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
2012-05-27 11:33:23	ga_ls7e_ard_3-0-0_113075_2012-05-27_final
2012-06-12 11:33:14	ga_ls7e_ard_3-0-0_113075_2012-06-12_final
2012-09-16 11:34:17	ga_ls7e_ard_3-0-0_113075_2012-09-16_final
2012-10-18 11:34:37	ga_ls7e_ard_3-0-0_113075_2012-10-18_final
2012-11-03 11:34:41	ga_ls7e_ard_3-0-0_113075_2012-11-03_final
2012-11-19 11:34:49	ga_ls7e_ard_3-0-0_113075_2012-11-19_final
2012-12-05 11:34:49	ga_ls7e_ard_3-0-0_113075_2012-12-05_final
2013-01-06 11:35:01	ga_ls7e_ard_3-0-0_113075_2013-01-06_final
2013-03-11 11:34:59	ga_ls7e_ard_3-0-0_113075_2013-03-11_final
2013-03-27 11:34:53	ga_ls7e_ard_3-0-0_113075_2013-03-27_final
2013-04-12 11:34:52	ga_ls7e_ard_3-0-0_113075_2013-04-12_final
2013-07-01 11:34:22	ga_ls7e_ard_3-0-0_113075_2013-07-01_final
2013-07-17 11:34:13	ga_ls7e_ard_3-0-0_113075_2013-07-17_final
2013-11-06 11:34:59	ga_ls7e_ard_3-0-0_113075_2013-11-06_final
2013-12-08 11:35:12	ga_ls7e_ard_3-0-0_113075_2013-12-08_final
2013-12-24 11:35:14	ga_ls7e_ard_3-0-0_113075_2013-12-24_final
2014-01-25 11:35:37	ga_ls7e_ard_3-0-0_113075_2014-01-25_final
2014-02-10 11:35:42	ga_ls7e_ard_3-0-0_113075_2014-02-10_final
2014-03-14 11:35:41	ga_ls7e_ard_3-0-0_113075_2014-03-14_final
2014-05-01 11:36:04	ga_ls7e_ard_3-0-0_113075_2014-05-01_final
2014-05-17 11:36:11	ga_ls7e_ard_3-0-0_113075_2014-05-17_final
2014-06-02 11:36:14	ga_ls7e_ard_3-0-0_113075_2014-06-02_final
2014-06-18 11:36:14	ga_ls7e_ard_3-0-0_113075_2014-06-18_final
2014-07-04 11:36:22	ga_ls7e_ard_3-0-0_113075_2014-07-04_final
2014-07-20 11:36:24	ga_ls7e_ard_3-0-0_113075_2014-07-20_final
2014-08-05 11:36:30	ga_ls7e_ard_3-0-0_113075_2014-08-05_final
2014-08-21 11:36:29	ga_ls7e_ard_3-0-0_113075_2014-08-21_final
2014-09-06 11:36:30	ga_ls7e_ard_3-0-0_113075_2014-09-06_final
2014-09-22 11:36:35	ga_ls7e_ard_3-0-0_113075_2014-09-22_final
2014-10-08 11:36:47	ga_ls7e_ard_3-0-0_113075_2014-10-08_final
2014-10-24 11:36:56	ga_ls7e_ard_3-0-0_113075_2014-10-24_final
2014-11-09 11:37:05	ga_ls7e_ard_3-0-0_113075_2014-11-09_final
2014-11-25 11:37:08	ga_ls7e_ard_3-0-0_113075_2014-11-25_final
2014-12-11 11:37:16	ga_ls7e_ard_3-0-0_113075_2014-12-11_final
2014-12-27 11:37:22	ga_ls7e_ard_3-0-0_113075_2014-12-27_final
2015-01-12 11:37:25	ga_ls7e_ard_3-0-0_113075_2015-01-12_final
2015-01-28 11:37:29	ga_ls7e_ard_3-0-0_113075_2015-01-28_final
2015-02-13 11:37:29	ga_ls7e_ard_3-0-0_113075_2015-02-13_final
2015-03-01 11:37:42	ga_ls7e_ard_3-0-0_113075_2015-03-01_final
2015-03-17 11:37:50	ga_ls7e_ard_3-0-0_113075_2015-03-17_final
2015-04-02 11:37:55	ga_ls7e_ard_3-0-0_113075_2015-04-02_final
2015-05-04 11:38:10	ga_ls7e_ard_3-0-0_113075_2015-05-04_final
2015-05-20 11:38:18	ga_ls7e_ard_3-0-0_113075_2015-05-20_final
2015-06-05 11:38:24	ga_ls7e_ard_3-0-0_113075_2015-06-05_final
2015-06-21 11:38:27	ga_ls7e_ard_3-0-0_113075_2015-06-21_final
2015-07-07 11:38:32	ga_ls7e_ard_3-0-0_113075_2015-07-07_final
2015-07-23 11:38:36	ga_ls7e_ard_3-0-0_113075_2015-07-23_final
2015-08-08 11:38:40	ga_ls7e_ard_3-0-0_113075_2015-08-08_final
2015-08-24 11:38:42	ga_ls7e_ard_3-0-0_113075_2015-08-24_final
2015-09-09 11:38:44	ga_ls7e_ard_3-0-0_113075_2015-09-09_final
2015-09-25 11:38:49	ga_ls7e_ard_3-0-0_113075_2015-09-25_final
2015-10-11 11:38:58	ga_ls7e_ard_3-0-0_113075_2015-10-11_final
2015-10-27 11:39:14	ga_ls7e_ard_3-0-0_113075_2015-10-27_final
2015-11-12 11:39:30	ga_ls7e_ard_3-0-0_113075_2015-11-12_final
2015-11-28 11:39:44	ga_ls7e_ard_3-0-0_113075_2015-11-28_final
2015-12-14 11:40:00	ga_ls7e_ard_3-0-0_113075_2015-12-14_final
2015-12-30 11:40:13	ga_ls7e_ard_3-0-0_113075_2015-12-30_final
2016-01-15 11:40:28	ga_ls7e_ard_3-0-0_113075_2016-01-15_final
2016-01-31 11:40:39	ga_ls7e_ard_3-0-0_113075_2016-01-31_final
2016-02-16 11:40:43	ga_ls7e_ard_3-0-0_113075_2016-02-16_final
2016-03-03 11:40:49	ga_ls7e_ard_3-0-0_113075_2016-03-03_final
2016-03-19 11:40:58	ga_ls7e_ard_3-0-0_113075_2016-03-19_final
2016-04-04 11:41:01	ga_ls7e_ard_3-0-0_113075_2016-04-04_final
2016-04-20 11:41:09	ga_ls7e_ard_3-0-0_113075_2016-04-20_final
2016-05-22 11:41:17	ga_ls7e_ard_3-0-0_113075_2016-05-22_final
2016-07-09 11:41:24	ga_ls7e_ard_3-0-0_113075_2016-07-09_final
2016-07-25 11:41:26	ga_ls7e_ard_3-0-0_113075_2016-07-25_final
2016-08-10 11:41:28	ga_ls7e_ard_3-0-0_113075_2016-08-10_final
2016-10-13 11:41:36	ga_ls7e_ard_3-0-0_113075_2016-10-13_final
2016-10-29 11:41:32	ga_ls7e_ard_3-0-0_113075_2016-10-29_final
2016-11-14 11:41:24	ga_ls7e_ard_3-0-0_113075_2016-11-14_final
2016-11-30 11:41:21	ga_ls7e_ard_3-0-0_113075_2016-11-30_final
2016-12-16 11:41:17	ga_ls7e_ard_3-0-0_113075_2016-12-16_final
2017-01-01 11:41:08	ga_ls7e_ard_3-0-0_113075_2017-01-01_final
2017-01-17 11:40:58	ga_ls7e_ard_3-0-0_113075_2017-01-17_final
2017-02-02 11:40:50	ga_ls7e_ard_3-0-0_113075_2017-02-02_final
2017-02-18 11:40:50	ga_ls7e_ard_3-0-0_113075_2017-02-18_final
2017-03-06 11:40:58	ga_ls7e_ard_3-0-0_113075_2017-03-06_final
2017-04-07 11:41:07	ga_ls7e_ard_3-0-0_113075_2017-04-07_final
2017-04-23 11:41:15	ga_ls7e_ard_3-0-0_113075_2017-04-23_final
2017-05-09 11:41:19	ga_ls7e_ard_3-0-0_113075_2017-05-09_final
2017-06-10 11:41:26	ga_ls7e_ard_3-0-0_113075_2017-06-10_final
2017-06-26 11:41:29	ga_ls7e_ard_3-0-0_113075_2017-06-26_final
2017-07-12 11:41:30	ga_ls7e_ard_3-0-0_113075_2017-07-12_final
2017-07-28 11:41:29	ga_ls7e_ard_3-0-0_113075_2017-07-28_final
2017-08-29 11:41:27	ga_ls7e_ard_3-0-0_113075_2017-08-29_final
2017-09-14 11:41:26	ga_ls7e_ard_3-0-0_113075_2017-09-14_final
2017-10-16 11:41:29	ga_ls7e_ard_3-0-0_113075_2017-10-16_final
2017-12-19 11:41:10	ga_ls7e_ard_3-0-0_113075_2017-12-19_final
2018-01-04 11:40:58	ga_ls7e_ard_3-0-0_113075_2018-01-04_final
2018-01-20 11:40:44	ga_ls7e_ard_3-0-0_113075_2018-01-20_final
2018-02-05 11:40:28	ga_ls7e_ard_3-0-0_113075_2018-02-05_final
2018-03-09 11:40:07	ga_ls7e_ard_3-0-0_113075_2018-03-09_final
2018-04-10 11:39:40	ga_ls7e_ard_3-0-0_113075_2018-04-10_final
2018-04-26 11:39:24	ga_ls7e_ard_3-0-0_113075_2018-04-26_final
2018-06-13 11:38:35	ga_ls7e_ard_3-0-0_113075_2018-06-13_final
2018-07-15 11:37:58	ga_ls7e_ard_3-0-0_113075_2018-07-15_final
2022-02-16 10:21:40	ga_ls7e_ard_3-2-1_113075_2022-02-16_final
2022-03-04 10:20:08	ga_ls7e_ard_3-2-1_113075_2022-03-04_final
2022-03-20 10:18:33	ga_ls7e_ard_3-2-1_113075_2022-03-20_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