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
2021-07-21 10:58:56	ga_ls8c_ard_3-2-0_107068_2021-07-21_final
2021-07-22 10:03:19	ga_ls8c_ard_3-2-0_098068_2021-07-22_final
2021-07-23 10:46:35	ga_ls8c_ard_3-2-0_105068_2021-07-23_final
2021-07-24 09:50:59	ga_ls8c_ard_3-2-0_096068_2021-07-24_final
2021-07-24 11:29:52	ga_ls8c_ard_3-2-0_112068_2021-07-24_final
2021-07-25 10:34:15	ga_ls8c_ard_3-2-0_103068_2021-07-25_final
2021-07-26 11:17:31	ga_ls8c_ard_3-2-0_110068_2021-07-26_final
2021-07-27 10:21:54	ga_ls8c_ard_3-2-0_101068_2021-07-27_final
2021-07-28 09:26:17	ga_ls8c_ard_3-2-0_092068_2021-07-27_final
2021-07-28 11:05:11	ga_ls8c_ard_3-2-0_108068_2021-07-28_final
2021-07-29 10:09:34	ga_ls8c_ard_3-2-0_099068_2021-07-29_final
2021-07-30 10:52:50	ga_ls8c_ard_3-2-0_106068_2021-07-30_final
2021-07-31 09:57:13	ga_ls8c_ard_3-2-0_097068_2021-07-31_final
2021-08-01 10:40:29	ga_ls8c_ard_3-2-0_104068_2021-08-01_final
2021-08-02 11:23:45	ga_ls8c_ard_3-2-0_111068_2021-08-02_final
2021-08-03 10:28:08	ga_ls8c_ard_3-2-0_102068_2021-08-03_final
2021-08-04 09:32:31	ga_ls8c_ard_3-2-0_093068_2021-08-04_final
2021-08-04 11:11:25	ga_ls8c_ard_3-2-0_109068_2021-08-04_final
2021-08-05 10:15:48	ga_ls8c_ard_3-2-0_100068_2021-08-05_final
2021-08-06 09:20:11	ga_ls8c_ard_3-2-0_091068_2021-08-05_final
2021-08-06 10:59:04	ga_ls8c_ard_3-2-0_107068_2021-08-06_final
2021-08-07 10:03:27	ga_ls8c_ard_3-2-0_098068_2021-08-07_final
2021-08-08 10:46:43	ga_ls8c_ard_3-2-0_105068_2021-08-08_final
2021-08-09 09:51:06	ga_ls8c_ard_3-2-0_096068_2021-08-09_final
2021-08-09 11:29:59	ga_ls8c_ard_3-2-0_112068_2021-08-09_final
2021-08-10 10:34:22	ga_ls8c_ard_3-2-0_103068_2021-08-10_final
2021-08-11 11:17:38	ga_ls8c_ard_3-2-0_110068_2021-08-11_final
2021-08-12 10:22:01	ga_ls8c_ard_3-2-0_101068_2021-08-12_final
2021-08-13 09:26:24	ga_ls8c_ard_3-2-0_092068_2021-08-12_final
2021-08-13 11:05:17	ga_ls8c_ard_3-2-0_108068_2021-08-13_final
2022-01-05 10:09:46	ga_ls8c_ard_3-2-1_099068_2022-01-05_final
2022-01-06 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-01-06_final
2022-01-07 09:57:25	ga_ls8c_ard_3-2-1_097068_2022-01-07_final
2022-01-08 10:40:40	ga_ls8c_ard_3-2-1_104068_2022-01-08_final
2022-01-09 11:23:56	ga_ls8c_ard_3-2-1_111068_2022-01-09_final
2022-01-10 10:28:18	ga_ls8c_ard_3-2-1_102068_2022-01-10_final
2022-01-17 10:34:28	ga_ls8c_ard_3-2-1_103068_2022-01-17_final
2022-01-21 10:09:43	ga_ls8c_ard_3-2-1_099068_2022-01-21_final
2022-01-22 10:52:58	ga_ls8c_ard_3-2-1_106068_2022-01-22_final
2022-01-23 09:57:21	ga_ls8c_ard_3-2-1_097068_2022-01-23_final
2022-01-24 10:40:36	ga_ls8c_ard_3-2-1_104068_2022-01-24_final
2022-01-25 11:23:51	ga_ls8c_ard_3-2-1_111068_2022-01-25_final
2022-02-16 10:46:41	ga_ls8c_ard_3-2-1_105068_2022-02-16_final
2022-02-18 10:34:18	ga_ls8c_ard_3-2-1_103068_2022-02-18_final
2022-02-22 10:09:33	ga_ls8c_ard_3-2-1_099068_2022-02-22_final
2022-02-23 10:52:49	ga_ls8c_ard_3-2-1_106068_2022-02-23_final
2022-02-24 09:57:12	ga_ls8c_ard_3-2-1_097068_2022-02-24_final
2022-02-25 10:40:27	ga_ls8c_ard_3-2-1_104068_2022-02-25_final
2022-02-26 11:23:43	ga_ls8c_ard_3-2-1_111068_2022-02-26_final
2022-02-27 10:28:06	ga_ls8c_ard_3-2-1_102068_2022-02-27_final
2022-03-10 10:09:30	ga_ls8c_ard_3-2-1_099068_2022-03-10_final
2022-03-11 10:52:46	ga_ls8c_ard_3-2-1_106068_2022-03-11_final
2022-03-12 09:57:08	ga_ls8c_ard_3-2-1_097068_2022-03-12_final
2022-03-13 10:40:23	ga_ls8c_ard_3-2-1_104068_2022-03-13_final
2022-03-14 11:23:38	ga_ls8c_ard_3-2-1_111068_2022-03-14_final
2022-03-15 10:28:00	ga_ls8c_ard_3-2-1_102068_2022-03-15_final
2022-03-18 10:58:52	ga_ls8c_ard_3-2-1_107068_2022-03-18_final
2022-03-19 10:03:14	ga_ls8c_ard_3-2-1_098068_2022-03-19_final
2022-03-20 10:46:29	ga_ls8c_ard_3-2-1_105068_2022-03-20_final
2022-03-22 10:34:06	ga_ls8c_ard_3-2-1_103068_2022-03-22_final
2022-03-26 10:09:19	ga_ls8c_ard_3-2-1_099068_2022-03-26_final
2022-03-27 10:52:34	ga_ls8c_ard_3-2-1_106068_2022-03-27_final
2022-03-28 09:56:56	ga_ls8c_ard_3-2-1_097068_2022-03-28_final
2022-03-29 10:40:11	ga_ls8c_ard_3-2-1_104068_2022-03-29_final
2022-03-30 11:23:26	ga_ls8c_ard_3-2-1_111068_2022-03-30_final
2022-03-31 10:27:48	ga_ls8c_ard_3-2-1_102068_2022-03-31_final
2022-04-03 10:58:42	ga_ls8c_ard_3-2-1_107068_2022-04-03_final
2022-04-04 10:03:06	ga_ls8c_ard_3-2-1_098068_2022-04-04_final
2022-05-05 10:58:48	ga_ls8c_ard_3-2-1_107068_2022-05-05_final
2022-05-06 10:03:12	ga_ls8c_ard_3-2-1_098068_2022-05-06_final
2022-05-07 10:46:28	ga_ls8c_ard_3-2-1_105068_2022-05-07_final
2022-06-15 10:52:58	ga_ls8c_ard_3-2-1_106068_2022-06-15_final
2022-06-16 09:57:21	ga_ls8c_ard_3-2-1_097068_2022-06-16_final
2022-06-17 10:40:37	ga_ls8c_ard_3-2-1_104068_2022-06-17_final
2022-06-18 11:23:53	ga_ls8c_ard_3-2-1_111068_2022-06-18_final
2022-06-19 10:28:16	ga_ls8c_ard_3-2-1_102068_2022-06-19_final
2022-06-22 10:59:11	ga_ls8c_ard_3-2-1_107068_2022-06-22_final
2022-06-23 10:03:34	ga_ls8c_ard_3-2-1_098068_2022-06-23_final
2022-06-24 10:46:50	ga_ls8c_ard_3-2-1_105068_2022-06-24_final
2022-06-26 10:34:29	ga_ls8c_ard_3-2-1_103068_2022-06-26_final
2022-06-30 10:09:46	ga_ls8c_ard_3-2-1_099068_2022-06-30_final
2022-07-01 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-07-01_final
2022-07-02 09:57:25	ga_ls8c_ard_3-2-1_097068_2022-07-02_final
2022-07-03 10:40:40	ga_ls8c_ard_3-2-1_104068_2022-07-03_final
2022-07-08 10:59:13	ga_ls8c_ard_3-2-1_107068_2022-07-08_final
2022-07-09 10:03:35	ga_ls8c_ard_3-2-1_098068_2022-07-09_final
2022-07-10 10:46:51	ga_ls8c_ard_3-2-1_105068_2022-07-10_final
2022-07-12 10:34:29	ga_ls8c_ard_3-2-1_103068_2022-07-12_final
2022-07-16 10:09:45	ga_ls8c_ard_3-2-1_099068_2022-07-16_final
2022-07-17 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-07-17_final
2022-07-18 09:57:25	ga_ls8c_ard_3-2-1_097068_2022-07-18_final
2022-07-24 10:59:18	ga_ls8c_ard_3-2-1_107068_2022-07-24_final
2022-07-25 10:03:42	ga_ls8c_ard_3-2-1_098068_2022-07-25_final
2023-01-18 10:46:53	ga_ls8c_ard_3-2-1_105068_2023-01-18_final
2023-01-20 10:34:33	ga_ls8c_ard_3-2-1_103068_2023-01-20_final
2023-05-16 10:08:48	ga_ls8c_ard_3-2-1_099068_2023-05-16_final
2023-05-17 10:52:03	ga_ls8c_ard_3-2-1_106068_2023-05-17_final
2023-05-18 09:56:25	ga_ls8c_ard_3-2-1_097068_2023-05-18_final
2023-05-19 10:39:42	ga_ls8c_ard_3-2-1_104068_2023-05-19_final
2023-05-20 11:22:58	ga_ls8c_ard_3-2-1_111068_2023-05-20_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