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
2013-03-31 09:35:02	ga_ls8c_ard_3-0-0_092082_2013-03-31_final
2013-03-31 09:35:26	ga_ls8c_ard_3-0-0_092083_2013-03-31_final
2013-03-31 09:35:50	ga_ls8c_ard_3-0-0_092084_2013-03-31_final
2013-03-31 09:36:14	ga_ls8c_ard_3-0-0_092085_2013-03-31_final
2013-07-04 09:43:24	ga_ls8c_ard_3-0-0_094075_2013-07-04_final
2013-07-04 09:43:48	ga_ls8c_ard_3-0-0_094076_2013-07-04_final
2013-08-21 09:45:03	ga_ls8c_ard_3-0-0_094079_2013-08-21_final
2013-08-21 09:45:27	ga_ls8c_ard_3-0-0_094080_2013-08-21_final
2013-08-21 09:45:51	ga_ls8c_ard_3-0-0_094081_2013-08-21_final
2013-08-23 09:34:18	ga_ls8c_ard_3-0-0_092083_2013-08-23_final
2013-08-23 09:34:42	ga_ls8c_ard_3-0-0_092084_2013-08-23_final
2013-08-23 09:35:06	ga_ls8c_ard_3-0-0_092085_2013-08-23_final
2013-08-23 09:35:29	ga_ls8c_ard_3-0-0_092086_2013-08-23_final
2013-08-23 09:35:53	ga_ls8c_ard_3-0-0_092087_2013-08-23_final
2013-08-23 09:36:17	ga_ls8c_ard_3-0-0_092088_2013-08-23_final
2013-08-23 09:36:41	ga_ls8c_ard_3-0-0_092089_2013-08-23_final
2018-02-24 09:41:10	ga_ls8c_ard_3-0-0_094075_2018-02-24_final
2018-02-24 09:41:34	ga_ls8c_ard_3-0-0_094076_2018-02-24_final
2018-02-24 09:41:58	ga_ls8c_ard_3-0-0_094077_2018-02-24_final
2018-02-24 09:42:22	ga_ls8c_ard_3-0-0_094078_2018-02-24_final
2018-02-24 09:42:46	ga_ls8c_ard_3-0-0_094079_2018-02-24_final
2018-02-24 09:43:10	ga_ls8c_ard_3-0-0_094080_2018-02-24_final
2018-02-24 09:43:34	ga_ls8c_ard_3-0-0_094081_2018-02-24_final
2018-02-26 09:31:59	ga_ls8c_ard_3-0-0_092083_2018-02-26_final
2018-02-26 09:32:23	ga_ls8c_ard_3-0-0_092084_2018-02-26_final
2018-02-26 09:32:47	ga_ls8c_ard_3-0-0_092085_2018-02-26_final
2018-02-26 09:33:11	ga_ls8c_ard_3-0-0_092086_2018-02-26_final
2018-02-26 09:33:35	ga_ls8c_ard_3-0-0_092087_2018-02-26_final
2018-02-26 09:33:59	ga_ls8c_ard_3-0-0_092088_2018-02-26_final
2018-02-26 09:34:23	ga_ls8c_ard_3-0-0_092089_2018-02-26_final
2018-03-12 09:41:01	ga_ls8c_ard_3-0-0_094075_2018-03-12_final
2018-03-12 09:41:25	ga_ls8c_ard_3-0-0_094076_2018-03-12_final
2018-03-12 09:41:49	ga_ls8c_ard_3-0-0_094077_2018-03-12_final
2018-03-12 09:42:13	ga_ls8c_ard_3-0-0_094078_2018-03-12_final
2018-03-12 09:42:37	ga_ls8c_ard_3-0-0_094079_2018-03-12_final
2018-03-12 09:43:01	ga_ls8c_ard_3-0-0_094080_2018-03-12_final
2018-03-12 09:43:25	ga_ls8c_ard_3-0-0_094081_2018-03-12_final
2018-03-14 09:31:50	ga_ls8c_ard_3-0-0_092083_2018-03-14_final
2018-03-14 09:32:14	ga_ls8c_ard_3-0-0_092084_2018-03-14_final
2018-03-14 09:32:38	ga_ls8c_ard_3-0-0_092085_2018-03-14_final
2018-03-14 09:33:02	ga_ls8c_ard_3-0-0_092086_2018-03-14_final
2018-03-14 09:33:26	ga_ls8c_ard_3-0-0_092087_2018-03-14_final
2018-03-14 09:33:49	ga_ls8c_ard_3-0-0_092088_2018-03-14_final
2018-03-14 09:34:13	ga_ls8c_ard_3-0-0_092089_2018-03-14_final
2018-05-17 09:31:15	ga_ls8c_ard_3-0-0_092083_2018-05-17_final
2018-05-17 09:31:39	ga_ls8c_ard_3-0-0_092084_2018-05-17_final
2018-05-17 09:32:03	ga_ls8c_ard_3-0-0_092085_2018-05-17_final
2018-05-17 09:32:26	ga_ls8c_ard_3-0-0_092086_2018-05-17_final
2018-05-17 09:32:50	ga_ls8c_ard_3-0-0_092087_2018-05-17_final
2018-05-17 09:33:14	ga_ls8c_ard_3-0-0_092088_2018-05-17_final
2018-05-17 09:33:38	ga_ls8c_ard_3-0-0_092089_2018-05-17_final
2018-07-02 09:40:29	ga_ls8c_ard_3-0-0_094075_2018-07-02_final
2018-07-02 09:40:53	ga_ls8c_ard_3-0-0_094076_2018-07-02_final
2018-07-02 09:41:17	ga_ls8c_ard_3-0-0_094077_2018-07-02_final
2018-07-02 09:41:41	ga_ls8c_ard_3-0-0_094078_2018-07-02_final
2018-07-02 09:42:05	ga_ls8c_ard_3-0-0_094079_2018-07-02_final
2018-07-02 09:42:29	ga_ls8c_ard_3-0-0_094080_2018-07-02_final
2018-07-02 09:42:53	ga_ls8c_ard_3-0-0_094081_2018-07-02_final
2018-07-04 09:31:20	ga_ls8c_ard_3-0-0_092083_2018-07-04_final
2018-07-04 09:31:44	ga_ls8c_ard_3-0-0_092084_2018-07-04_final
2018-07-04 09:32:08	ga_ls8c_ard_3-0-0_092085_2018-07-04_final
2018-07-04 09:32:32	ga_ls8c_ard_3-0-0_092086_2018-07-04_final
2018-07-04 09:32:56	ga_ls8c_ard_3-0-0_092087_2018-07-04_final
2018-07-04 09:33:20	ga_ls8c_ard_3-0-0_092088_2018-07-04_final
2018-07-04 09:33:44	ga_ls8c_ard_3-0-0_092089_2018-07-04_final
2019-07-14 09:36:47	ga_ls8c_ard_3-1-0_093079_2019-07-14_final
2019-07-14 09:37:11	ga_ls8c_ard_3-1-0_093080_2019-07-14_final
2019-07-14 09:37:35	ga_ls8c_ard_3-1-0_093081_2019-07-14_final
2019-07-14 09:37:58	ga_ls8c_ard_3-1-0_093082_2019-07-14_final
2019-07-14 09:38:22	ga_ls8c_ard_3-1-0_093083_2019-07-14_final
2019-07-14 09:38:46	ga_ls8c_ard_3-1-0_093084_2019-07-14_final
2019-07-14 09:39:10	ga_ls8c_ard_3-1-0_093085_2019-07-14_final
2019-07-16 09:27:37	ga_ls8c_ard_3-1-0_091087_2019-07-15_final
2019-07-16 09:28:01	ga_ls8c_ard_3-1-0_091088_2019-07-15_final
2019-07-16 09:28:25	ga_ls8c_ard_3-1-0_091089_2019-07-15_final
2019-07-16 09:28:49	ga_ls8c_ard_3-1-0_091090_2019-07-15_final
2019-07-16 09:29:13	ga_ls8c_ard_3-1-0_091091_2019-07-15_final
2019-10-04 09:28:02	ga_ls8c_ard_3-1-0_091087_2019-10-03_final
2019-10-04 09:28:26	ga_ls8c_ard_3-1-0_091088_2019-10-03_final
2019-10-04 09:28:50	ga_ls8c_ard_3-1-0_091089_2019-10-03_final
2019-10-04 09:29:14	ga_ls8c_ard_3-1-0_091090_2019-10-03_final
2019-10-04 09:29:38	ga_ls8c_ard_3-1-0_091091_2019-10-03_final
2019-10-07 09:50:58	ga_ls8c_ard_3-1-0_096067_2019-10-07_final
2019-10-07 09:51:22	ga_ls8c_ard_3-1-0_096068_2019-10-07_final
2019-10-07 09:51:46	ga_ls8c_ard_3-1-0_096069_2019-10-07_final
2019-10-07 09:52:10	ga_ls8c_ard_3-1-0_096070_2019-10-07_final
2019-10-07 09:52:33	ga_ls8c_ard_3-1-0_096071_2019-10-07_final
2019-11-10 09:41:47	ga_ls8c_ard_3-1-0_094075_2019-11-10_final
2019-11-10 09:42:11	ga_ls8c_ard_3-1-0_094076_2019-11-10_final
2019-11-10 09:42:35	ga_ls8c_ard_3-1-0_094077_2019-11-10_final
2019-11-10 09:42:59	ga_ls8c_ard_3-1-0_094078_2019-11-10_final
2019-11-10 09:43:23	ga_ls8c_ard_3-1-0_094079_2019-11-10_final
2019-11-10 09:43:47	ga_ls8c_ard_3-1-0_094080_2019-11-10_final
2019-11-10 09:44:11	ga_ls8c_ard_3-1-0_094081_2019-11-10_final
2019-11-12 09:32:37	ga_ls8c_ard_3-1-0_092083_2019-11-12_final
2019-11-12 09:33:01	ga_ls8c_ard_3-1-0_092084_2019-11-12_final
2019-11-12 09:33:25	ga_ls8c_ard_3-1-0_092085_2019-11-12_final
2019-11-12 09:33:49	ga_ls8c_ard_3-1-0_092086_2019-11-12_final
2019-11-12 09:34:13	ga_ls8c_ard_3-1-0_092087_2019-11-12_final
2019-11-12 09:34:36	ga_ls8c_ard_3-1-0_092088_2019-11-12_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