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
2013-09-10 10:04:56	ga_ls7e_ard_3-0-0_098083_2013-09-10_final
2013-09-26 10:05:04	ga_ls7e_ard_3-0-0_098083_2013-09-26_final
2013-11-29 10:05:37	ga_ls7e_ard_3-0-0_098083_2013-11-29_final
2013-12-15 10:05:40	ga_ls7e_ard_3-0-0_098083_2013-12-15_final
2014-02-01 10:06:12	ga_ls7e_ard_3-0-0_098083_2014-02-01_final
2014-02-17 10:06:03	ga_ls7e_ard_3-0-0_098083_2014-02-17_final
2014-03-05 10:06:07	ga_ls7e_ard_3-0-0_098083_2014-03-05_final
2014-05-24 10:06:42	ga_ls7e_ard_3-0-0_098083_2014-05-24_final
2014-08-12 10:06:59	ga_ls7e_ard_3-0-0_098083_2014-08-12_final
2014-08-28 10:06:57	ga_ls7e_ard_3-0-0_098083_2014-08-28_final
2014-09-13 10:06:58	ga_ls7e_ard_3-0-0_098083_2014-09-13_final
2014-10-15 10:07:18	ga_ls7e_ard_3-0-0_098083_2014-10-15_final
2014-10-31 10:07:29	ga_ls7e_ard_3-0-0_098083_2014-10-31_final
2015-02-20 10:08:06	ga_ls7e_ard_3-0-0_098083_2015-02-20_final
2015-08-15 10:09:10	ga_ls7e_ard_3-0-0_098083_2015-08-15_final
2015-09-16 10:09:16	ga_ls7e_ard_3-0-0_098083_2015-09-16_final
2015-11-03 10:09:48	ga_ls7e_ard_3-0-0_098083_2015-11-03_final
2015-11-19 10:10:06	ga_ls7e_ard_3-0-0_098083_2015-11-19_final
2015-12-05 10:10:19	ga_ls7e_ard_3-0-0_098083_2015-12-05_final
2016-01-06 10:10:49	ga_ls7e_ard_3-0-0_098083_2016-01-06_final
2016-01-22 10:11:03	ga_ls7e_ard_3-0-0_098083_2016-01-22_final
2016-02-07 10:11:11	ga_ls7e_ard_3-0-0_098083_2016-02-07_final
2016-02-23 10:11:12	ga_ls7e_ard_3-0-0_098083_2016-02-23_final
2016-03-26 10:11:29	ga_ls7e_ard_3-0-0_098083_2016-03-26_final
2016-04-11 10:11:34	ga_ls7e_ard_3-0-0_098083_2016-04-11_final
2016-05-13 10:11:44	ga_ls7e_ard_3-0-0_098083_2016-05-13_final
2016-05-29 10:11:49	ga_ls7e_ard_3-0-0_098083_2016-05-29_final
2016-06-14 10:11:53	ga_ls7e_ard_3-0-0_098083_2016-06-14_final
2016-06-30 10:11:54	ga_ls7e_ard_3-0-0_098083_2016-06-30_final
2016-07-16 10:11:54	ga_ls7e_ard_3-0-0_098083_2016-07-16_final
2016-08-17 10:11:57	ga_ls7e_ard_3-0-0_098083_2016-08-17_final
2016-09-02 10:12:01	ga_ls7e_ard_3-0-0_098083_2016-09-02_final
2016-10-04 10:12:05	ga_ls7e_ard_3-0-0_098083_2016-10-04_final
2016-10-20 10:12:04	ga_ls7e_ard_3-0-0_098083_2016-10-20_final
2016-11-05 10:11:58	ga_ls7e_ard_3-0-0_098083_2016-11-05_final
2016-11-21 10:11:52	ga_ls7e_ard_3-0-0_098083_2016-11-21_final
2016-12-07 10:11:49	ga_ls7e_ard_3-0-0_098083_2016-12-07_final
2016-12-23 10:11:43	ga_ls7e_ard_3-0-0_098083_2016-12-23_final
2017-01-24 10:11:22	ga_ls7e_ard_3-0-0_098083_2017-01-24_final
2017-02-25 10:11:23	ga_ls7e_ard_3-0-0_098083_2017-02-25_final
2017-03-13 10:11:30	ga_ls7e_ard_3-0-0_098083_2017-03-13_final
2017-03-29 10:11:34	ga_ls7e_ard_3-0-0_098083_2017-03-29_final
2017-04-14 10:11:40	ga_ls7e_ard_3-0-0_098083_2017-04-14_final
2017-04-30 10:11:46	ga_ls7e_ard_3-0-0_098083_2017-04-30_final
2017-06-01 10:11:53	ga_ls7e_ard_3-0-0_098083_2017-06-01_final
2017-06-17 10:11:57	ga_ls7e_ard_3-0-0_098083_2017-06-17_final
2017-07-03 10:11:59	ga_ls7e_ard_3-0-0_098083_2017-07-03_final
2017-07-19 10:11:59	ga_ls7e_ard_3-0-0_098083_2017-07-19_final
2017-08-04 10:11:58	ga_ls7e_ard_3-0-0_098083_2017-08-04_final
2017-08-20 10:11:57	ga_ls7e_ard_3-0-0_098083_2017-08-20_final
2017-09-05 10:11:57	ga_ls7e_ard_3-0-0_098083_2017-09-05_final
2017-09-21 10:11:55	ga_ls7e_ard_3-0-0_098083_2017-09-21_final
2017-10-07 10:11:57	ga_ls7e_ard_3-0-0_098083_2017-10-07_final
2017-10-23 10:11:58	ga_ls7e_ard_3-0-0_098083_2017-10-23_final
2017-11-08 10:11:57	ga_ls7e_ard_3-0-0_098083_2017-11-08_final
2017-12-10 10:11:45	ga_ls7e_ard_3-0-0_098083_2017-12-10_final
2017-12-26 10:11:35	ga_ls7e_ard_3-0-0_098083_2017-12-26_final
2018-01-11 10:11:22	ga_ls7e_ard_3-0-0_098083_2018-01-11_final
2018-01-27 10:11:07	ga_ls7e_ard_3-0-0_098083_2018-01-27_final
2018-02-12 10:10:53	ga_ls7e_ard_3-0-0_098083_2018-02-12_final
2018-02-28 10:10:43	ga_ls7e_ard_3-0-0_098083_2018-02-28_final
2018-03-16 10:10:32	ga_ls7e_ard_3-0-0_098083_2018-03-16_final
2018-04-01 10:10:18	ga_ls7e_ard_3-0-0_098083_2018-04-01_final
2018-04-17 10:10:03	ga_ls7e_ard_3-0-0_098083_2018-04-17_final
2018-05-19 10:09:30	ga_ls7e_ard_3-0-0_098083_2018-05-19_final
2018-06-04 10:09:14	ga_ls7e_ard_3-0-0_098083_2018-06-04_final
2018-06-20 10:08:57	ga_ls7e_ard_3-0-0_098083_2018-06-20_final
2018-07-06 10:08:38	ga_ls7e_ard_3-0-0_098083_2018-07-06_final
2018-07-22 10:08:21	ga_ls7e_ard_3-0-0_098083_2018-07-22_final
2018-08-07 10:08:03	ga_ls7e_ard_3-0-0_098083_2018-08-07_final
2018-08-23 10:07:45	ga_ls7e_ard_3-0-0_098083_2018-08-23_final
2018-09-08 10:07:25	ga_ls7e_ard_3-0-0_098083_2018-09-08_final
2018-09-24 10:07:03	ga_ls7e_ard_3-0-0_098083_2018-09-24_final
2018-10-10 10:06:40	ga_ls7e_ard_3-0-0_098083_2018-10-10_final
2018-10-26 10:06:18	ga_ls7e_ard_3-0-0_098083_2018-10-26_final
2018-11-11 10:05:56	ga_ls7e_ard_3-0-0_098083_2018-11-11_final
2019-01-30 10:03:38	ga_ls7e_ard_3-0-0_098083_2019-01-30_final
2019-02-15 10:03:10	ga_ls7e_ard_3-0-0_098083_2019-02-15_final
2019-03-03 10:02:40	ga_ls7e_ard_3-1-0_098083_2019-03-03_final
2019-04-04 10:01:37	ga_ls7e_ard_3-0-0_098083_2019-04-04_final
2019-04-20 10:01:02	ga_ls7e_ard_3-0-0_098083_2019-04-20_final
2019-05-22 09:59:48	ga_ls7e_ard_3-0-0_098083_2019-05-22_final
2019-06-07 09:59:15	ga_ls7e_ard_3-0-0_098083_2019-06-07_final
2019-06-23 09:58:39	ga_ls7e_ard_3-0-0_098083_2019-06-23_final
2019-08-10 09:56:46	ga_ls7e_ard_3-0-0_098083_2019-08-10_final
2019-08-26 09:56:05	ga_ls7e_ard_3-1-0_098083_2019-08-26_final
2019-09-11 09:55:24	ga_ls7e_ard_3-1-0_098083_2019-09-11_final
2019-09-27 09:54:41	ga_ls7e_ard_3-1-0_098083_2019-09-27_final
2019-11-14 09:52:37	ga_ls7e_ard_3-1-0_098083_2019-11-14_final
2019-11-30 09:51:51	ga_ls7e_ard_3-1-0_098083_2019-11-30_final
2020-01-01 09:50:14	ga_ls7e_ard_3-1-0_098083_2020-01-01_final
2020-01-17 09:49:26	ga_ls7e_ard_3-1-0_098083_2020-01-17_final
2020-02-02 09:48:38	ga_ls7e_ard_3-1-0_098083_2020-02-02_final
2020-02-18 09:47:48	ga_ls7e_ard_3-1-0_098083_2020-02-18_final
2020-03-05 09:46:57	ga_ls7e_ard_3-1-0_098083_2020-03-05_final
2020-03-21 09:46:05	ga_ls7e_ard_3-1-0_098083_2020-03-21_final
2020-04-22 09:44:15	ga_ls7e_ard_3-1-0_098083_2020-04-22_final
2020-05-08 09:43:17	ga_ls7e_ard_3-1-0_098083_2020-05-08_final
2020-06-09 09:41:22	ga_ls7e_ard_3-1-0_098083_2020-06-09_final
2020-06-25 09:40:25	ga_ls7e_ard_3-1-0_098083_2020-06-25_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