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
2013-09-16 11:01:36	ga_ls7e_ard_3-0-0_108070_2013-09-16_final
2013-10-02 11:01:46	ga_ls7e_ard_3-0-0_108070_2013-10-02_final
2013-10-18 11:01:59	ga_ls7e_ard_3-0-0_108070_2013-10-18_final
2013-11-03 11:02:03	ga_ls7e_ard_3-0-0_108070_2013-11-03_final
2013-11-19 11:02:07	ga_ls7e_ard_3-0-0_108070_2013-11-19_final
2013-12-05 11:02:17	ga_ls7e_ard_3-0-0_108070_2013-12-05_final
2013-12-21 11:02:18	ga_ls7e_ard_3-0-0_108070_2013-12-21_final
2014-01-22 11:02:40	ga_ls7e_ard_3-0-0_108070_2014-01-22_final
2014-02-07 11:02:50	ga_ls7e_ard_3-0-0_108070_2014-02-07_final
2014-02-23 11:02:39	ga_ls7e_ard_3-0-0_108070_2014-02-23_final
2014-03-11 11:02:46	ga_ls7e_ard_3-0-0_108070_2014-03-11_final
2014-03-27 11:02:53	ga_ls7e_ard_3-0-0_108070_2014-03-27_final
2014-04-12 11:02:59	ga_ls7e_ard_3-0-0_108070_2014-04-12_final
2014-04-28 11:03:10	ga_ls7e_ard_3-0-0_108070_2014-04-28_final
2014-05-14 11:03:15	ga_ls7e_ard_3-0-0_108070_2014-05-14_final
2014-05-30 11:03:20	ga_ls7e_ard_3-0-0_108070_2014-05-30_final
2014-06-15 11:03:21	ga_ls7e_ard_3-0-0_108070_2014-06-15_final
2014-07-01 11:03:27	ga_ls7e_ard_3-0-0_108070_2014-07-01_final
2014-07-17 11:03:28	ga_ls7e_ard_3-0-0_108070_2014-07-17_final
2014-08-02 11:03:35	ga_ls7e_ard_3-0-0_108070_2014-08-02_final
2014-08-18 11:03:35	ga_ls7e_ard_3-0-0_108070_2014-08-18_final
2014-09-03 11:03:35	ga_ls7e_ard_3-0-0_108070_2014-09-03_final
2014-09-19 11:03:39	ga_ls7e_ard_3-0-0_108070_2014-09-19_final
2014-10-05 11:03:52	ga_ls7e_ard_3-0-0_108070_2014-10-05_final
2014-10-21 11:04:00	ga_ls7e_ard_3-0-0_108070_2014-10-21_final
2014-11-06 11:04:10	ga_ls7e_ard_3-0-0_108070_2014-11-06_final
2014-12-08 11:04:20	ga_ls7e_ard_3-0-0_108070_2014-12-08_final
2014-12-24 11:04:29	ga_ls7e_ard_3-0-0_108070_2014-12-24_final
2015-01-09 11:04:31	ga_ls7e_ard_3-0-0_108070_2015-01-09_final
2015-01-25 11:04:33	ga_ls7e_ard_3-0-0_108070_2015-01-25_final
2015-02-10 11:04:38	ga_ls7e_ard_3-0-0_108070_2015-02-10_final
2015-03-14 11:04:53	ga_ls7e_ard_3-0-0_108070_2015-03-14_final
2015-03-30 11:05:00	ga_ls7e_ard_3-0-0_108070_2015-03-30_final
2015-04-15 11:05:10	ga_ls7e_ard_3-0-0_108070_2015-04-15_final
2015-05-01 11:05:15	ga_ls7e_ard_3-0-0_108070_2015-05-01_final
2015-05-17 11:05:24	ga_ls7e_ard_3-0-0_108070_2015-05-17_final
2015-06-02 11:05:28	ga_ls7e_ard_3-0-0_108070_2015-06-02_final
2015-06-18 11:05:34	ga_ls7e_ard_3-0-0_108070_2015-06-18_final
2015-07-04 11:05:37	ga_ls7e_ard_3-0-0_108070_2015-07-04_final
2015-07-20 11:05:42	ga_ls7e_ard_3-0-0_108070_2015-07-20_final
2015-08-05 11:05:45	ga_ls7e_ard_3-0-0_108070_2015-08-05_final
2015-08-21 11:05:48	ga_ls7e_ard_3-0-0_108070_2015-08-21_final
2015-09-06 11:05:49	ga_ls7e_ard_3-0-0_108070_2015-09-06_final
2015-09-22 11:05:54	ga_ls7e_ard_3-0-0_108070_2015-09-22_final
2015-10-08 11:06:00	ga_ls7e_ard_3-0-0_108070_2015-10-08_final
2015-10-24 11:06:18	ga_ls7e_ard_3-0-0_108070_2015-10-24_final
2015-11-09 11:06:33	ga_ls7e_ard_3-0-0_108070_2015-11-09_final
2015-11-25 11:06:48	ga_ls7e_ard_3-0-0_108070_2015-11-25_final
2015-12-11 11:07:03	ga_ls7e_ard_3-0-0_108070_2015-12-11_final
2015-12-27 11:07:16	ga_ls7e_ard_3-0-0_108070_2015-12-27_final
2016-01-12 11:07:32	ga_ls7e_ard_3-0-0_108070_2016-01-12_final
2016-01-28 11:07:43	ga_ls7e_ard_3-0-0_108070_2016-01-28_final
2016-02-13 11:07:49	ga_ls7e_ard_3-0-0_108070_2016-02-13_final
2016-03-16 11:08:03	ga_ls7e_ard_3-0-0_108070_2016-03-16_final
2016-04-01 11:08:07	ga_ls7e_ard_3-0-0_108070_2016-04-01_final
2016-04-17 11:08:14	ga_ls7e_ard_3-0-0_108070_2016-04-17_final
2016-05-03 11:08:20	ga_ls7e_ard_3-0-0_108070_2016-05-03_final
2016-05-19 11:08:21	ga_ls7e_ard_3-0-0_108070_2016-05-19_final
2016-06-04 11:08:28	ga_ls7e_ard_3-0-0_108070_2016-06-04_final
2016-06-20 11:08:30	ga_ls7e_ard_3-0-0_108070_2016-06-20_final
2016-07-06 11:08:31	ga_ls7e_ard_3-0-0_108070_2016-07-06_final
2016-07-22 11:08:32	ga_ls7e_ard_3-0-0_108070_2016-07-22_final
2016-08-07 11:08:34	ga_ls7e_ard_3-0-0_108070_2016-08-07_final
2016-08-23 11:08:36	ga_ls7e_ard_3-0-0_108070_2016-08-23_final
2016-09-08 11:08:39	ga_ls7e_ard_3-0-0_108070_2016-09-08_final
2016-09-24 11:08:41	ga_ls7e_ard_3-0-0_108070_2016-09-24_final
2016-10-10 11:08:42	ga_ls7e_ard_3-0-0_108070_2016-10-10_final
2016-10-26 11:08:39	ga_ls7e_ard_3-0-0_108070_2016-10-26_final
2016-11-11 11:08:32	ga_ls7e_ard_3-0-0_108070_2016-11-11_final
2016-11-27 11:08:28	ga_ls7e_ard_3-0-0_108070_2016-11-27_final
2016-12-13 11:08:24	ga_ls7e_ard_3-0-0_108070_2016-12-13_final
2016-12-29 11:08:17	ga_ls7e_ard_3-0-0_108070_2016-12-29_final
2017-01-14 11:08:06	ga_ls7e_ard_3-0-0_108070_2017-01-14_final
2017-01-30 11:07:57	ga_ls7e_ard_3-0-0_108070_2017-01-30_final
2017-02-15 11:07:54	ga_ls7e_ard_3-0-0_108070_2017-02-15_final
2017-03-03 11:08:03	ga_ls7e_ard_3-0-0_108070_2017-03-03_final
2017-04-04 11:08:12	ga_ls7e_ard_3-0-0_108070_2017-04-04_final
2017-04-20 11:08:20	ga_ls7e_ard_3-0-0_108070_2017-04-20_final
2017-05-06 11:08:24	ga_ls7e_ard_3-0-0_108070_2017-05-06_final
2017-05-22 11:08:27	ga_ls7e_ard_3-0-0_108070_2017-05-22_final
2017-06-07 11:08:32	ga_ls7e_ard_3-0-0_108070_2017-06-07_final
2017-06-23 11:08:35	ga_ls7e_ard_3-0-0_108070_2017-06-23_final
2017-07-09 11:08:37	ga_ls7e_ard_3-0-0_108070_2017-07-09_final
2017-07-25 11:08:36	ga_ls7e_ard_3-0-0_108070_2017-07-25_final
2017-08-10 11:08:34	ga_ls7e_ard_3-0-0_108070_2017-08-10_final
2017-08-26 11:08:34	ga_ls7e_ard_3-0-0_108070_2017-08-26_final
2017-09-11 11:08:33	ga_ls7e_ard_3-0-0_108070_2017-09-11_final
2017-09-27 11:08:32	ga_ls7e_ard_3-0-0_108070_2017-09-27_final
2017-10-13 11:08:34	ga_ls7e_ard_3-0-0_108070_2017-10-13_final
2017-10-29 11:08:35	ga_ls7e_ard_3-0-0_108070_2017-10-29_final
2017-11-14 11:08:33	ga_ls7e_ard_3-0-0_108070_2017-11-14_final
2017-11-30 11:08:27	ga_ls7e_ard_3-0-0_108070_2017-11-30_final
2018-03-22 11:07:04	ga_ls7e_ard_3-0-0_108070_2018-03-22_final
2018-08-29 11:04:14	ga_ls7e_ard_3-0-0_108070_2018-08-29_final
2019-01-20 11:00:35	ga_ls7e_ard_3-0-0_108070_2019-01-20_final
2019-04-10 10:58:01	ga_ls7e_ard_3-0-0_108070_2019-04-10_final
2019-06-13 10:55:38	ga_ls7e_ard_3-0-0_108070_2019-06-13_final
2019-07-31 10:53:47	ga_ls7e_ard_3-0-0_108070_2019-07-31_final
2019-10-19 10:50:23	ga_ls7e_ard_3-1-0_108070_2019-10-19_final
2019-11-04 10:49:41	ga_ls7e_ard_3-1-0_108070_2019-11-04_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