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
2014-09-16 09:46:08	ga_ls8c_ard_3-0-0_095071_2014-09-16_final
2014-09-16 09:46:32	ga_ls8c_ard_3-0-0_095072_2014-09-16_final
2014-09-16 09:46:56	ga_ls8c_ard_3-0-0_095073_2014-09-16_final
2014-09-16 09:47:20	ga_ls8c_ard_3-0-0_095074_2014-09-16_final
2014-09-16 09:47:44	ga_ls8c_ard_3-0-0_095075_2014-09-16_final
2014-09-16 09:48:08	ga_ls8c_ard_3-0-0_095076_2014-09-16_final
2014-09-18 09:36:58	ga_ls8c_ard_3-0-0_093079_2014-09-18_final
2014-09-18 09:37:22	ga_ls8c_ard_3-0-0_093080_2014-09-18_final
2014-09-18 09:37:46	ga_ls8c_ard_3-0-0_093081_2014-09-18_final
2014-09-18 09:38:10	ga_ls8c_ard_3-0-0_093082_2014-09-18_final
2014-09-18 09:38:34	ga_ls8c_ard_3-0-0_093083_2014-09-18_final
2014-09-18 09:38:58	ga_ls8c_ard_3-0-0_093084_2014-09-18_final
2014-09-18 09:39:22	ga_ls8c_ard_3-1-0_093085_2014-09-18_final
2014-10-02 09:46:34	ga_ls8c_ard_3-0-0_095072_2014-10-02_final
2014-10-02 09:46:58	ga_ls8c_ard_3-0-0_095073_2014-10-02_final
2014-10-02 09:47:22	ga_ls8c_ard_3-0-0_095074_2014-10-02_final
2014-10-02 09:47:46	ga_ls8c_ard_3-0-0_095075_2014-10-02_final
2014-10-02 09:48:10	ga_ls8c_ard_3-0-0_095076_2014-10-02_final
2014-10-04 09:37:01	ga_ls8c_ard_3-0-0_093079_2014-10-04_final
2014-10-04 09:37:25	ga_ls8c_ard_3-0-0_093080_2014-10-04_final
2014-10-04 09:37:49	ga_ls8c_ard_3-0-0_093081_2014-10-04_final
2014-10-04 09:38:13	ga_ls8c_ard_3-0-0_093082_2014-10-04_final
2014-10-04 09:38:37	ga_ls8c_ard_3-0-0_093083_2014-10-04_final
2014-10-04 09:39:01	ga_ls8c_ard_3-0-0_093084_2014-10-04_final
2014-10-04 09:39:25	ga_ls8c_ard_3-1-0_093085_2014-10-04_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
2017-04-17 09:45:26	ga_ls8c_ard_3-0-0_095071_2017-04-17_final
2017-04-17 09:45:50	ga_ls8c_ard_3-0-0_095072_2017-04-17_final
2017-04-17 09:46:14	ga_ls8c_ard_3-0-0_095073_2017-04-17_final
2017-04-17 09:46:38	ga_ls8c_ard_3-0-0_095074_2017-04-17_final
2017-04-17 09:47:02	ga_ls8c_ard_3-0-0_095075_2017-04-17_final
2017-04-17 09:47:26	ga_ls8c_ard_3-0-0_095076_2017-04-17_final
2017-04-19 09:36:15	ga_ls8c_ard_3-0-0_093079_2017-04-19_final
2017-04-19 09:36:39	ga_ls8c_ard_3-0-0_093080_2017-04-19_final
2017-04-19 09:37:03	ga_ls8c_ard_3-0-0_093081_2017-04-19_final
2017-04-19 09:37:27	ga_ls8c_ard_3-0-0_093082_2017-04-19_final
2017-04-19 09:37:51	ga_ls8c_ard_3-0-0_093083_2017-04-19_final
2017-04-19 09:38:15	ga_ls8c_ard_3-0-0_093084_2017-04-19_final
2017-04-19 09:38:39	ga_ls8c_ard_3-0-0_093085_2017-04-19_final
2017-05-03 09:45:17	ga_ls8c_ard_3-0-0_095071_2017-05-03_final
2017-05-03 09:45:41	ga_ls8c_ard_3-0-0_095072_2017-05-03_final
2017-05-03 09:46:04	ga_ls8c_ard_3-0-0_095073_2017-05-03_final
2017-05-03 09:46:28	ga_ls8c_ard_3-0-0_095074_2017-05-03_final
2017-05-03 09:46:52	ga_ls8c_ard_3-0-0_095075_2017-05-03_final
2017-05-03 09:47:16	ga_ls8c_ard_3-0-0_095076_2017-05-03_final
2017-05-05 09:36:08	ga_ls8c_ard_3-0-0_093079_2017-05-05_final
2017-05-05 09:36:32	ga_ls8c_ard_3-0-0_093080_2017-05-05_final
2017-05-05 09:36:56	ga_ls8c_ard_3-0-0_093081_2017-05-05_final
2017-05-05 09:37:20	ga_ls8c_ard_3-0-0_093082_2017-05-05_final
2017-05-05 09:37:44	ga_ls8c_ard_3-0-0_093083_2017-05-05_final
2017-05-05 09:38:08	ga_ls8c_ard_3-0-0_093084_2017-05-05_final
2017-05-05 09:38:32	ga_ls8c_ard_3-0-0_093085_2017-05-05_final
2017-07-06 09:45:48	ga_ls8c_ard_3-0-0_095071_2017-07-06_final
2017-07-06 09:46:12	ga_ls8c_ard_3-0-0_095072_2017-07-06_final
2017-07-06 09:46:36	ga_ls8c_ard_3-0-0_095073_2017-07-06_final
2017-07-06 09:47:00	ga_ls8c_ard_3-0-0_095074_2017-07-06_final
2017-07-06 09:47:24	ga_ls8c_ard_3-0-0_095075_2017-07-06_final
2017-07-06 09:47:47	ga_ls8c_ard_3-0-0_095076_2017-07-06_final
2017-07-08 09:36:38	ga_ls8c_ard_3-0-0_093079_2017-07-08_final
2017-07-08 09:37:02	ga_ls8c_ard_3-0-0_093080_2017-07-08_final
2017-07-08 09:37:26	ga_ls8c_ard_3-0-0_093081_2017-07-08_final
2017-07-08 09:37:50	ga_ls8c_ard_3-0-0_093082_2017-07-08_final
2017-07-08 09:38:14	ga_ls8c_ard_3-0-0_093083_2017-07-08_final
2017-07-08 09:38:38	ga_ls8c_ard_3-0-0_093084_2017-07-08_final
2017-07-08 09:39:02	ga_ls8c_ard_3-0-0_093085_2017-07-08_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
2020-04-18 09:41:00	ga_ls8c_ard_3-1-0_094075_2020-04-18_final
2020-04-18 09:41:24	ga_ls8c_ard_3-1-0_094076_2020-04-18_final
2020-04-18 09:41:48	ga_ls8c_ard_3-1-0_094077_2020-04-18_final
2020-04-18 09:42:12	ga_ls8c_ard_3-1-0_094078_2020-04-18_final
2020-04-18 09:42:36	ga_ls8c_ard_3-1-0_094079_2020-04-18_final
2020-04-18 09:43:00	ga_ls8c_ard_3-1-0_094080_2020-04-18_final
2020-04-18 09:43:24	ga_ls8c_ard_3-1-0_094081_2020-04-18_final
2020-04-20 09:31:49	ga_ls8c_ard_3-1-0_092083_2020-04-20_final
2020-04-20 09:32:13	ga_ls8c_ard_3-1-0_092084_2020-04-20_final
2020-04-20 09:32:37	ga_ls8c_ard_3-1-0_092085_2020-04-20_final
2020-04-20 09:33:01	ga_ls8c_ard_3-1-0_092086_2020-04-20_final
2020-04-20 09:33:25	ga_ls8c_ard_3-1-0_092087_2020-04-20_final
2020-04-20 09:33:49	ga_ls8c_ard_3-1-0_092088_2020-04-20_final
2020-06-12 09:45:13	ga_ls8c_ard_3-1-0_095070_2020-06-12_final
2020-06-12 09:45:37	ga_ls8c_ard_3-1-0_095071_2020-06-12_final
2020-06-12 09:46:01	ga_ls8c_ard_3-1-0_095072_2020-06-12_final
2020-06-12 09:46:25	ga_ls8c_ard_3-1-0_095073_2020-06-12_final
2020-06-12 09:46:49	ga_ls8c_ard_3-1-0_095074_2020-06-12_final
2020-06-12 09:47:13	ga_ls8c_ard_3-1-0_095075_2020-06-12_final
2020-06-12 09:47:37	ga_ls8c_ard_3-1-0_095076_2020-06-12_final
2020-06-14 09:36:28	ga_ls8c_ard_3-1-0_093079_2020-06-14_final
2020-06-14 09:36:52	ga_ls8c_ard_3-1-0_093080_2020-06-14_final
2020-06-14 09:37:16	ga_ls8c_ard_3-1-0_093081_2020-06-14_final
2020-06-14 09:37:40	ga_ls8c_ard_3-1-0_093082_2020-06-14_final
2020-06-14 09:38:04	ga_ls8c_ard_3-1-0_093083_2020-06-14_final
2020-06-14 09:38:28	ga_ls8c_ard_3-1-0_093084_2020-06-14_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