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
2013-09-22 11:23:01	ga_ls8c_ard_3-0-0_110077_2013-09-22_final
2013-09-22 11:23:25	ga_ls8c_ard_3-0-0_110078_2013-09-22_final
2013-09-22 11:23:49	ga_ls8c_ard_3-0-0_110079_2013-09-22_final
2013-09-22 11:24:13	ga_ls8c_ard_3-0-0_110080_2013-09-22_final
2013-09-22 11:24:37	ga_ls8c_ard_3-0-0_110081_2013-09-22_final
2013-09-22 11:25:01	ga_ls8c_ard_3-0-0_110082_2013-09-22_final
2013-09-27 11:37:31	ga_ls8c_ard_3-0-0_113067_2013-09-27_final
2013-09-29 11:27:09	ga_ls8c_ard_3-0-0_111072_2013-09-29_final
2013-09-29 11:27:33	ga_ls8c_ard_3-0-0_111073_2013-09-29_final
2013-09-29 11:27:57	ga_ls8c_ard_3-0-0_111074_2013-09-29_final
2013-09-29 11:28:21	ga_ls8c_ard_3-0-0_111075_2013-09-29_final
2013-09-29 11:28:45	ga_ls8c_ard_3-0-0_111076_2013-09-29_final
2013-09-29 11:29:09	ga_ls8c_ard_3-0-0_111077_2013-09-29_final
2013-09-29 11:29:33	ga_ls8c_ard_3-0-0_111078_2013-09-29_final
2013-10-06 11:31:22	ga_ls8c_ard_3-0-0_112067_2013-10-06_final
2013-10-06 11:33:45	ga_ls8c_ard_3-0-0_112073_2013-10-06_final
2013-10-08 11:22:59	ga_ls8c_ard_3-0-0_110077_2013-10-08_final
2013-10-08 11:23:23	ga_ls8c_ard_3-0-0_110078_2013-10-08_final
2013-10-08 11:23:47	ga_ls8c_ard_3-0-0_110079_2013-10-08_final
2013-10-08 11:24:11	ga_ls8c_ard_3-0-0_110080_2013-10-08_final
2013-10-08 11:24:35	ga_ls8c_ard_3-0-0_110081_2013-10-08_final
2013-10-08 11:24:59	ga_ls8c_ard_3-0-0_110082_2013-10-08_final
2013-10-15 11:27:09	ga_ls8c_ard_3-0-0_111072_2013-10-15_final
2013-10-15 11:27:33	ga_ls8c_ard_3-0-0_111073_2013-10-15_final
2013-10-15 11:27:57	ga_ls8c_ard_3-0-0_111074_2013-10-15_final
2013-10-15 11:28:21	ga_ls8c_ard_3-0-0_111075_2013-10-15_final
2013-10-15 11:28:45	ga_ls8c_ard_3-0-0_111076_2013-10-15_final
2013-10-15 11:29:09	ga_ls8c_ard_3-0-0_111077_2013-10-15_final
2013-10-17 11:18:22	ga_ls8c_ard_3-0-0_109081_2013-10-17_final
2013-10-17 11:18:46	ga_ls8c_ard_3-0-0_109082_2013-10-17_final
2013-10-17 11:19:10	ga_ls8c_ard_3-0-0_109083_2013-10-17_final
2013-10-17 11:19:34	ga_ls8c_ard_3-0-0_109084_2013-10-17_final
2013-10-22 11:31:16	ga_ls8c_ard_3-0-0_112067_2013-10-22_final
2013-10-22 11:33:40	ga_ls8c_ard_3-0-0_112073_2013-10-22_final
2013-10-24 11:22:53	ga_ls8c_ard_3-0-0_110077_2013-10-24_final
2013-10-24 11:23:16	ga_ls8c_ard_3-0-0_110078_2013-10-24_final
2013-10-24 11:23:40	ga_ls8c_ard_3-0-0_110079_2013-10-24_final
2013-10-24 11:24:04	ga_ls8c_ard_3-0-0_110080_2013-10-24_final
2013-10-24 11:24:28	ga_ls8c_ard_3-0-0_110081_2013-10-24_final
2013-10-24 11:24:52	ga_ls8c_ard_3-0-0_110082_2013-10-24_final
2013-10-31 11:27:01	ga_ls8c_ard_3-0-0_111072_2013-10-31_final
2013-10-31 11:27:25	ga_ls8c_ard_3-0-0_111073_2013-10-31_final
2013-10-31 11:27:49	ga_ls8c_ard_3-0-0_111074_2013-10-31_final
2013-10-31 11:28:13	ga_ls8c_ard_3-0-0_111075_2013-10-31_final
2013-10-31 11:28:37	ga_ls8c_ard_3-0-0_111076_2013-10-31_final
2013-10-31 11:29:00	ga_ls8c_ard_3-0-0_111077_2013-10-31_final
2013-10-31 11:29:24	ga_ls8c_ard_3-0-0_111078_2013-10-31_final
2013-11-02 11:18:15	ga_ls8c_ard_3-0-0_109081_2013-11-02_final
2013-11-02 11:18:39	ga_ls8c_ard_3-0-0_109082_2013-11-02_final
2013-11-02 11:19:03	ga_ls8c_ard_3-0-0_109083_2013-11-02_final
2013-11-02 11:19:27	ga_ls8c_ard_3-0-0_109084_2013-11-02_final
2013-11-14 11:37:22	ga_ls8c_ard_3-0-0_113067_2013-11-14_final
2013-11-16 11:26:59	ga_ls8c_ard_3-0-0_111072_2013-11-16_final
2013-11-30 11:37:16	ga_ls8c_ard_3-0-0_113067_2013-11-30_final
2013-12-02 11:26:55	ga_ls8c_ard_3-0-0_111072_2013-12-02_final
2013-12-02 11:27:19	ga_ls8c_ard_3-0-0_111073_2013-12-02_final
2013-12-02 11:27:43	ga_ls8c_ard_3-0-0_111074_2013-12-02_final
2013-12-02 11:28:06	ga_ls8c_ard_3-0-0_111075_2013-12-02_final
2013-12-02 11:28:30	ga_ls8c_ard_3-0-0_111076_2013-12-02_final
2013-12-02 11:28:54	ga_ls8c_ard_3-0-0_111077_2013-12-02_final
2013-12-02 11:29:18	ga_ls8c_ard_3-0-0_111078_2013-12-02_final
2021-03-06 11:11:53	ga_ls8c_ard_3-2-0_108085_2021-03-06_final
2021-03-09 11:35:34	ga_ls8c_ard_3-2-0_113067_2021-03-09_final
2021-03-11 11:25:11	ga_ls8c_ard_3-2-0_111072_2021-03-11_final
2021-03-11 11:25:35	ga_ls8c_ard_3-2-0_111073_2021-03-11_final
2021-03-11 11:25:59	ga_ls8c_ard_3-2-0_111074_2021-03-11_final
2021-03-11 11:26:23	ga_ls8c_ard_3-2-0_111075_2021-03-11_final
2021-03-11 11:26:47	ga_ls8c_ard_3-2-0_111076_2021-03-11_final
2021-03-11 11:27:11	ga_ls8c_ard_3-2-0_111077_2021-03-11_final
2021-03-11 11:27:34	ga_ls8c_ard_3-2-0_111078_2021-03-11_final
2021-03-13 11:16:23	ga_ls8c_ard_3-2-0_109081_2021-03-13_final
2021-03-13 11:16:47	ga_ls8c_ard_3-2-0_109082_2021-03-13_final
2021-03-13 11:17:11	ga_ls8c_ard_3-2-0_109083_2021-03-13_final
2021-03-13 11:17:35	ga_ls8c_ard_3-2-0_109084_2021-03-13_final
2021-03-13 11:17:59	ga_ls8c_ard_3-2-0_109085_2021-03-13_final
2021-03-18 11:29:42	ga_ls8c_ard_3-2-0_112068_2021-03-18_final
2021-03-18 11:30:05	ga_ls8c_ard_3-2-0_112069_2021-03-18_final
2021-03-18 11:30:29	ga_ls8c_ard_3-2-0_112070_2021-03-18_final
2021-03-18 11:30:53	ga_ls8c_ard_3-2-0_112071_2021-03-18_final
2021-03-18 11:31:17	ga_ls8c_ard_3-2-0_112072_2021-03-18_final
2021-03-18 11:31:41	ga_ls8c_ard_3-2-0_112073_2021-03-18_final
2021-04-26 11:35:15	ga_ls8c_ard_3-2-0_113067_2021-04-26_final
2021-04-28 11:24:52	ga_ls8c_ard_3-2-0_111072_2021-04-28_final
2021-04-28 11:25:16	ga_ls8c_ard_3-2-0_111073_2021-04-28_final
2021-04-28 11:25:40	ga_ls8c_ard_3-2-0_111074_2021-04-28_final
2021-04-28 11:26:04	ga_ls8c_ard_3-2-0_111075_2021-04-28_final
2021-04-28 11:26:28	ga_ls8c_ard_3-2-0_111076_2021-04-28_final
2021-04-28 11:26:51	ga_ls8c_ard_3-2-0_111077_2021-04-28_final
2021-04-28 11:27:15	ga_ls8c_ard_3-2-0_111078_2021-04-28_final
2021-04-30 11:16:04	ga_ls8c_ard_3-2-0_109081_2021-04-30_final
2021-04-30 11:16:28	ga_ls8c_ard_3-2-0_109082_2021-04-30_final
2021-04-30 11:16:52	ga_ls8c_ard_3-2-0_109083_2021-04-30_final
2021-04-30 11:17:16	ga_ls8c_ard_3-2-0_109084_2021-04-30_final
2021-04-30 11:17:40	ga_ls8c_ard_3-2-0_109085_2021-04-30_final
2022-12-27 11:25:41	ga_ls8c_ard_3-2-1_111072_2022-12-27_final
2022-12-27 11:26:05	ga_ls8c_ard_3-2-1_111073_2022-12-27_final
2022-12-27 11:26:29	ga_ls8c_ard_3-2-1_111074_2022-12-27_final
2022-12-27 11:26:53	ga_ls8c_ard_3-2-1_111075_2022-12-27_final
2022-12-27 11:27:17	ga_ls8c_ard_3-2-1_111076_2022-12-27_final
2022-12-27 11:27:41	ga_ls8c_ard_3-2-1_111077_2022-12-27_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