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
2012-12-18 11:03:39	ga_ls7e_ard_3-0-0_108074_2012-12-18_final
2013-05-27 11:03:21	ga_ls7e_ard_3-0-0_108074_2013-05-27_final
2013-07-30 11:02:48	ga_ls7e_ard_3-0-0_108074_2013-07-30_final
2013-09-16 11:03:12	ga_ls7e_ard_3-0-0_108074_2013-09-16_final
2013-10-18 11:03:34	ga_ls7e_ard_3-0-0_108074_2013-10-18_final
2014-01-06 11:03:59	ga_ls7e_ard_3-0-0_108074_2014-01-06_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
2014-07-17 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
2014-10-21 11:05:36	ga_ls7e_ard_3-0-0_108074_2014-10-21_final
2015-01-25 11:06:09	ga_ls7e_ard_3-0-0_108074_2015-01-25_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
2016-07-22 11:10:08	ga_ls7e_ard_3-0-0_108074_2016-07-22_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
2016-10-10 11:10:18	ga_ls7e_ard_3-0-0_108074_2016-10-10_final
2016-10-26 11:10:15	ga_ls7e_ard_3-0-0_108074_2016-10-26_final
2016-11-11 11:10:07	ga_ls7e_ard_3-0-0_108074_2016-11-11_final
2016-11-27 11:10:04	ga_ls7e_ard_3-0-0_108074_2016-11-27_final
2016-12-13 11:10:00	ga_ls7e_ard_3-0-0_108074_2016-12-13_final
2016-12-29 11:09:53	ga_ls7e_ard_3-0-0_108074_2016-12-29_final
2017-01-30 11:09:33	ga_ls7e_ard_3-0-0_108074_2017-01-30_final
2017-02-15 11:09:30	ga_ls7e_ard_3-0-0_108074_2017-02-15_final
2017-03-03 11:09:38	ga_ls7e_ard_3-0-0_108074_2017-03-03_final
2017-03-19 11:09:44	ga_ls7e_ard_3-0-0_108074_2017-03-19_final
2017-04-04 11:09:48	ga_ls7e_ard_3-0-0_108074_2017-04-04_final
2017-05-06 11:10:00	ga_ls7e_ard_3-0-0_108074_2017-05-06_final
2017-05-22 11:10:03	ga_ls7e_ard_3-0-0_108074_2017-05-22_final
2017-06-07 11:10:08	ga_ls7e_ard_3-0-0_108074_2017-06-07_final
2017-06-23 11:10:11	ga_ls7e_ard_3-0-0_108074_2017-06-23_final
2017-07-09 11:10:12	ga_ls7e_ard_3-0-0_108074_2017-07-09_final
2017-07-25 11:10:12	ga_ls7e_ard_3-0-0_108074_2017-07-25_final
2017-08-10 11:10:09	ga_ls7e_ard_3-0-0_108074_2017-08-10_final
2017-08-26 11:10:09	ga_ls7e_ard_3-0-0_108074_2017-08-26_final
2017-09-11 11:10:08	ga_ls7e_ard_3-0-0_108074_2017-09-11_final
2017-09-27 11:10:08	ga_ls7e_ard_3-0-0_108074_2017-09-27_final
2017-10-29 11:10:11	ga_ls7e_ard_3-0-0_108074_2017-10-29_final
2017-11-14 11:10:08	ga_ls7e_ard_3-0-0_108074_2017-11-14_final
2017-11-30 11:10:03	ga_ls7e_ard_3-0-0_108074_2017-11-30_final
2017-12-16 11:09:54	ga_ls7e_ard_3-0-0_108074_2017-12-16_final
2018-01-01 11:09:43	ga_ls7e_ard_3-0-0_108074_2018-01-01_final
2018-01-17 11:09:29	ga_ls7e_ard_3-0-0_108074_2018-01-17_final
2018-03-06 11:08:52	ga_ls7e_ard_3-0-0_108074_2018-03-06_final
2018-03-22 11:08:39	ga_ls7e_ard_3-0-0_108074_2018-03-22_final
2018-04-07 11:08:25	ga_ls7e_ard_3-0-0_108074_2018-04-07_final
2018-04-23 11:08:09	ga_ls7e_ard_3-0-0_108074_2018-04-23_final
2018-05-25 11:07:37	ga_ls7e_ard_3-0-0_108074_2018-05-25_final
2018-06-10 11:07:21	ga_ls7e_ard_3-0-0_108074_2018-06-10_final
2018-07-12 11:06:43	ga_ls7e_ard_3-0-0_108074_2018-07-12_final
2018-07-28 11:06:27	ga_ls7e_ard_3-0-0_108074_2018-07-28_final
2018-08-13 11:06:09	ga_ls7e_ard_3-0-0_108074_2018-08-13_final
2018-08-29 11:05:50	ga_ls7e_ard_3-0-0_108074_2018-08-29_final
2018-09-14 11:05:29	ga_ls7e_ard_3-0-0_108074_2018-09-14_final
2018-09-30 11:05:07	ga_ls7e_ard_3-0-0_108074_2018-09-30_final
2018-11-17 11:04:00	ga_ls7e_ard_3-0-0_108074_2018-11-17_final
2018-12-19 11:03:09	ga_ls7e_ard_3-0-0_108074_2018-12-19_final
2019-01-04 11:02:41	ga_ls7e_ard_3-0-0_108074_2019-01-04_final
2019-01-20 11:02:10	ga_ls7e_ard_3-0-0_108074_2019-01-20_final
2019-02-05 11:01:40	ga_ls7e_ard_3-0-0_108074_2019-02-05_final
2019-02-21 11:01:12	ga_ls7e_ard_3-1-0_108074_2019-02-21_final
2019-03-09 11:00:42	ga_ls7e_ard_3-1-0_108074_2019-03-09_final
2019-03-25 11:00:10	ga_ls7e_ard_3-1-0_108074_2019-03-25_final
2019-04-10 10:59:36	ga_ls7e_ard_3-0-0_108074_2019-04-10_final
2019-04-26 10:59:01	ga_ls7e_ard_3-0-0_108074_2019-04-26_final
2019-05-12 10:58:24	ga_ls7e_ard_3-0-0_108074_2019-05-12_final
2019-06-13 10:57:14	ga_ls7e_ard_3-0-0_108074_2019-06-13_final
2019-06-29 10:56:38	ga_ls7e_ard_3-0-0_108074_2019-06-29_final
2019-07-15 10:56:01	ga_ls7e_ard_3-0-0_108074_2019-07-15_final
2019-07-31 10:55:23	ga_ls7e_ard_3-0-0_108074_2019-07-31_final
2019-08-16 10:54:43	ga_ls7e_ard_3-0-0_108074_2019-08-16_final
2019-09-01 10:54:02	ga_ls7e_ard_3-1-0_108074_2019-09-01_final
2019-09-17 10:53:20	ga_ls7e_ard_3-1-0_108074_2019-09-17_final
2019-10-03 10:52:39	ga_ls7e_ard_3-1-0_108074_2019-10-03_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