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
2013-03-30 10:31:27	ga_ls8c_ard_3-1-0_102073_2013-03-30_final
2013-12-09 11:33:04	ga_ls8c_ard_3-0-0_112072_2013-12-09_final
2014-02-18 11:36:29	ga_ls8c_ard_3-0-0_113067_2014-02-18_final
2014-09-23 11:31:57	ga_ls8c_ard_3-0-0_112073_2014-09-23_final
2016-04-19 11:46:58	ga_ls8c_ard_3-0-0_114081_2016-04-19_final
2016-06-29 11:51:02	ga_ls8c_ard_3-0-0_115075_2016-06-29_final
2016-07-03 11:25:33	ga_ls8c_ard_3-0-0_111073_2016-07-03_final
2016-07-26 11:31:28	ga_ls8c_ard_3-0-0_112072_2016-07-26_final
2017-06-23 11:57:08	ga_ls8c_ard_3-0-0_116075_2017-06-23_final
2017-11-30 08:42:33	ga_ls8c_ard_3-2-1_084082_2017-11-29_final
2017-12-29 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-12-29_final
2018-03-19 11:23:14	ga_ls8c_ard_3-0-0_111068_2018-03-19_final
2018-04-09 11:41:13	ga_ls8c_ard_3-0-0_114067_2018-04-09_final
2018-07-30 11:46:42	ga_ls8c_ard_3-0-0_114081_2018-07-30_final
2019-03-22 11:25:40	ga_ls8c_ard_3-1-0_111074_2019-03-22_final
2019-07-05 11:19:49	ga_ls8c_ard_3-1-0_110074_2019-07-05_final
2019-07-21 11:19:52	ga_ls8c_ard_3-1-0_110074_2019-07-21_final
2019-08-04 11:31:56	ga_ls8c_ard_3-1-0_112073_2019-08-04_final
2020-05-25 11:37:54	ga_ls8c_ard_3-1-0_113074_2020-05-25_final
2020-12-20 09:07:28	ga_ls8c_ard_3-2-0_088082_2020-12-19_final
2021-01-06 08:10:58	ga_ls8c_ard_3-2-1_079080_2021-01-05_final
2021-01-25 10:19:26	ga_ls8c_ard_3-2-0_100077_2021-01-25_final
2021-02-07 11:25:24	ga_ls8c_ard_3-2-0_111072_2021-02-07_final
2021-02-13 09:13:00	ga_ls8c_ard_3-2-0_089081_2021-02-12_final
2021-03-08 10:53:07	ga_ls8c_ard_3-2-0_106069_2021-03-08_final
2021-04-17 11:41:31	ga_ls8c_ard_3-2-0_114067_2021-04-17_final
2021-04-22 10:27:07	ga_ls8c_ard_3-2-0_101082_2021-04-22_final
2021-05-26 10:08:49	ga_ls8c_ard_3-2-0_099067_2021-05-26_final
2021-06-15 11:23:56	ga_ls8c_ard_3-2-0_111069_2021-06-15_final
2021-07-08 09:58:05	ga_ls8c_ard_3-2-0_096086_2021-07-08_final
2021-08-04 11:14:36	ga_ls8c_ard_3-2-0_109076_2021-08-04_final
2021-08-28 10:27:41	ga_ls8c_ard_3-2-0_101082_2021-08-28_final
2021-09-05 11:13:58	ga_ls8c_ard_3-2-0_109074_2021-09-05_final
2021-10-05 11:23:40	ga_ls8c_ard_3-2-0_111067_2021-10-05_final
2021-10-12 11:32:17	ga_ls8c_ard_3-2-0_112073_2021-10-12_final
2021-11-08 09:34:50	ga_ls8c_ard_3-2-0_093073_2021-11-08_final
2021-11-15 09:45:22	ga_ls8c_ard_3-2-0_094084_2021-11-15_final
2021-11-24 09:37:59	ga_ls8c_ard_3-2-0_093081_2021-11-24_final
2022-01-31 10:47:09	ga_ls8c_ard_3-2-1_105069_2022-01-31_final
2022-02-08 09:57:41	ga_ls8c_ard_3-2-1_097069_2022-02-08_final
2022-02-14 09:22:58	ga_ls8c_ard_3-2-1_091075_2022-02-13_final
2022-03-11 09:17:28	ga_ls8c_ard_3-2-1_090077_2022-03-10_final
2022-03-13 10:45:58	ga_ls8c_ard_3-2-1_104082_2022-03-13_final
2022-03-27 10:52:34	ga_ls8c_ard_3-2-1_106068_2022-03-27_final
2022-04-19 09:22:42	ga_ls8c_ard_3-2-1_091075_2022-04-18_final
2022-04-19 11:05:11	ga_ls8c_ard_3-2-1_107084_2022-04-19_final
2022-05-13 10:10:38	ga_ls8c_ard_3-2-1_099071_2022-05-13_final
2022-05-16 09:07:04	ga_ls8c_ard_3-2-1_088082_2022-05-15_final
2022-06-13 09:33:36	ga_ls8c_ard_3-2-1_092086_2022-06-13_final
2022-07-10 09:11:57	ga_ls8c_ard_3-2-1_089078_2022-07-09_final
2022-07-17 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-07-17_final
2022-07-17 10:58:13	ga_ls8c_ard_3-2-1_106081_2022-07-17_final
2022-08-08 11:59:04	ga_ls8c_ard_3-2-1_116078_2022-08-08_final
2022-08-15 10:28:00	ga_ls8c_ard_3-2-1_101082_2022-08-15_final
2022-08-21 11:24:14	ga_ls8c_ard_3-2-1_111068_2022-08-21_final
2022-08-24 11:59:07	ga_ls8c_ard_3-2-1_116078_2022-08-24_final
2022-08-25 09:29:24	ga_ls8c_ard_3-2-1_091090_2022-08-24_final
2022-08-31 10:28:00	ga_ls8c_ard_3-2-1_101082_2022-08-31_final
2022-09-01 09:30:47	ga_ls8c_ard_3-2-1_092078_2022-09-01_final
2022-09-19 09:22:08	ga_ls8c_ard_3-2-1_090087_2022-09-18_final
2022-10-08 09:48:59	ga_ls8c_ard_3-2-1_095077_2022-10-08_final
2022-10-10 11:14:16	ga_ls8c_ard_3-2-1_109074_2022-10-10_final
2022-10-20 10:10:06	ga_ls8c_ard_3-2-1_099068_2022-10-20_final
2022-11-03 10:28:07	ga_ls8c_ard_3-2-1_101082_2022-11-03_final
2022-11-04 09:34:30	ga_ls8c_ard_3-2-1_092087_2022-11-04_final
2022-11-12 11:59:10	ga_ls8c_ard_3-2-1_116078_2022-11-12_final
2022-12-06 11:11:41	ga_ls8c_ard_3-2-1_108083_2022-12-06_final
2022-12-30 10:20:07	ga_ls8c_ard_3-2-1_100078_2022-12-30_final
2023-01-08 10:11:31	ga_ls8c_ard_3-2-1_099072_2023-01-08_final
2023-01-24 10:10:41	ga_ls8c_ard_3-2-1_099070_2023-01-24_final
2023-01-25 10:53:57	ga_ls8c_ard_3-2-1_106070_2023-01-25_final
2023-01-30 11:13:42	ga_ls8c_ard_3-2-1_109073_2023-01-30_final
2023-02-02 10:04:08	ga_ls8c_ard_3-2-1_098069_2023-02-02_final
2023-02-22 09:41:09	ga_ls8c_ard_3-2-1_094074_2023-02-22_final
2023-03-31 10:01:45	ga_ls8c_ard_3-2-1_097080_2023-03-31_final
2023-04-12 10:27:02	ga_ls8c_ard_3-2-1_101082_2023-04-12_final
2023-04-24 09:10:50	ga_ls8c_ard_3-2-1_089077_2023-04-23_final
2023-04-25 11:31:23	ga_ls8c_ard_3-2-1_112073_2023-04-25_final
2023-04-29 09:32:09	ga_ls8c_ard_3-2-1_092084_2023-04-29_final
2023-05-07 11:57:59	ga_ls8c_ard_3-2-1_116078_2023-05-07_final
2023-05-15 11:09:13	ga_ls8c_ard_3-2-1_108080_2023-05-15_final
2023-06-07 11:13:55	ga_ls8c_ard_3-2-1_109076_2023-06-07_final
2023-06-09 09:27:29	ga_ls8c_ard_3-2-1_091088_2023-06-08_final
2023-06-11 09:10:45	ga_ls8c_ard_3-2-1_089077_2023-06-10_final
2023-06-16 11:11:00	ga_ls8c_ard_3-2-1_108084_2023-06-16_final
2023-06-25 09:21:12	ga_ls8c_ard_3-2-1_091072_2023-06-24_final
2023-07-03 11:52:02	ga_ls8c_ard_3-2-1_115078_2023-07-03_final
2023-08-10 09:33:54	ga_ls8c_ard_3-2-1_093072_2023-08-10_final
2023-08-24 11:23:41	ga_ls8c_ard_3-2-1_111068_2023-08-24_final
2023-09-12 11:58:37	ga_ls8c_ard_3-2-1_116078_2023-09-12_final
2023-09-13 09:22:55	ga_ls8c_ard_3-2-1_091075_2023-09-12_final
2023-11-28 11:25:31	ga_ls8c_ard_3-2-1_111072_2023-11-28_final
2023-12-02 09:25:28	ga_ls8c_ard_3-2-1_091081_2023-12-01_final
2023-12-13 10:42:59	ga_ls8c_ard_3-2-1_104074_2023-12-13_final
2024-01-11 10:10:03	ga_ls8c_ard_3-2-1_099069_2024-01-11_final
2024-01-11 11:52:55	ga_ls8c_ard_3-2-1_115079_2024-01-11_final
2024-01-17 11:12:39	ga_ls8c_ard_3-2-1_109071_2024-01-17_final
2024-01-18 10:17:01	ga_ls8c_ard_3-2-1_100071_2024-01-18_final
2024-01-21 09:12:12	ga_ls8c_ard_3-2-1_089079_2024-01-20_final
2024-03-26 11:31:06	ga_ls8c_ard_3-2-1_112072_2024-03-26_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