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
2013-05-19 11:09:57	ga_ls8c_ard_3-0-0_108075_2013-05-19_final
2013-10-14 10:42:18	ga_ls8c_ard_3-0-0_104068_2013-10-14_final
2014-05-07 11:51:14	ga_ls8c_ard_3-0-0_115076_2014-05-07_final
2014-07-14 11:24:21	ga_ls8c_ard_3-0-0_111070_2014-07-14_final
2014-09-15 10:46:09	ga_ls8c_ard_3-0-0_104082_2014-09-15_final
2014-11-26 11:31:39	ga_ls8c_ard_3-0-0_112072_2014-11-26_final
2014-12-31 10:27:30	ga_ls8c_ard_3-0-0_101082_2014-12-31_final
2015-01-04 11:35:42	ga_ls8c_ard_3-0-0_113067_2015-01-04_final
2015-01-06 11:25:20	ga_ls8c_ard_3-0-0_111072_2015-01-06_final
2015-02-09 11:11:37	ga_ls8c_ard_3-0-0_109069_2015-02-09_final
2015-03-23 11:51:57	ga_ls8c_ard_3-0-0_115078_2015-03-23_final
2015-06-09 10:25:06	ga_ls8c_ard_3-0-0_101078_2015-06-09_final
2015-06-27 10:15:15	ga_ls8c_ard_3-0-0_099084_2015-06-27_final
2015-08-08 10:48:38	ga_ls8c_ard_3-0-0_105074_2015-08-08_final
2015-09-03 11:23:54	ga_ls8c_ard_3-0-0_111069_2015-09-03_final
2015-11-06 11:24:12	ga_ls8c_ard_3-0-0_111069_2015-11-06_final
2015-11-28 10:47:10	ga_ls8c_ard_3-0-0_105069_2015-11-28_final
2016-01-18 11:20:23	ga_ls8c_ard_3-0-0_110075_2016-01-18_final
2016-01-25 11:29:45	ga_ls8c_ard_3-0-0_111083_2016-01-25_final
2016-02-08 11:38:27	ga_ls8c_ard_3-0-0_113074_2016-02-08_final
2016-03-06 11:23:23	ga_ls8c_ard_3-0-0_110083_2016-03-06_final
2016-05-10 10:25:02	ga_ls8c_ard_3-0-0_101077_2016-05-10_final
2016-07-11 10:36:10	ga_ls8c_ard_3-0-0_103073_2016-07-11_final
2016-07-17 09:57:08	ga_ls8c_ard_3-0-0_097068_2016-07-17_final
2016-08-21 10:28:59	ga_ls8c_ard_3-0-0_102070_2016-08-21_final
2016-12-19 11:18:57	ga_ls8c_ard_3-0-0_110071_2016-12-19_final
2017-01-12 10:29:02	ga_ls8c_ard_3-0-0_102070_2017-01-12_final
2017-05-01 11:36:56	ga_ls8c_ard_3-0-0_113072_2017-05-01_final
2017-05-12 11:22:53	ga_ls8c_ard_3-0-0_110083_2017-05-12_final
2017-08-09 11:16:32	ga_ls8c_ard_3-0-0_109081_2017-08-09_final
2017-09-30 10:46:50	ga_ls8c_ard_3-0-0_105068_2017-09-30_final
2017-10-07 10:53:51	ga_ls8c_ard_3-0-0_106070_2017-10-07_final
2017-11-24 10:53:47	ga_ls8c_ard_3-0-0_106070_2017-11-24_final
2017-11-26 10:40:36	ga_ls8c_ard_3-0-0_104068_2017-11-26_final
2017-12-13 11:26:15	ga_ls8c_ard_3-0-0_111074_2017-12-13_final
2018-01-26 10:13:04	ga_ls8c_ard_3-0-0_099077_2018-01-26_final
2018-03-10 09:50:12	ga_ls8c_ard_3-0-0_096067_2018-03-10_final
2018-04-06 11:13:32	ga_ls8c_ard_3-0-0_109075_2018-04-06_final
2018-04-23 10:16:09	ga_ls8c_ard_3-0-0_100071_2018-04-23_final
2018-06-05 11:37:37	ga_ls8c_ard_3-0-0_113075_2018-06-05_final
2018-07-19 10:25:04	ga_ls8c_ard_3-0-0_101078_2018-07-19_final
2018-09-11 11:29:17	ga_ls8c_ard_3-0-0_111083_2018-09-11_final
2018-10-29 11:24:00	ga_ls8c_ard_3-0-0_111069_2018-10-29_final
2019-02-01 10:45:47	ga_ls8c_ard_3-0-0_104082_2019-02-01_final
2019-02-22 11:04:40	ga_ls8c_ard_3-0-0_107083_2019-02-22_final
2019-05-11 11:13:39	ga_ls8c_ard_3-0-0_109075_2019-05-11_final
2019-06-01 09:50:19	ga_ls8c_ard_3-0-0_096067_2019-06-01_final
2019-06-18 10:34:53	ga_ls8c_ard_3-1-0_103070_2019-06-18_final
2019-06-22 11:51:04	ga_ls8c_ard_3-1-0_115075_2019-06-22_final
2019-09-20 10:49:18	ga_ls8c_ard_3-1-0_105074_2019-09-20_final
2019-10-18 11:14:31	ga_ls8c_ard_3-1-0_109075_2019-10-18_final
2019-11-08 09:58:33	ga_ls8c_ard_3-1-0_096086_2019-11-08_final
2020-01-25 10:09:52	ga_ls8c_ard_3-1-0_098084_2020-01-25_final
2020-01-26 10:49:32	ga_ls8c_ard_3-1-0_105075_2020-01-26_final
2020-02-20 10:40:27	ga_ls8c_ard_3-1-0_104068_2020-02-20_final
2020-03-13 10:02:50	ga_ls8c_ard_3-1-0_098067_2020-03-13_final
2020-03-29 11:45:33	ga_ls8c_ard_3-1-0_114077_2020-03-29_final
2020-04-21 11:51:57	ga_ls8c_ard_3-1-0_115078_2020-04-21_final
2020-05-07 10:10:08	ga_ls8c_ard_3-1-0_099071_2020-05-07_final
2020-05-28 10:28:19	ga_ls8c_ard_3-1-0_102070_2020-05-28_final
2020-06-24 10:10:27	ga_ls8c_ard_3-1-0_099071_2020-06-24_final
2020-06-30 11:17:05	ga_ls8c_ard_3-1-0_109083_2020-06-30_final
2020-08-08 11:20:16	ga_ls8c_ard_3-1-0_110075_2020-08-08_final
2020-08-16 10:30:29	ga_ls8c_ard_3-1-0_102074_2020-08-16_final
2020-11-19 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-11-19_final
2020-11-20 10:30:46	ga_ls8c_ard_3-1-0_102074_2020-11-20_final
2020-12-03 09:59:31	ga_ls8c_ard_3-1-0_097073_2020-12-03_final
2020-12-07 11:17:40	ga_ls8c_ard_3-1-0_109083_2020-12-07_final
2021-01-02 10:09:24	ga_ls8c_ard_3-2-0_099067_2021-01-02_final
2021-01-13 09:58:22	ga_ls8c_ard_3-2-0_096086_2021-01-13_final
2021-03-08 09:17:01	ga_ls8c_ard_3-2-0_090076_2021-03-07_final
2021-05-02 09:22:25	ga_ls8c_ard_3-2-0_091075_2021-05-01_final
2021-07-26 09:40:14	ga_ls8c_ard_3-2-0_094072_2021-07-26_final
2021-08-04 09:38:31	ga_ls8c_ard_3-2-0_093083_2021-08-04_final
2021-08-12 10:26:00	ga_ls8c_ard_3-2-0_101078_2021-08-12_final
2021-08-18 09:45:46	ga_ls8c_ard_3-2-0_095070_2021-08-18_final
2021-08-31 10:53:25	ga_ls8c_ard_3-2-0_106069_2021-08-31_final
2021-11-17 09:29:00	ga_ls8c_ard_3-2-0_092074_2021-11-16_final
2022-01-19 10:23:17	ga_ls8c_ard_3-2-1_101071_2022-01-19_final
2022-02-05 11:06:05	ga_ls8c_ard_3-2-1_108070_2022-02-05_final
2022-04-14 09:06:58	ga_ls8c_ard_3-2-1_088082_2022-04-13_final
2022-04-19 09:25:06	ga_ls8c_ard_3-2-1_091081_2022-04-18_final
2022-06-11 09:45:56	ga_ls8c_ard_3-2-1_094086_2022-06-11_final
2022-08-25 09:29:00	ga_ls8c_ard_3-2-1_091089_2022-08-24_final
2022-09-24 09:34:42	ga_ls8c_ard_3-2-1_093072_2022-09-24_final
2022-10-12 09:27:47	ga_ls8c_ard_3-2-1_091086_2022-10-11_final
2022-10-30 10:50:03	ga_ls8c_ard_3-2-1_105075_2022-10-30_final
2022-11-21 10:10:04	ga_ls8c_ard_3-2-1_099068_2022-11-21_final
2022-12-01 10:50:22	ga_ls8c_ard_3-2-1_105076_2022-12-01_final
2022-12-08 09:22:50	ga_ls8c_ard_3-2-1_090089_2022-12-07_final
2022-12-20 11:20:19	ga_ls8c_ard_3-2-1_110074_2022-12-20_final
2023-02-01 09:28:27	ga_ls8c_ard_3-2-1_091088_2023-01-31_final
2023-03-25 10:35:41	ga_ls8c_ard_3-2-1_103072_2023-03-25_final
2023-05-11 09:56:41	ga_ls8c_ard_3-2-1_096084_2023-05-11_final
2023-09-21 10:08:48	ga_ls8c_ard_3-2-1_099066_2023-09-21_final
2023-12-06 10:34:21	ga_ls8c_ard_3-2-1_103068_2023-12-06_final
2023-12-20 10:49:13	ga_ls8c_ard_3-2-1_105074_2023-12-20_final
2024-01-03 09:27:46	ga_ls8c_ard_3-2-1_091087_2024-01-02_final
2024-01-10 11:07:39	ga_ls8c_ard_3-2-1_108074_2024-01-10_final
2024-03-07 09:27:56	ga_ls8c_ard_3-2-1_091088_2024-03-06_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