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
2012-03-09 10:34:30	ga_ls7e_ard_3-0-0_104068_2012-03-09_final
2012-03-25 10:34:33	ga_ls7e_ard_3-0-0_104068_2012-03-25_final
2012-04-26 10:34:45	ga_ls7e_ard_3-0-0_104068_2012-04-26_final
2012-05-12 10:35:07	ga_ls7e_ard_3-0-0_104068_2012-05-12_final
2012-07-31 10:35:21	ga_ls7e_ard_3-0-0_104068_2012-07-31_final
2012-09-01 10:35:44	ga_ls7e_ard_3-0-0_104068_2012-09-01_final
2012-10-03 10:36:03	ga_ls7e_ard_3-0-0_104068_2012-10-03_final
2012-10-19 10:36:12	ga_ls7e_ard_3-0-0_104068_2012-10-19_final
2012-11-20 10:36:25	ga_ls7e_ard_3-0-0_104068_2012-11-20_final
2012-12-06 10:36:25	ga_ls7e_ard_3-0-0_104068_2012-12-06_final
2012-12-22 10:36:34	ga_ls7e_ard_3-0-0_104068_2012-12-22_final
2013-02-08 10:36:39	ga_ls7e_ard_3-0-0_104068_2013-02-08_final
2013-02-24 10:36:35	ga_ls7e_ard_3-0-0_104068_2013-02-24_final
2013-04-13 10:36:26	ga_ls7e_ard_3-0-0_104068_2013-04-13_final
2013-04-29 10:36:20	ga_ls7e_ard_3-0-0_104068_2013-04-29_final
2013-05-15 10:36:18	ga_ls7e_ard_3-0-0_104068_2013-05-15_final
2013-05-31 10:36:11	ga_ls7e_ard_3-0-0_104068_2013-05-31_final
2013-07-02 10:35:57	ga_ls7e_ard_3-0-0_104068_2013-07-02_final
2013-07-18 10:35:48	ga_ls7e_ard_3-0-0_104068_2013-07-18_final
2013-08-03 10:35:41	ga_ls7e_ard_3-0-0_104068_2013-08-03_final
2013-10-06 10:36:19	ga_ls7e_ard_3-0-0_104068_2013-10-06_final
2013-10-22 10:36:29	ga_ls7e_ard_3-0-0_104068_2013-10-22_final
2013-11-23 10:36:39	ga_ls7e_ard_3-0-0_104068_2013-11-23_final
2013-12-09 10:36:47	ga_ls7e_ard_3-0-0_104068_2013-12-09_final
2014-01-26 10:37:13	ga_ls7e_ard_3-0-0_104068_2014-01-26_final
2014-03-15 10:37:17	ga_ls7e_ard_3-0-0_104068_2014-03-15_final
2014-04-16 10:37:31	ga_ls7e_ard_3-0-0_104068_2014-04-16_final
2014-05-18 10:37:46	ga_ls7e_ard_3-0-0_104068_2014-05-18_final
2014-06-03 10:37:50	ga_ls7e_ard_3-0-0_104068_2014-06-03_final
2014-06-19 10:37:50	ga_ls7e_ard_3-0-0_104068_2014-06-19_final
2014-07-05 10:37:57	ga_ls7e_ard_3-0-0_104068_2014-07-05_final
2014-07-21 10:37:59	ga_ls7e_ard_3-0-0_104068_2014-07-21_final
2014-08-06 10:38:05	ga_ls7e_ard_3-0-0_104068_2014-08-06_final
2014-08-22 10:38:03	ga_ls7e_ard_3-0-0_104068_2014-08-22_final
2014-09-07 10:38:05	ga_ls7e_ard_3-0-0_104068_2014-09-07_final
2014-09-23 10:38:10	ga_ls7e_ard_3-0-0_104068_2014-09-23_final
2014-10-09 10:38:22	ga_ls7e_ard_3-0-0_104068_2014-10-09_final
2014-10-25 10:38:32	ga_ls7e_ard_3-0-0_104068_2014-10-25_final
2014-11-10 10:38:41	ga_ls7e_ard_3-0-0_104068_2014-11-10_final
2014-11-26 10:38:44	ga_ls7e_ard_3-0-0_104068_2014-11-26_final
2014-12-12 10:38:52	ga_ls7e_ard_3-0-0_104068_2014-12-12_final
2014-12-28 10:38:57	ga_ls7e_ard_3-0-0_104068_2014-12-28_final
2015-02-14 10:39:06	ga_ls7e_ard_3-0-0_104068_2015-02-14_final
2015-04-03 10:39:31	ga_ls7e_ard_3-0-0_104068_2015-04-03_final
2015-04-19 10:39:39	ga_ls7e_ard_3-0-0_104068_2015-04-19_final
2015-05-05 10:39:45	ga_ls7e_ard_3-0-0_104068_2015-05-05_final
2015-05-21 10:39:53	ga_ls7e_ard_3-0-0_104068_2015-05-21_final
2015-06-06 10:40:00	ga_ls7e_ard_3-0-0_104068_2015-06-06_final
2015-06-22 10:40:02	ga_ls7e_ard_3-0-0_104068_2015-06-22_final
2015-07-08 10:40:08	ga_ls7e_ard_3-0-0_104068_2015-07-08_final
2015-07-24 10:40:11	ga_ls7e_ard_3-0-0_104068_2015-07-24_final
2015-08-09 10:40:15	ga_ls7e_ard_3-0-0_104068_2015-08-09_final
2015-08-25 10:40:17	ga_ls7e_ard_3-0-0_104068_2015-08-25_final
2015-09-10 10:40:20	ga_ls7e_ard_3-0-0_104068_2015-09-10_final
2015-09-26 10:40:24	ga_ls7e_ard_3-0-0_104068_2015-09-26_final
2015-10-12 10:40:34	ga_ls7e_ard_3-0-0_104068_2015-10-12_final
2015-10-28 10:40:50	ga_ls7e_ard_3-0-0_104068_2015-10-28_final
2015-11-13 10:41:06	ga_ls7e_ard_3-0-0_104068_2015-11-13_final
2015-11-29 10:41:19	ga_ls7e_ard_3-0-0_104068_2015-11-29_final
2015-12-15 10:41:36	ga_ls7e_ard_3-0-0_104068_2015-12-15_final
2015-12-31 10:41:49	ga_ls7e_ard_3-0-0_104068_2015-12-31_final
2016-01-16 10:42:04	ga_ls7e_ard_3-0-0_104068_2016-01-16_final
2016-02-01 10:42:14	ga_ls7e_ard_3-0-0_104068_2016-02-01_final
2016-02-17 10:42:18	ga_ls7e_ard_3-0-0_104068_2016-02-17_final
2016-03-04 10:42:25	ga_ls7e_ard_3-0-0_104068_2016-03-04_final
2016-03-20 10:42:33	ga_ls7e_ard_3-0-0_104068_2016-03-20_final
2016-04-05 10:42:36	ga_ls7e_ard_3-0-0_104068_2016-04-05_final
2016-04-21 10:42:44	ga_ls7e_ard_3-0-0_104068_2016-04-21_final
2016-05-07 10:42:49	ga_ls7e_ard_3-0-0_104068_2016-05-07_final
2017-08-14 10:43:02	ga_ls7e_ard_3-0-0_104068_2017-08-14_final
2017-10-01 10:43:02	ga_ls7e_ard_3-0-0_104068_2017-10-01_final
2018-03-26 10:41:29	ga_ls7e_ard_3-0-0_104068_2018-03-26_final
2020-12-12 10:00:22	ga_ls7e_ard_3-1-0_104068_2020-12-12_final
2020-12-28 09:59:11	ga_ls7e_ard_3-1-0_104068_2020-12-28_final
2021-01-13 09:58:05	ga_ls7e_ard_3-1-0_104068_2021-01-13_final
2021-01-29 09:56:56	ga_ls7e_ard_3-2-0_104068_2021-01-29_final
2021-02-14 09:55:44	ga_ls7e_ard_3-2-0_104068_2021-02-14_final
2021-03-18 09:53:15	ga_ls7e_ard_3-2-0_104068_2021-03-18_final
2021-04-03 09:51:57	ga_ls7e_ard_3-2-0_104068_2021-04-03_final
2021-04-19 09:50:37	ga_ls7e_ard_3-2-0_104068_2021-04-19_final
2021-05-05 09:49:16	ga_ls7e_ard_3-2-0_104068_2021-05-05_final
2021-05-21 09:47:56	ga_ls7e_ard_3-2-0_104068_2021-05-21_final
2021-06-06 09:46:34	ga_ls7e_ard_3-2-0_104068_2021-06-06_final
2021-06-22 09:45:16	ga_ls7e_ard_3-2-0_104068_2021-06-22_final
2021-07-08 09:43:55	ga_ls7e_ard_3-2-0_104068_2021-07-08_final
2021-07-24 09:42:33	ga_ls7e_ard_3-2-0_104068_2021-07-24_final
2021-08-09 09:41:08	ga_ls7e_ard_3-2-0_104068_2021-08-09_final
2021-08-25 09:39:44	ga_ls7e_ard_3-2-0_104068_2021-08-25_final
2021-09-10 09:38:21	ga_ls7e_ard_3-2-0_104068_2021-09-10_final
2021-09-26 09:36:55	ga_ls7e_ard_3-2-0_104068_2021-09-26_final
2021-10-12 09:35:31	ga_ls7e_ard_3-2-0_104068_2021-10-12_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-11-13 09:32:32	ga_ls7e_ard_3-2-1_104068_2021-11-13_final
2021-11-29 09:31:00	ga_ls7e_ard_3-2-1_104068_2021-11-29_final
2021-12-31 09:27:54	ga_ls7e_ard_3-2-1_104068_2021-12-30_final
2022-01-16 09:26:22	ga_ls7e_ard_3-2-1_104068_2022-01-15_final
2022-02-01 09:24:48	ga_ls7e_ard_3-2-1_104068_2022-01-31_final
2022-02-17 09:23:10	ga_ls7e_ard_3-2-1_104068_2022-02-16_final
2022-03-05 09:21:38	ga_ls7e_ard_3-2-1_104068_2022-03-04_final
2022-03-21 09:20:02	ga_ls7e_ard_3-2-1_104068_2022-03-20_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