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
2014-08-09 09:36:53	ga_ls7e_ard_3-0-0_093085_2014-08-09_final
2014-08-25 09:36:51	ga_ls7e_ard_3-0-0_093085_2014-08-25_final
2014-11-13 09:37:29	ga_ls7e_ard_3-0-0_093085_2014-11-13_final
2014-12-31 09:37:43	ga_ls7e_ard_3-0-0_093085_2014-12-31_final
2015-02-17 09:37:57	ga_ls7e_ard_3-0-0_093085_2015-02-17_final
2015-03-05 09:38:07	ga_ls7e_ard_3-0-0_093085_2015-03-05_final
2015-05-24 09:38:41	ga_ls7e_ard_3-0-0_093085_2015-05-24_final
2015-12-02 09:40:09	ga_ls7e_ard_3-0-0_093085_2015-12-02_final
2016-03-07 09:41:15	ga_ls7e_ard_3-0-0_093085_2016-03-07_final
2016-06-11 09:41:46	ga_ls7e_ard_3-0-0_093085_2016-06-11_final
2016-06-27 09:41:48	ga_ls7e_ard_3-0-0_093085_2016-06-27_final
2016-07-13 09:41:47	ga_ls7e_ard_3-0-0_093085_2016-07-13_final
2016-08-14 09:41:51	ga_ls7e_ard_3-0-0_093085_2016-08-14_final
2016-09-15 09:41:56	ga_ls7e_ard_3-0-0_093085_2016-09-15_final
2016-11-18 09:41:46	ga_ls7e_ard_3-0-0_093085_2016-11-18_final
2016-12-20 09:41:38	ga_ls7e_ard_3-0-0_093085_2016-12-20_final
2017-01-05 09:41:29	ga_ls7e_ard_3-0-0_093085_2017-01-05_final
2017-02-22 09:41:15	ga_ls7e_ard_3-0-0_093085_2017-02-22_final
2017-03-10 09:41:22	ga_ls7e_ard_3-0-0_093085_2017-03-10_final
2017-03-26 09:41:27	ga_ls7e_ard_3-0-0_093085_2017-03-26_final
2017-04-11 09:41:32	ga_ls7e_ard_3-0-0_093085_2017-04-11_final
2017-04-27 09:41:39	ga_ls7e_ard_3-0-0_093085_2017-04-27_final
2017-05-13 09:41:43	ga_ls7e_ard_3-0-0_093085_2017-05-13_final
2017-05-29 09:41:46	ga_ls7e_ard_3-0-0_093085_2017-05-29_final
2017-06-14 09:41:51	ga_ls7e_ard_3-0-0_093085_2017-06-14_final
2017-06-30 09:41:53	ga_ls7e_ard_3-0-0_093085_2017-06-30_final
2017-07-16 09:41:53	ga_ls7e_ard_3-0-0_093085_2017-07-16_final
2017-08-01 09:41:52	ga_ls7e_ard_3-0-0_093085_2017-08-01_final
2017-08-17 09:41:50	ga_ls7e_ard_3-0-0_093085_2017-08-17_final
2017-09-18 09:41:48	ga_ls7e_ard_3-0-0_093085_2017-09-18_final
2017-10-04 09:41:50	ga_ls7e_ard_3-0-0_093085_2017-10-04_final
2017-10-20 09:41:52	ga_ls7e_ard_3-0-0_093085_2017-10-20_final
2017-11-05 09:41:51	ga_ls7e_ard_3-0-0_093085_2017-11-05_final
2017-11-21 09:41:48	ga_ls7e_ard_3-0-0_093085_2017-11-21_final
2017-12-07 09:41:40	ga_ls7e_ard_3-0-0_093085_2017-12-07_final
2017-12-23 09:41:31	ga_ls7e_ard_3-0-0_093085_2017-12-23_final
2018-01-24 09:41:03	ga_ls7e_ard_3-0-0_093085_2018-01-24_final
2018-02-25 09:40:39	ga_ls7e_ard_3-0-0_093085_2018-02-25_final
2018-03-13 09:40:28	ga_ls7e_ard_3-0-0_093085_2018-03-13_final
2018-03-29 09:40:15	ga_ls7e_ard_3-0-0_093085_2018-03-29_final
2018-04-14 09:40:00	ga_ls7e_ard_3-0-0_093085_2018-04-14_final
2018-04-30 09:39:43	ga_ls7e_ard_3-0-0_093085_2018-04-30_final
2018-05-16 09:39:26	ga_ls7e_ard_3-0-0_093085_2018-05-16_final
2018-06-01 09:39:11	ga_ls7e_ard_3-0-0_093085_2018-06-01_final
2018-06-17 09:38:54	ga_ls7e_ard_3-0-0_093085_2018-06-17_final
2018-07-03 09:38:35	ga_ls7e_ard_3-0-0_093085_2018-07-03_final
2018-07-19 09:38:17	ga_ls7e_ard_3-0-0_093085_2018-07-19_final
2018-08-20 09:37:42	ga_ls7e_ard_3-0-0_093085_2018-08-20_final
2018-09-05 09:37:22	ga_ls7e_ard_3-0-0_093085_2018-09-05_final
2018-09-21 09:37:01	ga_ls7e_ard_3-0-0_093085_2018-09-21_final
2018-10-07 09:36:38	ga_ls7e_ard_3-0-0_093085_2018-10-07_final
2018-10-23 09:36:15	ga_ls7e_ard_3-0-0_093085_2018-10-23_final
2018-11-08 09:35:54	ga_ls7e_ard_3-0-0_093085_2018-11-08_final
2018-11-24 09:35:31	ga_ls7e_ard_3-0-0_093085_2018-11-24_final
2018-12-10 09:35:06	ga_ls7e_ard_3-0-0_093085_2018-12-10_final
2018-12-26 09:34:39	ga_ls7e_ard_3-0-0_093085_2018-12-26_final
2019-01-11 09:34:09	ga_ls7e_ard_3-0-0_093085_2019-01-11_final
2019-02-12 09:33:09	ga_ls7e_ard_3-0-0_093085_2019-02-12_final
2019-02-28 09:32:40	ga_ls7e_ard_3-1-0_093085_2019-02-28_final
2019-03-16 09:32:09	ga_ls7e_ard_3-1-0_093085_2019-03-16_final
2019-04-01 09:31:37	ga_ls7e_ard_3-0-0_093085_2019-04-01_final
2019-04-17 09:31:03	ga_ls7e_ard_3-0-0_093085_2019-04-17_final
2019-05-03 09:30:27	ga_ls7e_ard_3-0-0_093085_2019-05-03_final
2019-06-04 09:29:15	ga_ls7e_ard_3-0-0_093085_2019-06-03_final
2019-07-06 09:28:04	ga_ls7e_ard_3-0-0_093085_2019-07-05_final
2019-07-22 09:27:26	ga_ls7e_ard_3-0-0_093085_2019-07-21_final
2019-08-07 09:26:47	ga_ls7e_ard_3-0-0_093085_2019-08-06_final
2019-08-23 09:26:07	ga_ls7e_ard_3-0-0_093085_2019-08-22_final
2019-09-08 09:25:26	ga_ls7e_ard_3-1-0_093085_2019-09-07_final
2019-09-24 09:24:43	ga_ls7e_ard_3-1-0_093085_2019-09-23_final
2019-10-10 09:24:03	ga_ls7e_ard_3-1-0_093085_2019-10-09_final
2019-10-26 09:23:22	ga_ls7e_ard_3-1-0_093085_2019-10-25_final
2019-11-11 09:22:39	ga_ls7e_ard_3-1-0_093085_2019-11-10_final
2019-11-27 09:21:54	ga_ls7e_ard_3-1-0_093085_2019-11-26_final
2019-12-13 09:21:07	ga_ls7e_ard_3-1-0_093085_2019-12-12_final
2019-12-29 09:20:17	ga_ls7e_ard_3-1-0_093085_2019-12-28_final
2020-01-14 09:19:28	ga_ls7e_ard_3-1-0_093085_2020-01-13_final
2020-01-30 09:18:41	ga_ls7e_ard_3-1-0_093085_2020-01-29_final
2020-02-15 09:17:52	ga_ls7e_ard_3-1-0_093085_2020-02-14_final
2020-03-02 09:17:01	ga_ls7e_ard_3-1-0_093085_2020-03-01_final
2020-03-18 09:16:08	ga_ls7e_ard_3-1-0_093085_2020-03-17_final
2020-04-19 09:14:19	ga_ls7e_ard_3-1-0_093085_2020-04-18_final
2020-05-05 09:13:22	ga_ls7e_ard_3-1-0_093085_2020-05-04_final
2020-06-06 09:11:26	ga_ls7e_ard_3-1-0_093085_2020-06-05_final
2020-06-22 09:10:30	ga_ls7e_ard_3-1-0_093085_2020-06-21_final
2020-07-08 09:09:32	ga_ls7e_ard_3-1-0_093085_2020-07-07_final
2020-07-24 09:08:34	ga_ls7e_ard_3-1-0_093085_2020-07-23_final
2020-08-09 09:07:33	ga_ls7e_ard_3-1-0_093085_2020-08-08_final
2020-08-25 09:06:32	ga_ls7e_ard_3-1-0_093085_2020-08-24_final
2020-09-10 09:05:29	ga_ls7e_ard_3-1-0_093085_2020-09-09_final
2020-09-26 09:04:26	ga_ls7e_ard_3-1-0_093085_2020-09-25_final
2020-10-12 09:03:25	ga_ls7e_ard_3-1-0_093085_2020-10-11_final
2020-10-28 09:02:22	ga_ls7e_ard_3-1-0_093085_2020-10-27_final
2020-11-13 09:01:16	ga_ls7e_ard_3-1-0_093085_2020-11-12_final
2020-11-29 09:00:08	ga_ls7e_ard_3-1-0_093085_2020-11-28_final
2020-12-15 08:58:57	ga_ls7e_ard_3-1-0_093085_2020-12-14_final
2021-02-17 08:54:19	ga_ls7e_ard_3-2-0_093085_2021-02-16_final
2021-03-05 08:53:05	ga_ls7e_ard_3-2-0_093085_2021-03-04_final
2021-04-06 08:50:31	ga_ls7e_ard_3-2-0_093085_2021-04-05_final
2021-04-22 08:49:10	ga_ls7e_ard_3-2-0_093085_2021-04-21_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