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
2015-02-14 11:29:16	ga_ls8c_ard_3-0-0_112067_2015-02-14_final
2015-02-14 11:29:40	ga_ls8c_ard_3-0-0_112068_2015-02-14_final
2015-02-14 11:30:04	ga_ls8c_ard_3-0-0_112069_2015-02-14_final
2015-02-14 11:30:28	ga_ls8c_ard_3-0-0_112070_2015-02-14_final
2015-03-22 11:10:17	ga_ls8c_ard_3-0-0_108082_2015-03-22_final
2015-03-22 11:10:41	ga_ls8c_ard_3-0-0_108083_2015-03-22_final
2015-03-22 11:11:05	ga_ls8c_ard_3-0-0_108084_2015-03-22_final
2015-03-22 11:11:29	ga_ls8c_ard_3-0-0_108085_2015-03-22_final
2015-04-07 11:10:07	ga_ls8c_ard_3-0-0_108082_2015-04-07_final
2015-04-07 11:10:31	ga_ls8c_ard_3-0-0_108083_2015-04-07_final
2015-04-07 11:10:55	ga_ls8c_ard_3-0-0_108084_2015-04-07_final
2015-05-21 11:28:31	ga_ls8c_ard_3-0-0_112067_2015-05-21_final
2015-05-21 11:28:55	ga_ls8c_ard_3-0-0_112068_2015-05-21_final
2015-05-21 11:29:19	ga_ls8c_ard_3-0-0_112069_2015-05-21_final
2018-04-11 11:28:50	ga_ls8c_ard_3-0-0_112067_2018-04-11_final
2018-04-11 11:29:14	ga_ls8c_ard_3-0-0_112068_2018-04-11_final
2018-04-11 11:29:38	ga_ls8c_ard_3-0-0_112069_2018-04-11_final
2018-04-11 11:30:02	ga_ls8c_ard_3-0-0_112070_2018-04-11_final
2018-06-14 11:28:21	ga_ls8c_ard_3-0-0_112067_2018-06-14_final
2018-06-14 11:28:45	ga_ls8c_ard_3-0-0_112068_2018-06-14_final
2018-06-14 11:29:09	ga_ls8c_ard_3-0-0_112069_2018-06-14_final
2018-06-14 11:29:33	ga_ls8c_ard_3-0-0_112070_2018-06-14_final
2020-06-03 11:29:00	ga_ls8c_ard_3-1-0_112067_2020-06-03_final
2020-06-03 11:29:24	ga_ls8c_ard_3-1-0_112068_2020-06-03_final
2020-06-03 11:29:48	ga_ls8c_ard_3-1-0_112069_2020-06-03_final
2020-06-03 11:30:11	ga_ls8c_ard_3-1-0_112070_2020-06-03_final
2020-06-19 11:29:09	ga_ls8c_ard_3-1-0_112067_2020-06-19_final
2020-06-19 11:29:33	ga_ls8c_ard_3-1-0_112068_2020-06-19_final
2020-06-19 11:29:57	ga_ls8c_ard_3-1-0_112069_2020-06-19_final
2020-07-05 11:29:17	ga_ls8c_ard_3-1-0_112067_2020-07-05_final
2020-07-05 11:29:41	ga_ls8c_ard_3-1-0_112068_2020-07-05_final
2020-07-05 11:30:05	ga_ls8c_ard_3-1-0_112069_2020-07-05_final
2020-07-21 11:29:23	ga_ls8c_ard_3-1-0_112067_2020-07-21_final
2020-07-21 11:29:46	ga_ls8c_ard_3-1-0_112068_2020-07-21_final
2020-07-21 11:30:10	ga_ls8c_ard_3-1-0_112069_2020-07-21_final
2020-07-21 11:30:34	ga_ls8c_ard_3-1-0_112070_2020-07-21_final
2020-07-23 11:19:25	ga_ls8c_ard_3-1-0_110073_2020-07-23_final
2020-07-23 11:19:49	ga_ls8c_ard_3-1-0_110074_2020-07-23_final
2020-07-23 11:20:13	ga_ls8c_ard_3-1-0_110075_2020-07-23_final
2020-07-23 11:20:37	ga_ls8c_ard_3-1-0_110076_2020-07-23_final
2020-07-23 11:21:01	ga_ls8c_ard_3-1-0_110077_2020-07-23_final
2020-07-23 11:21:25	ga_ls8c_ard_3-1-0_110078_2020-07-23_final
2020-07-23 11:21:49	ga_ls8c_ard_3-1-0_110079_2020-07-23_final
2020-07-25 11:10:39	ga_ls8c_ard_3-1-0_108082_2020-07-25_final
2020-07-25 11:11:03	ga_ls8c_ard_3-1-0_108083_2020-07-25_final
2020-07-25 11:11:27	ga_ls8c_ard_3-1-0_108084_2020-07-25_final
2020-07-25 11:11:51	ga_ls8c_ard_3-1-0_108085_2020-07-25_final
2020-08-01 11:15:16	ga_ls8c_ard_3-1-0_109078_2020-08-01_final
2020-08-01 11:15:40	ga_ls8c_ard_3-1-0_109079_2020-08-01_final
2020-08-01 11:16:04	ga_ls8c_ard_3-1-0_109080_2020-08-01_final
2020-08-01 11:16:28	ga_ls8c_ard_3-1-0_109081_2020-08-01_final
2020-08-01 11:16:52	ga_ls8c_ard_3-1-0_109082_2020-08-01_final
2020-08-01 11:17:16	ga_ls8c_ard_3-1-0_109083_2020-08-01_final
2020-09-07 11:29:40	ga_ls8c_ard_3-1-0_112067_2020-09-07_final
2020-09-07 11:30:04	ga_ls8c_ard_3-1-0_112068_2020-09-07_final
2020-09-07 11:30:28	ga_ls8c_ard_3-1-0_112069_2020-09-07_final
2020-09-07 11:30:52	ga_ls8c_ard_3-1-0_112070_2020-09-07_final
2020-11-10 11:29:45	ga_ls8c_ard_3-1-0_112067_2020-11-10_final
2020-11-10 11:30:09	ga_ls8c_ard_3-1-0_112068_2020-11-10_final
2020-11-10 11:30:33	ga_ls8c_ard_3-1-0_112069_2020-11-10_final
2020-11-10 11:30:57	ga_ls8c_ard_3-1-0_112070_2020-11-10_final
2020-11-19 11:24:24	ga_ls8c_ard_3-1-0_111069_2020-11-19_final
2020-11-19 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-11-19_final
2020-11-19 11:25:12	ga_ls8c_ard_3-1-0_111071_2020-11-19_final
2020-11-19 11:25:36	ga_ls8c_ard_3-1-0_111072_2020-11-19_final
2020-11-19 11:26:00	ga_ls8c_ard_3-1-0_111073_2020-11-19_final
2020-11-19 11:26:23	ga_ls8c_ard_3-1-0_111074_2020-11-19_final
2020-11-21 11:15:38	ga_ls8c_ard_3-1-0_109078_2020-11-21_final
2020-11-21 11:16:02	ga_ls8c_ard_3-1-0_109079_2020-11-21_final
2020-11-21 11:16:26	ga_ls8c_ard_3-1-0_109080_2020-11-21_final
2020-11-21 11:16:50	ga_ls8c_ard_3-1-0_109081_2020-11-21_final
2020-11-21 11:17:14	ga_ls8c_ard_3-1-0_109082_2020-11-21_final
2020-11-21 11:17:38	ga_ls8c_ard_3-1-0_109083_2020-11-21_final
2020-12-05 11:24:27	ga_ls8c_ard_3-1-0_111069_2020-12-05_final
2020-12-12 11:29:49	ga_ls8c_ard_3-1-0_112067_2020-12-12_final
2020-12-12 11:30:13	ga_ls8c_ard_3-1-0_112068_2020-12-12_final
2020-12-12 11:30:37	ga_ls8c_ard_3-1-0_112069_2020-12-12_final
2020-12-12 11:31:01	ga_ls8c_ard_3-1-0_112070_2020-12-12_final
2020-12-14 11:19:51	ga_ls8c_ard_3-1-0_110073_2020-12-14_final
2020-12-14 11:20:15	ga_ls8c_ard_3-1-0_110074_2020-12-14_final
2020-12-14 11:20:39	ga_ls8c_ard_3-1-0_110075_2020-12-14_final
2020-12-14 11:21:03	ga_ls8c_ard_3-1-0_110076_2020-12-14_final
2020-12-14 11:21:27	ga_ls8c_ard_3-1-0_110077_2020-12-14_final
2020-12-14 11:21:51	ga_ls8c_ard_3-1-0_110078_2020-12-14_final
2020-12-14 11:22:15	ga_ls8c_ard_3-1-0_110079_2020-12-14_final
2021-10-16 11:11:10	ga_ls8c_ard_3-2-0_108082_2021-10-16_final
2021-10-16 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-10-16_final
2021-10-16 11:11:58	ga_ls8c_ard_3-2-0_108084_2021-10-16_final
2021-10-16 11:12:21	ga_ls8c_ard_3-2-0_108085_2021-10-16_final
2021-10-21 11:24:31	ga_ls8c_ard_3-2-0_111069_2021-10-21_final
2021-10-21 11:24:55	ga_ls8c_ard_3-2-0_111070_2021-10-21_final
2021-10-21 11:25:19	ga_ls8c_ard_3-2-0_111071_2021-10-21_final
2021-10-21 11:25:43	ga_ls8c_ard_3-2-0_111072_2021-10-21_final
2021-10-21 11:26:07	ga_ls8c_ard_3-2-0_111073_2021-10-21_final
2021-10-21 11:26:31	ga_ls8c_ard_3-2-0_111074_2021-10-21_final
2021-11-22 11:24:26	ga_ls8c_ard_3-2-0_111069_2021-11-22_final
2021-11-22 11:24:50	ga_ls8c_ard_3-2-0_111070_2021-11-22_final
2021-11-22 11:25:14	ga_ls8c_ard_3-2-0_111071_2021-11-22_final
2021-11-22 11:25:38	ga_ls8c_ard_3-2-0_111072_2021-11-22_final
2021-11-22 11:26:02	ga_ls8c_ard_3-2-0_111073_2021-11-22_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