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
2013-08-31 11:04:36	ga_ls7e_ard_3-0-0_108078_2013-08-31_final
2013-10-02 11:04:58	ga_ls7e_ard_3-0-0_108078_2013-10-02_final
2013-11-03 11:05:14	ga_ls7e_ard_3-0-0_108078_2013-11-03_final
2013-11-19 11:05:19	ga_ls7e_ard_3-0-0_108078_2013-11-19_final
2013-12-05 11:05:29	ga_ls7e_ard_3-0-0_108078_2013-12-05_final
2014-01-06 11:05:35	ga_ls7e_ard_3-0-0_108078_2014-01-06_final
2014-02-23 11:05:51	ga_ls7e_ard_3-0-0_108078_2014-02-23_final
2014-04-12 11:06:10	ga_ls7e_ard_3-0-0_108078_2014-04-12_final
2014-04-28 11:06:21	ga_ls7e_ard_3-0-0_108078_2014-04-28_final
2014-05-14 11:06:27	ga_ls7e_ard_3-0-0_108078_2014-05-14_final
2014-05-30 11:06:31	ga_ls7e_ard_3-0-0_108078_2014-05-30_final
2014-06-15 11:06:32	ga_ls7e_ard_3-0-0_108078_2014-06-15_final
2014-08-02 11:06:47	ga_ls7e_ard_3-0-0_108078_2014-08-02_final
2014-08-18 11:06:47	ga_ls7e_ard_3-0-0_108078_2014-08-18_final
2014-09-03 11:06:47	ga_ls7e_ard_3-0-0_108078_2014-09-03_final
2015-02-10 11:07:50	ga_ls7e_ard_3-0-0_108078_2015-02-10_final
2015-03-30 11:08:12	ga_ls7e_ard_3-0-0_108078_2015-03-30_final
2015-04-15 11:08:21	ga_ls7e_ard_3-0-0_108078_2015-04-15_final
2015-06-02 11:08:40	ga_ls7e_ard_3-0-0_108078_2015-06-02_final
2015-08-05 11:08:57	ga_ls7e_ard_3-0-0_108078_2015-08-05_final
2015-09-22 11:09:06	ga_ls7e_ard_3-0-0_108078_2015-09-22_final
2015-10-08 11:09:12	ga_ls7e_ard_3-0-0_108078_2015-10-08_final
2015-10-24 11:09:30	ga_ls7e_ard_3-0-0_108078_2015-10-24_final
2015-11-09 11:09:44	ga_ls7e_ard_3-0-0_108078_2015-11-09_final
2015-12-11 11:10:15	ga_ls7e_ard_3-0-0_108078_2015-12-11_final
2015-12-27 11:10:28	ga_ls7e_ard_3-0-0_108078_2015-12-27_final
2016-01-12 11:10:44	ga_ls7e_ard_3-0-0_108078_2016-01-12_final
2016-01-28 11:10:55	ga_ls7e_ard_3-0-0_108078_2016-01-28_final
2016-02-13 11:11:01	ga_ls7e_ard_3-0-0_108078_2016-02-13_final
2016-03-16 11:11:14	ga_ls7e_ard_3-0-0_108078_2016-03-16_final
2016-04-01 11:11:18	ga_ls7e_ard_3-0-0_108078_2016-04-01_final
2016-04-17 11:11:25	ga_ls7e_ard_3-0-0_108078_2016-04-17_final
2016-05-03 11:11:31	ga_ls7e_ard_3-0-0_108078_2016-05-03_final
2016-06-04 11:11:39	ga_ls7e_ard_3-0-0_108078_2016-06-04_final
2016-06-20 11:11:42	ga_ls7e_ard_3-0-0_108078_2016-06-20_final
2016-07-22 11:11:44	ga_ls7e_ard_3-0-0_108078_2016-07-22_final
2016-08-07 11:11:46	ga_ls7e_ard_3-0-0_108078_2016-08-07_final
2016-08-23 11:11:47	ga_ls7e_ard_3-0-0_108078_2016-08-23_final
2016-09-08 11:11:51	ga_ls7e_ard_3-0-0_108078_2016-09-08_final
2016-09-24 11:11:53	ga_ls7e_ard_3-0-0_108078_2016-09-24_final
2016-10-10 11:11:54	ga_ls7e_ard_3-0-0_108078_2016-10-10_final
2016-10-26 11:11:50	ga_ls7e_ard_3-0-0_108078_2016-10-26_final
2016-11-11 11:11:43	ga_ls7e_ard_3-0-0_108078_2016-11-11_final
2016-11-27 11:11:40	ga_ls7e_ard_3-0-0_108078_2016-11-27_final
2016-12-13 11:11:35	ga_ls7e_ard_3-0-0_108078_2016-12-13_final
2016-12-29 11:11:29	ga_ls7e_ard_3-0-0_108078_2016-12-29_final
2017-01-14 11:11:18	ga_ls7e_ard_3-0-0_108078_2017-01-14_final
2017-01-30 11:11:09	ga_ls7e_ard_3-0-0_108078_2017-01-30_final
2017-02-15 11:11:05	ga_ls7e_ard_3-0-0_108078_2017-02-15_final
2017-03-03 11:11:14	ga_ls7e_ard_3-0-0_108078_2017-03-03_final
2017-03-19 11:11:20	ga_ls7e_ard_3-0-0_108078_2017-03-19_final
2017-04-04 11:11:23	ga_ls7e_ard_3-0-0_108078_2017-04-04_final
2017-05-06 11:11:36	ga_ls7e_ard_3-0-0_108078_2017-05-06_final
2017-05-22 11:11:39	ga_ls7e_ard_3-0-0_108078_2017-05-22_final
2017-06-07 11:11:43	ga_ls7e_ard_3-0-0_108078_2017-06-07_final
2017-06-23 11:11:47	ga_ls7e_ard_3-0-0_108078_2017-06-23_final
2017-07-09 11:11:48	ga_ls7e_ard_3-0-0_108078_2017-07-09_final
2017-07-25 11:11:47	ga_ls7e_ard_3-0-0_108078_2017-07-25_final
2017-08-10 11:11:45	ga_ls7e_ard_3-0-0_108078_2017-08-10_final
2017-08-26 11:11:45	ga_ls7e_ard_3-0-0_108078_2017-08-26_final
2017-09-11 11:11:44	ga_ls7e_ard_3-0-0_108078_2017-09-11_final
2017-09-27 11:11:44	ga_ls7e_ard_3-0-0_108078_2017-09-27_final
2017-10-13 11:11:46	ga_ls7e_ard_3-0-0_108078_2017-10-13_final
2017-10-29 11:11:47	ga_ls7e_ard_3-0-0_108078_2017-10-29_final
2017-11-14 11:11:44	ga_ls7e_ard_3-0-0_108078_2017-11-14_final
2017-11-30 11:11:38	ga_ls7e_ard_3-0-0_108078_2017-11-30_final
2017-12-16 11:11:30	ga_ls7e_ard_3-0-0_108078_2017-12-16_final
2018-01-01 11:11:18	ga_ls7e_ard_3-0-0_108078_2018-01-01_final
2018-01-17 11:11:05	ga_ls7e_ard_3-0-0_108078_2018-01-17_final
2018-03-06 11:10:27	ga_ls7e_ard_3-0-0_108078_2018-03-06_final
2018-03-22 11:10:15	ga_ls7e_ard_3-0-0_108078_2018-03-22_final
2018-04-07 11:10:01	ga_ls7e_ard_3-0-0_108078_2018-04-07_final
2018-04-23 11:09:45	ga_ls7e_ard_3-0-0_108078_2018-04-23_final
2018-05-09 11:09:27	ga_ls7e_ard_3-0-0_108078_2018-05-09_final
2018-05-25 11:09:13	ga_ls7e_ard_3-0-0_108078_2018-05-25_final
2018-06-10 11:08:56	ga_ls7e_ard_3-0-0_108078_2018-06-10_final
2018-06-26 11:08:38	ga_ls7e_ard_3-0-0_108078_2018-06-26_final
2018-07-12 11:08:19	ga_ls7e_ard_3-0-0_108078_2018-07-12_final
2018-07-28 11:08:03	ga_ls7e_ard_3-0-0_108078_2018-07-28_final
2018-08-13 11:07:45	ga_ls7e_ard_3-0-0_108078_2018-08-13_final
2018-08-29 11:07:26	ga_ls7e_ard_3-0-0_108078_2018-08-29_final
2018-09-14 11:07:05	ga_ls7e_ard_3-0-0_108078_2018-09-14_final
2018-09-30 11:06:43	ga_ls7e_ard_3-0-0_108078_2018-09-30_final
2018-10-16 11:06:19	ga_ls7e_ard_3-0-0_108078_2018-10-16_final
2018-11-01 11:05:58	ga_ls7e_ard_3-0-0_108078_2018-11-01_final
2018-11-17 11:05:36	ga_ls7e_ard_3-0-0_108078_2018-11-17_final
2018-12-03 11:05:12	ga_ls7e_ard_3-0-0_108078_2018-12-03_final
2018-12-19 11:04:45	ga_ls7e_ard_3-0-0_108078_2018-12-19_final
2019-01-04 11:04:17	ga_ls7e_ard_3-0-0_108078_2019-01-04_final
2019-01-20 11:03:46	ga_ls7e_ard_3-0-0_108078_2019-01-20_final
2019-02-05 11:03:16	ga_ls7e_ard_3-0-0_108078_2019-02-05_final
2019-03-09 11:02:17	ga_ls7e_ard_3-0-0_108078_2019-03-09_final
2019-04-10 11:01:12	ga_ls7e_ard_3-0-0_108078_2019-04-10_final
2019-04-26 11:00:37	ga_ls7e_ard_3-0-0_108078_2019-04-26_final
2019-05-12 11:00:00	ga_ls7e_ard_3-0-0_108078_2019-05-12_final
2019-05-28 10:59:24	ga_ls7e_ard_3-0-0_108078_2019-05-28_final
2019-06-13 10:58:50	ga_ls7e_ard_3-0-0_108078_2019-06-13_final
2019-06-29 10:58:14	ga_ls7e_ard_3-0-0_108078_2019-06-29_final
2019-07-15 10:57:37	ga_ls7e_ard_3-0-0_108078_2019-07-15_final
2019-07-31 10:56:59	ga_ls7e_ard_3-0-0_108078_2019-07-31_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