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
2013-07-20 11:25:27	ga_ls8c_ard_3-0-0_110083_2013-07-20_final
2013-10-08 11:21:00	ga_ls8c_ard_3-0-0_110072_2013-10-08_final
2013-10-24 11:20:05	ga_ls8c_ard_3-0-0_110070_2013-10-24_final
2013-12-11 11:19:54	ga_ls8c_ard_3-0-0_110070_2013-12-11_final
2013-12-18 11:25:11	ga_ls8c_ard_3-0-0_111068_2013-12-18_final
2015-09-26 11:31:28	ga_ls8c_ard_3-0-0_112072_2015-09-26_final
2016-03-09 11:51:05	ga_ls8c_ard_3-0-0_115075_2016-03-09_final
2016-06-13 11:50:54	ga_ls8c_ard_3-0-0_115075_2016-06-13_final
2016-09-10 11:42:03	ga_ls8c_ard_3-0-0_114067_2016-09-10_final
2017-07-02 11:51:23	ga_ls8c_ard_3-0-0_115076_2017-07-02_final
2017-09-15 11:32:46	ga_ls8c_ard_3-0-0_112075_2017-09-15_final
2017-10-15 11:42:07	ga_ls8c_ard_3-0-0_114067_2017-10-15_final
2017-10-19 11:20:12	ga_ls8c_ard_3-0-0_110074_2017-10-19_final
2017-11-09 11:41:55	ga_ls8c_ard_3-0-0_113082_2017-11-09_final
2017-11-20 11:18:32	ga_ls8c_ard_3-0-0_110070_2017-11-20_final
2018-04-18 11:34:56	ga_ls8c_ard_3-0-0_113067_2018-04-18_final
2018-11-12 11:41:58	ga_ls8c_ard_3-0-0_113083_2018-11-12_final
2019-01-13 11:53:03	ga_ls8c_ard_3-0-0_115080_2019-01-13_final
2019-07-05 11:21:25	ga_ls8c_ard_3-1-0_110078_2019-07-05_final
2019-07-28 11:26:07	ga_ls8c_ard_3-1-0_111074_2019-07-28_final
2019-09-12 11:42:18	ga_ls8c_ard_3-1-0_113083_2019-09-12_final
2019-10-14 11:40:02	ga_ls8c_ard_3-1-0_113077_2019-10-14_final
2019-11-19 11:17:39	ga_ls8c_ard_3-1-0_109083_2019-11-19_final
2019-12-12 11:23:24	ga_ls8c_ard_3-1-0_110082_2019-12-12_final
2019-12-14 11:08:14	ga_ls8c_ard_3-2-0_108075_2019-12-14_final
2019-12-17 10:03:51	ga_ls8c_ard_3-2-0_097084_2019-12-17_final
2020-03-04 11:51:09	ga_ls8c_ard_3-1-0_115075_2020-03-04_final
2020-04-25 11:26:24	ga_ls8c_ard_3-1-0_111076_2020-04-25_final
2020-08-15 11:29:17	ga_ls8c_ard_3-1-0_111082_2020-08-15_final
2020-08-22 11:32:44	ga_ls8c_ard_3-1-0_112075_2020-08-22_final
2020-08-28 09:17:13	ga_ls8c_ard_3-1-0_090076_2020-08-27_final
2020-10-07 11:46:09	ga_ls8c_ard_3-1-0_114077_2020-10-07_final
2020-12-10 10:04:30	ga_ls8c_ard_3-1-0_098070_2020-12-10_final
2021-01-17 09:26:25	ga_ls8c_ard_3-2-0_092068_2021-01-16_final
2021-02-11 09:23:22	ga_ls8c_ard_3-2-0_091076_2021-02-10_final
2021-02-24 10:28:06	ga_ls8c_ard_3-2-0_102068_2021-02-24_final
2021-03-11 09:51:53	ga_ls8c_ard_3-2-0_095086_2021-03-11_final
2021-03-12 10:30:45	ga_ls8c_ard_3-2-0_102075_2021-03-12_final
2021-03-20 09:40:26	ga_ls8c_ard_3-2-0_094073_2021-03-20_final
2021-03-28 10:28:40	ga_ls8c_ard_3-2-0_102070_2021-03-28_final
2021-04-10 09:57:41	ga_ls8c_ard_3-2-0_097070_2021-04-10_final
2021-05-02 09:21:37	ga_ls8c_ard_3-2-0_091073_2021-05-01_final
2021-05-02 09:24:00	ga_ls8c_ard_3-2-0_091079_2021-05-01_final
2021-05-23 09:39:29	ga_ls8c_ard_3-2-0_094071_2021-05-23_final
2021-06-26 11:07:26	ga_ls8c_ard_3-2-0_108074_2021-06-26_final
2021-07-08 09:57:41	ga_ls8c_ard_3-2-0_096085_2021-07-08_final
2021-07-12 09:28:34	ga_ls8c_ard_3-2-0_092074_2021-07-11_final
2021-07-24 11:35:03	ga_ls8c_ard_3-2-0_112081_2021-07-24_final
2021-07-31 11:37:42	ga_ls8c_ard_3-2-0_113072_2021-07-31_final
2021-08-02 09:47:16	ga_ls8c_ard_3-2-0_095074_2021-08-02_final
2021-08-04 09:34:31	ga_ls8c_ard_3-2-0_093073_2021-08-04_final
2021-08-06 09:25:22	ga_ls8c_ard_3-2-0_091081_2021-08-05_final
2021-09-28 11:18:39	ga_ls8c_ard_3-2-0_110070_2021-09-28_final
2021-10-26 10:08:34	ga_ls8c_ard_3-2-0_098080_2021-10-26_final
2022-01-13 11:02:23	ga_ls8c_ard_3-2-1_107076_2022-01-13_final
2022-01-22 09:21:16	ga_ls8c_ard_3-2-1_090086_2022-01-21_final
2022-01-31 09:13:03	ga_ls8c_ard_3-2-1_089081_2022-01-30_final
2022-02-07 10:58:30	ga_ls8c_ard_3-2-1_106082_2022-02-07_final
2022-03-02 09:28:29	ga_ls8c_ard_3-2-1_091089_2022-03-01_final
2022-03-11 09:22:16	ga_ls8c_ard_3-2-1_090089_2022-03-10_final
2022-04-01 11:15:27	ga_ls8c_ard_3-2-1_109079_2022-04-01_final
2022-06-16 09:57:21	ga_ls8c_ard_3-2-1_097068_2022-06-16_final
2022-06-23 10:03:58	ga_ls8c_ard_3-2-1_098069_2022-06-23_final
2022-06-23 10:09:57	ga_ls8c_ard_3-2-1_098084_2022-06-23_final
2022-07-13 11:19:44	ga_ls8c_ard_3-2-1_110073_2022-07-13_final
2022-07-24 11:02:30	ga_ls8c_ard_3-2-1_107076_2022-07-24_final
2022-08-18 09:21:37	ga_ls8c_ard_3-2-1_090086_2022-08-17_final
2022-08-28 11:36:00	ga_ls8c_ard_3-2-1_112082_2022-08-28_final
2022-09-15 09:41:15	ga_ls8c_ard_3-2-1_094073_2022-09-15_final
2022-11-20 11:11:40	ga_ls8c_ard_3-2-1_108083_2022-11-20_final
2023-02-10 09:21:25	ga_ls8c_ard_3-2-1_090086_2023-02-09_final
2023-02-17 09:27:06	ga_ls8c_ard_3-2-1_091085_2023-02-16_final
2023-02-20 11:36:26	ga_ls8c_ard_3-2-1_112084_2023-02-20_final
2023-03-13 11:52:47	ga_ls8c_ard_3-2-1_115079_2023-03-13_final
2023-03-16 10:42:23	ga_ls8c_ard_3-2-1_104073_2023-03-16_final
2023-03-26 11:20:32	ga_ls8c_ard_3-2-1_110076_2023-03-26_final
2023-04-15 10:53:08	ga_ls8c_ard_3-2-1_106070_2023-04-15_final
2023-04-19 10:27:59	ga_ls8c_ard_3-2-1_102069_2023-04-19_final
2023-04-27 09:40:32	ga_ls8c_ard_3-2-1_094074_2023-04-27_final
2023-06-27 09:15:39	ga_ls8c_ard_3-2-1_089089_2023-06-26_final
2023-06-30 09:39:25	ga_ls8c_ard_3-2-1_094071_2023-06-30_final
2023-07-08 10:33:20	ga_ls8c_ard_3-2-1_102082_2023-07-08_final
2023-07-20 10:55:17	ga_ls8c_ard_3-2-1_106075_2023-07-20_final
2023-08-15 09:57:41	ga_ls8c_ard_3-2-1_096085_2023-08-15_final
2023-08-28 09:22:29	ga_ls8c_ard_3-2-1_091074_2023-08-27_final
2023-08-29 11:45:26	ga_ls8c_ard_3-2-1_114076_2023-08-29_final
2023-10-02 09:52:19	ga_ls8c_ard_3-2-1_096071_2023-10-02_final
2023-10-03 10:38:22	ga_ls8c_ard_3-2-1_103078_2023-10-03_final
2023-10-04 11:19:14	ga_ls8c_ard_3-2-1_110072_2023-10-04_final
2023-10-13 09:34:37	ga_ls8c_ard_3-2-1_093073_2023-10-13_final
2023-10-27 11:23:54	ga_ls8c_ard_3-2-1_111068_2023-10-27_final
2023-11-23 09:33:18	ga_ls8c_ard_3-2-1_092085_2023-11-23_final
2023-11-24 10:16:10	ga_ls8c_ard_3-2-1_099084_2023-11-24_final
2023-11-27 09:07:22	ga_ls8c_ard_3-2-1_088082_2023-11-26_final
2023-12-07 09:40:42	ga_ls8c_ard_3-2-1_094073_2023-12-07_final
2023-12-10 10:09:15	ga_ls8c_ard_3-2-1_099067_2023-12-10_final
2024-01-12 10:54:31	ga_ls8c_ard_3-2-1_106072_2024-01-12_final
2024-01-12 10:55:18	ga_ls8c_ard_3-2-1_106074_2024-01-12_final
2024-01-28 09:16:43	ga_ls8c_ard_3-2-1_090075_2024-01-27_final
2024-04-02 09:58:22	ga_ls8c_ard_3-2-1_097072_2024-04-02_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