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
2013-03-24 09:54:43	ga_ls8c_ard_3-0-0_096067_2013-03-24_final
2013-03-24 09:55:07	ga_ls8c_ard_3-0-0_096068_2013-03-24_final
2013-03-26 09:38:05	ga_ls8c_ard_3-0-0_093079_2013-03-26_final
2013-03-26 09:38:29	ga_ls8c_ard_3-0-0_093080_2013-03-26_final
2013-03-26 09:38:53	ga_ls8c_ard_3-0-0_093081_2013-03-26_final
2013-03-26 09:39:17	ga_ls8c_ard_3-0-0_093082_2013-03-26_final
2013-03-26 09:39:40	ga_ls8c_ard_3-0-0_093083_2013-03-26_final
2013-03-26 09:40:04	ga_ls8c_ard_3-0-0_093084_2013-03-26_final
2013-05-15 09:53:45	ga_ls8c_ard_3-0-0_096070_2013-05-15_final
2013-05-15 09:54:09	ga_ls8c_ard_3-0-0_096071_2013-05-15_final
2013-07-11 09:48:24	ga_ls8c_ard_3-0-0_095072_2013-07-11_final
2013-07-11 09:48:47	ga_ls8c_ard_3-0-0_095073_2013-07-11_final
2013-07-11 09:49:11	ga_ls8c_ard_3-0-0_095074_2013-07-11_final
2013-07-11 09:49:35	ga_ls8c_ard_3-0-0_095075_2013-07-11_final
2013-07-11 09:49:59	ga_ls8c_ard_3-0-0_095076_2013-07-11_final
2013-07-13 09:38:49	ga_ls8c_ard_3-0-0_093079_2013-07-13_final
2013-07-13 09:39:13	ga_ls8c_ard_3-0-0_093080_2013-07-13_final
2013-07-13 09:39:37	ga_ls8c_ard_3-0-0_093081_2013-07-13_final
2013-07-13 09:40:01	ga_ls8c_ard_3-0-0_093082_2013-07-13_final
2013-07-13 09:40:25	ga_ls8c_ard_3-0-0_093083_2013-07-13_final
2013-07-13 09:40:49	ga_ls8c_ard_3-0-0_093084_2013-07-13_final
2013-07-15 09:29:39	ga_ls8c_ard_3-0-0_091087_2013-07-14_final
2013-07-15 09:30:03	ga_ls8c_ard_3-0-0_091088_2013-07-15_final
2013-07-15 09:30:27	ga_ls8c_ard_3-0-0_091089_2013-07-15_final
2013-07-15 09:30:51	ga_ls8c_ard_3-0-0_091090_2013-07-15_final
2013-07-22 09:34:12	ga_ls8c_ard_3-0-0_092083_2013-07-22_final
2013-07-22 09:34:36	ga_ls8c_ard_3-0-0_092084_2013-07-22_final
2013-07-22 09:35:00	ga_ls8c_ard_3-0-0_092085_2013-07-22_final
2013-07-22 09:35:24	ga_ls8c_ard_3-0-0_092086_2013-07-22_final
2013-07-22 09:35:48	ga_ls8c_ard_3-0-0_092087_2013-07-22_final
2013-07-22 09:36:12	ga_ls8c_ard_3-0-0_092088_2013-07-22_final
2013-09-08 09:34:16	ga_ls8c_ard_3-0-0_092083_2013-09-08_final
2013-09-08 09:34:40	ga_ls8c_ard_3-0-0_092084_2013-09-08_final
2013-09-08 09:35:04	ga_ls8c_ard_3-0-0_092085_2013-09-08_final
2013-09-08 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-09-08_final
2013-09-08 09:35:52	ga_ls8c_ard_3-0-0_092087_2013-09-08_final
2013-09-08 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-09-08_final
2013-09-10 09:24:42	ga_ls8c_ard_3-0-0_090090_2013-09-09_final
2013-11-07 09:53:32	ga_ls8c_ard_3-0-0_096070_2013-11-07_final
2013-11-07 09:53:56	ga_ls8c_ard_3-0-0_096071_2013-11-07_final
2013-11-09 09:43:10	ga_ls8c_ard_3-0-0_094075_2013-11-09_final
2013-11-09 09:43:34	ga_ls8c_ard_3-0-0_094076_2013-11-09_final
2013-11-09 09:43:58	ga_ls8c_ard_3-0-0_094077_2013-11-09_final
2013-11-09 09:44:22	ga_ls8c_ard_3-0-0_094078_2013-11-09_final
2013-11-09 09:44:45	ga_ls8c_ard_3-0-0_094079_2013-11-09_final
2013-11-09 09:45:09	ga_ls8c_ard_3-0-0_094080_2013-11-09_final
2013-11-11 09:33:59	ga_ls8c_ard_3-0-0_092083_2013-11-11_final
2013-11-11 09:34:23	ga_ls8c_ard_3-0-0_092084_2013-11-11_final
2013-11-11 09:34:47	ga_ls8c_ard_3-0-0_092085_2013-11-11_final
2013-11-11 09:35:11	ga_ls8c_ard_3-0-0_092086_2013-11-11_final
2013-11-11 09:35:35	ga_ls8c_ard_3-0-0_092087_2013-11-11_final
2013-11-11 09:35:59	ga_ls8c_ard_3-0-0_092088_2013-11-11_final
2013-12-22 09:30:20	ga_ls8c_ard_3-0-0_091090_2013-12-22_final
2013-12-27 09:42:51	ga_ls8c_ard_3-0-0_094075_2013-12-27_final
2013-12-27 09:43:15	ga_ls8c_ard_3-0-0_094076_2013-12-27_final
2013-12-27 09:43:39	ga_ls8c_ard_3-0-0_094077_2013-12-27_final
2013-12-27 09:44:03	ga_ls8c_ard_3-0-0_094078_2013-12-27_final
2013-12-27 09:44:27	ga_ls8c_ard_3-0-0_094079_2013-12-27_final
2013-12-27 09:44:51	ga_ls8c_ard_3-0-0_094080_2013-12-27_final
2014-04-22 09:22:34	ga_ls8c_ard_3-0-0_090090_2014-04-21_final
2017-09-21 09:22:51	ga_ls8c_ard_3-0-0_090090_2017-09-20_final
2017-10-03 09:41:40	ga_ls8c_ard_3-0-0_094075_2017-10-03_final
2017-10-03 09:42:04	ga_ls8c_ard_3-0-0_094076_2017-10-03_final
2017-10-03 09:42:28	ga_ls8c_ard_3-0-0_094077_2017-10-03_final
2017-10-03 09:42:52	ga_ls8c_ard_3-0-0_094078_2017-10-03_final
2017-10-03 09:43:16	ga_ls8c_ard_3-0-0_094079_2017-10-03_final
2017-10-03 09:43:40	ga_ls8c_ard_3-0-0_094080_2017-10-03_final
2017-10-05 09:32:30	ga_ls8c_ard_3-0-0_092083_2017-10-05_final
2017-10-05 09:32:54	ga_ls8c_ard_3-0-0_092084_2017-10-05_final
2017-10-05 09:33:18	ga_ls8c_ard_3-0-0_092085_2017-10-05_final
2017-10-05 09:33:42	ga_ls8c_ard_3-0-0_092086_2017-10-05_final
2017-10-05 09:34:06	ga_ls8c_ard_3-0-0_092087_2017-10-05_final
2017-10-05 09:34:30	ga_ls8c_ard_3-0-0_092088_2017-10-05_final
2017-10-10 09:45:53	ga_ls8c_ard_3-0-0_095070_2017-10-10_final
2017-10-10 09:46:17	ga_ls8c_ard_3-0-0_095071_2017-10-10_final
2017-10-10 09:46:41	ga_ls8c_ard_3-0-0_095072_2017-10-10_final
2017-10-10 09:47:05	ga_ls8c_ard_3-0-0_095073_2017-10-10_final
2017-10-10 09:47:29	ga_ls8c_ard_3-0-0_095074_2017-10-10_final
2017-10-10 09:47:53	ga_ls8c_ard_3-0-0_095075_2017-10-10_final
2017-10-10 09:48:16	ga_ls8c_ard_3-0-0_095076_2017-10-10_final
2017-10-17 09:50:53	ga_ls8c_ard_3-0-0_096067_2017-10-17_final
2017-10-17 09:51:17	ga_ls8c_ard_3-0-0_096068_2017-10-17_final
2017-10-17 09:51:41	ga_ls8c_ard_3-0-0_096069_2017-10-17_final
2017-10-17 09:52:05	ga_ls8c_ard_3-0-0_096070_2017-10-17_final
2017-10-17 09:52:29	ga_ls8c_ard_3-0-0_096071_2017-10-17_final
2017-11-24 09:22:53	ga_ls8c_ard_3-0-0_090090_2017-11-23_final
2017-11-24 09:23:17	ga_ls8c_ard_3-0-0_090091_2017-11-23_final
2017-12-26 09:22:52	ga_ls8c_ard_3-0-0_090090_2017-12-25_final
2017-12-26 09:23:16	ga_ls8c_ard_3-0-0_090091_2017-12-25_final
2020-02-02 09:22:46	ga_ls8c_ard_3-1-0_090090_2020-02-01_final
2020-02-02 09:23:10	ga_ls8c_ard_3-1-0_090091_2020-02-01_final
2020-04-04 09:31:55	ga_ls8c_ard_3-1-0_092083_2020-04-04_final
2020-04-04 09:32:19	ga_ls8c_ard_3-1-0_092084_2020-04-04_final
2020-04-04 09:32:43	ga_ls8c_ard_3-1-0_092085_2020-04-04_final
2020-04-04 09:33:07	ga_ls8c_ard_3-1-0_092086_2020-04-04_final
2020-04-04 09:33:31	ga_ls8c_ard_3-1-0_092087_2020-04-04_final
2020-04-04 09:33:55	ga_ls8c_ard_3-1-0_092088_2020-04-04_final
2020-04-06 09:22:21	ga_ls8c_ard_3-1-0_090090_2020-04-05_final
2020-04-06 09:22:45	ga_ls8c_ard_3-1-0_090091_2020-04-05_final
2020-05-24 09:22:08	ga_ls8c_ard_3-1-0_090090_2020-05-23_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