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
2014-05-04 09:39:54	ga_ls8c_ard_3-0-0_094072_2014-05-04_final
2014-05-20 09:39:44	ga_ls8c_ard_3-0-0_094072_2014-05-20_final
2015-06-08 09:37:27	ga_ls8c_ard_3-0-0_094067_2015-06-08_final
2016-06-17 09:50:54	ga_ls8c_ard_3-0-0_095084_2016-06-17_final
2016-08-13 09:40:16	ga_ls8c_ard_3-0-0_094072_2016-08-13_final
2016-09-30 09:40:27	ga_ls8c_ard_3-0-0_094072_2016-09-30_final
2016-11-24 09:51:08	ga_ls8c_ard_3-0-0_095083_2016-11-24_final
2017-06-29 09:40:00	ga_ls8c_ard_3-0-0_094072_2017-06-29_final
2017-12-13 09:44:34	ga_ls8c_ard_3-0-0_095067_2017-12-13_final
2018-02-08 09:40:04	ga_ls8c_ard_3-0-0_094072_2018-02-08_final
2018-08-03 09:45:08	ga_ls8c_ard_3-0-0_094086_2018-08-03_final
2018-11-23 09:40:57	ga_ls8c_ard_3-0-0_094074_2018-11-23_final
2018-12-16 09:51:52	ga_ls8c_ard_3-0-0_095086_2018-12-16_final
2019-05-02 09:39:15	ga_ls8c_ard_3-0-0_094071_2019-05-02_final
2019-12-15 10:09:02	ga_ls8c_ard_3-2-1_099066_2019-12-15_final
2020-03-24 09:46:11	ga_ls8c_ard_3-1-0_095072_2020-03-24_final
2020-04-25 09:51:31	ga_ls8c_ard_3-1-0_095086_2020-04-25_final
2020-10-02 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-10-02_final
2021-03-16 10:07:11	ga_ls8c_ard_3-2-0_098078_2021-03-16_final
2021-03-23 10:13:44	ga_ls8c_ard_3-2-0_099079_2021-03-23_final
2021-04-01 10:07:07	ga_ls8c_ard_3-2-0_098078_2021-04-01_final
2021-04-06 10:27:13	ga_ls8c_ard_3-2-0_101082_2021-04-06_final
2021-04-12 11:23:00	ga_ls8c_ard_3-2-0_111067_2021-04-12_final
2021-04-14 11:13:49	ga_ls8c_ard_3-2-0_109075_2021-04-14_final
2021-04-16 09:28:33	ga_ls8c_ard_3-2-0_091090_2021-04-15_final
2021-05-04 10:48:55	ga_ls8c_ard_3-2-0_105075_2021-05-04_final
2021-05-19 10:09:22	ga_ls8c_ard_3-2-0_098084_2021-05-19_final
2021-05-25 09:28:21	ga_ls8c_ard_3-2-0_092074_2021-05-24_final
2021-05-26 10:15:36	ga_ls8c_ard_3-2-0_099084_2021-05-26_final
2021-06-22 09:57:38	ga_ls8c_ard_3-2-0_096085_2021-06-22_final
2021-07-02 10:27:58	ga_ls8c_ard_3-2-0_102068_2021-07-02_final
2021-07-06 11:47:19	ga_ls8c_ard_3-2-0_114081_2021-07-06_final
2021-07-12 11:09:27	ga_ls8c_ard_3-2-0_108079_2021-07-12_final
2021-07-19 09:33:59	ga_ls8c_ard_3-2-0_093072_2021-07-19_final
2021-07-29 11:52:26	ga_ls8c_ard_3-2-0_115078_2021-07-29_final
2021-08-02 09:46:28	ga_ls8c_ard_3-2-0_095072_2021-08-02_final
2021-08-02 11:24:33	ga_ls8c_ard_3-2-0_111070_2021-08-02_final
2021-08-21 10:17:05	ga_ls8c_ard_3-2-0_100071_2021-08-21_final
2021-08-29 11:08:09	ga_ls8c_ard_3-2-0_108075_2021-08-29_final
2021-09-03 11:26:19	ga_ls8c_ard_3-2-0_111074_2021-09-03_final
2021-09-09 10:49:40	ga_ls8c_ard_3-2-0_105075_2021-09-09_final
2021-09-21 09:34:20	ga_ls8c_ard_3-2-0_093072_2021-09-21_final
2021-11-03 10:55:36	ga_ls8c_ard_3-2-0_106074_2021-11-03_final
2021-12-11 10:22:03	ga_ls8c_ard_3-2-1_100083_2021-12-11_final
2021-12-20 10:10:15	ga_ls8c_ard_3-2-1_099069_2021-12-20_final
2021-12-26 11:14:01	ga_ls8c_ard_3-2-1_109074_2021-12-26_final
2021-12-30 09:13:34	ga_ls8c_ard_3-2-1_089082_2021-12-29_final
2022-01-15 10:46:50	ga_ls8c_ard_3-2-1_105068_2022-01-15_final
2022-01-16 09:52:24	ga_ls8c_ard_3-2-1_096071_2022-01-16_final
2022-01-16 09:52:48	ga_ls8c_ard_3-2-1_096072_2022-01-16_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
2022-03-10 10:09:30	ga_ls8c_ard_3-2-1_099068_2022-03-10_final
2022-04-20 10:02:22	ga_ls8c_ard_3-2-1_098066_2022-04-20_final
2022-04-24 11:17:42	ga_ls8c_ard_3-2-1_110069_2022-04-24_final
2022-05-12 11:10:15	ga_ls8c_ard_3-2-1_108081_2022-05-12_final
2022-06-01 10:46:00	ga_ls8c_ard_3-2-1_104082_2022-06-01_final
2022-06-02 11:25:42	ga_ls8c_ard_3-2-1_111073_2022-06-02_final
2022-06-04 09:39:16	ga_ls8c_ard_3-2-1_093085_2022-06-04_final
2022-06-06 09:27:44	ga_ls8c_ard_3-2-1_091087_2022-06-05_final
2022-06-24 10:49:38	ga_ls8c_ard_3-2-1_105075_2022-06-24_final
2022-08-21 11:26:13	ga_ls8c_ard_3-2-1_111073_2022-08-21_final
2022-09-06 11:25:03	ga_ls8c_ard_3-2-1_111070_2022-09-06_final
2022-09-22 11:24:44	ga_ls8c_ard_3-2-1_111069_2022-09-22_final
2022-10-20 11:52:58	ga_ls8c_ard_3-2-1_115078_2022-10-20_final
2022-11-15 10:49:33	ga_ls8c_ard_3-2-1_105074_2022-11-15_final
2022-11-19 10:28:24	ga_ls8c_ard_3-2-1_101083_2022-11-19_final
2022-12-08 10:53:44	ga_ls8c_ard_3-2-1_106069_2022-12-08_final
2022-12-20 09:41:02	ga_ls8c_ard_3-2-1_094073_2022-12-20_final
2023-01-02 09:10:32	ga_ls8c_ard_3-2-1_089074_2023-01-01_final
2023-01-19 09:53:16	ga_ls8c_ard_3-2-1_096073_2023-01-19_final
2023-02-01 11:02:09	ga_ls8c_ard_3-2-1_107075_2023-02-01_final
2023-02-19 10:46:48	ga_ls8c_ard_3-2-1_105068_2023-02-19_final
2023-03-08 09:52:10	ga_ls8c_ard_3-2-1_096071_2023-03-08_final
2023-03-10 09:39:48	ga_ls8c_ard_3-2-1_094071_2023-03-10_final
2023-03-14 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-03-14_final
2023-03-17 11:24:50	ga_ls8c_ard_3-2-1_111071_2023-03-17_final
2023-04-17 10:45:33	ga_ls8c_ard_3-2-1_104082_2023-04-17_final
2023-05-09 10:07:06	ga_ls8c_ard_3-2-1_098079_2023-05-09_final
2023-05-12 10:39:08	ga_ls8c_ard_3-2-1_103082_2023-05-12_final
2023-05-17 10:55:14	ga_ls8c_ard_3-2-1_106076_2023-05-17_final
2023-06-05 11:25:03	ga_ls8c_ard_3-2-1_111073_2023-06-05_final
2023-06-16 09:28:31	ga_ls8c_ard_3-2-1_092075_2023-06-15_final
2023-08-14 10:48:54	ga_ls8c_ard_3-2-1_105074_2023-08-14_final
2023-08-28 09:26:28	ga_ls8c_ard_3-2-1_091084_2023-08-27_final
2023-10-23 10:11:18	ga_ls8c_ard_3-2-1_099072_2023-10-23_final
2023-11-17 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-11-17_final
2023-11-25 10:53:02	ga_ls8c_ard_3-2-1_106068_2023-11-25_final
2023-11-28 11:25:31	ga_ls8c_ard_3-2-1_111072_2023-11-28_final
2023-11-28 11:29:31	ga_ls8c_ard_3-2-1_111082_2023-11-28_final
2023-11-30 11:13:56	ga_ls8c_ard_3-2-1_109074_2023-11-30_final
2023-12-05 11:35:59	ga_ls8c_ard_3-2-1_112083_2023-12-05_final
2024-01-04 10:03:50	ga_ls8c_ard_3-2-1_098069_2024-01-04_final
2024-02-02 11:13:48	ga_ls8c_ard_3-2-1_109074_2024-02-02_final
2024-02-04 09:21:46	ga_ls8c_ard_3-2-1_091072_2024-02-03_final
2024-02-10 10:23:11	ga_ls8c_ard_3-2-1_101071_2024-02-10_final
2024-02-28 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-02-28_final
2024-03-08 10:09:12	ga_ls8c_ard_3-2-1_098083_2024-03-08_final
2024-03-25 10:47:04	ga_ls8c_ard_3-2-1_105070_2024-03-25_final
2024-04-04 09:51:36	ga_ls8c_ard_3-2-1_095086_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