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
2011-01-19 11:22:36	ga_ls7e_ard_3-1-0_111082_2011-01-19_final
2011-03-24 11:22:50	ga_ls7e_ard_3-1-0_111082_2011-03-24_final
2011-06-12 11:22:52	ga_ls7e_ard_3-1-0_111082_2011-06-12_final
2011-11-03 11:22:40	ga_ls7e_ard_3-1-0_111082_2011-11-03_final
2011-12-05 11:23:02	ga_ls7e_ard_3-1-0_111082_2011-12-05_final
2012-03-10 11:23:22	ga_ls7e_ard_3-1-0_111082_2012-03-10_final
2012-04-11 11:23:19	ga_ls7e_ard_3-1-0_111082_2012-04-11_final
2012-06-30 11:23:50	ga_ls7e_ard_3-1-0_111082_2012-06-30_final
2012-08-17 11:24:26	ga_ls7e_ard_3-1-0_111082_2012-08-17_final
2013-02-09 11:25:29	ga_ls7e_ard_3-1-0_111082_2013-02-09_final
2013-02-25 11:25:25	ga_ls7e_ard_3-1-0_111082_2013-02-25_final
2013-03-13 11:25:25	ga_ls7e_ard_3-1-0_111082_2013-03-13_final
2013-03-29 11:25:19	ga_ls7e_ard_3-1-0_111082_2013-03-29_final
2013-04-14 11:25:17	ga_ls7e_ard_3-1-0_111082_2013-04-14_final
2013-05-16 11:25:09	ga_ls7e_ard_3-1-0_111082_2013-05-16_final
2013-06-01 11:25:01	ga_ls7e_ard_3-1-0_111082_2013-06-01_final
2013-07-03 11:24:47	ga_ls7e_ard_3-1-0_111082_2013-07-03_final
2013-07-19 11:24:38	ga_ls7e_ard_3-1-0_111082_2013-07-19_final
2013-08-20 11:24:37	ga_ls7e_ard_3-1-0_111082_2013-08-20_final
2013-09-05 11:24:49	ga_ls7e_ard_3-1-0_111082_2013-09-05_final
2013-11-24 11:25:31	ga_ls7e_ard_3-1-0_111082_2013-11-24_final
2013-12-10 11:25:38	ga_ls7e_ard_3-1-0_111082_2013-12-10_final
2013-12-26 11:25:41	ga_ls7e_ard_3-1-0_111082_2013-12-26_final
2014-01-11 11:25:45	ga_ls7e_ard_3-1-0_111082_2014-01-11_final
2014-02-28 11:26:00	ga_ls7e_ard_3-1-0_111082_2014-02-28_final
2014-05-03 11:26:30	ga_ls7e_ard_3-1-0_111082_2014-05-03_final
2014-07-06 11:26:48	ga_ls7e_ard_3-1-0_111082_2014-07-06_final
2014-07-22 11:26:51	ga_ls7e_ard_3-1-0_111082_2014-07-22_final
2014-08-23 11:26:54	ga_ls7e_ard_3-1-0_111082_2014-08-23_final
2014-09-08 11:26:56	ga_ls7e_ard_3-1-0_111082_2014-09-08_final
2014-11-11 11:27:32	ga_ls7e_ard_3-1-0_111082_2014-11-11_final
2014-12-13 11:27:44	ga_ls7e_ard_3-1-0_111082_2014-12-13_final
2014-12-29 11:27:47	ga_ls7e_ard_3-1-0_111082_2014-12-29_final
2015-01-14 11:27:51	ga_ls7e_ard_3-1-0_111082_2015-01-14_final
2015-01-30 11:27:56	ga_ls7e_ard_3-1-0_111082_2015-01-30_final
2015-02-15 11:27:58	ga_ls7e_ard_3-1-0_111082_2015-02-15_final
2015-03-03 11:28:09	ga_ls7e_ard_3-1-0_111082_2015-03-03_final
2015-03-19 11:28:17	ga_ls7e_ard_3-1-0_111082_2015-03-19_final
2015-04-04 11:28:23	ga_ls7e_ard_3-1-0_111082_2015-04-04_final
2017-07-14 11:31:56	ga_ls7e_ard_3-1-0_111082_2017-07-14_final
2017-08-31 11:31:53	ga_ls7e_ard_3-1-0_111082_2017-08-31_final
2017-10-18 11:31:55	ga_ls7e_ard_3-1-0_111082_2017-10-18_final
2018-04-28 11:29:48	ga_ls7e_ard_3-1-0_111082_2018-04-28_final
2018-05-14 11:29:31	ga_ls7e_ard_3-1-0_111082_2018-05-14_final
2018-06-15 11:28:59	ga_ls7e_ard_3-1-0_111082_2018-06-15_final
2018-07-01 11:28:41	ga_ls7e_ard_3-1-0_111082_2018-07-01_final
2019-02-10 11:23:16	ga_ls7e_ard_3-1-0_111082_2019-02-10_final
2019-04-15 11:21:10	ga_ls7e_ard_3-1-0_111082_2019-04-15_final
2019-05-17 11:19:57	ga_ls7e_ard_3-1-0_111082_2019-05-17_final
2019-07-20 11:17:33	ga_ls7e_ard_3-1-0_111082_2019-07-20_final
2019-09-22 11:14:51	ga_ls7e_ard_3-1-0_111082_2019-09-22_final
2019-10-08 11:14:11	ga_ls7e_ard_3-1-0_111082_2019-10-08_final
2019-10-24 11:13:30	ga_ls7e_ard_3-1-0_111082_2019-10-24_final
2019-11-09 11:12:47	ga_ls7e_ard_3-1-0_111082_2019-11-09_final
2019-11-25 11:12:02	ga_ls7e_ard_3-1-0_111082_2019-11-25_final
2019-12-11 11:11:15	ga_ls7e_ard_3-1-0_111082_2019-12-11_final
2019-12-27 11:10:26	ga_ls7e_ard_3-1-0_111082_2019-12-27_final
2020-01-12 11:09:37	ga_ls7e_ard_3-1-0_111082_2020-01-12_final
2020-01-28 11:08:49	ga_ls7e_ard_3-1-0_111082_2020-01-28_final
2020-02-13 11:08:00	ga_ls7e_ard_3-1-0_111082_2020-02-13_final
2020-02-29 11:07:10	ga_ls7e_ard_3-1-0_111082_2020-02-29_final
2020-03-16 11:06:18	ga_ls7e_ard_3-1-0_111082_2020-03-16_final
2020-04-01 11:05:24	ga_ls7e_ard_3-1-0_111082_2020-04-01_final
2020-04-17 11:04:29	ga_ls7e_ard_3-1-0_111082_2020-04-17_final
2020-05-03 11:03:32	ga_ls7e_ard_3-1-0_111082_2020-05-03_final
2020-05-19 11:02:33	ga_ls7e_ard_3-1-0_111082_2020-05-19_final
2020-06-04 11:01:35	ga_ls7e_ard_3-1-0_111082_2020-06-04_final
2020-06-20 11:00:40	ga_ls7e_ard_3-1-0_111082_2020-06-20_final
2020-07-06 10:59:42	ga_ls7e_ard_3-1-0_111082_2020-07-06_final
2020-07-22 10:58:44	ga_ls7e_ard_3-1-0_111082_2020-07-22_final
2020-08-07 10:57:44	ga_ls7e_ard_3-1-0_111082_2020-08-07_final
2020-09-08 10:55:39	ga_ls7e_ard_3-1-0_111082_2020-09-08_final
2020-09-24 10:54:36	ga_ls7e_ard_3-1-0_111082_2020-09-24_final
2020-10-10 10:53:35	ga_ls7e_ard_3-1-0_111082_2020-10-10_final
2020-10-26 10:52:32	ga_ls7e_ard_3-1-0_111082_2020-10-26_final
2020-11-11 10:51:27	ga_ls7e_ard_3-1-0_111082_2020-11-11_final
2020-11-27 10:50:20	ga_ls7e_ard_3-1-0_111082_2020-11-27_final
2020-12-29 10:47:58	ga_ls7e_ard_3-1-0_111082_2020-12-29_final
2021-01-14 10:46:51	ga_ls7e_ard_3-1-0_111082_2021-01-14_final
2021-01-30 10:45:42	ga_ls7e_ard_3-2-0_111082_2021-01-30_final
2021-02-15 10:44:31	ga_ls7e_ard_3-2-0_111082_2021-02-15_final
2021-03-19 10:42:01	ga_ls7e_ard_3-2-0_111082_2021-03-19_final
2021-04-04 10:40:43	ga_ls7e_ard_3-2-0_111082_2021-04-04_final
2021-04-20 10:39:23	ga_ls7e_ard_3-2-0_111082_2021-04-20_final
2021-05-06 10:38:02	ga_ls7e_ard_3-2-0_111082_2021-05-06_final
2021-05-22 10:36:41	ga_ls7e_ard_3-2-0_111082_2021-05-22_final
2021-06-07 10:35:20	ga_ls7e_ard_3-2-0_111082_2021-06-07_final
2021-06-23 10:34:02	ga_ls7e_ard_3-2-0_111082_2021-06-23_final
2021-07-25 10:31:19	ga_ls7e_ard_3-2-0_111082_2021-07-25_final
2021-08-26 10:28:30	ga_ls7e_ard_3-2-0_111082_2021-08-26_final
2021-10-13 10:24:16	ga_ls7e_ard_3-2-0_111082_2021-10-13_final
2021-10-29 10:22:49	ga_ls7e_ard_3-2-0_111082_2021-10-29_final
2021-11-14 10:21:17	ga_ls7e_ard_3-2-1_111082_2021-11-14_final
2021-11-30 10:19:45	ga_ls7e_ard_3-2-1_111082_2021-11-30_final
2021-12-16 10:18:14	ga_ls7e_ard_3-2-1_111082_2021-12-16_final
2022-01-01 10:16:39	ga_ls7e_ard_3-2-1_111082_2022-01-01_final
2022-01-17 10:15:07	ga_ls7e_ard_3-2-1_111082_2022-01-17_final
2022-02-02 10:13:33	ga_ls7e_ard_3-2-1_111082_2022-02-02_final
2022-02-18 10:11:55	ga_ls7e_ard_3-2-1_111082_2022-02-18_final
2022-03-06 10:10:23	ga_ls7e_ard_3-2-1_111082_2022-03-06_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