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:

Add field

First 100 results (query limit)

Time (local)	Label
2012-08-24 09:52:11	ga_ls7e_ard_3-0-0_096083_2012-08-24_final
2013-01-31 09:53:11	ga_ls7e_ard_3-0-0_096083_2013-01-31_final
2013-05-07 09:52:52	ga_ls7e_ard_3-0-0_096083_2013-05-07_final
2013-07-10 09:52:23	ga_ls7e_ard_3-0-0_096083_2013-07-10_final
2013-08-27 09:52:23	ga_ls7e_ard_3-0-0_096083_2013-08-27_final
2013-12-01 09:53:17	ga_ls7e_ard_3-0-0_096083_2013-12-01_final
2014-04-24 09:54:10	ga_ls7e_ard_3-0-0_096083_2014-04-24_final
2014-05-10 09:54:14	ga_ls7e_ard_3-0-0_096083_2014-05-10_final
2014-06-27 09:54:27	ga_ls7e_ard_3-0-0_096083_2014-06-27_final
2014-07-13 09:54:30	ga_ls7e_ard_3-0-0_096083_2014-07-13_final
2014-07-29 09:54:36	ga_ls7e_ard_3-0-0_096083_2014-07-29_final
2014-08-14 09:54:37	ga_ls7e_ard_3-0-0_096083_2014-08-14_final
2014-08-30 09:54:36	ga_ls7e_ard_3-0-0_096083_2014-08-30_final
2014-09-15 09:54:38	ga_ls7e_ard_3-0-0_096083_2014-09-15_final
2014-10-01 09:54:50	ga_ls7e_ard_3-0-0_096083_2014-10-01_final
2014-10-17 09:54:59	ga_ls7e_ard_3-0-0_096083_2014-10-17_final
2014-11-02 09:55:09	ga_ls7e_ard_3-0-0_096083_2014-11-02_final
2014-11-18 09:55:12	ga_ls7e_ard_3-0-0_096083_2014-11-18_final
2014-12-04 09:55:21	ga_ls7e_ard_3-0-0_096083_2014-12-04_final
2014-12-20 09:55:30	ga_ls7e_ard_3-0-0_096083_2014-12-20_final
2015-01-05 09:55:31	ga_ls7e_ard_3-0-0_096083_2015-01-05_final
2015-01-21 09:55:31	ga_ls7e_ard_3-0-0_096083_2015-01-21_final
2015-02-06 09:55:40	ga_ls7e_ard_3-0-0_096083_2015-02-06_final
2015-02-22 09:55:46	ga_ls7e_ard_3-0-0_096083_2015-02-22_final
2015-03-10 09:55:51	ga_ls7e_ard_3-0-0_096083_2015-03-10_final
2015-03-26 09:56:01	ga_ls7e_ard_3-0-0_096083_2015-03-26_final
2015-04-11 09:56:10	ga_ls7e_ard_3-0-0_096083_2015-04-11_final
2015-05-13 09:56:24	ga_ls7e_ard_3-0-0_096083_2015-05-13_final
2015-05-29 09:56:27	ga_ls7e_ard_3-0-0_096083_2015-05-29_final
2015-06-14 09:56:35	ga_ls7e_ard_3-0-0_096083_2015-06-14_final
2015-06-30 09:56:37	ga_ls7e_ard_3-0-0_096083_2015-06-30_final
2015-07-16 09:56:43	ga_ls7e_ard_3-0-0_096083_2015-07-16_final
2015-08-01 09:56:45	ga_ls7e_ard_3-0-0_096083_2015-08-01_final
2015-08-17 09:56:49	ga_ls7e_ard_3-0-0_096083_2015-08-17_final
2015-09-18 09:56:55	ga_ls7e_ard_3-0-0_096083_2015-09-18_final
2015-10-04 09:56:56	ga_ls7e_ard_3-0-0_096083_2015-10-04_final
2015-11-05 09:57:29	ga_ls7e_ard_3-0-0_096083_2015-11-05_final
2015-11-21 09:57:46	ga_ls7e_ard_3-0-0_096083_2015-11-21_final
2015-12-07 09:58:00	ga_ls7e_ard_3-0-0_096083_2015-12-07_final
2015-12-23 09:58:15	ga_ls7e_ard_3-0-0_096083_2015-12-23_final
2016-01-08 09:58:30	ga_ls7e_ard_3-0-0_096083_2016-01-08_final
2016-01-24 09:58:42	ga_ls7e_ard_3-0-0_096083_2016-01-24_final
2016-02-09 09:58:50	ga_ls7e_ard_3-0-0_096083_2016-02-09_final
2016-02-25 09:58:52	ga_ls7e_ard_3-0-0_096083_2016-02-25_final
2016-03-12 09:59:03	ga_ls7e_ard_3-0-0_096083_2016-03-12_final
2016-03-28 09:59:08	ga_ls7e_ard_3-0-0_096083_2016-03-28_final
2016-04-13 09:59:13	ga_ls7e_ard_3-0-0_096083_2016-04-13_final
2016-05-15 09:59:22	ga_ls7e_ard_3-0-0_096083_2016-05-15_final
2016-06-16 09:59:32	ga_ls7e_ard_3-0-0_096083_2016-06-16_final
2016-07-02 09:59:32	ga_ls7e_ard_3-0-0_096083_2016-07-02_final
2016-07-18 09:59:33	ga_ls7e_ard_3-0-0_096083_2016-07-18_final
2016-08-03 09:59:35	ga_ls7e_ard_3-0-0_096083_2016-08-03_final
2016-08-19 09:59:36	ga_ls7e_ard_3-0-0_096083_2016-08-19_final
2016-09-04 09:59:40	ga_ls7e_ard_3-0-0_096083_2016-09-04_final
2016-09-20 09:59:42	ga_ls7e_ard_3-0-0_096083_2016-09-20_final
2016-11-07 09:59:35	ga_ls7e_ard_3-0-0_096083_2016-11-07_final
2016-11-23 09:59:30	ga_ls7e_ard_3-0-0_096083_2016-11-23_final
2016-12-09 09:59:27	ga_ls7e_ard_3-0-0_096083_2016-12-09_final
2017-01-10 09:59:10	ga_ls7e_ard_3-0-0_096083_2017-01-10_final
2017-01-26 09:59:00	ga_ls7e_ard_3-0-0_096083_2017-01-26_final
2017-02-27 09:59:02	ga_ls7e_ard_3-0-0_096083_2017-02-27_final
2017-03-31 09:59:13	ga_ls7e_ard_3-0-0_096083_2017-03-31_final
2017-06-19 09:59:36	ga_ls7e_ard_3-0-0_096083_2017-06-19_final
2017-08-22 09:59:35	ga_ls7e_ard_3-0-0_096083_2017-08-22_final
2017-09-07 09:59:35	ga_ls7e_ard_3-0-0_096083_2017-09-07_final
2017-10-25 09:59:37	ga_ls7e_ard_3-0-0_096083_2017-10-25_final
2017-12-12 09:59:22	ga_ls7e_ard_3-0-0_096083_2017-12-12_final
2018-02-14 09:58:30	ga_ls7e_ard_3-0-0_096083_2018-02-14_final
2018-04-03 09:57:55	ga_ls7e_ard_3-0-0_096083_2018-04-03_final
2018-05-05 09:57:21	ga_ls7e_ard_3-0-0_096083_2018-05-05_final
2018-06-22 09:56:33	ga_ls7e_ard_3-0-0_096083_2018-06-22_final
2018-08-09 09:55:40	ga_ls7e_ard_3-0-0_096083_2018-08-09_final
2020-12-04 09:17:31	ga_ls7e_ard_3-1-0_096083_2020-12-03_final
2020-12-20 09:16:18	ga_ls7e_ard_3-1-0_096083_2020-12-19_final
2021-01-05 09:15:11	ga_ls7e_ard_3-1-0_096083_2021-01-04_final
2021-01-21 09:14:03	ga_ls7e_ard_3-2-0_096083_2021-01-20_final
2021-02-06 09:12:53	ga_ls7e_ard_3-2-0_096083_2021-02-05_final
2021-02-22 09:11:41	ga_ls7e_ard_3-2-0_096083_2021-02-21_final
2021-03-10 09:10:26	ga_ls7e_ard_3-2-0_096083_2021-03-09_final
2021-03-26 09:09:09	ga_ls7e_ard_3-2-0_096083_2021-03-25_final
2021-04-11 09:07:50	ga_ls7e_ard_3-2-0_096083_2021-04-10_final
2021-04-27 09:06:29	ga_ls7e_ard_3-2-0_096083_2021-04-26_final
2021-05-13 09:05:09	ga_ls7e_ard_3-2-0_096083_2021-05-12_final
2021-05-29 09:03:47	ga_ls7e_ard_3-2-0_096083_2021-05-28_final
2021-06-30 09:01:09	ga_ls7e_ard_3-2-0_096083_2021-06-29_final
2021-07-16 08:59:47	ga_ls7e_ard_3-2-0_096083_2021-07-15_final
2021-08-01 08:58:24	ga_ls7e_ard_3-2-0_096083_2021-07-31_final
2021-08-17 08:56:58	ga_ls7e_ard_3-2-0_096083_2021-08-16_final
2021-09-02 08:55:36	ga_ls7e_ard_3-2-0_096083_2021-09-01_final
2021-09-18 08:54:11	ga_ls7e_ard_3-2-0_096083_2021-09-17_final
2021-10-04 08:52:45	ga_ls7e_ard_3-2-0_096083_2021-10-03_final
2021-10-20 08:51:20	ga_ls7e_ard_3-2-0_096083_2021-10-19_final
2021-11-05 08:49:51	ga_ls7e_ard_3-2-0_096083_2021-11-04_final
2021-11-21 08:48:18	ga_ls7e_ard_3-2-1_096083_2021-11-20_final
2021-12-07 08:46:48	ga_ls7e_ard_3-2-1_096083_2021-12-06_final
2021-12-23 08:45:15	ga_ls7e_ard_3-2-1_096083_2021-12-22_final
2022-01-24 08:42:08	ga_ls7e_ard_3-2-1_096083_2022-01-23_final
2022-02-09 08:40:32	ga_ls7e_ard_3-2-1_096083_2022-02-08_final
2022-02-25 08:38:57	ga_ls7e_ard_3-2-1_096083_2022-02-24_final
2022-03-13 08:37:23	ga_ls7e_ard_3-2-1_096083_2022-03-12_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