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
2011-12-16 11:01:21	ga_ls7e_ard_3-0-0_108074_2011-12-16_final
2012-01-01 11:01:33	ga_ls7e_ard_3-0-0_108074_2012-01-01_final
2012-03-21 11:01:40	ga_ls7e_ard_3-0-0_108074_2012-03-21_final
2012-04-22 11:01:45	ga_ls7e_ard_3-0-0_108074_2012-04-22_final
2012-05-08 11:02:09	ga_ls7e_ard_3-0-0_108074_2012-05-08_final
2012-06-09 11:01:54	ga_ls7e_ard_3-0-0_108074_2012-06-09_final
2012-06-25 11:02:02	ga_ls7e_ard_3-0-0_108074_2012-06-25_final
2012-07-11 11:02:16	ga_ls7e_ard_3-0-0_108074_2012-07-11_final
2012-08-12 11:02:39	ga_ls7e_ard_3-0-0_108074_2012-08-12_final
2012-08-28 11:02:47	ga_ls7e_ard_3-0-0_108074_2012-08-28_final
2012-09-13 11:02:58	ga_ls7e_ard_3-0-0_108074_2012-09-13_final
2012-09-29 11:03:08	ga_ls7e_ard_3-0-0_108074_2012-09-29_final
2012-10-31 11:03:23	ga_ls7e_ard_3-0-0_108074_2012-10-31_final
2012-12-18 11:03:39	ga_ls7e_ard_3-0-0_108074_2012-12-18_final
2013-01-19 11:03:42	ga_ls7e_ard_3-0-0_108074_2013-01-19_final
2013-02-04 11:03:45	ga_ls7e_ard_3-0-0_108074_2013-02-04_final
2013-03-08 11:03:41	ga_ls7e_ard_3-0-0_108074_2013-03-08_final
2013-03-24 11:03:36	ga_ls7e_ard_3-0-0_108074_2013-03-24_final
2013-04-25 11:03:27	ga_ls7e_ard_3-0-0_108074_2013-04-25_final
2013-05-11 11:03:25	ga_ls7e_ard_3-0-0_108074_2013-05-11_final
2013-05-27 11:03:21	ga_ls7e_ard_3-0-0_108074_2013-05-27_final
2013-06-12 11:03:13	ga_ls7e_ard_3-0-0_108074_2013-06-12_final
2013-11-03 11:03:38	ga_ls7e_ard_3-0-0_108074_2013-11-03_final
2014-01-06 11:03:59	ga_ls7e_ard_3-0-0_108074_2014-01-06_final
2014-02-07 11:04:26	ga_ls7e_ard_3-0-0_108074_2014-02-07_final
2014-03-27 11:04:29	ga_ls7e_ard_3-0-0_108074_2014-03-27_final
2014-04-12 11:04:34	ga_ls7e_ard_3-0-0_108074_2014-04-12_final
2014-04-28 11:04:45	ga_ls7e_ard_3-0-0_108074_2014-04-28_final
2014-05-30 11:04:55	ga_ls7e_ard_3-0-0_108074_2014-05-30_final
2014-06-15 11:04:57	ga_ls7e_ard_3-0-0_108074_2014-06-15_final
2014-07-01 11:05:03	ga_ls7e_ard_3-0-0_108074_2014-07-01_final
2014-07-17 11:05:04	ga_ls7e_ard_3-0-0_108074_2014-07-17_final
2014-08-18 11:05:11	ga_ls7e_ard_3-0-0_108074_2014-08-18_final
2014-09-03 11:05:11	ga_ls7e_ard_3-0-0_108074_2014-09-03_final
2014-09-19 11:05:15	ga_ls7e_ard_3-0-0_108074_2014-09-19_final
2014-10-05 11:05:27	ga_ls7e_ard_3-0-0_108074_2014-10-05_final
2014-10-21 11:05:36	ga_ls7e_ard_3-0-0_108074_2014-10-21_final
2014-11-06 11:05:46	ga_ls7e_ard_3-0-0_108074_2014-11-06_final
2014-12-08 11:05:56	ga_ls7e_ard_3-0-0_108074_2014-12-08_final
2014-12-24 11:06:05	ga_ls7e_ard_3-0-0_108074_2014-12-24_final
2015-01-25 11:06:09	ga_ls7e_ard_3-0-0_108074_2015-01-25_final
2015-02-10 11:06:14	ga_ls7e_ard_3-0-0_108074_2015-02-10_final
2015-02-26 11:06:23	ga_ls7e_ard_3-0-0_108074_2015-02-26_final
2015-03-14 11:06:29	ga_ls7e_ard_3-0-0_108074_2015-03-14_final
2015-03-30 11:06:36	ga_ls7e_ard_3-0-0_108074_2015-03-30_final
2015-04-15 11:06:46	ga_ls7e_ard_3-0-0_108074_2015-04-15_final
2015-05-01 11:06:51	ga_ls7e_ard_3-0-0_108074_2015-05-01_final
2015-05-17 11:07:00	ga_ls7e_ard_3-0-0_108074_2015-05-17_final
2015-06-02 11:07:04	ga_ls7e_ard_3-0-0_108074_2015-06-02_final
2015-06-18 11:07:09	ga_ls7e_ard_3-0-0_108074_2015-06-18_final
2015-07-04 11:07:13	ga_ls7e_ard_3-0-0_108074_2015-07-04_final
2015-07-20 11:07:18	ga_ls7e_ard_3-0-0_108074_2015-07-20_final
2015-08-05 11:07:21	ga_ls7e_ard_3-0-0_108074_2015-08-05_final
2015-08-21 11:07:24	ga_ls7e_ard_3-0-0_108074_2015-08-21_final
2015-09-06 11:07:25	ga_ls7e_ard_3-0-0_108074_2015-09-06_final
2015-09-22 11:07:30	ga_ls7e_ard_3-0-0_108074_2015-09-22_final
2015-10-08 11:07:36	ga_ls7e_ard_3-0-0_108074_2015-10-08_final
2015-10-24 11:07:54	ga_ls7e_ard_3-0-0_108074_2015-10-24_final
2015-11-09 11:08:08	ga_ls7e_ard_3-0-0_108074_2015-11-09_final
2015-12-11 11:08:39	ga_ls7e_ard_3-0-0_108074_2015-12-11_final
2015-12-27 11:08:52	ga_ls7e_ard_3-0-0_108074_2015-12-27_final
2016-02-13 11:09:25	ga_ls7e_ard_3-0-0_108074_2016-02-13_final
2016-03-16 11:09:39	ga_ls7e_ard_3-0-0_108074_2016-03-16_final
2016-04-01 11:09:42	ga_ls7e_ard_3-0-0_108074_2016-04-01_final
2016-04-17 11:09:49	ga_ls7e_ard_3-0-0_108074_2016-04-17_final
2016-06-04 11:10:03	ga_ls7e_ard_3-0-0_108074_2016-06-04_final
2016-06-20 11:10:06	ga_ls7e_ard_3-0-0_108074_2016-06-20_final
2016-07-06 11:10:06	ga_ls7e_ard_3-0-0_108074_2016-07-06_final
2016-08-07 11:10:10	ga_ls7e_ard_3-0-0_108074_2016-08-07_final
2016-08-23 11:10:12	ga_ls7e_ard_3-0-0_108074_2016-08-23_final
2016-09-08 11:10:15	ga_ls7e_ard_3-0-0_108074_2016-09-08_final
2016-09-24 11:10:17	ga_ls7e_ard_3-0-0_108074_2016-09-24_final
2016-11-11 11:10:07	ga_ls7e_ard_3-0-0_108074_2016-11-11_final
2017-04-04 11:09:48	ga_ls7e_ard_3-0-0_108074_2017-04-04_final
2017-07-25 11:10:12	ga_ls7e_ard_3-0-0_108074_2017-07-25_final
2018-03-22 11:08:39	ga_ls7e_ard_3-0-0_108074_2018-03-22_final
2018-09-30 11:05:07	ga_ls7e_ard_3-0-0_108074_2018-09-30_final
2019-01-04 11:02:41	ga_ls7e_ard_3-0-0_108074_2019-01-04_final
2021-01-09 10:25:28	ga_ls7e_ard_3-1-0_108074_2021-01-09_final
2021-01-25 10:24:20	ga_ls7e_ard_3-2-0_108074_2021-01-25_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-03-30 10:19:24	ga_ls7e_ard_3-2-0_108074_2021-03-30_final
2021-04-15 10:18:04	ga_ls7e_ard_3-2-0_108074_2021-04-15_final
2021-05-01 10:16:43	ga_ls7e_ard_3-2-0_108074_2021-05-01_final
2021-05-17 10:15:23	ga_ls7e_ard_3-2-0_108074_2021-05-17_final
2021-06-02 10:14:00	ga_ls7e_ard_3-2-0_108074_2021-06-02_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-20 10:10:01	ga_ls7e_ard_3-2-0_108074_2021-07-20_final
2021-08-21 10:07:12	ga_ls7e_ard_3-2-0_108074_2021-08-21_final
2021-09-06 10:05:49	ga_ls7e_ard_3-2-0_108074_2021-09-06_final
2021-09-22 10:04:23	ga_ls7e_ard_3-2-0_108074_2021-09-22_final
2021-10-08 10:02:58	ga_ls7e_ard_3-2-0_108074_2021-10-08_final
2021-10-24 10:01:32	ga_ls7e_ard_3-2-0_108074_2021-10-24_final
2021-11-09 10:00:02	ga_ls7e_ard_3-2-0_108074_2021-11-09_final
2021-11-25 09:58:29	ga_ls7e_ard_3-2-1_108074_2021-11-25_final
2021-12-11 09:56:59	ga_ls7e_ard_3-2-1_108074_2021-12-11_final
2021-12-27 09:55:25	ga_ls7e_ard_3-2-1_108074_2021-12-27_final
2022-01-12 09:53:51	ga_ls7e_ard_3-2-1_108074_2022-01-12_final
2022-02-13 09:50:41	ga_ls7e_ard_3-2-1_108074_2022-02-13_final
2022-03-17 09:47:32	ga_ls7e_ard_3-2-1_108074_2022-03-17_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