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
2013-07-18 11:31:27	ga_ls8c_ard_3-0-0_112067_2013-07-18_final
2013-10-06 09:52:29	ga_ls8c_ard_3-0-0_096067_2013-10-06_final
2013-12-21 10:19:10	ga_ls8c_ard_3-0-0_100073_2013-12-21_final
2013-12-30 10:12:08	ga_ls8c_ard_3-0-0_099071_2013-12-30_final
2014-01-20 10:32:24	ga_ls8c_ard_3-0-0_102076_2014-01-20_final
2014-02-16 10:16:21	ga_ls8c_ard_3-0-0_099083_2014-02-16_final
2014-03-08 11:24:39	ga_ls8c_ard_3-0-0_111069_2014-03-08_final
2014-03-18 10:23:09	ga_ls8c_ard_3-0-0_101070_2014-03-18_final
2014-03-24 11:24:26	ga_ls8c_ard_3-0-0_111069_2014-03-24_final
2014-09-03 10:21:48	ga_ls8c_ard_3-0-0_100083_2014-09-03_final
2015-02-07 11:23:12	ga_ls8c_ard_3-0-0_111067_2015-02-07_final
2015-03-14 11:56:59	ga_ls8c_ard_3-0-0_116075_2015-03-14_final
2015-04-16 11:04:44	ga_ls8c_ard_3-0-0_107084_2015-04-16_final
2015-07-27 10:22:18	ga_ls8c_ard_3-0-0_101070_2015-07-27_final
2015-08-02 11:22:55	ga_ls8c_ard_3-0-0_111067_2015-08-02_final
2015-08-21 11:57:32	ga_ls8c_ard_3-0-0_116076_2015-08-21_final
2015-10-25 09:20:10	ga_ls8c_ard_3-0-0_091068_2015-10-24_final
2015-11-12 09:11:25	ga_ls8c_ard_3-0-0_089077_2015-11-11_final
2016-04-08 10:22:19	ga_ls8c_ard_3-0-0_101070_2016-04-08_final
2016-04-29 09:07:06	ga_ls8c_ard_3-0-0_088083_2016-04-28_final
2016-05-02 11:14:09	ga_ls8c_ard_3-0-0_109076_2016-05-02_final
2016-07-06 11:57:16	ga_ls8c_ard_3-0-0_116075_2016-07-06_final
2016-07-06 11:57:40	ga_ls8c_ard_3-0-0_116076_2016-07-06_final
2016-08-17 09:22:46	ga_ls8c_ard_3-0-0_090090_2016-08-16_final
2016-08-29 09:39:59	ga_ls8c_ard_3-0-0_094071_2016-08-29_final
2016-09-14 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-14_final
2016-11-02 10:23:02	ga_ls8c_ard_3-0-0_101070_2016-11-02_final
2016-11-12 09:29:12	ga_ls8c_ard_3-0-0_091090_2016-11-11_final
2017-03-22 09:12:10	ga_ls8c_ard_3-0-0_089080_2017-03-21_final
2017-04-15 09:56:38	ga_ls8c_ard_3-0-0_097068_2017-04-15_final
2017-05-22 11:57:18	ga_ls8c_ard_3-0-0_116076_2017-05-22_final
2017-07-08 11:17:31	ga_ls8c_ard_3-0-0_109084_2017-07-08_final
2017-07-25 10:21:36	ga_ls8c_ard_3-0-0_100083_2017-07-25_final
2017-08-13 10:52:38	ga_ls8c_ard_3-0-0_105083_2017-08-13_final
2017-09-15 11:29:59	ga_ls8c_ard_3-0-0_112068_2017-09-15_final
2017-10-19 09:40:31	ga_ls8c_ard_3-0-0_094072_2017-10-19_final
2017-11-23 10:10:31	ga_ls8c_ard_3-0-0_099070_2017-11-23_final
2017-11-30 10:19:27	ga_ls8c_ard_3-0-0_100077_2017-11-30_final
2017-12-16 10:17:05	ga_ls8c_ard_3-0-0_100071_2017-12-16_final
2018-01-20 10:47:01	ga_ls8c_ard_3-0-0_105069_2018-01-20_final
2018-02-11 10:10:33	ga_ls8c_ard_3-0-0_099071_2018-02-11_final
2018-03-09 09:10:57	ga_ls8c_ard_3-0-0_089077_2018-03-08_final
2018-07-12 11:56:32	ga_ls8c_ard_3-0-0_116075_2018-07-12_final
2018-08-13 11:56:48	ga_ls8c_ard_3-0-0_116075_2018-08-13_final
2018-09-21 10:22:20	ga_ls8c_ard_3-0-0_101070_2018-09-21_final
2018-11-03 11:41:45	ga_ls8c_ard_3-0-0_114067_2018-11-03_final
2018-12-20 09:19:58	ga_ls8c_ard_3-0-0_091068_2018-12-19_final
2018-12-20 09:27:57	ga_ls8c_ard_3-0-0_091088_2018-12-19_final
2018-12-22 09:16:23	ga_ls8c_ard_3-0-0_089090_2018-12-21_final
2019-06-15 11:47:15	ga_ls8c_ard_3-1-0_114081_2019-06-15_final
2019-06-29 10:21:35	ga_ls8c_ard_3-1-0_100083_2019-06-29_final
2019-07-16 09:28:25	ga_ls8c_ard_3-1-0_091089_2019-07-15_final
2019-09-20 10:49:42	ga_ls8c_ard_3-1-0_105075_2019-09-20_final
2019-10-15 09:06:43	ga_ls8c_ard_3-1-0_088080_2019-10-14_final
2020-02-17 10:10:45	ga_ls8c_ard_3-1-0_099071_2020-02-17_final
2020-03-05 10:58:43	ga_ls8c_ard_3-1-0_106083_2020-03-05_final
2020-04-19 10:22:15	ga_ls8c_ard_3-1-0_101070_2020-04-19_final
2020-07-02 11:05:08	ga_ls8c_ard_3-1-0_107084_2020-07-02_final
2020-07-10 10:13:21	ga_ls8c_ard_3-1-0_099078_2020-07-10_final
2020-07-30 11:24:02	ga_ls8c_ard_3-1-0_111069_2020-07-30_final
2020-08-18 11:57:25	ga_ls8c_ard_3-1-0_116075_2020-08-18_final
2020-09-03 11:57:33	ga_ls8c_ard_3-1-0_116075_2020-09-03_final
2020-09-20 11:05:14	ga_ls8c_ard_3-1-0_107083_2020-09-20_final
2020-10-05 11:57:43	ga_ls8c_ard_3-1-0_116075_2020-10-05_final
2020-10-17 09:06:40	ga_ls8c_ard_3-1-0_088080_2020-10-16_final
2020-10-23 10:02:53	ga_ls8c_ard_3-2-1_098066_2020-10-23_final
2020-11-17 09:57:04	ga_ls8c_ard_3-1-0_097067_2020-11-17_final
2020-11-27 10:39:46	ga_ls8c_ard_3-1-0_103081_2020-11-27_final
2020-12-05 11:26:02	ga_ls8c_ard_3-1-0_111073_2020-12-05_final
2020-12-07 09:34:48	ga_ls8c_ard_3-1-0_093073_2020-12-07_final
2020-12-14 09:40:58	ga_ls8c_ard_3-1-0_094073_2020-12-14_final
2020-12-23 11:12:03	ga_ls8c_ard_3-2-0_109069_2020-12-23_final
2021-01-05 10:42:41	ga_ls8c_ard_3-2-0_104073_2021-01-05_final
2021-01-06 08:10:58	ga_ls8c_ard_3-2-1_079080_2021-01-05_final
2021-01-31 09:40:21	ga_ls8c_ard_3-2-0_094072_2021-01-31_final
2021-02-04 10:53:43	ga_ls8c_ard_3-2-0_106070_2021-02-04_final
2021-03-23 10:09:20	ga_ls8c_ard_3-2-0_099068_2021-03-23_final
2021-04-17 11:41:31	ga_ls8c_ard_3-2-0_114067_2021-04-17_final
2021-05-09 09:28:10	ga_ls8c_ard_3-2-0_092074_2021-05-08_final
2021-07-01 11:23:59	ga_ls8c_ard_3-2-0_111069_2021-07-01_final
2021-07-03 09:34:20	ga_ls8c_ard_3-2-0_093073_2021-07-03_final
2021-07-21 09:21:39	ga_ls8c_ard_3-2-0_091072_2021-07-20_final
2021-10-10 11:47:49	ga_ls8c_ard_3-2-0_114081_2021-10-10_final
2021-10-19 09:57:36	ga_ls8c_ard_3-2-0_097068_2021-10-19_final
2021-11-13 09:51:45	ga_ls8c_ard_3-2-0_096069_2021-11-13_final
2021-11-30 10:39:48	ga_ls8c_ard_3-2-0_103081_2021-11-30_final
2022-02-02 10:39:34	ga_ls8c_ard_3-2-1_103081_2022-02-02_final
2022-02-26 08:10:44	ga_ls8c_ard_3-2-1_079080_2022-02-25_final
2022-03-11 10:58:45	ga_ls8c_ard_3-2-1_106083_2022-03-11_final
2022-08-02 10:59:12	ga_ls8c_ard_3-2-1_106083_2022-08-02_final
2022-09-09 11:57:59	ga_ls8c_ard_3-2-1_116075_2022-09-09_final
2022-09-09 11:58:22	ga_ls8c_ard_3-2-1_116076_2022-09-09_final
2022-11-19 10:23:12	ga_ls8c_ard_3-2-1_101070_2022-11-19_final
2022-11-28 11:57:57	ga_ls8c_ard_3-2-1_116075_2022-11-28_final
2022-11-28 11:58:21	ga_ls8c_ard_3-2-1_116076_2022-11-28_final
2022-12-10 10:45:45	ga_ls8c_ard_3-2-1_104080_2022-12-10_final
2023-04-04 09:34:34	ga_ls8c_ard_3-2-1_093074_2023-04-04_final
2023-04-27 09:45:19	ga_ls8c_ard_3-2-1_094086_2023-04-27_final
2023-08-10 11:15:58	ga_ls8c_ard_3-2-1_109080_2023-08-10_final
2023-12-27 10:58:34	ga_ls8c_ard_3-2-1_106082_2023-12-27_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