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
2013-06-07 11:44:04	ga_ls8c_ard_3-0-0_113083_2013-06-07_final
2013-08-24 11:54:27	ga_ls8c_ard_3-0-0_115078_2013-08-24_final
2013-11-28 11:52:49	ga_ls8c_ard_3-0-0_115075_2013-11-28_final
2014-02-16 11:54:02	ga_ls8c_ard_3-0-0_115080_2014-02-16_final
2014-05-23 11:52:42	ga_ls8c_ard_3-0-0_115080_2014-05-23_final
2014-12-01 11:51:24	ga_ls8c_ard_3-0-0_115075_2014-12-01_final
2015-01-18 11:52:24	ga_ls8c_ard_3-0-0_115078_2015-01-18_final
2015-08-30 11:51:48	ga_ls8c_ard_3-0-0_115077_2015-08-30_final
2016-01-05 11:53:17	ga_ls8c_ard_3-0-0_115080_2016-01-05_final
2016-04-10 11:50:49	ga_ls8c_ard_3-0-0_115075_2016-04-10_final
2016-08-18 11:42:32	ga_ls8c_ard_3-0-0_113084_2016-08-18_final
2017-12-16 11:57:34	ga_ls8c_ard_3-0-0_116075_2017-12-16_final
2017-12-25 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-12-25_final
2018-04-16 11:52:30	ga_ls8c_ard_3-0-0_115080_2018-04-16_final
2018-07-07 11:41:09	ga_ls8c_ard_3-0-0_113083_2018-07-07_final
2018-08-06 11:50:33	ga_ls8c_ard_3-0-0_115075_2018-08-06_final
2018-09-23 11:52:04	ga_ls8c_ard_3-0-0_115078_2018-09-23_final
2018-11-01 11:57:18	ga_ls8c_ard_3-0-0_116075_2018-11-01_final
2018-11-01 11:57:42	ga_ls8c_ard_3-0-0_116076_2018-11-01_final
2019-08-11 11:38:34	ga_ls8c_ard_3-1-0_113074_2019-08-11_final
2019-09-10 11:52:39	ga_ls8c_ard_3-1-0_115078_2019-09-10_final
2019-10-12 11:51:35	ga_ls8c_ard_3-1-0_115075_2019-10-12_final
2019-10-28 11:51:36	ga_ls8c_ard_3-1-0_115075_2019-10-28_final
2019-12-16 09:20:59	ga_ls8c_ard_3-2-0_090085_2019-12-15_final
2019-12-16 09:22:59	ga_ls8c_ard_3-2-0_090090_2019-12-15_final
2020-01-16 11:50:59	ga_ls8c_ard_3-1-0_115074_2020-01-16_final
2020-03-20 11:51:25	ga_ls8c_ard_3-1-0_115076_2020-03-20_final
2020-07-10 11:53:02	ga_ls8c_ard_3-1-0_115080_2020-07-10_final
2020-10-07 11:47:21	ga_ls8c_ard_3-1-0_114080_2020-10-07_final
2020-11-10 09:52:04	ga_ls8c_ard_3-1-0_096070_2020-11-10_final
2020-11-17 11:35:57	ga_ls8c_ard_3-1-0_113067_2020-11-17_final
2020-12-08 10:17:39	ga_ls8c_ard_3-1-0_100072_2020-12-08_final
2020-12-13 10:39:47	ga_ls8c_ard_3-1-0_103081_2020-12-13_final
2020-12-18 10:57:55	ga_ls8c_ard_3-2-0_106080_2020-12-18_final
2020-12-21 09:47:08	ga_ls8c_ard_3-2-0_095073_2020-12-21_final
2021-01-10 09:27:05	ga_ls8c_ard_3-2-0_091085_2021-01-09_final
2021-01-11 10:05:09	ga_ls8c_ard_3-2-0_098072_2021-01-11_final
2021-01-14 10:36:02	ga_ls8c_ard_3-2-0_103072_2021-01-14_final
2021-01-22 09:47:21	ga_ls8c_ard_3-2-0_095074_2021-01-22_final
2021-02-03 10:14:26	ga_ls8c_ard_3-2-0_099080_2021-02-03_final
2021-02-22 10:40:52	ga_ls8c_ard_3-2-0_104069_2021-02-22_final
2021-03-04 11:17:52	ga_ls8c_ard_3-2-0_110069_2021-03-04_final
2021-03-11 09:51:53	ga_ls8c_ard_3-2-0_095086_2021-03-11_final
2021-03-13 09:39:06	ga_ls8c_ard_3-2-0_093085_2021-03-13_final
2021-03-15 09:26:19	ga_ls8c_ard_3-2-0_091084_2021-03-14_final
2021-03-30 10:16:41	ga_ls8c_ard_3-2-0_100071_2021-03-30_final
2021-04-02 09:12:41	ga_ls8c_ard_3-2-0_089081_2021-04-01_final
2021-04-04 10:34:24	ga_ls8c_ard_3-2-0_103069_2021-04-04_final
2021-04-12 09:45:43	ga_ls8c_ard_3-2-0_095071_2021-04-12_final
2021-04-24 11:52:49	ga_ls8c_ard_3-2-0_115080_2021-04-24_final
2021-05-14 09:51:58	ga_ls8c_ard_3-2-0_095087_2021-05-14_final
2021-05-14 11:24:52	ga_ls8c_ard_3-2-0_111072_2021-05-14_final
2021-05-18 09:26:53	ga_ls8c_ard_3-2-0_091086_2021-05-17_final
2021-05-19 10:02:35	ga_ls8c_ard_3-2-0_098067_2021-05-19_final
2021-05-20 10:51:50	ga_ls8c_ard_3-2-0_105082_2021-05-20_final
2021-05-23 11:23:34	ga_ls8c_ard_3-2-0_110084_2021-05-23_final
2021-05-26 11:52:54	ga_ls8c_ard_3-2-0_115080_2021-05-26_final
2021-05-29 09:06:03	ga_ls8c_ard_3-2-0_088080_2021-05-28_final
2021-06-08 09:45:12	ga_ls8c_ard_3-2-0_094085_2021-06-08_final
2021-06-24 11:22:58	ga_ls8c_ard_3-2-0_110082_2021-06-24_final
2021-06-27 10:15:00	ga_ls8c_ard_3-2-0_099082_2021-06-27_final
2021-07-03 09:39:56	ga_ls8c_ard_3-2-0_093087_2021-07-03_final
2021-07-05 11:02:04	ga_ls8c_ard_3-2-0_107076_2021-07-05_final
2021-07-12 11:11:27	ga_ls8c_ard_3-2-0_108084_2021-07-12_final
2021-07-15 10:03:28	ga_ls8c_ard_3-2-0_097084_2021-07-15_final
2021-07-17 09:52:19	ga_ls8c_ard_3-2-0_095087_2021-07-17_final
2021-07-26 11:17:55	ga_ls8c_ard_3-2-0_110069_2021-07-26_final
2021-07-30 09:21:56	ga_ls8c_ard_3-2-0_090088_2021-07-29_final
2021-07-31 11:41:17	ga_ls8c_ard_3-2-0_113081_2021-07-31_final
2021-08-11 11:24:01	ga_ls8c_ard_3-2-0_110084_2021-08-11_final
2021-08-12 10:22:49	ga_ls8c_ard_3-2-0_101070_2021-08-12_final
2021-09-14 09:28:09	ga_ls8c_ard_3-2-0_092072_2021-09-13_final
2021-09-14 09:29:20	ga_ls8c_ard_3-2-0_092075_2021-09-13_final
2021-09-29 10:23:02	ga_ls8c_ard_3-2-0_101070_2021-09-29_final
2021-10-11 09:16:55	ga_ls8c_ard_3-2-0_089090_2021-10-10_final
2021-10-27 09:12:57	ga_ls8c_ard_3-2-0_089080_2021-10-26_final
2021-11-06 11:30:05	ga_ls8c_ard_3-2-0_111083_2021-11-06_final
2021-11-08 11:17:19	ga_ls8c_ard_3-2-0_109082_2021-11-08_final
2021-11-22 09:46:45	ga_ls8c_ard_3-2-0_095072_2021-11-22_final
2021-11-22 09:47:33	ga_ls8c_ard_3-2-0_095074_2021-11-22_final
2021-11-25 10:18:27	ga_ls8c_ard_3-2-0_100074_2021-11-25_final
2021-11-28 10:52:33	ga_ls8c_ard_3-2-0_105082_2021-11-28_final
2021-12-06 11:38:48	ga_ls8c_ard_3-2-1_113074_2021-12-06_final
2021-12-10 09:35:12	ga_ls8c_ard_3-2-1_093074_2021-12-10_final
2021-12-10 11:14:05	ga_ls8c_ard_3-2-1_109074_2021-12-10_final
2021-12-12 11:05:18	ga_ls8c_ard_3-2-1_107083_2021-12-12_final
2021-12-16 10:34:35	ga_ls8c_ard_3-2-1_103068_2021-12-16_final
2021-12-20 11:52:44	ga_ls8c_ard_3-2-1_115078_2021-12-20_final
2021-12-21 10:53:54	ga_ls8c_ard_3-2-1_106070_2021-12-21_final
2021-12-26 11:17:12	ga_ls8c_ard_3-2-1_109082_2021-12-26_final
2021-12-27 10:22:22	ga_ls8c_ard_3-2-1_100084_2021-12-27_final
2022-01-02 09:41:16	ga_ls8c_ard_3-2-1_094074_2022-01-02_final
2022-01-05 10:14:34	ga_ls8c_ard_3-2-1_099080_2022-01-05_final
2022-01-29 09:28:36	ga_ls8c_ard_3-2-1_091089_2022-01-28_final
2022-02-04 10:27:36	ga_ls8c_ard_3-2-1_101082_2022-02-04_final
2022-02-06 10:16:26	ga_ls8c_ard_3-2-1_099085_2022-02-06_final
2022-02-19 11:24:20	ga_ls8c_ard_3-2-1_110085_2022-02-19_final
2022-02-22 10:15:56	ga_ls8c_ard_3-2-1_099084_2022-02-22_final
2022-03-08 10:27:28	ga_ls8c_ard_3-2-1_101082_2022-03-08_final
2022-03-10 11:51:11	ga_ls8c_ard_3-2-1_115075_2022-03-10_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