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
2015-05-30 09:49:52	ga_ls8c_ard_3-0-0_095083_2015-05-30_final
2017-10-22 10:09:02	ga_ls8c_ard_3-2-1_099066_2017-10-22_final
2020-04-25 09:51:55	ga_ls8c_ard_3-1-0_095087_2020-04-25_final
2020-10-30 10:09:03	ga_ls8c_ard_3-2-1_099066_2020-10-30_final
2021-03-13 09:33:31	ga_ls8c_ard_3-2-0_093071_2021-03-13_final
2021-03-13 11:13:36	ga_ls8c_ard_3-2-0_109074_2021-03-13_final
2021-03-27 11:23:29	ga_ls8c_ard_3-2-0_111068_2021-03-27_final
2021-04-06 10:25:14	ga_ls8c_ard_3-2-0_101077_2021-04-06_final
2021-04-21 11:19:33	ga_ls8c_ard_3-2-0_110074_2021-04-21_final
2021-04-23 11:07:34	ga_ls8c_ard_3-2-0_108075_2021-04-23_final
2021-05-01 10:18:27	ga_ls8c_ard_3-2-0_100076_2021-05-01_final
2021-05-07 09:39:43	ga_ls8c_ard_3-2-0_094072_2021-05-07_final
2021-05-18 09:21:42	ga_ls8c_ard_3-2-0_091073_2021-05-17_final
2021-06-11 11:51:01	ga_ls8c_ard_3-2-0_115075_2021-06-11_final
2021-06-17 09:38:41	ga_ls8c_ard_3-2-0_093084_2021-06-17_final
2021-06-27 11:51:29	ga_ls8c_ard_3-2-0_115076_2021-06-27_final
2021-07-01 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-07-01_final
2021-07-19 11:17:39	ga_ls8c_ard_3-2-0_109084_2021-07-19_final
2021-08-08 10:49:06	ga_ls8c_ard_3-2-0_105074_2021-08-08_final
2021-08-09 11:32:23	ga_ls8c_ard_3-2-0_112074_2021-08-09_final
2021-08-11 09:39:57	ga_ls8c_ard_3-2-0_094071_2021-08-11_final
2021-08-18 09:45:46	ga_ls8c_ard_3-2-0_095070_2021-08-18_final
2021-09-19 09:45:54	ga_ls8c_ard_3-2-0_095070_2021-09-19_final
2021-09-28 11:18:39	ga_ls8c_ard_3-2-0_110070_2021-09-28_final
2021-10-30 09:40:39	ga_ls8c_ard_3-2-0_094072_2021-10-30_final
2021-11-03 10:56:00	ga_ls8c_ard_3-2-0_106075_2021-11-03_final
2021-12-01 09:40:11	ga_ls8c_ard_3-2-0_094071_2021-12-01_final
2021-12-03 09:29:49	ga_ls8c_ard_3-2-0_092076_2021-12-02_final
2021-12-08 09:52:21	ga_ls8c_ard_3-2-1_095086_2021-12-08_final
2021-12-22 09:58:17	ga_ls8c_ard_3-2-1_097070_2021-12-22_final
2021-12-28 11:00:02	ga_ls8c_ard_3-2-1_107070_2021-12-28_final
2022-01-09 11:23:56	ga_ls8c_ard_3-2-1_111068_2022-01-09_final
2022-01-13 09:28:18	ga_ls8c_ard_3-2-1_091088_2022-01-12_final
2022-01-27 11:14:16	ga_ls8c_ard_3-2-1_109075_2022-01-27_final
2022-02-03 09:40:45	ga_ls8c_ard_3-2-1_094073_2022-02-03_final
2022-02-21 09:34:41	ga_ls8c_ard_3-2-1_092089_2022-02-21_final
2022-03-04 10:46:37	ga_ls8c_ard_3-2-1_105068_2022-03-04_final
2022-03-04 10:49:01	ga_ls8c_ard_3-2-1_105074_2022-03-04_final
2022-03-17 10:17:13	ga_ls8c_ard_3-2-1_100072_2022-03-17_final
2022-03-17 10:19:13	ga_ls8c_ard_3-2-1_100077_2022-03-17_final
2022-04-20 10:09:33	ga_ls8c_ard_3-2-1_098084_2022-04-20_final
2022-04-21 09:11:08	ga_ls8c_ard_3-2-1_089077_2022-04-20_final
2022-04-21 09:15:56	ga_ls8c_ard_3-2-1_089089_2022-04-20_final
2022-04-27 10:13:17	ga_ls8c_ard_3-2-1_099078_2022-04-27_final
2022-05-07 10:49:16	ga_ls8c_ard_3-2-1_105075_2022-05-07_final
2022-05-12 11:07:27	ga_ls8c_ard_3-2-1_108074_2022-05-12_final
2022-06-13 11:06:06	ga_ls8c_ard_3-2-1_108070_2022-06-13_final
2022-06-30 10:08:58	ga_ls8c_ard_3-2-1_099066_2022-06-30_final
2022-07-04 11:25:56	ga_ls8c_ard_3-2-1_111073_2022-07-04_final
2022-07-07 10:19:33	ga_ls8c_ard_3-2-1_100077_2022-07-07_final
2022-07-12 10:40:04	ga_ls8c_ard_3-2-1_103082_2022-07-12_final
2022-07-14 10:28:06	ga_ls8c_ard_3-2-1_101083_2022-07-14_final
2022-07-24 11:02:06	ga_ls8c_ard_3-2-1_107075_2022-07-24_final
2022-09-25 10:22:21	ga_ls8c_ard_3-2-1_100083_2022-09-25_final
2022-10-03 11:08:34	ga_ls8c_ard_3-2-1_108075_2022-10-03_final
2022-10-15 09:58:41	ga_ls8c_ard_3-2-1_096086_2022-10-15_final
2022-10-21 10:56:10	ga_ls8c_ard_3-2-1_106075_2022-10-21_final
2022-11-06 10:53:26	ga_ls8c_ard_3-2-1_106068_2022-11-06_final
2022-11-20 11:08:28	ga_ls8c_ard_3-2-1_108075_2022-11-20_final
2022-12-01 10:50:22	ga_ls8c_ard_3-2-1_105076_2022-12-01_final
2022-12-12 10:33:46	ga_ls8c_ard_3-2-1_102081_2022-12-12_final
2022-12-17 10:49:52	ga_ls8c_ard_3-2-1_105075_2022-12-17_final
2023-01-12 09:52:21	ga_ls8c_ard_3-2-1_095086_2023-01-12_final
2023-01-12 11:25:15	ga_ls8c_ard_3-2-1_111071_2023-01-12_final
2023-01-12 11:25:39	ga_ls8c_ard_3-2-1_111072_2023-01-12_final
2023-01-21 09:40:33	ga_ls8c_ard_3-2-1_094072_2023-01-21_final
2023-03-07 10:46:37	ga_ls8c_ard_3-2-1_105068_2023-03-07_final
2023-03-30 10:58:34	ga_ls8c_ard_3-2-1_106083_2023-03-30_final
2023-04-04 11:14:39	ga_ls8c_ard_3-2-1_109077_2023-04-04_final
2023-04-06 09:21:22	ga_ls8c_ard_3-2-1_091072_2023-04-05_final
2023-04-13 09:33:24	ga_ls8c_ard_3-2-1_092087_2023-04-13_final
2023-04-28 10:27:22	ga_ls8c_ard_3-2-1_101083_2023-04-28_final
2023-04-30 11:51:53	ga_ls8c_ard_3-2-1_115078_2023-04-30_final
2023-06-22 10:33:07	ga_ls8c_ard_3-2-1_102082_2023-06-22_final
2023-06-26 10:02:53	ga_ls8c_ard_3-2-1_098068_2023-06-26_final
2023-07-03 11:52:02	ga_ls8c_ard_3-2-1_115078_2023-07-03_final
2023-07-20 10:52:29	ga_ls8c_ard_3-2-1_106068_2023-07-20_final
2023-07-25 09:34:12	ga_ls8c_ard_3-2-1_093073_2023-07-25_final
2023-08-10 11:11:35	ga_ls8c_ard_3-2-1_109069_2023-08-10_final
2023-08-11 10:21:57	ga_ls8c_ard_3-2-1_100084_2023-08-11_final
2023-08-28 09:26:28	ga_ls8c_ard_3-2-1_091084_2023-08-27_final
2023-09-21 11:51:16	ga_ls8c_ard_3-2-1_115075_2023-09-21_final
2023-10-09 09:57:19	ga_ls8c_ard_3-2-1_097068_2023-10-09_final
2023-10-11 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-10-11_final
2023-10-16 10:09:30	ga_ls8c_ard_3-2-1_098083_2023-10-16_final
2023-10-20 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-20_final
2023-10-23 10:13:42	ga_ls8c_ard_3-2-1_099078_2023-10-23_final
2023-10-26 10:46:13	ga_ls8c_ard_3-2-1_104082_2023-10-26_final
2023-10-31 09:21:54	ga_ls8c_ard_3-2-1_091072_2023-10-30_final
2023-11-12 11:25:50	ga_ls8c_ard_3-2-1_111073_2023-11-12_final
2023-11-28 11:25:31	ga_ls8c_ard_3-2-1_111072_2023-11-28_final
2023-12-04 09:11:28	ga_ls8c_ard_3-2-1_089077_2023-12-03_final
2023-12-20 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-12-20_final
2023-12-23 11:24:07	ga_ls8c_ard_3-2-1_110084_2023-12-23_final
2024-01-02 10:19:25	ga_ls8c_ard_3-2-1_100077_2024-01-02_final
2024-01-10 09:31:34	ga_ls8c_ard_3-2-1_092081_2024-01-10_final
2024-02-12 10:08:50	ga_ls8c_ard_3-2-1_099066_2024-02-12_final
2024-02-18 09:33:43	ga_ls8c_ard_3-2-1_093071_2024-02-18_final
2024-02-27 11:11:09	ga_ls8c_ard_3-2-1_108083_2024-02-27_final
2024-02-29 10:53:35	ga_ls8c_ard_3-2-1_106070_2024-02-29_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