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
2013-08-23 10:13:52	ga_ls7e_ard_3-0-0_100075_2013-08-23_final
2013-09-08 10:14:04	ga_ls7e_ard_3-0-0_100075_2013-09-08_final
2013-09-24 10:14:13	ga_ls7e_ard_3-0-0_100075_2013-09-24_final
2013-10-10 10:14:27	ga_ls7e_ard_3-0-0_100075_2013-10-10_final
2013-11-11 10:14:40	ga_ls7e_ard_3-0-0_100075_2013-11-11_final
2013-11-27 10:14:46	ga_ls7e_ard_3-0-0_100075_2013-11-27_final
2014-01-14 10:15:03	ga_ls7e_ard_3-0-0_100075_2014-01-14_final
2014-01-30 10:15:21	ga_ls7e_ard_3-0-0_100075_2014-01-30_final
2014-02-15 10:15:16	ga_ls7e_ard_3-0-0_100075_2014-02-15_final
2014-04-04 10:15:29	ga_ls7e_ard_3-0-0_100075_2014-04-04_final
2014-04-20 10:15:39	ga_ls7e_ard_3-0-0_100075_2014-04-20_final
2014-05-06 10:15:43	ga_ls7e_ard_3-0-0_100075_2014-05-06_final
2014-05-22 10:15:52	ga_ls7e_ard_3-0-0_100075_2014-05-22_final
2014-06-07 10:15:54	ga_ls7e_ard_3-0-0_100075_2014-06-07_final
2014-06-23 10:15:56	ga_ls7e_ard_3-0-0_100075_2014-06-23_final
2014-08-10 10:16:09	ga_ls7e_ard_3-0-0_100075_2014-08-10_final
2014-08-26 10:16:06	ga_ls7e_ard_3-0-0_100075_2014-08-26_final
2014-09-27 10:16:17	ga_ls7e_ard_3-0-0_100075_2014-09-27_final
2014-10-13 10:16:28	ga_ls7e_ard_3-0-0_100075_2014-10-13_final
2014-10-29 10:16:37	ga_ls7e_ard_3-0-0_100075_2014-10-29_final
2014-11-30 10:16:51	ga_ls7e_ard_3-0-0_100075_2014-11-30_final
2014-12-16 10:17:00	ga_ls7e_ard_3-0-0_100075_2014-12-16_final
2015-01-01 10:17:00	ga_ls7e_ard_3-0-0_100075_2015-01-01_final
2015-02-18 10:17:14	ga_ls7e_ard_3-0-0_100075_2015-02-18_final
2015-04-07 10:17:39	ga_ls7e_ard_3-0-0_100075_2015-04-07_final
2015-04-23 10:17:44	ga_ls7e_ard_3-0-0_100075_2015-04-23_final
2015-07-12 10:18:14	ga_ls7e_ard_3-0-0_100075_2015-07-12_final
2015-07-28 10:18:15	ga_ls7e_ard_3-0-0_100075_2015-07-28_final
2015-08-13 10:18:20	ga_ls7e_ard_3-0-0_100075_2015-08-13_final
2015-09-14 10:18:25	ga_ls7e_ard_3-0-0_100075_2015-09-14_final
2015-10-16 10:18:43	ga_ls7e_ard_3-0-0_100075_2015-10-16_final
2015-11-01 10:18:57	ga_ls7e_ard_3-0-0_100075_2015-11-01_final
2015-11-17 10:19:15	ga_ls7e_ard_3-0-0_100075_2015-11-17_final
2015-12-03 10:19:27	ga_ls7e_ard_3-0-0_100075_2015-12-03_final
2015-12-19 10:19:44	ga_ls7e_ard_3-0-0_100075_2015-12-19_final
2016-01-04 10:19:57	ga_ls7e_ard_3-0-0_100075_2016-01-04_final
2016-01-20 10:20:11	ga_ls7e_ard_3-0-0_100075_2016-01-20_final
2016-02-05 10:20:20	ga_ls7e_ard_3-0-0_100075_2016-02-05_final
2016-02-21 10:20:22	ga_ls7e_ard_3-0-0_100075_2016-02-21_final
2016-03-08 10:20:32	ga_ls7e_ard_3-0-0_100075_2016-03-08_final
2016-03-24 10:20:38	ga_ls7e_ard_3-0-0_100075_2016-03-24_final
2016-04-09 10:20:42	ga_ls7e_ard_3-0-0_100075_2016-04-09_final
2016-05-27 10:20:58	ga_ls7e_ard_3-0-0_100075_2016-05-27_final
2016-06-12 10:21:03	ga_ls7e_ard_3-0-0_100075_2016-06-12_final
2016-06-28 10:21:04	ga_ls7e_ard_3-0-0_100075_2016-06-28_final
2016-07-30 10:21:07	ga_ls7e_ard_3-0-0_100075_2016-07-30_final
2016-08-15 10:21:07	ga_ls7e_ard_3-0-0_100075_2016-08-15_final
2016-09-16 10:21:13	ga_ls7e_ard_3-0-0_100075_2016-09-16_final
2016-10-18 10:21:14	ga_ls7e_ard_3-0-0_100075_2016-10-18_final
2016-11-03 10:21:09	ga_ls7e_ard_3-0-0_100075_2016-11-03_final
2016-11-19 10:21:02	ga_ls7e_ard_3-0-0_100075_2016-11-19_final
2016-12-05 10:21:00	ga_ls7e_ard_3-0-0_100075_2016-12-05_final
2016-12-21 10:20:54	ga_ls7e_ard_3-0-0_100075_2016-12-21_final
2017-01-06 10:20:45	ga_ls7e_ard_3-0-0_100075_2017-01-06_final
2017-01-22 10:20:34	ga_ls7e_ard_3-0-0_100075_2017-01-22_final
2017-02-07 10:20:28	ga_ls7e_ard_3-0-0_100075_2017-02-07_final
2017-02-23 10:20:32	ga_ls7e_ard_3-0-0_100075_2017-02-23_final
2017-03-11 10:20:39	ga_ls7e_ard_3-0-0_100075_2017-03-11_final
2017-03-27 10:20:44	ga_ls7e_ard_3-0-0_100075_2017-03-27_final
2017-04-12 10:20:49	ga_ls7e_ard_3-0-0_100075_2017-04-12_final
2017-04-28 10:20:56	ga_ls7e_ard_3-0-0_100075_2017-04-28_final
2017-05-14 10:20:59	ga_ls7e_ard_3-0-0_100075_2017-05-14_final
2017-05-30 10:21:03	ga_ls7e_ard_3-0-0_100075_2017-05-30_final
2017-06-15 10:21:07	ga_ls7e_ard_3-0-0_100075_2017-06-15_final
2017-07-01 10:21:09	ga_ls7e_ard_3-0-0_100075_2017-07-01_final
2017-07-17 10:21:10	ga_ls7e_ard_3-0-0_100075_2017-07-17_final
2017-08-02 10:21:08	ga_ls7e_ard_3-0-0_100075_2017-08-02_final
2017-08-18 10:21:06	ga_ls7e_ard_3-0-0_100075_2017-08-18_final
2017-09-03 10:21:07	ga_ls7e_ard_3-0-0_100075_2017-09-03_final
2017-09-19 10:21:04	ga_ls7e_ard_3-0-0_100075_2017-09-19_final
2017-10-05 10:21:06	ga_ls7e_ard_3-0-0_100075_2017-10-05_final
2017-10-21 10:21:08	ga_ls7e_ard_3-0-0_100075_2017-10-21_final
2017-11-06 10:21:08	ga_ls7e_ard_3-0-0_100075_2017-11-06_final
2017-11-22 10:21:03	ga_ls7e_ard_3-0-0_100075_2017-11-22_final
2017-12-08 10:20:56	ga_ls7e_ard_3-0-0_100075_2017-12-08_final
2017-12-24 10:20:46	ga_ls7e_ard_3-0-0_100075_2017-12-24_final
2018-02-26 10:19:54	ga_ls7e_ard_3-0-0_100075_2018-02-26_final
2018-04-15 10:19:15	ga_ls7e_ard_3-0-0_100075_2018-04-15_final
2018-06-02 10:18:26	ga_ls7e_ard_3-0-0_100075_2018-06-02_final
2018-06-18 10:18:09	ga_ls7e_ard_3-0-0_100075_2018-06-18_final
2018-07-20 10:17:33	ga_ls7e_ard_3-0-0_100075_2018-07-20_final
2018-09-06 10:16:37	ga_ls7e_ard_3-0-0_100075_2018-09-06_final
2018-10-08 10:15:53	ga_ls7e_ard_3-0-0_100075_2018-10-08_final
2018-10-24 10:15:30	ga_ls7e_ard_3-0-0_100075_2018-10-24_final
2018-11-09 10:15:09	ga_ls7e_ard_3-0-0_100075_2018-11-09_final
2018-11-25 10:14:46	ga_ls7e_ard_3-0-0_100075_2018-11-25_final
2018-12-27 10:13:53	ga_ls7e_ard_3-0-0_100075_2018-12-27_final
2019-01-28 10:12:52	ga_ls7e_ard_3-0-0_100075_2019-01-28_final
2019-03-01 10:11:54	ga_ls7e_ard_3-1-0_100075_2019-03-01_final
2019-04-18 10:10:17	ga_ls7e_ard_3-0-0_100075_2019-04-18_final
2019-06-05 10:08:29	ga_ls7e_ard_3-0-0_100075_2019-06-05_final
2019-06-21 10:07:54	ga_ls7e_ard_3-0-0_100075_2019-06-21_final
2019-07-07 10:07:18	ga_ls7e_ard_3-0-0_100075_2019-07-07_final
2019-08-08 10:06:01	ga_ls7e_ard_3-0-0_100075_2019-08-08_final
2019-09-09 10:04:39	ga_ls7e_ard_3-1-0_100075_2019-09-09_final
2019-09-25 10:03:56	ga_ls7e_ard_3-1-0_100075_2019-09-25_final
2019-10-11 10:03:17	ga_ls7e_ard_3-1-0_100075_2019-10-11_final
2019-11-12 10:01:53	ga_ls7e_ard_3-1-0_100075_2019-11-12_final
2019-12-14 10:00:20	ga_ls7e_ard_3-1-0_100075_2019-12-14_final
2020-01-15 09:58:41	ga_ls7e_ard_3-1-0_100075_2020-01-15_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