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
2011-05-30 10:13:42	ga_ls7e_ard_3-0-0_100079_2011-05-30_final
2012-09-05 10:15:27	ga_ls7e_ard_3-0-0_100079_2012-09-05_final
2012-12-10 10:16:08	ga_ls7e_ard_3-0-0_100079_2012-12-10_final
2013-07-06 10:15:34	ga_ls7e_ard_3-0-0_100079_2013-07-06_final
2013-10-10 10:16:03	ga_ls7e_ard_3-0-0_100079_2013-10-10_final
2013-10-26 10:16:10	ga_ls7e_ard_3-0-0_100079_2013-10-26_final
2013-11-11 10:16:16	ga_ls7e_ard_3-0-0_100079_2013-11-11_final
2013-11-27 10:16:22	ga_ls7e_ard_3-0-0_100079_2013-11-27_final
2013-12-13 10:16:27	ga_ls7e_ard_3-0-0_100079_2013-12-13_final
2013-12-29 10:16:31	ga_ls7e_ard_3-0-0_100079_2013-12-29_final
2014-01-14 10:16:38	ga_ls7e_ard_3-0-0_100079_2014-01-14_final
2014-01-30 10:16:56	ga_ls7e_ard_3-0-0_100079_2014-01-30_final
2014-03-03 10:16:51	ga_ls7e_ard_3-0-0_100079_2014-03-03_final
2014-03-19 10:17:00	ga_ls7e_ard_3-0-0_100079_2014-03-19_final
2014-04-04 10:17:05	ga_ls7e_ard_3-0-0_100079_2014-04-04_final
2014-04-20 10:17:15	ga_ls7e_ard_3-0-0_100079_2014-04-20_final
2014-05-06 10:17:19	ga_ls7e_ard_3-0-0_100079_2014-05-06_final
2014-05-22 10:17:27	ga_ls7e_ard_3-0-0_100079_2014-05-22_final
2014-06-07 10:17:30	ga_ls7e_ard_3-0-0_100079_2014-06-07_final
2014-06-23 10:17:32	ga_ls7e_ard_3-0-0_100079_2014-06-23_final
2014-07-09 10:17:37	ga_ls7e_ard_3-0-0_100079_2014-07-09_final
2014-07-25 10:17:41	ga_ls7e_ard_3-0-0_100079_2014-07-25_final
2014-08-10 10:17:45	ga_ls7e_ard_3-0-0_100079_2014-08-10_final
2014-08-26 10:17:42	ga_ls7e_ard_3-0-0_100079_2014-08-26_final
2014-09-11 10:17:43	ga_ls7e_ard_3-0-0_100079_2014-09-11_final
2014-09-27 10:17:53	ga_ls7e_ard_3-0-0_100079_2014-09-27_final
2014-10-13 10:18:03	ga_ls7e_ard_3-0-0_100079_2014-10-13_final
2014-10-29 10:18:13	ga_ls7e_ard_3-0-0_100079_2014-10-29_final
2014-11-14 10:18:21	ga_ls7e_ard_3-0-0_100079_2014-11-14_final
2014-11-30 10:18:27	ga_ls7e_ard_3-0-0_100079_2014-11-30_final
2014-12-16 10:18:35	ga_ls7e_ard_3-0-0_100079_2014-12-16_final
2015-01-01 10:18:36	ga_ls7e_ard_3-0-0_100079_2015-01-01_final
2015-01-17 10:18:39	ga_ls7e_ard_3-0-0_100079_2015-01-17_final
2015-02-02 10:18:47	ga_ls7e_ard_3-0-0_100079_2015-02-02_final
2015-02-18 10:18:50	ga_ls7e_ard_3-0-0_100079_2015-02-18_final
2015-03-06 10:18:59	ga_ls7e_ard_3-0-0_100079_2015-03-06_final
2015-03-22 10:19:07	ga_ls7e_ard_3-0-0_100079_2015-03-22_final
2015-04-07 10:19:15	ga_ls7e_ard_3-0-0_100079_2015-04-07_final
2015-04-23 10:19:20	ga_ls7e_ard_3-0-0_100079_2015-04-23_final
2015-05-09 10:19:28	ga_ls7e_ard_3-0-0_100079_2015-05-09_final
2015-06-10 10:19:41	ga_ls7e_ard_3-0-0_100079_2015-06-10_final
2015-06-26 10:19:42	ga_ls7e_ard_3-0-0_100079_2015-06-26_final
2015-07-12 10:19:49	ga_ls7e_ard_3-0-0_100079_2015-07-12_final
2015-07-28 10:19:51	ga_ls7e_ard_3-0-0_100079_2015-07-28_final
2015-08-13 10:19:56	ga_ls7e_ard_3-0-0_100079_2015-08-13_final
2015-08-29 10:19:56	ga_ls7e_ard_3-0-0_100079_2015-08-29_final
2015-09-14 10:20:01	ga_ls7e_ard_3-0-0_100079_2015-09-14_final
2015-10-16 10:20:19	ga_ls7e_ard_3-0-0_100079_2015-10-16_final
2015-11-01 10:20:33	ga_ls7e_ard_3-0-0_100079_2015-11-01_final
2015-12-03 10:21:02	ga_ls7e_ard_3-0-0_100079_2015-12-03_final
2015-12-19 10:21:20	ga_ls7e_ard_3-0-0_100079_2015-12-19_final
2016-01-20 10:21:47	ga_ls7e_ard_3-0-0_100079_2016-01-20_final
2016-02-05 10:21:56	ga_ls7e_ard_3-0-0_100079_2016-02-05_final
2016-02-21 10:21:58	ga_ls7e_ard_3-0-0_100079_2016-02-21_final
2016-03-24 10:22:14	ga_ls7e_ard_3-0-0_100079_2016-03-24_final
2016-05-11 10:22:30	ga_ls7e_ard_3-0-0_100079_2016-05-11_final
2016-05-27 10:22:34	ga_ls7e_ard_3-0-0_100079_2016-05-27_final
2016-08-15 10:22:43	ga_ls7e_ard_3-0-0_100079_2016-08-15_final
2016-09-16 10:22:48	ga_ls7e_ard_3-0-0_100079_2016-09-16_final
2016-10-02 10:22:51	ga_ls7e_ard_3-0-0_100079_2016-10-02_final
2016-10-18 10:22:50	ga_ls7e_ard_3-0-0_100079_2016-10-18_final
2016-12-05 10:22:35	ga_ls7e_ard_3-0-0_100079_2016-12-05_final
2016-12-21 10:22:30	ga_ls7e_ard_3-0-0_100079_2016-12-21_final
2017-02-07 10:22:04	ga_ls7e_ard_3-0-0_100079_2017-02-07_final
2017-04-12 10:22:25	ga_ls7e_ard_3-0-0_100079_2017-04-12_final
2017-05-14 10:22:35	ga_ls7e_ard_3-0-0_100079_2017-05-14_final
2017-07-01 10:22:45	ga_ls7e_ard_3-0-0_100079_2017-07-01_final
2017-07-17 10:22:45	ga_ls7e_ard_3-0-0_100079_2017-07-17_final
2017-08-02 10:22:44	ga_ls7e_ard_3-0-0_100079_2017-08-02_final
2017-09-03 10:22:42	ga_ls7e_ard_3-0-0_100079_2017-09-03_final
2017-09-19 10:22:40	ga_ls7e_ard_3-0-0_100079_2017-09-19_final
2017-10-05 10:22:42	ga_ls7e_ard_3-0-0_100079_2017-10-05_final
2017-10-21 10:22:44	ga_ls7e_ard_3-0-0_100079_2017-10-21_final
2020-11-30 09:40:56	ga_ls7e_ard_3-1-0_100079_2020-11-30_final
2020-12-16 09:39:44	ga_ls7e_ard_3-1-0_100079_2020-12-16_final
2021-01-17 09:37:28	ga_ls7e_ard_3-1-0_100079_2021-01-17_final
2021-02-02 09:36:18	ga_ls7e_ard_3-2-0_100079_2021-02-02_final
2021-02-18 09:35:06	ga_ls7e_ard_3-2-0_100079_2021-02-18_final
2021-03-06 09:33:52	ga_ls7e_ard_3-2-0_100079_2021-03-06_final
2021-04-07 09:31:18	ga_ls7e_ard_3-2-0_100079_2021-04-07_final
2021-05-09 09:28:37	ga_ls7e_ard_3-2-0_100079_2021-05-08_final
2021-05-25 09:27:15	ga_ls7e_ard_3-2-0_100079_2021-05-24_final
2021-06-10 09:25:55	ga_ls7e_ard_3-2-0_100079_2021-06-09_final
2021-06-26 09:24:36	ga_ls7e_ard_3-2-0_100079_2021-06-25_final
2021-07-12 09:23:15	ga_ls7e_ard_3-2-0_100079_2021-07-11_final
2021-07-28 09:21:52	ga_ls7e_ard_3-2-0_100079_2021-07-27_final
2021-08-13 09:20:27	ga_ls7e_ard_3-2-0_100079_2021-08-12_final
2021-08-29 09:19:04	ga_ls7e_ard_3-2-0_100079_2021-08-28_final
2021-09-14 09:17:40	ga_ls7e_ard_3-2-0_100079_2021-09-13_final
2021-09-30 09:16:14	ga_ls7e_ard_3-2-0_100079_2021-09-29_final
2021-10-16 09:14:49	ga_ls7e_ard_3-2-0_100079_2021-10-15_final
2021-11-01 09:13:21	ga_ls7e_ard_3-2-0_100079_2021-10-31_final
2021-11-17 09:11:49	ga_ls7e_ard_3-2-1_100079_2021-11-16_final
2021-12-03 09:10:18	ga_ls7e_ard_3-2-1_100079_2021-12-02_final
2021-12-19 09:08:46	ga_ls7e_ard_3-2-1_100079_2021-12-18_final
2022-01-04 09:07:10	ga_ls7e_ard_3-2-1_100079_2022-01-03_final
2022-01-20 09:05:39	ga_ls7e_ard_3-2-1_100079_2022-01-19_final
2022-02-05 09:04:04	ga_ls7e_ard_3-2-1_100079_2022-02-04_final
2022-02-21 09:02:27	ga_ls7e_ard_3-2-1_100079_2022-02-20_final
2022-03-09 09:00:54	ga_ls7e_ard_3-2-1_100079_2022-03-08_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