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
2000-01-19 11:32:01	ga_ls7e_ard_3-0-0_113076_2000-01-19_final
2000-03-23 11:31:51	ga_ls7e_ard_3-0-0_113076_2000-03-23_final
2000-08-14 11:30:20	ga_ls7e_ard_3-0-0_113076_2000-08-14_final
2001-02-06 11:29:39	ga_ls7e_ard_3-0-0_113076_2001-02-06_final
2001-03-26 11:29:25	ga_ls7e_ard_3-0-0_113076_2001-03-26_final
2001-11-05 11:27:38	ga_ls7e_ard_3-0-0_113076_2001-11-05_final
2002-02-25 11:28:11	ga_ls7e_ard_3-0-0_113076_2002-02-25_final
2002-07-03 11:27:41	ga_ls7e_ard_3-0-0_113076_2002-07-03_final
2002-07-19 11:27:34	ga_ls7e_ard_3-0-0_113076_2002-07-19_final
2002-08-04 11:27:26	ga_ls7e_ard_3-0-0_113076_2002-08-04_final
2003-02-12 11:27:55	ga_ls7e_ard_3-0-0_113076_2003-02-12_final
2003-05-19 11:27:55	ga_ls7e_ard_3-0-0_113076_2003-05-19_final
2003-10-26 11:27:37	ga_ls7e_ard_3-0-0_113076_2003-10-26_final
2004-01-14 11:28:10	ga_ls7e_ard_3-0-0_113076_2004-01-14_final
2004-06-06 11:28:20	ga_ls7e_ard_3-0-0_113076_2004-06-06_final
2004-10-28 11:28:03	ga_ls7e_ard_3-0-0_113076_2004-10-28_final
2005-01-16 11:28:39	ga_ls7e_ard_3-0-0_113076_2005-01-16_final
2005-04-06 11:28:52	ga_ls7e_ard_3-0-0_113076_2005-04-06_final
2007-11-06 11:29:17	ga_ls7e_ard_3-0-0_113076_2007-11-06_final
2008-02-10 11:29:32	ga_ls7e_ard_3-0-0_113076_2008-02-10_final
2014-05-10 11:32:43	ga_ls7e_ard_3-0-0_112082_2014-05-10_final
2015-01-19 11:43:58	ga_ls7e_ard_3-0-0_114076_2015-01-19_final
2015-03-08 11:44:19	ga_ls7e_ard_3-0-0_114076_2015-03-08_final
2015-05-13 11:34:53	ga_ls7e_ard_3-0-0_112082_2015-05-13_final
2015-05-29 11:34:56	ga_ls7e_ard_3-0-0_112082_2015-05-29_final
2015-06-14 11:35:04	ga_ls7e_ard_3-0-0_112082_2015-06-14_final
2015-08-01 11:35:14	ga_ls7e_ard_3-0-0_112082_2015-08-01_final
2015-08-17 11:35:18	ga_ls7e_ard_3-0-0_112082_2015-08-17_final
2015-09-18 11:35:24	ga_ls7e_ard_3-0-0_112082_2015-09-18_final
2015-10-20 11:35:45	ga_ls7e_ard_3-0-0_112082_2015-10-20_final
2015-11-21 11:36:16	ga_ls7e_ard_3-0-0_112082_2015-11-21_final
2015-12-07 11:36:29	ga_ls7e_ard_3-0-0_112082_2015-12-07_final
2015-12-23 11:36:44	ga_ls7e_ard_3-0-0_112082_2015-12-23_final
2016-01-08 11:36:59	ga_ls7e_ard_3-0-0_112082_2016-01-08_final
2016-02-07 11:47:16	ga_ls7e_ard_3-0-0_114076_2016-02-07_final
2016-02-09 11:37:19	ga_ls7e_ard_3-0-0_112082_2016-02-09_final
2016-02-25 11:37:21	ga_ls7e_ard_3-0-0_112082_2016-02-25_final
2016-03-12 11:37:32	ga_ls7e_ard_3-0-0_112082_2016-03-12_final
2016-03-28 11:37:37	ga_ls7e_ard_3-0-0_112082_2016-03-28_final
2016-04-29 11:37:49	ga_ls7e_ard_3-0-0_112082_2016-04-29_final
2016-05-15 11:37:51	ga_ls7e_ard_3-0-0_112082_2016-05-15_final
2016-06-16 11:38:01	ga_ls7e_ard_3-0-0_112082_2016-06-16_final
2016-07-18 11:38:02	ga_ls7e_ard_3-0-0_112082_2016-07-18_final
2016-08-03 11:38:04	ga_ls7e_ard_3-0-0_112082_2016-08-03_final
2016-09-20 11:38:11	ga_ls7e_ard_3-0-0_112082_2016-09-20_final
2016-10-06 11:38:13	ga_ls7e_ard_3-0-0_112082_2016-10-06_final
2016-10-22 11:38:11	ga_ls7e_ard_3-0-0_112082_2016-10-22_final
2016-11-07 11:38:04	ga_ls7e_ard_3-0-0_112082_2016-11-07_final
2016-11-23 11:37:59	ga_ls7e_ard_3-0-0_112082_2016-11-23_final
2016-12-25 11:37:50	ga_ls7e_ard_3-0-0_112082_2016-12-25_final
2017-02-27 11:37:31	ga_ls7e_ard_3-0-0_112082_2017-02-27_final
2017-04-16 11:37:48	ga_ls7e_ard_3-0-0_112082_2017-04-16_final
2017-05-02 11:37:54	ga_ls7e_ard_3-0-0_112082_2017-05-02_final
2017-05-18 11:37:57	ga_ls7e_ard_3-0-0_112082_2017-05-18_final
2017-06-03 11:38:01	ga_ls7e_ard_3-0-0_112082_2017-06-03_final
2017-07-03 11:48:05	ga_ls7e_ard_3-0-0_114076_2017-07-03_final
2017-07-05 11:38:07	ga_ls7e_ard_3-0-0_112082_2017-07-05_final
2017-07-21 11:38:07	ga_ls7e_ard_3-0-0_112082_2017-07-21_final
2017-08-22 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-08-22_final
2017-09-07 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-09-07_final
2017-09-21 11:48:00	ga_ls7e_ard_3-0-0_114076_2017-09-21_final
2017-09-23 11:38:02	ga_ls7e_ard_3-0-0_112082_2017-09-23_final
2017-10-09 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-10-09_final
2017-11-10 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-11-10_final
2017-11-26 11:37:59	ga_ls7e_ard_3-0-0_112082_2017-11-26_final
2017-12-12 11:37:51	ga_ls7e_ard_3-0-0_112082_2017-12-12_final
2017-12-28 11:37:41	ga_ls7e_ard_3-0-0_112082_2017-12-28_final
2018-01-13 11:37:27	ga_ls7e_ard_3-0-0_112082_2018-01-13_final
2018-01-27 11:47:12	ga_ls7e_ard_3-0-0_114076_2018-01-27_final
2018-02-14 11:36:59	ga_ls7e_ard_3-0-0_112082_2018-02-14_final
2018-03-18 11:36:37	ga_ls7e_ard_3-0-0_112082_2018-03-18_final
2018-04-03 11:36:24	ga_ls7e_ard_3-0-0_112082_2018-04-03_final
2018-05-05 11:35:50	ga_ls7e_ard_3-0-0_112082_2018-05-05_final
2018-05-21 11:35:35	ga_ls7e_ard_3-0-0_112082_2018-05-21_final
2018-06-06 11:35:20	ga_ls7e_ard_3-0-0_112082_2018-06-06_final
2018-06-22 11:35:02	ga_ls7e_ard_3-0-0_112082_2018-06-22_final
2018-07-08 11:34:43	ga_ls7e_ard_3-0-0_112082_2018-07-08_final
2018-07-22 11:44:26	ga_ls7e_ard_3-0-0_114076_2018-07-22_final
2018-07-24 11:34:26	ga_ls7e_ard_3-0-0_112082_2018-07-24_final
2018-08-09 11:34:09	ga_ls7e_ard_3-0-0_112082_2018-08-09_final
2018-08-25 11:33:50	ga_ls7e_ard_3-0-0_112082_2018-08-25_final
2018-09-08 11:43:30	ga_ls7e_ard_3-0-0_114076_2018-09-08_final
2018-09-10 11:33:29	ga_ls7e_ard_3-0-0_112082_2018-09-10_final
2018-09-26 11:33:08	ga_ls7e_ard_3-0-0_112082_2018-09-26_final
2018-10-28 11:32:23	ga_ls7e_ard_3-0-0_112082_2018-10-28_final
2018-11-11 11:42:02	ga_ls7e_ard_3-0-0_114076_2018-11-11_final
2018-11-13 11:32:01	ga_ls7e_ard_3-0-0_112082_2018-11-13_final
2018-11-27 11:41:38	ga_ls7e_ard_3-0-0_114076_2018-11-27_final
2018-11-29 11:31:37	ga_ls7e_ard_3-0-0_112082_2018-11-29_final
2018-12-15 11:31:11	ga_ls7e_ard_3-0-0_112082_2018-12-15_final
2018-12-31 11:30:43	ga_ls7e_ard_3-0-0_112082_2018-12-31_final
2019-01-16 11:30:13	ga_ls7e_ard_3-0-0_112082_2019-01-16_final
2019-01-30 11:39:43	ga_ls7e_ard_3-0-0_114076_2019-01-30_final
2019-02-01 11:29:42	ga_ls7e_ard_3-0-0_112082_2019-02-01_final
2019-05-08 11:26:29	ga_ls7e_ard_3-0-0_112082_2019-05-08_final
2019-06-09 11:25:18	ga_ls7e_ard_3-0-0_112082_2019-06-09_final
2019-07-09 11:34:08	ga_ls7e_ard_3-0-0_114076_2019-07-09_final
2019-07-11 11:24:06	ga_ls7e_ard_3-0-0_112082_2019-07-11_final
2019-07-27 11:23:27	ga_ls7e_ard_3-0-0_112082_2019-07-27_final
2019-08-10 11:32:51	ga_ls7e_ard_3-0-0_114076_2019-08-10_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