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
2016-05-19 10:20:53	ga_ls8c_ard_3-0-0_100082_2016-05-19_final
2016-05-19 10:21:17	ga_ls8c_ard_3-0-0_100083_2016-05-19_final
2016-05-19 10:21:41	ga_ls8c_ard_3-0-0_100084_2016-05-19_final
2016-05-19 10:22:05	ga_ls8c_ard_3-0-0_100085_2016-05-19_final
2016-05-31 10:39:41	ga_ls8c_ard_3-0-0_104067_2016-05-31_final
2016-05-31 10:40:05	ga_ls8c_ard_3-0-0_104068_2016-05-31_final
2016-05-31 10:40:29	ga_ls8c_ard_3-0-0_104069_2016-05-31_final
2016-05-31 10:40:53	ga_ls8c_ard_3-0-0_104070_2016-05-31_final
2016-07-04 10:30:20	ga_ls8c_ard_3-0-0_102074_2016-07-04_final
2016-07-04 10:30:44	ga_ls8c_ard_3-0-0_102075_2016-07-04_final
2016-07-04 10:31:08	ga_ls8c_ard_3-0-0_102076_2016-07-04_final
2016-07-04 10:31:32	ga_ls8c_ard_3-1-0_102077_2016-07-04_final
2016-07-04 10:31:56	ga_ls8c_ard_3-0-0_102078_2016-07-04_final
2016-07-04 10:32:20	ga_ls8c_ard_3-0-0_102079_2016-07-04_final
2016-07-04 10:32:44	ga_ls8c_ard_3-0-0_102080_2016-07-04_final
2016-07-06 10:21:35	ga_ls8c_ard_3-0-0_100083_2016-07-06_final
2016-07-06 10:21:59	ga_ls8c_ard_3-0-0_100084_2016-07-06_final
2016-07-06 10:22:23	ga_ls8c_ard_3-0-0_100085_2016-07-06_final
2016-07-22 10:21:41	ga_ls8c_ard_3-0-0_100083_2016-07-22_final
2016-07-22 10:22:05	ga_ls8c_ard_3-0-0_100084_2016-07-22_final
2016-07-22 10:22:29	ga_ls8c_ard_3-0-0_100085_2016-07-22_final
2016-08-07 10:21:43	ga_ls8c_ard_3-0-0_100083_2016-08-07_final
2016-08-07 10:22:07	ga_ls8c_ard_3-0-0_100084_2016-08-07_final
2016-08-07 10:22:31	ga_ls8c_ard_3-0-0_100085_2016-08-07_final
2016-09-20 10:40:16	ga_ls8c_ard_3-0-0_104067_2016-09-20_final
2016-09-20 10:40:40	ga_ls8c_ard_3-0-0_104068_2016-09-20_final
2016-09-20 10:41:04	ga_ls8c_ard_3-0-0_104069_2016-09-20_final
2016-09-20 10:41:28	ga_ls8c_ard_3-0-0_104070_2016-09-20_final
2016-09-22 10:30:42	ga_ls8c_ard_3-0-0_102074_2016-09-22_final
2016-09-22 10:31:06	ga_ls8c_ard_3-0-0_102075_2016-09-22_final
2016-09-22 10:31:30	ga_ls8c_ard_3-0-0_102076_2016-09-22_final
2016-09-22 10:31:54	ga_ls8c_ard_3-0-0_102077_2016-09-22_final
2016-09-22 10:32:18	ga_ls8c_ard_3-0-0_102078_2016-09-22_final
2016-09-22 10:32:42	ga_ls8c_ard_3-0-0_102079_2016-09-22_final
2016-09-22 10:33:06	ga_ls8c_ard_3-0-0_102080_2016-09-22_final
2016-09-24 10:21:56	ga_ls8c_ard_3-0-0_100083_2016-09-24_final
2016-09-24 10:22:20	ga_ls8c_ard_3-0-0_100084_2016-09-24_final
2016-09-24 10:22:44	ga_ls8c_ard_3-0-0_100085_2016-09-24_final
2016-10-10 10:22:00	ga_ls8c_ard_3-0-0_100083_2016-10-10_final
2016-10-10 10:22:24	ga_ls8c_ard_3-0-0_100084_2016-10-10_final
2016-10-10 10:22:48	ga_ls8c_ard_3-0-0_100085_2016-10-10_final
2016-12-04 10:26:36	ga_ls8c_ard_3-0-0_101079_2016-12-04_final
2016-12-04 10:27:00	ga_ls8c_ard_3-0-0_101080_2016-12-04_final
2016-12-04 10:27:24	ga_ls8c_ard_3-0-0_101081_2016-12-04_final
2016-12-04 10:27:48	ga_ls8c_ard_3-0-0_101082_2016-12-04_final
2016-12-04 10:28:12	ga_ls8c_ard_3-0-0_101083_2016-12-04_final
2016-12-04 10:28:36	ga_ls8c_ard_3-0-0_101084_2016-12-04_final
2017-01-05 10:26:29	ga_ls8c_ard_3-0-0_101079_2017-01-05_final
2017-01-05 10:26:53	ga_ls8c_ard_3-0-0_101080_2017-01-05_final
2017-01-05 10:27:17	ga_ls8c_ard_3-0-0_101081_2017-01-05_final
2017-01-05 10:27:40	ga_ls8c_ard_3-0-0_101082_2017-01-05_final
2017-01-05 10:28:04	ga_ls8c_ard_3-0-0_101083_2017-01-05_final
2017-01-05 10:28:28	ga_ls8c_ard_3-0-0_101084_2017-01-05_final
2018-03-18 10:39:35	ga_ls8c_ard_3-0-0_104067_2018-03-18_final
2018-03-18 10:39:59	ga_ls8c_ard_3-0-0_104068_2018-03-18_final
2018-03-18 10:40:22	ga_ls8c_ard_3-0-0_104069_2018-03-18_final
2018-03-18 10:40:46	ga_ls8c_ard_3-0-0_104070_2018-03-18_final
2018-03-18 10:41:10	ga_ls8c_ard_3-0-0_104071_2018-03-18_final
2018-03-20 10:30:00	ga_ls8c_ard_3-0-0_102074_2018-03-20_final
2018-03-20 10:30:24	ga_ls8c_ard_3-0-0_102075_2018-03-20_final
2018-03-20 10:30:48	ga_ls8c_ard_3-0-0_102076_2018-03-20_final
2018-03-20 10:31:12	ga_ls8c_ard_3-0-0_102077_2018-03-20_final
2018-03-20 10:31:36	ga_ls8c_ard_3-0-0_102078_2018-03-20_final
2018-03-20 10:32:00	ga_ls8c_ard_3-0-0_102079_2018-03-20_final
2018-03-20 10:32:23	ga_ls8c_ard_3-0-0_102080_2018-03-20_final
2021-10-29 10:35:29	ga_ls8c_ard_3-2-0_103070_2021-10-29_final
2021-10-29 10:35:53	ga_ls8c_ard_3-2-0_103071_2021-10-29_final
2021-10-29 10:36:17	ga_ls8c_ard_3-2-0_103072_2021-10-29_final
2021-10-29 10:36:40	ga_ls8c_ard_3-2-0_103073_2021-10-29_final
2021-10-29 10:37:04	ga_ls8c_ard_3-2-0_103074_2021-10-29_final
2021-10-29 10:37:28	ga_ls8c_ard_3-2-0_103075_2021-10-29_final
2021-10-31 10:26:42	ga_ls8c_ard_3-2-0_101079_2021-10-31_final
2021-10-31 10:27:06	ga_ls8c_ard_3-2-0_101080_2021-10-31_final
2021-10-31 10:27:30	ga_ls8c_ard_3-2-0_101081_2021-10-31_final
2021-10-31 10:27:54	ga_ls8c_ard_3-2-0_101082_2021-10-31_final
2021-10-31 10:28:18	ga_ls8c_ard_3-2-0_101083_2021-10-31_final
2021-10-31 10:28:42	ga_ls8c_ard_3-2-0_101084_2021-10-31_final
2021-11-07 10:31:16	ga_ls8c_ard_3-2-0_102075_2021-11-07_final
2021-11-07 10:31:40	ga_ls8c_ard_3-2-0_102076_2021-11-07_final
2021-11-07 10:32:28	ga_ls8c_ard_3-2-0_102078_2021-11-07_final
2021-11-07 10:32:52	ga_ls8c_ard_3-2-0_102079_2021-11-07_final
2021-11-09 10:22:05	ga_ls8c_ard_3-2-0_100083_2021-11-09_final
2021-11-09 10:22:29	ga_ls8c_ard_3-2-0_100084_2021-11-09_final
2021-11-09 10:22:53	ga_ls8c_ard_3-2-0_100085_2021-11-09_final
2021-11-14 10:35:24	ga_ls8c_ard_3-2-0_103070_2021-11-14_final
2021-11-14 10:35:48	ga_ls8c_ard_3-2-0_103071_2021-11-14_final
2021-11-14 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-14_final
2021-11-14 10:36:36	ga_ls8c_ard_3-2-0_103073_2021-11-14_final
2021-11-14 10:37:00	ga_ls8c_ard_3-2-0_103074_2021-11-14_final
2021-11-14 10:37:24	ga_ls8c_ard_3-2-0_103075_2021-11-14_final
2021-12-02 10:26:38	ga_ls8c_ard_3-2-0_101079_2021-12-02_final
2021-12-02 10:27:02	ga_ls8c_ard_3-2-0_101080_2021-12-02_final
2021-12-02 10:27:26	ga_ls8c_ard_3-2-0_101081_2021-12-02_final
2021-12-02 10:27:50	ga_ls8c_ard_3-2-0_101082_2021-12-02_final
2021-12-02 10:28:14	ga_ls8c_ard_3-2-0_101083_2021-12-02_final
2021-12-07 10:40:47	ga_ls8c_ard_3-2-1_104068_2021-12-07_final
2021-12-07 10:41:11	ga_ls8c_ard_3-2-1_104069_2021-12-07_final
2021-12-07 10:41:35	ga_ls8c_ard_3-2-1_104070_2021-12-07_final
2021-12-23 10:40:44	ga_ls8c_ard_3-2-1_104068_2021-12-23_final
2021-12-23 10:41:08	ga_ls8c_ard_3-2-1_104069_2021-12-23_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