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
2013-04-11 10:11:25	ga_ls8c_ard_3-0-0_098078_2013-04-11_final
2013-04-14 10:36:04	ga_ls8c_ard_3-0-0_103068_2013-04-14_final
2013-04-30 10:36:02	ga_ls8c_ard_3-0-0_103068_2013-04-30_final
2013-06-02 11:23:57	ga_ls8c_ard_3-0-0_110079_2013-06-02_final
2013-08-01 10:10:08	ga_ls8c_ard_3-0-0_098080_2013-08-01_final
2013-09-06 11:25:56	ga_ls8c_ard_3-0-0_110084_2013-09-06_final
2014-03-05 10:53:22	ga_ls8c_ard_3-0-0_106068_2014-03-05_final
2014-04-05 10:13:42	ga_ls8c_ard_3-0-0_099078_2014-04-05_final
2014-04-14 11:47:01	ga_ls8c_ard_3-0-0_114080_2014-04-14_final
2014-08-25 10:27:33	ga_ls8c_ard_3-0-0_101082_2014-08-25_final
2014-12-25 11:05:27	ga_ls8c_ard_3-0-0_107084_2014-12-25_final
2015-04-15 10:16:17	ga_ls8c_ard_3-0-0_100071_2015-04-15_final
2015-05-19 10:08:22	ga_ls8c_ard_3-0-0_098083_2015-05-19_final
2015-08-14 10:09:38	ga_ls8c_ard_3-0-0_099069_2015-08-14_final
2015-09-30 11:06:22	ga_ls8c_ard_3-0-0_108071_2015-09-30_final
2015-12-01 11:20:27	ga_ls8c_ard_3-0-0_110075_2015-12-01_final
2015-12-17 11:18:27	ga_ls8c_ard_3-0-0_110070_2015-12-17_final
2016-01-06 10:52:52	ga_ls8c_ard_3-0-0_106068_2016-01-06_final
2016-04-07 11:16:45	ga_ls8c_ard_3-0-0_110067_2016-04-07_final
2016-05-20 11:01:21	ga_ls8c_ard_3-0-0_107075_2016-05-20_final
2016-06-06 11:46:42	ga_ls8c_ard_3-0-0_114080_2016-06-06_final
2016-09-29 10:36:04	ga_ls8c_ard_3-0-0_103072_2016-09-29_final
2016-10-03 10:13:22	ga_ls8c_ard_3-0-0_099077_2016-10-03_final
2017-02-04 10:34:16	ga_ls8c_ard_3-0-0_103068_2017-02-04_final
2017-02-07 11:08:44	ga_ls8c_ard_3-0-0_108077_2017-02-07_final
2017-03-22 10:49:03	ga_ls8c_ard_3-0-0_105075_2017-03-22_final
2017-06-05 10:30:54	ga_ls8c_ard_3-0-0_102076_2017-06-05_final
2017-08-26 11:58:40	ga_ls8c_ard_3-0-0_116078_2017-08-26_final
2017-09-01 11:18:01	ga_ls8c_ard_3-0-0_110069_2017-09-01_final
2017-11-07 10:09:25	ga_ls8c_ard_3-0-0_099067_2017-11-07_final
2018-02-08 11:20:09	ga_ls8c_ard_3-0-0_110075_2018-02-08_final
2018-05-27 10:03:00	ga_ls8c_ard_3-0-0_098070_2018-05-27_final
2018-06-02 11:05:56	ga_ls8c_ard_3-0-0_108073_2018-06-02_final
2018-08-17 11:30:55	ga_ls8c_ard_3-0-0_112072_2018-08-17_final
2018-08-18 10:35:18	ga_ls8c_ard_3-0-0_103072_2018-08-18_final
2018-09-11 11:22:54	ga_ls8c_ard_3-0-0_111067_2018-09-11_final
2018-10-05 10:38:48	ga_ls8c_ard_3-0-0_103080_2018-10-05_final
2018-10-08 11:05:44	ga_ls8c_ard_3-0-0_108070_2018-10-08_final
2018-10-13 11:24:19	ga_ls8c_ard_3-0-0_111070_2018-10-13_final
2018-10-14 10:27:54	ga_ls8c_ard_3-0-0_102068_2018-10-14_final
2018-10-27 11:35:33	ga_ls8c_ard_3-0-0_113067_2018-10-27_final
2018-12-28 10:15:23	ga_ls8c_ard_3-0-0_099083_2018-12-28_final
2019-06-13 10:17:55	ga_ls8c_ard_3-1-0_100074_2019-06-13_final
2019-06-16 10:48:50	ga_ls8c_ard_3-1-0_105074_2019-06-16_final
2019-08-06 11:17:12	ga_ls8c_ard_3-1-0_110067_2019-08-06_final
2019-08-29 11:25:53	ga_ls8c_ard_3-1-0_111073_2019-08-29_final
2019-09-19 10:08:02	ga_ls8c_ard_3-1-0_098079_2019-09-19_final
2019-09-26 11:51:32	ga_ls8c_ard_3-1-0_115075_2019-09-26_final
2019-10-28 10:09:55	ga_ls8c_ard_3-1-0_099068_2019-10-28_final
2019-11-29 10:10:15	ga_ls8c_ard_3-1-0_099069_2019-11-29_final
2019-12-31 10:08:57	ga_ls8c_ard_3-2-1_099066_2019-12-31_final
2020-01-16 11:51:23	ga_ls8c_ard_3-1-0_115075_2020-01-16_final
2020-01-25 10:05:28	ga_ls8c_ard_3-1-0_098073_2020-01-25_final
2020-01-26 10:46:44	ga_ls8c_ard_3-1-0_105068_2020-01-26_final
2020-02-10 10:05:00	ga_ls8c_ard_3-1-0_098072_2020-02-10_final
2020-04-25 11:29:12	ga_ls8c_ard_3-1-0_111083_2020-04-25_final
2020-05-03 10:35:17	ga_ls8c_ard_3-1-0_103072_2020-05-03_final
2020-07-01 10:21:28	ga_ls8c_ard_3-1-0_100083_2020-07-01_final
2020-09-21 11:45:42	ga_ls8c_ard_3-1-0_114076_2020-09-21_final
2020-12-21 11:23:37	ga_ls8c_ard_3-2-0_111067_2020-12-21_final
2020-12-25 11:00:29	ga_ls8c_ard_3-2-0_107071_2020-12-25_final
2021-02-22 09:06:46	ga_ls8c_ard_3-2-0_088081_2021-02-21_final
2021-03-16 10:03:11	ga_ls8c_ard_3-2-0_098068_2021-03-16_final
2021-03-29 09:31:50	ga_ls8c_ard_3-2-0_093067_2021-03-29_final
2021-06-14 09:06:58	ga_ls8c_ard_3-2-0_088082_2021-06-13_final
2021-07-13 10:14:13	ga_ls8c_ard_3-2-0_099080_2021-07-13_final
2021-08-27 09:40:25	ga_ls8c_ard_3-2-0_094072_2021-08-27_final
2021-10-14 09:41:26	ga_ls8c_ard_3-2-0_094074_2021-10-14_final
2021-11-01 09:28:17	ga_ls8c_ard_3-2-0_092072_2021-10-31_final
2021-12-08 11:26:03	ga_ls8c_ard_3-2-1_111073_2021-12-08_final
2022-01-09 11:25:56	ga_ls8c_ard_3-2-1_111073_2022-01-09_final
2022-02-07 10:54:07	ga_ls8c_ard_3-2-1_106071_2022-02-07_final
2022-03-10 10:13:54	ga_ls8c_ard_3-2-1_099079_2022-03-10_final
2022-04-04 10:07:05	ga_ls8c_ard_3-2-1_098078_2022-04-04_final
2022-04-15 09:52:14	ga_ls8c_ard_3-2-1_095087_2022-04-15_final
2022-04-20 10:04:46	ga_ls8c_ard_3-2-1_098072_2022-04-20_final
2022-05-05 09:22:43	ga_ls8c_ard_3-2-1_091075_2022-05-04_final
2022-05-28 09:28:35	ga_ls8c_ard_3-2-1_092074_2022-05-27_final
2022-08-03 11:40:53	ga_ls8c_ard_3-2-1_113079_2022-08-03_final
2022-08-05 11:24:33	ga_ls8c_ard_3-2-1_111069_2022-08-05_final
2022-08-13 10:36:21	ga_ls8c_ard_3-2-1_103072_2022-08-13_final
2022-09-14 10:36:28	ga_ls8c_ard_3-2-1_103072_2022-09-14_final
2022-10-14 10:47:30	ga_ls8c_ard_3-2-1_105069_2022-10-14_final
2022-11-05 10:11:22	ga_ls8c_ard_3-2-1_099071_2022-11-05_final
2022-12-04 09:41:35	ga_ls8c_ard_3-2-1_094074_2022-12-04_final
2022-12-09 11:42:11	ga_ls8c_ard_3-2-1_113082_2022-12-09_final
2023-01-14 11:17:39	ga_ls8c_ard_3-2-1_109083_2023-01-14_final
2023-01-25 10:54:45	ga_ls8c_ard_3-2-1_106072_2023-01-25_final
2023-02-04 09:58:09	ga_ls8c_ard_3-2-1_096085_2023-02-04_final
2023-03-05 09:22:31	ga_ls8c_ard_3-2-1_091074_2023-03-04_final
2023-03-06 11:47:02	ga_ls8c_ard_3-2-1_114080_2023-03-06_final
2023-05-26 09:13:25	ga_ls8c_ard_3-2-1_089084_2023-05-25_final
2023-08-08 11:24:21	ga_ls8c_ard_3-2-1_111070_2023-08-08_final
2023-08-21 10:53:10	ga_ls8c_ard_3-2-1_106069_2023-08-21_final
2023-10-01 10:49:08	ga_ls8c_ard_3-2-1_105074_2023-10-01_final
2023-10-14 10:17:28	ga_ls8c_ard_3-2-1_100072_2023-10-14_final
2023-10-27 11:25:54	ga_ls8c_ard_3-2-1_111073_2023-10-27_final
2024-01-03 09:26:58	ga_ls8c_ard_3-2-1_091085_2024-01-02_final
2024-01-11 11:52:55	ga_ls8c_ard_3-2-1_115079_2024-01-11_final
2024-01-15 11:24:37	ga_ls8c_ard_3-2-1_111070_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