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
2013-05-23 09:08:46	ga_ls8c_ard_3-1-0_088081_2013-05-22_final
2013-06-08 09:09:10	ga_ls8c_ard_3-0-0_088082_2013-06-07_final
2013-06-18 09:40:10	ga_ls8c_ard_3-0-0_094067_2013-06-18_final
2013-08-21 09:40:16	ga_ls8c_ard_3-0-0_094067_2013-08-21_final
2013-12-11 09:44:36	ga_ls8c_ard_3-0-0_094079_2013-12-11_final
2013-12-18 09:47:54	ga_ls8c_ard_3-0-0_095072_2013-12-18_final
2013-12-27 09:39:40	ga_ls8c_ard_3-0-0_094067_2013-12-27_final
2014-10-01 09:07:17	ga_ls8c_ard_3-0-0_088082_2014-09-30_final
2015-01-31 09:40:34	ga_ls8c_ard_3-0-0_094073_2015-01-31_final
2015-02-05 11:37:34	ga_ls8c_ard_3-0-0_113072_2015-02-05_final
2015-03-27 09:51:29	ga_ls8c_ard_3-0-0_095086_2015-03-27_final
2015-04-12 09:44:59	ga_ls8c_ard_3-0-0_095070_2015-04-12_final
2015-06-02 11:56:31	ga_ls8c_ard_3-0-0_116075_2015-06-02_final
2015-06-06 11:29:52	ga_ls8c_ard_3-0-0_112070_2015-06-06_final
2015-07-24 11:35:51	ga_ls8c_ard_3-0-0_112084_2015-07-24_final
2015-08-11 09:37:54	ga_ls8c_ard_3-0-0_094067_2015-08-11_final
2015-11-22 11:25:50	ga_ls8c_ard_3-0-0_111073_2015-11-22_final
2016-02-10 11:25:41	ga_ls8c_ard_3-0-0_111073_2016-02-10_final
2016-02-25 09:06:14	ga_ls8c_ard_3-0-0_088080_2016-02-24_final
2016-03-04 11:31:21	ga_ls8c_ard_3-0-0_112072_2016-03-04_final
2016-03-12 09:06:11	ga_ls8c_ard_3-0-0_088080_2016-03-11_final
2016-04-28 11:41:36	ga_ls8c_ard_3-0-0_113083_2016-04-28_final
2016-09-26 11:42:04	ga_ls8c_ard_3-0-0_114067_2016-09-26_final
2017-01-27 09:46:53	ga_ls8c_ard_3-0-0_095073_2017-01-27_final
2017-02-10 11:38:24	ga_ls8c_ard_3-0-0_113074_2017-02-10_final
2017-03-09 09:38:01	ga_ls8c_ard_3-0-0_094067_2017-03-09_final
2017-03-16 09:52:06	ga_ls8c_ard_3-0-0_095087_2017-03-16_final
2017-04-26 09:39:09	ga_ls8c_ard_3-0-0_094071_2017-04-26_final
2017-06-04 09:52:01	ga_ls8c_ard_3-0-0_095087_2017-06-04_final
2017-07-31 09:38:11	ga_ls8c_ard_3-0-0_094067_2017-07-31_final
2017-11-04 09:40:07	ga_ls8c_ard_3-0-0_094071_2017-11-04_final
2018-02-20 11:41:37	ga_ls8c_ard_3-0-0_114067_2018-02-20_final
2018-05-11 11:44:53	ga_ls8c_ard_3-0-0_114077_2018-05-11_final
2018-05-21 09:06:04	ga_ls8c_ard_3-0-0_088082_2018-05-20_final
2018-05-29 11:29:06	ga_ls8c_ard_3-0-0_112069_2018-05-29_final
2018-07-05 11:52:17	ga_ls8c_ard_3-0-0_115080_2018-07-05_final
2018-11-30 11:26:00	ga_ls8c_ard_3-0-0_111074_2018-11-30_final
2019-02-16 11:37:23	ga_ls8c_ard_3-0-0_113072_2019-02-16_final
2019-04-14 11:31:44	ga_ls8c_ard_3-1-0_112074_2019-04-14_final
2019-08-13 09:46:32	ga_ls8c_ard_3-1-0_095072_2019-08-13_final
2020-01-16 11:53:22	ga_ls8c_ard_3-1-0_115080_2020-01-16_final
2020-10-02 09:46:19	ga_ls8c_ard_3-1-0_095071_2020-10-02_final
2020-10-11 09:38:34	ga_ls8c_ard_3-1-0_094067_2020-10-11_final
2020-10-14 11:53:32	ga_ls8c_ard_3-1-0_115080_2020-10-14_final
2021-03-09 09:58:17	ga_ls8c_ard_3-2-0_097071_2021-03-09_final
2021-04-15 11:57:05	ga_ls8c_ard_3-2-0_116075_2021-04-15_final
2021-04-24 10:15:08	ga_ls8c_ard_3-2-0_099083_2021-04-24_final
2021-04-24 11:50:49	ga_ls8c_ard_3-2-0_115075_2021-04-24_final
2021-05-02 09:26:24	ga_ls8c_ard_3-2-0_091085_2021-05-01_final
2021-05-03 10:06:52	ga_ls8c_ard_3-2-0_098078_2021-05-03_final
2021-05-18 09:22:06	ga_ls8c_ard_3-2-0_091074_2021-05-17_final
2021-06-03 09:27:26	ga_ls8c_ard_3-2-0_091087_2021-06-02_final
2021-06-08 09:44:48	ga_ls8c_ard_3-2-0_094084_2021-06-08_final
2021-06-16 10:29:06	ga_ls8c_ard_3-2-0_102071_2021-06-16_final
2021-06-19 09:22:44	ga_ls8c_ard_3-2-0_091075_2021-06-18_final
2021-06-21 09:11:11	ga_ls8c_ard_3-2-0_089077_2021-06-20_final
2021-06-29 09:56:40	ga_ls8c_ard_3-2-0_097067_2021-06-29_final
2021-07-06 10:07:14	ga_ls8c_ard_3-2-0_098078_2021-07-06_final
2021-07-08 11:30:11	ga_ls8c_ard_3-2-0_112069_2021-07-08_final
2021-08-12 10:27:36	ga_ls8c_ard_3-2-0_101082_2021-08-12_final
2021-08-27 11:17:19	ga_ls8c_ard_3-2-0_110067_2021-08-27_final
2021-09-08 11:47:41	ga_ls8c_ard_3-2-0_114081_2021-09-08_final
2021-10-09 11:02:10	ga_ls8c_ard_3-2-0_107075_2021-10-09_final
2021-10-23 11:14:57	ga_ls8c_ard_3-2-0_109076_2021-10-23_final
2021-11-08 09:38:02	ga_ls8c_ard_3-2-0_093081_2021-11-08_final
2021-11-08 11:12:08	ga_ls8c_ard_3-2-0_109069_2021-11-08_final
2021-11-11 10:08:07	ga_ls8c_ard_3-2-0_098079_2021-11-11_final
2021-12-19 09:29:23	ga_ls8c_ard_3-2-1_092075_2021-12-18_final
2021-12-30 09:16:22	ga_ls8c_ard_3-2-1_089089_2021-12-29_final
2022-01-10 10:29:06	ga_ls8c_ard_3-2-1_102070_2022-01-10_final
2022-01-19 10:23:17	ga_ls8c_ard_3-2-1_101071_2022-01-19_final
2022-02-02 10:35:11	ga_ls8c_ard_3-2-1_103070_2022-02-02_final
2022-02-07 10:55:42	ga_ls8c_ard_3-2-1_106075_2022-02-07_final
2022-02-16 09:16:34	ga_ls8c_ard_3-2-1_089090_2022-02-15_final
2022-02-26 11:25:43	ga_ls8c_ard_3-2-1_111073_2022-02-26_final
2022-03-21 11:36:07	ga_ls8c_ard_3-2-1_112084_2022-03-21_final
2022-03-23 11:23:44	ga_ls8c_ard_3-2-1_110084_2022-03-23_final
2022-04-12 09:22:31	ga_ls8c_ard_3-2-1_090090_2022-04-11_final
2022-04-19 09:23:06	ga_ls8c_ard_3-2-1_091076_2022-04-18_final
2022-04-20 10:06:46	ga_ls8c_ard_3-2-1_098077_2022-04-20_final
2022-04-21 09:11:08	ga_ls8c_ard_3-2-1_089077_2022-04-20_final
2022-05-10 11:18:12	ga_ls8c_ard_3-2-1_110070_2022-05-10_final
2022-05-21 11:01:42	ga_ls8c_ard_3-2-1_107075_2022-05-21_final
2022-06-02 09:52:24	ga_ls8c_ard_3-2-1_095087_2022-06-02_final
2022-06-08 09:12:12	ga_ls8c_ard_3-2-1_089079_2022-06-07_final
2022-07-25 10:07:41	ga_ls8c_ard_3-2-1_098078_2022-07-25_final
2022-08-04 09:07:35	ga_ls8c_ard_3-2-1_088082_2022-08-03_final
2022-08-07 09:34:55	ga_ls8c_ard_3-2-1_093073_2022-08-07_final
2022-09-06 09:52:33	ga_ls8c_ard_3-2-1_095086_2022-09-06_final
2022-10-13 10:04:39	ga_ls8c_ard_3-2-1_098070_2022-10-13_final
2022-11-06 09:21:20	ga_ls8c_ard_3-2-1_090085_2022-11-05_final
2022-11-22 09:22:26	ga_ls8c_ard_3-2-1_090088_2022-11-21_final
2022-12-11 11:25:25	ga_ls8c_ard_3-2-1_111071_2022-12-11_final
2023-01-26 09:58:20	ga_ls8c_ard_3-2-1_097070_2023-01-26_final
2023-01-31 10:22:29	ga_ls8c_ard_3-2-1_100084_2023-01-31_final
2023-02-23 10:27:59	ga_ls8c_ard_3-2-1_101083_2023-02-23_final
2023-04-04 09:35:22	ga_ls8c_ard_3-2-1_093076_2023-04-04_final
2023-05-04 11:29:07	ga_ls8c_ard_3-2-1_111083_2023-05-04_final
2023-05-06 09:33:03	ga_ls8c_ard_3-2-1_093071_2023-05-06_final
2023-05-15 09:28:20	ga_ls8c_ard_3-2-1_092075_2023-05-14_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years