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
2013-07-21 10:25:26	ga_ls8c_ard_3-1-0_101072_2013-07-21_final
2016-02-14 09:27:13	ga_ls8c_ard_3-1-0_091086_2016-02-13_final
2017-10-08 10:01:26	ga_ls8c_ard_3-1-0_097078_2017-10-08_final
2018-06-03 10:13:54	ga_ls8c_ard_3-1-0_099082_2018-06-03_final
2019-03-13 11:31:52	ga_ls8c_ard_3-1-0_112074_2019-03-13_final
2019-03-15 09:41:49	ga_ls8c_ard_3-1-0_094077_2019-03-15_final
2019-03-15 11:20:18	ga_ls8c_ard_3-1-0_110076_2019-03-15_final
2019-03-20 10:00:44	ga_ls8c_ard_3-1-0_097078_2019-03-20_final
2019-03-20 10:02:20	ga_ls8c_ard_3-1-0_097082_2019-03-20_final
2019-03-20 10:03:32	ga_ls8c_ard_3-1-0_097085_2019-03-20_final
2019-03-20 11:35:14	ga_ls8c_ard_3-1-0_113067_2019-03-20_final
2019-03-24 09:31:37	ga_ls8c_ard_3-1-0_093067_2019-03-24_final
2019-03-24 09:38:00	ga_ls8c_ard_3-1-0_093083_2019-03-24_final
2019-03-29 09:55:44	ga_ls8c_ard_3-1-0_096081_2019-03-29_final
2019-03-29 11:33:49	ga_ls8c_ard_3-1-0_112079_2019-03-29_final
2019-03-31 09:41:46	ga_ls8c_ard_3-1-0_094077_2019-03-31_final
2019-04-05 10:00:41	ga_ls8c_ard_3-1-0_097078_2019-04-05_final
2019-04-09 11:16:01	ga_ls8c_ard_3-1-0_109081_2019-04-09_final
2019-04-16 09:42:52	ga_ls8c_ard_3-1-0_094080_2019-04-16_final
2019-04-18 09:32:06	ga_ls8c_ard_3-1-0_092084_2019-04-18_final
2019-06-17 11:34:06	ga_ls8c_ard_3-1-0_112079_2019-06-17_final
2019-06-18 10:34:53	ga_ls8c_ard_3-1-0_103070_2019-06-18_final
2019-06-21 09:30:31	ga_ls8c_ard_3-1-0_092079_2019-06-21_final
2019-07-06 10:25:48	ga_ls8c_ard_3-1-0_101078_2019-07-06_final
2019-07-07 09:30:35	ga_ls8c_ard_3-1-0_092079_2019-07-07_final
2019-07-08 10:12:39	ga_ls8c_ard_3-1-0_099076_2019-07-08_final
2019-07-09 10:56:43	ga_ls8c_ard_3-1-0_106078_2019-07-09_final
2019-07-11 10:42:22	ga_ls8c_ard_3-1-0_104073_2019-07-11_final
2019-07-14 11:14:28	ga_ls8c_ard_3-1-0_109076_2019-07-14_final
2019-07-17 10:08:53	ga_ls8c_ard_3-1-0_098082_2019-07-17_final
2019-07-30 09:38:28	ga_ls8c_ard_3-1-0_093083_2019-07-30_final
2019-08-01 09:25:20	ga_ls8c_ard_3-1-0_091081_2019-07-31_final
2019-08-05 10:35:07	ga_ls8c_ard_3-1-0_103070_2019-08-05_final
2019-08-08 09:30:45	ga_ls8c_ard_3-1-0_092079_2019-08-08_final
2019-08-09 10:16:25	ga_ls8c_ard_3-1-0_099085_2019-08-09_final
2019-08-11 09:58:53	ga_ls8c_ard_3-1-0_097072_2019-08-11_final
2019-08-20 11:36:01	ga_ls8c_ard_3-1-0_112083_2019-08-20_final
2019-08-22 11:20:28	ga_ls8c_ard_3-1-0_110075_2019-08-22_final
2019-08-22 11:20:52	ga_ls8c_ard_3-1-0_110076_2019-08-22_final
2019-08-27 10:00:33	ga_ls8c_ard_3-1-0_097076_2019-08-27_final
2019-08-27 10:02:56	ga_ls8c_ard_3-1-0_097082_2019-08-27_final
2019-09-02 09:25:29	ga_ls8c_ard_3-1-0_091081_2019-09-01_final
2019-09-10 10:13:46	ga_ls8c_ard_3-1-0_099078_2019-09-10_final
2019-09-10 11:53:03	ga_ls8c_ard_3-1-0_115079_2019-09-10_final
2019-09-12 11:42:18	ga_ls8c_ard_3-1-0_113083_2019-09-12_final
2019-09-16 09:38:43	ga_ls8c_ard_3-1-0_093083_2019-09-16_final
2019-09-19 10:09:14	ga_ls8c_ard_3-1-0_098082_2019-09-19_final
2019-09-24 10:27:48	ga_ls8c_ard_3-1-0_101082_2019-09-24_final
2019-09-26 10:13:51	ga_ls8c_ard_3-1-0_099078_2019-09-26_final
2019-10-05 11:47:23	ga_ls8c_ard_3-1-0_114080_2019-10-05_final
2019-10-10 10:23:28	ga_ls8c_ard_3-1-0_101071_2019-10-10_final
2019-10-14 11:41:14	ga_ls8c_ard_3-1-0_113080_2019-10-14_final
2019-10-15 10:42:49	ga_ls8c_ard_3-1-0_104073_2019-10-15_final
2019-10-26 10:26:16	ga_ls8c_ard_3-1-0_101078_2019-10-26_final
2019-10-28 10:13:55	ga_ls8c_ard_3-1-0_099078_2019-10-28_final
2019-10-30 11:36:03	ga_ls8c_ard_3-1-0_113067_2019-10-30_final
2019-10-31 10:43:13	ga_ls8c_ard_3-1-0_104074_2019-10-31_final
2019-10-31 10:46:48	ga_ls8c_ard_3-1-0_104083_2019-10-31_final
2019-11-08 11:34:38	ga_ls8c_ard_3-1-0_112079_2019-11-08_final
2019-11-10 11:20:40	ga_ls8c_ard_3-1-0_110075_2019-11-10_final
2019-11-12 09:31:01	ga_ls8c_ard_3-1-0_092079_2019-11-12_final
2019-11-17 11:29:37	ga_ls8c_ard_3-1-0_111082_2019-11-17_final
2019-11-24 11:32:35	ga_ls8c_ard_3-1-0_112074_2019-11-24_final
2019-11-29 10:13:02	ga_ls8c_ard_3-1-0_099076_2019-11-29_final
2019-12-01 10:01:29	ga_ls8c_ard_3-1-0_097078_2019-12-01_final
2019-12-01 10:03:04	ga_ls8c_ard_3-1-0_097082_2019-12-01_final
2019-12-02 10:42:45	ga_ls8c_ard_3-1-0_104073_2019-12-02_final
2019-12-03 11:29:36	ga_ls8c_ard_3-1-0_111082_2019-12-03_final
2019-12-07 09:27:35	ga_ls8c_ard_3-1-0_091086_2019-12-06_final
2019-12-08 11:47:20	ga_ls8c_ard_3-1-0_114080_2019-12-08_final
2019-12-22 10:21:10	ga_ls8c_ard_3-1-0_100081_2019-12-22_final
2019-12-23 09:27:32	ga_ls8c_ard_3-1-0_091086_2019-12-22_final
2020-01-13 09:42:24	ga_ls8c_ard_3-1-0_094077_2020-01-13_final
2020-01-16 10:15:17	ga_ls8c_ard_3-1-0_099082_2020-01-16_final
2020-01-30 10:25:59	ga_ls8c_ard_3-1-0_101078_2020-01-30_final
2020-02-01 10:15:12	ga_ls8c_ard_3-1-0_099082_2020-02-01_final
2020-02-02 10:56:52	ga_ls8c_ard_3-1-0_106078_2020-02-02_final
2020-02-04 10:46:29	ga_ls8c_ard_3-1-0_104083_2020-02-04_final
2020-02-15 10:27:30	ga_ls8c_ard_3-1-0_101082_2020-02-15_final
2020-02-16 09:30:41	ga_ls8c_ard_3-1-0_092079_2020-02-16_final
2020-02-16 09:32:41	ga_ls8c_ard_3-1-0_092084_2020-02-16_final
2020-02-20 10:42:26	ga_ls8c_ard_3-1-0_104073_2020-02-20_final
2020-02-28 09:50:58	ga_ls8c_ard_3-1-0_096068_2020-02-28_final
2020-02-28 11:31:50	ga_ls8c_ard_3-1-0_112073_2020-02-28_final
2020-03-02 10:27:26	ga_ls8c_ard_3-1-0_101082_2020-03-02_final
2020-03-06 10:03:53	ga_ls8c_ard_3-1-0_097085_2020-03-06_final
2020-03-15 09:56:02	ga_ls8c_ard_3-1-0_096081_2020-03-15_final
2020-03-16 10:34:54	ga_ls8c_ard_3-1-0_103070_2020-03-16_final
2020-03-22 10:00:57	ga_ls8c_ard_3-1-0_097078_2020-03-22_final
2020-03-22 10:02:33	ga_ls8c_ard_3-1-0_097082_2020-03-22_final
2020-04-04 09:28:20	ga_ls8c_ard_3-1-0_092074_2020-04-03_final
2020-04-06 09:22:45	ga_ls8c_ard_3-1-0_090091_2020-04-05_final
2020-04-10 10:32:29	ga_ls8c_ard_3-1-0_102080_2020-04-10_final
2020-04-24 10:41:57	ga_ls8c_ard_3-1-0_104073_2020-04-24_final
2020-04-27 09:31:33	ga_ls8c_ard_3-1-0_093067_2020-04-27_final
2020-04-29 09:26:45	ga_ls8c_ard_3-1-0_091086_2020-04-28_final
2020-04-30 10:08:25	ga_ls8c_ard_3-1-0_098082_2020-04-30_final
2020-05-02 11:31:19	ga_ls8c_ard_3-1-0_112073_2020-05-02_final
2020-05-04 09:41:39	ga_ls8c_ard_3-1-0_094077_2020-05-04_final
2020-05-04 11:20:08	ga_ls8c_ard_3-1-0_110076_2020-05-04_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years