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
2013-04-18 09:23:38	ga_ls7e_ard_3-0-0_091087_2013-04-17_final
2013-06-21 09:23:18	ga_ls7e_ard_3-0-0_091087_2013-06-20_final
2013-08-08 09:22:53	ga_ls7e_ard_3-0-0_091087_2013-08-07_final
2014-04-05 09:24:39	ga_ls7e_ard_3-0-0_091087_2014-04-04_final
2015-07-13 09:27:24	ga_ls7e_ard_3-0-0_091087_2015-07-12_final
2015-10-17 09:27:54	ga_ls7e_ard_3-0-0_091087_2015-10-16_final
2015-11-18 09:28:26	ga_ls7e_ard_3-0-0_091087_2015-11-17_final
2015-12-04 09:28:38	ga_ls7e_ard_3-0-0_091087_2015-12-03_final
2015-12-20 09:28:55	ga_ls7e_ard_3-0-0_091087_2015-12-19_final
2016-01-21 09:29:22	ga_ls7e_ard_3-0-0_091087_2016-01-20_final
2016-02-06 09:29:30	ga_ls7e_ard_3-0-0_091087_2016-02-05_final
2016-02-22 09:29:32	ga_ls7e_ard_3-0-0_091087_2016-02-21_final
2016-03-09 09:29:43	ga_ls7e_ard_3-0-0_091087_2016-03-08_final
2016-06-13 09:30:13	ga_ls7e_ard_3-0-0_091087_2016-06-13_final
2016-06-29 09:30:14	ga_ls7e_ard_3-0-0_091087_2016-06-29_final
2016-07-15 09:30:14	ga_ls7e_ard_3-0-0_091087_2016-07-15_final
2016-07-31 09:30:17	ga_ls7e_ard_3-0-0_091087_2016-07-31_final
2016-08-16 09:30:17	ga_ls7e_ard_3-0-0_091087_2016-08-16_final
2016-09-17 09:30:23	ga_ls7e_ard_3-0-0_091087_2016-09-17_final
2016-10-03 09:30:26	ga_ls7e_ard_3-0-0_091087_2016-10-03_final
2016-10-19 09:30:24	ga_ls7e_ard_3-0-0_091087_2016-10-19_final
2016-11-04 09:30:19	ga_ls7e_ard_3-0-0_091087_2016-11-04_final
2016-11-20 09:30:12	ga_ls7e_ard_3-1-0_091087_2016-11-20_final
2016-12-06 09:30:09	ga_ls7e_ard_3-1-0_091087_2016-12-06_final
2017-01-07 09:29:54	ga_ls7e_ard_3-1-0_091087_2017-01-06_final
2017-01-23 09:29:43	ga_ls7e_ard_3-0-0_091087_2017-01-22_final
2017-03-28 09:29:54	ga_ls7e_ard_3-1-0_091087_2017-03-27_final
2017-04-29 09:30:06	ga_ls7e_ard_3-1-0_091087_2017-04-29_final
2017-05-31 09:30:13	ga_ls7e_ard_3-0-0_091087_2017-05-31_final
2017-06-16 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-06-16_final
2017-07-02 09:30:19	ga_ls7e_ard_3-0-0_091087_2017-07-02_final
2017-07-18 09:30:20	ga_ls7e_ard_3-0-0_091087_2017-07-18_final
2017-08-03 09:30:18	ga_ls7e_ard_3-0-0_091087_2017-08-03_final
2017-08-19 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-08-19_final
2017-09-04 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-09-04_final
2017-09-20 09:30:14	ga_ls7e_ard_3-0-0_091087_2017-09-20_final
2017-10-06 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-10-06_final
2017-10-22 09:30:19	ga_ls7e_ard_3-0-0_091087_2017-10-22_final
2017-11-23 09:30:13	ga_ls7e_ard_3-0-0_091087_2017-11-23_final
2018-01-10 09:29:43	ga_ls7e_ard_3-0-0_091087_2018-01-09_final
2018-02-11 09:29:13	ga_ls7e_ard_3-0-0_091087_2018-02-10_final
2018-02-27 09:29:04	ga_ls7e_ard_3-0-0_091087_2018-02-26_final
2018-03-15 09:28:52	ga_ls7e_ard_3-0-0_091087_2018-03-14_final
2018-03-31 09:28:39	ga_ls7e_ard_3-0-0_091087_2018-03-30_final
2018-05-02 09:28:07	ga_ls7e_ard_3-0-0_091087_2018-05-01_final
2018-06-03 09:27:36	ga_ls7e_ard_3-0-0_091087_2018-06-02_final
2018-06-19 09:27:18	ga_ls7e_ard_3-0-0_091087_2018-06-18_final
2018-07-05 09:26:59	ga_ls7e_ard_3-0-0_091087_2018-07-04_final
2018-07-21 09:26:42	ga_ls7e_ard_3-0-0_091087_2018-07-20_final
2018-08-22 09:26:06	ga_ls7e_ard_3-0-0_091087_2018-08-21_final
2018-09-07 09:25:46	ga_ls7e_ard_3-0-0_091087_2018-09-06_final
2018-09-23 09:25:25	ga_ls7e_ard_3-0-0_091087_2018-09-22_final
2018-10-25 09:24:39	ga_ls7e_ard_3-0-0_091087_2018-10-24_final
2018-11-10 09:24:18	ga_ls7e_ard_3-0-0_091087_2018-11-09_final
2018-11-26 09:23:55	ga_ls7e_ard_3-0-0_091087_2018-11-25_final
2018-12-12 09:23:29	ga_ls7e_ard_3-0-0_091087_2018-12-11_final
2018-12-28 09:23:01	ga_ls7e_ard_3-0-0_091087_2018-12-27_final
2019-01-13 09:22:32	ga_ls7e_ard_3-0-0_091087_2019-01-12_final
2019-01-29 09:22:00	ga_ls7e_ard_3-0-0_091087_2019-01-28_final
2019-02-14 09:21:32	ga_ls7e_ard_3-0-0_091087_2019-02-13_final
2019-03-02 09:21:03	ga_ls7e_ard_3-1-0_091087_2019-03-01_final
2019-03-18 09:20:31	ga_ls7e_ard_3-1-0_091087_2019-03-17_final
2019-04-03 09:19:59	ga_ls7e_ard_3-0-0_091087_2019-04-02_final
2019-04-19 09:19:25	ga_ls7e_ard_3-0-0_091087_2019-04-18_final
2019-05-05 09:18:48	ga_ls7e_ard_3-0-0_091087_2019-05-04_final
2019-05-21 09:18:11	ga_ls7e_ard_3-0-0_091087_2019-05-20_final
2019-06-06 09:17:37	ga_ls7e_ard_3-0-0_091087_2019-06-05_final
2019-06-22 09:17:02	ga_ls7e_ard_3-0-0_091087_2019-06-21_final
2019-07-24 09:15:48	ga_ls7e_ard_3-0-0_091087_2019-07-23_final
2019-08-09 09:15:08	ga_ls7e_ard_3-0-0_091087_2019-08-08_final
2019-08-25 09:14:28	ga_ls7e_ard_3-1-0_091087_2019-08-24_final
2019-09-10 09:13:47	ga_ls7e_ard_3-1-0_091087_2019-09-09_final
2019-09-26 09:13:04	ga_ls7e_ard_3-1-0_091087_2019-09-25_final
2019-10-12 09:12:25	ga_ls7e_ard_3-1-0_091087_2019-10-11_final
2019-10-28 09:11:43	ga_ls7e_ard_3-1-0_091087_2019-10-27_final
2019-11-13 09:11:00	ga_ls7e_ard_3-1-0_091087_2019-11-12_final
2019-11-29 09:10:15	ga_ls7e_ard_3-1-0_091087_2019-11-28_final
2020-02-01 09:07:01	ga_ls7e_ard_3-1-0_091087_2020-01-31_final
2020-02-17 09:06:12	ga_ls7e_ard_3-1-0_091087_2020-02-16_final
2020-03-04 09:05:21	ga_ls7e_ard_3-1-0_091087_2020-03-03_final
2020-03-20 09:04:28	ga_ls7e_ard_3-1-0_091087_2020-03-19_final
2020-04-21 09:02:38	ga_ls7e_ard_3-1-0_091087_2020-04-20_final
2020-05-07 09:01:41	ga_ls7e_ard_3-1-0_091087_2020-05-06_final
2020-05-23 09:00:42	ga_ls7e_ard_3-1-0_091087_2020-05-22_final
2020-06-08 08:59:45	ga_ls7e_ard_3-1-0_091087_2020-06-07_final
2020-06-24 08:58:49	ga_ls7e_ard_3-1-0_091087_2020-06-23_final
2020-07-10 08:57:51	ga_ls7e_ard_3-1-0_091087_2020-07-09_final
2020-08-11 08:55:52	ga_ls7e_ard_3-1-0_091087_2020-08-10_final
2020-08-27 08:54:50	ga_ls7e_ard_3-1-0_091087_2020-08-26_final
2020-10-14 08:51:43	ga_ls7e_ard_3-1-0_091087_2020-10-13_final
2021-02-19 08:42:36	ga_ls7e_ard_3-2-0_091087_2021-02-18_final
2021-03-07 08:41:22	ga_ls7e_ard_3-2-0_091087_2021-03-06_final
2021-04-08 08:38:47	ga_ls7e_ard_3-2-0_091087_2021-04-07_final
2021-04-24 08:37:26	ga_ls7e_ard_3-2-0_091087_2021-04-23_final
2021-05-10 08:36:06	ga_ls7e_ard_3-2-0_091087_2021-05-09_final
2021-05-26 08:34:44	ga_ls7e_ard_3-2-0_091087_2021-05-25_final
2021-06-11 08:33:25	ga_ls7e_ard_3-2-0_091087_2021-06-10_final
2021-06-27 08:32:06	ga_ls7e_ard_3-2-0_091087_2021-06-26_final
2021-07-13 08:30:45	ga_ls7e_ard_3-2-0_091087_2021-07-12_final
2021-07-29 08:29:21	ga_ls7e_ard_3-2-0_091087_2021-07-28_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