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
2013-03-28 09:16:17	ga_ls8c_ard_3-1-0_090078_2013-03-27_final
2014-05-26 09:06:16	ga_ls8c_ard_3-1-0_088081_2014-05-25_final
2014-06-11 09:06:25	ga_ls8c_ard_3-1-0_088081_2014-06-10_final
2017-03-31 09:06:19	ga_ls8c_ard_3-1-0_088081_2017-03-30_final
2019-03-12 09:16:07	ga_ls8c_ard_3-1-0_089090_2019-03-11_final
2019-03-19 09:19:05	ga_ls8c_ard_3-1-0_090082_2019-03-18_final
2019-03-27 10:08:54	ga_ls8c_ard_3-1-0_098083_2019-03-27_final
2019-04-02 09:25:48	ga_ls8c_ard_3-1-0_092068_2019-04-01_final
2019-04-05 09:58:17	ga_ls8c_ard_3-1-0_097072_2019-04-05_final
2019-04-07 09:46:43	ga_ls8c_ard_3-1-0_095074_2019-04-07_final
2019-04-18 11:06:59	ga_ls8c_ard_3-1-0_108074_2019-04-18_final
2019-04-18 11:07:23	ga_ls8c_ard_3-1-0_108075_2019-04-18_final
2019-06-15 11:44:27	ga_ls8c_ard_3-1-0_114074_2019-06-15_final
2019-06-24 10:01:26	ga_ls8c_ard_3-1-0_097079_2019-06-24_final
2019-06-28 09:39:07	ga_ls8c_ard_3-1-0_093085_2019-06-28_final
2019-07-07 11:07:28	ga_ls8c_ard_3-1-0_108074_2019-07-07_final
2019-07-08 10:11:03	ga_ls8c_ard_3-1-0_099072_2019-07-08_final
2019-07-16 09:24:25	ga_ls8c_ard_3-1-0_091079_2019-07-15_final
2019-07-18 09:14:52	ga_ls8c_ard_3-1-0_089086_2019-07-17_final
2019-07-18 09:16:27	ga_ls8c_ard_3-1-0_089090_2019-07-17_final
2019-07-23 09:33:02	ga_ls8c_ard_3-1-0_092085_2019-07-23_final
2019-07-27 09:07:33	ga_ls8c_ard_3-1-0_088083_2019-07-26_final
2019-08-01 09:23:44	ga_ls8c_ard_3-1-0_091077_2019-07-31_final
2019-08-13 11:28:36	ga_ls8c_ard_3-1-0_111080_2019-08-13_final
2019-08-25 10:09:42	ga_ls8c_ard_3-1-0_099068_2019-08-25_final
2019-09-03 10:04:45	ga_ls8c_ard_3-1-0_098071_2019-09-03_final
2019-09-14 09:46:40	ga_ls8c_ard_3-1-0_095072_2019-09-14_final
2019-09-14 09:47:04	ga_ls8c_ard_3-1-0_095073_2019-09-14_final
2019-09-16 09:40:19	ga_ls8c_ard_3-1-0_093087_2019-09-16_final
2019-09-18 09:27:10	ga_ls8c_ard_3-1-0_091085_2019-09-17_final
2019-09-19 11:42:08	ga_ls8c_ard_3-1-0_114067_2019-09-19_final
2019-09-25 09:26:36	ga_ls8c_ard_3-1-0_092068_2019-09-24_final
2019-10-02 09:34:24	ga_ls8c_ard_3-1-0_093072_2019-10-02_final
2019-10-09 11:20:17	ga_ls8c_ard_3-1-0_110074_2019-10-09_final
2019-10-10 10:27:51	ga_ls8c_ard_3-1-0_101082_2019-10-10_final
2019-10-14 09:58:21	ga_ls8c_ard_3-1-0_097070_2019-10-14_final
2019-10-23 11:32:16	ga_ls8c_ard_3-1-0_112073_2019-10-23_final
2019-10-28 10:15:31	ga_ls8c_ard_3-1-0_099082_2019-10-28_final
2019-10-29 09:18:17	ga_ls8c_ard_3-1-0_090078_2019-10-28_final
2019-10-30 09:58:45	ga_ls8c_ard_3-1-0_097071_2019-10-30_final
2019-11-05 09:24:03	ga_ls8c_ard_3-1-0_091077_2019-11-04_final
2019-11-05 09:26:03	ga_ls8c_ard_3-1-0_091082_2019-11-04_final
2019-11-05 09:27:39	ga_ls8c_ard_3-1-0_091086_2019-11-04_final
2019-11-08 09:52:33	ga_ls8c_ard_3-1-0_096071_2019-11-08_final
2019-11-11 10:23:27	ga_ls8c_ard_3-1-0_101071_2019-11-11_final
2019-11-12 11:09:54	ga_ls8c_ard_3-1-0_108079_2019-11-12_final
2019-11-14 10:57:08	ga_ls8c_ard_3-1-0_106078_2019-11-14_final
2019-11-17 09:50:44	ga_ls8c_ard_3-1-0_095082_2019-11-17_final
2019-11-17 11:25:38	ga_ls8c_ard_3-1-0_111072_2019-11-17_final
2019-11-18 10:28:24	ga_ls8c_ard_3-1-0_102068_2019-11-18_final
2019-11-18 10:30:00	ga_ls8c_ard_3-1-0_102072_2019-11-18_final
2019-11-23 10:47:43	ga_ls8c_ard_3-1-0_105070_2019-11-23_final
2019-11-24 09:58:29	ga_ls8c_ard_3-1-0_096086_2019-11-24_final
2019-11-29 11:51:55	ga_ls8c_ard_3-1-0_115076_2019-11-29_final
2019-12-01 09:58:41	ga_ls8c_ard_3-1-0_097071_2019-12-01_final
2019-12-02 10:41:33	ga_ls8c_ard_3-1-0_104070_2019-12-02_final
2019-12-03 09:46:43	ga_ls8c_ard_3-1-0_095072_2019-12-03_final
2019-12-05 11:14:50	ga_ls8c_ard_3-1-0_109076_2019-12-05_final
2019-12-09 10:48:55	ga_ls8c_ard_3-1-0_105073_2019-12-09_final
2019-12-12 11:20:13	ga_ls8c_ard_3-1-0_110074_2019-12-12_final
2019-12-23 09:20:21	ga_ls8c_ard_3-1-0_091068_2019-12-22_final
2019-12-25 09:15:10	ga_ls8c_ard_3-1-0_089086_2019-12-24_final
2019-12-28 11:21:21	ga_ls8c_ard_3-1-0_110077_2019-12-28_final
2020-01-01 09:23:18	ga_ls8c_ard_3-1-0_090091_2019-12-31_final
2020-01-11 09:57:34	ga_ls8c_ard_3-1-0_096084_2020-01-11_final
2020-01-12 10:38:26	ga_ls8c_ard_3-1-0_103078_2020-01-12_final
2020-01-16 10:15:17	ga_ls8c_ard_3-1-0_099082_2020-01-16_final
2020-01-19 10:40:59	ga_ls8c_ard_3-1-0_104069_2020-01-19_final
2020-01-22 09:32:12	ga_ls8c_ard_3-1-0_093067_2020-01-22_final
2020-01-22 09:35:47	ga_ls8c_ard_3-1-0_093076_2020-01-22_final
2020-01-24 09:27:48	ga_ls8c_ard_3-1-0_091087_2020-01-23_final
2020-01-31 11:09:38	ga_ls8c_ard_3-1-0_108079_2020-01-31_final
2020-02-02 09:19:34	ga_ls8c_ard_3-1-0_090082_2020-02-01_final
2020-02-02 09:22:22	ga_ls8c_ard_3-1-0_090089_2020-02-01_final
2020-02-03 10:03:37	ga_ls8c_ard_3-1-0_097084_2020-02-03_final
2020-02-04 10:40:30	ga_ls8c_ard_3-1-0_104068_2020-02-04_final
2020-02-05 11:26:33	ga_ls8c_ard_3-1-0_111075_2020-02-05_final
2020-02-07 11:17:22	ga_ls8c_ard_3-1-0_109083_2020-02-07_final
2020-03-10 09:39:08	ga_ls8c_ard_3-1-0_093085_2020-03-10_final
2020-03-13 10:04:49	ga_ls8c_ard_3-1-0_098072_2020-03-13_final
2020-03-13 10:06:49	ga_ls8c_ard_3-1-0_098077_2020-03-13_final
2020-03-14 09:14:23	ga_ls8c_ard_3-1-0_089085_2020-03-13_final
2020-03-15 11:34:55	ga_ls8c_ard_3-1-0_112081_2020-03-15_final
2020-03-22 10:01:45	ga_ls8c_ard_3-1-0_097080_2020-03-22_final
2020-03-25 10:29:50	ga_ls8c_ard_3-1-0_102073_2020-03-25_final
2020-03-29 10:07:28	ga_ls8c_ard_3-1-0_098079_2020-03-29_final
2020-04-06 09:21:57	ga_ls8c_ard_3-1-0_090089_2020-04-05_final
2020-04-11 09:31:41	ga_ls8c_ard_3-1-0_093067_2020-04-11_final
2020-04-23 09:59:06	ga_ls8c_ard_3-1-0_097074_2020-04-23_final
2022-04-18 10:19:56	ga_ls8c_ard_3-2-1_100079_2022-04-18_final
2022-04-27 11:51:22	ga_ls8c_ard_3-2-1_115076_2022-04-27_final
2022-05-04 10:21:31	ga_ls8c_ard_3-2-1_100083_2022-05-04_final
2022-05-06 10:06:47	ga_ls8c_ard_3-2-1_098077_2022-05-06_final
2022-05-06 10:07:35	ga_ls8c_ard_3-2-1_098079_2022-05-06_final
2022-05-18 10:28:01	ga_ls8c_ard_3-2-1_102068_2022-05-18_final
2022-05-26 11:23:02	ga_ls8c_ard_3-2-1_110082_2022-05-26_final
2022-05-31 10:03:08	ga_ls8c_ard_3-2-1_097083_2022-05-31_final
2022-06-02 09:50:48	ga_ls8c_ard_3-2-1_095083_2022-06-02_final
2022-06-03 10:28:53	ga_ls8c_ard_3-2-1_102070_2022-06-03_final
2022-06-04 09:40:28	ga_ls8c_ard_3-2-1_093088_2022-06-04_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