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
2014-07-29 10:43:57	ga_ls8c_ard_3-1-0_104077_2014-07-29_final
2015-01-24 09:32:23	ga_ls8c_ard_3-1-0_093068_2015-01-24_final
2015-10-20 10:44:04	ga_ls8c_ard_3-1-0_104077_2015-10-20_final
2018-08-13 10:17:07	ga_ls8c_ard_3-1-0_100073_2018-08-13_final
2018-11-29 10:43:56	ga_ls8c_ard_3-1-0_104077_2018-11-29_final
2018-12-15 10:43:53	ga_ls8c_ard_3-1-0_104077_2018-12-15_final
2019-03-15 11:22:17	ga_ls8c_ard_3-1-0_110081_2019-03-15_final
2019-03-25 11:56:57	ga_ls8c_ard_3-1-0_116075_2019-03-25_final
2019-03-28 10:49:45	ga_ls8c_ard_3-1-0_105077_2019-03-28_final
2019-04-02 09:29:24	ga_ls8c_ard_3-1-0_092077_2019-04-01_final
2019-04-05 09:59:29	ga_ls8c_ard_3-1-0_097075_2019-04-05_final
2019-04-06 10:42:44	ga_ls8c_ard_3-1-0_104075_2019-04-06_final
2019-04-17 10:22:56	ga_ls8c_ard_3-1-0_101072_2019-04-17_final
2019-06-12 11:12:20	ga_ls8c_ard_3-1-0_109071_2019-06-12_final
2019-06-17 09:56:25	ga_ls8c_ard_3-1-0_096082_2019-06-17_final
2019-06-25 10:41:30	ga_ls8c_ard_3-1-0_104071_2019-06-25_final
2019-06-28 11:12:49	ga_ls8c_ard_3-1-0_109072_2019-06-28_final
2019-07-05 09:43:44	ga_ls8c_ard_3-1-0_094081_2019-07-05_final
2019-07-09 09:19:25	ga_ls8c_ard_3-1-0_090082_2019-07-08_final
2019-07-18 09:12:28	ga_ls8c_ard_3-1-0_089080_2019-07-17_final
2019-07-19 09:56:08	ga_ls8c_ard_3-1-0_096081_2019-07-19_final
2019-07-21 09:43:23	ga_ls8c_ard_3-1-0_094080_2019-07-21_final
2019-07-23 11:05:32	ga_ls8c_ard_3-1-0_108069_2019-07-23_final
2019-07-24 11:52:48	ga_ls8c_ard_3-1-0_115079_2019-07-24_final
2019-07-26 09:58:46	ga_ls8c_ard_3-1-0_097072_2019-07-26_final
2019-07-28 09:49:37	ga_ls8c_ard_3-1-0_095080_2019-07-28_final
2019-08-09 11:53:18	ga_ls8c_ard_3-1-0_115080_2019-08-09_final
2019-08-11 10:00:28	ga_ls8c_ard_3-1-0_097076_2019-08-11_final
2019-08-12 10:41:45	ga_ls8c_ard_3-1-0_104071_2019-08-12_final
2019-08-12 10:43:20	ga_ls8c_ard_3-1-0_104075_2019-08-12_final
2019-08-22 11:22:52	ga_ls8c_ard_3-1-0_110081_2019-08-22_final
2019-09-02 09:25:05	ga_ls8c_ard_3-1-0_091080_2019-09-01_final
2019-09-12 10:01:49	ga_ls8c_ard_3-1-0_097079_2019-09-12_final
2019-09-13 10:41:53	ga_ls8c_ard_3-1-0_104071_2019-09-13_final
2019-09-13 10:43:53	ga_ls8c_ard_3-1-0_104076_2019-09-13_final
2019-09-18 09:25:58	ga_ls8c_ard_3-1-0_091082_2019-09-17_final
2019-09-20 10:47:43	ga_ls8c_ard_3-1-0_105070_2019-09-20_final
2019-09-20 10:48:54	ga_ls8c_ard_3-1-0_105073_2019-09-20_final
2019-09-21 11:30:11	ga_ls8c_ard_3-1-0_112068_2019-09-21_final
2019-09-28 10:01:54	ga_ls8c_ard_3-1-0_097079_2019-09-28_final
2019-10-02 09:40:47	ga_ls8c_ard_3-1-0_093088_2019-10-02_final
2019-10-07 09:52:57	ga_ls8c_ard_3-1-0_096072_2019-10-07_final
2019-10-07 09:56:09	ga_ls8c_ard_3-1-0_096080_2019-10-07_final
2019-10-13 10:57:34	ga_ls8c_ard_3-1-0_106079_2019-10-13_final
2019-10-15 09:07:55	ga_ls8c_ard_3-1-0_088083_2019-10-14_final
2019-10-15 10:41:13	ga_ls8c_ard_3-1-0_104069_2019-10-15_final
2019-10-21 11:46:37	ga_ls8c_ard_3-1-0_114078_2019-10-21_final
2019-10-23 09:50:59	ga_ls8c_ard_3-1-0_096067_2019-10-23_final
2019-10-23 09:56:10	ga_ls8c_ard_3-1-0_096080_2019-10-23_final
2019-10-24 10:35:51	ga_ls8c_ard_3-1-0_103071_2019-10-24_final
2019-10-24 10:39:26	ga_ls8c_ard_3-1-0_103080_2019-10-24_final
2019-10-27 11:11:08	ga_ls8c_ard_3-1-0_108082_2019-10-27_final
2019-10-29 10:57:34	ga_ls8c_ard_3-1-0_106079_2019-10-29_final
2019-10-31 10:43:37	ga_ls8c_ard_3-1-0_104075_2019-10-31_final
2019-11-01 11:26:52	ga_ls8c_ard_3-1-0_111075_2019-11-01_final
2019-11-03 11:13:19	ga_ls8c_ard_3-1-0_109072_2019-11-03_final
2019-11-06 11:45:48	ga_ls8c_ard_3-1-0_114076_2019-11-06_final
2019-11-12 09:30:13	ga_ls8c_ard_3-1-0_092077_2019-11-12_final
2019-11-14 10:57:32	ga_ls8c_ard_3-1-0_106079_2019-11-14_final
2019-11-17 09:51:32	ga_ls8c_ard_3-1-0_095084_2019-11-17_final
2019-11-17 11:26:49	ga_ls8c_ard_3-1-0_111075_2019-11-17_final
2019-11-22 10:09:15	ga_ls8c_ard_3-1-0_098082_2019-11-22_final
2019-12-02 10:43:32	ga_ls8c_ard_3-1-0_104075_2019-12-02_final
2019-12-03 11:27:36	ga_ls8c_ard_3-1-0_111077_2019-12-03_final
2019-12-11 10:35:45	ga_ls8c_ard_3-1-0_103071_2019-12-11_final
2019-12-28 09:44:27	ga_ls8c_ard_3-1-0_094082_2019-12-28_final
2020-01-04 09:51:48	ga_ls8c_ard_3-1-0_095085_2020-01-04_final
2020-01-08 09:24:16	ga_ls8c_ard_3-1-0_091078_2020-01-07_final
2020-01-08 09:24:40	ga_ls8c_ard_3-1-0_091079_2020-01-07_final
2020-01-09 10:09:08	ga_ls8c_ard_3-1-0_098082_2020-01-09_final
2020-01-13 09:44:24	ga_ls8c_ard_3-1-0_094082_2020-01-13_final
2020-01-13 11:22:29	ga_ls8c_ard_3-1-0_110080_2020-01-13_final
2020-01-24 11:04:17	ga_ls8c_ard_3-1-0_107081_2020-01-24_final
2020-01-25 10:08:40	ga_ls8c_ard_3-1-0_098081_2020-01-25_final
2020-01-29 09:46:19	ga_ls8c_ard_3-1-0_094087_2020-01-29_final
2020-02-05 09:46:04	ga_ls8c_ard_3-1-0_095071_2020-02-05_final
2020-02-07 09:36:30	ga_ls8c_ard_3-1-0_093078_2020-02-07_final
2020-02-13 10:36:41	ga_ls8c_ard_3-1-0_103074_2020-02-13_final
2020-02-14 09:44:15	ga_ls8c_ard_3-1-0_094082_2020-02-14_final
2020-02-20 10:43:38	ga_ls8c_ard_3-1-0_104076_2020-02-20_final
2020-02-27 10:51:46	ga_ls8c_ard_3-1-0_105081_2020-02-27_final
2020-03-03 09:30:12	ga_ls8c_ard_3-1-0_092078_2020-03-03_final
2020-03-08 11:27:36	ga_ls8c_ard_3-1-0_111078_2020-03-08_final
2020-03-10 11:14:49	ga_ls8c_ard_3-1-0_109077_2020-03-10_final
2020-03-19 11:06:10	ga_ls8c_ard_3-1-0_108071_2020-03-19_final
2020-03-25 10:29:26	ga_ls8c_ard_3-1-0_102072_2020-03-25_final
2020-03-26 11:14:41	ga_ls8c_ard_3-1-0_109077_2020-03-26_final
2020-03-26 11:15:53	ga_ls8c_ard_3-1-0_109080_2020-03-26_final
2020-03-27 10:20:39	ga_ls8c_ard_3-1-0_100081_2020-03-27_final
2020-03-29 11:44:45	ga_ls8c_ard_3-1-0_114075_2020-03-29_final
2020-04-14 10:08:09	ga_ls8c_ard_3-1-0_098081_2020-04-14_final
2020-04-18 09:43:47	ga_ls8c_ard_3-1-0_094082_2020-04-18_final
2020-05-06 11:08:57	ga_ls8c_ard_3-1-0_108079_2020-05-06_final
2022-04-01 09:38:34	ga_ls8c_ard_3-2-1_093084_2022-04-01_final
2022-04-01 11:15:03	ga_ls8c_ard_3-2-1_109078_2022-04-01_final
2022-04-12 09:18:31	ga_ls8c_ard_3-2-1_090080_2022-04-11_final
2022-04-17 09:36:40	ga_ls8c_ard_3-2-1_093079_2022-04-17_final
2022-04-26 09:32:02	ga_ls8c_ard_3-2-1_092083_2022-04-26_final
2022-05-08 11:32:56	ga_ls8c_ard_3-2-1_112076_2022-05-08_final
2022-05-24 09:54:07	ga_ls8c_ard_3-2-1_096076_2022-05-24_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