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
2013-06-02 11:24:45	ga_ls8c_ard_3-0-0_110081_2013-06-02_final
2014-01-21 11:12:52	ga_ls8c_ard_3-0-0_109069_2014-01-21_final
2014-02-18 11:36:29	ga_ls8c_ard_3-0-0_113067_2014-02-18_final
2014-04-18 09:38:09	ga_ls8c_ard_3-0-0_094067_2014-04-18_final
2015-01-15 09:46:14	ga_ls8c_ard_3-0-0_094087_2015-01-15_final
2015-01-26 11:02:55	ga_ls8c_ard_3-0-0_107078_2015-01-26_final
2015-02-21 11:37:28	ga_ls8c_ard_3-0-0_113072_2015-02-21_final
2015-08-21 11:57:32	ga_ls8c_ard_3-0-0_116076_2015-08-21_final
2015-10-21 09:44:28	ga_ls8c_ard_3-0-0_095067_2015-10-21_final
2015-11-09 11:57:54	ga_ls8c_ard_3-0-0_116076_2015-11-09_final
2016-02-26 09:45:30	ga_ls8c_ard_3-0-0_095070_2016-02-26_final
2016-03-01 11:03:39	ga_ls8c_ard_3-0-0_107080_2016-03-01_final
2016-03-16 11:58:24	ga_ls8c_ard_3-0-0_116078_2016-03-16_final
2016-06-10 11:22:47	ga_ls8c_ard_3-0-0_110082_2016-06-10_final
2016-07-12 11:19:50	ga_ls8c_ard_3-0-0_110074_2016-07-12_final
2016-12-17 11:32:31	ga_ls8c_ard_3-0-0_112074_2016-12-17_final
2016-12-29 08:42:39	ga_ls8c_ard_3-2-1_084082_2016-12-28_final
2017-01-27 09:44:30	ga_ls8c_ard_3-0-0_095067_2017-01-27_final
2017-03-16 11:25:00	ga_ls8c_ard_3-0-0_111072_2017-03-16_final
2017-05-19 09:49:04	ga_ls8c_ard_3-0-0_095080_2017-05-19_final
2017-07-22 11:29:34	ga_ls8c_ard_3-0-0_111083_2017-07-22_final
2017-08-19 11:52:52	ga_ls8c_ard_3-0-0_115079_2017-08-19_final
2017-09-27 11:57:36	ga_ls8c_ard_3-0-0_116075_2017-09-27_final
2017-10-03 11:24:08	ga_ls8c_ard_3-0-0_110084_2017-10-03_final
2017-10-14 11:05:39	ga_ls8c_ard_3-0-0_107084_2017-10-14_final
2018-01-14 11:25:45	ga_ls8c_ard_3-0-0_111073_2018-01-14_final
2018-01-23 11:18:17	ga_ls8c_ard_3-0-0_110070_2018-01-23_final
2018-02-20 11:41:37	ga_ls8c_ard_3-0-0_114067_2018-02-20_final
2018-02-24 11:17:39	ga_ls8c_ard_3-0-0_110069_2018-02-24_final
2018-05-05 09:05:28	ga_ls8c_ard_3-0-0_088080_2018-05-04_final
2018-06-23 11:28:39	ga_ls8c_ard_3-0-0_111083_2018-06-23_final
2018-09-14 11:57:00	ga_ls8c_ard_3-0-0_116075_2018-09-14_final
2018-09-14 11:57:24	ga_ls8c_ard_3-0-0_116076_2018-09-14_final
2018-11-14 08:10:39	ga_ls8c_ard_3-2-1_079080_2018-11-13_final
2018-11-14 11:23:14	ga_ls8c_ard_3-0-0_111067_2018-11-14_final
2018-12-04 11:04:52	ga_ls8c_ard_3-0-0_107083_2018-12-04_final
2019-01-17 09:47:26	ga_ls8c_ard_3-0-0_095075_2019-01-17_final
2019-02-04 11:17:29	ga_ls8c_ard_3-0-0_109084_2019-02-04_final
2019-05-14 11:41:24	ga_ls8c_ard_3-0-0_114067_2019-05-14_final
2019-08-15 11:17:51	ga_ls8c_ard_3-1-0_109084_2019-08-15_final
2019-08-28 09:06:55	ga_ls8c_ard_3-1-0_088081_2019-08-27_final
2019-10-16 11:24:53	ga_ls8c_ard_3-1-0_111070_2019-10-16_final
2019-12-31 11:51:26	ga_ls8c_ard_3-1-0_115075_2019-12-31_final
2020-02-07 11:16:58	ga_ls8c_ard_3-1-0_109082_2020-02-07_final
2020-02-23 11:11:44	ga_ls8c_ard_3-1-0_109069_2020-02-23_final
2020-03-24 09:45:47	ga_ls8c_ard_3-1-0_095071_2020-03-24_final
2020-04-07 11:37:18	ga_ls8c_ard_3-1-0_113072_2020-04-07_final
2020-05-18 11:31:18	ga_ls8c_ard_3-1-0_112073_2020-05-18_final
2020-05-30 11:56:52	ga_ls8c_ard_3-1-0_116075_2020-05-30_final
2020-07-01 11:57:10	ga_ls8c_ard_3-1-0_116075_2020-07-01_final
2020-07-01 11:57:34	ga_ls8c_ard_3-1-0_116076_2020-07-01_final
2020-09-09 09:44:25	ga_ls8c_ard_3-1-0_094082_2020-09-09_final
2020-09-19 11:57:39	ga_ls8c_ard_3-1-0_116075_2020-09-19_final
2021-03-16 10:09:10	ga_ls8c_ard_3-2-0_098083_2021-03-16_final
2021-03-24 10:58:11	ga_ls8c_ard_3-2-0_106082_2021-03-24_final
2021-04-01 11:47:12	ga_ls8c_ard_3-2-0_114081_2021-04-01_final
2021-05-19 10:02:58	ga_ls8c_ard_3-2-0_098068_2021-05-19_final
2021-07-11 10:25:47	ga_ls8c_ard_3-2-0_101078_2021-07-11_final
2021-07-17 09:45:32	ga_ls8c_ard_3-2-0_095070_2021-07-17_final
2021-07-22 10:07:42	ga_ls8c_ard_3-2-0_098079_2021-07-22_final
2021-09-05 11:17:58	ga_ls8c_ard_3-2-0_109084_2021-09-05_final
2021-09-17 11:38:44	ga_ls8c_ard_3-2-0_113074_2021-09-17_final
2021-10-05 09:52:46	ga_ls8c_ard_3-2-0_095087_2021-10-05_final
2021-10-16 09:28:17	ga_ls8c_ard_3-2-0_092072_2021-10-15_final
2021-11-10 09:23:40	ga_ls8c_ard_3-2-0_091076_2021-11-09_final
2021-11-15 11:24:39	ga_ls8c_ard_3-2-0_110085_2021-11-15_final
2021-12-04 10:11:29	ga_ls8c_ard_3-2-0_099072_2021-12-04_final
2021-12-13 10:03:42	ga_ls8c_ard_3-2-1_098068_2021-12-13_final
2022-01-08 10:46:15	ga_ls8c_ard_3-2-1_104082_2022-01-08_final
2022-04-24 09:42:49	ga_ls8c_ard_3-2-1_094079_2022-04-24_final
2022-06-06 11:05:01	ga_ls8c_ard_3-2-1_107083_2022-06-06_final
2022-06-07 10:09:49	ga_ls8c_ard_3-2-1_098084_2022-06-07_final
2022-07-11 09:56:48	ga_ls8c_ard_3-2-1_096082_2022-07-11_final
2022-07-23 11:58:54	ga_ls8c_ard_3-2-1_116078_2022-07-23_final
2022-08-03 11:40:29	ga_ls8c_ard_3-2-1_113078_2022-08-03_final
2022-08-08 11:59:04	ga_ls8c_ard_3-2-1_116078_2022-08-08_final
2022-08-11 09:16:37	ga_ls8c_ard_3-2-1_089089_2022-08-10_final
2022-09-09 11:57:59	ga_ls8c_ard_3-2-1_116075_2022-09-09_final
2022-10-05 09:18:06	ga_ls8c_ard_3-2-1_090077_2022-10-04_final
2022-10-13 10:08:38	ga_ls8c_ard_3-2-1_098080_2022-10-13_final
2022-10-24 11:26:18	ga_ls8c_ard_3-2-1_111073_2022-10-24_final
2022-10-29 11:48:03	ga_ls8c_ard_3-2-1_114081_2022-10-29_final
2022-11-06 09:21:20	ga_ls8c_ard_3-2-1_090085_2022-11-05_final
2022-11-10 10:29:28	ga_ls8c_ard_3-2-1_102070_2022-11-10_final
2022-11-22 09:22:49	ga_ls8c_ard_3-2-1_090089_2022-11-21_final
2022-11-26 10:28:37	ga_ls8c_ard_3-2-1_102068_2022-11-26_final
2022-11-27 09:37:24	ga_ls8c_ard_3-2-1_093079_2022-11-27_final
2022-12-04 09:41:35	ga_ls8c_ard_3-2-1_094074_2022-12-04_final
2022-12-23 11:53:11	ga_ls8c_ard_3-2-1_115079_2022-12-23_final
2023-02-04 09:52:58	ga_ls8c_ard_3-2-1_096072_2023-02-04_final
2023-02-16 08:42:40	ga_ls8c_ard_3-2-1_084082_2023-02-15_final
2023-04-16 09:57:07	ga_ls8c_ard_3-2-1_097069_2023-04-16_final
2023-06-08 10:21:29	ga_ls8c_ard_3-2-1_100084_2023-06-08_final
2023-06-30 09:39:25	ga_ls8c_ard_3-2-1_094071_2023-06-30_final
2023-07-02 09:32:40	ga_ls8c_ard_3-2-1_092085_2023-07-02_final
2023-07-28 10:06:21	ga_ls8c_ard_3-2-1_098076_2023-07-28_final
2023-09-16 11:35:31	ga_ls8c_ard_3-2-1_112082_2023-09-16_final
2023-11-24 10:14:10	ga_ls8c_ard_3-2-1_099079_2023-11-24_final
2024-02-26 10:23:54	ga_ls8c_ard_3-2-1_101073_2024-02-26_final
2024-03-06 10:17:59	ga_ls8c_ard_3-2-1_100074_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years