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
2014-11-24 10:53:52	ga_ls7e_ard_3-1-0_106075_2014-11-24_final
2014-12-10 10:53:59	ga_ls7e_ard_3-1-0_106075_2014-12-10_final
2014-12-26 10:54:07	ga_ls7e_ard_3-1-0_106075_2014-12-26_final
2015-01-11 10:54:09	ga_ls7e_ard_3-1-0_106075_2015-01-11_final
2015-02-12 10:54:14	ga_ls7e_ard_3-1-0_106075_2015-02-12_final
2015-02-28 10:54:26	ga_ls7e_ard_3-1-0_106075_2015-02-28_final
2015-03-16 10:54:33	ga_ls7e_ard_3-1-0_106075_2015-03-16_final
2015-05-03 10:54:54	ga_ls7e_ard_3-1-0_106075_2015-05-03_final
2015-05-19 10:55:02	ga_ls7e_ard_3-1-0_106075_2015-05-19_final
2015-06-04 10:55:08	ga_ls7e_ard_3-1-0_106075_2015-06-04_final
2015-06-20 10:55:12	ga_ls7e_ard_3-1-0_106075_2015-06-20_final
2015-07-06 10:55:16	ga_ls7e_ard_3-1-0_106075_2015-07-06_final
2015-07-22 10:55:20	ga_ls7e_ard_3-1-0_106075_2015-07-22_final
2015-08-07 10:55:24	ga_ls7e_ard_3-1-0_106075_2015-08-07_final
2015-08-23 10:55:26	ga_ls7e_ard_3-1-0_106075_2015-08-23_final
2015-09-24 10:55:33	ga_ls7e_ard_3-1-0_106075_2015-09-24_final
2015-10-10 10:55:41	ga_ls7e_ard_3-1-0_106075_2015-10-10_final
2015-11-27 10:56:27	ga_ls7e_ard_3-1-0_106075_2015-11-27_final
2015-12-13 10:56:43	ga_ls7e_ard_3-1-0_106075_2015-12-13_final
2015-12-29 10:56:56	ga_ls7e_ard_3-1-0_106075_2015-12-29_final
2016-01-14 10:57:12	ga_ls7e_ard_3-1-0_106075_2016-01-14_final
2016-02-15 10:57:27	ga_ls7e_ard_3-1-0_106075_2016-02-15_final
2016-03-02 10:57:33	ga_ls7e_ard_3-1-0_106075_2016-03-02_final
2016-04-03 10:57:45	ga_ls7e_ard_3-1-0_106075_2016-04-03_final
2016-04-19 10:57:53	ga_ls7e_ard_3-1-0_106075_2016-04-19_final
2016-05-21 10:58:00	ga_ls7e_ard_3-1-0_106075_2016-05-21_final
2016-06-06 10:58:06	ga_ls7e_ard_3-1-0_106075_2016-06-06_final
2016-06-22 10:58:09	ga_ls7e_ard_3-1-0_106075_2016-06-22_final
2016-07-08 10:58:08	ga_ls7e_ard_3-1-0_106075_2016-07-08_final
2016-07-24 10:58:11	ga_ls7e_ard_3-1-0_106075_2016-07-24_final
2016-08-09 10:58:12	ga_ls7e_ard_3-1-0_106075_2016-08-09_final
2016-08-25 10:58:15	ga_ls7e_ard_3-1-0_106075_2016-08-25_final
2016-09-10 10:58:17	ga_ls7e_ard_3-1-0_106075_2016-09-10_final
2016-09-26 10:58:20	ga_ls7e_ard_3-1-0_106075_2016-09-26_final
2016-10-12 10:58:20	ga_ls7e_ard_3-1-0_106075_2016-10-12_final
2016-10-28 10:58:16	ga_ls7e_ard_3-1-0_106075_2016-10-28_final
2016-11-13 10:58:09	ga_ls7e_ard_3-1-0_106075_2016-11-13_final
2016-11-29 10:58:06	ga_ls7e_ard_3-1-0_106075_2016-11-29_final
2016-12-15 10:58:01	ga_ls7e_ard_3-1-0_106075_2016-12-15_final
2016-12-31 10:57:54	ga_ls7e_ard_3-1-0_106075_2016-12-31_final
2017-01-16 10:57:43	ga_ls7e_ard_3-1-0_106075_2017-01-16_final
2017-02-01 10:57:35	ga_ls7e_ard_3-1-0_106075_2017-02-01_final
2017-02-17 10:57:33	ga_ls7e_ard_3-1-0_106075_2017-02-17_final
2017-03-05 10:57:41	ga_ls7e_ard_3-1-0_106075_2017-03-05_final
2017-03-21 10:57:47	ga_ls7e_ard_3-1-0_106075_2017-03-21_final
2017-04-06 10:57:51	ga_ls7e_ard_3-1-0_106075_2017-04-06_final
2017-04-22 10:57:58	ga_ls7e_ard_3-1-0_106075_2017-04-22_final
2017-05-08 10:58:03	ga_ls7e_ard_3-1-0_106075_2017-05-08_final
2017-05-24 10:58:05	ga_ls7e_ard_3-1-0_106075_2017-05-24_final
2017-06-09 10:58:10	ga_ls7e_ard_3-1-0_106075_2017-06-09_final
2017-06-25 10:58:13	ga_ls7e_ard_3-1-0_106075_2017-06-25_final
2017-07-11 10:58:15	ga_ls7e_ard_3-1-0_106075_2017-07-11_final
2017-07-27 10:58:14	ga_ls7e_ard_3-1-0_106075_2017-07-27_final
2017-08-12 10:58:11	ga_ls7e_ard_3-1-0_106075_2017-08-12_final
2017-08-28 10:58:12	ga_ls7e_ard_3-1-0_106075_2017-08-28_final
2017-09-13 10:58:10	ga_ls7e_ard_3-1-0_106075_2017-09-13_final
2017-09-29 10:58:11	ga_ls7e_ard_3-1-0_106075_2017-09-29_final
2017-10-15 10:58:13	ga_ls7e_ard_3-1-0_106075_2017-10-15_final
2017-10-31 10:58:13	ga_ls7e_ard_3-1-0_106075_2017-10-31_final
2017-11-16 10:58:10	ga_ls7e_ard_3-1-0_106075_2017-11-16_final
2017-12-02 10:58:04	ga_ls7e_ard_3-1-0_106075_2017-12-02_final
2017-12-18 10:57:55	ga_ls7e_ard_3-1-0_106075_2017-12-18_final
2018-01-03 10:57:43	ga_ls7e_ard_3-1-0_106075_2018-01-03_final
2018-01-19 10:57:29	ga_ls7e_ard_3-1-0_106075_2018-01-19_final
2018-02-04 10:57:13	ga_ls7e_ard_3-1-0_106075_2018-02-04_final
2018-02-20 10:57:03	ga_ls7e_ard_3-1-0_106075_2018-02-20_final
2018-03-08 10:56:52	ga_ls7e_ard_3-1-0_106075_2018-03-08_final
2018-03-24 10:56:40	ga_ls7e_ard_3-1-0_106075_2018-03-24_final
2018-04-09 10:56:26	ga_ls7e_ard_3-1-0_106075_2018-04-09_final
2018-04-25 10:56:09	ga_ls7e_ard_3-1-0_106075_2018-04-25_final
2018-05-11 10:55:52	ga_ls7e_ard_3-1-0_106075_2018-05-11_final
2018-05-27 10:55:37	ga_ls7e_ard_3-1-0_106075_2018-05-27_final
2018-06-12 10:55:21	ga_ls7e_ard_3-1-0_106075_2018-06-12_final
2018-06-28 10:55:02	ga_ls7e_ard_3-1-0_106075_2018-06-28_final
2018-07-14 10:54:43	ga_ls7e_ard_3-1-0_106075_2018-07-14_final
2018-07-30 10:54:27	ga_ls7e_ard_3-1-0_106075_2018-07-30_final
2018-08-15 10:54:09	ga_ls7e_ard_3-1-0_106075_2018-08-15_final
2018-08-31 10:53:50	ga_ls7e_ard_3-1-0_106075_2018-08-31_final
2018-09-16 10:53:29	ga_ls7e_ard_3-1-0_106075_2018-09-16_final
2018-10-02 10:53:06	ga_ls7e_ard_3-1-0_106075_2018-10-02_final
2018-10-18 10:52:42	ga_ls7e_ard_3-1-0_106075_2018-10-18_final
2018-11-03 10:52:22	ga_ls7e_ard_3-1-0_106075_2018-11-03_final
2018-11-19 10:52:00	ga_ls7e_ard_3-1-0_106075_2018-11-19_final
2018-12-05 10:51:35	ga_ls7e_ard_3-1-0_106075_2018-12-05_final
2018-12-21 10:51:08	ga_ls7e_ard_3-1-0_106075_2018-12-21_final
2019-01-06 10:50:39	ga_ls7e_ard_3-1-0_106075_2019-01-06_final
2019-01-22 10:50:09	ga_ls7e_ard_3-1-0_106075_2019-01-22_final
2019-02-07 10:49:39	ga_ls7e_ard_3-1-0_106075_2019-02-07_final
2019-02-23 10:49:10	ga_ls7e_ard_3-1-0_106075_2019-02-23_final
2019-03-11 10:48:40	ga_ls7e_ard_3-1-0_106075_2019-03-11_final
2019-03-27 10:48:08	ga_ls7e_ard_3-1-0_106075_2019-03-27_final
2019-04-12 10:47:34	ga_ls7e_ard_3-1-0_106075_2019-04-12_final
2019-05-30 10:45:46	ga_ls7e_ard_3-1-0_106075_2019-05-30_final
2019-07-17 10:43:59	ga_ls7e_ard_3-1-0_106075_2019-07-17_final
2020-02-26 10:33:38	ga_ls7e_ard_3-1-0_106075_2020-02-26_final
2020-03-13 10:32:46	ga_ls7e_ard_3-1-0_106075_2020-03-13_final
2020-03-29 10:31:53	ga_ls7e_ard_3-1-0_106075_2020-03-29_final
2020-06-17 10:27:08	ga_ls7e_ard_3-1-0_106075_2020-06-17_final
2020-09-21 10:21:06	ga_ls7e_ard_3-1-0_106075_2020-09-21_final
2020-10-23 10:19:03	ga_ls7e_ard_3-1-0_106075_2020-10-23_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