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
2014-12-12 09:50:39	ga_ls8c_ard_3-0-0_096067_2014-12-12_final
2014-12-12 09:51:51	ga_ls8c_ard_3-0-0_096070_2014-12-12_final
2014-12-12 09:52:15	ga_ls8c_ard_3-0-0_096071_2014-12-12_final
2014-12-14 09:41:31	ga_ls8c_ard_3-0-0_094075_2014-12-14_final
2014-12-14 09:41:55	ga_ls8c_ard_3-0-0_094076_2014-12-14_final
2014-12-14 09:42:19	ga_ls8c_ard_3-0-0_094077_2014-12-14_final
2014-12-14 09:42:43	ga_ls8c_ard_3-0-0_094078_2014-12-14_final
2014-12-14 09:43:07	ga_ls8c_ard_3-0-0_094079_2014-12-14_final
2014-12-14 09:43:30	ga_ls8c_ard_3-0-0_094080_2014-12-14_final
2014-12-14 09:43:54	ga_ls8c_ard_3-0-0_094081_2014-12-14_final
2015-02-23 09:45:49	ga_ls8c_ard_3-0-0_095071_2015-02-23_final
2015-02-23 09:46:13	ga_ls8c_ard_3-0-0_095072_2015-02-23_final
2015-02-23 09:46:37	ga_ls8c_ard_3-0-0_095073_2015-02-23_final
2015-02-23 09:47:00	ga_ls8c_ard_3-0-0_095074_2015-02-23_final
2015-02-23 09:47:24	ga_ls8c_ard_3-0-0_095075_2015-02-23_final
2015-02-23 09:47:48	ga_ls8c_ard_3-0-0_095076_2015-02-23_final
2015-02-25 09:36:38	ga_ls8c_ard_3-0-0_093079_2015-02-25_final
2015-02-25 09:37:02	ga_ls8c_ard_3-0-0_093080_2015-02-25_final
2015-02-25 09:37:26	ga_ls8c_ard_3-0-0_093081_2015-02-25_final
2015-02-25 09:37:50	ga_ls8c_ard_3-0-0_093082_2015-02-25_final
2015-02-25 09:38:14	ga_ls8c_ard_3-0-0_093083_2015-02-25_final
2015-02-25 09:38:38	ga_ls8c_ard_3-0-0_093084_2015-02-25_final
2015-02-25 09:39:02	ga_ls8c_ard_3-0-0_093085_2015-02-25_final
2015-02-27 09:27:27	ga_ls8c_ard_3-0-0_091087_2015-02-26_final
2015-02-27 09:27:51	ga_ls8c_ard_3-0-0_091088_2015-02-26_final
2015-02-27 09:28:15	ga_ls8c_ard_3-0-0_091089_2015-02-26_final
2015-02-27 09:28:39	ga_ls8c_ard_3-0-0_091090_2015-02-26_final
2015-03-27 09:45:30	ga_ls8c_ard_3-0-0_095071_2015-03-27_final
2015-03-27 09:45:54	ga_ls8c_ard_3-0-0_095072_2015-03-27_final
2015-03-27 09:46:18	ga_ls8c_ard_3-0-0_095073_2015-03-27_final
2015-03-29 09:36:18	ga_ls8c_ard_3-0-0_093079_2015-03-29_final
2015-03-29 09:36:42	ga_ls8c_ard_3-0-0_093080_2015-03-29_final
2015-03-29 09:37:06	ga_ls8c_ard_3-0-0_093081_2015-03-29_final
2015-03-29 09:37:30	ga_ls8c_ard_3-0-0_093082_2015-03-29_final
2015-03-29 09:37:54	ga_ls8c_ard_3-0-0_093083_2015-03-29_final
2015-03-29 09:38:18	ga_ls8c_ard_3-0-0_093084_2015-03-29_final
2015-03-29 09:38:42	ga_ls8c_ard_3-0-0_093085_2015-03-29_final
2015-03-31 09:27:06	ga_ls8c_ard_3-0-0_091087_2015-03-30_final
2015-03-31 09:27:30	ga_ls8c_ard_3-0-0_091088_2015-03-30_final
2015-03-31 09:27:54	ga_ls8c_ard_3-0-0_091089_2015-03-30_final
2015-03-31 09:28:18	ga_ls8c_ard_3-0-0_091090_2015-03-30_final
2015-03-31 09:28:42	ga_ls8c_ard_3-0-0_091091_2015-03-30_final
2016-01-22 09:22:46	ga_ls8c_ard_3-0-0_090090_2016-01-21_final
2016-01-22 09:23:10	ga_ls8c_ard_3-0-0_090091_2016-01-21_final
2016-03-10 09:22:33	ga_ls8c_ard_3-0-0_090090_2016-03-09_final
2016-03-10 09:22:57	ga_ls8c_ard_3-0-0_090091_2016-03-09_final
2016-03-13 09:45:51	ga_ls8c_ard_3-0-0_095071_2016-03-13_final
2016-03-13 09:46:15	ga_ls8c_ard_3-0-0_095072_2016-03-13_final
2016-03-13 09:46:39	ga_ls8c_ard_3-0-0_095073_2016-03-13_final
2016-03-13 09:47:03	ga_ls8c_ard_3-0-0_095074_2016-03-13_final
2016-03-13 09:47:27	ga_ls8c_ard_3-0-0_095075_2016-03-13_final
2016-03-13 09:47:51	ga_ls8c_ard_3-0-0_095076_2016-03-13_final
2016-03-15 09:36:40	ga_ls8c_ard_3-0-0_093079_2016-03-15_final
2016-03-15 09:37:04	ga_ls8c_ard_3-0-0_093080_2016-03-15_final
2016-03-15 09:37:28	ga_ls8c_ard_3-0-0_093081_2016-03-15_final
2016-03-15 09:37:52	ga_ls8c_ard_3-0-0_093082_2016-03-15_final
2016-03-15 09:38:16	ga_ls8c_ard_3-0-0_093083_2016-03-15_final
2016-03-15 09:38:40	ga_ls8c_ard_3-0-0_093084_2016-03-15_final
2016-03-15 09:39:04	ga_ls8c_ard_3-0-0_093085_2016-03-15_final
2016-04-21 09:50:08	ga_ls8c_ard_3-0-0_096067_2016-04-21_final
2016-04-21 09:50:32	ga_ls8c_ard_3-0-0_096068_2016-04-21_final
2016-04-21 09:50:56	ga_ls8c_ard_3-0-0_096069_2016-04-21_final
2016-04-21 09:51:19	ga_ls8c_ard_3-0-0_096070_2016-04-21_final
2016-04-21 09:51:43	ga_ls8c_ard_3-0-0_096071_2016-04-21_final
2016-04-23 09:40:56	ga_ls8c_ard_3-0-0_094075_2016-04-23_final
2016-04-23 09:41:20	ga_ls8c_ard_3-0-0_094076_2016-04-23_final
2016-04-23 09:41:44	ga_ls8c_ard_3-0-0_094077_2016-04-23_final
2016-04-23 09:42:08	ga_ls8c_ard_3-0-0_094078_2016-04-23_final
2016-04-23 09:42:32	ga_ls8c_ard_3-0-0_094079_2016-04-23_final
2016-04-23 09:42:56	ga_ls8c_ard_3-0-0_094080_2016-04-23_final
2016-04-23 09:43:20	ga_ls8c_ard_3-0-0_094081_2016-04-23_final
2018-09-22 09:31:54	ga_ls8c_ard_3-0-0_092083_2018-09-22_final
2018-09-22 09:32:18	ga_ls8c_ard_3-0-0_092084_2018-09-22_final
2018-09-22 09:32:42	ga_ls8c_ard_3-0-0_092085_2018-09-22_final
2018-09-22 09:33:06	ga_ls8c_ard_3-0-0_092086_2018-09-22_final
2018-09-22 09:33:30	ga_ls8c_ard_3-0-0_092087_2018-09-22_final
2018-09-22 09:33:54	ga_ls8c_ard_3-0-0_092088_2018-09-22_final
2018-09-24 09:22:22	ga_ls8c_ard_3-0-0_090090_2018-09-23_final
2018-09-24 09:22:46	ga_ls8c_ard_3-0-0_090091_2018-09-23_final
2023-03-12 09:32:14	ga_ls8c_ard_3-2-1_092083_2023-03-12_final
2023-03-12 09:32:38	ga_ls8c_ard_3-2-1_092084_2023-03-12_final
2023-03-12 09:33:02	ga_ls8c_ard_3-2-1_092085_2023-03-12_final
2023-03-12 09:33:26	ga_ls8c_ard_3-2-1_092086_2023-03-12_final
2023-03-12 09:33:50	ga_ls8c_ard_3-2-1_092087_2023-03-12_final
2023-03-12 09:34:14	ga_ls8c_ard_3-2-1_092088_2023-03-12_final
2023-03-12 09:34:38	ga_ls8c_ard_3-2-1_092089_2023-03-12_final
2023-03-14 09:22:39	ga_ls8c_ard_3-2-1_090090_2023-03-13_final
2023-03-14 09:23:03	ga_ls8c_ard_3-2-1_090091_2023-03-13_final
2023-03-17 09:45:57	ga_ls8c_ard_3-2-1_095071_2023-03-17_final
2023-03-17 09:46:21	ga_ls8c_ard_3-2-1_095072_2023-03-17_final
2023-03-17 09:46:45	ga_ls8c_ard_3-2-1_095073_2023-03-17_final
2023-03-17 09:47:09	ga_ls8c_ard_3-2-1_095074_2023-03-17_final
2023-03-17 09:47:33	ga_ls8c_ard_3-2-1_095075_2023-03-17_final
2023-03-17 09:47:56	ga_ls8c_ard_3-2-1_095076_2023-03-17_final
2023-03-19 09:36:45	ga_ls8c_ard_3-2-1_093079_2023-03-19_final
2023-03-19 09:37:09	ga_ls8c_ard_3-2-1_093080_2023-03-19_final
2023-03-19 09:37:33	ga_ls8c_ard_3-2-1_093081_2023-03-19_final
2023-03-19 09:37:57	ga_ls8c_ard_3-2-1_093082_2023-03-19_final
2023-03-19 09:38:21	ga_ls8c_ard_3-2-1_093083_2023-03-19_final
2023-03-19 09:38:45	ga_ls8c_ard_3-2-1_093084_2023-03-19_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