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
2016-12-06 10:09:03	ga_ls8c_ard_3-2-1_099066_2016-12-06_final
2016-12-06 10:09:27	ga_ls8c_ard_3-0-0_099067_2016-12-06_final
2016-12-06 10:09:51	ga_ls8c_ard_3-0-0_099068_2016-12-06_final
2016-12-06 10:10:15	ga_ls8c_ard_3-0-0_099069_2016-12-06_final
2016-12-06 10:10:39	ga_ls8c_ard_3-0-0_099070_2016-12-06_final
2016-12-06 10:11:02	ga_ls8c_ard_3-0-0_099071_2016-12-06_final
2016-12-08 10:00:16	ga_ls8c_ard_3-0-0_097075_2016-12-08_final
2016-12-08 10:00:40	ga_ls8c_ard_3-0-0_097076_2016-12-08_final
2016-12-08 10:01:04	ga_ls8c_ard_3-0-0_097077_2016-12-08_final
2016-12-08 10:01:28	ga_ls8c_ard_3-0-0_097078_2016-12-08_final
2016-12-08 10:01:52	ga_ls8c_ard_3-0-0_097079_2016-12-08_final
2016-12-08 10:02:16	ga_ls8c_ard_3-0-0_097080_2016-12-08_final
2016-12-08 10:02:40	ga_ls8c_ard_3-0-0_097081_2016-12-08_final
2016-12-10 09:51:05	ga_ls8c_ard_3-0-0_095083_2016-12-10_final
2016-12-10 09:51:29	ga_ls8c_ard_3-0-0_095084_2016-12-10_final
2016-12-10 09:51:53	ga_ls8c_ard_3-0-0_095085_2016-12-10_final
2016-12-10 09:52:17	ga_ls8c_ard_3-0-0_095086_2016-12-10_final
2016-12-10 09:52:41	ga_ls8c_ard_3-0-0_095087_2016-12-10_final
2016-12-10 09:53:05	ga_ls8c_ard_3-0-0_095088_2016-12-10_final
2016-12-26 09:51:02	ga_ls8c_ard_3-0-0_095083_2016-12-26_final
2016-12-26 09:51:26	ga_ls8c_ard_3-0-0_095084_2016-12-26_final
2016-12-26 09:51:50	ga_ls8c_ard_3-0-0_095085_2016-12-26_final
2016-12-26 09:52:14	ga_ls8c_ard_3-0-0_095086_2016-12-26_final
2016-12-26 09:52:37	ga_ls8c_ard_3-0-0_095087_2016-12-26_final
2016-12-26 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-12-26_final
2016-12-29 10:15:33	ga_ls8c_ard_3-0-0_100067_2016-12-29_final
2016-12-31 10:04:46	ga_ls8c_ard_3-0-0_098071_2016-12-31_final
2016-12-31 10:05:10	ga_ls8c_ard_3-0-0_098072_2016-12-31_final
2016-12-31 10:05:34	ga_ls8c_ard_3-0-0_098073_2016-12-31_final
2016-12-31 10:05:58	ga_ls8c_ard_3-0-0_098074_2016-12-31_final
2016-12-31 10:06:22	ga_ls8c_ard_3-0-0_098075_2016-12-31_final
2016-12-31 10:06:46	ga_ls8c_ard_3-0-0_098076_2016-12-31_final
2017-01-02 09:55:35	ga_ls8c_ard_3-0-0_096079_2017-01-02_final
2017-01-02 09:55:59	ga_ls8c_ard_3-0-0_096080_2017-01-02_final
2017-01-02 09:56:23	ga_ls8c_ard_3-0-0_096081_2017-01-02_final
2017-01-02 09:56:47	ga_ls8c_ard_3-0-0_096082_2017-01-02_final
2017-01-02 09:57:11	ga_ls8c_ard_3-0-0_096083_2017-01-02_final
2017-01-02 09:57:35	ga_ls8c_ard_3-0-0_096084_2017-01-02_final
2017-01-02 09:57:59	ga_ls8c_ard_3-0-0_096085_2017-01-02_final
2017-01-07 10:09:19	ga_ls8c_ard_3-0-0_099067_2017-01-07_final
2017-01-07 10:09:43	ga_ls8c_ard_3-0-0_099068_2017-01-07_final
2017-01-07 10:10:07	ga_ls8c_ard_3-0-0_099069_2017-01-07_final
2017-01-07 10:10:31	ga_ls8c_ard_3-0-0_099070_2017-01-07_final
2017-01-07 10:10:55	ga_ls8c_ard_3-0-0_099071_2017-01-07_final
2017-01-09 10:00:09	ga_ls8c_ard_3-0-0_097075_2017-01-09_final
2017-01-09 10:00:33	ga_ls8c_ard_3-0-0_097076_2017-01-09_final
2017-01-09 10:00:57	ga_ls8c_ard_3-0-0_097077_2017-01-09_final
2017-01-09 10:01:21	ga_ls8c_ard_3-0-0_097078_2017-01-09_final
2017-01-09 10:01:45	ga_ls8c_ard_3-0-0_097079_2017-01-09_final
2017-01-09 10:02:09	ga_ls8c_ard_3-0-0_097080_2017-01-09_final
2017-01-09 10:02:32	ga_ls8c_ard_3-0-0_097081_2017-01-09_final
2017-01-23 10:09:15	ga_ls8c_ard_3-0-0_099067_2017-01-23_final
2017-01-23 10:09:38	ga_ls8c_ard_3-0-0_099068_2017-01-23_final
2017-01-23 10:10:02	ga_ls8c_ard_3-0-0_099069_2017-01-23_final
2017-01-23 10:10:26	ga_ls8c_ard_3-0-0_099070_2017-01-23_final
2017-01-23 10:10:50	ga_ls8c_ard_3-0-0_099071_2017-01-23_final
2019-12-01 10:00:17	ga_ls8c_ard_3-1-0_097075_2019-12-01_final
2019-12-01 10:00:41	ga_ls8c_ard_3-1-0_097076_2019-12-01_final
2019-12-01 10:01:05	ga_ls8c_ard_3-1-0_097077_2019-12-01_final
2019-12-01 10:01:29	ga_ls8c_ard_3-1-0_097078_2019-12-01_final
2019-12-01 10:01:53	ga_ls8c_ard_3-1-0_097079_2019-12-01_final
2019-12-01 10:02:16	ga_ls8c_ard_3-1-0_097080_2019-12-01_final
2019-12-01 10:02:40	ga_ls8c_ard_3-1-0_097081_2019-12-01_final
2020-01-09 10:04:44	ga_ls8c_ard_3-1-0_098071_2020-01-09_final
2020-01-09 10:05:08	ga_ls8c_ard_3-1-0_098072_2020-01-09_final
2020-01-09 10:05:32	ga_ls8c_ard_3-1-0_098073_2020-01-09_final
2020-01-09 10:05:56	ga_ls8c_ard_3-1-0_098074_2020-01-09_final
2020-01-09 10:06:20	ga_ls8c_ard_3-1-0_098075_2020-01-09_final
2020-01-09 10:06:44	ga_ls8c_ard_3-1-0_098076_2020-01-09_final
2020-01-25 10:04:40	ga_ls8c_ard_3-1-0_098071_2020-01-25_final
2020-01-25 10:05:04	ga_ls8c_ard_3-1-0_098072_2020-01-25_final
2020-01-25 10:05:28	ga_ls8c_ard_3-1-0_098073_2020-01-25_final
2020-01-25 10:05:52	ga_ls8c_ard_3-1-0_098074_2020-01-25_final
2020-01-25 10:06:16	ga_ls8c_ard_3-1-0_098075_2020-01-25_final
2020-01-25 10:06:40	ga_ls8c_ard_3-1-0_098076_2020-01-25_final
2023-04-30 10:08:13	ga_ls8c_ard_3-2-1_099066_2023-04-30_final
2023-04-30 10:08:37	ga_ls8c_ard_3-2-1_099067_2023-04-30_final
2023-04-30 10:09:01	ga_ls8c_ard_3-2-1_099068_2023-04-30_final
2023-04-30 10:09:25	ga_ls8c_ard_3-2-1_099069_2023-04-30_final
2023-04-30 10:09:49	ga_ls8c_ard_3-2-1_099070_2023-04-30_final
2023-04-30 10:10:13	ga_ls8c_ard_3-2-1_099071_2023-04-30_final
2023-06-01 10:08:02	ga_ls8c_ard_3-2-1_099066_2023-06-01_final
2023-06-01 10:08:26	ga_ls8c_ard_3-2-1_099067_2023-06-01_final
2023-06-01 10:08:50	ga_ls8c_ard_3-2-1_099068_2023-06-01_final
2023-06-01 10:09:14	ga_ls8c_ard_3-2-1_099069_2023-06-01_final
2023-06-01 10:09:38	ga_ls8c_ard_3-2-1_099070_2023-06-01_final
2023-06-01 10:10:02	ga_ls8c_ard_3-2-1_099071_2023-06-01_final
2023-06-03 09:59:17	ga_ls8c_ard_3-2-1_097075_2023-06-03_final
2023-06-03 09:59:41	ga_ls8c_ard_3-2-1_097076_2023-06-03_final
2023-06-03 10:00:05	ga_ls8c_ard_3-2-1_097077_2023-06-03_final
2023-06-03 10:00:29	ga_ls8c_ard_3-2-1_097078_2023-06-03_final
2023-06-03 10:00:53	ga_ls8c_ard_3-2-1_097079_2023-06-03_final
2023-06-03 10:01:17	ga_ls8c_ard_3-2-1_097080_2023-06-03_final
2023-06-03 10:01:41	ga_ls8c_ard_3-2-1_097081_2023-06-03_final
2023-06-28 09:56:32	ga_ls8c_ard_3-2-1_096083_2023-06-28_final
2023-06-28 09:56:56	ga_ls8c_ard_3-2-1_096084_2023-06-28_final
2023-06-28 09:57:20	ga_ls8c_ard_3-2-1_096085_2023-06-28_final
2023-07-07 09:50:28	ga_ls8c_ard_3-2-1_095083_2023-07-07_final
2023-07-07 09:50:52	ga_ls8c_ard_3-2-1_095084_2023-07-07_final
2023-07-07 09:51:16	ga_ls8c_ard_3-2-1_095085_2023-07-07_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