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
2013-04-03 11:27:12	ga_ls8c_ard_3-0-0_111073_2013-04-03_final
2013-04-03 11:27:36	ga_ls8c_ard_3-0-0_111074_2013-04-03_final
2013-04-03 11:27:59	ga_ls8c_ard_3-0-0_111075_2013-04-03_final
2013-04-03 11:28:23	ga_ls8c_ard_3-0-0_111076_2013-04-03_final
2013-04-03 11:28:47	ga_ls8c_ard_3-0-0_111077_2013-04-03_final
2013-04-03 11:29:11	ga_ls8c_ard_3-0-0_111078_2013-04-03_final
2013-04-22 11:27:28	ga_ls8c_ard_3-0-0_111073_2013-04-22_final
2013-04-22 11:27:52	ga_ls8c_ard_3-0-0_111074_2013-04-22_final
2013-04-22 11:28:16	ga_ls8c_ard_3-0-0_111075_2013-04-22_final
2013-04-24 11:18:41	ga_ls8c_ard_3-0-0_109082_2013-04-24_final
2013-04-24 11:19:05	ga_ls8c_ard_3-0-0_109083_2013-04-24_final
2013-04-24 11:19:29	ga_ls8c_ard_3-0-0_109084_2013-04-24_final
2013-06-09 11:27:42	ga_ls8c_ard_3-0-0_111073_2013-06-09_final
2013-06-09 11:28:06	ga_ls8c_ard_3-0-0_111074_2013-06-09_final
2013-06-09 11:28:30	ga_ls8c_ard_3-0-0_111075_2013-06-09_final
2013-06-09 11:28:54	ga_ls8c_ard_3-0-0_111076_2013-06-09_final
2013-06-09 11:29:18	ga_ls8c_ard_3-0-0_111077_2013-06-09_final
2013-06-09 11:29:42	ga_ls8c_ard_3-0-0_111078_2013-06-09_final
2013-06-11 11:18:55	ga_ls8c_ard_3-0-0_109082_2013-06-11_final
2013-06-11 11:19:19	ga_ls8c_ard_3-0-0_109083_2013-06-11_final
2013-07-04 11:23:05	ga_ls8c_ard_3-0-0_110077_2013-07-04_final
2013-07-04 11:23:29	ga_ls8c_ard_3-0-0_110078_2013-07-04_final
2013-07-04 11:23:53	ga_ls8c_ard_3-0-0_110079_2013-07-04_final
2013-07-04 11:24:17	ga_ls8c_ard_3-0-0_110080_2013-07-04_final
2013-07-04 11:24:41	ga_ls8c_ard_3-0-0_110081_2013-07-04_final
2013-07-04 11:25:05	ga_ls8c_ard_3-0-0_110082_2013-07-04_final
2013-07-04 11:25:29	ga_ls8c_ard_3-0-0_110083_2013-07-04_final
2017-11-02 11:30:10	ga_ls8c_ard_3-0-0_112068_2017-11-02_final
2017-11-02 11:30:34	ga_ls8c_ard_3-0-0_112069_2017-11-02_final
2017-11-02 11:30:58	ga_ls8c_ard_3-0-0_112070_2017-11-02_final
2017-11-02 11:31:22	ga_ls8c_ard_3-0-0_112071_2017-11-02_final
2017-11-02 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-11-02_final
2017-11-02 11:32:10	ga_ls8c_ard_3-0-0_112073_2017-11-02_final
2017-11-02 11:32:34	ga_ls8c_ard_3-0-0_112074_2017-11-02_final
2017-11-04 11:21:24	ga_ls8c_ard_3-0-0_110077_2017-11-04_final
2017-11-04 11:21:48	ga_ls8c_ard_3-0-0_110078_2017-11-04_final
2017-11-04 11:22:11	ga_ls8c_ard_3-0-0_110079_2017-11-04_final
2017-11-04 11:22:35	ga_ls8c_ard_3-0-0_110080_2017-11-04_final
2017-11-04 11:22:59	ga_ls8c_ard_3-0-0_110081_2017-11-04_final
2017-11-04 11:23:23	ga_ls8c_ard_3-0-0_110082_2017-11-04_final
2017-11-04 11:23:47	ga_ls8c_ard_3-0-0_110083_2017-11-04_final
2017-11-11 11:25:57	ga_ls8c_ard_3-0-0_111073_2017-11-11_final
2017-11-11 11:26:21	ga_ls8c_ard_3-0-0_111074_2017-11-11_final
2017-11-11 11:26:45	ga_ls8c_ard_3-0-0_111075_2017-11-11_final
2017-11-11 11:27:09	ga_ls8c_ard_3-0-0_111076_2017-11-11_final
2017-11-11 11:27:33	ga_ls8c_ard_3-0-0_111077_2017-11-11_final
2017-11-11 11:27:57	ga_ls8c_ard_3-0-0_111078_2017-11-11_final
2017-11-11 11:28:21	ga_ls8c_ard_3-0-0_111079_2017-11-11_final
2017-11-13 11:17:10	ga_ls8c_ard_3-0-0_109082_2017-11-13_final
2017-11-13 11:17:34	ga_ls8c_ard_3-0-0_109083_2017-11-13_final
2017-11-13 11:17:58	ga_ls8c_ard_3-0-0_109084_2017-11-13_final
2017-11-13 11:18:22	ga_ls8c_ard_3-0-0_109085_2017-11-13_final
2017-11-22 11:12:08	ga_ls8c_ard_3-0-0_108085_2017-11-22_final
2017-11-25 11:35:50	ga_ls8c_ard_3-0-0_113067_2017-11-25_final
2017-12-15 11:17:05	ga_ls8c_ard_3-0-0_109082_2017-12-15_final
2017-12-15 11:17:29	ga_ls8c_ard_3-0-0_109083_2017-12-15_final
2017-12-15 11:17:53	ga_ls8c_ard_3-0-0_109084_2017-12-15_final
2017-12-15 11:18:17	ga_ls8c_ard_3-0-0_109085_2017-12-15_final
2021-10-16 11:12:21	ga_ls8c_ard_3-2-0_108085_2021-10-16_final
2021-10-19 11:36:05	ga_ls8c_ard_3-2-0_113067_2021-10-19_final
2021-10-21 11:26:07	ga_ls8c_ard_3-2-0_111073_2021-10-21_final
2021-10-21 11:26:31	ga_ls8c_ard_3-2-0_111074_2021-10-21_final
2021-10-21 11:26:55	ga_ls8c_ard_3-2-0_111075_2021-10-21_final
2021-10-21 11:27:19	ga_ls8c_ard_3-2-0_111076_2021-10-21_final
2021-10-21 11:27:43	ga_ls8c_ard_3-2-0_111077_2021-10-21_final
2021-10-21 11:28:07	ga_ls8c_ard_3-2-0_111078_2021-10-21_final
2021-10-21 11:28:31	ga_ls8c_ard_3-2-0_111079_2021-10-21_final
2021-10-23 11:16:57	ga_ls8c_ard_3-2-0_109081_2021-10-23_final
2021-10-23 11:17:21	ga_ls8c_ard_3-2-0_109082_2021-10-23_final
2021-10-23 11:17:45	ga_ls8c_ard_3-2-0_109083_2021-10-23_final
2021-10-23 11:18:09	ga_ls8c_ard_3-2-0_109084_2021-10-23_final
2021-10-23 11:18:33	ga_ls8c_ard_3-2-0_109085_2021-10-23_final
2021-10-30 11:21:32	ga_ls8c_ard_3-2-0_110077_2021-10-30_final
2021-10-30 11:21:56	ga_ls8c_ard_3-2-0_110078_2021-10-30_final
2021-10-30 11:22:20	ga_ls8c_ard_3-2-0_110079_2021-10-30_final
2021-10-30 11:22:44	ga_ls8c_ard_3-2-0_110080_2021-10-30_final
2021-10-30 11:23:08	ga_ls8c_ard_3-2-0_110081_2021-10-30_final
2021-10-30 11:23:32	ga_ls8c_ard_3-2-0_110082_2021-10-30_final
2021-10-30 11:23:56	ga_ls8c_ard_3-2-0_110083_2021-10-30_final
2021-11-04 11:36:04	ga_ls8c_ard_3-2-0_113067_2021-11-04_final
2021-11-06 11:26:06	ga_ls8c_ard_3-2-0_111073_2021-11-06_final
2021-11-06 11:26:30	ga_ls8c_ard_3-2-0_111074_2021-11-06_final
2021-11-06 11:26:53	ga_ls8c_ard_3-2-0_111075_2021-11-06_final
2021-11-06 11:27:17	ga_ls8c_ard_3-2-0_111076_2021-11-06_final
2021-11-06 11:27:41	ga_ls8c_ard_3-2-0_111077_2021-11-06_final
2021-11-06 11:28:05	ga_ls8c_ard_3-2-0_111078_2021-11-06_final
2021-11-06 11:28:29	ga_ls8c_ard_3-2-0_111079_2021-11-06_final
2021-11-08 11:17:19	ga_ls8c_ard_3-2-0_109082_2021-11-08_final
2021-11-08 11:17:43	ga_ls8c_ard_3-2-0_109083_2021-11-08_final
2021-11-08 11:18:07	ga_ls8c_ard_3-2-0_109084_2021-11-08_final
2021-11-08 11:18:31	ga_ls8c_ard_3-2-0_109085_2021-11-08_final
2022-05-19 11:16:28	ga_ls8c_ard_3-2-1_109081_2022-05-19_final
2022-05-19 11:16:52	ga_ls8c_ard_3-2-1_109082_2022-05-19_final
2022-05-19 11:17:16	ga_ls8c_ard_3-2-1_109083_2022-05-19_final
2022-05-19 11:17:40	ga_ls8c_ard_3-2-1_109084_2022-05-19_final
2022-05-24 11:31:24	ga_ls8c_ard_3-2-1_112072_2022-05-24_final
2022-05-24 11:31:48	ga_ls8c_ard_3-2-1_112073_2022-05-24_final
2022-05-24 11:32:12	ga_ls8c_ard_3-2-1_112074_2022-05-24_final
2023-03-03 11:16:58	ga_ls8c_ard_3-2-1_109082_2023-03-03_final
2023-03-03 11:17:22	ga_ls8c_ard_3-2-1_109083_2023-03-03_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