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
2013-05-16 11:23:57	ga_ls7e_ard_3-0-0_111079_2013-05-16_final
2013-06-01 11:23:49	ga_ls7e_ard_3-0-0_111079_2013-06-01_final
2013-07-03 11:23:35	ga_ls7e_ard_3-0-0_111079_2013-07-03_final
2013-07-19 11:23:26	ga_ls7e_ard_3-0-0_111079_2013-07-19_final
2013-08-04 11:23:20	ga_ls7e_ard_3-0-0_111079_2013-08-04_final
2013-09-21 11:23:47	ga_ls7e_ard_3-0-0_111079_2013-09-21_final
2013-10-07 11:23:59	ga_ls7e_ard_3-0-0_111079_2013-10-07_final
2013-10-23 11:24:08	ga_ls7e_ard_3-0-0_111079_2013-10-23_final
2013-11-08 11:24:14	ga_ls7e_ard_3-0-0_111079_2013-11-08_final
2013-11-24 11:24:19	ga_ls7e_ard_3-0-0_111079_2013-11-24_final
2013-12-26 11:24:29	ga_ls7e_ard_3-0-0_111079_2013-12-26_final
2014-01-11 11:24:33	ga_ls7e_ard_3-0-0_111079_2014-01-11_final
2014-01-27 11:24:53	ga_ls7e_ard_3-0-0_111079_2014-01-27_final
2014-03-16 11:24:57	ga_ls7e_ard_3-0-0_111079_2014-03-16_final
2014-04-01 11:25:03	ga_ls7e_ard_3-0-0_111079_2014-04-01_final
2014-04-17 11:25:11	ga_ls7e_ard_3-0-0_111079_2014-04-17_final
2014-05-03 11:25:18	ga_ls7e_ard_3-0-0_111079_2014-05-03_final
2014-05-19 11:25:26	ga_ls7e_ard_3-0-0_111079_2014-05-19_final
2014-06-04 11:25:29	ga_ls7e_ard_3-0-0_111079_2014-06-04_final
2014-07-06 11:25:36	ga_ls7e_ard_3-0-0_111079_2014-07-06_final
2014-07-22 11:25:39	ga_ls7e_ard_3-0-0_111079_2014-07-22_final
2014-08-07 11:25:44	ga_ls7e_ard_3-0-0_111079_2014-08-07_final
2014-08-23 11:25:42	ga_ls7e_ard_3-0-0_111079_2014-08-23_final
2014-09-08 11:25:44	ga_ls7e_ard_3-0-0_111079_2014-09-08_final
2014-09-24 11:25:50	ga_ls7e_ard_3-0-0_111079_2014-09-24_final
2014-10-10 11:26:02	ga_ls7e_ard_3-0-0_111079_2014-10-10_final
2014-10-26 11:26:11	ga_ls7e_ard_3-0-0_111079_2014-10-26_final
2014-11-11 11:26:20	ga_ls7e_ard_3-0-0_111079_2014-11-11_final
2014-11-27 11:26:24	ga_ls7e_ard_3-0-0_111079_2014-11-27_final
2014-12-13 11:26:32	ga_ls7e_ard_3-0-0_111079_2014-12-13_final
2014-12-29 11:26:35	ga_ls7e_ard_3-0-0_111079_2014-12-29_final
2015-01-14 11:26:39	ga_ls7e_ard_3-0-0_111079_2015-01-14_final
2015-01-30 11:26:44	ga_ls7e_ard_3-0-0_111079_2015-01-30_final
2015-02-15 11:26:46	ga_ls7e_ard_3-0-0_111079_2015-02-15_final
2015-03-19 11:27:05	ga_ls7e_ard_3-0-0_111079_2015-03-19_final
2015-04-04 11:27:11	ga_ls7e_ard_3-0-0_111079_2015-04-04_final
2015-04-20 11:27:18	ga_ls7e_ard_3-0-0_111079_2015-04-20_final
2015-05-06 11:27:25	ga_ls7e_ard_3-0-0_111079_2015-05-06_final
2015-05-22 11:27:32	ga_ls7e_ard_3-0-0_111079_2015-05-22_final
2015-06-07 11:27:39	ga_ls7e_ard_3-0-0_111079_2015-06-07_final
2015-06-23 11:27:41	ga_ls7e_ard_3-0-0_111079_2015-06-23_final
2015-07-09 11:27:47	ga_ls7e_ard_3-0-0_111079_2015-07-09_final
2015-08-10 11:27:54	ga_ls7e_ard_3-0-0_111079_2015-08-10_final
2015-09-11 11:27:59	ga_ls7e_ard_3-0-0_111079_2015-09-11_final
2015-09-27 11:28:03	ga_ls7e_ard_3-0-0_111079_2015-09-27_final
2015-10-29 11:28:30	ga_ls7e_ard_3-0-0_111079_2015-10-29_final
2015-11-14 11:28:46	ga_ls7e_ard_3-0-0_111079_2015-11-14_final
2015-11-30 11:28:59	ga_ls7e_ard_3-0-0_111079_2015-11-30_final
2015-12-16 11:29:16	ga_ls7e_ard_3-0-0_111079_2015-12-16_final
2016-01-17 11:29:44	ga_ls7e_ard_3-0-0_111079_2016-01-17_final
2016-04-06 11:30:15	ga_ls7e_ard_3-0-0_111079_2016-04-06_final
2016-05-08 11:30:28	ga_ls7e_ard_3-0-0_111079_2016-05-08_final
2016-05-24 11:30:32	ga_ls7e_ard_3-0-0_111079_2016-05-24_final
2016-06-25 11:30:39	ga_ls7e_ard_3-0-0_111079_2016-06-25_final
2016-07-11 11:30:38	ga_ls7e_ard_3-0-0_111079_2016-07-11_final
2016-07-27 11:30:41	ga_ls7e_ard_3-0-0_111079_2016-07-27_final
2016-08-12 11:30:42	ga_ls7e_ard_3-0-0_111079_2016-08-12_final
2016-08-28 11:30:45	ga_ls7e_ard_3-0-0_111079_2016-08-28_final
2016-09-13 11:30:47	ga_ls7e_ard_3-0-0_111079_2016-09-13_final
2016-09-29 11:30:50	ga_ls7e_ard_3-0-0_111079_2016-09-29_final
2016-10-15 11:30:50	ga_ls7e_ard_3-0-0_111079_2016-10-15_final
2016-10-31 11:30:45	ga_ls7e_ard_3-0-0_111079_2016-10-31_final
2016-12-18 11:30:30	ga_ls7e_ard_3-0-0_111079_2016-12-18_final
2017-01-03 11:30:21	ga_ls7e_ard_3-0-0_111079_2017-01-03_final
2017-01-19 11:30:11	ga_ls7e_ard_3-0-0_111079_2017-01-19_final
2017-02-04 11:30:04	ga_ls7e_ard_3-0-0_111079_2017-02-04_final
2017-02-20 11:30:05	ga_ls7e_ard_3-0-0_111079_2017-02-20_final
2017-03-08 11:30:13	ga_ls7e_ard_3-0-0_111079_2017-03-08_final
2017-05-27 11:30:36	ga_ls7e_ard_3-0-0_111079_2017-05-27_final
2017-06-12 11:30:41	ga_ls7e_ard_3-0-0_111079_2017-06-12_final
2017-08-15 11:30:41	ga_ls7e_ard_3-0-0_111079_2017-08-15_final
2020-11-27 10:49:08	ga_ls7e_ard_3-1-0_111079_2020-11-27_final
2020-12-13 10:47:57	ga_ls7e_ard_3-1-0_111079_2020-12-13_final
2020-12-29 10:46:46	ga_ls7e_ard_3-1-0_111079_2020-12-29_final
2021-01-14 10:45:39	ga_ls7e_ard_3-1-0_111079_2021-01-14_final
2021-01-30 10:44:30	ga_ls7e_ard_3-2-0_111079_2021-01-30_final
2021-02-15 10:43:19	ga_ls7e_ard_3-2-0_111079_2021-02-15_final
2021-03-19 10:40:49	ga_ls7e_ard_3-2-0_111079_2021-03-19_final
2021-04-04 10:39:31	ga_ls7e_ard_3-2-0_111079_2021-04-04_final
2021-04-20 10:38:11	ga_ls7e_ard_3-2-0_111079_2021-04-20_final
2021-05-06 10:36:50	ga_ls7e_ard_3-2-0_111079_2021-05-06_final
2021-05-22 10:35:29	ga_ls7e_ard_3-2-0_111079_2021-05-22_final
2021-06-07 10:34:08	ga_ls7e_ard_3-2-0_111079_2021-06-07_final
2021-06-23 10:32:50	ga_ls7e_ard_3-2-0_111079_2021-06-23_final
2021-07-09 10:31:29	ga_ls7e_ard_3-2-0_111079_2021-07-09_final
2021-07-25 10:30:07	ga_ls7e_ard_3-2-0_111079_2021-07-25_final
2021-08-10 10:28:42	ga_ls7e_ard_3-2-0_111079_2021-08-10_final
2021-08-26 10:27:18	ga_ls7e_ard_3-2-0_111079_2021-08-26_final
2021-09-11 10:25:54	ga_ls7e_ard_3-2-0_111079_2021-09-11_final
2021-09-27 10:24:28	ga_ls7e_ard_3-2-0_111079_2021-09-27_final
2021-10-13 10:23:04	ga_ls7e_ard_3-2-0_111079_2021-10-13_final
2021-10-29 10:21:37	ga_ls7e_ard_3-2-0_111079_2021-10-29_final
2021-11-14 10:20:05	ga_ls7e_ard_3-2-1_111079_2021-11-14_final
2021-11-30 10:18:33	ga_ls7e_ard_3-2-1_111079_2021-11-30_final
2021-12-16 10:17:02	ga_ls7e_ard_3-2-1_111079_2021-12-16_final
2022-01-01 10:15:27	ga_ls7e_ard_3-2-1_111079_2022-01-01_final
2022-01-17 10:13:55	ga_ls7e_ard_3-2-1_111079_2022-01-17_final
2022-02-02 10:12:21	ga_ls7e_ard_3-2-1_111079_2022-02-02_final
2022-02-18 10:10:43	ga_ls7e_ard_3-2-1_111079_2022-02-18_final
2022-03-06 10:09:11	ga_ls7e_ard_3-2-1_111079_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