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
2013-02-01 10:35:15	ga_ls7e_ard_3-0-0_103080_2013-02-01_final
2013-05-24 10:34:52	ga_ls7e_ard_3-0-0_103080_2013-05-24_final
2013-11-16 10:35:13	ga_ls7e_ard_3-0-0_103080_2013-11-16_final
2013-12-18 10:35:21	ga_ls7e_ard_3-0-0_103080_2013-12-18_final
2014-01-03 10:35:29	ga_ls7e_ard_3-0-0_103080_2014-01-03_final
2014-03-08 10:35:50	ga_ls7e_ard_3-0-0_103080_2014-03-08_final
2014-05-11 10:36:19	ga_ls7e_ard_3-0-0_103080_2014-05-11_final
2014-06-28 10:36:31	ga_ls7e_ard_3-0-0_103080_2014-06-28_final
2014-07-30 10:36:40	ga_ls7e_ard_3-0-0_103080_2014-07-30_final
2014-08-15 10:36:41	ga_ls7e_ard_3-0-0_103080_2014-08-15_final
2014-08-31 10:36:40	ga_ls7e_ard_3-0-0_103080_2014-08-31_final
2014-09-16 10:36:42	ga_ls7e_ard_3-0-0_103080_2014-09-16_final
2014-11-03 10:37:14	ga_ls7e_ard_3-0-0_103080_2014-11-03_final
2014-12-21 10:37:34	ga_ls7e_ard_3-0-0_103080_2014-12-21_final
2015-04-12 10:38:14	ga_ls7e_ard_3-0-0_103080_2015-04-12_final
2015-05-14 10:38:28	ga_ls7e_ard_3-0-0_103080_2015-05-14_final
2015-05-30 10:38:32	ga_ls7e_ard_3-0-0_103080_2015-05-30_final
2015-06-15 10:38:39	ga_ls7e_ard_3-0-0_103080_2015-06-15_final
2015-07-01 10:38:41	ga_ls7e_ard_3-0-0_103080_2015-07-01_final
2015-07-17 10:38:47	ga_ls7e_ard_3-0-0_103080_2015-07-17_final
2015-09-03 10:38:53	ga_ls7e_ard_3-0-0_103080_2015-09-03_final
2015-09-19 10:38:59	ga_ls7e_ard_3-0-0_103080_2015-09-19_final
2015-10-05 10:39:01	ga_ls7e_ard_3-0-0_103080_2015-10-05_final
2015-10-21 10:39:21	ga_ls7e_ard_3-0-0_103080_2015-10-21_final
2015-11-06 10:39:34	ga_ls7e_ard_3-0-0_103080_2015-11-06_final
2015-11-22 10:39:51	ga_ls7e_ard_3-0-0_103080_2015-11-22_final
2015-12-08 10:40:05	ga_ls7e_ard_3-0-0_103080_2015-12-08_final
2015-12-24 10:40:20	ga_ls7e_ard_3-0-0_103080_2015-12-24_final
2016-01-09 10:40:35	ga_ls7e_ard_3-0-0_103080_2016-01-09_final
2016-01-25 10:40:47	ga_ls7e_ard_3-0-0_103080_2016-01-25_final
2016-02-10 10:40:54	ga_ls7e_ard_3-0-0_103080_2016-02-10_final
2016-02-26 10:40:56	ga_ls7e_ard_3-0-0_103080_2016-02-26_final
2016-03-13 10:41:07	ga_ls7e_ard_3-0-0_103080_2016-03-13_final
2016-03-29 10:41:12	ga_ls7e_ard_3-0-0_103080_2016-03-29_final
2016-04-14 10:41:18	ga_ls7e_ard_3-0-0_103080_2016-04-14_final
2016-04-30 10:41:24	ga_ls7e_ard_3-0-0_103080_2016-04-30_final
2016-06-01 10:41:32	ga_ls7e_ard_3-0-0_103080_2016-06-01_final
2016-06-17 10:41:36	ga_ls7e_ard_3-0-0_103080_2016-06-17_final
2016-07-03 10:41:36	ga_ls7e_ard_3-0-0_103080_2016-07-03_final
2016-07-19 10:41:37	ga_ls7e_ard_3-0-0_103080_2016-07-19_final
2016-08-04 10:41:39	ga_ls7e_ard_3-0-0_103080_2016-08-04_final
2016-08-20 10:41:40	ga_ls7e_ard_3-0-0_103080_2016-08-20_final
2016-09-05 10:41:44	ga_ls7e_ard_3-0-0_103080_2016-09-05_final
2016-09-21 10:41:46	ga_ls7e_ard_3-0-0_103080_2016-09-21_final
2016-10-07 10:41:48	ga_ls7e_ard_3-0-0_103080_2016-10-07_final
2016-10-23 10:41:45	ga_ls7e_ard_3-0-0_103080_2016-10-23_final
2016-11-08 10:41:39	ga_ls7e_ard_3-0-0_103080_2016-11-08_final
2016-11-24 10:41:34	ga_ls7e_ard_3-0-0_103080_2016-11-24_final
2016-12-10 10:41:30	ga_ls7e_ard_3-0-0_103080_2016-12-10_final
2017-01-11 10:41:14	ga_ls7e_ard_3-0-0_103080_2017-01-11_final
2017-01-27 10:41:03	ga_ls7e_ard_3-0-0_103080_2017-01-27_final
2017-02-12 10:40:57	ga_ls7e_ard_3-0-0_103080_2017-02-12_final
2017-02-28 10:41:06	ga_ls7e_ard_3-0-0_103080_2017-02-28_final
2017-03-16 10:41:13	ga_ls7e_ard_3-0-0_103080_2017-03-16_final
2017-04-01 10:41:17	ga_ls7e_ard_3-0-0_103080_2017-04-01_final
2017-05-03 10:41:29	ga_ls7e_ard_3-0-0_103080_2017-05-03_final
2017-06-04 10:41:36	ga_ls7e_ard_3-0-0_103080_2017-06-04_final
2017-06-20 10:41:40	ga_ls7e_ard_3-0-0_103080_2017-06-20_final
2017-07-06 10:41:42	ga_ls7e_ard_3-0-0_103080_2017-07-06_final
2017-07-22 10:41:42	ga_ls7e_ard_3-0-0_103080_2017-07-22_final
2017-08-07 10:41:40	ga_ls7e_ard_3-0-0_103080_2017-08-07_final
2017-08-23 10:41:39	ga_ls7e_ard_3-0-0_103080_2017-08-23_final
2017-09-08 10:41:38	ga_ls7e_ard_3-0-0_103080_2017-09-08_final
2017-09-24 10:41:37	ga_ls7e_ard_3-0-0_103080_2017-09-24_final
2017-10-10 10:41:39	ga_ls7e_ard_3-0-0_103080_2017-10-10_final
2017-10-26 10:41:41	ga_ls7e_ard_3-0-0_103080_2017-10-26_final
2017-11-11 10:41:39	ga_ls7e_ard_3-0-0_103080_2017-11-11_final
2017-11-27 10:41:34	ga_ls7e_ard_3-0-0_103080_2017-11-27_final
2018-01-14 10:41:01	ga_ls7e_ard_3-0-0_103080_2018-01-14_final
2018-02-15 10:40:33	ga_ls7e_ard_3-0-0_103080_2018-02-15_final
2018-03-03 10:40:23	ga_ls7e_ard_3-0-0_103080_2018-03-03_final
2018-03-19 10:40:11	ga_ls7e_ard_3-0-0_103080_2018-03-19_final
2018-04-04 10:39:58	ga_ls7e_ard_3-0-0_103080_2018-04-04_final
2018-04-20 10:39:42	ga_ls7e_ard_3-0-0_103080_2018-04-20_final
2018-05-06 10:39:24	ga_ls7e_ard_3-0-0_103080_2018-05-06_final
2018-05-22 10:39:09	ga_ls7e_ard_3-0-0_103080_2018-05-22_final
2018-06-23 10:38:36	ga_ls7e_ard_3-0-0_103080_2018-06-23_final
2018-07-25 10:38:00	ga_ls7e_ard_3-0-0_103080_2018-07-25_final
2018-08-10 10:37:42	ga_ls7e_ard_3-0-0_103080_2018-08-10_final
2018-09-11 10:37:03	ga_ls7e_ard_3-0-0_103080_2018-09-11_final
2018-09-27 10:36:41	ga_ls7e_ard_3-0-0_103080_2018-09-27_final
2018-10-13 10:36:17	ga_ls7e_ard_3-0-0_103080_2018-10-13_final
2018-10-29 10:35:56	ga_ls7e_ard_3-0-0_103080_2018-10-29_final
2018-11-14 10:35:34	ga_ls7e_ard_3-0-0_103080_2018-11-14_final
2018-11-30 10:35:10	ga_ls7e_ard_3-0-0_103080_2018-11-30_final
2018-12-16 10:34:44	ga_ls7e_ard_3-0-0_103080_2018-12-16_final
2019-01-01 10:34:16	ga_ls7e_ard_3-0-0_103080_2019-01-01_final
2019-01-17 10:33:46	ga_ls7e_ard_3-0-0_103080_2019-01-17_final
2019-02-02 10:33:15	ga_ls7e_ard_3-0-0_103080_2019-02-02_final
2019-03-06 10:32:17	ga_ls7e_ard_3-1-0_103080_2019-03-06_final
2019-03-22 10:31:45	ga_ls7e_ard_3-1-0_103080_2019-03-22_final
2019-04-07 10:31:12	ga_ls7e_ard_3-0-0_103080_2019-04-07_final
2019-04-23 10:30:38	ga_ls7e_ard_3-0-0_103080_2019-04-23_final
2019-05-25 10:29:24	ga_ls7e_ard_3-0-0_103080_2019-05-25_final
2019-06-10 10:28:50	ga_ls7e_ard_3-0-0_103080_2019-06-10_final
2019-07-12 10:27:38	ga_ls7e_ard_3-0-0_103080_2019-07-12_final
2019-07-28 10:27:00	ga_ls7e_ard_3-0-0_103080_2019-07-28_final
2019-08-13 10:26:20	ga_ls7e_ard_3-0-0_103080_2019-08-13_final
2019-08-29 10:25:40	ga_ls7e_ard_3-1-0_103080_2019-08-29_final
2019-10-16 10:23:36	ga_ls7e_ard_3-1-0_103080_2019-10-16_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