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
2014-06-25 11:43:17	ga_ls7e_ard_3-0-0_114077_2014-06-25_final
2014-07-11 11:43:21	ga_ls7e_ard_3-0-0_114077_2014-07-11_final
2014-07-27 11:43:26	ga_ls7e_ard_3-0-0_114077_2014-07-27_final
2014-08-28 11:43:26	ga_ls7e_ard_3-0-0_114077_2014-08-28_final
2014-10-15 11:43:48	ga_ls7e_ard_3-0-0_114077_2014-10-15_final
2014-10-31 11:43:58	ga_ls7e_ard_3-0-0_114077_2014-10-31_final
2014-11-16 11:44:04	ga_ls7e_ard_3-0-0_114077_2014-11-16_final
2014-12-02 11:44:12	ga_ls7e_ard_3-0-0_114077_2014-12-02_final
2014-12-18 11:44:20	ga_ls7e_ard_3-0-0_114077_2014-12-18_final
2015-01-03 11:44:21	ga_ls7e_ard_3-0-0_114077_2015-01-03_final
2015-01-19 11:44:22	ga_ls7e_ard_3-0-0_114077_2015-01-19_final
2015-02-04 11:44:31	ga_ls7e_ard_3-0-0_114077_2015-02-04_final
2015-02-20 11:44:35	ga_ls7e_ard_3-0-0_114077_2015-02-20_final
2015-03-08 11:44:43	ga_ls7e_ard_3-0-0_114077_2015-03-08_final
2015-03-24 11:44:52	ga_ls7e_ard_3-0-0_114077_2015-03-24_final
2015-04-09 11:45:00	ga_ls7e_ard_3-0-0_114077_2015-04-09_final
2015-05-11 11:45:14	ga_ls7e_ard_3-0-0_114077_2015-05-11_final
2015-05-27 11:45:17	ga_ls7e_ard_3-0-0_114077_2015-05-27_final
2015-06-12 11:45:25	ga_ls7e_ard_3-0-0_114077_2015-06-12_final
2015-06-28 11:45:27	ga_ls7e_ard_3-0-0_114077_2015-06-28_final
2015-07-30 11:45:35	ga_ls7e_ard_3-0-0_114077_2015-07-30_final
2015-08-15 11:45:40	ga_ls7e_ard_3-0-0_114077_2015-08-15_final
2015-08-31 11:45:40	ga_ls7e_ard_3-0-0_114077_2015-08-31_final
2015-09-16 11:45:45	ga_ls7e_ard_3-0-0_114077_2015-09-16_final
2015-10-02 11:45:44	ga_ls7e_ard_3-0-0_114077_2015-10-02_final
2015-10-18 11:46:05	ga_ls7e_ard_3-0-0_114077_2015-10-18_final
2015-11-03 11:46:18	ga_ls7e_ard_3-0-0_114077_2015-11-03_final
2015-12-05 11:46:49	ga_ls7e_ard_3-0-0_114077_2015-12-05_final
2015-12-21 11:47:05	ga_ls7e_ard_3-0-0_114077_2015-12-21_final
2016-01-06 11:47:19	ga_ls7e_ard_3-0-0_114077_2016-01-06_final
2016-01-22 11:47:32	ga_ls7e_ard_3-0-0_114077_2016-01-22_final
2016-02-07 11:47:40	ga_ls7e_ard_3-0-0_114077_2016-02-07_final
2016-02-23 11:47:42	ga_ls7e_ard_3-0-0_114077_2016-02-23_final
2016-03-10 11:47:53	ga_ls7e_ard_3-0-0_114077_2016-03-10_final
2016-04-27 11:48:10	ga_ls7e_ard_3-0-0_114077_2016-04-27_final
2016-05-13 11:48:13	ga_ls7e_ard_3-0-0_114077_2016-05-13_final
2016-05-29 11:48:18	ga_ls7e_ard_3-0-0_114077_2016-05-29_final
2016-06-14 11:48:22	ga_ls7e_ard_3-1-0_114077_2016-06-14_final
2016-06-30 11:48:23	ga_ls7e_ard_3-0-0_114077_2016-06-30_final
2016-08-01 11:48:26	ga_ls7e_ard_3-0-0_114077_2016-08-01_final
2017-04-30 11:48:16	ga_ls7e_ard_3-0-0_114077_2017-04-30_final
2017-08-04 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-08-04_final
2018-03-16 11:47:01	ga_ls7e_ard_3-0-0_114077_2018-03-16_final
2018-05-19 11:45:59	ga_ls7e_ard_3-0-0_114077_2018-05-19_final
2018-08-23 11:44:14	ga_ls7e_ard_3-0-0_114077_2018-08-23_final
2018-09-08 11:43:54	ga_ls7e_ard_3-0-0_114077_2018-09-08_final
2018-09-24 11:43:32	ga_ls7e_ard_3-0-0_114077_2018-09-24_final
2018-10-26 11:42:47	ga_ls7e_ard_3-0-0_114077_2018-10-26_final
2018-11-11 11:42:26	ga_ls7e_ard_3-0-0_114077_2018-11-11_final
2018-12-13 11:41:36	ga_ls7e_ard_3-0-0_114077_2018-12-13_final
2019-02-15 11:39:39	ga_ls7e_ard_3-0-0_114077_2019-02-15_final
2019-04-04 11:38:06	ga_ls7e_ard_3-0-0_114077_2019-04-04_final
2019-04-20 11:37:31	ga_ls7e_ard_3-0-0_114077_2019-04-20_final
2019-05-06 11:36:55	ga_ls7e_ard_3-0-0_114077_2019-05-06_final
2019-05-22 11:36:17	ga_ls7e_ard_3-0-0_114077_2019-05-22_final
2019-07-25 11:33:54	ga_ls7e_ard_3-0-0_114077_2019-07-25_final
2019-10-29 11:29:50	ga_ls7e_ard_3-1-0_114077_2019-10-29_final
2019-11-30 11:28:21	ga_ls7e_ard_3-1-0_114077_2019-11-30_final
2019-12-16 11:27:33	ga_ls7e_ard_3-1-0_114077_2019-12-16_final
2020-01-01 11:26:43	ga_ls7e_ard_3-1-0_114077_2020-01-01_final
2020-01-17 11:25:55	ga_ls7e_ard_3-1-0_114077_2020-01-17_final
2020-02-02 11:25:07	ga_ls7e_ard_3-1-0_114077_2020-02-02_final
2020-03-21 11:22:34	ga_ls7e_ard_3-1-0_114077_2020-03-21_final
2020-04-22 11:20:44	ga_ls7e_ard_3-1-0_114077_2020-04-22_final
2020-05-08 11:19:46	ga_ls7e_ard_3-1-0_114077_2020-05-08_final
2020-07-11 11:15:57	ga_ls7e_ard_3-1-0_114077_2020-07-11_final
2020-07-27 11:14:58	ga_ls7e_ard_3-1-0_114077_2020-07-27_final
2020-09-29 11:10:50	ga_ls7e_ard_3-1-0_114077_2020-09-29_final
2020-10-15 11:09:48	ga_ls7e_ard_3-1-0_114077_2020-10-15_final
2020-10-31 11:08:45	ga_ls7e_ard_3-1-0_114077_2020-10-31_final
2020-11-16 11:07:39	ga_ls7e_ard_3-1-0_114077_2020-11-16_final
2020-12-02 11:06:30	ga_ls7e_ard_3-1-0_114077_2020-12-02_final
2020-12-18 11:05:18	ga_ls7e_ard_3-1-0_114077_2020-12-18_final
2021-01-03 11:04:10	ga_ls7e_ard_3-1-0_114077_2021-01-03_final
2021-01-19 11:03:02	ga_ls7e_ard_3-1-0_114077_2021-01-19_final
2021-02-20 11:00:41	ga_ls7e_ard_3-2-0_114077_2021-02-20_final
2021-03-08 10:59:26	ga_ls7e_ard_3-2-0_114077_2021-03-08_final
2021-03-24 10:58:10	ga_ls7e_ard_3-2-0_114077_2021-03-24_final
2021-04-09 10:56:51	ga_ls7e_ard_3-2-0_114077_2021-04-09_final
2021-04-25 10:55:30	ga_ls7e_ard_3-2-0_114077_2021-04-25_final
2021-05-11 10:54:10	ga_ls7e_ard_3-2-0_114077_2021-05-11_final
2021-05-27 10:52:48	ga_ls7e_ard_3-2-0_114077_2021-05-27_final
2021-06-12 10:51:28	ga_ls7e_ard_3-2-0_114077_2021-06-12_final
2021-06-28 10:50:09	ga_ls7e_ard_3-2-0_114077_2021-06-28_final
2021-07-14 10:48:48	ga_ls7e_ard_3-2-0_114077_2021-07-14_final
2021-07-30 10:47:25	ga_ls7e_ard_3-2-0_114077_2021-07-30_final
2021-08-15 10:46:00	ga_ls7e_ard_3-2-0_114077_2021-08-15_final
2021-08-31 10:44:37	ga_ls7e_ard_3-2-0_114077_2021-08-31_final
2021-09-16 10:43:12	ga_ls7e_ard_3-2-0_114077_2021-09-16_final
2021-10-02 10:41:46	ga_ls7e_ard_3-2-0_114077_2021-10-02_final
2021-10-18 10:40:22	ga_ls7e_ard_3-2-0_114077_2021-10-18_final
2021-11-03 10:38:53	ga_ls7e_ard_3-2-0_114077_2021-11-03_final
2021-11-19 10:37:20	ga_ls7e_ard_3-2-1_114077_2021-11-19_final
2021-12-05 10:35:50	ga_ls7e_ard_3-2-1_114077_2021-12-05_final
2021-12-21 10:34:18	ga_ls7e_ard_3-2-1_114077_2021-12-21_final
2022-01-06 10:32:41	ga_ls7e_ard_3-2-1_114077_2022-01-06_final
2022-01-22 10:31:11	ga_ls7e_ard_3-2-1_114077_2022-01-22_final
2022-02-07 10:29:35	ga_ls7e_ard_3-2-1_114077_2022-02-07_final
2022-02-23 10:27:59	ga_ls7e_ard_3-2-1_114077_2022-02-23_final
2022-03-11 10:26:25	ga_ls7e_ard_3-2-1_114077_2022-03-11_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