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
2013-06-02 11:24:45	ga_ls8c_ard_3-0-0_110081_2013-06-02_final
2013-06-20 11:11:04	ga_ls8c_ard_3-0-0_108078_2013-06-20_final
2013-06-23 11:41:58	ga_ls8c_ard_3-0-0_113078_2013-06-23_final
2013-07-04 11:24:17	ga_ls8c_ard_3-0-0_110080_2013-07-04_final
2013-07-09 11:42:02	ga_ls8c_ard_3-0-0_113078_2013-07-09_final
2013-07-29 11:17:19	ga_ls8c_ard_3-0-0_109078_2013-07-29_final
2013-07-29 11:17:43	ga_ls8c_ard_3-0-0_109079_2013-07-29_final
2013-08-19 11:35:05	ga_ls8c_ard_3-0-0_112076_2013-08-19_final
2013-08-24 11:54:51	ga_ls8c_ard_3-0-0_115079_2013-08-24_final
2013-10-13 11:43:07	ga_ls8c_ard_3-0-0_113081_2013-10-13_final
2013-10-17 11:19:10	ga_ls8c_ard_3-0-0_109083_2013-10-17_final
2013-10-22 11:36:51	ga_ls8c_ard_3-0-0_112081_2013-10-22_final
2013-10-22 11:37:15	ga_ls8c_ard_3-0-0_112082_2013-10-22_final
2013-10-29 11:44:09	ga_ls8c_ard_3-0-0_113084_2013-10-29_final
2013-11-16 11:31:22	ga_ls8c_ard_3-0-0_111083_2013-11-16_final
2014-02-25 11:48:08	ga_ls8c_ard_3-0-0_114081_2014-02-25_final
2014-05-11 11:26:53	ga_ls8c_ard_3-0-0_111077_2014-05-11_final
2014-05-11 11:27:40	ga_ls8c_ard_3-0-0_111079_2014-05-11_final
2014-05-16 11:46:57	ga_ls8c_ard_3-0-0_114081_2014-05-16_final
2014-06-03 11:33:53	ga_ls8c_ard_3-0-0_112079_2014-06-03_final
2014-06-03 11:34:17	ga_ls8c_ard_3-0-0_112080_2014-06-03_final
2014-06-05 11:17:33	ga_ls8c_ard_3-0-0_110069_2014-06-05_final
2014-06-05 11:21:09	ga_ls8c_ard_3-0-0_110078_2014-06-05_final
2014-06-19 11:33:35	ga_ls8c_ard_3-0-0_112078_2014-06-19_final
2014-06-21 11:21:37	ga_ls8c_ard_3-0-0_110079_2014-06-21_final
2014-06-28 11:27:24	ga_ls8c_ard_3-0-0_111078_2014-06-28_final
2014-06-30 11:11:53	ga_ls8c_ard_3-0-0_109070_2014-06-30_final
2014-07-05 11:33:40	ga_ls8c_ard_3-0-0_112078_2014-07-05_final
2014-07-05 11:34:04	ga_ls8c_ard_3-0-0_112079_2014-07-05_final
2014-07-12 11:40:42	ga_ls8c_ard_3-0-0_113080_2014-07-12_final
2014-07-21 11:33:44	ga_ls8c_ard_3-0-0_112078_2014-07-21_final
2014-07-25 11:10:37	ga_ls8c_ard_3-0-0_108082_2014-07-25_final
2014-08-04 11:47:01	ga_ls8c_ard_3-0-0_114080_2014-08-04_final
2014-08-06 11:33:53	ga_ls8c_ard_3-0-0_112078_2014-08-06_final
2014-08-10 11:09:11	ga_ls8c_ard_3-0-0_108078_2014-08-10_final
2014-08-17 11:16:11	ga_ls8c_ard_3-0-0_109080_2014-08-17_final
2014-08-17 11:16:35	ga_ls8c_ard_3-0-0_109081_2014-08-17_final
2014-08-26 11:09:13	ga_ls8c_ard_3-0-0_108078_2014-08-26_final
2014-09-09 11:18:27	ga_ls8c_ard_3-0-0_110070_2014-09-09_final
2014-09-09 11:22:50	ga_ls8c_ard_3-0-0_110081_2014-09-09_final
2014-09-11 11:09:17	ga_ls8c_ard_3-0-0_108078_2014-09-11_final
2014-09-27 11:09:15	ga_ls8c_ard_3-0-0_108078_2014-09-27_final
2014-10-02 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-10-02_final
2015-01-01 11:08:46	ga_ls8c_ard_3-0-0_108077_2015-01-01_final
2015-01-17 11:08:45	ga_ls8c_ard_3-0-0_108077_2015-01-17_final
2015-03-27 11:26:47	ga_ls8c_ard_3-0-0_111077_2015-03-27_final
2015-04-03 11:31:14	ga_ls8c_ard_3-0-0_112073_2015-04-03_final
2015-07-24 11:32:40	ga_ls8c_ard_3-0-0_112076_2015-07-24_final
2015-09-19 11:29:14	ga_ls8c_ard_3-0-0_111082_2015-09-19_final
2015-11-11 11:47:31	ga_ls8c_ard_3-0-0_114081_2015-11-11_final
2016-02-13 11:57:21	ga_ls8c_ard_3-0-0_116075_2016-02-13_final
2016-02-13 11:57:45	ga_ls8c_ard_3-0-0_116076_2016-02-13_final
2016-05-05 11:47:02	ga_ls8c_ard_3-0-0_114081_2016-05-05_final
2016-07-26 11:31:52	ga_ls8c_ard_3-0-0_112073_2016-07-26_final
2016-07-28 11:17:55	ga_ls8c_ard_3-0-0_110069_2016-07-28_final
2016-08-11 11:30:42	ga_ls8c_ard_3-0-0_112070_2016-08-11_final
2016-08-27 11:32:01	ga_ls8c_ard_3-0-0_112073_2016-08-27_final
2016-09-03 11:37:51	ga_ls8c_ard_3-0-0_113072_2016-09-03_final
2016-09-12 11:30:06	ga_ls8c_ard_3-0-0_112068_2016-09-12_final
2016-09-21 11:24:20	ga_ls8c_ard_3-0-0_111069_2016-09-21_final
2016-09-30 11:18:32	ga_ls8c_ard_3-0-0_110070_2016-09-30_final
2017-07-17 11:11:23	ga_ls8c_ard_3-0-0_108084_2017-07-17_final
2017-12-20 11:30:28	ga_ls8c_ard_3-0-0_112069_2017-12-20_final
2018-01-05 11:32:00	ga_ls8c_ard_3-0-0_112073_2018-01-05_final
2018-10-04 11:34:01	ga_ls8c_ard_3-0-0_112079_2018-10-04_final
2018-12-16 08:10:35	ga_ls8c_ard_3-2-1_079080_2018-12-15_final
2018-12-20 12:37:20	ga_ls8c_ard_3-2-1_123067_2018-12-20_final
2019-01-17 11:23:31	ga_ls8c_ard_3-0-0_111068_2019-01-17_final
2019-04-14 11:29:21	ga_ls8c_ard_3-1-0_112068_2019-04-14_final
2019-08-04 11:36:20	ga_ls8c_ard_3-1-0_112084_2019-08-04_final
2020-02-05 08:10:46	ga_ls8c_ard_3-2-1_079080_2020-02-04_final
2020-03-21 12:31:05	ga_ls8c_ard_3-2-1_122067_2020-03-21_final
2020-08-19 09:26:31	ga_ls8c_ard_3-1-0_091084_2020-08-18_final
2020-10-02 08:11:02	ga_ls8c_ard_3-2-1_079080_2020-10-01_final
2021-01-10 09:23:30	ga_ls8c_ard_3-2-0_091076_2021-01-09_final
2021-01-15 11:24:04	ga_ls8c_ard_3-2-0_110084_2021-01-15_final
2021-07-14 12:31:11	ga_ls8c_ard_3-2-1_122067_2021-07-14_final
2021-08-08 10:52:18	ga_ls8c_ard_3-2-0_105082_2021-08-08_final
2021-08-20 09:32:37	ga_ls8c_ard_3-2-0_093068_2021-08-20_final
2021-09-04 10:31:30	ga_ls8c_ard_3-2-0_102076_2021-09-04_final
2021-10-11 09:14:07	ga_ls8c_ard_3-2-0_089083_2021-10-10_final
2021-10-23 09:34:05	ga_ls8c_ard_3-2-0_093071_2021-10-23_final
2021-11-25 10:18:03	ga_ls8c_ard_3-2-0_100073_2021-11-25_final
2022-01-22 10:58:09	ga_ls8c_ard_3-2-1_106081_2022-01-22_final
2022-01-22 12:31:27	ga_ls8c_ard_3-2-1_122067_2022-01-22_final
2022-04-12 10:52:13	ga_ls8c_ard_3-2-1_106067_2022-04-12_final
2022-07-04 09:48:39	ga_ls8c_ard_3-2-1_095077_2022-07-04_final
2022-07-06 09:37:05	ga_ls8c_ard_3-2-1_093079_2022-07-06_final
2022-09-25 08:43:04	ga_ls8c_ard_3-2-1_084082_2022-09-24_final
2022-10-08 09:48:59	ga_ls8c_ard_3-2-1_095077_2022-10-08_final
2022-11-02 09:46:51	ga_ls8c_ard_3-2-1_094087_2022-11-02_final
2022-12-02 11:32:26	ga_ls8c_ard_3-2-1_112073_2022-12-02_final
2022-12-18 09:54:38	ga_ls8c_ard_3-2-1_096076_2022-12-18_final
2023-01-12 09:47:58	ga_ls8c_ard_3-2-1_095075_2023-01-12_final
2023-02-08 09:29:49	ga_ls8c_ard_3-2-1_092076_2023-02-07_final
2023-03-08 11:31:51	ga_ls8c_ard_3-2-1_112073_2023-03-08_final
2023-04-16 11:41:59	ga_ls8c_ard_3-2-1_113084_2023-04-16_final
2023-05-02 09:57:02	ga_ls8c_ard_3-2-1_097069_2023-05-02_final
2023-06-21 11:24:45	ga_ls8c_ard_3-2-1_111072_2023-06-21_final
2023-10-01 09:15:50	ga_ls8c_ard_3-2-1_089088_2023-09-30_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