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
2013-05-26 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-05-26_final
2013-09-04 11:33:30	ga_ls8c_ard_3-0-0_112072_2013-09-04_final
2014-06-21 09:39:32	ga_ls8c_ard_3-0-0_094071_2014-06-21_final
2014-08-22 11:29:57	ga_ls8c_ard_3-0-0_112068_2014-08-22_final
2014-10-05 10:19:29	ga_ls8c_ard_3-0-0_100077_2014-10-05_final
2014-10-21 10:19:56	ga_ls8c_ard_3-0-0_100078_2014-10-21_final
2015-02-03 10:13:04	ga_ls8c_ard_3-0-0_099077_2015-02-03_final
2015-02-03 11:52:45	ga_ls8c_ard_3-0-0_115079_2015-02-03_final
2015-02-19 10:12:56	ga_ls8c_ard_3-0-0_099077_2015-02-19_final
2015-03-11 11:24:07	ga_ls8c_ard_3-0-0_111070_2015-03-11_final
2015-04-15 10:19:05	ga_ls8c_ard_3-0-0_100078_2015-04-15_final
2015-04-21 09:40:23	ga_ls8c_ard_3-0-0_094074_2015-04-21_final
2015-05-26 10:12:59	ga_ls8c_ard_3-0-0_099079_2015-05-26_final
2015-06-01 09:39:33	ga_ls8c_ard_3-0-0_093088_2015-06-01_final
2015-07-01 11:23:53	ga_ls8c_ard_3-0-0_111070_2015-07-01_final
2015-08-13 11:10:02	ga_ls8c_ard_3-0-0_108081_2015-08-13_final
2015-09-03 09:51:00	ga_ls8c_ard_3-0-0_095084_2015-09-03_final
2015-09-22 10:21:40	ga_ls8c_ard_3-0-0_100083_2015-09-22_final
2015-11-10 11:00:40	ga_ls8c_ard_3-0-0_107072_2015-11-10_final
2015-11-17 09:29:35	ga_ls8c_ard_3-0-0_092076_2015-11-16_final
2015-12-23 10:40:58	ga_ls8c_ard_3-0-0_104069_2015-12-23_final
2015-12-29 10:05:04	ga_ls8c_ard_3-0-0_098072_2015-12-29_final
2016-01-29 11:05:01	ga_ls8c_ard_3-0-0_107083_2016-01-29_final
2016-02-03 09:45:27	ga_ls8c_ard_3-0-0_094085_2016-02-03_final
2016-02-13 10:19:39	ga_ls8c_ard_3-0-0_100078_2016-02-13_final
2016-03-22 09:39:59	ga_ls8c_ard_3-0-0_094072_2016-03-22_final
2016-04-24 10:25:23	ga_ls8c_ard_3-0-0_101078_2016-04-24_final
2016-05-27 09:25:54	ga_ls8c_ard_3-0-0_092068_2016-05-26_final
2016-06-24 09:51:10	ga_ls8c_ard_3-0-0_096069_2016-06-24_final
2016-07-28 11:17:55	ga_ls8c_ard_3-0-0_110069_2016-07-28_final
2016-10-03 11:51:28	ga_ls8c_ard_3-0-0_115075_2016-10-03_final
2017-03-01 10:27:55	ga_ls8c_ard_3-0-0_102068_2017-03-01_final
2017-04-10 11:23:24	ga_ls8c_ard_3-0-0_110084_2017-04-10_final
2017-04-16 10:39:53	ga_ls8c_ard_3-0-0_104068_2017-04-16_final
2017-05-01 09:56:03	ga_ls8c_ard_3-0-0_097067_2017-05-01_final
2017-06-11 11:29:33	ga_ls8c_ard_3-0-0_112068_2017-06-11_final
2017-06-17 10:57:18	ga_ls8c_ard_3-0-0_106080_2017-06-17_final
2017-07-25 10:19:13	ga_ls8c_ard_3-0-0_100077_2017-07-25_final
2017-12-04 11:30:49	ga_ls8c_ard_3-0-0_112070_2017-12-04_final
2017-12-31 09:34:36	ga_ls8c_ard_3-0-0_093073_2017-12-31_final
2018-04-02 11:37:05	ga_ls8c_ard_3-0-0_113072_2018-04-02_final
2018-04-21 10:28:07	ga_ls8c_ard_3-0-0_102070_2018-04-21_final
2018-07-28 10:16:09	ga_ls8c_ard_3-0-0_100071_2018-07-28_final
2018-08-15 11:46:51	ga_ls8c_ard_3-0-0_114081_2018-08-15_final
2018-08-22 10:15:24	ga_ls8c_ard_3-0-0_099084_2018-08-22_final
2018-12-07 11:31:46	ga_ls8c_ard_3-0-0_112073_2018-12-07_final
2019-02-09 11:31:13	ga_ls8c_ard_3-0-0_112072_2019-02-09_final
2019-02-14 10:13:16	ga_ls8c_ard_3-0-0_099078_2019-02-14_final
2019-05-05 10:12:34	ga_ls8c_ard_3-0-0_099077_2019-05-05_final
2019-06-19 09:40:04	ga_ls8c_ard_3-1-0_094072_2019-06-19_final
2019-08-30 10:33:51	ga_ls8c_ard_3-1-0_102082_2019-08-30_final
2019-12-14 09:28:10	ga_ls8c_ard_3-2-0_092072_2019-12-13_final
2019-12-16 09:17:00	ga_ls8c_ard_3-2-0_090075_2019-12-15_final
2020-02-14 11:23:56	ga_ls8c_ard_3-1-0_110084_2020-02-14_final
2020-03-08 11:24:24	ga_ls8c_ard_3-1-0_111070_2020-03-08_final
2020-03-15 09:51:15	ga_ls8c_ard_3-1-0_096069_2020-03-15_final
2020-04-07 10:03:36	ga_ls8c_ard_3-1-0_097085_2020-04-07_final
2020-06-23 09:27:35	ga_ls8c_ard_3-1-0_092072_2020-06-22_final
2020-06-25 10:55:43	ga_ls8c_ard_3-1-0_106076_2020-06-25_final
2020-07-20 10:46:06	ga_ls8c_ard_3-1-0_105067_2020-07-20_final
2020-10-18 09:45:57	ga_ls8c_ard_3-1-0_095070_2020-10-18_final
2021-02-13 10:50:41	ga_ls8c_ard_3-2-0_105078_2021-02-13_final
2021-04-29 10:32:49	ga_ls8c_ard_3-2-0_102081_2021-04-29_final
2021-07-27 10:23:06	ga_ls8c_ard_3-2-0_101071_2021-07-27_final
2021-09-15 10:10:37	ga_ls8c_ard_3-2-0_099070_2021-09-15_final
2021-09-26 11:31:47	ga_ls8c_ard_3-2-0_112072_2021-09-26_final
2022-01-20 09:34:27	ga_ls8c_ard_3-2-1_092088_2022-01-20_final
2022-01-31 09:16:15	ga_ls8c_ard_3-2-1_089089_2022-01-30_final
2022-02-10 11:25:24	ga_ls8c_ard_3-2-1_111072_2022-02-10_final
2022-04-04 10:02:42	ga_ls8c_ard_3-2-1_098067_2022-04-04_final
2022-04-15 11:29:31	ga_ls8c_ard_3-2-1_111083_2022-04-15_final
2022-04-18 10:19:08	ga_ls8c_ard_3-2-1_100077_2022-04-18_final
2022-05-24 09:51:43	ga_ls8c_ard_3-2-1_096070_2022-05-24_final
2022-07-18 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-07-18_final
2022-09-25 10:17:57	ga_ls8c_ard_3-2-1_100072_2022-09-25_final
2022-10-11 10:21:02	ga_ls8c_ard_3-2-1_100080_2022-10-11_final
2022-10-13 10:07:50	ga_ls8c_ard_3-2-1_098078_2022-10-13_final
2023-01-17 11:47:42	ga_ls8c_ard_3-2-1_114081_2023-01-17_final
2023-01-25 10:55:57	ga_ls8c_ard_3-2-1_106075_2023-01-25_final
2023-03-04 10:19:20	ga_ls8c_ard_3-2-1_100077_2023-03-04_final
2023-03-04 10:19:44	ga_ls8c_ard_3-2-1_100078_2023-03-04_final
2023-03-08 09:52:58	ga_ls8c_ard_3-2-1_096073_2023-03-08_final
2023-03-10 09:39:48	ga_ls8c_ard_3-2-1_094071_2023-03-10_final
2023-03-23 09:11:58	ga_ls8c_ard_3-2-1_089079_2023-03-22_final
2023-04-01 09:06:31	ga_ls8c_ard_3-2-1_088081_2023-03-31_final
2023-04-04 11:16:14	ga_ls8c_ard_3-2-1_109081_2023-04-04_final
2023-04-14 10:12:40	ga_ls8c_ard_3-2-1_099077_2023-04-14_final
2023-04-15 09:21:50	ga_ls8c_ard_3-2-1_090089_2023-04-14_final
2023-05-01 09:22:34	ga_ls8c_ard_3-2-1_090091_2023-04-30_final
2023-06-02 09:16:24	ga_ls8c_ard_3-2-1_090076_2023-06-01_final
2023-06-02 09:20:48	ga_ls8c_ard_3-2-1_090087_2023-06-01_final
2023-06-03 11:41:46	ga_ls8c_ard_3-2-1_113084_2023-06-03_final
2023-07-03 10:09:33	ga_ls8c_ard_3-2-1_099069_2023-07-03_final
2023-07-04 09:16:20	ga_ls8c_ard_3-2-1_090075_2023-07-03_final
2023-08-12 11:01:14	ga_ls8c_ard_3-2-1_107074_2023-08-12_final
2023-08-22 11:37:38	ga_ls8c_ard_3-2-1_113072_2023-08-22_final
2023-09-06 09:22:15	ga_ls8c_ard_3-2-1_090089_2023-09-05_final
2023-09-13 09:22:55	ga_ls8c_ard_3-2-1_091075_2023-09-12_final
2023-10-21 10:23:14	ga_ls8c_ard_3-2-1_101071_2023-10-21_final
2024-01-11 11:51:20	ga_ls8c_ard_3-2-1_115075_2024-01-11_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