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
2013-07-04 11:25:52	ga_ls8c_ard_3-0-0_110084_2013-07-04_final
2013-09-03 10:51:03	ga_ls8c_ard_3-0-0_105074_2013-09-03_final
2013-11-11 11:13:16	ga_ls8c_ard_3-0-0_108084_2013-11-11_final
2014-06-26 11:35:22	ga_ls8c_ard_3-0-0_113067_2014-06-26_final
2014-09-06 10:49:08	ga_ls8c_ard_3-0-0_105074_2014-09-06_final
2015-04-03 11:30:50	ga_ls8c_ard_3-0-0_112072_2015-04-03_final
2015-04-28 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-04-28_final
2015-06-22 11:29:59	ga_ls8c_ard_3-0-0_112070_2015-06-22_final
2015-10-30 11:24:00	ga_ls8c_ard_3-0-0_110084_2015-10-30_final
2016-05-20 11:01:21	ga_ls8c_ard_3-0-0_107075_2016-05-20_final
2016-05-28 11:52:27	ga_ls8c_ard_3-0-0_115079_2016-05-28_final
2016-06-07 10:46:41	ga_ls8c_ard_3-0-0_105069_2016-06-07_final
2016-07-01 11:42:17	ga_ls8c_ard_3-0-0_113084_2016-07-01_final
2016-07-28 11:18:19	ga_ls8c_ard_3-0-0_110070_2016-07-28_final
2016-09-03 11:42:38	ga_ls8c_ard_3-0-0_113084_2016-09-03_final
2016-09-23 11:14:45	ga_ls8c_ard_3-0-0_109076_2016-09-23_final
2016-10-07 11:24:46	ga_ls8c_ard_3-0-0_111070_2016-10-07_final
2016-11-30 10:49:20	ga_ls8c_ard_3-0-0_105074_2016-11-30_final
2017-05-16 10:52:14	ga_ls8c_ard_3-0-0_106068_2017-05-16_final
2017-06-25 11:41:35	ga_ls8c_ard_3-0-0_114067_2017-06-25_final
2017-07-10 10:59:34	ga_ls8c_ard_3-0-0_107070_2017-07-10_final
2017-07-31 11:18:16	ga_ls8c_ard_3-0-0_110070_2017-07-31_final
2017-10-23 10:55:53	ga_ls8c_ard_3-0-0_106075_2017-10-23_final
2017-11-01 10:48:06	ga_ls8c_ard_3-0-0_105071_2017-11-01_final
2017-11-06 11:06:14	ga_ls8c_ard_3-0-0_108070_2017-11-06_final
2018-01-11 10:53:40	ga_ls8c_ard_3-0-0_106070_2018-01-11_final
2018-01-26 11:52:45	ga_ls8c_ard_3-0-0_115079_2018-01-26_final
2018-03-05 11:13:00	ga_ls8c_ard_3-0-0_109073_2018-03-05_final
2018-06-20 10:54:32	ga_ls8c_ard_3-0-0_106075_2018-06-20_final
2018-08-14 11:00:47	ga_ls8c_ard_3-0-0_107074_2018-08-14_final
2018-10-10 10:53:48	ga_ls8c_ard_3-0-0_106071_2018-10-10_final
2019-05-25 11:23:45	ga_ls8c_ard_3-0-0_111069_2019-05-25_final
2019-06-28 11:17:12	ga_ls8c_ard_3-1-0_109083_2019-06-28_final
2019-08-10 10:56:05	ga_ls8c_ard_3-1-0_106076_2019-08-10_final
2019-08-22 11:20:28	ga_ls8c_ard_3-1-0_110075_2019-08-22_final
2019-10-06 10:46:59	ga_ls8c_ard_3-1-0_105068_2019-10-06_final
2019-10-07 11:29:51	ga_ls8c_ard_3-1-0_112067_2019-10-07_final
2019-12-09 10:50:07	ga_ls8c_ard_3-1-0_105076_2019-12-09_final
2019-12-19 11:24:22	ga_ls8c_ard_3-2-0_111069_2019-12-19_final
2020-01-31 11:07:38	ga_ls8c_ard_3-1-0_108074_2020-01-31_final
2020-03-05 10:53:31	ga_ls8c_ard_3-1-0_106070_2020-03-05_final
2020-03-21 10:58:11	ga_ls8c_ard_3-1-0_106082_2020-03-21_final
2020-05-24 10:53:02	ga_ls8c_ard_3-1-0_106070_2020-05-24_final
2020-05-24 10:57:02	ga_ls8c_ard_3-1-0_106080_2020-05-24_final
2020-06-10 11:38:03	ga_ls8c_ard_3-1-0_113074_2020-06-10_final
2020-06-19 11:31:57	ga_ls8c_ard_3-1-0_112074_2020-06-19_final
2020-06-28 11:24:39	ga_ls8c_ard_3-1-0_111071_2020-06-28_final
2020-09-07 11:35:15	ga_ls8c_ard_3-1-0_112081_2020-09-07_final
2020-09-21 11:47:18	ga_ls8c_ard_3-1-0_114080_2020-09-21_final
2020-09-28 11:51:31	ga_ls8c_ard_3-1-0_115075_2020-09-28_final
2020-11-12 11:20:34	ga_ls8c_ard_3-1-0_110075_2020-11-12_final
2021-01-22 09:45:45	ga_ls8c_ard_3-2-0_095070_2021-01-22_final
2021-02-25 09:34:51	ga_ls8c_ard_3-2-0_093074_2021-02-25_final
2021-04-04 10:35:36	ga_ls8c_ard_3-2-0_103072_2021-04-04_final
2021-04-10 10:03:17	ga_ls8c_ard_3-2-0_097084_2021-04-10_final
2021-05-11 09:21:25	ga_ls8c_ard_3-2-0_090088_2021-05-10_final
2021-05-17 10:20:54	ga_ls8c_ard_3-2-0_100082_2021-05-17_final
2021-06-28 10:52:17	ga_ls8c_ard_3-2-0_106067_2021-06-28_final
2021-07-12 09:32:58	ga_ls8c_ard_3-2-0_092085_2021-07-12_final
2021-07-14 09:16:36	ga_ls8c_ard_3-2-0_090075_2021-07-13_final
2021-10-15 10:27:06	ga_ls8c_ard_3-2-0_101080_2021-10-15_final
2021-11-19 09:21:25	ga_ls8c_ard_3-2-0_090086_2021-11-18_final
2021-12-02 10:23:27	ga_ls8c_ard_3-2-0_101071_2021-12-02_final
2021-12-25 10:29:34	ga_ls8c_ard_3-2-1_102071_2021-12-25_final
2021-12-28 11:01:38	ga_ls8c_ard_3-2-1_107074_2021-12-28_final
2022-01-31 09:13:27	ga_ls8c_ard_3-2-1_089082_2022-01-30_final
2022-03-19 11:47:19	ga_ls8c_ard_3-2-1_114081_2022-03-19_final
2022-04-17 09:33:53	ga_ls8c_ard_3-2-1_093072_2022-04-17_final
2022-04-29 09:56:55	ga_ls8c_ard_3-2-1_097068_2022-04-29_final
2022-06-01 10:46:00	ga_ls8c_ard_3-2-1_104082_2022-06-01_final
2022-07-10 10:48:26	ga_ls8c_ard_3-2-1_105072_2022-07-10_final
2022-08-09 09:22:34	ga_ls8c_ard_3-2-1_091073_2022-08-08_final
2022-08-09 09:28:10	ga_ls8c_ard_3-2-1_091087_2022-08-08_final
2022-09-26 09:25:31	ga_ls8c_ard_3-2-1_091080_2022-09-25_final
2022-09-26 11:02:01	ga_ls8c_ard_3-2-1_107074_2022-09-26_final
2022-10-12 09:27:23	ga_ls8c_ard_3-2-1_091085_2022-10-11_final
2022-11-13 09:28:15	ga_ls8c_ard_3-2-1_091087_2022-11-12_final
2022-11-25 11:24:39	ga_ls8c_ard_3-2-1_111069_2022-11-25_final
2022-12-04 09:44:46	ga_ls8c_ard_3-2-1_094082_2022-12-04_final
2022-12-14 10:17:48	ga_ls8c_ard_3-2-1_100072_2022-12-14_final
2023-02-12 10:42:44	ga_ls8c_ard_3-2-1_104073_2023-02-12_final
2023-03-14 09:16:40	ga_ls8c_ard_3-2-1_090075_2023-03-13_final
2023-03-14 09:21:04	ga_ls8c_ard_3-2-1_090086_2023-03-13_final
2023-03-26 11:18:56	ga_ls8c_ard_3-2-1_110072_2023-03-26_final
2023-04-11 09:40:35	ga_ls8c_ard_3-2-1_094074_2023-04-11_final
2023-04-17 10:39:58	ga_ls8c_ard_3-2-1_104068_2023-04-17_final
2023-04-20 09:38:44	ga_ls8c_ard_3-2-1_093085_2023-04-20_final
2023-04-24 09:12:02	ga_ls8c_ard_3-2-1_089080_2023-04-23_final
2023-06-18 09:16:10	ga_ls8c_ard_3-2-1_090075_2023-06-17_final
2023-06-21 11:25:33	ga_ls8c_ard_3-2-1_111074_2023-06-21_final
2023-06-22 10:28:20	ga_ls8c_ard_3-2-1_102070_2023-06-22_final
2023-07-11 09:26:34	ga_ls8c_ard_3-2-1_091085_2023-07-10_final
2023-07-31 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-07-31_final
2023-08-28 09:22:05	ga_ls8c_ard_3-2-1_091073_2023-08-27_final
2023-09-02 11:23:53	ga_ls8c_ard_3-2-1_110084_2023-09-02_final
2023-09-06 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-09-06_final
2023-10-31 11:00:47	ga_ls8c_ard_3-2-1_107072_2023-10-31_final
2023-11-18 09:13:08	ga_ls8c_ard_3-2-1_089081_2023-11-17_final
2023-11-27 10:42:40	ga_ls8c_ard_3-2-1_104073_2023-11-27_final
2024-01-15 11:25:25	ga_ls8c_ard_3-2-1_111072_2024-01-15_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