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
2013-05-03 11:12:56	ga_ls8c_ard_3-0-0_108083_2013-05-03_final
2013-07-04 11:21:53	ga_ls8c_ard_3-0-0_110074_2013-07-04_final
2013-10-01 11:16:24	ga_ls8c_ard_3-0-0_109076_2013-10-01_final
2014-02-22 11:18:05	ga_ls8c_ard_3-0-0_109083_2014-02-22_final
2014-04-27 11:16:20	ga_ls8c_ard_3-0-0_109081_2014-04-27_final
2014-05-11 11:27:17	ga_ls8c_ard_3-0-0_111078_2014-05-11_final
2014-06-03 11:29:30	ga_ls8c_ard_3-0-0_112068_2014-06-03_final
2014-08-27 11:52:29	ga_ls8c_ard_3-0-0_115078_2014-08-27_final
2015-03-29 11:13:11	ga_ls8c_ard_3-0-0_109074_2015-03-29_final
2015-05-23 11:17:22	ga_ls8c_ard_3-0-0_110070_2015-05-23_final
2015-10-21 11:26:08	ga_ls8c_ard_3-0-0_111074_2015-10-21_final
2015-12-01 11:17:16	ga_ls8c_ard_3-0-0_110067_2015-12-01_final
2015-12-17 11:17:15	ga_ls8c_ard_3-0-0_110067_2015-12-17_final
2016-03-18 11:46:50	ga_ls8c_ard_3-0-0_114080_2016-03-18_final
2016-04-14 11:24:05	ga_ls8c_ard_3-0-0_111070_2016-04-14_final
2016-12-28 11:14:45	ga_ls8c_ard_3-0-0_109076_2016-12-28_final
2017-02-08 11:51:35	ga_ls8c_ard_3-0-0_115076_2017-02-08_final
2017-04-06 11:45:22	ga_ls8c_ard_3-0-0_114077_2017-04-06_final
2017-09-04 11:52:07	ga_ls8c_ard_3-0-0_115077_2017-09-04_final
2017-10-17 11:30:58	ga_ls8c_ard_3-0-0_112070_2017-10-17_final
2017-12-06 11:21:15	ga_ls8c_ard_3-0-0_110077_2017-12-06_final
2018-01-16 11:16:34	ga_ls8c_ard_3-0-0_109081_2018-01-16_final
2018-02-06 11:35:43	ga_ls8c_ard_3-0-0_112083_2018-02-06_final
2018-02-15 11:28:41	ga_ls8c_ard_3-0-0_111081_2018-02-15_final
2018-02-27 11:51:43	ga_ls8c_ard_3-0-0_115077_2018-02-27_final
2018-05-27 11:45:53	ga_ls8c_ard_3-0-0_114080_2018-05-27_final
2018-06-16 11:16:01	ga_ls8c_ard_3-0-0_110067_2018-06-16_final
2018-12-18 11:14:24	ga_ls8c_ard_3-0-0_109076_2018-12-18_final
2019-02-25 11:31:58	ga_ls8c_ard_3-0-0_112074_2019-02-25_final
2019-02-27 11:20:00	ga_ls8c_ard_3-0-0_110075_2019-02-27_final
2019-03-02 11:51:41	ga_ls8c_ard_3-0-0_115077_2019-03-02_final
2019-03-22 11:29:15	ga_ls8c_ard_3-1-0_111083_2019-03-22_final
2019-11-08 11:32:38	ga_ls8c_ard_3-1-0_112074_2019-11-08_final
2019-12-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2019-12-15_final
2020-01-11 11:31:39	ga_ls8c_ard_3-1-0_112072_2020-01-11_final
2020-03-10 11:14:25	ga_ls8c_ard_3-1-0_109076_2020-03-10_final
2020-04-02 11:18:00	ga_ls8c_ard_3-1-0_110070_2020-04-02_final
2020-08-24 11:20:24	ga_ls8c_ard_3-1-0_110075_2020-08-24_final
2020-11-24 11:45:21	ga_ls8c_ard_3-1-0_114075_2020-11-24_final
2021-01-05 10:43:05	ga_ls8c_ard_3-2-0_104074_2021-01-05_final
2021-02-04 09:16:49	ga_ls8c_ard_3-2-0_090075_2021-02-03_final
2021-02-16 09:40:18	ga_ls8c_ard_3-2-0_094072_2021-02-16_final
2021-02-18 11:07:12	ga_ls8c_ard_3-2-0_108073_2021-02-18_final
2021-02-24 10:28:06	ga_ls8c_ard_3-2-0_102068_2021-02-24_final
2021-04-01 11:45:36	ga_ls8c_ard_3-2-0_114077_2021-04-01_final
2021-04-17 10:09:01	ga_ls8c_ard_3-2-0_098083_2021-04-17_final
2021-04-28 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-04-28_final
2021-05-30 09:51:43	ga_ls8c_ard_3-2-0_095086_2021-05-30_final
2021-06-10 11:10:33	ga_ls8c_ard_3-2-0_108082_2021-06-10_final
2021-07-01 11:29:58	ga_ls8c_ard_3-2-0_111084_2021-07-01_final
2021-08-05 10:21:23	ga_ls8c_ard_3-2-0_100082_2021-08-05_final
2021-08-14 10:10:04	ga_ls8c_ard_3-2-0_099069_2021-08-14_final
2021-08-18 11:23:27	ga_ls8c_ard_3-2-0_111067_2021-08-18_final
2021-08-23 10:03:56	ga_ls8c_ard_3-2-0_098069_2021-08-23_final
2021-09-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2021-09-15_final
2021-09-16 10:53:05	ga_ls8c_ard_3-2-0_106068_2021-09-16_final
2021-09-23 09:27:58	ga_ls8c_ard_3-2-0_091087_2021-09-22_final
2021-11-11 10:08:31	ga_ls8c_ard_3-2-0_098080_2021-11-11_final
2021-11-22 09:45:57	ga_ls8c_ard_3-2-0_095070_2021-11-22_final
2021-12-05 09:22:15	ga_ls8c_ard_3-2-0_090088_2021-12-04_final
2021-12-06 09:57:08	ga_ls8c_ard_3-2-1_097067_2021-12-06_final
2021-12-31 11:31:43	ga_ls8c_ard_3-2-1_112072_2021-12-31_final
2022-01-18 09:40:50	ga_ls8c_ard_3-2-1_094073_2022-01-18_final
2022-01-22 09:21:16	ga_ls8c_ard_3-2-1_090086_2022-01-21_final
2022-02-26 09:46:02	ga_ls8c_ard_3-2-1_095071_2022-02-26_final
2022-07-25 10:10:05	ga_ls8c_ard_3-2-1_098084_2022-07-25_final
2022-08-17 11:52:32	ga_ls8c_ard_3-2-1_115077_2022-08-17_final
2022-08-21 11:24:14	ga_ls8c_ard_3-2-1_111068_2022-08-21_final
2022-09-06 11:26:39	ga_ls8c_ard_3-2-1_111074_2022-09-06_final
2022-09-12 10:49:37	ga_ls8c_ard_3-2-1_105074_2022-09-12_final
2022-09-25 10:18:45	ga_ls8c_ard_3-2-1_100074_2022-09-25_final
2022-10-10 11:15:28	ga_ls8c_ard_3-2-1_109077_2022-10-10_final
2022-10-15 09:58:17	ga_ls8c_ard_3-2-1_096085_2022-10-15_final
2022-10-16 10:34:46	ga_ls8c_ard_3-2-1_103068_2022-10-16_final
2022-10-22 11:42:14	ga_ls8c_ard_3-2-1_113082_2022-10-22_final
2022-11-18 09:41:32	ga_ls8c_ard_3-2-1_094074_2022-11-18_final
2022-11-18 11:23:36	ga_ls8c_ard_3-2-1_110082_2022-11-18_final
2022-12-22 09:33:26	ga_ls8c_ard_3-2-1_092085_2022-12-22_final
2023-01-07 11:06:45	ga_ls8c_ard_3-2-1_108071_2023-01-07_final
2023-01-25 10:55:33	ga_ls8c_ard_3-2-1_106074_2023-01-25_final
2023-03-16 10:42:23	ga_ls8c_ard_3-2-1_104073_2023-03-16_final
2023-04-13 11:05:30	ga_ls8c_ard_3-2-1_108070_2023-04-13_final
2023-04-30 10:08:37	ga_ls8c_ard_3-2-1_099067_2023-04-30_final
2023-04-30 10:09:01	ga_ls8c_ard_3-2-1_099068_2023-04-30_final
2023-05-16 10:09:12	ga_ls8c_ard_3-2-1_099069_2023-05-16_final
2023-06-23 09:38:18	ga_ls8c_ard_3-2-1_093084_2023-06-23_final
2023-07-11 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-07-10_final
2023-09-29 09:25:00	ga_ls8c_ard_3-2-1_091080_2023-09-28_final
2023-10-08 09:17:38	ga_ls8c_ard_3-2-1_090077_2023-10-07_final
2023-10-11 11:25:51	ga_ls8c_ard_3-2-1_111073_2023-10-11_final
2023-11-14 09:34:37	ga_ls8c_ard_3-2-1_093073_2023-11-14_final
2023-11-14 09:39:25	ga_ls8c_ard_3-2-1_093085_2023-11-14_final
2023-11-24 11:53:03	ga_ls8c_ard_3-2-1_115079_2023-11-24_final
2023-12-02 09:22:16	ga_ls8c_ard_3-2-1_091073_2023-12-01_final
2023-12-12 11:37:48	ga_ls8c_ard_3-2-1_113072_2023-12-12_final
2023-12-25 09:28:52	ga_ls8c_ard_3-2-1_092074_2023-12-24_final
2024-01-16 10:30:35	ga_ls8c_ard_3-2-1_102074_2024-01-16_final
2024-01-29 09:57:12	ga_ls8c_ard_3-2-1_097068_2024-01-29_final
2024-02-06 09:16:12	ga_ls8c_ard_3-2-1_089089_2024-02-05_final
2024-02-09 11:19:37	ga_ls8c_ard_3-2-1_110073_2024-02-09_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