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
2014-03-24 11:24:50	ga_ls8c_ard_3-0-0_111070_2014-03-24_final
2014-04-16 11:31:49	ga_ls8c_ard_3-0-0_112073_2014-04-16_final
2014-06-21 11:23:37	ga_ls8c_ard_3-0-0_110084_2014-06-21_final
2014-08-06 11:31:29	ga_ls8c_ard_3-0-0_112072_2014-08-06_final
2015-08-18 11:28:37	ga_ls8c_ard_3-0-0_111081_2015-08-18_final
2015-12-08 11:23:25	ga_ls8c_ard_3-0-0_111067_2015-12-08_final
2015-12-15 11:31:36	ga_ls8c_ard_3-0-0_112072_2015-12-15_final
2016-01-16 11:29:57	ga_ls8c_ard_3-0-0_112068_2016-01-16_final
2016-02-17 11:30:11	ga_ls8c_ard_3-0-0_112069_2016-02-17_final
2017-03-23 11:35:29	ga_ls8c_ard_3-0-0_112083_2017-03-23_final
2017-06-25 11:41:35	ga_ls8c_ard_3-0-0_114067_2017-06-25_final
2017-10-10 11:24:46	ga_ls8c_ard_3-0-0_111070_2017-10-10_final
2018-01-17 11:58:37	ga_ls8c_ard_3-0-0_116078_2018-01-17_final
2018-09-16 11:41:28	ga_ls8c_ard_3-0-0_114067_2018-09-16_final
2018-10-02 11:41:35	ga_ls8c_ard_3-0-0_114067_2018-10-02_final
2019-04-07 11:25:12	ga_ls8c_ard_3-1-0_111073_2019-04-07_final
2019-04-07 11:25:36	ga_ls8c_ard_3-1-0_111074_2019-04-07_final
2019-05-16 11:30:15	ga_ls8c_ard_3-0-0_112070_2019-05-16_final
2020-08-06 11:31:26	ga_ls8c_ard_3-1-0_112072_2020-08-06_final
2020-12-27 09:12:25	ga_ls8c_ard_3-2-0_089079_2020-12-26_final
2021-01-18 10:09:41	ga_ls8c_ard_3-2-0_099068_2021-01-18_final
2021-02-13 10:49:29	ga_ls8c_ard_3-2-0_105075_2021-02-13_final
2021-02-16 11:21:10	ga_ls8c_ard_3-2-0_110077_2021-02-16_final
2021-02-19 10:13:10	ga_ls8c_ard_3-2-0_099077_2021-02-19_final
2021-03-03 10:39:48	ga_ls8c_ard_3-2-0_103082_2021-03-03_final
2021-03-26 10:42:13	ga_ls8c_ard_3-2-0_104073_2021-03-26_final
2021-04-12 09:45:19	ga_ls8c_ard_3-2-0_095070_2021-04-12_final
2021-04-14 09:38:08	ga_ls8c_ard_3-2-0_093083_2021-04-14_final
2021-05-25 09:28:45	ga_ls8c_ard_3-2-0_092075_2021-05-24_final
2021-05-25 11:09:37	ga_ls8c_ard_3-2-0_108080_2021-05-25_final
2021-05-26 10:15:36	ga_ls8c_ard_3-2-0_099084_2021-05-26_final
2021-06-17 09:33:53	ga_ls8c_ard_3-2-0_093072_2021-06-17_final
2021-07-08 11:30:11	ga_ls8c_ard_3-2-0_112069_2021-07-08_final
2021-07-12 11:07:27	ga_ls8c_ard_3-2-0_108074_2021-07-12_final
2021-07-17 11:25:36	ga_ls8c_ard_3-2-0_111073_2021-07-17_final
2021-08-30 11:52:37	ga_ls8c_ard_3-2-0_115078_2021-08-30_final
2021-09-03 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-09-03_final
2021-09-10 11:30:56	ga_ls8c_ard_3-2-0_112070_2021-09-10_final
2021-09-28 11:19:27	ga_ls8c_ard_3-2-0_110072_2021-09-28_final
2021-10-14 11:17:32	ga_ls8c_ard_3-2-0_110067_2021-10-14_final
2021-10-21 11:24:55	ga_ls8c_ard_3-2-0_111070_2021-10-21_final
2021-10-25 09:26:54	ga_ls8c_ard_3-2-0_091084_2021-10-24_final
2021-11-08 11:16:31	ga_ls8c_ard_3-2-0_109080_2021-11-08_final
2021-11-12 09:14:29	ga_ls8c_ard_3-2-0_089084_2021-11-11_final
2021-12-10 11:18:04	ga_ls8c_ard_3-2-1_109084_2021-12-10_final
2022-01-18 09:40:26	ga_ls8c_ard_3-2-1_094072_2022-01-18_final
2022-02-05 09:28:00	ga_ls8c_ard_3-2-1_092072_2022-02-04_final
2022-03-16 11:11:39	ga_ls8c_ard_3-2-1_109069_2022-03-16_final
2022-04-05 09:11:05	ga_ls8c_ard_3-2-1_089077_2022-04-04_final
2022-04-08 09:39:37	ga_ls8c_ard_3-2-1_094071_2022-04-08_final
2022-04-29 09:56:55	ga_ls8c_ard_3-2-1_097068_2022-04-29_final
2022-05-01 09:52:10	ga_ls8c_ard_3-2-1_095087_2022-05-01_final
2022-05-10 11:19:48	ga_ls8c_ard_3-2-1_110074_2022-05-10_final
2022-05-12 11:07:27	ga_ls8c_ard_3-2-1_108074_2022-05-12_final
2022-05-19 09:39:58	ga_ls8c_ard_3-2-1_093087_2022-05-19_final
2022-05-30 09:16:39	ga_ls8c_ard_3-2-1_090075_2022-05-29_final
2022-06-07 10:03:26	ga_ls8c_ard_3-2-1_098068_2022-06-07_final
2022-06-13 09:33:36	ga_ls8c_ard_3-2-1_092086_2022-06-13_final
2022-06-13 09:34:00	ga_ls8c_ard_3-2-1_092087_2022-06-13_final
2022-07-08 09:27:55	ga_ls8c_ard_3-2-1_091087_2022-07-07_final
2022-07-21 10:33:57	ga_ls8c_ard_3-2-1_102082_2022-07-21_final
2022-07-24 09:23:13	ga_ls8c_ard_3-2-1_091075_2022-07-23_final
2022-08-09 11:05:51	ga_ls8c_ard_3-2-1_107084_2022-08-09_final
2022-08-23 09:38:10	ga_ls8c_ard_3-2-1_093081_2022-08-23_final
2022-09-01 09:33:35	ga_ls8c_ard_3-2-1_092085_2022-09-01_final
2022-09-18 10:10:58	ga_ls8c_ard_3-2-1_099070_2022-09-18_final
2022-10-03 09:31:17	ga_ls8c_ard_3-2-1_092079_2022-10-03_final
2022-10-12 09:23:00	ga_ls8c_ard_3-2-1_091074_2022-10-11_final
2022-10-14 09:11:01	ga_ls8c_ard_3-2-1_089075_2022-10-13_final
2022-10-17 11:18:27	ga_ls8c_ard_3-2-1_110069_2022-10-17_final
2022-10-23 10:46:37	ga_ls8c_ard_3-2-1_104082_2022-10-23_final
2022-11-22 10:53:44	ga_ls8c_ard_3-2-1_106069_2022-11-22_final
2022-12-01 10:50:22	ga_ls8c_ard_3-2-1_105076_2022-12-01_final
2022-12-07 11:52:57	ga_ls8c_ard_3-2-1_115078_2022-12-07_final
2022-12-14 10:22:11	ga_ls8c_ard_3-2-1_100083_2022-12-14_final
2023-01-01 10:10:09	ga_ls8c_ard_3-2-1_098084_2023-01-01_final
2023-01-24 10:11:29	ga_ls8c_ard_3-2-1_099072_2023-01-24_final
2023-03-01 09:52:27	ga_ls8c_ard_3-2-1_095087_2023-03-01_final
2023-03-11 10:23:04	ga_ls8c_ard_3-2-1_101071_2023-03-11_final
2023-03-29 11:52:13	ga_ls8c_ard_3-2-1_115078_2023-03-29_final
2023-04-14 10:09:05	ga_ls8c_ard_3-2-1_099068_2023-04-14_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-13 11:17:36	ga_ls8c_ard_3-2-1_110070_2023-05-13_final
2023-06-19 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-06-19_final
2023-07-19 10:09:14	ga_ls8c_ard_3-2-1_099068_2023-07-19_final
2023-07-26 10:16:41	ga_ls8c_ard_3-2-1_100071_2023-07-26_final
2023-08-20 10:11:06	ga_ls8c_ard_3-2-1_099072_2023-08-20_final
2023-08-30 10:49:24	ga_ls8c_ard_3-2-1_105075_2023-08-30_final
2023-09-22 09:17:34	ga_ls8c_ard_3-2-1_090077_2023-09-21_final
2023-09-22 10:56:03	ga_ls8c_ard_3-2-1_106076_2023-09-22_final
2023-09-23 09:57:14	ga_ls8c_ard_3-2-1_097068_2023-09-23_final
2023-10-09 11:37:48	ga_ls8c_ard_3-2-1_113072_2023-10-09_final
2023-10-25 11:37:50	ga_ls8c_ard_3-2-1_113072_2023-10-25_final
2023-11-15 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-11-15_final
2023-11-30 11:14:20	ga_ls8c_ard_3-2-1_109075_2023-11-30_final
2023-12-02 09:22:40	ga_ls8c_ard_3-2-1_091074_2023-12-01_final
2024-01-05 09:13:47	ga_ls8c_ard_3-2-1_089083_2024-01-04_final
2024-01-10 11:06:04	ga_ls8c_ard_3-2-1_108070_2024-01-10_final
2024-01-21 10:47:06	ga_ls8c_ard_3-2-1_105069_2024-01-21_final
2024-02-02 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-02_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