ard_3-2-1_084082_2016-11-26_final
2016-12-02 14:03:55	ga_ls8c_ard_3-2-1_135097_2016-12-02_final
2016-12-15 10:02:49	ga_ls8c_ard_3-2-1_098066_2016-12-15_final
2017-11-07 10:09:01	ga_ls8c_ard_3-2-1_099066_2017-11-07_final
2017-12-10 12:31:25	ga_ls8c_ard_3-2-1_122067_2017-12-10_final
2017-12-13 08:18:04	ga_ls8c_ard_3-2-1_079098_2017-12-12_final
2017-12-16 08:42:35	ga_ls8c_ard_3-2-1_084082_2017-12-15_final
2018-09-27 08:10:25	ga_ls8c_ard_3-2-1_079080_2018-09-26_final
2018-10-13 08:10:32	ga_ls8c_ard_3-2-1_079080_2018-10-12_final
2018-10-13 08:17:44	ga_ls8c_ard_3-2-1_079098_2018-10-12_final
2018-11-11 12:31:13	ga_ls8c_ard_3-2-1_122067_2018-11-11_final
2018-11-18 12:37:24	ga_ls8c_ard_3-2-1_123067_2018-11-18_final
2018-11-21 08:24:01	ga_ls8c_ard_3-2-1_080098_2018-11-20_final
2019-10-04 12:37:49	ga_ls8c_ard_3-2-1_123067_2019-10-04_final
2019-10-16 08:11:06	ga_ls8c_ard_3-2-1_079080_2019-10-15_final
2019-10-20 12:37:51	ga_ls8c_ard_3-2-1_123067_2019-10-20_final
2019-10-26 08:48:59	ga_ls8c_ard_3-2-1_085082_2019-10-25_final
2019-11-20 08:42:44	ga_ls8c_ard_3-2-1_084082_2019-11-19_final
2019-11-27 08:48:55	ga_ls8c_ard_3-2-1_085082_2019-11-26_final
2019-12-19 08:11:00	ga_ls8c_ard_3-2-1_079080_2019-12-18_final
2020-07-19 10:02:27	ga_ls8c_ard_3-2-1_098066_2020-07-19_final
2020-08-09 08:48:34	ga_ls8c_ard_3-2-1_085082_2020-08-08_final
2020-08-12 12:31:15	ga_ls8c_ard_3-2-1_122067_2020-08-12_final
2020-08-27 10:08:51	ga_ls8c_ard_3-2-1_099066_2020-08-27_final
2020-10-18 08:18:14	ga_ls8c_ard_3-2-1_079098_2020-10-17_final
2020-10-23 10:02:53	ga_ls8c_ard_3-2-1_098066_2020-10-23_final
2020-11-19 08:18:12	ga_ls8c_ard_3-2-1_079098_2020-11-18_final
2020-12-15 08:48:56	ga_ls8c_ard_3-2-1_085082_2020-12-14_final
2020-12-31 08:48:53	ga_ls8c_ard_3-2-1_085082_2020-12-30_final
2021-02-26 08:42:25	ga_ls8c_ard_3-2-1_084082_2021-02-25_final
2021-03-02 08:24:03	ga_ls8c_ard_3-2-1_080098_2021-03-01_final
2021-03-11 08:10:36	ga_ls8c_ard_3-2-1_079080_2021-03-10_final
2021-03-18 08:23:54	ga_ls8c_ard_3-2-1_080098_2021-03-17_final
2021-03-27 08:10:31	ga_ls8c_ard_3-2-1_079080_2021-03-26_final
2021-03-31 12:37:14	ga_ls8c_ard_3-2-1_123067_2021-03-31_final
2021-04-16 12:37:08	ga_ls8c_ard_3-2-1_123067_2021-04-16_final
2021-04-24 10:08:21	ga_ls8c_ard_3-2-1_099066_2021-04-24_final
2021-05-10 10:08:15	ga_ls8c_ard_3-2-1_099066_2021-05-10_final
2021-09-03 08:18:08	ga_ls8c_ard_3-2-1_079098_2021-09-02_final
2021-09-19 08:18:12	ga_ls8c_ard_3-2-1_079098_2021-09-18_final
2021-09-24 10:02:51	ga_ls8c_ard_3-2-1_098066_2021-09-24_final
2021-09-26 08:24:24	ga_ls8c_ard_3-2-1_080098_2021-09-25_final
2021-11-06 08:18:19	ga_ls8c_ard_3-2-1_079098_2021-11-05_final
2021-11-11 10:02:56	ga_ls8c_ard_3-2-1_098066_2021-11-11_final
2021-11-16 08:48:56	ga_ls8c_ard_3-2-1_085082_2021-11-15_final
2021-11-27 10:02:54	ga_ls8c_ard_3-2-1_098066_2021-11-27_final
2021-12-02 08:48:57	ga_ls8c_ard_3-2-1_085082_2021-12-01_final
2021-12-05 12:31:38	ga_ls8c_ard_3-2-1_122067_2021-12-05_final
2021-12-13 10:02:54	ga_ls8c_ard_3-2-1_098066_2021-12-13_final
2021-12-21 12:31:36	ga_ls8c_ard_3-2-1_122067_2021-12-21_final
2022-01-06 12:31:31	ga_ls8c_ard_3-2-1_122067_2022-01-06_final
2022-02-17 08:24:08	ga_ls8c_ard_3-2-1_080098_2022-02-16_final
2022-03-05 08:24:05	ga_ls8c_ard_3-2-1_080098_2022-03-04_final
2022-03-10 10:08:43	ga_ls8c_ard_3-2-1_099066_2022-03-10_final
2022-03-21 08:23:57	ga_ls8c_ard_3-2-1_080098_2022-03-20_final
2022-03-26 10:08:32	ga_ls8c_ard_3-2-1_099066_2022-03-26_final
2022-03-30 08:10:27	ga_ls8c_ard_3-2-1_079080_2022-03-29_final
2022-04-03 12:37:12	ga_ls8c_ard_3-2-1_123067_2022-04-03_final
2022-04-06 08:23:51	ga_ls8c_ard_3-2-1_080098_2022-04-05_final
2022-04-11 10:08:33	ga_ls8c_ard_3-2-1_099066_2022-04-11_final
2022-04-15 08:10:33	ga_ls8c_ard_3-2-1_079080_2022-04-14_final
2022-05-05 12:37:18	ga_ls8c_ard_3-2-1_123067_2022-05-05_final
2022-05-06 10:02:24	ga_ls8c_ard_3-2-1_098066_2022-05-06_final
2022-05-17 08:17:50	ga_ls8c_ard_3-2-1_079098_2022-05-16_final
2022-05-22 10:02:30	ga_ls8c_ard_3-2-1_098066_2022-05-22_final
2022-06-02 08:17:54	ga_ls8c_ard_3-2-1_079098_2022-06-01_final
2022-06-05 08:42:28	ga_ls8c_ard_3-2-1_084082_2022-06-04_final
2022-06-21 08:42:38	ga_ls8c_ard_3-2-1_084082_2022-06-20_final
2022-07-07 08:42:39	ga_ls8c_ard_3-2-1_084082_2022-07-06_final
2022-08-02 12:31:43	ga_ls8c_ard_3-2-1_122067_2022-08-02_final
2022-08-18 12:31:48	ga_ls8c_ard_3-2-1_122067_2022-08-18_final
2022-09-26 12:38:06	ga_ls8c_ard_3-2-1_123067_2022-09-26_final
2022-11-19 08:49:07	ga_ls8c_ard_3-2-1_085082_2022-11-18_final
2022-11-25 08:11:16	ga_ls8c_ard_3-2-1_079080_2022-11-24_final
2022-11-29 12:38:01	ga_ls8c_ard_3-2-1_123067_2022-11-29_final
2022-12-05 08:49:09	ga_ls8c_ard_3-2-1_085082_2022-12-04_final
2022-12-11 08:11:14	ga_ls8c_ard_3-2-1_079080_2022-12-10_final
2022-12-15 12:37:57	ga_ls8c_ard_3-2-1_123067_2022-12-15_final
2022-12-27 08:11:07	ga_ls8c_ard_3-2-1_079080_2022-12-26_final
2023-02-04 08:24:28	ga_ls8c_ard_3-2-1_080098_2023-02-03_final
2023-02-20 08:24:15	ga_ls8c_ard_3-2-1_080098_2023-02-19_final
2023-03-08 08:24:04	ga_ls8c_ard_3-2-1_080098_2023-03-07_final
2023-03-13 10:08:42	ga_ls8c_ard_3-2-1_099066_2023-03-13_final
2023-04-14 10:08:17	ga_ls8c_ard_3-2-1_099066_2023-04-14_final
2023-04-30 10:08:13	ga_ls8c_ard_3-2-1_099066_2023-04-30_final
2023-05-17 12:30:32	ga_ls8c_ard_3-2-1_122067_2023-05-17_final
2023-05-23 08:41:43	ga_ls8c_ard_3-2-1_084082_2023-05-22_final
2023-06-08 08:41:49	ga_ls8c_ard_3-2-1_084082_2023-06-07_final
2023-07-20 12:30:58	ga_ls8c_ard_3-2-1_122067_2023-07-20_final
2023-08-05 12:31:08	ga_ls8c_ard_3-2-1_122067_2023-08-05_final
2023-08-08 08:17:46	ga_ls8c_ard_3-2-1_079098_2023-08-07_final
2023-08-13 10:02:26	ga_ls8c_ard_3-2-1_098066_2023-08-13_final
2023-08-29 10:02:33	ga_ls8c_ard_3-2-1_098066_2023-08-29_final
2023-08-31 08:24:05	ga_ls8c_ard_3-2-1_080098_2023-08-30_final
2023-09-16 08:24:09	ga_ls8c_ard_3-2-1_080098_2023-09-15_final
2023-09-19 08:48:40	ga_ls8c_ard_3-2-1_085082_2023-09-18_final
2023-10-05 08:48:42	ga_ls8c_ard_3-2-1_085082_2023-10-04_final
2023-11-06 08:48:47	ga_ls8c_ard_3-2-1_085082_2023-11-05_final
2023-12-10 10:08:52	ga_ls8c_ard_3-2-1_099066_2023-12-10_final
2023-12-26 10:08:56	ga_ls8c_ard_3-2-1_099066_2023-12-26_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