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
2014-07-14 11:24:21	ga_ls8c_ard_3-0-0_111070_2014-07-14_final
2014-07-14 11:24:45	ga_ls8c_ard_3-0-0_111071_2014-07-14_final
2014-07-14 11:25:09	ga_ls8c_ard_3-0-0_111072_2014-07-14_final
2014-07-14 11:25:33	ga_ls8c_ard_3-0-0_111073_2014-07-14_final
2014-07-14 11:25:57	ga_ls8c_ard_3-0-0_111074_2014-07-14_final
2014-07-14 11:26:21	ga_ls8c_ard_3-0-0_111075_2014-07-14_final
2014-07-16 11:15:35	ga_ls8c_ard_3-0-0_109079_2014-07-16_final
2014-07-16 11:15:59	ga_ls8c_ard_3-0-0_109080_2014-07-16_final
2014-07-16 11:16:23	ga_ls8c_ard_3-0-0_109081_2014-07-16_final
2014-07-16 11:16:47	ga_ls8c_ard_3-0-0_109082_2014-07-16_final
2014-07-16 11:17:11	ga_ls8c_ard_3-0-0_109083_2014-07-16_final
2014-07-16 11:17:35	ga_ls8c_ard_3-0-0_109084_2014-07-16_final
2014-08-06 11:29:29	ga_ls8c_ard_3-0-0_112067_2014-08-06_final
2014-08-06 11:29:53	ga_ls8c_ard_3-0-0_112068_2014-08-06_final
2014-08-06 11:30:17	ga_ls8c_ard_3-0-0_112069_2014-08-06_final
2014-08-06 11:30:41	ga_ls8c_ard_3-0-0_112070_2014-08-06_final
2014-08-22 11:29:33	ga_ls8c_ard_3-0-0_112067_2014-08-22_final
2014-08-22 11:29:57	ga_ls8c_ard_3-0-0_112068_2014-08-22_final
2014-08-22 11:30:21	ga_ls8c_ard_3-0-0_112069_2014-08-22_final
2014-08-22 11:30:45	ga_ls8c_ard_3-0-0_112070_2014-08-22_final
2014-09-23 11:29:34	ga_ls8c_ard_3-0-0_112067_2014-09-23_final
2014-09-23 11:29:58	ga_ls8c_ard_3-0-0_112068_2014-09-23_final
2014-09-23 11:30:22	ga_ls8c_ard_3-0-0_112069_2014-09-23_final
2014-09-23 11:30:46	ga_ls8c_ard_3-0-0_112070_2014-09-23_final
2014-09-25 11:19:59	ga_ls8c_ard_3-0-0_110074_2014-09-25_final
2014-09-25 11:20:23	ga_ls8c_ard_3-0-0_110075_2014-09-25_final
2014-09-25 11:20:47	ga_ls8c_ard_3-0-0_110076_2014-09-25_final
2014-09-25 11:21:11	ga_ls8c_ard_3-0-0_110077_2014-09-25_final
2014-09-25 11:21:34	ga_ls8c_ard_3-0-0_110078_2014-09-25_final
2014-09-25 11:21:58	ga_ls8c_ard_3-0-0_110079_2014-09-25_final
2014-09-25 11:22:22	ga_ls8c_ard_3-0-0_110080_2014-09-25_final
2014-11-12 11:20:08	ga_ls8c_ard_3-0-0_110074_2014-11-12_final
2014-11-12 11:20:32	ga_ls8c_ard_3-0-0_110075_2014-11-12_final
2014-11-12 11:20:56	ga_ls8c_ard_3-0-0_110076_2014-11-12_final
2014-11-12 11:21:20	ga_ls8c_ard_3-0-0_110077_2014-11-12_final
2014-11-12 11:21:44	ga_ls8c_ard_3-0-0_110078_2014-11-12_final
2014-11-12 11:22:08	ga_ls8c_ard_3-0-0_110079_2014-11-12_final
2014-11-12 11:22:32	ga_ls8c_ard_3-0-0_110080_2014-11-12_final
2014-11-14 11:10:58	ga_ls8c_ard_3-0-0_108082_2014-11-14_final
2014-11-14 11:11:22	ga_ls8c_ard_3-0-0_108083_2014-11-14_final
2014-11-14 11:11:45	ga_ls8c_ard_3-0-0_108084_2014-11-14_final
2018-09-11 11:24:06	ga_ls8c_ard_3-0-0_111070_2018-09-11_final
2018-09-11 11:24:30	ga_ls8c_ard_3-0-0_111071_2018-09-11_final
2018-09-11 11:24:54	ga_ls8c_ard_3-0-0_111072_2018-09-11_final
2018-09-11 11:25:17	ga_ls8c_ard_3-0-0_111073_2018-09-11_final
2018-09-11 11:25:41	ga_ls8c_ard_3-0-0_111074_2018-09-11_final
2018-09-11 11:26:05	ga_ls8c_ard_3-0-0_111075_2018-09-11_final
2018-09-13 11:15:20	ga_ls8c_ard_3-0-0_109079_2018-09-13_final
2018-09-13 11:15:44	ga_ls8c_ard_3-0-0_109080_2018-09-13_final
2018-09-13 11:16:08	ga_ls8c_ard_3-0-0_109081_2018-09-13_final
2018-09-13 11:16:32	ga_ls8c_ard_3-0-0_109082_2018-09-13_final
2018-09-13 11:16:56	ga_ls8c_ard_3-0-0_109083_2018-09-13_final
2018-09-13 11:17:20	ga_ls8c_ard_3-0-0_109084_2018-09-13_final
2018-10-13 11:24:19	ga_ls8c_ard_3-0-0_111070_2018-10-13_final
2018-10-13 11:24:43	ga_ls8c_ard_3-0-0_111071_2018-10-13_final
2018-10-13 11:25:07	ga_ls8c_ard_3-0-0_111072_2018-10-13_final
2018-10-13 11:25:31	ga_ls8c_ard_3-0-0_111073_2018-10-13_final
2018-10-13 11:25:55	ga_ls8c_ard_3-0-0_111074_2018-10-13_final
2018-10-13 11:26:19	ga_ls8c_ard_3-0-0_111075_2018-10-13_final
2018-10-15 11:15:10	ga_ls8c_ard_3-0-0_109078_2018-10-15_final
2018-10-15 11:15:33	ga_ls8c_ard_3-0-0_109079_2018-10-15_final
2018-10-15 11:15:57	ga_ls8c_ard_3-0-0_109080_2018-10-15_final
2018-10-15 11:16:21	ga_ls8c_ard_3-0-0_109081_2018-10-15_final
2018-10-15 11:16:45	ga_ls8c_ard_3-0-0_109082_2018-10-15_final
2018-10-15 11:17:09	ga_ls8c_ard_3-0-0_109083_2018-10-15_final
2018-10-15 11:17:33	ga_ls8c_ard_3-0-0_109084_2018-10-15_final
2018-11-14 11:24:26	ga_ls8c_ard_3-0-0_111070_2018-11-14_final
2018-11-14 11:24:49	ga_ls8c_ard_3-0-0_111071_2018-11-14_final
2018-11-14 11:25:13	ga_ls8c_ard_3-0-0_111072_2018-11-14_final
2018-11-14 11:25:37	ga_ls8c_ard_3-0-0_111073_2018-11-14_final
2018-11-14 11:26:01	ga_ls8c_ard_3-0-0_111074_2018-11-14_final
2018-11-14 11:26:25	ga_ls8c_ard_3-0-0_111075_2018-11-14_final
2018-11-16 11:15:15	ga_ls8c_ard_3-0-0_109078_2018-11-16_final
2018-11-16 11:15:39	ga_ls8c_ard_3-0-0_109079_2018-11-16_final
2018-11-16 11:16:03	ga_ls8c_ard_3-0-0_109080_2018-11-16_final
2018-11-16 11:16:27	ga_ls8c_ard_3-0-0_109081_2018-11-16_final
2018-11-16 11:16:51	ga_ls8c_ard_3-0-0_109082_2018-11-16_final
2018-11-16 11:17:15	ga_ls8c_ard_3-0-0_109083_2018-11-16_final
2018-11-16 11:17:39	ga_ls8c_ard_3-0-0_109084_2018-11-16_final
2020-06-21 11:19:36	ga_ls8c_ard_3-1-0_110074_2020-06-21_final
2020-06-21 11:20:00	ga_ls8c_ard_3-1-0_110075_2020-06-21_final
2020-06-21 11:20:24	ga_ls8c_ard_3-1-0_110076_2020-06-21_final
2020-06-21 11:20:48	ga_ls8c_ard_3-1-0_110077_2020-06-21_final
2020-06-21 11:21:12	ga_ls8c_ard_3-1-0_110078_2020-06-21_final
2020-06-21 11:21:36	ga_ls8c_ard_3-1-0_110079_2020-06-21_final
2020-06-21 11:22:00	ga_ls8c_ard_3-1-0_110080_2020-06-21_final
2020-06-23 11:10:27	ga_ls8c_ard_3-1-0_108082_2020-06-23_final
2020-06-23 11:10:51	ga_ls8c_ard_3-1-0_108083_2020-06-23_final
2020-06-23 11:11:15	ga_ls8c_ard_3-1-0_108084_2020-06-23_final
2020-06-23 11:11:39	ga_ls8c_ard_3-1-0_108085_2020-06-23_final
2020-07-09 11:10:34	ga_ls8c_ard_3-1-0_108082_2020-07-09_final
2020-07-09 11:10:58	ga_ls8c_ard_3-1-0_108083_2020-07-09_final
2020-07-09 11:11:22	ga_ls8c_ard_3-1-0_108084_2020-07-09_final
2020-07-09 11:11:46	ga_ls8c_ard_3-1-0_108085_2020-07-09_final
2020-07-16 11:15:12	ga_ls8c_ard_3-1-0_109078_2020-07-16_final
2020-07-16 11:15:36	ga_ls8c_ard_3-1-0_109079_2020-07-16_final
2020-07-16 11:16:00	ga_ls8c_ard_3-1-0_109080_2020-07-16_final
2020-07-16 11:16:24	ga_ls8c_ard_3-1-0_109081_2020-07-16_final
2020-07-16 11:16:48	ga_ls8c_ard_3-1-0_109082_2020-07-16_final
2020-07-16 11:17:12	ga_ls8c_ard_3-1-0_109083_2020-07-16_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