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
2018-03-01 11:37:21	ga_ls8c_ard_3-0-0_113072_2018-03-01_final
2018-03-01 11:37:45	ga_ls8c_ard_3-1-0_113073_2018-03-01_final
2018-03-01 11:38:09	ga_ls8c_ard_3-0-0_113074_2018-03-01_final
2018-03-01 11:38:33	ga_ls8c_ard_3-0-0_113075_2018-03-01_final
2018-03-01 11:38:57	ga_ls8c_ard_3-0-0_113076_2018-03-01_final
2018-03-01 11:39:21	ga_ls8c_ard_3-0-0_113077_2018-03-01_final
2018-03-01 11:39:45	ga_ls8c_ard_3-0-0_113078_2018-03-01_final
2018-04-25 11:41:03	ga_ls8c_ard_3-0-0_114067_2018-04-25_final
2018-04-27 11:32:40	ga_ls8c_ard_3-0-0_112077_2018-04-27_final
2018-04-27 11:33:04	ga_ls8c_ard_3-0-0_112078_2018-04-27_final
2018-04-27 11:33:28	ga_ls8c_ard_3-0-0_112079_2018-04-27_final
2018-04-27 11:33:52	ga_ls8c_ard_3-0-0_112080_2018-04-27_final
2018-04-27 11:34:16	ga_ls8c_ard_3-0-0_112081_2018-04-27_final
2018-04-27 11:34:40	ga_ls8c_ard_3-0-0_112082_2018-04-27_final
2018-10-18 11:41:41	ga_ls8c_ard_3-0-0_114067_2018-10-18_final
2018-12-05 11:41:44	ga_ls8c_ard_3-0-0_114067_2018-12-05_final
2020-04-07 11:37:18	ga_ls8c_ard_3-1-0_113072_2020-04-07_final
2020-04-07 11:37:42	ga_ls8c_ard_3-1-0_113073_2020-04-07_final
2020-04-07 11:38:06	ga_ls8c_ard_3-1-0_113074_2020-04-07_final
2020-04-07 11:38:30	ga_ls8c_ard_3-1-0_113075_2020-04-07_final
2020-04-07 11:38:54	ga_ls8c_ard_3-1-0_113076_2020-04-07_final
2020-04-07 11:39:18	ga_ls8c_ard_3-1-0_113077_2020-04-07_final
2020-04-07 11:39:42	ga_ls8c_ard_3-1-0_113078_2020-04-07_final
2020-04-23 11:37:11	ga_ls8c_ard_3-1-0_113072_2020-04-23_final
2020-04-23 11:37:35	ga_ls8c_ard_3-1-0_113073_2020-04-23_final
2020-04-23 11:37:59	ga_ls8c_ard_3-1-0_113074_2020-04-23_final
2020-04-23 11:38:23	ga_ls8c_ard_3-1-0_113075_2020-04-23_final
2020-04-23 11:38:47	ga_ls8c_ard_3-1-0_113076_2020-04-23_final
2020-04-23 11:39:11	ga_ls8c_ard_3-1-0_113077_2020-04-23_final
2020-04-23 11:39:35	ga_ls8c_ard_3-1-0_113078_2020-04-23_final
2020-06-01 11:41:20	ga_ls8c_ard_3-1-0_114067_2020-06-01_final
2020-06-05 11:23:26	ga_ls8c_ard_3-1-0_110084_2020-06-05_final
2020-06-05 11:23:50	ga_ls8c_ard_3-1-0_110085_2020-06-05_final
2021-12-15 11:33:48	ga_ls8c_ard_3-2-1_112077_2021-12-15_final
2021-12-15 11:34:12	ga_ls8c_ard_3-2-1_112078_2021-12-15_final
2021-12-15 11:34:36	ga_ls8c_ard_3-2-1_112079_2021-12-15_final
2021-12-15 11:35:00	ga_ls8c_ard_3-2-1_112080_2021-12-15_final
2021-12-15 11:35:24	ga_ls8c_ard_3-2-1_112081_2021-12-15_final
2021-12-15 11:35:48	ga_ls8c_ard_3-2-1_112082_2021-12-15_final
2021-12-17 11:24:14	ga_ls8c_ard_3-2-1_110084_2021-12-17_final
2021-12-17 11:24:38	ga_ls8c_ard_3-2-1_110085_2021-12-17_final
2021-12-22 11:37:58	ga_ls8c_ard_3-2-1_113072_2021-12-22_final
2021-12-22 11:38:22	ga_ls8c_ard_3-2-1_113073_2021-12-22_final
2021-12-22 11:38:46	ga_ls8c_ard_3-2-1_113074_2021-12-22_final
2021-12-22 11:39:10	ga_ls8c_ard_3-2-1_113075_2021-12-22_final
2021-12-22 11:39:34	ga_ls8c_ard_3-2-1_113076_2021-12-22_final
2021-12-22 11:39:57	ga_ls8c_ard_3-2-1_113077_2021-12-22_final
2021-12-22 11:40:21	ga_ls8c_ard_3-2-1_113078_2021-12-22_final
2022-01-02 11:24:32	ga_ls8c_ard_3-2-1_110085_2022-01-02_final
2022-01-16 11:33:41	ga_ls8c_ard_3-2-1_112077_2022-01-16_final
2022-01-16 11:34:05	ga_ls8c_ard_3-2-1_112078_2022-01-16_final
2022-01-16 11:34:29	ga_ls8c_ard_3-2-1_112079_2022-01-16_final
2022-01-16 11:34:53	ga_ls8c_ard_3-2-1_112080_2022-01-16_final
2022-01-16 11:35:17	ga_ls8c_ard_3-2-1_112081_2022-01-16_final
2022-01-16 11:35:41	ga_ls8c_ard_3-2-1_112082_2022-01-16_final
2022-02-08 11:38:34	ga_ls8c_ard_3-2-1_113074_2022-02-08_final
2022-02-08 11:38:58	ga_ls8c_ard_3-2-1_113075_2022-02-08_final
2022-02-08 11:39:22	ga_ls8c_ard_3-2-1_113076_2022-02-08_final
2022-02-08 11:39:46	ga_ls8c_ard_3-2-1_113077_2022-02-08_final
2022-02-08 11:40:10	ga_ls8c_ard_3-2-1_113078_2022-02-08_final
2022-02-10 11:28:59	ga_ls8c_ard_3-2-1_111081_2022-02-10_final
2022-02-10 11:29:23	ga_ls8c_ard_3-2-1_111082_2022-02-10_final
2022-02-10 11:29:47	ga_ls8c_ard_3-2-1_111083_2022-02-10_final
2022-02-10 11:30:11	ga_ls8c_ard_3-2-1_111084_2022-02-10_final
2022-02-26 11:28:54	ga_ls8c_ard_3-2-1_111081_2022-02-26_final
2022-02-26 11:29:18	ga_ls8c_ard_3-2-1_111082_2022-02-26_final
2022-02-26 11:29:42	ga_ls8c_ard_3-2-1_111083_2022-02-26_final
2022-02-26 11:30:06	ga_ls8c_ard_3-2-1_111084_2022-02-26_final
2022-05-08 11:32:56	ga_ls8c_ard_3-2-1_112076_2022-05-08_final
2022-05-08 11:33:20	ga_ls8c_ard_3-2-1_112077_2022-05-08_final
2022-05-08 11:33:44	ga_ls8c_ard_3-2-1_112078_2022-05-08_final
2022-05-08 11:34:08	ga_ls8c_ard_3-2-1_112079_2022-05-08_final
2022-05-08 11:34:32	ga_ls8c_ard_3-2-1_112080_2022-05-08_final
2022-05-08 11:34:56	ga_ls8c_ard_3-2-1_112081_2022-05-08_final
2022-05-08 11:35:20	ga_ls8c_ard_3-2-1_112082_2022-05-08_final
2022-05-10 11:23:47	ga_ls8c_ard_3-2-1_110084_2022-05-10_final
2022-05-10 11:24:11	ga_ls8c_ard_3-2-1_110085_2022-05-10_final
2022-05-24 11:33:24	ga_ls8c_ard_3-2-1_112077_2022-05-24_final
2022-05-24 11:33:48	ga_ls8c_ard_3-2-1_112078_2022-05-24_final
2022-05-24 11:34:12	ga_ls8c_ard_3-2-1_112079_2022-05-24_final
2022-05-24 11:34:36	ga_ls8c_ard_3-2-1_112080_2022-05-24_final
2022-05-24 11:35:00	ga_ls8c_ard_3-2-1_112081_2022-05-24_final
2022-05-24 11:35:24	ga_ls8c_ard_3-2-1_112082_2022-05-24_final
2022-05-26 11:23:49	ga_ls8c_ard_3-2-1_110084_2022-05-26_final
2022-05-26 11:24:13	ga_ls8c_ard_3-2-1_110085_2022-05-26_final
2022-07-27 11:33:26	ga_ls8c_ard_3-2-1_112076_2022-07-27_final
2022-07-27 11:33:50	ga_ls8c_ard_3-2-1_112077_2022-07-27_final
2022-07-27 11:34:14	ga_ls8c_ard_3-2-1_112078_2022-07-27_final
2022-07-27 11:34:38	ga_ls8c_ard_3-2-1_112079_2022-07-27_final
2022-07-27 11:35:02	ga_ls8c_ard_3-2-1_112080_2022-07-27_final
2022-07-27 11:35:26	ga_ls8c_ard_3-2-1_112081_2022-07-27_final
2022-07-27 11:35:50	ga_ls8c_ard_3-2-1_112082_2022-07-27_final
2022-07-29 11:24:17	ga_ls8c_ard_3-2-1_110084_2022-07-29_final
2022-07-29 11:24:41	ga_ls8c_ard_3-2-1_110085_2022-07-29_final
2022-08-03 11:38:05	ga_ls8c_ard_3-2-1_113072_2022-08-03_final
2022-08-03 11:38:29	ga_ls8c_ard_3-2-1_113073_2022-08-03_final
2022-08-03 11:38:53	ga_ls8c_ard_3-2-1_113074_2022-08-03_final
2022-08-03 11:39:17	ga_ls8c_ard_3-2-1_113075_2022-08-03_final
2022-08-03 11:39:41	ga_ls8c_ard_3-2-1_113076_2022-08-03_final
2022-08-03 11:40:05	ga_ls8c_ard_3-2-1_113077_2022-08-03_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