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
2009-08-16 09:48:20	ga_ls7e_ard_3-1-0_096086_2009-08-16_final
2009-08-18 09:35:59	ga_ls7e_ard_3-0-0_094086_2009-08-18_final
2010-01-22 09:06:31	ga_ls7e_ard_3-0-0_089086_2010-01-21_final
2010-01-25 09:37:28	ga_ls7e_ard_3-0-0_094086_2010-01-25_final
2010-01-27 09:25:08	ga_ls7e_ard_3-0-0_092086_2010-01-26_final
2010-06-04 09:25:35	ga_ls7e_ard_3-0-0_092086_2010-06-03_final
2010-06-06 09:13:13	ga_ls7e_ard_3-0-0_090086_2010-06-05_final
2010-07-20 09:38:02	ga_ls7e_ard_3-0-0_094086_2010-07-20_final
2010-07-22 09:25:40	ga_ls7e_ard_3-0-0_092086_2010-07-21_final
2010-07-24 09:13:19	ga_ls7e_ard_3-0-0_090086_2010-07-23_final
2010-07-27 09:44:13	ga_ls7e_ard_3-0-0_095086_2010-07-27_final
2010-11-11 09:26:07	ga_ls7e_ard_3-0-0_092086_2010-11-10_final
2010-11-13 09:13:47	ga_ls7e_ard_3-0-0_090086_2010-11-12_final
2010-12-13 09:26:27	ga_ls7e_ard_3-0-0_092086_2010-12-12_final
2010-12-15 09:14:07	ga_ls7e_ard_3-0-0_090086_2010-12-14_final
2010-12-18 09:45:02	ga_ls7e_ard_3-0-0_095086_2010-12-18_final
2010-12-22 09:20:20	ga_ls7e_ard_3-1-0_091086_2010-12-21_final
2011-01-26 09:51:32	ga_ls7e_ard_3-1-0_096086_2011-01-26_final
2011-01-28 09:39:11	ga_ls7e_ard_3-0-0_094086_2011-01-28_final
2011-01-30 09:26:50	ga_ls7e_ard_3-0-0_092086_2011-01-29_final
2011-02-01 09:14:29	ga_ls7e_ard_3-0-0_090086_2011-01-31_final
2013-08-13 09:41:03	ga_ls7e_ard_3-0-0_094086_2013-08-13_final
2013-08-15 09:28:44	ga_ls7e_ard_3-0-0_092086_2013-08-14_final
2014-12-26 09:19:37	ga_ls7e_ard_3-0-0_090086_2014-12-25_final
2015-03-28 09:44:52	ga_ls7e_ard_3-0-0_094086_2015-03-28_final
2015-04-13 09:45:01	ga_ls7e_ard_3-0-0_094086_2015-04-13_final
2015-04-15 09:32:40	ga_ls7e_ard_3-0-0_092086_2015-04-15_final
2015-06-29 09:14:33	ga_ls7e_ard_3-1-0_089086_2015-06-28_final
2015-06-30 09:57:49	ga_ls7e_ard_3-1-0_096086_2015-06-30_final
2015-07-02 09:45:28	ga_ls7e_ard_3-0-0_094086_2015-07-02_final
2015-07-04 09:33:07	ga_ls7e_ard_3-0-0_092086_2015-07-04_final
2015-08-23 09:20:56	ga_ls7e_ard_3-0-0_090086_2015-08-22_final
2015-08-26 09:51:50	ga_ls7e_ard_3-0-0_095086_2015-08-26_final
2015-10-08 09:33:30	ga_ls7e_ard_3-0-0_092086_2015-10-08_final
2015-11-25 09:34:18	ga_ls7e_ard_3-0-0_092086_2015-11-25_final
2015-11-27 09:21:58	ga_ls7e_ard_3-0-0_090086_2015-11-26_final
2015-11-30 09:52:54	ga_ls7e_ard_3-0-0_095086_2015-11-30_final
2015-12-02 09:40:33	ga_ls7e_ard_3-0-0_093086_2015-12-02_final
2015-12-04 09:28:14	ga_ls7e_ard_3-1-0_091086_2015-12-03_final
2016-01-03 09:41:04	ga_ls7e_ard_3-0-0_093086_2016-01-03_final
2016-01-24 09:59:54	ga_ls7e_ard_3-1-0_096086_2016-01-24_final
2016-01-26 09:47:34	ga_ls7e_ard_3-0-0_094086_2016-01-26_final
2016-02-27 09:47:43	ga_ls7e_ard_3-0-0_094086_2016-02-27_final
2016-02-29 09:35:23	ga_ls7e_ard_3-0-0_092086_2016-02-29_final
2016-03-02 09:23:03	ga_ls7e_ard_3-0-0_090086_2016-03-01_final
2016-03-07 09:41:39	ga_ls7e_ard_3-0-0_093086_2016-03-07_final
2016-03-09 09:29:19	ga_ls7e_ard_3-1-0_091086_2016-03-08_final
2016-04-03 09:23:15	ga_ls7e_ard_3-0-0_090086_2016-04-02_final
2016-04-06 09:54:10	ga_ls7e_ard_3-0-0_095086_2016-04-06_final
2016-04-08 09:41:50	ga_ls7e_ard_3-0-0_093086_2016-04-08_final
2017-03-10 09:41:46	ga_ls7e_ard_3-0-0_093086_2017-03-10_final
2017-03-30 09:17:09	ga_ls7e_ard_3-0-0_089086_2017-03-29_final
2017-04-09 09:54:17	ga_ls7e_ard_3-0-0_095086_2017-04-09_final
2017-04-11 09:41:56	ga_ls7e_ard_3-0-0_093086_2017-04-11_final
2017-04-13 09:29:36	ga_ls7e_ard_3-1-0_091086_2017-04-12_final
2017-04-27 09:42:03	ga_ls7e_ard_3-0-0_093086_2017-04-27_final
2017-05-11 09:54:28	ga_ls7e_ard_3-0-0_095086_2017-05-11_final
2017-05-13 09:42:07	ga_ls7e_ard_3-0-0_093086_2017-05-13_final
2017-05-15 09:29:45	ga_ls7e_ard_3-1-0_091086_2017-05-14_final
2017-05-17 09:17:24	ga_ls7e_ard_3-0-0_089086_2017-05-16_final
2017-05-22 09:35:57	ga_ls7e_ard_3-0-0_092086_2017-05-22_final
2017-06-16 09:29:53	ga_ls7e_ard_3-1-0_091086_2017-06-15_final
2017-06-18 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-06-17_final
2017-06-19 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-06-19_final
2017-06-21 09:48:27	ga_ls7e_ard_3-0-0_094086_2017-06-21_final
2017-06-23 09:36:05	ga_ls7e_ard_3-0-0_092086_2017-06-23_final
2017-07-20 09:17:34	ga_ls7e_ard_3-0-0_089086_2017-07-19_final
2017-07-21 10:00:50	ga_ls7e_ard_3-1-0_096086_2017-07-21_final
2017-08-05 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-08-04_final
2017-08-06 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-08-06_final
2017-08-08 09:48:26	ga_ls7e_ard_3-0-0_094086_2017-08-08_final
2017-08-10 09:36:04	ga_ls7e_ard_3-0-0_092086_2017-08-10_final
2017-11-25 09:17:27	ga_ls7e_ard_3-0-0_089086_2017-11-24_final
2017-11-28 09:48:20	ga_ls7e_ard_3-0-0_094086_2017-11-28_final
2017-12-18 09:23:26	ga_ls7e_ard_3-0-0_090086_2017-12-17_final
2018-01-28 09:16:40	ga_ls7e_ard_3-0-0_089086_2018-01-27_final
2018-02-27 09:28:40	ga_ls7e_ard_3-1-0_091086_2018-02-26_final
2018-05-09 09:33:45	ga_ls7e_ard_3-0-0_092086_2018-05-09_final
2018-05-11 09:21:22	ga_ls7e_ard_3-0-0_090086_2018-05-10_final
2018-08-04 09:38:25	ga_ls7e_ard_3-0-0_093086_2018-08-04_final
2018-08-06 09:26:01	ga_ls7e_ard_3-1-0_091086_2018-08-05_final
2018-11-26 09:23:07	ga_ls7e_ard_3-0-0_091085_2018-11-25_final
2018-11-26 09:23:31	ga_ls7e_ard_3-1-0_091086_2018-11-25_final
2018-12-19 09:29:04	ga_ls7e_ard_3-0-0_092086_2018-12-18_final
2019-01-09 09:46:58	ga_ls7e_ard_3-0-0_095086_2019-01-09_final
2019-01-11 09:34:09	ga_ls7e_ard_3-0-0_093085_2019-01-11_final
2019-01-11 09:34:33	ga_ls7e_ard_3-0-0_093086_2019-01-11_final
2019-04-17 09:31:27	ga_ls7e_ard_3-0-0_093086_2019-04-17_final
2019-04-19 09:18:37	ga_ls7e_ard_3-0-0_091085_2019-04-18_final
2019-04-19 09:19:01	ga_ls7e_ard_3-1-0_091086_2019-04-18_final
2019-04-20 10:01:50	ga_ls7e_ard_3-0-0_098085_2019-04-20_final
2019-04-21 09:06:35	ga_ls7e_ard_3-0-0_089086_2019-04-20_final
2019-04-22 09:49:48	ga_ls7e_ard_3-1-0_096086_2019-04-22_final
2019-05-17 09:42:16	ga_ls7e_ard_3-0-0_095085_2019-05-17_final
2019-05-17 09:42:40	ga_ls7e_ard_3-0-0_095086_2019-05-17_final
2019-05-19 09:30:13	ga_ls7e_ard_3-0-0_093086_2019-05-19_final
2019-05-21 09:17:23	ga_ls7e_ard_3-0-0_091085_2019-05-20_final
2019-05-21 09:17:47	ga_ls7e_ard_3-1-0_091086_2019-05-20_final
2019-05-22 10:00:36	ga_ls7e_ard_3-0-0_098085_2019-05-22_final
2019-05-23 09:04:57	ga_ls7e_ard_3-0-0_089085_2019-05-22_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