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
2016-02-25 10:43:55	ga_ls8c_ard_3-1-0_104077_2016-02-25_final
2017-08-22 10:44:06	ga_ls8c_ard_3-1-0_104077_2017-08-22_final
2018-05-30 10:37:27	ga_ls8c_ard_3-1-0_103079_2018-05-30_final
2019-03-08 11:11:46	ga_ls8c_ard_3-1-0_109070_2019-03-08_final
2019-03-12 10:51:01	ga_ls8c_ard_3-1-0_105080_2019-03-12_final
2019-03-13 09:54:35	ga_ls8c_ard_3-1-0_096078_2019-03-13_final
2019-03-28 10:50:33	ga_ls8c_ard_3-1-0_105079_2019-03-28_final
2019-04-02 09:29:48	ga_ls8c_ard_3-1-0_092078_2019-04-01_final
2019-04-02 09:30:12	ga_ls8c_ard_3-1-0_092079_2019-04-02_final
2019-04-04 10:57:30	ga_ls8c_ard_3-1-0_106081_2019-04-04_final
2019-04-06 10:45:08	ga_ls8c_ard_3-1-0_104081_2019-04-06_final
2019-04-08 10:32:22	ga_ls8c_ard_3-1-0_102080_2019-04-08_final
2019-04-12 10:08:01	ga_ls8c_ard_3-1-0_098081_2019-04-12_final
2019-04-14 11:32:32	ga_ls8c_ard_3-1-0_112076_2019-04-14_final
2019-04-18 09:29:42	ga_ls8c_ard_3-1-0_092078_2019-04-17_final
2019-06-09 10:43:48	ga_ls8c_ard_3-1-0_104077_2019-06-09_final
2019-06-12 11:11:56	ga_ls8c_ard_3-1-0_109070_2019-06-12_final
2019-06-13 11:58:00	ga_ls8c_ard_3-1-0_116077_2019-06-13_final
2019-06-25 10:43:54	ga_ls8c_ard_3-1-0_104077_2019-06-25_final
2019-06-25 10:44:42	ga_ls8c_ard_3-1-0_104079_2019-06-25_final
2019-06-28 09:37:55	ga_ls8c_ard_3-1-0_093082_2019-06-28_final
2019-06-28 09:38:19	ga_ls8c_ard_3-1-0_093083_2019-06-28_final
2019-07-11 10:43:57	ga_ls8c_ard_3-1-0_104077_2019-07-11_final
2019-07-16 09:24:01	ga_ls8c_ard_3-1-0_091078_2019-07-15_final
2019-07-19 09:52:56	ga_ls8c_ard_3-1-0_096073_2019-07-19_final
2019-07-23 11:08:44	ga_ls8c_ard_3-1-0_108077_2019-07-23_final
2019-07-27 10:44:50	ga_ls8c_ard_3-1-0_104079_2019-07-27_final
2019-07-30 09:38:28	ga_ls8c_ard_3-1-0_093083_2019-07-30_final
2019-08-03 10:50:40	ga_ls8c_ard_3-1-0_105078_2019-08-03_final
2019-08-07 10:26:22	ga_ls8c_ard_3-1-0_101079_2019-08-07_final
2019-08-09 11:52:54	ga_ls8c_ard_3-1-0_115079_2019-08-09_final
2019-08-12 10:44:08	ga_ls8c_ard_3-1-0_104077_2019-08-12_final
2019-08-20 09:55:08	ga_ls8c_ard_3-1-0_096078_2019-08-20_final
2019-08-24 09:30:50	ga_ls8c_ard_3-1-0_092079_2019-08-24_final
2019-08-26 09:18:52	ga_ls8c_ard_3-1-0_090080_2019-08-25_final
2019-08-28 10:44:12	ga_ls8c_ard_3-1-0_104077_2019-08-28_final
2019-08-30 10:32:39	ga_ls8c_ard_3-1-0_102079_2019-08-30_final
2019-09-05 09:55:35	ga_ls8c_ard_3-1-0_096079_2019-09-05_final
2019-09-09 11:09:22	ga_ls8c_ard_3-1-0_108078_2019-09-09_final
2019-09-16 09:36:43	ga_ls8c_ard_3-1-0_093078_2019-09-16_final
2019-09-19 10:06:50	ga_ls8c_ard_3-1-0_098076_2019-09-19_final
2019-09-21 11:34:58	ga_ls8c_ard_3-1-0_112080_2019-09-21_final
2019-09-24 10:27:00	ga_ls8c_ard_3-1-0_101080_2019-09-24_final
2019-09-25 09:30:35	ga_ls8c_ard_3-1-0_092078_2019-09-25_final
2019-09-30 11:28:50	ga_ls8c_ard_3-1-0_111080_2019-09-30_final
2019-10-14 10:03:33	ga_ls8c_ard_3-1-0_097083_2019-10-14_final
2019-10-16 09:49:35	ga_ls8c_ard_3-1-0_095079_2019-10-16_final
2019-10-16 11:28:52	ga_ls8c_ard_3-1-0_111080_2019-10-16_final
2019-10-18 09:38:26	ga_ls8c_ard_3-1-0_093082_2019-10-18_final
2019-10-22 10:51:24	ga_ls8c_ard_3-1-0_105079_2019-10-22_final
2019-10-25 11:22:18	ga_ls8c_ard_3-1-0_110079_2019-10-25_final
2019-10-26 10:27:04	ga_ls8c_ard_3-1-0_101080_2019-10-26_final
2019-10-30 10:02:21	ga_ls8c_ard_3-1-0_097080_2019-10-30_final
2019-11-01 09:48:47	ga_ls8c_ard_3-1-0_095077_2019-11-01_final
2019-11-04 11:58:34	ga_ls8c_ard_3-1-0_116077_2019-11-04_final
2019-11-08 11:32:14	ga_ls8c_ard_3-1-0_112073_2019-11-08_final
2019-11-23 10:50:55	ga_ls8c_ard_3-1-0_105078_2019-11-23_final
2019-11-24 11:34:11	ga_ls8c_ard_3-1-0_112078_2019-11-24_final
2019-11-29 11:53:31	ga_ls8c_ard_3-1-0_115080_2019-11-29_final
2019-12-10 11:34:10	ga_ls8c_ard_3-1-0_112078_2019-12-10_final
2019-12-25 10:51:15	ga_ls8c_ard_3-1-0_105079_2019-12-25_final
2020-02-22 10:32:04	ga_ls8c_ard_3-1-0_102078_2020-02-22_final
2020-03-13 10:08:49	ga_ls8c_ard_3-1-0_098082_2020-03-13_final
2020-03-14 10:50:52	ga_ls8c_ard_3-1-0_105079_2020-03-14_final
2020-03-23 10:43:01	ga_ls8c_ard_3-1-0_104075_2020-03-23_final
2020-03-24 11:28:15	ga_ls8c_ard_3-1-0_111080_2020-03-24_final
2020-03-30 09:10:14	ga_ls8c_ard_3-1-0_089075_2020-03-29_final
2020-03-30 10:52:19	ga_ls8c_ard_3-1-0_105083_2020-03-30_final
2020-04-07 10:00:01	ga_ls8c_ard_3-1-0_097076_2020-04-07_final
2020-04-07 10:02:24	ga_ls8c_ard_3-1-0_097082_2020-04-07_final
2020-04-09 11:27:19	ga_ls8c_ard_3-1-0_111078_2020-04-09_final
2020-04-14 10:04:57	ga_ls8c_ard_3-1-0_098073_2020-04-14_final
2020-04-15 10:47:24	ga_ls8c_ard_3-1-0_105071_2020-04-15_final
2020-04-16 09:53:22	ga_ls8c_ard_3-1-0_096075_2020-04-16_final
2020-04-24 10:42:45	ga_ls8c_ard_3-1-0_104075_2020-04-24_final
2020-04-24 10:45:09	ga_ls8c_ard_3-1-0_104081_2020-04-24_final
2020-05-02 09:51:38	ga_ls8c_ard_3-1-0_096071_2020-05-02_final
2020-05-02 09:53:14	ga_ls8c_ard_3-1-0_096075_2020-05-02_final
2020-05-06 09:31:40	ga_ls8c_ard_3-1-0_092083_2020-05-06_final
2022-03-30 09:48:56	ga_ls8c_ard_3-2-1_095079_2022-03-30_final
2022-04-01 09:38:10	ga_ls8c_ard_3-2-1_093083_2022-04-01_final
2022-04-06 09:53:33	ga_ls8c_ard_3-2-1_096075_2022-04-06_final
2022-04-07 10:38:01	ga_ls8c_ard_3-2-1_103078_2022-04-07_final
2022-04-15 09:49:26	ga_ls8c_ard_3-2-1_095080_2022-04-15_final
2022-04-16 10:32:18	ga_ls8c_ard_3-2-1_102079_2022-04-16_final
2022-04-20 10:05:34	ga_ls8c_ard_3-2-1_098074_2022-04-20_final
2022-04-21 10:47:37	ga_ls8c_ard_3-2-1_105071_2022-04-21_final
2022-04-21 10:50:25	ga_ls8c_ard_3-2-1_105078_2022-04-21_final
2022-04-22 09:55:35	ga_ls8c_ard_3-2-1_096080_2022-04-22_final
2022-04-24 11:21:42	ga_ls8c_ard_3-2-1_110079_2022-04-24_final
2022-04-26 11:06:31	ga_ls8c_ard_3-2-1_108072_2022-04-26_final
2022-05-05 11:02:48	ga_ls8c_ard_3-2-1_107078_2022-05-05_final
2022-05-16 10:44:45	ga_ls8c_ard_3-2-1_104079_2022-05-16_final
2022-05-19 11:15:40	ga_ls8c_ard_3-2-1_109079_2022-05-19_final
2022-05-19 11:16:04	ga_ls8c_ard_3-2-1_109080_2022-05-19_final
2022-05-26 09:42:33	ga_ls8c_ard_3-2-1_094078_2022-05-26_final
2022-05-31 11:40:01	ga_ls8c_ard_3-2-1_113078_2022-05-31_final
2022-06-02 09:48:24	ga_ls8c_ard_3-2-1_095077_2022-06-02_final
2022-06-16 10:00:08	ga_ls8c_ard_3-2-1_097075_2022-06-16_final
2022-06-19 10:31:28	ga_ls8c_ard_3-2-1_102076_2022-06-19_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