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
2015-04-21 11:23:39	ga_ls8c_ard_3-0-0_110085_2015-04-21_final
2015-05-03 11:43:49	ga_ls8c_ard_3-0-0_114074_2015-05-03_final
2015-06-29 11:37:25	ga_ls8c_ard_3-0-0_113073_2015-06-29_final
2015-06-29 11:37:49	ga_ls8c_ard_3-0-0_113074_2015-06-29_final
2015-06-29 11:38:13	ga_ls8c_ard_3-0-0_113075_2015-06-29_final
2015-06-29 11:38:37	ga_ls8c_ard_3-0-0_113076_2015-06-29_final
2015-06-29 11:39:01	ga_ls8c_ard_3-0-0_113077_2015-06-29_final
2015-06-29 11:39:25	ga_ls8c_ard_3-0-0_113078_2015-06-29_final
2015-06-29 11:39:49	ga_ls8c_ard_3-0-0_113079_2015-06-29_final
2015-07-15 11:37:36	ga_ls8c_ard_3-1-0_113073_2015-07-15_final
2015-07-15 11:38:00	ga_ls8c_ard_3-0-0_113074_2015-07-15_final
2015-07-15 11:38:23	ga_ls8c_ard_3-0-0_113075_2015-07-15_final
2015-07-15 11:38:47	ga_ls8c_ard_3-0-0_113076_2015-07-15_final
2015-07-15 11:39:11	ga_ls8c_ard_3-0-0_113077_2015-07-15_final
2015-07-15 11:39:35	ga_ls8c_ard_3-0-0_113078_2015-07-15_final
2015-07-15 11:39:59	ga_ls8c_ard_3-0-0_113079_2015-07-15_final
2015-08-18 11:29:01	ga_ls8c_ard_3-0-0_111082_2015-08-18_final
2015-08-18 11:29:25	ga_ls8c_ard_3-0-0_111083_2015-08-18_final
2015-08-18 11:29:49	ga_ls8c_ard_3-0-0_111084_2015-08-18_final
2015-08-18 11:30:13	ga_ls8c_ard_3-0-0_111085_2015-08-18_final
2018-09-25 11:37:44	ga_ls8c_ard_3-0-0_113073_2018-09-25_final
2018-09-25 11:38:08	ga_ls8c_ard_3-0-0_113074_2018-09-25_final
2018-09-25 11:38:32	ga_ls8c_ard_3-0-0_113075_2018-09-25_final
2018-09-25 11:38:56	ga_ls8c_ard_3-0-0_113076_2018-09-25_final
2018-09-25 11:39:20	ga_ls8c_ard_3-0-0_113077_2018-09-25_final
2018-09-25 11:39:44	ga_ls8c_ard_3-0-0_113078_2018-09-25_final
2018-09-25 11:40:07	ga_ls8c_ard_3-0-0_113079_2018-09-25_final
2018-10-27 11:37:57	ga_ls8c_ard_3-1-0_113073_2018-10-27_final
2018-10-27 11:38:21	ga_ls8c_ard_3-0-0_113074_2018-10-27_final
2018-10-27 11:38:45	ga_ls8c_ard_3-0-0_113075_2018-10-27_final
2018-10-27 11:39:08	ga_ls8c_ard_3-0-0_113076_2018-10-27_final
2018-10-27 11:39:32	ga_ls8c_ard_3-0-0_113077_2018-10-27_final
2018-10-27 11:39:56	ga_ls8c_ard_3-0-0_113078_2018-10-27_final
2018-10-27 11:40:20	ga_ls8c_ard_3-0-0_113079_2018-10-27_final
2018-11-28 11:37:58	ga_ls8c_ard_3-1-0_113073_2018-11-28_final
2018-11-28 11:38:22	ga_ls8c_ard_3-0-0_113074_2018-11-28_final
2018-11-28 11:38:46	ga_ls8c_ard_3-0-0_113075_2018-11-28_final
2018-11-28 11:39:10	ga_ls8c_ard_3-0-0_113076_2018-11-28_final
2018-11-28 11:39:34	ga_ls8c_ard_3-0-0_113077_2018-11-28_final
2018-11-28 11:39:58	ga_ls8c_ard_3-0-0_113078_2018-11-28_final
2018-11-28 11:40:22	ga_ls8c_ard_3-0-0_113079_2018-11-28_final
2019-02-16 11:37:47	ga_ls8c_ard_3-0-0_113073_2019-02-16_final
2019-02-16 11:38:11	ga_ls8c_ard_3-0-0_113074_2019-02-16_final
2019-02-16 11:38:35	ga_ls8c_ard_3-0-0_113075_2019-02-16_final
2019-02-16 11:38:59	ga_ls8c_ard_3-0-0_113076_2019-02-16_final
2019-02-16 11:39:23	ga_ls8c_ard_3-0-0_113077_2019-02-16_final
2019-02-16 11:39:47	ga_ls8c_ard_3-0-0_113078_2019-02-16_final
2019-02-16 11:40:11	ga_ls8c_ard_3-0-0_113079_2019-02-16_final
2019-02-18 11:29:01	ga_ls8c_ard_3-0-0_111082_2019-02-18_final
2019-02-18 11:29:24	ga_ls8c_ard_3-0-0_111083_2019-02-18_final
2019-02-18 11:29:48	ga_ls8c_ard_3-0-0_111084_2019-02-18_final
2019-02-18 11:30:12	ga_ls8c_ard_3-0-0_111085_2019-02-18_final
2019-02-25 11:33:34	ga_ls8c_ard_3-0-0_112078_2019-02-25_final
2019-02-25 11:33:58	ga_ls8c_ard_3-0-0_112079_2019-02-25_final
2019-02-25 11:34:22	ga_ls8c_ard_3-0-0_112080_2019-02-25_final
2019-02-25 11:34:46	ga_ls8c_ard_3-0-0_112081_2019-02-25_final
2019-02-25 11:35:10	ga_ls8c_ard_3-0-0_112082_2019-02-25_final
2019-02-25 11:35:34	ga_ls8c_ard_3-0-0_112083_2019-02-25_final
2019-03-22 11:28:51	ga_ls8c_ard_3-1-0_111082_2019-03-22_final
2019-03-22 11:29:15	ga_ls8c_ard_3-1-0_111083_2019-03-22_final
2019-03-22 11:29:39	ga_ls8c_ard_3-1-0_111084_2019-03-22_final
2019-03-22 11:30:03	ga_ls8c_ard_3-1-0_111085_2019-03-22_final
2019-04-14 11:33:20	ga_ls8c_ard_3-1-0_112078_2019-04-14_final
2019-04-14 11:33:44	ga_ls8c_ard_3-1-0_112079_2019-04-14_final
2019-04-14 11:34:08	ga_ls8c_ard_3-1-0_112080_2019-04-14_final
2019-04-14 11:34:32	ga_ls8c_ard_3-1-0_112081_2019-04-14_final
2019-04-14 11:34:56	ga_ls8c_ard_3-1-0_112082_2019-04-14_final
2019-04-14 11:35:20	ga_ls8c_ard_3-1-0_112083_2019-04-14_final
2019-04-23 11:28:41	ga_ls8c_ard_3-0-0_111082_2019-04-23_final
2019-04-23 11:29:05	ga_ls8c_ard_3-0-0_111083_2019-04-23_final
2019-04-23 11:29:29	ga_ls8c_ard_3-0-0_111084_2019-04-23_final
2019-04-23 11:29:53	ga_ls8c_ard_3-0-0_111085_2019-04-23_final
2019-05-09 11:28:47	ga_ls8c_ard_3-0-0_111082_2019-05-09_final
2019-05-09 11:29:11	ga_ls8c_ard_3-0-0_111083_2019-05-09_final
2019-05-09 11:29:35	ga_ls8c_ard_3-0-0_111084_2019-05-09_final
2019-05-09 11:29:59	ga_ls8c_ard_3-0-0_111085_2019-05-09_final
2019-05-23 11:37:42	ga_ls8c_ard_3-0-0_113073_2019-05-23_final
2019-05-23 11:38:06	ga_ls8c_ard_3-0-0_113074_2019-05-23_final
2019-05-23 11:38:30	ga_ls8c_ard_3-0-0_113075_2019-05-23_final
2019-05-23 11:38:54	ga_ls8c_ard_3-0-0_113076_2019-05-23_final
2019-05-23 11:39:18	ga_ls8c_ard_3-0-0_113077_2019-05-23_final
2019-05-23 11:39:41	ga_ls8c_ard_3-0-0_113078_2019-05-23_final
2019-05-23 11:40:05	ga_ls8c_ard_3-0-0_113079_2019-05-23_final
2019-05-25 11:28:57	ga_ls8c_ard_3-0-0_111082_2019-05-25_final
2019-05-25 11:29:21	ga_ls8c_ard_3-0-0_111083_2019-05-25_final
2019-05-25 11:29:45	ga_ls8c_ard_3-0-0_111084_2019-05-25_final
2019-05-25 11:30:09	ga_ls8c_ard_3-0-0_111085_2019-05-25_final
2019-06-01 11:33:35	ga_ls8c_ard_3-0-0_112078_2019-06-01_final
2019-06-01 11:33:59	ga_ls8c_ard_3-0-0_112079_2019-06-01_final
2019-06-03 11:24:02	ga_ls8c_ard_3-0-0_110085_2019-06-03_final
2020-02-19 11:38:04	ga_ls8c_ard_3-1-0_113073_2020-02-19_final
2020-02-19 11:38:28	ga_ls8c_ard_3-1-0_113074_2020-02-19_final
2020-02-19 11:38:52	ga_ls8c_ard_3-1-0_113075_2020-02-19_final
2020-02-19 11:39:16	ga_ls8c_ard_3-1-0_113076_2020-02-19_final
2020-02-19 11:39:40	ga_ls8c_ard_3-1-0_113077_2020-02-19_final
2020-02-19 11:40:04	ga_ls8c_ard_3-1-0_113078_2020-02-19_final
2020-02-19 11:40:27	ga_ls8c_ard_3-1-0_113079_2020-02-19_final
2020-02-21 11:29:17	ga_ls8c_ard_3-1-0_111082_2020-02-21_final
2020-02-21 11:29:41	ga_ls8c_ard_3-1-0_111083_2020-02-21_final
2020-02-21 11:30:05	ga_ls8c_ard_3-1-0_111084_2020-02-21_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