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
2013-03-31 11:13:37	ga_ls8c_ard_3-0-0_108082_2013-03-31_final
2013-04-03 11:26:48	ga_ls8c_ard_3-0-0_111072_2013-04-03_final
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
2013-04-10 11:11:28	ga_ls8c_ard_3-0-0_108084_2013-04-10_final
2013-05-01 11:22:05	ga_ls8c_ard_3-0-0_110075_2013-05-01_final
2013-05-01 11:22:29	ga_ls8c_ard_3-0-0_110076_2013-05-01_final
2013-05-01 11:22:53	ga_ls8c_ard_3-0-0_110077_2013-05-01_final
2013-05-01 11:23:17	ga_ls8c_ard_3-0-0_110078_2013-05-01_final
2013-05-01 11:23:41	ga_ls8c_ard_3-0-0_110079_2013-05-01_final
2013-05-01 11:24:05	ga_ls8c_ard_3-0-0_110080_2013-05-01_final
2013-05-03 11:12:56	ga_ls8c_ard_3-0-0_108083_2013-05-03_final
2013-06-09 11:26:31	ga_ls8c_ard_3-0-0_111070_2013-06-09_final
2013-06-09 11:26:55	ga_ls8c_ard_3-0-0_111071_2013-06-09_final
2013-06-09 11:27:19	ga_ls8c_ard_3-0-0_111072_2013-06-09_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
2013-06-11 11:17:44	ga_ls8c_ard_3-0-0_109079_2013-06-11_final
2013-06-11 11:18:08	ga_ls8c_ard_3-0-0_109080_2013-06-11_final
2013-06-11 11:18:31	ga_ls8c_ard_3-0-0_109081_2013-06-11_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
2013-06-25 11:26:49	ga_ls8c_ard_3-0-0_111071_2013-06-25_final
2013-06-25 11:27:13	ga_ls8c_ard_3-0-0_111072_2013-06-25_final
2013-06-27 11:17:40	ga_ls8c_ard_3-0-0_109079_2013-06-27_final
2013-06-27 11:18:04	ga_ls8c_ard_3-0-0_109080_2013-06-27_final
2013-06-27 11:18:28	ga_ls8c_ard_3-0-0_109081_2013-06-27_final
2013-06-27 11:18:52	ga_ls8c_ard_3-0-0_109082_2013-06-27_final
2013-06-27 11:19:16	ga_ls8c_ard_3-0-0_109083_2013-06-27_final
2013-06-27 11:19:40	ga_ls8c_ard_3-0-0_109084_2013-06-27_final
2013-07-04 11:21:53	ga_ls8c_ard_3-0-0_110074_2013-07-04_final
2013-07-04 11:22:17	ga_ls8c_ard_3-0-0_110075_2013-07-04_final
2013-07-04 11:22:41	ga_ls8c_ard_3-0-0_110076_2013-07-04_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
2013-07-11 11:26:53	ga_ls8c_ard_3-0-0_111071_2013-07-11_final
2013-07-11 11:27:17	ga_ls8c_ard_3-0-0_111072_2013-07-11_final
2013-07-11 11:27:40	ga_ls8c_ard_3-0-0_111073_2013-07-11_final
2013-07-11 11:28:04	ga_ls8c_ard_3-0-0_111074_2013-07-11_final
2013-07-11 11:28:28	ga_ls8c_ard_3-0-0_111075_2013-07-11_final
2013-08-28 11:26:32	ga_ls8c_ard_3-0-0_111070_2013-08-28_final
2013-08-28 11:26:56	ga_ls8c_ard_3-0-0_111071_2013-08-28_final
2013-08-28 11:27:20	ga_ls8c_ard_3-0-0_111072_2013-08-28_final
2013-08-28 11:27:44	ga_ls8c_ard_3-0-0_111073_2013-08-28_final
2013-08-28 11:28:08	ga_ls8c_ard_3-0-0_111074_2013-08-28_final
2013-08-28 11:28:32	ga_ls8c_ard_3-0-0_111075_2013-08-28_final
2013-08-30 11:17:46	ga_ls8c_ard_3-0-0_109079_2013-08-30_final
2013-08-30 11:18:10	ga_ls8c_ard_3-0-0_109080_2013-08-30_final
2013-08-30 11:18:34	ga_ls8c_ard_3-0-0_109081_2013-08-30_final
2020-10-29 11:11:28	ga_ls8c_ard_3-1-0_108083_2020-10-29_final
2020-10-29 11:11:52	ga_ls8c_ard_3-1-0_108084_2020-10-29_final
2020-10-29 11:12:15	ga_ls8c_ard_3-1-0_108085_2020-10-29_final
2020-12-21 11:24:49	ga_ls8c_ard_3-2-0_111070_2020-12-21_final
2020-12-21 11:25:13	ga_ls8c_ard_3-2-0_111071_2020-12-21_final
2020-12-21 11:25:37	ga_ls8c_ard_3-2-0_111072_2020-12-21_final
2020-12-21 11:26:01	ga_ls8c_ard_3-2-0_111073_2020-12-21_final
2020-12-21 11:26:25	ga_ls8c_ard_3-2-0_111074_2020-12-21_final
2020-12-21 11:26:49	ga_ls8c_ard_3-2-0_111075_2020-12-21_final
2021-02-07 11:24:36	ga_ls8c_ard_3-2-0_111070_2021-02-07_final
2021-02-07 11:25:00	ga_ls8c_ard_3-2-0_111071_2021-02-07_final
2021-02-07 11:25:24	ga_ls8c_ard_3-2-0_111072_2021-02-07_final
2021-02-07 11:25:48	ga_ls8c_ard_3-2-0_111073_2021-02-07_final
2021-02-07 11:26:12	ga_ls8c_ard_3-2-0_111074_2021-02-07_final
2021-02-07 11:26:36	ga_ls8c_ard_3-2-0_111075_2021-02-07_final
2021-02-09 11:15:49	ga_ls8c_ard_3-2-0_109079_2021-02-09_final
2021-02-09 11:16:13	ga_ls8c_ard_3-2-0_109080_2021-02-09_final
2021-02-09 11:16:37	ga_ls8c_ard_3-2-0_109081_2021-02-09_final
2021-02-09 11:17:01	ga_ls8c_ard_3-2-0_109082_2021-02-09_final
2021-02-09 11:17:25	ga_ls8c_ard_3-2-0_109083_2021-02-09_final
2021-02-09 11:17:49	ga_ls8c_ard_3-2-0_109084_2021-02-09_final
2021-02-14 11:29:33	ga_ls8c_ard_3-2-0_112067_2021-02-14_final
2021-02-14 11:29:57	ga_ls8c_ard_3-2-0_112068_2021-02-14_final
2021-02-14 11:30:21	ga_ls8c_ard_3-2-0_112069_2021-02-14_final
2021-02-14 11:30:45	ga_ls8c_ard_3-2-0_112070_2021-02-14_final
2021-02-16 11:19:59	ga_ls8c_ard_3-2-0_110074_2021-02-16_final
2021-02-16 11:20:23	ga_ls8c_ard_3-2-0_110075_2021-02-16_final
2021-02-16 11:20:46	ga_ls8c_ard_3-2-0_110076_2021-02-16_final
2021-02-16 11:21:10	ga_ls8c_ard_3-2-0_110077_2021-02-16_final
2021-02-16 11:21:34	ga_ls8c_ard_3-2-0_110078_2021-02-16_final
2021-02-16 11:21:58	ga_ls8c_ard_3-2-0_110079_2021-02-16_final
2021-02-16 11:22:22	ga_ls8c_ard_3-2-0_110080_2021-02-16_final
2022-07-20 11:24:46	ga_ls8c_ard_3-2-1_111070_2022-07-20_final
2022-07-20 11:25:10	ga_ls8c_ard_3-2-1_111071_2022-07-20_final
2022-07-20 11:25:34	ga_ls8c_ard_3-2-1_111072_2022-07-20_final
2022-07-20 11:25:58	ga_ls8c_ard_3-2-1_111073_2022-07-20_final
2022-07-20 11:26:22	ga_ls8c_ard_3-2-1_111074_2022-07-20_final
2022-07-20 11:26:46	ga_ls8c_ard_3-2-1_111075_2022-07-20_final
2022-07-29 11:20:18	ga_ls8c_ard_3-2-1_110074_2022-07-29_final
2022-07-29 11:20:42	ga_ls8c_ard_3-2-1_110075_2022-07-29_final
2022-07-29 11:21:06	ga_ls8c_ard_3-2-1_110076_2022-07-29_final
2022-07-29 11:21:30	ga_ls8c_ard_3-2-1_110077_2022-07-29_final
2022-07-29 11:21:54	ga_ls8c_ard_3-2-1_110078_2022-07-29_final
2022-07-29 11:22:18	ga_ls8c_ard_3-2-1_110079_2022-07-29_final
2022-07-29 11:22:42	ga_ls8c_ard_3-2-1_110080_2022-07-29_final
2022-07-31 11:11:09	ga_ls8c_ard_3-2-1_108082_2022-07-31_final
2022-07-31 11:11:33	ga_ls8c_ard_3-2-1_108083_2022-07-31_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