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
2013-05-21 10:56:01	ga_ls8c_ard_3-0-0_106071_2013-05-21_final
2013-12-30 10:10:33	ga_ls8c_ard_3-0-0_099067_2013-12-30_final
2014-05-29 11:13:41	ga_ls8c_ard_3-0-0_109075_2014-05-29_final
2014-06-19 09:56:41	ga_ls8c_ard_3-0-0_096083_2014-06-19_final
2014-09-23 11:32:21	ga_ls8c_ard_3-0-0_112074_2014-09-23_final
2014-11-10 09:50:49	ga_ls8c_ard_3-0-0_096067_2014-11-10_final
2014-12-05 11:24:39	ga_ls8c_ard_3-0-0_111070_2014-12-05_final
2014-12-26 10:09:50	ga_ls8c_ard_3-0-0_098084_2014-12-26_final
2015-01-18 10:09:56	ga_ls8c_ard_3-0-0_099069_2015-01-18_final
2015-01-18 10:11:08	ga_ls8c_ard_3-0-0_099072_2015-01-18_final
2015-01-31 11:17:04	ga_ls8c_ard_3-0-0_110067_2015-01-31_final
2015-03-23 10:13:04	ga_ls8c_ard_3-0-0_099078_2015-03-23_final
2015-04-20 10:33:37	ga_ls8c_ard_3-0-0_103068_2015-04-20_final
2015-05-19 10:08:46	ga_ls8c_ard_3-0-0_098084_2015-05-19_final
2015-06-04 10:06:30	ga_ls8c_ard_3-0-0_098078_2015-06-04_final
2015-09-06 10:19:08	ga_ls8c_ard_3-0-0_100077_2015-09-06_final
2015-11-18 10:13:39	ga_ls8c_ard_3-0-0_099078_2015-11-18_final
2015-11-29 11:30:49	ga_ls8c_ard_3-0-0_112070_2015-11-29_final
2015-12-27 10:19:26	ga_ls8c_ard_3-0-0_100077_2015-12-27_final
2016-01-12 10:19:22	ga_ls8c_ard_3-0-0_100077_2016-01-12_final
2016-01-21 11:51:17	ga_ls8c_ard_3-0-0_115075_2016-01-21_final
2016-02-29 10:19:36	ga_ls8c_ard_3-0-0_100078_2016-02-29_final
2016-04-01 10:18:57	ga_ls8c_ard_3-0-0_100077_2016-04-01_final
2016-05-11 11:05:53	ga_ls8c_ard_3-0-0_108071_2016-05-11_final
2016-08-02 11:42:03	ga_ls8c_ard_3-0-0_113083_2016-08-02_final
2016-09-01 10:16:30	ga_ls8c_ard_3-0-0_099085_2016-09-01_final
2016-09-08 10:19:31	ga_ls8c_ard_3-0-0_100077_2016-09-08_final
2016-09-17 10:10:10	ga_ls8c_ard_3-0-0_099069_2016-09-17_final
2016-09-24 10:19:32	ga_ls8c_ard_3-0-0_100077_2016-09-24_final
2016-11-22 09:57:31	ga_ls8c_ard_3-0-0_097068_2016-11-22_final
2017-03-07 09:50:24	ga_ls8c_ard_3-0-0_096067_2017-03-07_final
2017-03-08 10:35:38	ga_ls8c_ard_3-0-0_103072_2017-03-08_final
2017-05-16 10:55:01	ga_ls8c_ard_3-0-0_106075_2017-05-16_final
2017-05-26 11:31:01	ga_ls8c_ard_3-0-0_112072_2017-05-26_final
2017-07-15 11:17:44	ga_ls8c_ard_3-0-0_110069_2017-07-15_final
2017-12-06 11:18:03	ga_ls8c_ard_3-0-0_110069_2017-12-06_final
2017-12-16 10:21:52	ga_ls8c_ard_3-0-0_100083_2017-12-16_final
2018-02-08 11:16:57	ga_ls8c_ard_3-0-0_110067_2018-02-08_final
2018-03-26 11:30:58	ga_ls8c_ard_3-0-0_112072_2018-03-26_final
2018-04-22 11:12:58	ga_ls8c_ard_3-0-0_109074_2018-04-22_final
2018-07-17 10:38:37	ga_ls8c_ard_3-0-0_103081_2018-07-17_final
2018-07-20 11:07:09	ga_ls8c_ard_3-0-0_108075_2018-07-20_final
2018-08-05 11:09:17	ga_ls8c_ard_3-0-0_108080_2018-08-05_final
2018-09-04 11:17:29	ga_ls8c_ard_3-0-0_110069_2018-09-04_final
2018-10-20 11:31:20	ga_ls8c_ard_3-0-0_112072_2018-10-20_final
2019-01-14 10:53:26	ga_ls8c_ard_3-0-0_106070_2019-01-14_final
2019-07-04 10:39:21	ga_ls8c_ard_3-1-0_103081_2019-07-04_final
2019-08-15 11:14:39	ga_ls8c_ard_3-1-0_109076_2019-08-15_final
2019-08-24 11:08:07	ga_ls8c_ard_3-1-0_108075_2019-08-24_final
2019-09-21 09:57:41	ga_ls8c_ard_3-1-0_096084_2019-09-21_final
2019-10-05 10:10:06	ga_ls8c_ard_3-1-0_098084_2019-10-05_final
2019-10-22 10:47:00	ga_ls8c_ard_3-1-0_105068_2019-10-22_final
2019-10-28 10:11:07	ga_ls8c_ard_3-1-0_099071_2019-10-28_final
2020-01-25 10:05:28	ga_ls8c_ard_3-1-0_098073_2020-01-25_final
2020-02-18 10:52:49	ga_ls8c_ard_3-1-0_106068_2020-02-18_final
2020-02-26 10:04:08	ga_ls8c_ard_3-1-0_098070_2020-02-26_final
2020-02-28 11:35:02	ga_ls8c_ard_3-1-0_112081_2020-02-28_final
2020-08-15 11:26:06	ga_ls8c_ard_3-1-0_111074_2020-08-15_final
2020-08-26 09:27:58	ga_ls8c_ard_3-1-0_092072_2020-08-25_final
2020-08-27 10:08:51	ga_ls8c_ard_3-2-1_099066_2020-08-27_final
2020-09-19 11:58:51	ga_ls8c_ard_3-1-0_116078_2020-09-19_final
2020-10-24 10:48:08	ga_ls8c_ard_3-1-0_105071_2020-10-24_final
2021-01-13 09:50:47	ga_ls8c_ard_3-2-0_096067_2021-01-13_final
2021-01-29 09:58:18	ga_ls8c_ard_3-2-0_096086_2021-01-29_final
2021-03-07 11:51:08	ga_ls8c_ard_3-2-0_115075_2021-03-07_final
2021-04-10 11:37:22	ga_ls8c_ard_3-2-0_113072_2021-04-10_final
2021-04-11 09:06:27	ga_ls8c_ard_3-2-0_088081_2021-04-10_final
2021-05-01 10:18:27	ga_ls8c_ard_3-2-0_100076_2021-05-01_final
2021-07-10 11:23:00	ga_ls8c_ard_3-2-0_110082_2021-07-10_final
2021-08-04 09:34:07	ga_ls8c_ard_3-2-0_093072_2021-08-04_final
2021-08-13 09:33:59	ga_ls8c_ard_3-2-0_092087_2021-08-13_final
2021-09-05 09:39:53	ga_ls8c_ard_3-2-0_093086_2021-09-05_final
2021-09-27 10:36:10	ga_ls8c_ard_3-2-0_103072_2021-09-27_final
2021-10-16 09:32:41	ga_ls8c_ard_3-2-0_092083_2021-10-16_final
2021-12-05 09:21:51	ga_ls8c_ard_3-2-0_090087_2021-12-04_final
2021-12-10 11:12:05	ga_ls8c_ard_3-2-1_109069_2021-12-10_final
2021-12-25 10:28:46	ga_ls8c_ard_3-2-1_102069_2021-12-25_final
2021-12-28 09:21:57	ga_ls8c_ard_3-2-1_091072_2021-12-27_final
2022-01-22 09:18:05	ga_ls8c_ard_3-2-1_090078_2022-01-21_final
2022-02-08 11:38:34	ga_ls8c_ard_3-2-1_113074_2022-02-08_final
2022-04-27 10:09:42	ga_ls8c_ard_3-2-1_099069_2022-04-27_final
2022-05-21 09:22:49	ga_ls8c_ard_3-2-1_091075_2022-05-20_final
2022-05-29 10:08:40	ga_ls8c_ard_3-2-1_099066_2022-05-29_final
2022-06-04 09:34:05	ga_ls8c_ard_3-2-1_093072_2022-06-04_final
2022-07-22 11:14:02	ga_ls8c_ard_3-2-1_109074_2022-07-22_final
2022-09-09 10:20:17	ga_ls8c_ard_3-2-1_100078_2022-09-09_final
2022-10-02 10:24:55	ga_ls8c_ard_3-2-1_101074_2022-10-02_final
2022-10-03 11:08:58	ga_ls8c_ard_3-2-1_108076_2022-10-03_final
2022-10-21 09:17:41	ga_ls8c_ard_3-2-1_090076_2022-10-20_final
2022-12-06 09:33:36	ga_ls8c_ard_3-2-1_092085_2022-12-06_final
2022-12-08 10:56:08	ga_ls8c_ard_3-2-1_106075_2022-12-08_final
2023-01-25 09:17:28	ga_ls8c_ard_3-2-1_090076_2023-01-24_final
2023-02-20 09:51:58	ga_ls8c_ard_3-2-1_096070_2023-02-20_final
2023-03-01 11:24:33	ga_ls8c_ard_3-2-1_111070_2023-03-01_final
2023-05-14 10:27:09	ga_ls8c_ard_3-2-1_101083_2023-05-14_final
2023-07-16 09:39:32	ga_ls8c_ard_3-2-1_094071_2023-07-16_final
2023-08-10 11:13:35	ga_ls8c_ard_3-2-1_109074_2023-08-10_final
2023-08-17 11:17:51	ga_ls8c_ard_3-2-1_110069_2023-08-17_final
2023-09-02 09:40:37	ga_ls8c_ard_3-2-1_094073_2023-09-02_final
2024-01-06 11:31:57	ga_ls8c_ard_3-2-1_112073_2024-01-06_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