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
2022-01-12 11:57:37	ga_ls8c_ard_3-2-1_116075_2022-01-12_final
2022-01-15 09:15:56	ga_ls8c_ard_3-2-1_089088_2022-01-14_final
2022-01-29 10:59:06	ga_ls8c_ard_3-2-1_107068_2022-01-29_final
2022-01-29 10:59:30	ga_ls8c_ard_3-2-1_107069_2022-01-29_final
2022-01-31 09:15:51	ga_ls8c_ard_3-2-1_089088_2022-01-30_final
2022-03-04 09:15:43	ga_ls8c_ard_3-2-1_089088_2022-03-03_final
2022-03-12 11:42:24	ga_ls8c_ard_3-2-1_113084_2022-03-12_final
2022-03-28 11:42:12	ga_ls8c_ard_3-2-1_113084_2022-03-28_final
2022-04-05 09:15:28	ga_ls8c_ard_3-2-1_089088_2022-04-04_final
2022-04-21 09:15:32	ga_ls8c_ard_3-2-1_089088_2022-04-20_final
2022-05-21 10:59:19	ga_ls8c_ard_3-2-1_107069_2022-05-21_final
2022-05-31 11:42:25	ga_ls8c_ard_3-2-1_113084_2022-05-31_final
2022-06-06 10:59:26	ga_ls8c_ard_3-2-1_107069_2022-06-06_final
2022-06-08 09:15:48	ga_ls8c_ard_3-2-1_089088_2022-06-07_final
2022-06-21 11:57:36	ga_ls8c_ard_3-2-1_116075_2022-06-21_final
2022-06-24 09:15:56	ga_ls8c_ard_3-2-1_089088_2022-06-23_final
2022-07-07 11:57:38	ga_ls8c_ard_3-2-1_116075_2022-07-07_final
2022-07-18 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-07-18_final
2022-08-03 11:42:53	ga_ls8c_ard_3-2-1_113084_2022-08-03_final
2022-08-08 11:57:52	ga_ls8c_ard_3-2-1_116075_2022-08-08_final
2022-08-19 11:42:58	ga_ls8c_ard_3-2-1_113084_2022-08-19_final
2022-09-04 11:42:58	ga_ls8c_ard_3-2-1_113084_2022-09-04_final
2022-09-10 10:59:58	ga_ls8c_ard_3-2-1_107069_2022-09-10_final
2022-09-12 09:16:19	ga_ls8c_ard_3-2-1_089088_2022-09-11_final
2022-10-06 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-06_final
2022-10-22 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-22_final
2022-11-13 10:59:57	ga_ls8c_ard_3-2-1_107069_2022-11-13_final
2022-12-14 11:57:53	ga_ls8c_ard_3-2-1_116075_2022-12-14_final
2022-12-15 10:59:51	ga_ls8c_ard_3-2-1_107069_2022-12-15_final
2022-12-17 09:16:10	ga_ls8c_ard_3-2-1_089088_2022-12-16_final
2023-01-16 10:59:16	ga_ls8c_ard_3-2-1_107068_2023-01-16_final
2023-01-18 09:15:59	ga_ls8c_ard_3-2-1_089088_2023-01-17_final
2023-02-03 09:16:05	ga_ls8c_ard_3-2-1_089088_2023-02-02_final
2023-02-11 11:42:45	ga_ls8c_ard_3-2-1_113084_2023-02-11_final
2023-03-04 11:57:25	ga_ls8c_ard_3-2-1_116075_2023-03-04_final
2023-03-05 10:59:24	ga_ls8c_ard_3-2-1_107069_2023-03-05_final
2023-03-07 09:15:43	ga_ls8c_ard_3-2-1_089088_2023-03-06_final
2023-03-14 10:52:22	ga_ls8c_ard_3-2-1_106067_2023-03-14_final
2023-03-20 11:57:17	ga_ls8c_ard_3-2-1_116075_2023-03-20_final
2023-04-15 10:51:57	ga_ls8c_ard_3-2-1_106067_2023-04-15_final
2023-04-16 11:41:59	ga_ls8c_ard_3-2-1_113084_2023-04-16_final
2023-04-19 10:27:11	ga_ls8c_ard_3-2-1_102067_2023-04-19_final
2023-04-24 09:15:14	ga_ls8c_ard_3-2-1_089088_2023-04-23_final
2023-05-01 09:22:34	ga_ls8c_ard_3-2-1_090091_2023-04-30_final
2023-05-01 10:51:52	ga_ls8c_ard_3-2-1_106067_2023-05-01_final
2023-05-08 10:58:21	ga_ls8c_ard_3-2-1_107068_2023-05-08_final
2023-05-10 09:15:03	ga_ls8c_ard_3-2-1_089088_2023-05-09_final
2023-05-17 09:22:21	ga_ls8c_ard_3-2-1_090091_2023-05-16_final
2023-05-18 11:41:42	ga_ls8c_ard_3-2-1_113084_2023-05-18_final
2023-05-19 10:39:18	ga_ls8c_ard_3-2-1_104067_2023-05-19_final
2023-05-26 09:15:01	ga_ls8c_ard_3-2-1_089088_2023-05-25_final
2023-06-06 10:27:03	ga_ls8c_ard_3-2-1_102067_2023-06-06_final
2023-06-11 09:15:08	ga_ls8c_ard_3-2-1_089088_2023-06-10_final
2023-06-15 10:21:45	ga_ls8c_ard_3-2-1_101069_2023-06-15_final
2023-06-18 09:22:33	ga_ls8c_ard_3-2-1_090091_2023-06-17_final
2023-06-22 10:27:08	ga_ls8c_ard_3-2-1_102067_2023-06-22_final
2023-06-27 09:15:15	ga_ls8c_ard_3-2-1_089088_2023-06-26_final
2023-07-01 10:21:54	ga_ls8c_ard_3-2-1_101069_2023-07-01_final
2023-07-08 10:27:21	ga_ls8c_ard_3-2-1_102067_2023-07-08_final
2023-07-11 10:59:04	ga_ls8c_ard_3-2-1_107069_2023-07-11_final
2023-07-13 09:15:25	ga_ls8c_ard_3-2-1_089088_2023-07-12_final
2023-07-24 10:27:25	ga_ls8c_ard_3-2-1_102067_2023-07-24_final
2023-08-02 10:22:08	ga_ls8c_ard_3-2-1_101069_2023-08-02_final
2023-08-18 10:22:14	ga_ls8c_ard_3-2-1_101069_2023-08-18_final
2023-08-27 11:57:23	ga_ls8c_ard_3-2-1_116075_2023-08-27_final
2023-09-06 10:52:21	ga_ls8c_ard_3-2-1_106067_2023-09-06_final
2023-09-22 10:52:27	ga_ls8c_ard_3-2-1_106067_2023-09-22_final
2023-10-01 09:15:50	ga_ls8c_ard_3-2-1_089088_2023-09-30_final
2023-10-08 10:52:32	ga_ls8c_ard_3-2-1_106067_2023-10-08_final
2023-10-15 10:59:08	ga_ls8c_ard_3-2-1_107068_2023-10-15_final
2023-10-24 10:52:35	ga_ls8c_ard_3-2-1_106067_2023-10-24_final
2023-10-31 10:59:11	ga_ls8c_ard_3-2-1_107068_2023-10-31_final
2023-11-06 10:22:28	ga_ls8c_ard_3-2-1_101069_2023-11-06_final
2023-11-16 10:59:10	ga_ls8c_ard_3-2-1_107068_2023-11-16_final
2023-11-22 10:22:32	ga_ls8c_ard_3-2-1_101069_2023-11-22_final
2023-12-04 09:15:51	ga_ls8c_ard_3-2-1_089088_2023-12-03_final
2023-12-11 10:52:32	ga_ls8c_ard_3-2-1_106067_2023-12-11_final
2023-12-27 10:52:35	ga_ls8c_ard_3-2-1_106067_2023-12-27_final
2024-01-14 10:40:10	ga_ls8c_ard_3-2-1_104067_2024-01-14_final
2024-01-16 10:27:48	ga_ls8c_ard_3-2-1_102067_2024-01-16_final
2024-01-19 10:59:05	ga_ls8c_ard_3-2-1_107068_2024-01-19_final
2024-01-25 10:22:19	ga_ls8c_ard_3-2-1_101069_2024-01-25_final
2024-01-30 10:40:04	ga_ls8c_ard_3-2-1_104067_2024-01-30_final
2024-02-01 10:27:44	ga_ls8c_ard_3-2-1_102067_2024-02-01_final
2024-02-04 10:59:04	ga_ls8c_ard_3-2-1_107068_2024-02-04_final
2024-02-10 10:22:23	ga_ls8c_ard_3-2-1_101069_2024-02-10_final
2024-02-13 09:23:10	ga_ls8c_ard_3-2-1_090091_2024-02-12_final
2024-02-15 10:40:06	ga_ls8c_ard_3-2-1_104067_2024-02-15_final
2024-02-29 09:23:04	ga_ls8c_ard_3-2-1_090091_2024-02-28_final
2024-03-04 10:27:36	ga_ls8c_ard_3-2-1_102067_2024-03-04_final
2024-03-06 11:57:16	ga_ls8c_ard_3-2-1_116075_2024-03-06_final
2024-03-07 10:58:50	ga_ls8c_ard_3-2-1_107068_2024-03-07_final
2024-03-07 10:59:14	ga_ls8c_ard_3-2-1_107069_2024-03-07_final
2024-03-09 09:15:34	ga_ls8c_ard_3-2-1_089088_2024-03-08_final
2024-04-02 10:00:46	ga_ls8c_ard_3-2-1_097078_2024-04-02_final
2024-04-02 10:01:58	ga_ls8c_ard_3-2-1_097081_2024-04-02_final
2024-04-03 10:41:14	ga_ls8c_ard_3-2-1_104071_2024-04-03_final
2024-04-04 09:46:49	ga_ls8c_ard_3-2-1_095074_2024-04-04_final
2024-04-04 09:52:00	ga_ls8c_ard_3-2-1_095087_2024-04-04_final
2024-04-04 11:23:18	ga_ls8c_ard_3-2-1_111068_2024-04-04_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