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
2013-04-25 11:06:15	ga_ls7e_ard_3-0-0_108081_2013-04-25_final
2013-06-12 11:06:01	ga_ls7e_ard_3-0-0_108081_2013-06-12_final
2013-06-28 11:05:54	ga_ls7e_ard_3-0-0_108081_2013-06-28_final
2013-07-14 11:05:44	ga_ls7e_ard_3-0-0_108081_2013-07-14_final
2013-07-30 11:05:36	ga_ls7e_ard_3-0-0_108081_2013-07-30_final
2013-08-15 11:05:37	ga_ls7e_ard_3-0-0_108081_2013-08-15_final
2013-10-02 11:06:09	ga_ls7e_ard_3-0-0_108081_2013-10-02_final
2013-10-18 11:06:22	ga_ls7e_ard_3-0-0_108081_2013-10-18_final
2013-12-05 11:06:41	ga_ls7e_ard_3-0-0_108081_2013-12-05_final
2014-01-06 11:06:47	ga_ls7e_ard_3-0-0_108081_2014-01-06_final
2014-02-07 11:07:13	ga_ls7e_ard_3-0-0_108081_2014-02-07_final
2014-02-23 11:07:03	ga_ls7e_ard_3-0-0_108081_2014-02-23_final
2014-03-11 11:07:09	ga_ls7e_ard_3-0-0_108081_2014-03-11_final
2014-04-12 11:07:22	ga_ls7e_ard_3-0-0_108081_2014-04-12_final
2014-04-28 11:07:33	ga_ls7e_ard_3-0-0_108081_2014-04-28_final
2014-05-14 11:07:39	ga_ls7e_ard_3-0-0_108081_2014-05-14_final
2014-05-30 11:07:43	ga_ls7e_ard_3-0-0_108081_2014-05-30_final
2014-06-15 11:07:44	ga_ls7e_ard_3-0-0_108081_2014-06-15_final
2014-07-17 11:07:52	ga_ls7e_ard_3-0-0_108081_2014-07-17_final
2014-08-02 11:07:59	ga_ls7e_ard_3-0-0_108081_2014-08-02_final
2014-09-19 11:08:03	ga_ls7e_ard_3-0-0_108081_2014-09-19_final
2014-10-05 11:08:15	ga_ls7e_ard_3-0-0_108081_2014-10-05_final
2014-10-21 11:08:24	ga_ls7e_ard_3-0-0_108081_2014-10-21_final
2014-11-06 11:08:34	ga_ls7e_ard_3-0-0_108081_2014-11-06_final
2014-11-22 11:08:36	ga_ls7e_ard_3-0-0_108081_2014-11-22_final
2014-12-08 11:08:44	ga_ls7e_ard_3-0-0_108081_2014-12-08_final
2014-12-24 11:08:52	ga_ls7e_ard_3-0-0_108081_2014-12-24_final
2015-01-09 11:08:54	ga_ls7e_ard_3-0-0_108081_2015-01-09_final
2015-01-25 11:08:56	ga_ls7e_ard_3-0-0_108081_2015-01-25_final
2015-02-26 11:09:10	ga_ls7e_ard_3-0-0_108081_2015-02-26_final
2015-03-14 11:09:16	ga_ls7e_ard_3-0-0_108081_2015-03-14_final
2015-03-30 11:09:24	ga_ls7e_ard_3-0-0_108081_2015-03-30_final
2015-05-01 11:09:39	ga_ls7e_ard_3-0-0_108081_2015-05-01_final
2015-06-02 11:09:52	ga_ls7e_ard_3-0-0_108081_2015-06-02_final
2015-07-04 11:10:00	ga_ls7e_ard_3-0-0_108081_2015-07-04_final
2015-08-05 11:10:08	ga_ls7e_ard_3-0-0_108081_2015-08-05_final
2015-08-21 11:10:11	ga_ls7e_ard_3-0-0_108081_2015-08-21_final
2015-09-22 11:10:18	ga_ls7e_ard_3-0-0_108081_2015-09-22_final
2015-10-08 11:10:23	ga_ls7e_ard_3-0-0_108081_2015-10-08_final
2015-10-24 11:10:41	ga_ls7e_ard_3-0-0_108081_2015-10-24_final
2015-11-09 11:10:56	ga_ls7e_ard_3-0-0_108081_2015-11-09_final
2015-11-25 11:11:11	ga_ls7e_ard_3-0-0_108081_2015-11-25_final
2015-12-11 11:11:27	ga_ls7e_ard_3-0-0_108081_2015-12-11_final
2015-12-27 11:11:40	ga_ls7e_ard_3-0-0_108081_2015-12-27_final
2016-01-12 11:11:55	ga_ls7e_ard_3-0-0_108081_2016-01-12_final
2016-01-28 11:12:07	ga_ls7e_ard_3-0-0_108081_2016-01-28_final
2016-02-13 11:12:12	ga_ls7e_ard_3-0-0_108081_2016-02-13_final
2016-03-16 11:12:26	ga_ls7e_ard_3-0-0_108081_2016-03-16_final
2016-04-01 11:12:30	ga_ls7e_ard_3-0-0_108081_2016-04-01_final
2016-04-17 11:12:37	ga_ls7e_ard_3-0-0_108081_2016-04-17_final
2016-05-03 11:12:43	ga_ls7e_ard_3-0-0_108081_2016-05-03_final
2016-06-20 11:12:54	ga_ls7e_ard_3-0-0_108081_2016-06-20_final
2016-07-22 11:12:55	ga_ls7e_ard_3-0-0_108081_2016-07-22_final
2016-08-07 11:12:57	ga_ls7e_ard_3-0-0_108081_2016-08-07_final
2016-09-24 11:13:05	ga_ls7e_ard_3-0-0_108081_2016-09-24_final
2016-10-10 11:13:06	ga_ls7e_ard_3-0-0_108081_2016-10-10_final
2016-11-27 11:12:51	ga_ls7e_ard_3-0-0_108081_2016-11-27_final
2016-12-29 11:12:40	ga_ls7e_ard_3-0-0_108081_2016-12-29_final
2017-01-14 11:12:30	ga_ls7e_ard_3-0-0_108081_2017-01-14_final
2017-02-15 11:12:17	ga_ls7e_ard_3-0-0_108081_2017-02-15_final
2017-03-03 11:12:26	ga_ls7e_ard_3-0-0_108081_2017-03-03_final
2017-04-04 11:12:35	ga_ls7e_ard_3-0-0_108081_2017-04-04_final
2017-05-06 11:12:48	ga_ls7e_ard_3-0-0_108081_2017-05-06_final
2017-06-23 11:12:59	ga_ls7e_ard_3-0-0_108081_2017-06-23_final
2017-07-09 11:13:00	ga_ls7e_ard_3-0-0_108081_2017-07-09_final
2017-07-25 11:12:59	ga_ls7e_ard_3-0-0_108081_2017-07-25_final
2017-08-10 11:12:57	ga_ls7e_ard_3-0-0_108081_2017-08-10_final
2017-08-26 11:12:57	ga_ls7e_ard_3-0-0_108081_2017-08-26_final
2017-09-27 11:12:56	ga_ls7e_ard_3-0-0_108081_2017-09-27_final
2017-10-13 11:12:58	ga_ls7e_ard_3-0-0_108081_2017-10-13_final
2017-10-29 11:12:59	ga_ls7e_ard_3-0-0_108081_2017-10-29_final
2017-11-30 11:12:50	ga_ls7e_ard_3-0-0_108081_2017-11-30_final
2018-01-01 11:12:30	ga_ls7e_ard_3-0-0_108081_2018-01-01_final
2020-11-22 10:31:45	ga_ls7e_ard_3-1-0_108081_2020-11-22_final
2020-12-08 10:30:35	ga_ls7e_ard_3-1-0_108081_2020-12-08_final
2020-12-24 10:29:22	ga_ls7e_ard_3-1-0_108081_2020-12-24_final
2021-01-09 10:28:16	ga_ls7e_ard_3-1-0_108081_2021-01-09_final
2021-01-25 10:27:08	ga_ls7e_ard_3-2-0_108081_2021-01-25_final
2021-02-26 10:24:44	ga_ls7e_ard_3-2-0_108081_2021-02-26_final
2021-03-14 10:23:29	ga_ls7e_ard_3-2-0_108081_2021-03-14_final
2021-03-30 10:22:11	ga_ls7e_ard_3-2-0_108081_2021-03-30_final
2021-04-15 10:20:52	ga_ls7e_ard_3-2-0_108081_2021-04-15_final
2021-05-01 10:19:31	ga_ls7e_ard_3-2-0_108081_2021-05-01_final
2021-05-17 10:18:10	ga_ls7e_ard_3-2-0_108081_2021-05-17_final
2021-06-18 10:15:30	ga_ls7e_ard_3-2-0_108081_2021-06-18_final
2021-07-04 10:14:10	ga_ls7e_ard_3-2-0_108081_2021-07-04_final
2021-08-05 10:11:24	ga_ls7e_ard_3-2-0_108081_2021-08-05_final
2021-08-21 10:09:59	ga_ls7e_ard_3-2-0_108081_2021-08-21_final
2021-09-06 10:08:36	ga_ls7e_ard_3-2-0_108081_2021-09-06_final
2021-09-22 10:07:11	ga_ls7e_ard_3-2-0_108081_2021-09-22_final
2021-10-08 10:05:46	ga_ls7e_ard_3-2-0_108081_2021-10-08_final
2021-10-24 10:04:20	ga_ls7e_ard_3-2-0_108081_2021-10-24_final
2021-11-09 10:02:50	ga_ls7e_ard_3-2-0_108081_2021-11-09_final
2021-11-25 10:01:16	ga_ls7e_ard_3-2-1_108081_2021-11-25_final
2021-12-11 09:59:46	ga_ls7e_ard_3-2-1_108081_2021-12-11_final
2021-12-27 09:58:13	ga_ls7e_ard_3-2-1_108081_2021-12-27_final
2022-01-12 09:56:39	ga_ls7e_ard_3-2-1_108081_2022-01-12_final
2022-01-28 09:55:06	ga_ls7e_ard_3-2-1_108081_2022-01-28_final
2022-03-01 09:51:56	ga_ls7e_ard_3-2-1_108081_2022-03-01_final
2022-03-17 09:50:19	ga_ls7e_ard_3-2-1_108081_2022-03-17_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