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
2014-08-06 11:32:41	ga_ls8c_ard_3-0-0_112075_2014-08-06_final
2015-10-03 11:39:16	ga_ls8c_ard_3-0-0_113076_2015-10-03_final
2016-11-04 11:51:33	ga_ls8c_ard_3-0-0_115075_2016-11-04_final
2016-11-29 11:47:45	ga_ls8c_ard_3-0-0_114081_2016-11-29_final
2018-11-27 12:31:12	ga_ls8c_ard_3-2-1_122067_2018-11-27_final
2019-02-16 11:35:24	ga_ls8c_ard_3-0-0_113067_2019-02-16_final
2019-09-28 11:39:59	ga_ls8c_ard_3-1-0_113077_2019-09-28_final
2019-10-19 11:58:59	ga_ls8c_ard_3-1-0_116078_2019-10-19_final
2020-02-19 11:40:04	ga_ls8c_ard_3-1-0_113078_2020-02-19_final
2020-07-28 11:41:58	ga_ls8c_ard_3-1-0_113083_2020-07-28_final
2020-08-19 09:22:56	ga_ls8c_ard_3-1-0_091075_2020-08-18_final
2020-12-18 09:18:38	ga_ls8c_ard_3-2-0_090079_2020-12-17_final
2020-12-18 10:58:19	ga_ls8c_ard_3-2-0_106081_2020-12-18_final
2020-12-20 10:45:57	ga_ls8c_ard_3-2-0_104081_2020-12-20_final
2021-01-06 09:51:26	ga_ls8c_ard_3-2-0_095084_2021-01-06_final
2021-01-09 11:58:01	ga_ls8c_ard_3-2-0_116076_2021-01-09_final
2021-01-17 11:11:18	ga_ls8c_ard_3-2-0_108083_2021-01-17_final
2021-01-18 10:10:05	ga_ls8c_ard_3-2-0_099069_2021-01-18_final
2021-01-29 09:56:43	ga_ls8c_ard_3-2-0_096082_2021-01-29_final
2021-02-22 10:42:28	ga_ls8c_ard_3-2-0_104073_2021-02-22_final
2021-04-09 10:55:19	ga_ls8c_ard_3-2-0_106075_2021-04-09_final
2021-04-11 10:42:09	ga_ls8c_ard_3-2-0_104073_2021-04-11_final
2021-05-25 09:28:21	ga_ls8c_ard_3-2-0_092074_2021-05-24_final
2021-05-30 08:10:26	ga_ls8c_ard_3-2-1_079080_2021-05-29_final
2021-06-01 09:40:10	ga_ls8c_ard_3-2-0_093088_2021-06-01_final
2021-07-01 11:29:34	ga_ls8c_ard_3-2-0_111083_2021-07-01_final
2021-07-02 10:32:45	ga_ls8c_ard_3-2-0_102080_2021-07-02_final
2021-07-22 11:45:24	ga_ls8c_ard_3-2-0_114076_2021-07-22_final
2021-08-06 09:28:58	ga_ls8c_ard_3-2-0_091090_2021-08-05_final
2021-08-08 09:13:49	ga_ls8c_ard_3-2-0_089083_2021-08-07_final
2021-09-04 10:28:19	ga_ls8c_ard_3-2-0_102068_2021-09-04_final
2021-09-12 09:46:05	ga_ls8c_ard_3-2-0_094086_2021-09-12_final
2021-09-20 10:30:21	ga_ls8c_ard_3-2-0_102073_2021-09-20_final
2021-10-14 11:20:19	ga_ls8c_ard_3-2-0_110074_2021-10-14_final
2021-11-10 09:25:16	ga_ls8c_ard_3-2-0_091080_2021-11-09_final
2021-11-18 10:13:51	ga_ls8c_ard_3-2-0_099078_2021-11-18_final
2021-11-18 10:15:03	ga_ls8c_ard_3-2-0_099081_2021-11-18_final
2021-12-26 11:12:25	ga_ls8c_ard_3-2-1_109070_2021-12-26_final
2022-01-05 11:51:27	ga_ls8c_ard_3-2-1_115075_2022-01-05_final
2022-02-09 09:07:15	ga_ls8c_ard_3-2-1_088082_2022-02-08_final
2022-02-25 10:40:27	ga_ls8c_ard_3-2-1_104068_2022-02-25_final
2022-03-19 11:45:43	ga_ls8c_ard_3-2-1_114077_2022-03-19_final
2022-03-30 09:45:44	ga_ls8c_ard_3-2-1_095071_2022-03-30_final
2022-04-04 10:04:18	ga_ls8c_ard_3-2-1_098071_2022-04-04_final
2022-04-10 09:31:40	ga_ls8c_ard_3-2-1_092082_2022-04-10_final
2022-04-21 10:46:26	ga_ls8c_ard_3-2-1_105068_2022-04-21_final
2022-05-13 11:52:19	ga_ls8c_ard_3-2-1_115078_2022-05-13_final
2022-05-22 11:47:22	ga_ls8c_ard_3-2-1_114081_2022-05-22_final
2022-06-20 09:39:50	ga_ls8c_ard_3-2-1_093086_2022-06-20_final
2022-07-08 09:22:43	ga_ls8c_ard_3-2-1_091074_2022-07-07_final
2022-07-11 09:57:36	ga_ls8c_ard_3-2-1_096084_2022-07-11_final
2022-07-18 09:58:13	ga_ls8c_ard_3-2-1_097070_2022-07-18_final
2022-08-18 09:17:14	ga_ls8c_ard_3-2-1_090075_2022-08-17_final
2022-09-03 09:23:13	ga_ls8c_ard_3-2-1_090090_2022-09-02_final
2022-09-19 09:23:20	ga_ls8c_ard_3-2-1_090090_2022-09-18_final
2022-09-22 11:25:08	ga_ls8c_ard_3-2-1_111070_2022-09-22_final
2022-10-19 11:06:54	ga_ls8c_ard_3-2-1_108071_2022-10-19_final
2022-10-21 09:23:16	ga_ls8c_ard_3-2-1_090090_2022-10-20_final
2022-10-22 11:41:50	ga_ls8c_ard_3-2-1_113081_2022-10-22_final
2022-11-02 09:46:51	ga_ls8c_ard_3-2-1_094087_2022-11-02_final
2022-11-11 09:39:02	ga_ls8c_ard_3-2-1_093083_2022-11-11_final
2022-12-17 10:53:03	ga_ls8c_ard_3-2-1_105083_2022-12-17_final
2023-01-24 10:13:52	ga_ls8c_ard_3-2-1_099078_2023-01-24_final
2023-01-26 09:59:08	ga_ls8c_ard_3-2-1_097072_2023-01-26_final
2023-01-30 11:12:55	ga_ls8c_ard_3-2-1_109071_2023-01-30_final
2023-02-01 09:28:51	ga_ls8c_ard_3-2-1_091089_2023-01-31_final
2023-02-16 10:18:21	ga_ls8c_ard_3-2-1_100074_2023-02-16_final
2023-02-17 09:29:06	ga_ls8c_ard_3-2-1_091090_2023-02-16_final
2023-02-18 11:44:50	ga_ls8c_ard_3-2-1_114074_2023-02-18_final
2023-02-19 10:52:47	ga_ls8c_ard_3-2-1_105083_2023-02-19_final
2023-03-05 09:28:54	ga_ls8c_ard_3-2-1_091090_2023-03-04_final
2023-03-10 11:19:29	ga_ls8c_ard_3-2-1_110073_2023-03-10_final
2023-03-14 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-03-14_final
2023-03-24 11:31:18	ga_ls8c_ard_3-2-1_112072_2023-03-24_final
2023-04-03 10:28:37	ga_ls8c_ard_3-2-1_102070_2023-04-03_final
2023-04-16 09:57:31	ga_ls8c_ard_3-2-1_097070_2023-04-16_final
2023-05-18 11:37:42	ga_ls8c_ard_3-2-1_113074_2023-05-18_final
2023-06-03 09:56:53	ga_ls8c_ard_3-2-1_097069_2023-06-03_final
2023-06-30 11:21:06	ga_ls8c_ard_3-2-1_110078_2023-06-30_final
2023-07-12 10:03:27	ga_ls8c_ard_3-2-1_098069_2023-07-12_final
2023-07-20 10:55:17	ga_ls8c_ard_3-2-1_106075_2023-07-20_final
2023-07-28 10:03:09	ga_ls8c_ard_3-2-1_098068_2023-07-28_final
2023-07-30 09:51:37	ga_ls8c_ard_3-2-1_096070_2023-07-30_final
2023-07-30 11:36:05	ga_ls8c_ard_3-2-1_112084_2023-07-30_final
2023-08-20 11:52:46	ga_ls8c_ard_3-2-1_115079_2023-08-20_final
2023-09-06 10:55:09	ga_ls8c_ard_3-2-1_106074_2023-09-06_final
2023-10-04 09:43:32	ga_ls8c_ard_3-2-1_094080_2023-10-04_final
2023-10-17 09:14:40	ga_ls8c_ard_3-2-1_089085_2023-10-16_final
2023-10-25 09:57:46	ga_ls8c_ard_3-2-1_097069_2023-10-25_final
2023-11-01 10:03:58	ga_ls8c_ard_3-2-1_098069_2023-11-01_final
2023-12-11 09:18:02	ga_ls8c_ard_3-2-1_090078_2023-12-10_final
2023-12-26 11:51:24	ga_ls8c_ard_3-2-1_115075_2023-12-26_final
2024-01-12 09:21:37	ga_ls8c_ard_3-2-1_090087_2024-01-11_final
2024-01-24 09:42:16	ga_ls8c_ard_3-2-1_094077_2024-01-24_final
2024-02-06 10:52:18	ga_ls8c_ard_3-2-1_105082_2024-02-06_final
2024-02-14 09:58:50	ga_ls8c_ard_3-2-1_097072_2024-02-14_final
2024-02-22 10:52:39	ga_ls8c_ard_3-2-1_105083_2024-02-22_final
2024-02-25 11:19:08	ga_ls8c_ard_3-2-1_110072_2024-02-25_final
2024-03-02 09:06:18	ga_ls8c_ard_3-2-1_088080_2024-03-01_final
2024-03-03 09:46:45	ga_ls8c_ard_3-2-1_095073_2024-03-03_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