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
2014-08-08 11:22:44	ga_ls8c_ard_3-0-0_110081_2014-08-08_final
2015-08-21 11:58:20	ga_ls8c_ard_3-0-0_116078_2015-08-21_final
2015-09-03 11:25:30	ga_ls8c_ard_3-0-0_111073_2015-09-03_final
2016-04-05 11:31:30	ga_ls8c_ard_3-0-0_112073_2016-04-05_final
2016-04-14 11:24:05	ga_ls8c_ard_3-0-0_111070_2016-04-14_final
2016-05-16 11:24:03	ga_ls8c_ard_3-0-0_111070_2016-05-16_final
2016-06-13 11:52:30	ga_ls8c_ard_3-0-0_115079_2016-06-13_final
2016-07-03 11:25:33	ga_ls8c_ard_3-0-0_111073_2016-07-03_final
2016-10-23 11:24:26	ga_ls8c_ard_3-0-0_111069_2016-10-23_final
2016-12-26 11:26:43	ga_ls8c_ard_3-0-0_111075_2016-12-26_final
2017-11-18 11:32:06	ga_ls8c_ard_3-0-0_112073_2017-11-18_final
2017-12-02 11:45:10	ga_ls8c_ard_3-0-0_114075_2017-12-02_final
2018-06-30 11:29:43	ga_ls8c_ard_3-0-0_112070_2018-06-30_final
2018-07-07 11:34:46	ga_ls8c_ard_3-0-0_113067_2018-07-07_final
2018-12-09 11:20:59	ga_ls8c_ard_3-0-0_110077_2018-12-09_final
2019-01-01 11:24:22	ga_ls8c_ard_3-0-0_111070_2019-01-01_final
2019-01-08 11:30:32	ga_ls8c_ard_3-0-0_112070_2019-01-08_final
2019-03-06 11:24:09	ga_ls8c_ard_3-0-0_111070_2019-03-06_final
2019-06-10 11:23:53	ga_ls8c_ard_3-0-0_111069_2019-06-10_final
2019-09-17 11:58:52	ga_ls8c_ard_3-1-0_116078_2019-09-17_final
2019-12-10 11:32:10	ga_ls8c_ard_3-1-0_112073_2019-12-10_final
2020-04-09 11:24:56	ga_ls8c_ard_3-1-0_111072_2020-04-09_final
2020-04-25 11:24:01	ga_ls8c_ard_3-1-0_111070_2020-04-25_final
2020-10-09 11:32:12	ga_ls8c_ard_3-1-0_112073_2020-10-09_final
2020-12-01 11:52:45	ga_ls8c_ard_3-1-0_115078_2020-12-01_final
2020-12-16 09:29:24	ga_ls8c_ard_3-1-0_092075_2020-12-15_final
2021-01-08 09:34:17	ga_ls8c_ard_3-2-0_093072_2021-01-08_final
2021-01-20 09:58:30	ga_ls8c_ard_3-2-0_097071_2021-01-20_final
2021-02-16 11:19:11	ga_ls8c_ard_3-2-0_110072_2021-02-16_final
2021-02-26 10:16:55	ga_ls8c_ard_3-2-0_100071_2021-02-26_final
2021-03-01 10:46:36	ga_ls8c_ard_3-2-0_105068_2021-03-01_final
2021-03-06 11:11:29	ga_ls8c_ard_3-2-0_108084_2021-03-06_final
2021-03-07 10:11:03	ga_ls8c_ard_3-2-0_099072_2021-03-07_final
2021-03-08 09:21:01	ga_ls8c_ard_3-2-0_090086_2021-03-07_final
2021-04-15 10:16:36	ga_ls8c_ard_3-2-0_100071_2021-04-15_final
2021-04-18 09:10:59	ga_ls8c_ard_3-2-0_089077_2021-04-17_final
2021-05-01 11:56:56	ga_ls8c_ard_3-2-0_116075_2021-05-01_final
2021-05-01 11:57:20	ga_ls8c_ard_3-2-0_116076_2021-05-01_final
2021-05-19 11:47:03	ga_ls8c_ard_3-2-0_114081_2021-05-19_final
2021-06-12 09:22:06	ga_ls8c_ard_3-2-0_090089_2021-06-11_final
2021-06-12 10:55:24	ga_ls8c_ard_3-2-0_106075_2021-06-12_final
2021-06-25 10:25:21	ga_ls8c_ard_3-2-0_101077_2021-06-25_final
2021-06-29 11:42:20	ga_ls8c_ard_3-2-0_113084_2021-06-29_final
2021-07-08 09:50:30	ga_ls8c_ard_3-2-0_096067_2021-07-08_final
2021-08-18 09:46:10	ga_ls8c_ard_3-2-0_095071_2021-08-18_final
2021-08-27 09:38:26	ga_ls8c_ard_3-2-0_094067_2021-08-27_final
2021-09-10 11:32:08	ga_ls8c_ard_3-2-0_112073_2021-09-10_final
2021-09-20 10:33:33	ga_ls8c_ard_3-2-0_102081_2021-09-20_final
2021-11-11 10:07:19	ga_ls8c_ard_3-2-0_098077_2021-11-11_final
2021-11-26 09:22:26	ga_ls8c_ard_3-2-0_091073_2021-11-25_final
2022-01-22 09:16:53	ga_ls8c_ard_3-2-1_090075_2022-01-21_final
2022-01-24 09:06:54	ga_ls8c_ard_3-2-1_088081_2022-01-23_final
2022-01-29 09:26:13	ga_ls8c_ard_3-2-1_091083_2022-01-28_final
2022-03-14 11:24:02	ga_ls8c_ard_3-2-1_111069_2022-03-14_final
2022-03-20 10:48:53	ga_ls8c_ard_3-2-1_105074_2022-03-20_final
2022-03-25 09:28:28	ga_ls8c_ard_3-2-1_092074_2022-03-24_final
2022-04-05 09:15:52	ga_ls8c_ard_3-2-1_089089_2022-04-04_final
2022-04-06 11:31:14	ga_ls8c_ard_3-2-1_112072_2022-04-06_final
2022-04-21 09:15:56	ga_ls8c_ard_3-2-1_089089_2022-04-20_final
2022-05-06 10:03:36	ga_ls8c_ard_3-2-1_098069_2022-05-06_final
2022-05-08 09:58:02	ga_ls8c_ard_3-2-1_096086_2022-05-08_final
2022-05-13 11:51:55	ga_ls8c_ard_3-2-1_115077_2022-05-13_final
2022-05-20 11:58:08	ga_ls8c_ard_3-2-1_116077_2022-05-20_final
2022-05-29 10:09:52	ga_ls8c_ard_3-2-1_099069_2022-05-29_final
2022-06-05 10:21:45	ga_ls8c_ard_3-2-1_100083_2022-06-05_final
2022-07-09 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-07-09_final
2022-07-15 09:33:40	ga_ls8c_ard_3-2-1_092086_2022-07-15_final
2022-07-29 09:40:37	ga_ls8c_ard_3-2-1_094072_2022-07-29_final
2022-08-01 10:11:33	ga_ls8c_ard_3-2-1_099072_2022-08-01_final
2022-09-09 10:20:17	ga_ls8c_ard_3-2-1_100078_2022-09-09_final
2022-11-04 09:29:18	ga_ls8c_ard_3-2-1_092074_2022-11-03_final
2022-11-06 09:17:44	ga_ls8c_ard_3-2-1_090076_2022-11-05_final
2022-11-06 09:23:43	ga_ls8c_ard_3-2-1_090091_2022-11-05_final
2022-12-29 09:34:51	ga_ls8c_ard_3-2-1_093073_2022-12-29_final
2023-01-17 10:03:14	ga_ls8c_ard_3-2-1_098067_2023-01-17_final
2023-01-25 09:17:04	ga_ls8c_ard_3-2-1_090075_2023-01-24_final
2023-02-17 09:22:19	ga_ls8c_ard_3-2-1_091073_2023-02-16_final
2023-03-07 09:10:31	ga_ls8c_ard_3-2-1_089075_2023-03-06_final
2023-03-08 09:53:22	ga_ls8c_ard_3-2-1_096074_2023-03-08_final
2023-03-25 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-03-25_final
2023-04-06 09:22:10	ga_ls8c_ard_3-2-1_091074_2023-04-05_final
2023-05-10 09:10:39	ga_ls8c_ard_3-2-1_089077_2023-05-09_final
2023-05-22 09:33:44	ga_ls8c_ard_3-2-1_093073_2023-05-22_final
2023-07-02 09:33:04	ga_ls8c_ard_3-2-1_092086_2023-07-02_final
2023-08-02 10:25:20	ga_ls8c_ard_3-2-1_101077_2023-08-02_final
2023-09-05 10:15:53	ga_ls8c_ard_3-2-1_099084_2023-09-05_final
2023-09-15 09:10:11	ga_ls8c_ard_3-2-1_089074_2023-09-14_final
2023-09-18 11:17:59	ga_ls8c_ard_3-2-1_110069_2023-09-18_final
2023-09-20 09:28:44	ga_ls8c_ard_3-2-1_092074_2023-09-19_final
2023-10-01 09:16:14	ga_ls8c_ard_3-2-1_089089_2023-09-30_final
2023-10-14 10:19:52	ga_ls8c_ard_3-2-1_100078_2023-10-14_final
2023-10-17 09:12:16	ga_ls8c_ard_3-2-1_089079_2023-10-16_final
2023-11-22 10:25:44	ga_ls8c_ard_3-2-1_101077_2023-11-22_final
2023-12-01 10:19:54	ga_ls8c_ard_3-2-1_100078_2023-12-01_final
2024-01-05 09:11:47	ga_ls8c_ard_3-2-1_089078_2024-01-04_final
2024-01-06 11:31:57	ga_ls8c_ard_3-2-1_112073_2024-01-06_final
2024-01-10 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-01-10_final
2024-01-12 10:53:43	ga_ls8c_ard_3-2-1_106070_2024-01-12_final
2024-02-02 11:11:48	ga_ls8c_ard_3-2-1_109069_2024-02-02_final
2024-02-09 11:18:01	ga_ls8c_ard_3-2-1_110069_2024-02-09_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