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 11:23:52	ga_ls8c_ard_3-0-0_110079_2013-07-20_final
2013-10-29 11:39:21	ga_ls8c_ard_3-0-0_113072_2013-10-29_final
2014-05-29 11:16:53	ga_ls8c_ard_3-0-0_109083_2014-05-29_final
2014-09-25 11:23:58	ga_ls8c_ard_3-0-0_110084_2014-09-25_final
2014-11-05 11:12:45	ga_ls8c_ard_3-0-0_109071_2014-11-05_final
2014-12-05 11:25:51	ga_ls8c_ard_3-0-0_111073_2014-12-05_final
2015-07-10 11:22:36	ga_ls8c_ard_3-0-0_110082_2015-07-10_final
2015-11-06 11:25:48	ga_ls8c_ard_3-0-0_111073_2015-11-06_final
2016-01-25 11:26:34	ga_ls8c_ard_3-0-0_111075_2016-01-25_final
2016-03-09 11:51:52	ga_ls8c_ard_3-0-0_115077_2016-03-09_final
2016-07-01 11:37:30	ga_ls8c_ard_3-0-0_113072_2016-07-01_final
2016-07-03 11:27:33	ga_ls8c_ard_3-0-0_111078_2016-07-03_final
2016-10-14 11:35:23	ga_ls8c_ard_3-0-0_112081_2016-10-14_final
2017-01-27 11:30:10	ga_ls8c_ard_3-0-0_111084_2017-01-27_final
2017-01-29 11:13:48	ga_ls8c_ard_3-0-0_109074_2017-01-29_final
2017-02-26 11:35:32	ga_ls8c_ard_3-0-0_113067_2017-02-26_final
2017-05-01 11:41:43	ga_ls8c_ard_3-0-0_113084_2017-05-01_final
2017-06-29 11:18:53	ga_ls8c_ard_3-0-0_110072_2017-06-29_final
2017-08-23 11:29:45	ga_ls8c_ard_3-0-0_111083_2017-08-23_final
2017-09-26 11:16:19	ga_ls8c_ard_3-0-0_109080_2017-09-26_final
2017-12-04 11:33:13	ga_ls8c_ard_3-0-0_112076_2017-12-04_final
2017-12-22 11:18:31	ga_ls8c_ard_3-0-0_110070_2017-12-22_final
2017-12-24 11:07:44	ga_ls8c_ard_3-0-0_108074_2017-12-24_final
2017-12-25 11:52:35	ga_ls8c_ard_3-0-0_115078_2017-12-25_final
2018-02-15 11:26:41	ga_ls8c_ard_3-0-0_111076_2018-02-15_final
2018-07-09 11:28:00	ga_ls8c_ard_3-0-0_111081_2018-07-09_final
2018-07-12 11:57:44	ga_ls8c_ard_3-0-0_116078_2018-07-12_final
2018-10-06 11:18:53	ga_ls8c_ard_3-0-0_110072_2018-10-06_final
2018-10-29 11:25:11	ga_ls8c_ard_3-0-0_111072_2018-10-29_final
2019-03-13 11:31:04	ga_ls8c_ard_3-1-0_112072_2019-03-13_final
2019-06-26 11:24:22	ga_ls8c_ard_3-1-0_111070_2019-06-26_final
2019-11-20 11:58:30	ga_ls8c_ard_3-1-0_116077_2019-11-20_final
2019-12-19 11:25:10	ga_ls8c_ard_3-2-0_111071_2019-12-19_final
2019-12-26 11:30:55	ga_ls8c_ard_3-1-0_112070_2019-12-26_final
2020-02-21 11:24:54	ga_ls8c_ard_3-1-0_111071_2020-02-21_final
2020-03-22 11:38:15	ga_ls8c_ard_3-1-0_113074_2020-03-22_final
2020-04-18 11:23:04	ga_ls8c_ard_3-1-0_110083_2020-04-18_final
2020-05-04 11:18:09	ga_ls8c_ard_3-1-0_110071_2020-05-04_final
2020-05-27 11:26:20	ga_ls8c_ard_3-1-0_111076_2020-05-27_final
2020-07-14 11:29:09	ga_ls8c_ard_3-1-0_111082_2020-07-14_final
2020-09-18 11:16:47	ga_ls8c_ard_3-1-0_109081_2020-09-18_final
2020-11-12 11:17:23	ga_ls8c_ard_3-1-0_110067_2020-11-12_final
2020-11-15 10:09:01	ga_ls8c_ard_3-2-1_099066_2020-11-15_final
2020-12-14 11:23:27	ga_ls8c_ard_3-1-0_110082_2020-12-14_final
2021-01-03 09:18:10	ga_ls8c_ard_3-2-0_090078_2021-01-02_final
2021-01-19 09:22:50	ga_ls8c_ard_3-2-0_090090_2021-01-18_final
2021-02-13 09:11:48	ga_ls8c_ard_3-2-0_089078_2021-02-12_final
2021-02-15 10:38:19	ga_ls8c_ard_3-2-0_103078_2021-02-15_final
2021-02-23 11:25:19	ga_ls8c_ard_3-2-0_111072_2021-02-23_final
2021-03-08 10:55:06	ga_ls8c_ard_3-2-0_106074_2021-03-08_final
2021-03-18 11:35:41	ga_ls8c_ard_3-2-0_112083_2021-03-18_final
2021-04-29 10:27:38	ga_ls8c_ard_3-2-0_102068_2021-04-29_final
2021-05-05 09:57:16	ga_ls8c_ard_3-2-0_096085_2021-05-05_final
2021-06-22 09:52:03	ga_ls8c_ard_3-2-0_096071_2021-06-22_final
2021-07-02 10:27:58	ga_ls8c_ard_3-2-0_102068_2021-07-02_final
2021-08-04 09:33:43	ga_ls8c_ard_3-2-0_093071_2021-08-04_final
2021-08-24 10:46:48	ga_ls8c_ard_3-2-0_105068_2021-08-24_final
2021-09-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2021-09-15_final
2021-09-30 09:31:48	ga_ls8c_ard_3-2-0_092081_2021-09-30_final
2021-10-05 11:25:40	ga_ls8c_ard_3-2-0_111072_2021-10-05_final
2021-10-10 10:03:45	ga_ls8c_ard_3-2-0_098068_2021-10-10_final
2021-12-12 09:24:02	ga_ls8c_ard_3-2-1_091077_2021-12-11_final
2022-02-01 09:57:55	ga_ls8c_ard_3-2-1_096085_2022-02-01_final
2022-03-27 10:53:46	ga_ls8c_ard_3-2-1_106071_2022-03-27_final
2022-04-03 09:24:37	ga_ls8c_ard_3-2-1_091080_2022-04-02_final
2022-04-06 11:31:14	ga_ls8c_ard_3-2-1_112072_2022-04-06_final
2022-04-29 10:03:18	ga_ls8c_ard_3-2-1_097084_2022-04-29_final
2022-07-04 11:25:08	ga_ls8c_ard_3-2-1_111071_2022-07-04_final
2022-07-05 10:29:07	ga_ls8c_ard_3-2-1_102070_2022-07-05_final
2022-08-03 09:58:24	ga_ls8c_ard_3-2-1_097070_2022-08-03_final
2022-08-31 10:23:37	ga_ls8c_ard_3-2-1_101071_2022-08-31_final
2022-09-03 10:53:43	ga_ls8c_ard_3-2-1_106069_2022-09-03_final
2022-09-10 09:25:52	ga_ls8c_ard_3-2-1_091081_2022-09-09_final
2022-10-03 09:34:04	ga_ls8c_ard_3-2-1_092086_2022-10-03_final
2022-10-13 11:45:07	ga_ls8c_ard_3-2-1_114074_2022-10-13_final
2022-10-14 09:13:00	ga_ls8c_ard_3-2-1_089080_2022-10-13_final
2022-10-23 10:46:37	ga_ls8c_ard_3-2-1_104082_2022-10-23_final
2022-11-14 11:47:59	ga_ls8c_ard_3-2-1_114081_2022-11-14_final
2022-12-02 11:36:49	ga_ls8c_ard_3-2-1_112084_2022-12-02_final
2022-12-05 10:28:02	ga_ls8c_ard_3-2-1_101082_2022-12-05_final
2022-12-07 10:09:41	ga_ls8c_ard_3-2-1_099067_2022-12-07_final
2023-02-08 09:31:49	ga_ls8c_ard_3-2-1_092081_2023-02-08_final
2023-02-13 09:50:41	ga_ls8c_ard_3-2-1_095082_2023-02-13_final
2023-02-18 10:08:21	ga_ls8c_ard_3-2-1_098080_2023-02-18_final
2023-02-24 09:33:08	ga_ls8c_ard_3-2-1_092085_2023-02-24_final
2023-03-03 11:13:22	ga_ls8c_ard_3-2-1_109073_2023-03-03_final
2023-03-06 10:08:09	ga_ls8c_ard_3-2-1_098080_2023-03-06_final
2023-03-14 09:20:40	ga_ls8c_ard_3-2-1_090085_2023-03-13_final
2023-04-07 10:04:12	ga_ls8c_ard_3-2-1_098071_2023-04-07_final
2023-05-17 09:16:45	ga_ls8c_ard_3-2-1_090077_2023-05-16_final
2023-05-17 10:53:38	ga_ls8c_ard_3-2-1_106072_2023-05-17_final
2023-06-17 11:51:28	ga_ls8c_ard_3-2-1_115077_2023-06-17_final
2023-06-21 09:47:04	ga_ls8c_ard_3-2-1_095075_2023-06-21_final
2023-08-09 10:29:55	ga_ls8c_ard_3-2-1_102073_2023-08-09_final
2023-09-21 11:52:28	ga_ls8c_ard_3-2-1_115078_2023-09-21_final
2023-09-22 10:58:26	ga_ls8c_ard_3-2-1_106082_2023-09-22_final
2023-10-05 10:27:11	ga_ls8c_ard_3-2-1_101081_2023-10-05_final
2023-11-21 11:20:33	ga_ls8c_ard_3-2-1_110075_2023-11-21_final
2023-12-04 09:14:39	ga_ls8c_ard_3-2-1_089085_2023-12-03_final
2023-12-18 09:27:29	ga_ls8c_ard_3-2-1_091086_2023-12-17_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