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
2013-02-25 09:48:08	ga_ls7e_ard_3-0-0_095086_2013-02-25_final
2013-03-13 09:48:08	ga_ls7e_ard_3-0-0_095086_2013-03-13_final
2013-04-14 09:48:00	ga_ls7e_ard_3-0-0_095086_2013-04-14_final
2013-04-30 09:47:54	ga_ls7e_ard_3-0-0_095086_2013-04-30_final
2013-05-16 09:47:52	ga_ls7e_ard_3-0-0_095086_2013-05-16_final
2013-06-17 09:47:39	ga_ls7e_ard_3-0-0_095086_2013-06-17_final
2013-09-21 09:47:41	ga_ls7e_ard_3-0-0_095086_2013-09-21_final
2013-10-07 09:47:54	ga_ls7e_ard_3-0-0_095086_2013-10-07_final
2013-12-26 09:48:24	ga_ls7e_ard_3-0-0_095086_2013-12-26_final
2014-01-11 09:48:27	ga_ls7e_ard_3-0-0_095086_2014-01-11_final
2014-02-12 09:48:49	ga_ls7e_ard_3-0-0_095086_2014-02-12_final
2014-02-28 09:48:42	ga_ls7e_ard_3-0-0_095086_2014-02-28_final
2014-04-17 09:49:05	ga_ls7e_ard_3-0-0_095086_2014-04-17_final
2014-05-03 09:49:13	ga_ls7e_ard_3-0-0_095086_2014-05-03_final
2014-05-19 09:49:20	ga_ls7e_ard_3-0-0_095086_2014-05-19_final
2014-06-20 09:49:24	ga_ls7e_ard_3-0-0_095086_2014-06-20_final
2014-07-06 09:49:31	ga_ls7e_ard_3-0-0_095086_2014-07-06_final
2014-07-22 09:49:33	ga_ls7e_ard_3-0-0_095086_2014-07-22_final
2014-09-08 09:49:38	ga_ls7e_ard_3-0-0_095086_2014-09-08_final
2014-11-11 09:50:15	ga_ls7e_ard_3-0-0_095086_2014-11-11_final
2014-11-27 09:50:18	ga_ls7e_ard_3-0-0_095086_2014-11-27_final
2014-12-29 09:50:30	ga_ls7e_ard_3-0-0_095086_2014-12-29_final
2015-01-30 09:50:39	ga_ls7e_ard_3-0-0_095086_2015-01-30_final
2015-02-15 09:50:40	ga_ls7e_ard_3-0-0_095086_2015-02-15_final
2015-03-03 09:50:52	ga_ls7e_ard_3-0-0_095086_2015-03-03_final
2015-03-19 09:51:00	ga_ls7e_ard_3-0-0_095086_2015-03-19_final
2015-04-04 09:51:06	ga_ls7e_ard_3-0-0_095086_2015-04-04_final
2015-04-20 09:51:13	ga_ls7e_ard_3-0-0_095086_2015-04-20_final
2015-05-06 09:51:19	ga_ls7e_ard_3-0-0_095086_2015-05-06_final
2015-05-22 09:51:27	ga_ls7e_ard_3-0-0_095086_2015-05-22_final
2015-06-07 09:51:34	ga_ls7e_ard_3-0-0_095086_2015-06-07_final
2015-06-23 09:51:36	ga_ls7e_ard_3-0-0_095086_2015-06-23_final
2015-07-25 09:51:45	ga_ls7e_ard_3-0-0_095086_2015-07-25_final
2015-08-10 09:51:49	ga_ls7e_ard_3-0-0_095086_2015-08-10_final
2015-08-26 09:51:50	ga_ls7e_ard_3-0-0_095086_2015-08-26_final
2015-10-13 09:52:09	ga_ls7e_ard_3-0-0_095086_2015-10-13_final
2015-10-29 09:52:24	ga_ls7e_ard_3-0-0_095086_2015-10-29_final
2015-11-30 09:52:54	ga_ls7e_ard_3-0-0_095086_2015-11-30_final
2015-12-16 09:53:11	ga_ls7e_ard_3-0-0_095086_2015-12-16_final
2016-01-17 09:53:39	ga_ls7e_ard_3-0-0_095086_2016-01-17_final
2016-02-18 09:53:52	ga_ls7e_ard_3-0-0_095086_2016-02-18_final
2016-03-05 09:53:59	ga_ls7e_ard_3-0-0_095086_2016-03-05_final
2016-03-21 09:54:07	ga_ls7e_ard_3-0-0_095086_2016-03-21_final
2016-05-24 09:54:26	ga_ls7e_ard_3-0-0_095086_2016-05-24_final
2016-06-25 09:54:33	ga_ls7e_ard_3-0-0_095086_2016-06-25_final
2016-07-27 09:54:35	ga_ls7e_ard_3-0-0_095086_2016-07-27_final
2016-08-12 09:54:37	ga_ls7e_ard_3-0-0_095086_2016-08-12_final
2016-08-28 09:54:40	ga_ls7e_ard_3-0-0_095086_2016-08-28_final
2016-10-15 09:54:44	ga_ls7e_ard_3-0-0_095086_2016-10-15_final
2016-11-16 09:54:31	ga_ls7e_ard_3-0-0_095086_2016-11-16_final
2016-12-02 09:54:30	ga_ls7e_ard_3-0-0_095086_2016-12-02_final
2017-01-03 09:54:16	ga_ls7e_ard_3-0-0_095086_2017-01-03_final
2017-01-19 09:54:05	ga_ls7e_ard_3-0-0_095086_2017-01-19_final
2017-02-04 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-04_final
2017-02-20 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-20_final
2017-03-08 09:54:07	ga_ls7e_ard_3-0-0_095086_2017-03-08_final
2017-03-24 09:54:12	ga_ls7e_ard_3-0-0_095086_2017-03-24_final
2017-04-09 09:54:17	ga_ls7e_ard_3-0-0_095086_2017-04-09_final
2017-05-27 09:54:31	ga_ls7e_ard_3-0-0_095086_2017-05-27_final
2017-06-12 09:54:36	ga_ls7e_ard_3-0-0_095086_2017-06-12_final
2017-06-28 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-06-28_final
2017-07-14 09:54:39	ga_ls7e_ard_3-0-0_095086_2017-07-14_final
2017-07-30 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-07-30_final
2017-08-31 09:54:36	ga_ls7e_ard_3-0-0_095086_2017-08-31_final
2017-09-16 09:54:34	ga_ls7e_ard_3-0-0_095086_2017-09-16_final
2017-10-18 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-10-18_final
2017-11-03 09:54:37	ga_ls7e_ard_3-0-0_095086_2017-11-03_final
2018-01-22 09:53:51	ga_ls7e_ard_3-0-0_095086_2018-01-22_final
2018-02-23 09:53:26	ga_ls7e_ard_3-0-0_095086_2018-02-23_final
2018-03-11 09:53:15	ga_ls7e_ard_3-0-0_095086_2018-03-11_final
2018-04-12 09:52:47	ga_ls7e_ard_3-0-0_095086_2018-04-12_final
2018-04-28 09:52:30	ga_ls7e_ard_3-0-0_095086_2018-04-28_final
2018-05-14 09:52:14	ga_ls7e_ard_3-0-0_095086_2018-05-14_final
2018-05-30 09:51:59	ga_ls7e_ard_3-0-0_095086_2018-05-30_final
2018-06-15 09:51:42	ga_ls7e_ard_3-0-0_095086_2018-06-15_final
2018-07-01 09:51:23	ga_ls7e_ard_3-0-0_095086_2018-07-01_final
2018-07-17 09:51:05	ga_ls7e_ard_3-0-0_095086_2018-07-17_final
2018-08-02 09:50:48	ga_ls7e_ard_3-0-0_095086_2018-08-02_final
2019-05-01 09:43:17	ga_ls7e_ard_3-0-0_095086_2019-05-01_final
2019-05-17 09:42:40	ga_ls7e_ard_3-0-0_095086_2019-05-17_final
2019-06-18 09:41:30	ga_ls7e_ard_3-0-0_095086_2019-06-18_final
2019-10-08 09:36:54	ga_ls7e_ard_3-1-0_095086_2019-10-08_final
2020-08-07 09:20:27	ga_ls7e_ard_3-1-0_095086_2020-08-06_final
2021-02-15 09:07:14	ga_ls7e_ard_3-2-0_095086_2021-02-14_final
2021-03-03 09:06:00	ga_ls7e_ard_3-2-0_095086_2021-03-02_final
2021-03-19 09:04:44	ga_ls7e_ard_3-2-0_095086_2021-03-18_final
2021-04-04 09:03:26	ga_ls7e_ard_3-2-0_095086_2021-04-03_final
2021-05-06 09:00:45	ga_ls7e_ard_3-2-0_095086_2021-05-05_final
2021-05-22 08:59:24	ga_ls7e_ard_3-2-0_095086_2021-05-21_final
2021-06-07 08:58:03	ga_ls7e_ard_3-2-0_095086_2021-06-06_final
2021-07-09 08:55:24	ga_ls7e_ard_3-2-0_095086_2021-07-08_final
2021-07-25 08:54:02	ga_ls7e_ard_3-2-0_095086_2021-07-24_final
2021-08-10 08:52:37	ga_ls7e_ard_3-2-0_095086_2021-08-09_final
2021-09-27 08:48:23	ga_ls7e_ard_3-2-0_095086_2021-09-26_final
2021-10-13 08:46:59	ga_ls7e_ard_3-2-0_095086_2021-10-12_final
2021-11-14 08:44:00	ga_ls7e_ard_3-2-1_095086_2021-11-13_final
2021-11-30 08:42:28	ga_ls7e_ard_3-2-1_095086_2021-11-29_final
2021-12-16 08:40:57	ga_ls7e_ard_3-2-1_095086_2021-12-15_final
2022-01-01 08:39:22	ga_ls7e_ard_3-2-1_095086_2021-12-31_final
2022-01-17 08:37:50	ga_ls7e_ard_3-2-1_095086_2022-01-16_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years