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:

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First 100 results (query limit)

Time (local)	Label
2014-09-26 09:36:12	ga_ls7e_ard_3-0-0_093083_2014-09-26_final
2014-10-12 09:36:23	ga_ls7e_ard_3-1-0_093083_2014-10-12_final
2014-10-28 09:36:32	ga_ls7e_ard_3-1-0_093083_2014-10-28_final
2014-11-13 09:36:41	ga_ls7e_ard_3-0-0_093083_2014-11-13_final
2015-02-01 09:37:06	ga_ls7e_ard_3-0-0_093083_2015-02-01_final
2015-03-05 09:37:19	ga_ls7e_ard_3-0-0_093083_2015-03-05_final
2015-04-06 09:37:34	ga_ls7e_ard_3-0-0_093083_2015-04-06_final
2015-04-22 09:37:39	ga_ls7e_ard_3-1-0_093083_2015-04-22_final
2015-05-08 09:37:48	ga_ls7e_ard_3-0-0_093083_2015-05-08_final
2015-07-27 09:38:11	ga_ls7e_ard_3-1-0_093083_2015-07-27_final
2015-08-12 09:38:16	ga_ls7e_ard_3-1-0_093083_2015-08-12_final
2015-10-31 09:38:52	ga_ls7e_ard_3-0-0_093083_2015-10-31_final
2015-12-18 09:39:39	ga_ls7e_ard_3-0-0_093083_2015-12-18_final
2016-01-03 09:39:52	ga_ls7e_ard_3-0-0_093083_2016-01-03_final
2016-01-19 09:40:07	ga_ls7e_ard_3-0-0_093083_2016-01-19_final
2016-03-07 09:40:27	ga_ls7e_ard_3-0-0_093083_2016-03-07_final
2016-03-23 09:40:34	ga_ls7e_ard_3-0-0_093083_2016-03-23_final
2016-07-13 09:40:59	ga_ls7e_ard_3-1-0_093083_2016-07-13_final
2016-08-14 09:41:03	ga_ls7e_ard_3-0-0_093083_2016-08-14_final
2016-09-15 09:41:08	ga_ls7e_ard_3-1-0_093083_2016-09-15_final
2016-11-18 09:40:58	ga_ls7e_ard_3-1-0_093083_2016-11-18_final
2017-02-06 09:40:25	ga_ls7e_ard_3-0-0_093083_2017-02-06_final
2017-03-10 09:40:34	ga_ls7e_ard_3-0-0_093083_2017-03-10_final
2017-03-26 09:40:39	ga_ls7e_ard_3-1-0_093083_2017-03-26_final
2017-04-11 09:40:44	ga_ls7e_ard_3-1-0_093083_2017-04-11_final
2017-04-27 09:40:51	ga_ls7e_ard_3-0-0_093083_2017-04-27_final
2017-05-13 09:40:55	ga_ls7e_ard_3-1-0_093083_2017-05-13_final
2017-05-29 09:40:58	ga_ls7e_ard_3-1-0_093083_2017-05-29_final
2017-06-14 09:41:03	ga_ls7e_ard_3-1-0_093083_2017-06-14_final
2017-06-30 09:41:05	ga_ls7e_ard_3-1-0_093083_2017-06-30_final
2017-07-16 09:41:06	ga_ls7e_ard_3-0-0_093083_2017-07-16_final
2017-08-01 09:41:04	ga_ls7e_ard_3-0-0_093083_2017-08-01_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2017-09-18 09:41:00	ga_ls7e_ard_3-1-0_093083_2017-09-18_final
2017-10-04 09:41:02	ga_ls7e_ard_3-0-0_093083_2017-10-04_final
2017-10-20 09:41:04	ga_ls7e_ard_3-0-0_093083_2017-10-20_final
2017-11-05 09:41:04	ga_ls7e_ard_3-0-0_093083_2017-11-05_final
2017-11-21 09:41:00	ga_ls7e_ard_3-0-0_093083_2017-11-21_final
2017-12-07 09:40:53	ga_ls7e_ard_3-0-0_093083_2017-12-07_final
2017-12-23 09:40:43	ga_ls7e_ard_3-0-0_093083_2017-12-23_final
2018-01-24 09:40:16	ga_ls7e_ard_3-0-0_093083_2018-01-24_final
2018-02-09 09:40:00	ga_ls7e_ard_3-0-0_093083_2018-02-09_final
2018-02-25 09:39:51	ga_ls7e_ard_3-1-0_093083_2018-02-25_final
2018-03-13 09:39:40	ga_ls7e_ard_3-0-0_093083_2018-03-13_final
2018-03-29 09:39:27	ga_ls7e_ard_3-0-0_093083_2018-03-29_final
2018-04-14 09:39:12	ga_ls7e_ard_3-0-0_093083_2018-04-14_final
2018-04-30 09:38:55	ga_ls7e_ard_3-0-0_093083_2018-04-30_final
2018-05-16 09:38:38	ga_ls7e_ard_3-0-0_093083_2018-05-16_final
2018-06-01 09:38:23	ga_ls7e_ard_3-0-0_093083_2018-06-01_final
2018-06-17 09:38:06	ga_ls7e_ard_3-0-0_093083_2018-06-17_final
2018-07-03 09:37:47	ga_ls7e_ard_3-0-0_093083_2018-07-03_final
2018-07-19 09:37:30	ga_ls7e_ard_3-0-0_093083_2018-07-19_final
2018-08-04 09:37:13	ga_ls7e_ard_3-0-0_093083_2018-08-04_final
2018-08-20 09:36:54	ga_ls7e_ard_3-0-0_093083_2018-08-20_final
2018-09-05 09:36:35	ga_ls7e_ard_3-0-0_093083_2018-09-05_final
2018-09-21 09:36:13	ga_ls7e_ard_3-1-0_093083_2018-09-21_final
2018-10-07 09:35:50	ga_ls7e_ard_3-1-0_093083_2018-10-07_final
2018-10-23 09:35:27	ga_ls7e_ard_3-0-0_093083_2018-10-23_final
2018-11-08 09:35:07	ga_ls7e_ard_3-0-0_093083_2018-11-08_final
2018-11-24 09:34:43	ga_ls7e_ard_3-1-0_093083_2018-11-24_final
2018-12-10 09:34:18	ga_ls7e_ard_3-0-0_093083_2018-12-10_final
2018-12-26 09:33:51	ga_ls7e_ard_3-1-0_093083_2018-12-26_final
2019-01-11 09:33:21	ga_ls7e_ard_3-0-0_093083_2019-01-11_final
2019-01-27 09:32:50	ga_ls7e_ard_3-0-0_093083_2019-01-27_final
2019-02-12 09:32:21	ga_ls7e_ard_3-0-0_093083_2019-02-12_final
2019-02-28 09:31:52	ga_ls7e_ard_3-1-0_093083_2019-02-28_final
2019-03-16 09:31:21	ga_ls7e_ard_3-1-0_093083_2019-03-16_final
2019-04-01 09:30:49	ga_ls7e_ard_3-0-0_093083_2019-04-01_final
2019-04-17 09:30:15	ga_ls7e_ard_3-1-0_093083_2019-04-17_final
2019-05-03 09:29:39	ga_ls7e_ard_3-0-0_093083_2019-05-02_final
2019-05-19 09:29:01	ga_ls7e_ard_3-1-0_093083_2019-05-18_final
2019-06-04 09:28:27	ga_ls7e_ard_3-0-0_093083_2019-06-03_final
2019-06-20 09:27:52	ga_ls7e_ard_3-1-0_093083_2019-06-19_final
2019-07-22 09:26:38	ga_ls7e_ard_3-0-0_093083_2019-07-21_final
2019-08-07 09:25:59	ga_ls7e_ard_3-0-0_093083_2019-08-06_final
2019-08-23 09:25:19	ga_ls7e_ard_3-0-0_093083_2019-08-22_final
2019-09-24 09:23:55	ga_ls7e_ard_3-1-0_093083_2019-09-23_final
2019-10-10 09:23:15	ga_ls7e_ard_3-1-0_093083_2019-10-09_final
2019-10-26 09:22:34	ga_ls7e_ard_3-1-0_093083_2019-10-25_final
2019-11-11 09:21:51	ga_ls7e_ard_3-1-0_093083_2019-11-10_final
2019-11-27 09:21:06	ga_ls7e_ard_3-1-0_093083_2019-11-26_final
2019-12-13 09:20:19	ga_ls7e_ard_3-1-0_093083_2019-12-12_final
2019-12-29 09:19:29	ga_ls7e_ard_3-1-0_093083_2019-12-28_final
2020-01-14 09:18:40	ga_ls7e_ard_3-1-0_093083_2020-01-13_final
2020-01-30 09:17:53	ga_ls7e_ard_3-1-0_093083_2020-01-29_final
2020-02-15 09:17:04	ga_ls7e_ard_3-1-0_093083_2020-02-14_final
2020-03-02 09:16:13	ga_ls7e_ard_3-1-0_093083_2020-03-01_final
2020-03-18 09:15:21	ga_ls7e_ard_3-1-0_093083_2020-03-17_final
2020-04-19 09:13:31	ga_ls7e_ard_3-1-0_093083_2020-04-18_final
2020-05-05 09:12:34	ga_ls7e_ard_3-1-0_093083_2020-05-04_final
2020-05-21 09:11:35	ga_ls7e_ard_3-1-0_093083_2020-05-20_final
2020-06-06 09:10:38	ga_ls7e_ard_3-1-0_093083_2020-06-05_final
2020-07-08 09:08:44	ga_ls7e_ard_3-1-0_093083_2020-07-07_final
2020-07-24 09:07:46	ga_ls7e_ard_3-1-0_093083_2020-07-23_final
2020-08-09 09:06:46	ga_ls7e_ard_3-1-0_093083_2020-08-08_final
2020-08-25 09:05:44	ga_ls7e_ard_3-1-0_093083_2020-08-24_final
2020-09-10 09:04:41	ga_ls7e_ard_3-1-0_093083_2020-09-09_final
2020-09-26 09:03:38	ga_ls7e_ard_3-1-0_093083_2020-09-25_final
2020-10-12 09:02:37	ga_ls7e_ard_3-1-0_093083_2020-10-11_final
2020-10-28 09:01:34	ga_ls7e_ard_3-1-0_093083_2020-10-27_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