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
2009-09-03 09:36:23	ga_ls7e_ard_3-0-0_094087_2009-09-03_final
2009-09-05 09:24:01	ga_ls7e_ard_3-0-0_092087_2009-09-04_final
2009-09-05 09:24:25	ga_ls7e_ard_3-0-0_092088_2009-09-04_final
2009-09-19 09:36:22	ga_ls7e_ard_3-0-0_094087_2009-09-19_final
2009-10-16 09:18:13	ga_ls7e_ard_3-0-0_091088_2009-10-15_final
2009-11-08 09:24:46	ga_ls7e_ard_3-0-0_092088_2009-11-07_final
2009-11-15 09:30:38	ga_ls7e_ard_3-1-0_093087_2009-11-15_final
2009-11-15 09:31:02	ga_ls7e_ard_3-0-0_093088_2009-11-15_final
2009-11-17 09:18:42	ga_ls7e_ard_3-0-0_091088_2009-11-16_final
2009-12-03 09:18:29	ga_ls7e_ard_3-0-0_091087_2009-12-02_final
2009-12-03 09:18:53	ga_ls7e_ard_3-0-0_091088_2009-12-02_final
2009-12-12 09:12:49	ga_ls7e_ard_3-0-0_090088_2009-12-11_final
2009-12-26 09:25:26	ga_ls7e_ard_3-0-0_092088_2009-12-25_final
2010-01-09 09:37:38	ga_ls7e_ard_3-0-0_094087_2010-01-09_final
2010-01-11 09:25:18	ga_ls7e_ard_3-0-0_092087_2010-01-10_final
2010-01-11 09:25:42	ga_ls7e_ard_3-0-0_092088_2010-01-10_final
2010-01-13 09:13:22	ga_ls7e_ard_3-0-0_090088_2010-01-12_final
2010-01-27 09:25:56	ga_ls7e_ard_3-0-0_092088_2010-01-26_final
2010-02-10 09:38:04	ga_ls7e_ard_3-0-0_094087_2010-02-10_final
2010-02-12 09:26:07	ga_ls7e_ard_3-0-0_092088_2010-02-11_final
2010-02-28 09:26:17	ga_ls7e_ard_3-0-0_092088_2010-02-27_final
2010-03-02 09:13:56	ga_ls7e_ard_3-0-0_090088_2010-03-01_final
2010-03-14 09:38:20	ga_ls7e_ard_3-0-0_094087_2010-03-14_final
2010-03-16 09:25:59	ga_ls7e_ard_3-0-0_092087_2010-03-15_final
2010-03-16 09:26:23	ga_ls7e_ard_3-0-0_092088_2010-03-15_final
2010-04-01 09:26:27	ga_ls7e_ard_3-0-0_092088_2010-03-31_final
2010-04-03 09:14:06	ga_ls7e_ard_3-0-0_090088_2010-04-02_final
2010-04-08 09:32:15	ga_ls7e_ard_3-0-0_093087_2010-04-08_final
2013-10-02 09:29:40	ga_ls7e_ard_3-0-0_092087_2013-10-01_final
2014-02-23 09:30:34	ga_ls7e_ard_3-0-0_092087_2014-02-23_final
2014-02-23 09:30:58	ga_ls7e_ard_3-0-0_092088_2014-02-23_final
2014-03-18 09:36:55	ga_ls7e_ard_3-1-0_093087_2014-03-18_final
2014-03-18 09:37:19	ga_ls7e_ard_3-0-0_093088_2014-03-18_final
2014-11-06 09:32:04	ga_ls7e_ard_3-0-0_092087_2014-11-06_final
2014-11-06 09:32:28	ga_ls7e_ard_3-0-0_092088_2014-11-06_final
2014-12-13 09:50:50	ga_ls7e_ard_3-0-0_095087_2014-12-13_final
2014-12-15 09:38:54	ga_ls7e_ard_3-0-0_093088_2014-12-15_final
2015-01-18 09:26:37	ga_ls7e_ard_3-0-0_091088_2015-01-17_final
2015-03-30 09:32:54	ga_ls7e_ard_3-0-0_092087_2015-03-30_final
2015-04-01 09:20:57	ga_ls7e_ard_3-0-0_090088_2015-03-31_final
2015-04-22 09:39:15	ga_ls7e_ard_3-1-0_093087_2015-04-22_final
2015-04-22 09:39:39	ga_ls7e_ard_3-0-0_093088_2015-04-22_final
2015-05-24 09:39:29	ga_ls7e_ard_3-1-0_093087_2015-05-24_final
2015-05-26 09:27:31	ga_ls7e_ard_3-0-0_091088_2015-05-25_final
2015-08-12 09:39:52	ga_ls7e_ard_3-0-0_093087_2015-08-12_final
2015-08-12 09:40:16	ga_ls7e_ard_3-0-0_093088_2015-08-12_final
2015-08-19 09:46:03	ga_ls7e_ard_3-0-0_094087_2015-08-19_final
2015-09-22 09:34:12	ga_ls7e_ard_3-0-0_092088_2015-09-22_final
2015-09-29 09:40:24	ga_ls7e_ard_3-0-0_093088_2015-09-29_final
2015-10-06 09:46:13	ga_ls7e_ard_3-0-0_094087_2015-10-06_final
2015-10-08 09:34:18	ga_ls7e_ard_3-0-0_092088_2015-10-08_final
2015-10-10 09:21:59	ga_ls7e_ard_3-0-0_090088_2015-10-09_final
2015-10-17 09:28:18	ga_ls7e_ard_3-0-0_091088_2015-10-16_final
2015-12-11 09:35:21	ga_ls7e_ard_3-0-0_092088_2015-12-11_final
2015-12-13 09:23:02	ga_ls7e_ard_3-0-0_090088_2015-12-12_final
2015-12-20 09:29:19	ga_ls7e_ard_3-0-0_091088_2015-12-19_final
2015-12-27 09:35:10	ga_ls7e_ard_3-0-0_092087_2015-12-27_final
2015-12-27 09:35:34	ga_ls7e_ard_3-0-0_092088_2015-12-27_final
2015-12-29 09:23:14	ga_ls7e_ard_3-0-0_090088_2015-12-28_final
2016-01-03 09:41:52	ga_ls7e_ard_3-0-0_093088_2016-01-03_final
2016-02-15 09:23:46	ga_ls7e_ard_3-0-0_090088_2016-02-14_final
2016-02-22 09:29:32	ga_ls7e_ard_3-0-0_091087_2016-02-21_final
2016-03-21 09:54:31	ga_ls7e_ard_3-0-0_095087_2016-03-21_final
2016-03-23 09:42:10	ga_ls7e_ard_3-1-0_093087_2016-03-23_final
2016-04-01 09:36:25	ga_ls7e_ard_3-0-0_092088_2016-04-01_final
2017-03-05 09:24:00	ga_ls7e_ard_3-0-0_090088_2017-03-04_final
2017-03-08 09:54:31	ga_ls7e_ard_3-0-0_095087_2017-03-08_final
2017-03-10 09:42:10	ga_ls7e_ard_3-0-0_093087_2017-03-10_final
2017-03-10 09:42:34	ga_ls7e_ard_3-0-0_093088_2017-03-10_final
2017-04-20 09:36:38	ga_ls7e_ard_3-0-0_092088_2017-04-20_final
2017-04-27 09:42:27	ga_ls7e_ard_3-1-0_093087_2017-04-27_final
2017-04-27 09:42:51	ga_ls7e_ard_3-0-0_093088_2017-04-27_final
2017-05-13 09:42:31	ga_ls7e_ard_3-0-0_093087_2017-05-13_final
2017-05-13 09:42:55	ga_ls7e_ard_3-0-0_093088_2017-05-13_final
2017-05-15 09:30:33	ga_ls7e_ard_3-0-0_091088_2017-05-15_final
2017-05-20 09:48:43	ga_ls7e_ard_3-0-0_094087_2017-05-20_final
2017-05-22 09:36:21	ga_ls7e_ard_3-0-0_092087_2017-05-22_final
2017-05-22 09:36:45	ga_ls7e_ard_3-0-0_092088_2017-05-22_final
2017-05-24 09:24:24	ga_ls7e_ard_3-0-0_090088_2017-05-23_final
2017-06-09 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-06-08_final
2017-06-12 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-06-12_final
2017-06-14 09:43:02	ga_ls7e_ard_3-0-0_093088_2017-06-14_final
2017-06-16 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-06-16_final
2017-06-16 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-06-16_final
2017-06-23 09:36:29	ga_ls7e_ard_3-0-0_092087_2017-06-23_final
2017-06-23 09:36:53	ga_ls7e_ard_3-0-0_092088_2017-06-23_final
2017-08-03 09:30:42	ga_ls7e_ard_3-0-0_091088_2017-08-03_final
2017-08-08 09:48:50	ga_ls7e_ard_3-0-0_094087_2017-08-08_final
2017-08-10 09:36:28	ga_ls7e_ard_3-0-0_092087_2017-08-10_final
2017-08-10 09:36:52	ga_ls7e_ard_3-0-0_092088_2017-08-10_final
2017-08-24 09:48:49	ga_ls7e_ard_3-0-0_094087_2017-08-24_final
2017-08-26 09:36:52	ga_ls7e_ard_3-0-0_092088_2017-08-26_final
2017-08-28 09:24:30	ga_ls7e_ard_3-0-0_090088_2017-08-27_final
2017-09-20 09:30:14	ga_ls7e_ard_3-0-0_091087_2017-09-20_final
2017-09-20 09:30:38	ga_ls7e_ard_3-0-0_091088_2017-09-20_final
2017-10-11 09:48:50	ga_ls7e_ard_3-0-0_094087_2017-10-11_final
2017-11-03 09:55:01	ga_ls7e_ard_3-0-0_095087_2017-11-03_final
2017-11-30 09:36:21	ga_ls7e_ard_3-0-0_092087_2017-11-30_final
2017-11-30 09:36:45	ga_ls7e_ard_3-0-0_092088_2017-11-30_final
2018-08-13 09:32:28	ga_ls7e_ard_3-0-0_092087_2018-08-13_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