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
2012-06-16 11:08:57	ga_ls7e_ard_3-0-0_109076_2012-06-16_final
2012-07-02 11:09:06	ga_ls7e_ard_3-0-0_109076_2012-07-02_final
2012-07-18 11:09:20	ga_ls7e_ard_3-0-0_109076_2012-07-18_final
2012-08-19 11:09:42	ga_ls7e_ard_3-0-0_109076_2012-08-19_final
2012-09-20 11:10:00	ga_ls7e_ard_3-0-0_109076_2012-09-20_final
2012-11-07 11:10:22	ga_ls7e_ard_3-0-0_109076_2012-11-07_final
2012-11-23 11:10:31	ga_ls7e_ard_3-0-0_109076_2012-11-23_final
2013-01-10 11:10:41	ga_ls7e_ard_3-0-0_109076_2013-01-10_final
2013-03-15 11:10:39	ga_ls7e_ard_3-0-0_109076_2013-03-15_final
2013-03-31 11:10:34	ga_ls7e_ard_3-0-0_109076_2013-03-31_final
2013-04-16 11:10:30	ga_ls7e_ard_3-0-0_109076_2013-04-16_final
2013-05-02 11:10:26	ga_ls7e_ard_3-0-0_109076_2013-05-02_final
2013-06-19 11:10:10	ga_ls7e_ard_3-0-0_109076_2013-06-19_final
2013-07-05 11:10:00	ga_ls7e_ard_3-0-0_109076_2013-07-05_final
2013-07-21 11:09:52	ga_ls7e_ard_3-0-0_109076_2013-07-21_final
2013-08-22 11:09:53	ga_ls7e_ard_3-0-0_109076_2013-08-22_final
2013-09-07 11:10:05	ga_ls7e_ard_3-0-0_109076_2013-09-07_final
2013-10-09 11:10:27	ga_ls7e_ard_3-0-0_109076_2013-10-09_final
2013-10-25 11:10:35	ga_ls7e_ard_3-0-0_109076_2013-10-25_final
2013-11-26 11:10:47	ga_ls7e_ard_3-0-0_109076_2013-11-26_final
2013-12-12 11:10:52	ga_ls7e_ard_3-0-0_109076_2013-12-12_final
2013-12-28 11:10:56	ga_ls7e_ard_3-0-0_109076_2013-12-28_final
2014-01-13 11:11:02	ga_ls7e_ard_3-0-0_109076_2014-01-13_final
2014-01-29 11:11:21	ga_ls7e_ard_3-0-0_109076_2014-01-29_final
2014-03-02 11:11:16	ga_ls7e_ard_3-0-0_109076_2014-03-02_final
2014-04-03 11:11:30	ga_ls7e_ard_3-0-0_109076_2014-04-03_final
2014-04-19 11:11:39	ga_ls7e_ard_3-0-0_109076_2014-04-19_final
2014-06-06 11:11:56	ga_ls7e_ard_3-0-0_109076_2014-06-06_final
2014-06-22 11:11:57	ga_ls7e_ard_3-0-0_109076_2014-06-22_final
2014-08-09 11:12:11	ga_ls7e_ard_3-0-0_109076_2014-08-09_final
2014-09-26 11:12:17	ga_ls7e_ard_3-0-0_109076_2014-09-26_final
2014-10-12 11:12:29	ga_ls7e_ard_3-0-0_109076_2014-10-12_final
2014-10-28 11:12:38	ga_ls7e_ard_3-0-0_109076_2014-10-28_final
2014-11-13 11:12:47	ga_ls7e_ard_3-0-0_109076_2014-11-13_final
2014-11-29 11:12:52	ga_ls7e_ard_3-0-0_109076_2014-11-29_final
2014-12-15 11:13:00	ga_ls7e_ard_3-0-0_109076_2014-12-15_final
2014-12-31 11:13:01	ga_ls7e_ard_3-0-0_109076_2014-12-31_final
2015-01-16 11:13:05	ga_ls7e_ard_3-0-0_109076_2015-01-16_final
2015-02-01 11:13:12	ga_ls7e_ard_3-0-0_109076_2015-02-01_final
2015-02-17 11:13:15	ga_ls7e_ard_3-0-0_109076_2015-02-17_final
2015-03-05 11:13:24	ga_ls7e_ard_3-0-0_109076_2015-03-05_final
2015-03-21 11:13:33	ga_ls7e_ard_3-0-0_109076_2015-03-21_final
2015-04-06 11:13:40	ga_ls7e_ard_3-0-0_109076_2015-04-06_final
2015-05-08 11:13:53	ga_ls7e_ard_3-0-0_109076_2015-05-08_final
2015-06-09 11:14:06	ga_ls7e_ard_3-0-0_109076_2015-06-09_final
2015-06-25 11:14:07	ga_ls7e_ard_3-0-0_109076_2015-06-25_final
2015-07-11 11:14:15	ga_ls7e_ard_3-0-0_109076_2015-07-11_final
2015-08-12 11:14:21	ga_ls7e_ard_3-0-0_109076_2015-08-12_final
2015-08-28 11:14:22	ga_ls7e_ard_3-0-0_109076_2015-08-28_final
2015-09-13 11:14:26	ga_ls7e_ard_3-0-0_109076_2015-09-13_final
2015-09-29 11:14:30	ga_ls7e_ard_3-0-0_109076_2015-09-29_final
2015-10-15 11:14:43	ga_ls7e_ard_3-0-0_109076_2015-10-15_final
2015-10-31 11:14:58	ga_ls7e_ard_3-0-0_109076_2015-10-31_final
2015-11-16 11:15:15	ga_ls7e_ard_3-0-0_109076_2015-11-16_final
2015-12-02 11:15:27	ga_ls7e_ard_3-0-0_109076_2015-12-02_final
2015-12-18 11:15:45	ga_ls7e_ard_3-0-0_109076_2015-12-18_final
2016-01-03 11:15:58	ga_ls7e_ard_3-0-0_109076_2016-01-03_final
2016-02-04 11:16:21	ga_ls7e_ard_3-0-0_109076_2016-02-04_final
2016-02-20 11:16:24	ga_ls7e_ard_3-0-0_109076_2016-02-20_final
2016-03-07 11:16:33	ga_ls7e_ard_3-0-0_109076_2016-03-07_final
2016-03-23 11:16:39	ga_ls7e_ard_3-0-0_109076_2016-03-23_final
2016-04-08 11:16:43	ga_ls7e_ard_3-0-0_109076_2016-04-08_final
2016-05-10 11:16:55	ga_ls7e_ard_3-0-0_109076_2016-05-10_final
2016-05-26 11:16:59	ga_ls7e_ard_3-0-0_109076_2016-05-26_final
2016-06-11 11:17:04	ga_ls7e_ard_3-0-0_109076_2016-06-11_final
2016-06-27 11:17:05	ga_ls7e_ard_3-0-0_109076_2016-06-27_final
2016-07-13 11:17:04	ga_ls7e_ard_3-0-0_109076_2016-07-13_final
2016-08-30 11:17:12	ga_ls7e_ard_3-0-0_109076_2016-08-30_final
2016-09-15 11:17:14	ga_ls7e_ard_3-0-0_109076_2016-09-15_final
2016-10-01 11:17:17	ga_ls7e_ard_3-0-0_109076_2016-10-01_final
2016-10-17 11:17:16	ga_ls7e_ard_3-0-0_109076_2016-10-17_final
2016-11-02 11:17:11	ga_ls7e_ard_3-0-0_109076_2016-11-02_final
2020-11-29 10:35:26	ga_ls7e_ard_3-1-0_109076_2020-11-29_final
2020-12-15 10:34:14	ga_ls7e_ard_3-1-0_109076_2020-12-15_final
2020-12-31 10:33:05	ga_ls7e_ard_3-1-0_109076_2020-12-31_final
2021-01-16 10:31:57	ga_ls7e_ard_3-1-0_109076_2021-01-16_final
2021-02-17 10:29:36	ga_ls7e_ard_3-2-0_109076_2021-02-17_final
2021-03-05 10:28:22	ga_ls7e_ard_3-2-0_109076_2021-03-05_final
2021-03-21 10:27:06	ga_ls7e_ard_3-2-0_109076_2021-03-21_final
2021-04-06 10:25:48	ga_ls7e_ard_3-2-0_109076_2021-04-06_final
2021-04-22 10:24:27	ga_ls7e_ard_3-2-0_109076_2021-04-22_final
2021-05-08 10:23:07	ga_ls7e_ard_3-2-0_109076_2021-05-08_final
2021-05-24 10:21:46	ga_ls7e_ard_3-2-0_109076_2021-05-24_final
2021-06-09 10:20:25	ga_ls7e_ard_3-2-0_109076_2021-06-09_final
2021-06-25 10:19:06	ga_ls7e_ard_3-2-0_109076_2021-06-25_final
2021-07-11 10:17:46	ga_ls7e_ard_3-2-0_109076_2021-07-11_final
2021-07-27 10:16:23	ga_ls7e_ard_3-2-0_109076_2021-07-27_final
2021-08-12 10:14:58	ga_ls7e_ard_3-2-0_109076_2021-08-12_final
2021-08-28 10:13:34	ga_ls7e_ard_3-2-0_109076_2021-08-28_final
2021-09-13 10:12:10	ga_ls7e_ard_3-2-0_109076_2021-09-13_final
2021-09-29 10:10:44	ga_ls7e_ard_3-2-0_109076_2021-09-29_final
2021-10-15 10:09:20	ga_ls7e_ard_3-2-0_109076_2021-10-15_final
2021-11-16 10:06:20	ga_ls7e_ard_3-2-1_109076_2021-11-16_final
2021-12-02 10:04:49	ga_ls7e_ard_3-2-1_109076_2021-12-02_final
2021-12-18 10:03:17	ga_ls7e_ard_3-2-1_109076_2021-12-18_final
2022-01-03 10:01:41	ga_ls7e_ard_3-2-1_109076_2022-01-03_final
2022-01-19 10:00:10	ga_ls7e_ard_3-2-1_109076_2022-01-19_final
2022-02-04 09:58:35	ga_ls7e_ard_3-2-1_109076_2022-02-04_final
2022-02-20 09:56:58	ga_ls7e_ard_3-2-1_109076_2022-02-20_final
2022-03-08 09:55:25	ga_ls7e_ard_3-2-1_109076_2022-03-08_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