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
2013-03-25 10:39:16	ga_ls8c_ard_3-0-0_103082_2013-03-25_final
2014-01-20 10:29:13	ga_ls8c_ard_3-0-0_102068_2014-01-20_final
2014-04-16 09:51:44	ga_ls8c_ard_3-0-0_096070_2014-04-16_final
2014-05-20 11:19:49	ga_ls8c_ard_3-0-0_110075_2014-05-20_final
2014-07-14 09:46:16	ga_ls8c_ard_3-0-0_095072_2014-07-14_final
2014-09-07 11:32:00	ga_ls8c_ard_3-0-0_112073_2014-09-07_final
2014-10-15 10:52:37	ga_ls8c_ard_3-0-0_106067_2014-10-15_final
2015-04-26 11:37:45	ga_ls8c_ard_3-0-0_113074_2015-04-26_final
2015-05-15 10:32:15	ga_ls8c_ard_3-0-0_102081_2015-05-15_final
2015-06-25 10:26:48	ga_ls8c_ard_3-0-0_101082_2015-06-25_final
2015-10-05 11:24:31	ga_ls8c_ard_3-0-0_111070_2015-10-05_final
2015-12-04 10:10:04	ga_ls8c_ard_3-0-0_099069_2015-12-04_final
2015-12-29 10:05:04	ga_ls8c_ard_3-0-0_098072_2015-12-29_final
2015-12-31 09:51:54	ga_ls8c_ard_3-0-0_096070_2015-12-31_final
2016-06-29 10:12:57	ga_ls8c_ard_3-0-0_099077_2016-06-29_final
2016-06-29 11:52:14	ga_ls8c_ard_3-0-0_115078_2016-06-29_final
2016-10-23 09:46:45	ga_ls8c_ard_3-0-0_095072_2016-10-23_final
2016-11-25 10:30:24	ga_ls8c_ard_3-0-0_102073_2016-11-25_final
2016-12-06 10:15:26	ga_ls8c_ard_3-0-0_099082_2016-12-06_final
2016-12-22 10:10:34	ga_ls8c_ard_3-0-0_099070_2016-12-22_final
2017-01-15 11:00:20	ga_ls8c_ard_3-0-0_107071_2017-01-15_final
2017-02-08 10:10:42	ga_ls8c_ard_3-0-0_099071_2017-02-08_final
2017-02-08 10:11:30	ga_ls8c_ard_3-0-0_099073_2017-02-08_final
2017-03-30 09:57:57	ga_ls8c_ard_3-0-0_097071_2017-03-30_final
2017-04-13 10:09:00	ga_ls8c_ard_3-0-0_099068_2017-04-13_final
2017-07-22 11:23:59	ga_ls8c_ard_3-0-0_111069_2017-07-22_final
2017-07-27 11:41:46	ga_ls8c_ard_3-0-0_114067_2017-07-27_final
2017-07-29 11:29:25	ga_ls8c_ard_3-0-0_112067_2017-07-29_final
2017-08-08 10:33:16	ga_ls8c_ard_3-0-0_102081_2017-08-08_final
2017-08-14 09:58:13	ga_ls8c_ard_3-0-0_096086_2017-08-14_final
2017-08-17 10:25:32	ga_ls8c_ard_3-0-0_101077_2017-08-17_final
2017-11-02 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-11-02_final
2017-11-25 10:01:44	ga_ls8c_ard_3-0-0_097079_2017-11-25_final
2017-12-04 11:29:37	ga_ls8c_ard_3-0-0_112067_2017-12-04_final
2018-01-10 10:13:37	ga_ls8c_ard_3-0-0_099078_2018-01-10_final
2018-02-12 10:53:49	ga_ls8c_ard_3-0-0_106071_2018-02-12_final
2018-02-14 10:45:50	ga_ls8c_ard_3-0-0_104082_2018-02-14_final
2018-05-20 10:02:30	ga_ls8c_ard_3-0-0_097084_2018-05-20_final
2018-07-18 11:17:30	ga_ls8c_ard_3-0-0_110070_2018-07-18_final
2018-09-01 10:46:10	ga_ls8c_ard_3-0-0_105068_2018-09-01_final
2018-09-11 09:45:37	ga_ls8c_ard_3-0-0_095071_2018-09-11_final
2018-10-06 11:16:53	ga_ls8c_ard_3-0-0_110067_2018-10-06_final
2018-11-03 10:10:03	ga_ls8c_ard_3-0-0_098085_2018-11-03_final
2018-12-16 09:51:52	ga_ls8c_ard_3-0-0_095086_2018-12-16_final
2019-01-29 10:12:06	ga_ls8c_ard_3-0-0_099075_2019-01-29_final
2019-01-29 10:12:30	ga_ls8c_ard_3-0-0_099076_2019-01-29_final
2019-02-18 11:25:01	ga_ls8c_ard_3-0-0_111072_2019-02-18_final
2019-03-31 09:40:34	ga_ls8c_ard_3-1-0_094074_2019-03-31_final
2019-05-20 11:10:45	ga_ls8c_ard_3-0-0_108083_2019-05-20_final
2019-06-10 09:46:36	ga_ls8c_ard_3-0-0_095073_2019-06-10_final
2019-06-28 11:13:37	ga_ls8c_ard_3-1-0_109074_2019-06-28_final
2019-08-11 09:57:17	ga_ls8c_ard_3-1-0_097068_2019-08-11_final
2019-11-26 09:40:56	ga_ls8c_ard_3-1-0_094073_2019-11-26_final
2020-01-23 10:17:03	ga_ls8c_ard_3-1-0_100071_2020-01-23_final
2020-01-24 11:00:42	ga_ls8c_ard_3-1-0_107072_2020-01-24_final
2020-03-08 09:51:54	ga_ls8c_ard_3-1-0_095086_2020-03-08_final
2020-04-21 10:12:40	ga_ls8c_ard_3-1-0_099077_2020-04-21_final
2020-06-18 10:48:41	ga_ls8c_ard_3-1-0_105074_2020-06-18_final
2020-07-31 10:33:12	ga_ls8c_ard_3-1-0_102081_2020-07-31_final
2020-08-22 11:30:45	ga_ls8c_ard_3-1-0_112070_2020-08-22_final
2020-08-26 09:27:58	ga_ls8c_ard_3-1-0_092072_2020-08-25_final
2020-12-01 10:11:04	ga_ls8c_ard_3-1-0_099071_2020-12-01_final
2021-02-14 11:30:21	ga_ls8c_ard_3-2-0_112069_2021-02-14_final
2021-02-16 11:18:47	ga_ls8c_ard_3-2-0_110071_2021-02-16_final
2021-02-27 09:26:52	ga_ls8c_ard_3-2-0_091085_2021-02-26_final
2021-03-07 10:13:03	ga_ls8c_ard_3-2-0_099077_2021-03-07_final
2021-03-19 10:34:04	ga_ls8c_ard_3-2-0_103068_2021-03-19_final
2021-04-25 09:17:06	ga_ls8c_ard_3-2-0_090077_2021-04-24_final
2021-07-08 11:30:35	ga_ls8c_ard_3-2-0_112070_2021-07-08_final
2021-09-02 09:07:22	ga_ls8c_ard_3-2-0_088082_2021-09-01_final
2021-09-02 10:40:40	ga_ls8c_ard_3-2-0_104068_2021-09-02_final
2021-12-03 09:29:01	ga_ls8c_ard_3-2-0_092074_2021-12-02_final
2022-01-13 11:00:00	ga_ls8c_ard_3-2-1_107070_2022-01-13_final
2022-01-22 10:52:34	ga_ls8c_ard_3-2-1_106067_2022-01-22_final
2022-01-28 10:19:02	ga_ls8c_ard_3-2-1_100076_2022-01-28_final
2022-02-01 11:32:24	ga_ls8c_ard_3-2-1_112074_2022-02-01_final
2022-03-10 10:08:43	ga_ls8c_ard_3-2-1_099066_2022-03-10_final
2022-05-20 11:58:08	ga_ls8c_ard_3-2-1_116077_2022-05-20_final
2022-07-20 09:47:05	ga_ls8c_ard_3-2-1_095073_2022-07-20_final
2022-09-22 11:24:44	ga_ls8c_ard_3-2-1_111069_2022-09-22_final
2022-10-20 10:09:18	ga_ls8c_ard_3-2-1_099066_2022-10-20_final
2023-01-03 11:32:41	ga_ls8c_ard_3-2-1_112074_2023-01-03_final
2023-01-08 10:11:31	ga_ls8c_ard_3-2-1_099072_2023-01-08_final
2023-01-25 10:56:21	ga_ls8c_ard_3-2-1_106076_2023-01-25_final
2023-03-01 11:28:56	ga_ls8c_ard_3-2-1_111081_2023-03-01_final
2023-03-07 09:10:31	ga_ls8c_ard_3-2-1_089075_2023-03-06_final
2023-03-15 09:57:56	ga_ls8c_ard_3-2-1_097070_2023-03-15_final
2023-03-31 11:41:02	ga_ls8c_ard_3-2-1_113081_2023-03-31_final
2023-04-14 10:13:28	ga_ls8c_ard_3-2-1_099079_2023-04-14_final
2023-05-23 10:19:00	ga_ls8c_ard_3-2-1_100078_2023-05-23_final
2023-09-17 10:35:55	ga_ls8c_ard_3-2-1_103072_2023-09-17_final
2023-10-31 09:29:05	ga_ls8c_ard_3-2-1_091090_2023-10-30_final
2023-11-08 10:08:53	ga_ls8c_ard_3-2-1_099066_2023-11-08_final
2023-11-25 10:53:26	ga_ls8c_ard_3-2-1_106069_2023-11-25_final
2023-12-02 09:25:28	ga_ls8c_ard_3-2-1_091081_2023-12-01_final
2023-12-20 09:13:08	ga_ls8c_ard_3-2-1_089081_2023-12-19_final
2024-01-05 09:16:10	ga_ls8c_ard_3-2-1_089089_2024-01-04_final
2024-02-04 09:22:34	ga_ls8c_ard_3-2-1_091074_2024-02-03_final
2024-02-13 09:16:47	ga_ls8c_ard_3-2-1_090075_2024-02-12_final
2024-03-05 11:11:38	ga_ls8c_ard_3-2-1_109069_2024-03-05_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