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
2014-10-07 10:08:20	ga_ls8c_ard_3-0-0_098080_2014-10-07_final
2014-10-07 11:47:13	ga_ls8c_ard_3-0-0_114080_2014-10-07_final
2014-10-08 09:12:43	ga_ls8c_ard_3-0-0_089080_2014-10-07_final
2014-10-08 10:51:36	ga_ls8c_ard_3-0-0_105080_2014-10-08_final
2014-10-09 09:55:58	ga_ls8c_ard_3-0-0_096080_2014-10-09_final
2014-10-09 11:34:51	ga_ls8c_ard_3-0-0_112080_2014-10-09_final
2014-10-10 10:39:14	ga_ls8c_ard_3-0-0_103080_2014-10-10_final
2014-10-11 09:43:37	ga_ls8c_ard_3-0-0_094080_2014-10-11_final
2014-10-11 11:22:30	ga_ls8c_ard_3-0-0_110080_2014-10-11_final
2014-10-12 10:26:53	ga_ls8c_ard_3-0-0_101080_2014-10-12_final
2014-12-13 10:39:07	ga_ls8c_ard_3-0-0_103080_2014-12-13_final
2014-12-14 09:43:30	ga_ls8c_ard_3-0-0_094080_2014-12-14_final
2014-12-14 11:22:24	ga_ls8c_ard_3-0-0_110080_2014-12-14_final
2014-12-15 10:26:47	ga_ls8c_ard_3-0-0_101080_2014-12-15_final
2014-12-16 09:31:10	ga_ls8c_ard_3-0-0_092080_2014-12-16_final
2014-12-16 11:10:03	ga_ls8c_ard_3-0-0_108080_2014-12-16_final
2014-12-17 10:14:26	ga_ls8c_ard_3-0-0_099080_2014-12-17_final
2014-12-17 11:53:19	ga_ls8c_ard_3-0-0_115080_2014-12-17_final
2014-12-18 09:18:49	ga_ls8c_ard_3-0-0_090080_2014-12-17_final
2014-12-18 10:57:42	ga_ls8c_ard_3-0-0_106080_2014-12-18_final
2015-02-27 09:24:40	ga_ls8c_ard_3-0-0_091080_2015-02-26_final
2015-02-27 11:03:33	ga_ls8c_ard_3-0-0_107080_2015-02-27_final
2015-06-17 09:36:32	ga_ls8c_ard_3-0-0_093080_2015-06-17_final
2015-06-17 11:15:25	ga_ls8c_ard_3-0-0_109080_2015-06-17_final
2015-06-18 10:19:48	ga_ls8c_ard_3-0-0_100080_2015-06-18_final
2015-06-19 09:24:11	ga_ls8c_ard_3-0-0_091080_2015-06-18_final
2015-06-19 11:03:04	ga_ls8c_ard_3-0-0_107080_2015-06-19_final
2020-06-13 10:32:29	ga_ls8c_ard_3-1-0_102080_2020-06-13_final
2020-06-14 09:36:52	ga_ls8c_ard_3-1-0_093080_2020-06-14_final
2020-06-14 11:15:45	ga_ls8c_ard_3-1-0_109080_2020-06-14_final
2020-06-20 10:38:44	ga_ls8c_ard_3-1-0_103080_2020-06-20_final
2020-06-21 09:43:07	ga_ls8c_ard_3-1-0_094080_2020-06-21_final
2020-06-21 11:22:00	ga_ls8c_ard_3-1-0_110080_2020-06-21_final
2020-06-22 10:25:59	ga_ls8c_ard_3-1-0_101079_2020-06-22_final
2020-06-22 10:26:23	ga_ls8c_ard_3-1-0_101080_2020-06-22_final
2020-07-18 09:24:46	ga_ls8c_ard_3-1-0_091080_2020-07-17_final
2020-07-18 11:03:39	ga_ls8c_ard_3-1-0_107080_2020-07-18_final
2020-08-15 09:49:36	ga_ls8c_ard_3-1-0_095080_2020-08-15_final
2020-08-16 10:32:53	ga_ls8c_ard_3-1-0_102080_2020-08-16_final
2020-08-17 09:37:16	ga_ls8c_ard_3-1-0_093080_2020-08-17_final
2020-08-17 11:16:09	ga_ls8c_ard_3-1-0_109080_2020-08-17_final
2020-08-18 10:20:32	ga_ls8c_ard_3-1-0_100080_2020-08-18_final
2021-01-02 11:53:28	ga_ls8c_ard_3-2-0_115080_2021-01-02_final
2021-01-03 09:18:58	ga_ls8c_ard_3-2-0_090080_2021-01-02_final
2021-01-03 10:57:51	ga_ls8c_ard_3-2-0_106080_2021-01-03_final
2021-01-08 09:37:28	ga_ls8c_ard_3-2-0_093080_2021-01-08_final
2021-01-08 11:16:21	ga_ls8c_ard_3-2-0_109080_2021-01-08_final
2021-01-09 10:20:43	ga_ls8c_ard_3-2-0_100080_2021-01-09_final
2021-01-14 10:39:13	ga_ls8c_ard_3-2-0_103080_2021-01-14_final
2021-01-15 09:43:35	ga_ls8c_ard_3-2-0_094080_2021-01-15_final
2021-02-17 10:26:45	ga_ls8c_ard_3-2-0_101080_2021-02-17_final
2021-02-18 09:31:07	ga_ls8c_ard_3-2-0_092080_2021-02-18_final
2021-03-03 10:39:00	ga_ls8c_ard_3-2-0_103080_2021-03-03_final
2021-03-04 09:43:23	ga_ls8c_ard_3-2-0_094080_2021-03-04_final
2021-03-04 11:22:16	ga_ls8c_ard_3-2-0_110080_2021-03-04_final
2022-01-22 10:57:46	ga_ls8c_ard_3-2-1_106080_2022-01-22_final
2022-01-23 10:02:08	ga_ls8c_ard_3-2-1_097080_2022-01-23_final
2022-01-23 11:41:01	ga_ls8c_ard_3-2-1_113080_2022-01-23_final
2022-01-24 09:06:30	ga_ls8c_ard_3-2-1_088080_2022-01-23_final
2022-01-24 10:45:23	ga_ls8c_ard_3-2-1_104080_2022-01-24_final
2022-01-25 08:10:52	ga_ls8c_ard_3-2-1_079080_2022-01-24_final
2022-01-25 09:49:45	ga_ls8c_ard_3-2-1_095080_2022-01-25_final
2022-01-25 11:28:38	ga_ls8c_ard_3-2-1_111080_2022-01-25_final
2022-04-20 11:46:51	ga_ls8c_ard_3-2-1_114080_2022-04-20_final
2022-04-21 09:12:20	ga_ls8c_ard_3-2-1_089080_2022-04-20_final
2022-04-21 10:51:13	ga_ls8c_ard_3-2-1_105080_2022-04-21_final
2022-04-22 09:55:35	ga_ls8c_ard_3-2-1_096080_2022-04-22_final
2022-04-22 11:34:28	ga_ls8c_ard_3-2-1_112080_2022-04-22_final
2022-04-23 10:38:50	ga_ls8c_ard_3-2-1_103080_2022-04-23_final
2022-04-24 09:43:13	ga_ls8c_ard_3-2-1_094080_2022-04-24_final
2022-04-24 11:22:06	ga_ls8c_ard_3-2-1_110080_2022-04-24_final
2022-04-25 10:26:04	ga_ls8c_ard_3-2-1_101079_2022-04-25_final
2022-04-25 10:26:28	ga_ls8c_ard_3-2-1_101080_2022-04-25_final
2022-04-29 11:40:36	ga_ls8c_ard_3-2-1_113080_2022-04-29_final
2022-04-30 09:06:06	ga_ls8c_ard_3-2-1_088080_2022-04-29_final
2022-04-30 10:44:59	ga_ls8c_ard_3-2-1_104080_2022-04-30_final
2022-05-01 08:10:30	ga_ls8c_ard_3-2-1_079080_2022-04-30_final
2022-05-01 09:49:23	ga_ls8c_ard_3-2-1_095080_2022-05-01_final
2022-05-01 11:28:16	ga_ls8c_ard_3-2-1_111080_2022-05-01_final
2022-05-02 10:32:39	ga_ls8c_ard_3-2-1_102080_2022-05-02_final
2022-05-03 09:37:03	ga_ls8c_ard_3-2-1_093080_2022-05-03_final
2022-05-03 11:15:56	ga_ls8c_ard_3-2-1_109080_2022-05-03_final
2022-05-04 10:20:19	ga_ls8c_ard_3-2-1_100080_2022-05-04_final
2022-05-05 09:24:43	ga_ls8c_ard_3-2-1_091080_2022-05-04_final
2022-05-05 11:03:36	ga_ls8c_ard_3-2-1_107080_2022-05-05_final
2022-05-06 10:07:59	ga_ls8c_ard_3-2-1_098080_2022-05-06_final
2022-05-06 11:46:52	ga_ls8c_ard_3-2-1_114080_2022-05-06_final
2022-05-07 09:12:22	ga_ls8c_ard_3-2-1_089080_2022-05-06_final
2022-05-07 10:51:15	ga_ls8c_ard_3-2-1_105080_2022-05-07_final
2022-05-24 11:34:36	ga_ls8c_ard_3-2-1_112080_2022-05-24_final
2022-05-25 10:38:58	ga_ls8c_ard_3-2-1_103080_2022-05-25_final
2022-05-26 09:43:21	ga_ls8c_ard_3-2-1_094080_2022-05-26_final
2022-05-26 11:22:14	ga_ls8c_ard_3-2-1_110080_2022-05-26_final
2022-05-27 10:26:36	ga_ls8c_ard_3-2-1_101080_2022-05-27_final
2022-05-28 09:30:59	ga_ls8c_ard_3-2-1_092080_2022-05-28_final
2022-05-28 11:09:52	ga_ls8c_ard_3-2-1_108080_2022-05-28_final
2022-05-29 10:14:15	ga_ls8c_ard_3-2-1_099080_2022-05-29_final
2022-05-29 11:53:09	ga_ls8c_ard_3-2-1_115080_2022-05-29_final
2022-05-30 09:18:39	ga_ls8c_ard_3-2-1_090080_2022-05-29_final
2022-05-30 10:57:32	ga_ls8c_ard_3-2-1_106080_2022-05-30_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