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
2012-11-15 10:22:13	ga_ls7e_ard_3-0-0_101079_2012-11-15_final
2013-05-26 10:22:05	ga_ls7e_ard_3-0-0_101079_2013-05-26_final
2013-06-11 10:21:57	ga_ls7e_ard_3-0-0_101079_2013-06-11_final
2013-08-30 10:21:44	ga_ls7e_ard_3-0-0_101079_2013-08-30_final
2013-09-15 10:21:55	ga_ls7e_ard_3-0-0_101079_2013-09-15_final
2014-01-05 10:22:43	ga_ls7e_ard_3-0-0_101079_2014-01-05_final
2014-04-27 10:23:29	ga_ls7e_ard_3-0-0_101079_2014-04-27_final
2014-05-29 10:23:39	ga_ls7e_ard_3-0-0_101079_2014-05-29_final
2014-07-16 10:23:47	ga_ls7e_ard_3-0-0_101079_2014-07-16_final
2014-08-17 10:23:55	ga_ls7e_ard_3-0-0_101079_2014-08-17_final
2014-09-02 10:23:55	ga_ls7e_ard_3-0-0_101079_2014-09-02_final
2014-10-20 10:24:19	ga_ls7e_ard_3-0-0_101079_2014-10-20_final
2014-11-05 10:24:30	ga_ls7e_ard_3-0-0_101079_2014-11-05_final
2014-11-21 10:24:32	ga_ls7e_ard_3-0-0_101079_2014-11-21_final
2014-12-07 10:24:40	ga_ls7e_ard_3-0-0_101079_2014-12-07_final
2014-12-23 10:24:49	ga_ls7e_ard_3-0-0_101079_2014-12-23_final
2015-01-08 10:24:50	ga_ls7e_ard_3-0-0_101079_2015-01-08_final
2015-01-24 10:24:52	ga_ls7e_ard_3-0-0_101079_2015-01-24_final
2015-02-09 10:24:58	ga_ls7e_ard_3-0-0_101079_2015-02-09_final
2015-02-25 10:25:06	ga_ls7e_ard_3-0-0_101079_2015-02-25_final
2015-03-13 10:25:12	ga_ls7e_ard_3-0-0_101079_2015-03-13_final
2015-03-29 10:25:20	ga_ls7e_ard_3-0-0_101079_2015-03-29_final
2015-04-14 10:25:29	ga_ls7e_ard_3-0-0_101079_2015-04-14_final
2015-04-30 10:25:35	ga_ls7e_ard_3-0-0_101079_2015-04-30_final
2015-05-16 10:25:43	ga_ls7e_ard_3-0-0_101079_2015-05-16_final
2015-06-01 10:25:48	ga_ls7e_ard_3-0-0_101079_2015-06-01_final
2015-06-17 10:25:53	ga_ls7e_ard_3-0-0_101079_2015-06-17_final
2015-07-03 10:25:56	ga_ls7e_ard_3-0-0_101079_2015-07-03_final
2015-07-19 10:26:01	ga_ls7e_ard_3-0-0_101079_2015-07-19_final
2015-08-04 10:26:04	ga_ls7e_ard_3-0-0_101079_2015-08-04_final
2015-08-20 10:26:08	ga_ls7e_ard_3-0-0_101079_2015-08-20_final
2015-09-05 10:26:08	ga_ls7e_ard_3-0-0_101079_2015-09-05_final
2015-09-21 10:26:14	ga_ls7e_ard_3-0-0_101079_2015-09-21_final
2015-10-07 10:26:18	ga_ls7e_ard_3-0-0_101079_2015-10-07_final
2015-10-23 10:26:37	ga_ls7e_ard_3-0-0_101079_2015-10-23_final
2015-11-08 10:26:51	ga_ls7e_ard_3-0-0_101079_2015-11-08_final
2015-11-24 10:27:07	ga_ls7e_ard_3-0-0_101079_2015-11-24_final
2015-12-10 10:27:22	ga_ls7e_ard_3-0-0_101079_2015-12-10_final
2015-12-26 10:27:35	ga_ls7e_ard_3-0-0_101079_2015-12-26_final
2016-01-11 10:27:51	ga_ls7e_ard_3-0-0_101079_2016-01-11_final
2016-01-27 10:28:02	ga_ls7e_ard_3-0-0_101079_2016-01-27_final
2016-02-12 10:28:09	ga_ls7e_ard_3-0-0_101079_2016-02-12_final
2016-02-28 10:28:12	ga_ls7e_ard_3-0-0_101079_2016-02-28_final
2016-03-15 10:28:22	ga_ls7e_ard_3-0-0_101079_2016-03-15_final
2016-03-31 10:28:26	ga_ls7e_ard_3-0-0_101079_2016-03-31_final
2016-04-16 10:28:33	ga_ls7e_ard_3-0-0_101079_2016-04-16_final
2016-05-02 10:28:39	ga_ls7e_ard_3-0-0_101079_2016-05-02_final
2016-05-18 10:28:41	ga_ls7e_ard_3-0-0_101079_2016-05-18_final
2016-06-03 10:28:47	ga_ls7e_ard_3-0-0_101079_2016-06-03_final
2016-06-19 10:28:50	ga_ls7e_ard_3-0-0_101079_2016-06-19_final
2016-07-05 10:28:50	ga_ls7e_ard_3-0-0_101079_2016-07-05_final
2016-07-21 10:28:52	ga_ls7e_ard_3-0-0_101079_2016-07-21_final
2016-08-06 10:28:54	ga_ls7e_ard_3-0-0_101079_2016-08-06_final
2016-08-22 10:28:55	ga_ls7e_ard_3-0-0_101079_2016-08-22_final
2016-09-07 10:28:59	ga_ls7e_ard_3-0-0_101079_2016-09-07_final
2016-09-23 10:29:01	ga_ls7e_ard_3-0-0_101079_2016-09-23_final
2016-10-09 10:29:02	ga_ls7e_ard_3-0-0_101079_2016-10-09_final
2017-05-21 10:28:47	ga_ls7e_ard_3-0-0_101079_2017-05-21_final
2017-11-29 10:28:47	ga_ls7e_ard_3-0-0_101079_2017-11-29_final
2018-02-17 10:27:47	ga_ls7e_ard_3-0-0_101079_2018-02-17_final
2018-03-05 10:27:36	ga_ls7e_ard_3-0-0_101079_2018-03-05_final
2018-03-21 10:27:24	ga_ls7e_ard_3-0-0_101079_2018-03-21_final
2018-07-11 10:25:28	ga_ls7e_ard_3-0-0_101079_2018-07-11_final
2018-07-27 10:25:12	ga_ls7e_ard_3-0-0_101079_2018-07-27_final
2019-05-11 10:17:11	ga_ls7e_ard_3-0-0_101079_2019-05-11_final
2019-08-31 10:12:49	ga_ls7e_ard_3-1-0_101079_2019-08-31_final
2019-09-16 10:12:07	ga_ls7e_ard_3-1-0_101079_2019-09-16_final
2019-12-05 10:08:33	ga_ls7e_ard_3-1-0_101079_2019-12-05_final
2020-02-07 10:05:19	ga_ls7e_ard_3-1-0_101079_2020-02-07_final
2020-05-29 09:58:56	ga_ls7e_ard_3-1-0_101079_2020-05-29_final
2020-06-14 09:58:01	ga_ls7e_ard_3-1-0_101079_2020-06-14_final
2020-08-17 09:54:06	ga_ls7e_ard_3-1-0_101079_2020-08-17_final
2020-11-05 09:48:52	ga_ls7e_ard_3-1-0_101079_2020-11-05_final
2020-11-21 09:47:45	ga_ls7e_ard_3-1-0_101079_2020-11-21_final
2020-12-07 09:46:36	ga_ls7e_ard_3-1-0_101079_2020-12-07_final
2020-12-23 09:45:23	ga_ls7e_ard_3-1-0_101079_2020-12-23_final
2021-01-08 09:44:17	ga_ls7e_ard_3-1-0_101079_2021-01-08_final
2021-02-09 09:41:58	ga_ls7e_ard_3-2-0_101079_2021-02-09_final
2021-02-25 09:40:45	ga_ls7e_ard_3-2-0_101079_2021-02-25_final
2021-03-13 09:39:30	ga_ls7e_ard_3-2-0_101079_2021-03-13_final
2021-03-29 09:38:13	ga_ls7e_ard_3-2-0_101079_2021-03-29_final
2021-04-14 09:36:53	ga_ls7e_ard_3-2-0_101079_2021-04-14_final
2021-04-30 09:35:32	ga_ls7e_ard_3-2-0_101079_2021-04-30_final
2021-05-16 09:34:12	ga_ls7e_ard_3-2-0_101079_2021-05-16_final
2021-06-01 09:32:49	ga_ls7e_ard_3-2-0_101079_2021-06-01_final
2021-06-17 09:31:32	ga_ls7e_ard_3-2-0_101079_2021-06-17_final
2021-07-19 09:28:50	ga_ls7e_ard_3-2-0_101079_2021-07-18_final
2021-08-04 09:27:26	ga_ls7e_ard_3-2-0_101079_2021-08-03_final
2021-08-20 09:26:01	ga_ls7e_ard_3-2-0_101079_2021-08-19_final
2021-09-05 09:24:38	ga_ls7e_ard_3-2-0_101079_2021-09-04_final
2021-09-21 09:23:13	ga_ls7e_ard_3-2-0_101079_2021-09-20_final
2021-10-07 09:21:48	ga_ls7e_ard_3-2-0_101079_2021-10-06_final
2021-10-23 09:20:22	ga_ls7e_ard_3-2-0_101079_2021-10-22_final
2021-11-08 09:18:52	ga_ls7e_ard_3-2-0_101079_2021-11-07_final
2021-12-10 09:15:49	ga_ls7e_ard_3-2-1_101079_2021-12-09_final
2021-12-26 09:14:15	ga_ls7e_ard_3-2-1_101079_2021-12-25_final
2022-01-11 09:12:41	ga_ls7e_ard_3-2-1_101079_2022-01-10_final
2022-01-27 09:11:09	ga_ls7e_ard_3-2-1_101079_2022-01-26_final
2022-02-12 09:09:31	ga_ls7e_ard_3-2-1_101079_2022-02-11_final
2022-02-28 09:07:58	ga_ls7e_ard_3-2-1_101079_2022-02-27_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