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
2018-04-23 11:57:49	ga_ls8c_ard_3-0-0_116078_2018-04-23_final
2018-05-09 11:57:40	ga_ls8c_ard_3-0-0_116078_2018-05-09_final
2019-12-14 09:26:10	ga_ls8c_ard_3-2-0_092067_2019-12-13_final
2020-04-28 11:58:05	ga_ls8c_ard_3-1-0_116078_2020-04-28_final
2020-08-19 09:28:55	ga_ls8c_ard_3-1-0_091090_2020-08-18_final
2020-08-27 10:08:51	ga_ls8c_ard_3-2-1_099066_2020-08-27_final
2020-09-03 08:42:35	ga_ls8c_ard_3-2-1_084082_2020-09-02_final
2020-11-22 10:17:37	ga_ls8c_ard_3-1-0_100072_2020-11-22_final
2020-11-30 09:29:24	ga_ls8c_ard_3-1-0_092075_2020-11-29_final
2020-12-08 10:18:51	ga_ls8c_ard_3-1-0_100075_2020-12-08_final
2020-12-16 09:26:37	ga_ls8c_ard_3-1-0_092068_2020-12-15_final
2021-01-11 11:47:14	ga_ls8c_ard_3-2-0_114080_2021-01-11_final
2021-01-23 10:29:01	ga_ls8c_ard_3-2-0_102070_2021-01-23_final
2021-01-25 10:17:51	ga_ls8c_ard_3-2-0_100073_2021-01-25_final
2021-02-05 10:04:04	ga_ls8c_ard_3-2-0_097085_2021-02-05_final
2021-02-10 10:17:48	ga_ls8c_ard_3-2-0_100073_2021-02-10_final
2021-02-11 09:22:11	ga_ls8c_ard_3-2-0_091073_2021-02-10_final
2021-02-13 09:11:48	ga_ls8c_ard_3-2-0_089078_2021-02-12_final
2021-02-18 11:11:36	ga_ls8c_ard_3-2-0_108084_2021-02-18_final
2021-03-13 09:39:06	ga_ls8c_ard_3-2-0_093085_2021-03-13_final
2021-03-16 11:46:52	ga_ls8c_ard_3-2-0_114080_2021-03-16_final
2021-03-25 10:03:21	ga_ls8c_ard_3-2-0_097084_2021-03-25_final
2021-03-30 11:58:22	ga_ls8c_ard_3-2-0_116078_2021-03-30_final
2021-04-07 11:07:41	ga_ls8c_ard_3-2-0_108075_2021-04-07_final
2021-04-15 08:42:06	ga_ls8c_ard_3-2-1_084082_2021-04-14_final
2021-04-15 11:58:16	ga_ls8c_ard_3-2-0_116078_2021-04-15_final
2021-06-04 10:07:06	ga_ls8c_ard_3-2-0_098078_2021-06-04_final
2021-06-11 10:08:57	ga_ls8c_ard_3-2-0_099067_2021-06-11_final
2021-06-21 09:16:22	ga_ls8c_ard_3-2-0_089090_2021-06-20_final
2021-07-06 11:41:44	ga_ls8c_ard_3-2-0_114067_2021-07-06_final
2021-07-08 09:52:05	ga_ls8c_ard_3-2-0_096071_2021-07-08_final
2021-08-04 11:14:36	ga_ls8c_ard_3-2-0_109076_2021-08-04_final
2021-09-15 11:53:05	ga_ls8c_ard_3-2-0_115079_2021-09-15_final
2021-09-25 09:16:49	ga_ls8c_ard_3-2-0_089090_2021-09-24_final
2021-09-30 11:08:18	ga_ls8c_ard_3-2-0_108075_2021-09-30_final
2021-10-01 11:51:34	ga_ls8c_ard_3-2-0_115075_2021-10-01_final
2021-10-18 09:22:43	ga_ls8c_ard_3-2-0_090089_2021-10-17_final
2021-10-27 10:47:26	ga_ls8c_ard_3-2-0_105069_2021-10-27_final
2021-11-01 09:32:41	ga_ls8c_ard_3-2-0_092083_2021-11-01_final
2021-11-28 10:48:58	ga_ls8c_ard_3-2-0_105073_2021-11-28_final
2021-11-29 09:52:09	ga_ls8c_ard_3-2-0_096070_2021-11-29_final
2021-12-05 09:19:03	ga_ls8c_ard_3-2-0_090080_2021-12-04_final
2021-12-17 11:18:39	ga_ls8c_ard_3-2-1_110070_2021-12-17_final
2021-12-29 10:10:24	ga_ls8c_ard_3-2-1_098085_2021-12-29_final
2021-12-30 09:12:22	ga_ls8c_ard_3-2-1_089079_2021-12-29_final
2022-01-04 09:32:06	ga_ls8c_ard_3-2-1_092082_2022-01-04_final
2022-01-08 10:45:27	ga_ls8c_ard_3-2-1_104080_2022-01-08_final
2022-01-11 09:39:28	ga_ls8c_ard_3-2-1_093085_2022-01-11_final
2022-01-21 10:10:07	ga_ls8c_ard_3-2-1_099069_2022-01-21_final
2022-02-19 09:39:52	ga_ls8c_ard_3-2-1_094071_2022-02-19_final
2022-03-31 10:28:12	ga_ls8c_ard_3-2-1_102069_2022-03-31_final
2022-05-06 10:09:35	ga_ls8c_ard_3-2-1_098084_2022-05-06_final
2022-05-19 11:14:04	ga_ls8c_ard_3-2-1_109075_2022-05-19_final
2022-06-07 10:10:13	ga_ls8c_ard_3-2-1_098085_2022-06-07_final
2022-07-15 09:33:16	ga_ls8c_ard_3-2-1_092085_2022-07-15_final
2022-07-22 09:34:21	ga_ls8c_ard_3-2-1_093072_2022-07-22_final
2022-08-11 10:50:42	ga_ls8c_ard_3-2-1_105077_2022-08-11_final
2022-09-05 10:45:46	ga_ls8c_ard_3-2-1_104080_2022-09-05_final
2022-09-25 10:17:33	ga_ls8c_ard_3-2-1_100071_2022-09-25_final
2022-09-28 09:16:21	ga_ls8c_ard_3-2-1_089088_2022-09-27_final
2022-10-05 10:59:23	ga_ls8c_ard_3-2-1_106083_2022-10-05_final
2022-10-08 09:48:59	ga_ls8c_ard_3-2-1_095077_2022-10-08_final
2022-10-09 10:33:49	ga_ls8c_ard_3-2-1_102081_2022-10-09_final
2022-10-12 09:26:35	ga_ls8c_ard_3-2-1_091083_2022-10-11_final
2022-10-16 10:39:58	ga_ls8c_ard_3-2-1_103081_2022-10-16_final
2022-11-06 10:58:13	ga_ls8c_ard_3-2-1_106080_2022-11-06_final
2022-11-19 10:26:24	ga_ls8c_ard_3-2-1_101078_2022-11-19_final
2022-11-25 11:26:38	ga_ls8c_ard_3-2-1_111074_2022-11-25_final
2022-12-28 10:31:16	ga_ls8c_ard_3-2-1_102075_2022-12-28_final
2023-01-07 09:33:27	ga_ls8c_ard_3-2-1_092085_2023-01-07_final
2023-02-09 10:16:39	ga_ls8c_ard_3-2-1_099085_2023-02-09_final
2023-02-15 11:13:59	ga_ls8c_ard_3-2-1_109074_2023-02-15_final
2023-03-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2023-03-17_final
2023-03-25 10:39:16	ga_ls8c_ard_3-2-1_103081_2023-03-25_final
2023-03-28 11:06:10	ga_ls8c_ard_3-2-1_108071_2023-03-28_final
2023-03-31 11:40:14	ga_ls8c_ard_3-2-1_113079_2023-03-31_final
2023-04-06 11:01:03	ga_ls8c_ard_3-2-1_107074_2023-04-06_final
2023-04-15 09:21:26	ga_ls8c_ard_3-2-1_090088_2023-04-14_final
2023-05-13 11:23:35	ga_ls8c_ard_3-2-1_110085_2023-05-13_final
2023-05-15 11:09:13	ga_ls8c_ard_3-2-1_108080_2023-05-15_final
2023-05-21 10:28:33	ga_ls8c_ard_3-2-1_102071_2023-05-21_final
2023-06-02 10:52:54	ga_ls8c_ard_3-2-1_106070_2023-06-02_final
2023-06-15 10:22:33	ga_ls8c_ard_3-2-1_101071_2023-06-15_final
2023-06-23 09:39:06	ga_ls8c_ard_3-2-1_093086_2023-06-23_final
2023-07-02 09:33:52	ga_ls8c_ard_3-2-1_092088_2023-07-02_final
2023-07-10 11:57:05	ga_ls8c_ard_3-2-1_116075_2023-07-10_final
2023-07-10 11:57:29	ga_ls8c_ard_3-2-1_116076_2023-07-10_final
2023-09-16 11:32:20	ga_ls8c_ard_3-2-1_112074_2023-09-16_final
2023-09-27 09:35:21	ga_ls8c_ard_3-2-1_093075_2023-09-27_final
2023-09-27 11:14:14	ga_ls8c_ard_3-2-1_109075_2023-09-27_final
2023-10-24 10:58:34	ga_ls8c_ard_3-2-1_106082_2023-10-24_final
2023-10-28 10:28:17	ga_ls8c_ard_3-2-1_102068_2023-10-28_final
2023-11-01 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-01_final
2023-11-02 10:49:37	ga_ls8c_ard_3-2-1_105075_2023-11-02_final
2023-11-04 10:34:27	ga_ls8c_ard_3-2-1_103068_2023-11-04_final
2023-11-12 11:25:50	ga_ls8c_ard_3-2-1_111073_2023-11-12_final
2023-12-03 10:10:18	ga_ls8c_ard_3-2-1_098085_2023-12-03_final
2024-01-11 10:16:26	ga_ls8c_ard_3-2-1_099085_2024-01-11_final
2024-01-20 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-01-20_final
2024-01-22 11:36:20	ga_ls8c_ard_3-2-1_112084_2024-01-22_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