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
2014-09-16 11:29:25	ga_ls8c_ard_3-0-0_111082_2014-09-16_final
2014-09-16 11:29:49	ga_ls8c_ard_3-0-0_111083_2014-09-16_final
2014-10-02 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-10-02_final
2014-10-02 11:29:51	ga_ls8c_ard_3-0-0_111083_2014-10-02_final
2014-10-02 11:30:15	ga_ls8c_ard_3-0-0_111084_2014-10-02_final
2014-11-03 11:29:29	ga_ls8c_ard_3-0-0_111082_2014-11-03_final
2014-11-03 11:29:53	ga_ls8c_ard_3-0-0_111083_2014-11-03_final
2014-11-03 11:30:17	ga_ls8c_ard_3-0-0_111084_2014-11-03_final
2014-11-17 11:38:15	ga_ls8c_ard_3-0-0_113073_2014-11-17_final
2014-11-17 11:38:39	ga_ls8c_ard_3-0-0_113074_2014-11-17_final
2014-11-17 11:39:03	ga_ls8c_ard_3-0-0_113075_2014-11-17_final
2014-11-17 11:39:27	ga_ls8c_ard_3-0-0_113076_2014-11-17_final
2014-11-17 11:39:51	ga_ls8c_ard_3-0-0_113077_2014-11-17_final
2014-11-17 11:40:14	ga_ls8c_ard_3-0-0_113078_2014-11-17_final
2014-11-17 11:40:38	ga_ls8c_ard_3-0-0_113079_2014-11-17_final
2014-11-19 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-11-19_final
2014-11-19 11:29:51	ga_ls8c_ard_3-0-0_111083_2014-11-19_final
2014-11-19 11:30:15	ga_ls8c_ard_3-0-0_111084_2014-11-19_final
2018-05-29 11:32:41	ga_ls8c_ard_3-0-0_112078_2018-05-29_final
2018-05-29 11:33:05	ga_ls8c_ard_3-0-0_112079_2018-05-29_final
2018-05-29 11:33:29	ga_ls8c_ard_3-0-0_112080_2018-05-29_final
2018-05-29 11:33:53	ga_ls8c_ard_3-0-0_112081_2018-05-29_final
2018-05-29 11:34:17	ga_ls8c_ard_3-0-0_112082_2018-05-29_final
2018-05-29 11:34:41	ga_ls8c_ard_3-0-0_112083_2018-05-29_final
2018-06-07 11:28:04	ga_ls8c_ard_3-0-0_111082_2018-06-07_final
2018-06-07 11:28:28	ga_ls8c_ard_3-0-0_111083_2018-06-07_final
2018-06-07 11:28:52	ga_ls8c_ard_3-0-0_111084_2018-06-07_final
2018-06-07 11:29:16	ga_ls8c_ard_3-0-0_111085_2018-06-07_final
2018-06-16 11:23:12	ga_ls8c_ard_3-0-0_110085_2018-06-16_final
2018-06-30 11:32:54	ga_ls8c_ard_3-0-0_112078_2018-06-30_final
2018-06-30 11:33:18	ga_ls8c_ard_3-0-0_112079_2018-06-30_final
2018-06-30 11:33:42	ga_ls8c_ard_3-0-0_112080_2018-06-30_final
2018-06-30 11:34:06	ga_ls8c_ard_3-0-0_112081_2018-06-30_final
2018-06-30 11:34:30	ga_ls8c_ard_3-0-0_112082_2018-06-30_final
2018-06-30 11:34:54	ga_ls8c_ard_3-0-0_112083_2018-06-30_final
2018-07-02 11:23:22	ga_ls8c_ard_3-0-0_110085_2018-07-02_final
2018-07-16 11:33:02	ga_ls8c_ard_3-0-0_112078_2018-07-16_final
2018-07-16 11:33:26	ga_ls8c_ard_3-0-0_112079_2018-07-16_final
2018-07-16 11:33:50	ga_ls8c_ard_3-0-0_112080_2018-07-16_final
2018-07-16 11:34:14	ga_ls8c_ard_3-0-0_112081_2018-07-16_final
2018-07-16 11:34:38	ga_ls8c_ard_3-0-0_112082_2018-07-16_final
2018-07-16 11:35:02	ga_ls8c_ard_3-0-0_112083_2018-07-16_final
2018-08-01 11:33:09	ga_ls8c_ard_3-0-0_112078_2018-08-01_final
2018-08-01 11:33:33	ga_ls8c_ard_3-0-0_112079_2018-08-01_final
2018-08-01 11:33:57	ga_ls8c_ard_3-0-0_112080_2018-08-01_final
2018-08-01 11:34:21	ga_ls8c_ard_3-0-0_112081_2018-08-01_final
2018-08-01 11:34:45	ga_ls8c_ard_3-0-0_112082_2018-08-01_final
2018-08-01 11:35:09	ga_ls8c_ard_3-0-0_112083_2018-08-01_final
2018-08-17 11:33:19	ga_ls8c_ard_3-0-0_112078_2018-08-17_final
2018-08-17 11:33:42	ga_ls8c_ard_3-0-0_112079_2018-08-17_final
2018-08-17 11:34:06	ga_ls8c_ard_3-0-0_112080_2018-08-17_final
2018-08-17 11:34:30	ga_ls8c_ard_3-0-0_112081_2018-08-17_final
2018-08-17 11:34:54	ga_ls8c_ard_3-0-0_112082_2018-08-17_final
2018-08-17 11:35:18	ga_ls8c_ard_3-0-0_112083_2018-08-17_final
2018-08-26 11:28:48	ga_ls8c_ard_3-0-0_111082_2018-08-26_final
2018-08-26 11:29:12	ga_ls8c_ard_3-0-0_111083_2018-08-26_final
2018-08-26 11:29:35	ga_ls8c_ard_3-0-0_111084_2018-08-26_final
2018-08-26 11:29:59	ga_ls8c_ard_3-0-0_111085_2018-08-26_final
2018-09-02 11:33:25	ga_ls8c_ard_3-0-0_112078_2018-09-02_final
2018-09-02 11:33:49	ga_ls8c_ard_3-0-0_112079_2018-09-02_final
2018-09-02 11:34:13	ga_ls8c_ard_3-0-0_112080_2018-09-02_final
2018-09-02 11:34:37	ga_ls8c_ard_3-0-0_112081_2018-09-02_final
2018-09-02 11:35:01	ga_ls8c_ard_3-0-0_112082_2018-09-02_final
2018-09-02 11:35:25	ga_ls8c_ard_3-0-0_112083_2018-09-02_final
2018-09-11 11:28:53	ga_ls8c_ard_3-0-0_111082_2018-09-11_final
2018-09-11 11:29:17	ga_ls8c_ard_3-0-0_111083_2018-09-11_final
2018-09-11 11:29:41	ga_ls8c_ard_3-0-0_111084_2018-09-11_final
2018-09-11 11:30:05	ga_ls8c_ard_3-0-0_111085_2018-09-11_final
2018-09-27 11:28:59	ga_ls8c_ard_3-0-0_111082_2018-09-27_final
2018-09-27 11:29:23	ga_ls8c_ard_3-0-0_111083_2018-09-27_final
2018-09-27 11:29:47	ga_ls8c_ard_3-0-0_111084_2018-09-27_final
2018-09-27 11:30:11	ga_ls8c_ard_3-0-0_111085_2018-09-27_final
2018-10-13 11:29:06	ga_ls8c_ard_3-0-0_111082_2018-10-13_final
2018-10-13 11:29:30	ga_ls8c_ard_3-0-0_111083_2018-10-13_final
2018-10-13 11:29:54	ga_ls8c_ard_3-0-0_111084_2018-10-13_final
2018-10-13 11:30:18	ga_ls8c_ard_3-0-0_111085_2018-10-13_final
2018-11-14 11:29:13	ga_ls8c_ard_3-0-0_111082_2018-11-14_final
2018-11-14 11:29:37	ga_ls8c_ard_3-0-0_111083_2018-11-14_final
2018-11-14 11:30:01	ga_ls8c_ard_3-0-0_111084_2018-11-14_final
2018-11-14 11:30:25	ga_ls8c_ard_3-0-0_111085_2018-11-14_final
2020-04-16 11:33:27	ga_ls8c_ard_3-1-0_112078_2020-04-16_final
2020-04-16 11:33:51	ga_ls8c_ard_3-1-0_112079_2020-04-16_final
2020-04-16 11:34:15	ga_ls8c_ard_3-1-0_112080_2020-04-16_final
2020-04-16 11:34:39	ga_ls8c_ard_3-1-0_112081_2020-04-16_final
2020-04-16 11:35:03	ga_ls8c_ard_3-1-0_112082_2020-04-16_final
2020-04-16 11:35:27	ga_ls8c_ard_3-1-0_112083_2020-04-16_final
2020-05-25 11:37:30	ga_ls8c_ard_3-1-0_113073_2020-05-25_final
2020-05-25 11:37:54	ga_ls8c_ard_3-1-0_113074_2020-05-25_final
2020-05-25 11:38:18	ga_ls8c_ard_3-1-0_113075_2020-05-25_final
2020-05-25 11:38:42	ga_ls8c_ard_3-1-0_113076_2020-05-25_final
2020-05-25 11:39:06	ga_ls8c_ard_3-1-0_113077_2020-05-25_final
2020-05-25 11:39:30	ga_ls8c_ard_3-1-0_113078_2020-05-25_final
2020-05-25 11:39:54	ga_ls8c_ard_3-1-0_113079_2020-05-25_final
2020-06-10 11:37:39	ga_ls8c_ard_3-1-0_113073_2020-06-10_final
2020-06-10 11:38:03	ga_ls8c_ard_3-1-0_113074_2020-06-10_final
2020-06-10 11:38:26	ga_ls8c_ard_3-1-0_113075_2020-06-10_final
2020-06-10 11:38:50	ga_ls8c_ard_3-1-0_113076_2020-06-10_final
2020-06-10 11:39:14	ga_ls8c_ard_3-1-0_113077_2020-06-10_final
2020-06-10 11:39:38	ga_ls8c_ard_3-1-0_113078_2020-06-10_final
2020-06-10 11:40:02	ga_ls8c_ard_3-1-0_113079_2020-06-10_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