Search ga_ls7e_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
2005-11-22 09:17:12	ga_ls7e_ard_3-0-0_091087_2005-11-21_final
2005-12-20 09:41:37	ga_ls7e_ard_3-0-0_095086_2005-12-20_final
2005-12-20 09:42:01	ga_ls7e_ard_3-0-0_095087_2005-12-20_final
2005-12-22 09:29:16	ga_ls7e_ard_3-0-0_093086_2005-12-21_final
2005-12-22 09:29:40	ga_ls7e_ard_3-0-0_093087_2005-12-21_final
2005-12-24 09:16:56	ga_ls7e_ard_3-1-0_091086_2005-12-23_final
2005-12-24 09:17:20	ga_ls7e_ard_3-0-0_091087_2005-12-23_final
2006-02-26 09:17:21	ga_ls7e_ard_3-1-0_091086_2006-02-25_final
2006-02-26 09:17:45	ga_ls7e_ard_3-0-0_091087_2006-02-25_final
2006-04-04 09:35:52	ga_ls7e_ard_3-0-0_094086_2006-04-04_final
2006-04-04 09:36:16	ga_ls7e_ard_3-0-0_094087_2006-04-04_final
2006-05-15 09:29:42	ga_ls7e_ard_3-0-0_093086_2006-05-14_final
2006-05-17 09:17:20	ga_ls7e_ard_3-1-0_091086_2006-05-16_final
2006-05-17 09:17:44	ga_ls7e_ard_3-0-0_091087_2006-05-16_final
2006-06-09 09:23:28	ga_ls7e_ard_3-0-0_092086_2006-06-08_final
2006-06-09 09:23:52	ga_ls7e_ard_3-0-0_092087_2006-06-08_final
2010-04-22 09:44:12	ga_ls7e_ard_3-0-0_095086_2010-04-22_final
2010-04-22 09:44:36	ga_ls7e_ard_3-0-0_095087_2010-04-22_final
2010-04-24 09:32:14	ga_ls7e_ard_3-0-0_093087_2010-04-24_final
2010-04-26 09:19:28	ga_ls7e_ard_3-1-0_091086_2010-04-25_final
2010-04-26 09:19:52	ga_ls7e_ard_3-0-0_091087_2010-04-25_final
2010-05-03 09:25:38	ga_ls7e_ard_3-0-0_092086_2010-05-02_final
2010-05-03 09:26:02	ga_ls7e_ard_3-0-0_092087_2010-05-02_final
2010-05-12 09:19:24	ga_ls7e_ard_3-1-0_091086_2010-05-11_final
2010-05-12 09:19:48	ga_ls7e_ard_3-0-0_091087_2010-05-11_final
2010-05-26 09:31:45	ga_ls7e_ard_3-0-0_093086_2010-05-26_final
2010-05-26 09:32:09	ga_ls7e_ard_3-0-0_093087_2010-05-26_final
2010-05-28 09:19:24	ga_ls7e_ard_3-1-0_091086_2010-05-27_final
2010-05-28 09:19:48	ga_ls7e_ard_3-0-0_091087_2010-05-27_final
2010-06-02 09:37:57	ga_ls7e_ard_3-0-0_094086_2010-06-02_final
2010-06-02 09:38:20	ga_ls7e_ard_3-0-0_094087_2010-06-02_final
2010-06-29 09:19:27	ga_ls7e_ard_3-1-0_091086_2010-06-28_final
2010-06-29 09:19:51	ga_ls7e_ard_3-0-0_091087_2010-06-28_final
2010-07-01 09:07:06	ga_ls7e_ard_3-0-0_089086_2010-06-30_final
2010-07-04 09:38:24	ga_ls7e_ard_3-0-0_094087_2010-07-04_final
2010-07-06 09:25:39	ga_ls7e_ard_3-0-0_092086_2010-07-05_final
2010-07-06 09:26:03	ga_ls7e_ard_3-0-0_092087_2010-07-05_final
2010-07-08 09:13:18	ga_ls7e_ard_3-0-0_090086_2010-07-07_final
2010-07-20 09:38:26	ga_ls7e_ard_3-0-0_094087_2010-07-20_final
2010-07-24 09:13:19	ga_ls7e_ard_3-0-0_090086_2010-07-23_final
2010-08-16 09:19:30	ga_ls7e_ard_3-1-0_091086_2010-08-15_final
2010-08-16 09:19:54	ga_ls7e_ard_3-0-0_091087_2010-08-15_final
2010-08-19 09:50:24	ga_ls7e_ard_3-1-0_096086_2010-08-19_final
2010-09-15 09:32:19	ga_ls7e_ard_3-0-0_093087_2010-09-15_final
2010-09-17 09:19:33	ga_ls7e_ard_3-1-0_091086_2010-09-16_final
2011-01-19 09:45:19	ga_ls7e_ard_3-0-0_095086_2011-01-19_final
2013-10-02 09:29:16	ga_ls7e_ard_3-0-0_092086_2013-10-01_final
2013-10-02 09:29:40	ga_ls7e_ard_3-0-0_092087_2013-10-01_final
2013-11-26 09:36:17	ga_ls7e_ard_3-1-0_093087_2013-11-26_final
2013-12-28 09:36:03	ga_ls7e_ard_3-0-0_093086_2013-12-28_final
2013-12-28 09:36:27	ga_ls7e_ard_3-0-0_093087_2013-12-28_final
2014-02-18 09:11:37	ga_ls7e_ard_3-0-0_089086_2014-02-17_final
2014-02-19 09:54:52	ga_ls7e_ard_3-1-0_096086_2014-02-19_final
2014-02-23 09:30:10	ga_ls7e_ard_3-1-0_092086_2014-02-23_final
2014-02-23 09:30:34	ga_ls7e_ard_3-0-0_092087_2014-02-23_final
2014-02-28 09:48:42	ga_ls7e_ard_3-0-0_095086_2014-02-28_final
2014-03-02 09:36:23	ga_ls7e_ard_3-0-0_093086_2014-03-02_final
2014-03-18 09:36:55	ga_ls7e_ard_3-1-0_093087_2014-03-18_final
2017-12-14 09:48:11	ga_ls7e_ard_3-0-0_094086_2017-12-14_final
2017-12-16 09:35:48	ga_ls7e_ard_3-0-0_092086_2017-12-16_final
2017-12-16 09:36:12	ga_ls7e_ard_3-0-0_092087_2017-12-16_final
2017-12-23 09:41:55	ga_ls7e_ard_3-0-0_093086_2017-12-23_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2017-12-27 09:17:08	ga_ls7e_ard_3-0-0_089086_2017-12-26_final
2018-01-03 09:23:14	ga_ls7e_ard_3-0-0_090086_2018-01-02_final
2018-01-24 09:41:27	ga_ls7e_ard_3-0-0_093086_2018-01-24_final
2018-01-24 09:41:51	ga_ls7e_ard_3-1-0_093087_2018-01-24_final
2018-01-26 09:29:04	ga_ls7e_ard_3-1-0_091086_2018-01-25_final
2018-03-04 09:47:09	ga_ls7e_ard_3-0-0_094086_2018-03-04_final
2018-03-06 09:34:46	ga_ls7e_ard_3-0-0_092086_2018-03-06_final
2018-03-06 09:35:10	ga_ls7e_ard_3-0-0_092087_2018-03-06_final
2018-03-08 09:22:23	ga_ls7e_ard_3-0-0_090086_2018-03-07_final
2018-03-11 09:53:15	ga_ls7e_ard_3-0-0_095086_2018-03-11_final
2018-03-13 09:40:52	ga_ls7e_ard_3-0-0_093086_2018-03-13_final
2018-03-13 09:41:16	ga_ls7e_ard_3-0-0_093087_2018-03-13_final
2018-03-15 09:28:29	ga_ls7e_ard_3-1-0_091086_2018-03-14_final
2018-03-15 09:28:52	ga_ls7e_ard_3-0-0_091087_2018-03-14_final
2018-04-30 09:40:07	ga_ls7e_ard_3-0-0_093086_2018-04-30_final
2018-04-30 09:40:31	ga_ls7e_ard_3-0-0_093087_2018-04-30_final
2018-05-02 09:27:43	ga_ls7e_ard_3-1-0_091086_2018-05-01_final
2018-05-02 09:28:07	ga_ls7e_ard_3-0-0_091087_2018-05-01_final
2018-05-04 09:15:19	ga_ls7e_ard_3-0-0_089086_2018-05-03_final
2018-05-07 09:46:33	ga_ls7e_ard_3-0-0_094087_2018-05-07_final
2018-05-14 09:52:14	ga_ls7e_ard_3-0-0_095086_2018-05-14_final
2018-05-16 09:39:50	ga_ls7e_ard_3-0-0_093086_2018-05-16_final
2018-05-18 09:27:27	ga_ls7e_ard_3-1-0_091086_2018-05-17_final
2018-06-03 09:27:12	ga_ls7e_ard_3-1-0_091086_2018-06-02_final
2018-06-03 09:27:36	ga_ls7e_ard_3-0-0_091087_2018-06-02_final
2018-06-05 09:14:48	ga_ls7e_ard_3-0-0_089086_2018-06-04_final
2018-06-06 09:58:03	ga_ls7e_ard_3-1-0_096086_2018-06-06_final
2018-06-21 09:14:30	ga_ls7e_ard_3-0-0_089086_2018-06-20_final
2018-06-22 09:57:45	ga_ls7e_ard_3-1-0_096086_2018-06-22_final
2018-07-07 09:14:11	ga_ls7e_ard_3-0-0_089086_2018-07-06_final
2018-07-08 09:57:25	ga_ls7e_ard_3-1-0_096086_2018-07-08_final
2018-07-17 09:51:05	ga_ls7e_ard_3-0-0_095086_2018-07-17_final
2018-07-19 09:38:41	ga_ls7e_ard_3-0-0_093086_2018-07-19_final
2018-07-19 09:39:05	ga_ls7e_ard_3-1-0_093087_2018-07-19_final
2018-11-26 09:23:31	ga_ls7e_ard_3-1-0_091086_2018-11-25_final
2018-11-26 09:23:55	ga_ls7e_ard_3-0-0_091087_2018-11-25_final
2019-04-21 09:06:35	ga_ls7e_ard_3-0-0_089086_2019-04-20_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years