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
2015-06-08 09:39:50	ga_ls8c_ard_3-0-0_094073_2015-06-08_final
2015-06-08 09:40:14	ga_ls8c_ard_3-0-0_094074_2015-06-08_final
2015-06-08 09:40:38	ga_ls8c_ard_3-0-0_094075_2015-06-08_final
2015-06-08 09:41:02	ga_ls8c_ard_3-0-0_094076_2015-06-08_final
2015-06-08 09:41:26	ga_ls8c_ard_3-0-0_094077_2015-06-08_final
2015-06-24 09:39:57	ga_ls8c_ard_3-0-0_094073_2015-06-24_final
2015-06-24 09:40:21	ga_ls8c_ard_3-0-0_094074_2015-06-24_final
2015-06-24 09:40:44	ga_ls8c_ard_3-0-0_094075_2015-06-24_final
2015-06-24 09:41:08	ga_ls8c_ard_3-0-0_094076_2015-06-24_final
2015-06-24 09:41:32	ga_ls8c_ard_3-0-0_094077_2015-06-24_final
2015-06-24 09:41:56	ga_ls8c_ard_3-0-0_094078_2015-06-24_final
2015-06-24 09:42:20	ga_ls8c_ard_3-0-0_094079_2015-06-24_final
2015-06-26 09:31:11	ga_ls8c_ard_3-0-0_092082_2015-06-26_final
2015-06-26 09:31:35	ga_ls8c_ard_3-0-0_092083_2015-06-26_final
2015-06-26 09:31:59	ga_ls8c_ard_3-0-0_092084_2015-06-26_final
2015-06-26 09:32:22	ga_ls8c_ard_3-0-0_092085_2015-06-26_final
2015-06-26 09:32:46	ga_ls8c_ard_3-0-0_092086_2015-06-26_final
2015-06-26 09:33:10	ga_ls8c_ard_3-0-0_092087_2015-06-26_final
2015-07-24 09:50:11	ga_ls8c_ard_3-0-0_096067_2015-07-24_final
2015-07-24 09:50:35	ga_ls8c_ard_3-0-0_096068_2015-07-24_final
2015-07-24 09:50:59	ga_ls8c_ard_3-0-0_096069_2015-07-24_final
2015-07-26 09:40:13	ga_ls8c_ard_3-0-0_094073_2015-07-26_final
2015-07-26 09:40:37	ga_ls8c_ard_3-0-0_094074_2015-07-26_final
2015-07-26 09:41:01	ga_ls8c_ard_3-0-0_094075_2015-07-26_final
2015-07-26 09:41:25	ga_ls8c_ard_3-0-0_094076_2015-07-26_final
2015-07-26 09:41:49	ga_ls8c_ard_3-0-0_094077_2015-07-26_final
2015-07-26 09:42:13	ga_ls8c_ard_3-0-0_094078_2015-07-26_final
2015-07-26 09:42:37	ga_ls8c_ard_3-0-0_094079_2015-07-26_final
2015-12-05 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-12-04_final
2015-12-05 09:22:49	ga_ls8c_ard_3-0-0_090090_2015-12-04_final
2015-12-05 09:23:13	ga_ls8c_ard_3-0-0_090091_2015-12-04_final
2015-12-08 09:45:44	ga_ls8c_ard_3-0-0_095070_2015-12-08_final
2015-12-08 09:46:08	ga_ls8c_ard_3-0-0_095071_2015-12-08_final
2015-12-08 09:46:32	ga_ls8c_ard_3-0-0_095072_2015-12-08_final
2015-12-08 09:46:56	ga_ls8c_ard_3-0-0_095073_2015-12-08_final
2015-12-08 09:47:19	ga_ls8c_ard_3-0-0_095074_2015-12-08_final
2015-12-10 09:36:33	ga_ls8c_ard_3-0-0_093078_2015-12-10_final
2015-12-10 09:36:57	ga_ls8c_ard_3-0-0_093079_2015-12-10_final
2015-12-10 09:37:21	ga_ls8c_ard_3-0-0_093080_2015-12-10_final
2015-12-10 09:37:45	ga_ls8c_ard_3-0-0_093081_2015-12-10_final
2015-12-10 09:38:09	ga_ls8c_ard_3-0-0_093082_2015-12-10_final
2015-12-10 09:38:33	ga_ls8c_ard_3-0-0_093083_2015-12-10_final
2015-12-21 09:22:26	ga_ls8c_ard_3-0-0_090089_2015-12-20_final
2015-12-21 09:22:50	ga_ls8c_ard_3-0-0_090090_2015-12-20_final
2015-12-21 09:23:14	ga_ls8c_ard_3-0-0_090091_2015-12-20_final
2018-09-22 09:31:30	ga_ls8c_ard_3-0-0_092082_2018-09-22_final
2018-09-22 09:31:54	ga_ls8c_ard_3-0-0_092083_2018-09-22_final
2018-09-22 09:32:18	ga_ls8c_ard_3-0-0_092084_2018-09-22_final
2018-09-22 09:32:42	ga_ls8c_ard_3-0-0_092085_2018-09-22_final
2018-09-22 09:33:06	ga_ls8c_ard_3-0-0_092086_2018-09-22_final
2018-09-22 09:33:30	ga_ls8c_ard_3-0-0_092087_2018-09-22_final
2018-09-24 09:21:58	ga_ls8c_ard_3-0-0_090089_2018-09-23_final
2018-09-24 09:22:22	ga_ls8c_ard_3-0-0_090090_2018-09-23_final
2018-09-24 09:22:46	ga_ls8c_ard_3-0-0_090091_2018-09-23_final
2018-11-25 09:31:47	ga_ls8c_ard_3-0-0_092082_2018-11-25_final
2018-11-25 09:32:11	ga_ls8c_ard_3-0-0_092083_2018-11-25_final
2018-11-25 09:32:35	ga_ls8c_ard_3-0-0_092084_2018-11-25_final
2018-11-25 09:32:59	ga_ls8c_ard_3-0-0_092085_2018-11-25_final
2018-11-25 09:33:23	ga_ls8c_ard_3-0-0_092086_2018-11-25_final
2018-11-25 09:33:47	ga_ls8c_ard_3-0-0_092087_2018-11-25_final
2018-11-27 09:22:13	ga_ls8c_ard_3-0-0_090089_2018-11-26_final
2018-11-27 09:22:37	ga_ls8c_ard_3-0-0_090090_2018-11-26_final
2018-11-27 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-26_final
2019-01-26 09:40:25	ga_ls8c_ard_3-0-0_094073_2019-01-26_final
2019-01-26 09:40:49	ga_ls8c_ard_3-0-0_094074_2019-01-26_final
2019-01-26 09:41:13	ga_ls8c_ard_3-0-0_094075_2019-01-26_final
2019-01-26 09:41:36	ga_ls8c_ard_3-0-0_094076_2019-01-26_final
2019-01-26 09:42:00	ga_ls8c_ard_3-0-0_094077_2019-01-26_final
2019-01-26 09:42:24	ga_ls8c_ard_3-0-0_094078_2019-01-26_final
2019-01-26 09:42:48	ga_ls8c_ard_3-0-0_094079_2019-01-26_final
2019-01-28 09:31:38	ga_ls8c_ard_3-0-0_092082_2019-01-28_final
2019-01-28 09:32:02	ga_ls8c_ard_3-0-0_092083_2019-01-28_final
2019-01-28 09:32:26	ga_ls8c_ard_3-0-0_092084_2019-01-28_final
2019-01-28 09:32:50	ga_ls8c_ard_3-0-0_092085_2019-01-28_final
2019-01-28 09:33:14	ga_ls8c_ard_3-0-0_092086_2019-01-28_final
2019-01-28 09:33:38	ga_ls8c_ard_3-0-0_092087_2019-01-28_final
2019-02-04 09:36:12	ga_ls8c_ard_3-0-0_093078_2019-02-04_final
2019-02-04 09:36:36	ga_ls8c_ard_3-0-0_093079_2019-02-04_final
2019-02-04 09:37:00	ga_ls8c_ard_3-0-0_093080_2019-02-04_final
2019-02-04 09:37:24	ga_ls8c_ard_3-0-0_093081_2019-02-04_final
2019-02-04 09:37:48	ga_ls8c_ard_3-0-0_093082_2019-02-04_final
2019-02-04 09:38:12	ga_ls8c_ard_3-0-0_093083_2019-02-04_final
2019-02-15 09:22:02	ga_ls8c_ard_3-0-0_090089_2019-02-14_final
2019-02-15 09:22:26	ga_ls8c_ard_3-0-0_090090_2019-02-14_final
2019-02-15 09:22:50	ga_ls8c_ard_3-0-0_090091_2019-02-14_final
2019-04-14 09:50:04	ga_ls8c_ard_3-1-0_096067_2019-04-14_final
2019-04-14 09:50:27	ga_ls8c_ard_3-1-0_096068_2019-04-14_final
2019-04-14 09:50:51	ga_ls8c_ard_3-1-0_096069_2019-04-14_final
2019-04-16 09:40:05	ga_ls8c_ard_3-1-0_094073_2019-04-16_final
2019-04-16 09:40:29	ga_ls8c_ard_3-1-0_094074_2019-04-16_final
2019-04-16 09:40:53	ga_ls8c_ard_3-1-0_094075_2019-04-16_final
2019-04-16 09:41:17	ga_ls8c_ard_3-1-0_094076_2019-04-16_final
2019-04-16 09:41:40	ga_ls8c_ard_3-1-0_094077_2019-04-16_final
2019-04-16 09:42:04	ga_ls8c_ard_3-1-0_094078_2019-04-16_final
2019-04-16 09:42:28	ga_ls8c_ard_3-1-0_094079_2019-04-16_final
2019-05-06 09:21:45	ga_ls8c_ard_3-0-0_090089_2019-05-05_final
2019-05-06 09:22:09	ga_ls8c_ard_3-0-0_090090_2019-05-05_final
2019-05-06 09:22:33	ga_ls8c_ard_3-0-0_090091_2019-05-05_final
2019-05-22 09:21:56	ga_ls8c_ard_3-0-0_090089_2019-05-21_final
2019-05-22 09:22:20	ga_ls8c_ard_3-0-0_090090_2019-05-21_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