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
2014-01-12 10:28:09	ga_ls7e_ard_3-0-0_102077_2014-01-12_final
2014-03-01 10:28:24	ga_ls7e_ard_3-0-0_102077_2014-03-01_final
2014-03-17 10:28:32	ga_ls7e_ard_3-0-0_102077_2014-03-17_final
2014-04-02 10:28:38	ga_ls7e_ard_3-0-0_102077_2014-04-02_final
2014-04-18 10:28:47	ga_ls7e_ard_3-0-0_102077_2014-04-18_final
2014-05-04 10:28:53	ga_ls7e_ard_3-0-0_102077_2014-05-04_final
2014-05-20 10:29:01	ga_ls7e_ard_3-0-0_102077_2014-05-20_final
2014-06-05 10:29:04	ga_ls7e_ard_3-0-0_102077_2014-06-05_final
2014-06-21 10:29:05	ga_ls7e_ard_3-0-0_102077_2014-06-21_final
2014-07-23 10:29:14	ga_ls7e_ard_3-0-0_102077_2014-07-23_final
2014-08-24 10:29:17	ga_ls7e_ard_3-0-0_102077_2014-08-24_final
2014-09-09 10:29:19	ga_ls7e_ard_3-0-0_102077_2014-09-09_final
2014-09-25 10:29:25	ga_ls7e_ard_3-0-0_102077_2014-09-25_final
2014-10-11 10:29:37	ga_ls7e_ard_3-0-0_102077_2014-10-11_final
2014-10-27 10:29:46	ga_ls7e_ard_3-0-0_102077_2014-10-27_final
2014-11-12 10:29:55	ga_ls7e_ard_3-0-0_102077_2014-11-12_final
2014-11-28 10:29:59	ga_ls7e_ard_3-0-0_102077_2014-11-28_final
2014-12-14 10:30:07	ga_ls7e_ard_3-0-0_102077_2014-12-14_final
2015-01-15 10:30:14	ga_ls7e_ard_3-0-0_102077_2015-01-15_final
2015-03-20 10:30:40	ga_ls7e_ard_3-0-0_102077_2015-03-20_final
2015-04-21 10:30:53	ga_ls7e_ard_3-0-0_102077_2015-04-21_final
2015-05-23 10:31:07	ga_ls7e_ard_3-0-0_102077_2015-05-23_final
2015-06-08 10:31:14	ga_ls7e_ard_3-0-0_102077_2015-06-08_final
2015-07-26 10:31:25	ga_ls7e_ard_3-0-0_102077_2015-07-26_final
2015-08-11 10:31:29	ga_ls7e_ard_3-0-0_102077_2015-08-11_final
2015-09-12 10:31:34	ga_ls7e_ard_3-0-0_102077_2015-09-12_final
2015-09-28 10:31:38	ga_ls7e_ard_3-0-0_102077_2015-09-28_final
2015-10-14 10:31:50	ga_ls7e_ard_3-0-0_102077_2015-10-14_final
2015-10-30 10:32:05	ga_ls7e_ard_3-0-0_102077_2015-10-30_final
2015-11-15 10:32:22	ga_ls7e_ard_3-0-0_102077_2015-11-15_final
2015-12-01 10:32:34	ga_ls7e_ard_3-0-0_102077_2015-12-01_final
2015-12-17 10:32:52	ga_ls7e_ard_3-0-0_102077_2015-12-17_final
2016-01-02 10:33:05	ga_ls7e_ard_3-0-0_102077_2016-01-02_final
2016-01-18 10:33:20	ga_ls7e_ard_3-0-0_102077_2016-01-18_final
2016-02-03 10:33:29	ga_ls7e_ard_3-0-0_102077_2016-02-03_final
2016-02-19 10:33:32	ga_ls7e_ard_3-0-0_102077_2016-02-19_final
2016-03-06 10:33:40	ga_ls7e_ard_3-0-0_102077_2016-03-06_final
2016-03-22 10:33:47	ga_ls7e_ard_3-0-0_102077_2016-03-22_final
2016-04-07 10:33:51	ga_ls7e_ard_3-0-0_102077_2016-04-07_final
2016-04-23 10:33:59	ga_ls7e_ard_3-0-0_102077_2016-04-23_final
2016-05-25 10:34:07	ga_ls7e_ard_3-0-0_102077_2016-05-25_final
2016-06-10 10:34:12	ga_ls7e_ard_3-0-0_102077_2016-06-10_final
2016-07-12 10:34:13	ga_ls7e_ard_3-0-0_102077_2016-07-12_final
2016-07-28 10:34:16	ga_ls7e_ard_3-0-0_102077_2016-07-28_final
2016-08-13 10:34:17	ga_ls7e_ard_3-0-0_102077_2016-08-13_final
2016-09-14 10:34:22	ga_ls7e_ard_3-0-0_102077_2016-09-14_final
2016-09-30 10:34:25	ga_ls7e_ard_3-0-0_102077_2016-09-30_final
2016-10-16 10:34:24	ga_ls7e_ard_3-0-0_102077_2016-10-16_final
2016-11-01 10:34:19	ga_ls7e_ard_3-0-0_102077_2016-11-01_final
2016-11-17 10:34:12	ga_ls7e_ard_3-0-0_102077_2016-11-17_final
2016-12-03 10:34:10	ga_ls7e_ard_3-0-0_102077_2016-12-03_final
2016-12-19 10:34:04	ga_ls7e_ard_3-0-0_102077_2016-12-19_final
2017-01-04 10:33:55	ga_ls7e_ard_3-0-0_102077_2017-01-04_final
2017-01-20 10:33:45	ga_ls7e_ard_3-0-0_102077_2017-01-20_final
2017-02-05 10:33:38	ga_ls7e_ard_3-0-0_102077_2017-02-05_final
2017-02-21 10:33:40	ga_ls7e_ard_3-0-0_102077_2017-02-21_final
2017-03-09 10:33:48	ga_ls7e_ard_3-0-0_102077_2017-03-09_final
2017-03-25 10:33:53	ga_ls7e_ard_3-0-0_102077_2017-03-25_final
2017-04-10 10:33:58	ga_ls7e_ard_3-0-0_102077_2017-04-10_final
2017-04-26 10:34:05	ga_ls7e_ard_3-0-0_102077_2017-04-26_final
2017-05-12 10:34:08	ga_ls7e_ard_3-0-0_102077_2017-05-12_final
2017-05-28 10:34:12	ga_ls7e_ard_3-0-0_102077_2017-05-28_final
2017-06-13 10:34:16	ga_ls7e_ard_3-0-0_102077_2017-06-13_final
2017-06-29 10:34:19	ga_ls7e_ard_3-0-0_102077_2017-06-29_final
2017-07-15 10:34:19	ga_ls7e_ard_3-0-0_102077_2017-07-15_final
2017-07-31 10:34:18	ga_ls7e_ard_3-0-0_102077_2017-07-31_final
2017-08-16 10:34:16	ga_ls7e_ard_3-0-0_102077_2017-08-16_final
2017-09-01 10:34:16	ga_ls7e_ard_3-0-0_102077_2017-09-01_final
2017-09-17 10:34:14	ga_ls7e_ard_3-0-0_102077_2017-09-17_final
2017-10-03 10:34:15	ga_ls7e_ard_3-0-0_102077_2017-10-03_final
2017-10-19 10:34:18	ga_ls7e_ard_3-0-0_102077_2017-10-19_final
2017-11-04 10:34:17	ga_ls7e_ard_3-0-0_102077_2017-11-04_final
2017-11-20 10:34:14	ga_ls7e_ard_3-0-0_102077_2017-11-20_final
2018-01-07 10:33:45	ga_ls7e_ard_3-0-0_102077_2018-01-07_final
2018-01-23 10:33:30	ga_ls7e_ard_3-0-0_102077_2018-01-23_final
2018-02-08 10:33:14	ga_ls7e_ard_3-0-0_102077_2018-02-08_final
2018-02-24 10:33:05	ga_ls7e_ard_3-0-0_102077_2018-02-24_final
2018-03-12 10:32:54	ga_ls7e_ard_3-0-0_102077_2018-03-12_final
2018-03-28 10:32:41	ga_ls7e_ard_3-0-0_102077_2018-03-28_final
2018-04-13 10:32:26	ga_ls7e_ard_3-0-0_102077_2018-04-13_final
2018-05-31 10:31:38	ga_ls7e_ard_3-0-0_102077_2018-05-31_final
2018-06-16 10:31:21	ga_ls7e_ard_3-0-0_102077_2018-06-16_final
2018-07-18 10:30:44	ga_ls7e_ard_3-0-0_102077_2018-07-18_final
2018-08-03 10:30:27	ga_ls7e_ard_3-0-0_102077_2018-08-03_final
2018-08-19 10:30:09	ga_ls7e_ard_3-0-0_102077_2018-08-19_final
2018-09-04 10:29:49	ga_ls7e_ard_3-0-0_102077_2018-09-04_final
2018-10-06 10:29:05	ga_ls7e_ard_3-0-0_102077_2018-10-06_final
2018-11-23 10:27:59	ga_ls7e_ard_3-0-0_102077_2018-11-23_final
2018-12-25 10:27:06	ga_ls7e_ard_3-0-0_102077_2018-12-25_final
2019-01-26 10:26:06	ga_ls7e_ard_3-0-0_102077_2019-01-26_final
2019-02-11 10:25:37	ga_ls7e_ard_3-0-0_102077_2019-02-11_final
2019-02-27 10:25:08	ga_ls7e_ard_3-1-0_102077_2019-02-27_final
2019-04-16 10:23:30	ga_ls7e_ard_3-0-0_102077_2019-04-16_final
2019-05-02 10:22:55	ga_ls7e_ard_3-0-0_102077_2019-05-02_final
2019-06-03 10:21:43	ga_ls7e_ard_3-0-0_102077_2019-06-03_final
2019-06-19 10:21:08	ga_ls7e_ard_3-0-0_102077_2019-06-19_final
2019-09-07 10:17:54	ga_ls7e_ard_3-1-0_102077_2019-09-07_final
2019-10-09 10:16:31	ga_ls7e_ard_3-1-0_102077_2019-10-09_final
2019-10-25 10:15:51	ga_ls7e_ard_3-1-0_102077_2019-10-25_final
2019-12-12 10:13:35	ga_ls7e_ard_3-1-0_102077_2019-12-12_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