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
2013-03-26 09:33:19	ga_ls8c_ard_3-0-0_093067_2013-03-26_final
2013-03-26 09:33:43	ga_ls8c_ard_3-0-0_093068_2013-03-26_final
2013-03-26 09:34:07	ga_ls8c_ard_3-0-0_093069_2013-03-26_final
2013-03-28 09:17:04	ga_ls8c_ard_3-0-0_090080_2013-03-27_final
2013-03-28 09:17:28	ga_ls8c_ard_3-0-0_090081_2013-03-27_final
2013-03-28 09:17:52	ga_ls8c_ard_3-0-0_090082_2013-03-27_final
2013-03-28 09:18:16	ga_ls8c_ard_3-0-0_090083_2013-03-27_final
2013-05-03 09:29:40	ga_ls8c_ard_3-0-0_092072_2013-05-02_final
2013-05-03 09:30:04	ga_ls8c_ard_3-1-0_092073_2013-05-03_final
2013-05-03 09:30:28	ga_ls8c_ard_3-0-0_092074_2013-05-03_final
2013-07-13 09:34:02	ga_ls8c_ard_3-0-0_093067_2013-07-13_final
2013-07-13 09:34:26	ga_ls8c_ard_3-0-0_093068_2013-07-13_final
2013-07-15 09:25:16	ga_ls8c_ard_3-0-0_091076_2013-07-14_final
2013-07-15 09:25:40	ga_ls8c_ard_3-0-0_091077_2013-07-14_final
2013-07-15 09:26:03	ga_ls8c_ard_3-0-0_091078_2013-07-14_final
2013-07-15 09:26:27	ga_ls8c_ard_3-0-0_091079_2013-07-14_final
2013-10-19 09:26:18	ga_ls8c_ard_3-0-0_091079_2013-10-18_final
2013-10-21 09:15:07	ga_ls8c_ard_3-0-0_089082_2013-10-20_final
2013-10-21 09:15:31	ga_ls8c_ard_3-0-0_089083_2013-10-20_final
2013-10-21 09:15:55	ga_ls8c_ard_3-0-0_089084_2013-10-20_final
2015-03-29 09:31:31	ga_ls8c_ard_3-0-0_093067_2015-03-29_final
2015-03-29 09:31:55	ga_ls8c_ard_3-0-0_093068_2015-03-29_final
2015-04-14 09:31:26	ga_ls8c_ard_3-0-0_093067_2015-04-14_final
2015-04-14 09:31:50	ga_ls8c_ard_3-0-0_093068_2015-04-14_final
2015-05-16 09:31:04	ga_ls8c_ard_3-0-0_093067_2015-05-16_final
2015-05-16 09:31:28	ga_ls8c_ard_3-0-0_093068_2015-05-16_final
2015-06-26 09:26:47	ga_ls8c_ard_3-0-0_092071_2015-06-25_final
2015-06-26 09:27:11	ga_ls8c_ard_3-0-0_092072_2015-06-25_final
2015-06-26 09:27:35	ga_ls8c_ard_3-0-0_092073_2015-06-25_final
2015-06-26 09:27:59	ga_ls8c_ard_3-0-0_092074_2015-06-25_final
2015-08-13 09:27:09	ga_ls8c_ard_3-0-0_092071_2015-08-12_final
2015-08-13 09:27:33	ga_ls8c_ard_3-0-0_092072_2015-08-12_final
2015-08-13 09:27:57	ga_ls8c_ard_3-1-0_092073_2015-08-12_final
2015-08-13 09:28:21	ga_ls8c_ard_3-0-0_092074_2015-08-12_final
2015-08-29 09:27:16	ga_ls8c_ard_3-0-0_092071_2015-08-28_final
2015-08-29 09:27:40	ga_ls8c_ard_3-0-0_092072_2015-08-28_final
2015-08-29 09:28:04	ga_ls8c_ard_3-0-0_092073_2015-08-28_final
2015-08-29 09:28:28	ga_ls8c_ard_3-0-0_092074_2015-08-28_final
2015-09-21 09:32:01	ga_ls8c_ard_3-0-0_093067_2015-09-21_final
2015-09-21 09:32:25	ga_ls8c_ard_3-0-0_093068_2015-09-21_final
2015-09-23 09:22:04	ga_ls8c_ard_3-0-0_091073_2015-09-22_final
2015-09-23 09:22:28	ga_ls8c_ard_3-0-0_091074_2015-09-22_final
2015-09-23 09:22:52	ga_ls8c_ard_3-0-0_091075_2015-09-22_final
2015-09-23 09:23:16	ga_ls8c_ard_3-0-0_091076_2015-09-22_final
2015-09-23 09:23:40	ga_ls8c_ard_3-0-0_091077_2015-09-22_final
2015-09-23 09:24:04	ga_ls8c_ard_3-0-0_091078_2015-09-22_final
2015-09-23 09:24:28	ga_ls8c_ard_3-0-0_091079_2015-09-22_final
2015-09-25 09:13:18	ga_ls8c_ard_3-0-0_089082_2015-09-24_final
2015-09-25 09:13:42	ga_ls8c_ard_3-0-0_089083_2015-09-24_final
2015-09-25 09:14:06	ga_ls8c_ard_3-0-0_089084_2015-09-24_final
2015-09-25 09:14:30	ga_ls8c_ard_3-0-0_089085_2015-09-24_final
2015-09-25 09:14:54	ga_ls8c_ard_3-0-0_089086_2015-09-24_final
2015-09-25 09:15:18	ga_ls8c_ard_3-0-0_089087_2015-09-24_final
2015-10-16 09:27:28	ga_ls8c_ard_3-0-0_092071_2015-10-15_final
2015-10-16 09:27:52	ga_ls8c_ard_3-0-0_092072_2015-10-15_final
2015-10-16 09:28:16	ga_ls8c_ard_3-0-0_092073_2015-10-15_final
2015-10-16 09:28:40	ga_ls8c_ard_3-0-0_092074_2015-10-15_final
2015-11-17 09:27:35	ga_ls8c_ard_3-0-0_092071_2015-11-16_final
2015-11-17 09:27:59	ga_ls8c_ard_3-0-0_092072_2015-11-16_final
2015-11-17 09:28:23	ga_ls8c_ard_3-0-0_092073_2015-11-16_final
2015-11-17 09:28:47	ga_ls8c_ard_3-0-0_092074_2015-11-16_final
2015-11-26 09:22:14	ga_ls8c_ard_3-0-0_091073_2015-11-25_final
2015-11-26 09:22:38	ga_ls8c_ard_3-0-0_091074_2015-11-25_final
2015-11-26 09:23:02	ga_ls8c_ard_3-0-0_091075_2015-11-25_final
2015-11-26 09:23:26	ga_ls8c_ard_3-0-0_091076_2015-11-25_final
2015-11-26 09:23:50	ga_ls8c_ard_3-0-0_091077_2015-11-25_final
2015-11-26 09:24:14	ga_ls8c_ard_3-0-0_091078_2015-11-25_final
2015-11-26 09:24:38	ga_ls8c_ard_3-0-0_091079_2015-11-25_final
2017-09-03 09:27:34	ga_ls8c_ard_3-0-0_092071_2017-09-02_final
2017-09-12 09:22:35	ga_ls8c_ard_3-0-0_091074_2017-09-11_final
2017-09-12 09:22:59	ga_ls8c_ard_3-0-0_091075_2017-09-11_final
2017-09-12 09:23:23	ga_ls8c_ard_3-0-0_091076_2017-09-11_final
2017-09-12 09:23:47	ga_ls8c_ard_3-0-0_091077_2017-09-11_final
2017-09-12 09:24:11	ga_ls8c_ard_3-0-0_091078_2017-09-11_final
2017-09-12 09:24:35	ga_ls8c_ard_3-0-0_091079_2017-09-11_final
2017-10-21 09:27:46	ga_ls8c_ard_3-0-0_092071_2017-10-20_final
2017-10-21 09:28:10	ga_ls8c_ard_3-0-0_092072_2017-10-20_final
2017-10-21 09:28:34	ga_ls8c_ard_3-1-0_092073_2017-10-20_final
2017-10-21 09:28:58	ga_ls8c_ard_3-0-0_092074_2017-10-20_final
2017-12-24 09:27:39	ga_ls8c_ard_3-0-0_092071_2017-12-23_final
2017-12-24 09:28:03	ga_ls8c_ard_3-0-0_092072_2017-12-23_final
2017-12-24 09:28:27	ga_ls8c_ard_3-0-0_092073_2017-12-23_final
2017-12-24 09:28:51	ga_ls8c_ard_3-0-0_092074_2017-12-23_final
2020-02-18 09:17:55	ga_ls8c_ard_3-1-0_090078_2020-02-17_final
2020-02-18 09:18:19	ga_ls8c_ard_3-1-0_090079_2020-02-17_final
2020-02-18 09:18:43	ga_ls8c_ard_3-1-0_090080_2020-02-17_final
2020-02-18 09:19:07	ga_ls8c_ard_3-1-0_090081_2020-02-17_final
2020-02-18 09:19:31	ga_ls8c_ard_3-1-0_090082_2020-02-17_final
2020-02-18 09:19:55	ga_ls8c_ard_3-1-0_090083_2020-02-17_final
2020-03-12 09:22:22	ga_ls8c_ard_3-1-0_091074_2020-03-11_final
2020-03-12 09:22:46	ga_ls8c_ard_3-1-0_091075_2020-03-11_final
2020-03-12 09:23:10	ga_ls8c_ard_3-1-0_091076_2020-03-11_final
2020-03-12 09:23:34	ga_ls8c_ard_3-1-0_091077_2020-03-11_final
2020-03-12 09:23:58	ga_ls8c_ard_3-1-0_091078_2020-03-11_final
2020-03-12 09:24:22	ga_ls8c_ard_3-1-0_091079_2020-03-11_final
2020-03-14 09:13:11	ga_ls8c_ard_3-1-0_089082_2020-03-13_final
2020-03-14 09:13:35	ga_ls8c_ard_3-1-0_089083_2020-03-13_final
2020-03-14 09:13:59	ga_ls8c_ard_3-1-0_089084_2020-03-13_final
2020-03-14 09:14:23	ga_ls8c_ard_3-1-0_089085_2020-03-13_final
2020-03-14 09:14:47	ga_ls8c_ard_3-1-0_089086_2020-03-13_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