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
2018-03-26 11:28:58	ga_ls8c_ard_3-0-0_112067_2018-03-26_final
2018-03-26 11:29:22	ga_ls8c_ard_3-0-0_112068_2018-03-26_final
2018-03-26 11:29:46	ga_ls8c_ard_3-0-0_112069_2018-03-26_final
2018-03-26 11:30:10	ga_ls8c_ard_3-0-0_112070_2018-03-26_final
2018-03-26 11:30:34	ga_ls8c_ard_3-0-0_112071_2018-03-26_final
2018-03-26 11:30:58	ga_ls8c_ard_3-0-0_112072_2018-03-26_final
2018-03-26 11:31:22	ga_ls8c_ard_3-0-0_112073_2018-03-26_final
2018-04-11 11:28:50	ga_ls8c_ard_3-0-0_112067_2018-04-11_final
2018-04-11 11:29:14	ga_ls8c_ard_3-0-0_112068_2018-04-11_final
2018-04-11 11:29:38	ga_ls8c_ard_3-0-0_112069_2018-04-11_final
2018-04-11 11:30:02	ga_ls8c_ard_3-0-0_112070_2018-04-11_final
2018-04-11 11:30:26	ga_ls8c_ard_3-0-0_112071_2018-04-11_final
2018-04-11 11:30:49	ga_ls8c_ard_3-0-0_112072_2018-04-11_final
2018-04-11 11:31:13	ga_ls8c_ard_3-0-0_112073_2018-04-11_final
2018-06-14 11:28:21	ga_ls8c_ard_3-0-0_112067_2018-06-14_final
2018-06-14 11:28:45	ga_ls8c_ard_3-0-0_112068_2018-06-14_final
2018-06-14 11:29:09	ga_ls8c_ard_3-0-0_112069_2018-06-14_final
2018-06-14 11:29:33	ga_ls8c_ard_3-0-0_112070_2018-06-14_final
2018-06-14 11:29:57	ga_ls8c_ard_3-0-0_112071_2018-06-14_final
2018-06-14 11:30:21	ga_ls8c_ard_3-0-0_112072_2018-06-14_final
2018-06-14 11:30:45	ga_ls8c_ard_3-0-0_112073_2018-06-14_final
2018-07-16 11:28:39	ga_ls8c_ard_3-0-0_112067_2018-07-16_final
2018-07-16 11:29:03	ga_ls8c_ard_3-0-0_112068_2018-07-16_final
2018-07-16 11:29:27	ga_ls8c_ard_3-0-0_112069_2018-07-16_final
2018-07-16 11:29:51	ga_ls8c_ard_3-0-0_112070_2018-07-16_final
2018-07-16 11:30:15	ga_ls8c_ard_3-0-0_112071_2018-07-16_final
2018-07-16 11:30:39	ga_ls8c_ard_3-0-0_112072_2018-07-16_final
2018-07-16 11:31:02	ga_ls8c_ard_3-0-0_112073_2018-07-16_final
2019-02-20 11:16:15	ga_ls8c_ard_3-0-0_109081_2019-02-20_final
2019-02-20 11:16:38	ga_ls8c_ard_3-0-0_109082_2019-02-20_final
2019-02-20 11:17:02	ga_ls8c_ard_3-0-0_109083_2019-02-20_final
2019-02-20 11:17:26	ga_ls8c_ard_3-0-0_109084_2019-02-20_final
2019-02-20 11:17:50	ga_ls8c_ard_3-0-0_109085_2019-02-20_final
2019-03-17 11:11:07	ga_ls8c_ard_3-1-0_108084_2019-03-17_final
2019-03-17 11:11:31	ga_ls8c_ard_3-1-0_108085_2019-03-17_final
2019-03-24 11:16:05	ga_ls8c_ard_3-1-0_109081_2019-03-24_final
2019-03-24 11:16:29	ga_ls8c_ard_3-1-0_109082_2019-03-24_final
2019-03-24 11:16:53	ga_ls8c_ard_3-1-0_109083_2019-03-24_final
2019-03-24 11:17:17	ga_ls8c_ard_3-1-0_109084_2019-03-24_final
2019-03-24 11:17:41	ga_ls8c_ard_3-1-0_109085_2019-03-24_final
2019-03-29 11:29:02	ga_ls8c_ard_3-1-0_112067_2019-03-29_final
2019-03-29 11:29:26	ga_ls8c_ard_3-1-0_112068_2019-03-29_final
2019-03-29 11:29:49	ga_ls8c_ard_3-1-0_112069_2019-03-29_final
2019-03-29 11:30:13	ga_ls8c_ard_3-1-0_112070_2019-03-29_final
2019-03-29 11:30:37	ga_ls8c_ard_3-1-0_112071_2019-03-29_final
2019-03-29 11:31:01	ga_ls8c_ard_3-1-0_112072_2019-03-29_final
2019-03-29 11:31:25	ga_ls8c_ard_3-1-0_112073_2019-03-29_final
2019-05-16 11:29:03	ga_ls8c_ard_3-0-0_112067_2019-05-16_final
2019-05-16 11:29:27	ga_ls8c_ard_3-0-0_112068_2019-05-16_final
2019-05-16 11:29:51	ga_ls8c_ard_3-0-0_112069_2019-05-16_final
2019-05-16 11:30:15	ga_ls8c_ard_3-0-0_112070_2019-05-16_final
2019-05-16 11:30:39	ga_ls8c_ard_3-0-0_112071_2019-05-16_final
2019-05-16 11:31:03	ga_ls8c_ard_3-0-0_112072_2019-05-16_final
2019-05-16 11:31:27	ga_ls8c_ard_3-0-0_112073_2019-05-16_final
2019-06-28 11:16:01	ga_ls8c_ard_3-1-0_109080_2019-06-28_final
2019-06-28 11:16:24	ga_ls8c_ard_3-1-0_109081_2019-06-28_final
2019-06-28 11:16:48	ga_ls8c_ard_3-1-0_109082_2019-06-28_final
2019-06-28 11:17:12	ga_ls8c_ard_3-1-0_109083_2019-06-28_final
2019-06-28 11:17:36	ga_ls8c_ard_3-1-0_109084_2019-06-28_final
2019-06-28 11:18:00	ga_ls8c_ard_3-1-0_109085_2019-06-28_final
2019-07-14 11:16:28	ga_ls8c_ard_3-1-0_109081_2019-07-14_final
2019-07-14 11:16:52	ga_ls8c_ard_3-1-0_109082_2019-07-14_final
2019-07-14 11:17:15	ga_ls8c_ard_3-1-0_109083_2019-07-14_final
2019-07-14 11:17:39	ga_ls8c_ard_3-1-0_109084_2019-07-14_final
2019-07-14 11:18:03	ga_ls8c_ard_3-1-0_109085_2019-07-14_final
2019-10-02 11:16:29	ga_ls8c_ard_3-1-0_109080_2019-10-02_final
2019-10-02 11:16:53	ga_ls8c_ard_3-1-0_109081_2019-10-02_final
2019-10-02 11:17:16	ga_ls8c_ard_3-1-0_109082_2019-10-02_final
2019-10-02 11:17:40	ga_ls8c_ard_3-1-0_109083_2019-10-02_final
2019-10-02 11:18:04	ga_ls8c_ard_3-1-0_109084_2019-10-02_final
2019-10-02 11:18:28	ga_ls8c_ard_3-1-0_109085_2019-10-02_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
2021-02-09 11:18:13	ga_ls8c_ard_3-2-0_109085_2021-02-09_final
2021-03-20 11:20:31	ga_ls8c_ard_3-2-0_110076_2021-03-20_final
2021-03-20 11:20:55	ga_ls8c_ard_3-2-0_110077_2021-03-20_final
2021-03-20 11:21:19	ga_ls8c_ard_3-2-0_110078_2021-03-20_final
2021-03-20 11:21:43	ga_ls8c_ard_3-2-0_110079_2021-03-20_final
2021-03-20 11:22:07	ga_ls8c_ard_3-2-0_110080_2021-03-20_final
2021-03-20 11:22:31	ga_ls8c_ard_3-2-0_110081_2021-03-20_final
2021-03-20 11:22:55	ga_ls8c_ard_3-2-0_110082_2021-03-20_final
2021-03-22 11:11:21	ga_ls8c_ard_3-2-0_108084_2021-03-22_final
2021-03-22 11:11:45	ga_ls8c_ard_3-2-0_108085_2021-03-22_final
2021-05-21 11:29:07	ga_ls8c_ard_3-2-0_112067_2021-05-21_final
2021-05-21 11:29:31	ga_ls8c_ard_3-2-0_112068_2021-05-21_final
2021-05-21 11:29:55	ga_ls8c_ard_3-2-0_112069_2021-05-21_final
2021-05-21 11:30:19	ga_ls8c_ard_3-2-0_112070_2021-05-21_final
2021-05-21 11:30:43	ga_ls8c_ard_3-2-0_112071_2021-05-21_final
2021-05-21 11:31:07	ga_ls8c_ard_3-2-0_112072_2021-05-21_final
2021-05-21 11:31:31	ga_ls8c_ard_3-2-0_112073_2021-05-21_final
2021-05-28 11:35:22	ga_ls8c_ard_3-2-0_113067_2021-05-28_final
2021-05-30 11:25:01	ga_ls8c_ard_3-2-0_111072_2021-05-30_final
2021-05-30 11:25:25	ga_ls8c_ard_3-2-0_111073_2021-05-30_final
2021-05-30 11:25:49	ga_ls8c_ard_3-2-0_111074_2021-05-30_final
2021-05-30 11:26:13	ga_ls8c_ard_3-2-0_111075_2021-05-30_final
2021-05-30 11:26:37	ga_ls8c_ard_3-2-0_111076_2021-05-30_final
2021-05-30 11:27:01	ga_ls8c_ard_3-2-0_111077_2021-05-30_final
2021-06-06 11:31:15	ga_ls8c_ard_3-2-0_112072_2021-06-06_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