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:

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First 100 results (query limit)

Time (local)	Label
2015-12-31 09:50:42	ga_ls8c_ard_3-0-0_096067_2015-12-31_final
2015-12-31 09:51:06	ga_ls8c_ard_3-0-0_096068_2015-12-31_final
2015-12-31 09:51:30	ga_ls8c_ard_3-0-0_096069_2015-12-31_final
2015-12-31 09:51:54	ga_ls8c_ard_3-0-0_096070_2015-12-31_final
2015-12-31 09:52:18	ga_ls8c_ard_3-0-0_096071_2015-12-31_final
2015-12-31 09:52:42	ga_ls8c_ard_3-0-0_096072_2015-12-31_final
2016-01-02 09:41:31	ga_ls8c_ard_3-0-0_094075_2016-01-02_final
2016-01-02 09:41:55	ga_ls8c_ard_3-0-0_094076_2016-01-02_final
2016-01-02 09:42:19	ga_ls8c_ard_3-0-0_094077_2016-01-02_final
2016-01-02 09:42:43	ga_ls8c_ard_3-0-0_094078_2016-01-02_final
2016-01-02 09:43:07	ga_ls8c_ard_3-0-0_094079_2016-01-02_final
2016-01-02 09:43:31	ga_ls8c_ard_3-0-0_094080_2016-01-02_final
2016-01-02 09:43:55	ga_ls8c_ard_3-0-0_094081_2016-01-02_final
2019-06-30 09:27:34	ga_ls8c_ard_3-1-0_091087_2019-06-29_final
2019-06-30 09:27:58	ga_ls8c_ard_3-1-0_091088_2019-06-29_final
2019-06-30 09:28:22	ga_ls8c_ard_3-1-0_091089_2019-06-29_final
2019-06-30 09:28:46	ga_ls8c_ard_3-1-0_091090_2019-06-29_final
2019-06-30 09:29:10	ga_ls8c_ard_3-1-0_091091_2019-06-29_final
2019-07-03 09:50:30	ga_ls8c_ard_3-1-0_096067_2019-07-03_final
2019-07-03 09:50:54	ga_ls8c_ard_3-1-0_096068_2019-07-03_final
2019-07-03 09:51:18	ga_ls8c_ard_3-1-0_096069_2019-07-03_final
2019-07-03 09:51:42	ga_ls8c_ard_3-1-0_096070_2019-07-03_final
2019-07-03 09:52:06	ga_ls8c_ard_3-1-0_096071_2019-07-03_final
2019-07-03 09:52:30	ga_ls8c_ard_3-1-0_096072_2019-07-03_final
2019-07-23 09:32:14	ga_ls8c_ard_3-1-0_092083_2019-07-23_final
2019-07-23 09:32:38	ga_ls8c_ard_3-1-0_092084_2019-07-23_final
2019-07-23 09:33:02	ga_ls8c_ard_3-1-0_092085_2019-07-23_final
2019-07-23 09:33:26	ga_ls8c_ard_3-1-0_092086_2019-07-23_final
2019-07-23 09:33:50	ga_ls8c_ard_3-1-0_092087_2019-07-23_final
2019-07-23 09:34:14	ga_ls8c_ard_3-1-0_092088_2019-07-23_final
2019-07-23 09:34:38	ga_ls8c_ard_3-1-0_092089_2019-07-23_final
2019-07-25 09:22:41	ga_ls8c_ard_3-1-0_090090_2019-07-24_final
2019-07-25 09:23:05	ga_ls8c_ard_3-1-0_090091_2019-07-24_final
2019-08-17 09:27:49	ga_ls8c_ard_3-1-0_091087_2019-08-16_final
2019-08-17 09:28:13	ga_ls8c_ard_3-1-0_091088_2019-08-16_final
2019-08-17 09:28:37	ga_ls8c_ard_3-1-0_091089_2019-08-16_final
2019-08-17 09:29:01	ga_ls8c_ard_3-1-0_091090_2019-08-16_final
2019-08-17 09:29:25	ga_ls8c_ard_3-1-0_091091_2019-08-16_final
2019-08-20 09:50:45	ga_ls8c_ard_3-1-0_096067_2019-08-20_final
2019-08-20 09:51:09	ga_ls8c_ard_3-1-0_096068_2019-08-20_final
2019-08-20 09:51:33	ga_ls8c_ard_3-1-0_096069_2019-08-20_final
2019-08-20 09:51:57	ga_ls8c_ard_3-1-0_096070_2019-08-20_final
2019-08-20 09:52:20	ga_ls8c_ard_3-1-0_096071_2019-08-20_final
2019-08-20 09:52:44	ga_ls8c_ard_3-1-0_096072_2019-08-20_final
2019-09-09 09:32:29	ga_ls8c_ard_3-1-0_092083_2019-09-09_final
2019-09-09 09:32:53	ga_ls8c_ard_3-1-0_092084_2019-09-09_final
2019-09-09 09:33:17	ga_ls8c_ard_3-1-0_092085_2019-09-09_final
2019-09-09 09:33:41	ga_ls8c_ard_3-1-0_092086_2019-09-09_final
2019-09-09 09:34:05	ga_ls8c_ard_3-1-0_092087_2019-09-09_final
2019-09-09 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-09-09_final
2019-09-09 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-09-09_final
2019-09-11 09:22:56	ga_ls8c_ard_3-1-0_090090_2019-09-10_final
2019-09-11 09:23:20	ga_ls8c_ard_3-1-0_090091_2019-09-10_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
2019-10-07 09:52:57	ga_ls8c_ard_3-1-0_096072_2019-10-07_final
2019-11-01 09:46:24	ga_ls8c_ard_3-1-0_095071_2019-11-01_final
2019-11-01 09:46:48	ga_ls8c_ard_3-1-0_095072_2019-11-01_final
2019-11-01 09:47:11	ga_ls8c_ard_3-1-0_095073_2019-11-01_final
2019-11-01 09:47:35	ga_ls8c_ard_3-1-0_095074_2019-11-01_final
2019-11-01 09:47:59	ga_ls8c_ard_3-1-0_095075_2019-11-01_final
2019-11-01 09:48:23	ga_ls8c_ard_3-1-0_095076_2019-11-01_final
2019-11-03 09:37:37	ga_ls8c_ard_3-1-0_093080_2019-11-03_final
2019-11-03 09:38:01	ga_ls8c_ard_3-1-0_093081_2019-11-03_final
2019-11-03 09:38:25	ga_ls8c_ard_3-1-0_093082_2019-11-03_final
2019-11-03 09:38:49	ga_ls8c_ard_3-1-0_093083_2019-11-03_final
2019-11-03 09:39:13	ga_ls8c_ard_3-1-0_093084_2019-11-03_final
2019-11-03 09:39:37	ga_ls8c_ard_3-1-0_093085_2019-11-03_final
2019-12-28 09:41:40	ga_ls8c_ard_3-1-0_094075_2019-12-28_final
2019-12-28 09:42:04	ga_ls8c_ard_3-1-0_094076_2019-12-28_final
2019-12-28 09:42:28	ga_ls8c_ard_3-1-0_094077_2019-12-28_final
2019-12-28 09:42:52	ga_ls8c_ard_3-1-0_094078_2019-12-28_final
2019-12-28 09:43:15	ga_ls8c_ard_3-1-0_094079_2019-12-28_final
2019-12-28 09:43:39	ga_ls8c_ard_3-1-0_094080_2019-12-28_final
2019-12-28 09:44:03	ga_ls8c_ard_3-1-0_094081_2019-12-28_final
2019-12-30 09:32:29	ga_ls8c_ard_3-1-0_092083_2019-12-30_final
2019-12-30 09:32:53	ga_ls8c_ard_3-1-0_092084_2019-12-30_final
2019-12-30 09:33:17	ga_ls8c_ard_3-1-0_092085_2019-12-30_final
2019-12-30 09:33:41	ga_ls8c_ard_3-1-0_092086_2019-12-30_final
2019-12-30 09:34:05	ga_ls8c_ard_3-1-0_092087_2019-12-30_final
2019-12-30 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-12-30_final
2019-12-30 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-12-30_final
2020-02-23 09:37:14	ga_ls8c_ard_3-1-0_093080_2020-02-23_final
2020-02-23 09:37:38	ga_ls8c_ard_3-1-0_093081_2020-02-23_final
2020-02-23 09:38:02	ga_ls8c_ard_3-1-0_093082_2020-02-23_final
2020-02-23 09:38:26	ga_ls8c_ard_3-1-0_093083_2020-02-23_final
2020-02-23 09:38:50	ga_ls8c_ard_3-1-0_093084_2020-02-23_final
2020-02-23 09:39:14	ga_ls8c_ard_3-1-0_093085_2020-02-23_final
2020-02-25 09:27:39	ga_ls8c_ard_3-1-0_091087_2020-02-24_final
2020-02-25 09:28:03	ga_ls8c_ard_3-1-0_091088_2020-02-24_final
2020-02-25 09:28:27	ga_ls8c_ard_3-1-0_091089_2020-02-24_final
2020-02-25 09:28:51	ga_ls8c_ard_3-1-0_091090_2020-02-24_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