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
2017-08-02 11:10:42	ga_ls8c_ard_3-0-0_108082_2017-08-02_final
2017-08-02 11:11:06	ga_ls8c_ard_3-0-0_108083_2017-08-02_final
2017-08-02 11:11:30	ga_ls8c_ard_3-0-0_108084_2017-08-02_final
2017-08-02 11:11:54	ga_ls8c_ard_3-0-0_108085_2017-08-02_final
2017-08-18 11:10:48	ga_ls8c_ard_3-0-0_108082_2017-08-18_final
2017-08-18 11:11:12	ga_ls8c_ard_3-0-0_108083_2017-08-18_final
2017-08-18 11:11:36	ga_ls8c_ard_3-0-0_108084_2017-08-18_final
2017-08-18 11:12:00	ga_ls8c_ard_3-0-0_108085_2017-08-18_final
2017-10-05 11:10:59	ga_ls8c_ard_3-0-0_108082_2017-10-05_final
2017-10-05 11:11:23	ga_ls8c_ard_3-0-0_108083_2017-10-05_final
2017-10-05 11:11:47	ga_ls8c_ard_3-0-0_108084_2017-10-05_final
2017-10-05 11:12:11	ga_ls8c_ard_3-0-0_108085_2017-10-05_final
2017-10-14 11:06:03	ga_ls8c_ard_3-0-0_107085_2017-10-14_final
2017-10-30 11:06:03	ga_ls8c_ard_3-0-0_107085_2017-10-30_final
2017-11-02 11:29:46	ga_ls8c_ard_3-0-0_112067_2017-11-02_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
2017-11-04 11:19:48	ga_ls8c_ard_3-0-0_110073_2017-11-04_final
2017-11-04 11:20:12	ga_ls8c_ard_3-0-0_110074_2017-11-04_final
2017-11-04 11:20:36	ga_ls8c_ard_3-0-0_110075_2017-11-04_final
2017-11-04 11:21:00	ga_ls8c_ard_3-0-0_110076_2017-11-04_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
2017-11-11 11:24:21	ga_ls8c_ard_3-0-0_111069_2017-11-11_final
2017-11-11 11:24:45	ga_ls8c_ard_3-0-0_111070_2017-11-11_final
2017-11-11 11:25:09	ga_ls8c_ard_3-0-0_111071_2017-11-11_final
2017-11-13 11:15:35	ga_ls8c_ard_3-0-0_109078_2017-11-13_final
2017-11-13 11:15:59	ga_ls8c_ard_3-0-0_109079_2017-11-13_final
2017-11-13 11:16:23	ga_ls8c_ard_3-0-0_109080_2017-11-13_final
2017-11-13 11:16:47	ga_ls8c_ard_3-0-0_109081_2017-11-13_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
2017-11-15 11:06:00	ga_ls8c_ard_3-0-0_107085_2017-11-15_final
2017-12-13 11:24:15	ga_ls8c_ard_3-0-0_111069_2017-12-13_final
2017-12-13 11:24:39	ga_ls8c_ard_3-0-0_111070_2017-12-13_final
2017-12-13 11:25:03	ga_ls8c_ard_3-0-0_111071_2017-12-13_final
2017-12-13 11:25:27	ga_ls8c_ard_3-0-0_111072_2017-12-13_final
2017-12-13 11:25:51	ga_ls8c_ard_3-0-0_111073_2017-12-13_final
2017-12-13 11:26:15	ga_ls8c_ard_3-0-0_111074_2017-12-13_final
2017-12-15 11:15:30	ga_ls8c_ard_3-0-0_109078_2017-12-15_final
2017-12-15 11:15:54	ga_ls8c_ard_3-0-0_109079_2017-12-15_final
2017-12-15 11:16:17	ga_ls8c_ard_3-0-0_109080_2017-12-15_final
2017-12-15 11:16:41	ga_ls8c_ard_3-0-0_109081_2017-12-15_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
2017-12-20 11:29:40	ga_ls8c_ard_3-0-0_112067_2017-12-20_final
2017-12-20 11:30:04	ga_ls8c_ard_3-0-0_112068_2017-12-20_final
2017-12-20 11:30:28	ga_ls8c_ard_3-0-0_112069_2017-12-20_final
2017-12-22 11:19:42	ga_ls8c_ard_3-0-0_110073_2017-12-22_final
2017-12-22 11:20:06	ga_ls8c_ard_3-0-0_110074_2017-12-22_final
2017-12-22 11:20:30	ga_ls8c_ard_3-0-0_110075_2017-12-22_final
2017-12-22 11:20:54	ga_ls8c_ard_3-0-0_110076_2017-12-22_final
2017-12-22 11:21:18	ga_ls8c_ard_3-0-0_110077_2017-12-22_final
2017-12-22 11:21:42	ga_ls8c_ard_3-0-0_110078_2017-12-22_final
2017-12-22 11:22:06	ga_ls8c_ard_3-0-0_110079_2017-12-22_final
2017-12-31 11:15:29	ga_ls8c_ard_3-0-0_109078_2017-12-31_final
2017-12-31 11:15:53	ga_ls8c_ard_3-0-0_109079_2017-12-31_final
2017-12-31 11:16:17	ga_ls8c_ard_3-0-0_109080_2017-12-31_final
2017-12-31 11:16:41	ga_ls8c_ard_3-0-0_109081_2017-12-31_final
2017-12-31 11:17:04	ga_ls8c_ard_3-0-0_109082_2017-12-31_final
2017-12-31 11:17:28	ga_ls8c_ard_3-0-0_109083_2017-12-31_final
2018-01-05 11:29:36	ga_ls8c_ard_3-0-0_112067_2018-01-05_final
2018-01-05 11:30:00	ga_ls8c_ard_3-0-0_112068_2018-01-05_final
2018-01-05 11:30:24	ga_ls8c_ard_3-0-0_112069_2018-01-05_final
2018-01-07 11:19:37	ga_ls8c_ard_3-0-0_110073_2018-01-07_final
2018-01-07 11:20:01	ga_ls8c_ard_3-0-0_110074_2018-01-07_final
2018-01-07 11:20:25	ga_ls8c_ard_3-0-0_110075_2018-01-07_final
2018-01-07 11:20:49	ga_ls8c_ard_3-0-0_110076_2018-01-07_final
2018-01-07 11:21:13	ga_ls8c_ard_3-0-0_110077_2018-01-07_final
2018-01-07 11:21:37	ga_ls8c_ard_3-0-0_110078_2018-01-07_final
2018-01-07 11:22:01	ga_ls8c_ard_3-0-0_110079_2018-01-07_final
2018-01-16 11:15:22	ga_ls8c_ard_3-0-0_109078_2018-01-16_final
2018-01-16 11:15:46	ga_ls8c_ard_3-0-0_109079_2018-01-16_final
2018-01-16 11:16:10	ga_ls8c_ard_3-0-0_109080_2018-01-16_final
2018-01-16 11:16:34	ga_ls8c_ard_3-0-0_109081_2018-01-16_final
2018-01-16 11:16:58	ga_ls8c_ard_3-0-0_109082_2018-01-16_final
2018-01-16 11:17:22	ga_ls8c_ard_3-0-0_109083_2018-01-16_final
2018-01-21 11:29:28	ga_ls8c_ard_3-0-0_112067_2018-01-21_final
2018-01-21 11:29:52	ga_ls8c_ard_3-0-0_112068_2018-01-21_final
2018-01-21 11:30:16	ga_ls8c_ard_3-0-0_112069_2018-01-21_final
2018-01-21 11:30:40	ga_ls8c_ard_3-0-0_112070_2018-01-21_final
2018-01-23 11:19:29	ga_ls8c_ard_3-0-0_110073_2018-01-23_final
2018-01-23 11:19:53	ga_ls8c_ard_3-0-0_110074_2018-01-23_final
2018-01-23 11:20:17	ga_ls8c_ard_3-0-0_110075_2018-01-23_final
2018-01-23 11:20:41	ga_ls8c_ard_3-0-0_110076_2018-01-23_final
2018-01-23 11:21:05	ga_ls8c_ard_3-0-0_110077_2018-01-23_final
2018-01-23 11:21:29	ga_ls8c_ard_3-0-0_110078_2018-01-23_final
2018-01-23 11:21:53	ga_ls8c_ard_3-0-0_110079_2018-01-23_final
2018-09-22 11:10:23	ga_ls8c_ard_3-0-0_108082_2018-09-22_final
2018-09-22 11:10:47	ga_ls8c_ard_3-0-0_108083_2018-09-22_final
2018-09-22 11:11:11	ga_ls8c_ard_3-0-0_108084_2018-09-22_final
2018-09-22 11:11:35	ga_ls8c_ard_3-0-0_108085_2018-09-22_final
2018-12-27 11:10:37	ga_ls8c_ard_3-0-0_108082_2018-12-27_final
2018-12-27 11:11:01	ga_ls8c_ard_3-0-0_108083_2018-12-27_final
2018-12-27 11:11:25	ga_ls8c_ard_3-0-0_108084_2018-12-27_final
2018-12-27 11:11:49	ga_ls8c_ard_3-0-0_108085_2018-12-27_final
2019-01-12 11:10:35	ga_ls8c_ard_3-0-0_108082_2019-01-12_final
2019-01-12 11:10:59	ga_ls8c_ard_3-0-0_108083_2019-01-12_final
2019-01-12 11:11:23	ga_ls8c_ard_3-0-0_108084_2019-01-12_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