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
2013-05-10 10:18:57	ga_ls7e_ard_3-0-0_101071_2013-05-10_final
2013-07-29 10:18:21	ga_ls7e_ard_3-0-0_101071_2013-07-29_final
2013-10-01 10:18:53	ga_ls7e_ard_3-0-0_101071_2013-10-01_final
2013-10-17 10:19:06	ga_ls7e_ard_3-0-0_101071_2013-10-17_final
2013-11-02 10:19:10	ga_ls7e_ard_3-0-0_101071_2013-11-02_final
2013-11-18 10:19:16	ga_ls7e_ard_3-0-0_101071_2013-11-18_final
2013-12-04 10:19:25	ga_ls7e_ard_3-0-0_101071_2013-12-04_final
2013-12-20 10:19:26	ga_ls7e_ard_3-0-0_101071_2013-12-20_final
2014-02-06 10:19:59	ga_ls7e_ard_3-0-0_101071_2014-02-06_final
2014-02-22 10:19:48	ga_ls7e_ard_3-0-0_101071_2014-02-22_final
2014-03-10 10:19:54	ga_ls7e_ard_3-0-0_101071_2014-03-10_final
2014-03-26 10:20:00	ga_ls7e_ard_3-0-0_101071_2014-03-26_final
2014-04-11 10:20:06	ga_ls7e_ard_3-0-0_101071_2014-04-11_final
2014-04-27 10:20:17	ga_ls7e_ard_3-0-0_101071_2014-04-27_final
2014-05-13 10:20:23	ga_ls7e_ard_3-0-0_101071_2014-05-13_final
2014-05-29 10:20:28	ga_ls7e_ard_3-0-0_101071_2014-05-29_final
2014-06-14 10:20:29	ga_ls7e_ard_3-0-0_101071_2014-06-14_final
2014-06-30 10:20:35	ga_ls7e_ard_3-0-0_101071_2014-06-30_final
2014-07-16 10:20:36	ga_ls7e_ard_3-0-0_101071_2014-07-16_final
2014-08-01 10:20:43	ga_ls7e_ard_3-0-0_101071_2014-08-01_final
2014-08-17 10:20:44	ga_ls7e_ard_3-0-0_101071_2014-08-17_final
2014-09-02 10:20:43	ga_ls7e_ard_3-0-0_101071_2014-09-02_final
2014-09-18 10:20:47	ga_ls7e_ard_3-0-0_101071_2014-09-18_final
2014-10-04 10:20:59	ga_ls7e_ard_3-0-0_101071_2014-10-04_final
2014-10-20 10:21:08	ga_ls7e_ard_3-0-0_101071_2014-10-20_final
2014-11-05 10:21:18	ga_ls7e_ard_3-0-0_101071_2014-11-05_final
2014-11-21 10:21:21	ga_ls7e_ard_3-0-0_101071_2014-11-21_final
2014-12-07 10:21:29	ga_ls7e_ard_3-0-0_101071_2014-12-07_final
2014-12-23 10:21:37	ga_ls7e_ard_3-0-0_101071_2014-12-23_final
2015-01-24 10:21:40	ga_ls7e_ard_3-0-0_101071_2015-01-24_final
2015-02-09 10:21:47	ga_ls7e_ard_3-0-0_101071_2015-02-09_final
2015-02-25 10:21:55	ga_ls7e_ard_3-0-0_101071_2015-02-25_final
2015-03-13 10:22:00	ga_ls7e_ard_3-0-0_101071_2015-03-13_final
2015-03-29 10:22:09	ga_ls7e_ard_3-0-0_101071_2015-03-29_final
2015-04-14 10:22:18	ga_ls7e_ard_3-0-0_101071_2015-04-14_final
2015-04-30 10:22:23	ga_ls7e_ard_3-0-0_101071_2015-04-30_final
2015-05-16 10:22:32	ga_ls7e_ard_3-0-0_101071_2015-05-16_final
2015-06-01 10:22:36	ga_ls7e_ard_3-0-0_101071_2015-06-01_final
2015-06-17 10:22:42	ga_ls7e_ard_3-0-0_101071_2015-06-17_final
2015-07-03 10:22:45	ga_ls7e_ard_3-0-0_101071_2015-07-03_final
2015-07-19 10:22:50	ga_ls7e_ard_3-0-0_101071_2015-07-19_final
2015-08-04 10:22:53	ga_ls7e_ard_3-0-0_101071_2015-08-04_final
2015-08-20 10:22:56	ga_ls7e_ard_3-0-0_101071_2015-08-20_final
2015-09-05 10:22:57	ga_ls7e_ard_3-0-0_101071_2015-09-05_final
2015-09-21 10:23:02	ga_ls7e_ard_3-0-0_101071_2015-09-21_final
2015-10-07 10:23:07	ga_ls7e_ard_3-0-0_101071_2015-10-07_final
2015-10-23 10:23:25	ga_ls7e_ard_3-0-0_101071_2015-10-23_final
2015-11-08 10:23:40	ga_ls7e_ard_3-0-0_101071_2015-11-08_final
2016-01-11 10:24:39	ga_ls7e_ard_3-0-0_101071_2016-01-11_final
2016-01-27 10:24:51	ga_ls7e_ard_3-0-0_101071_2016-01-27_final
2016-02-28 10:25:01	ga_ls7e_ard_3-0-0_101071_2016-02-28_final
2016-04-16 10:25:21	ga_ls7e_ard_3-0-0_101071_2016-04-16_final
2016-05-18 10:25:29	ga_ls7e_ard_3-0-0_101071_2016-05-18_final
2016-06-03 10:25:36	ga_ls7e_ard_3-0-0_101071_2016-06-03_final
2016-07-05 10:25:39	ga_ls7e_ard_3-0-0_101071_2016-07-05_final
2016-07-21 10:25:40	ga_ls7e_ard_3-0-0_101071_2016-07-21_final
2016-08-06 10:25:42	ga_ls7e_ard_3-0-0_101071_2016-08-06_final
2016-08-22 10:25:44	ga_ls7e_ard_3-0-0_101071_2016-08-22_final
2016-09-23 10:25:49	ga_ls7e_ard_3-0-0_101071_2016-09-23_final
2016-10-25 10:25:47	ga_ls7e_ard_3-0-0_101071_2016-10-25_final
2016-11-26 10:25:36	ga_ls7e_ard_3-0-0_101071_2016-11-26_final
2016-12-12 10:25:33	ga_ls7e_ard_3-0-0_101071_2016-12-12_final
2017-01-29 10:25:06	ga_ls7e_ard_3-0-0_101071_2017-01-29_final
2017-03-18 10:25:16	ga_ls7e_ard_3-0-0_101071_2017-03-18_final
2017-05-05 10:25:32	ga_ls7e_ard_3-0-0_101071_2017-05-05_final
2017-05-21 10:25:35	ga_ls7e_ard_3-0-0_101071_2017-05-21_final
2017-06-06 10:25:40	ga_ls7e_ard_3-0-0_101071_2017-06-06_final
2017-06-22 10:25:43	ga_ls7e_ard_3-0-0_101071_2017-06-22_final
2017-07-08 10:25:45	ga_ls7e_ard_3-0-0_101071_2017-07-08_final
2017-08-25 10:25:42	ga_ls7e_ard_3-0-0_101071_2017-08-25_final
2017-09-10 10:25:41	ga_ls7e_ard_3-0-0_101071_2017-09-10_final
2017-10-28 10:25:43	ga_ls7e_ard_3-0-0_101071_2017-10-28_final
2017-11-13 10:25:41	ga_ls7e_ard_3-0-0_101071_2017-11-13_final
2020-06-14 09:54:49	ga_ls7e_ard_3-1-0_101071_2020-06-14_final
2020-11-21 09:44:34	ga_ls7e_ard_3-1-0_101071_2020-11-21_final
2020-12-07 09:43:24	ga_ls7e_ard_3-1-0_101071_2020-12-07_final
2020-12-23 09:42:11	ga_ls7e_ard_3-1-0_101071_2020-12-23_final
2021-01-08 09:41:05	ga_ls7e_ard_3-1-0_101071_2021-01-08_final
2021-01-24 09:39:57	ga_ls7e_ard_3-2-0_101071_2021-01-24_final
2021-02-25 09:37:34	ga_ls7e_ard_3-2-0_101071_2021-02-25_final
2021-03-13 09:36:19	ga_ls7e_ard_3-2-0_101071_2021-03-13_final
2021-03-29 09:35:01	ga_ls7e_ard_3-2-0_101071_2021-03-29_final
2021-04-14 09:33:42	ga_ls7e_ard_3-2-0_101071_2021-04-14_final
2021-04-30 09:32:21	ga_ls7e_ard_3-2-0_101071_2021-04-30_final
2021-05-16 09:31:00	ga_ls7e_ard_3-2-0_101071_2021-05-16_final
2021-06-01 09:29:38	ga_ls7e_ard_3-2-0_101071_2021-05-31_final
2021-06-17 09:28:20	ga_ls7e_ard_3-2-0_101071_2021-06-16_final
2021-07-03 09:27:00	ga_ls7e_ard_3-2-0_101071_2021-07-02_final
2021-07-19 09:25:38	ga_ls7e_ard_3-2-0_101071_2021-07-18_final
2021-08-04 09:24:14	ga_ls7e_ard_3-2-0_101071_2021-08-03_final
2021-08-20 09:22:49	ga_ls7e_ard_3-2-0_101071_2021-08-19_final
2021-09-05 09:21:27	ga_ls7e_ard_3-2-0_101071_2021-09-04_final
2021-09-21 09:20:01	ga_ls7e_ard_3-2-0_101071_2021-09-20_final
2021-10-07 09:18:36	ga_ls7e_ard_3-2-0_101071_2021-10-06_final
2021-10-23 09:17:10	ga_ls7e_ard_3-2-0_101071_2021-10-22_final
2021-11-08 09:15:41	ga_ls7e_ard_3-2-0_101071_2021-11-07_final
2021-12-10 09:12:37	ga_ls7e_ard_3-2-1_101071_2021-12-09_final
2022-01-11 09:09:29	ga_ls7e_ard_3-2-1_101071_2022-01-10_final
2022-02-12 09:06:20	ga_ls7e_ard_3-2-1_101071_2022-02-11_final
2022-02-28 09:04:46	ga_ls7e_ard_3-2-1_101071_2022-02-27_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