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
2014-07-02 10:09:26	ga_ls7e_ard_3-0-0_099074_2014-07-02_final
2014-07-18 10:09:27	ga_ls7e_ard_3-0-0_099074_2014-07-18_final
2014-08-03 10:09:34	ga_ls7e_ard_3-0-0_099074_2014-08-03_final
2014-08-19 10:09:34	ga_ls7e_ard_3-0-0_099074_2014-08-19_final
2014-09-04 10:09:34	ga_ls7e_ard_3-0-0_099074_2014-09-04_final
2014-09-20 10:09:38	ga_ls7e_ard_3-0-0_099074_2014-09-20_final
2014-10-06 10:09:51	ga_ls7e_ard_3-0-0_099074_2014-10-06_final
2014-10-22 10:10:00	ga_ls7e_ard_3-0-0_099074_2014-10-22_final
2014-11-07 10:10:09	ga_ls7e_ard_3-0-0_099074_2014-11-07_final
2014-11-23 10:10:12	ga_ls7e_ard_3-0-0_099074_2014-11-23_final
2014-12-25 10:10:27	ga_ls7e_ard_3-0-0_099074_2014-12-25_final
2015-01-10 10:10:29	ga_ls7e_ard_3-0-0_099074_2015-01-10_final
2015-01-26 10:10:32	ga_ls7e_ard_3-0-0_099074_2015-01-26_final
2015-03-15 10:10:52	ga_ls7e_ard_3-0-0_099074_2015-03-15_final
2015-03-31 10:10:59	ga_ls7e_ard_3-0-0_099074_2015-03-31_final
2015-04-16 10:11:08	ga_ls7e_ard_3-0-0_099074_2015-04-16_final
2015-05-02 10:11:14	ga_ls7e_ard_3-0-0_099074_2015-05-02_final
2015-06-03 10:11:27	ga_ls7e_ard_3-0-0_099074_2015-06-03_final
2015-06-19 10:11:32	ga_ls7e_ard_3-0-0_099074_2015-06-19_final
2015-07-21 10:11:40	ga_ls7e_ard_3-0-0_099074_2015-07-21_final
2015-08-06 10:11:44	ga_ls7e_ard_3-0-0_099074_2015-08-06_final
2015-08-22 10:11:46	ga_ls7e_ard_3-0-0_099074_2015-08-22_final
2015-09-07 10:11:48	ga_ls7e_ard_3-0-0_099074_2015-09-07_final
2015-09-23 10:11:53	ga_ls7e_ard_3-0-0_099074_2015-09-23_final
2015-10-25 10:12:17	ga_ls7e_ard_3-0-0_099074_2015-10-25_final
2015-11-10 10:12:32	ga_ls7e_ard_3-0-0_099074_2015-11-10_final
2015-11-26 10:12:47	ga_ls7e_ard_3-0-0_099074_2015-11-26_final
2015-12-12 10:13:03	ga_ls7e_ard_3-0-0_099074_2015-12-12_final
2016-01-13 10:13:31	ga_ls7e_ard_3-0-0_099074_2016-01-13_final
2016-01-29 10:13:42	ga_ls7e_ard_3-0-0_099074_2016-01-29_final
2016-03-01 10:13:52	ga_ls7e_ard_3-0-0_099074_2016-03-01_final
2016-03-17 10:14:02	ga_ls7e_ard_3-0-0_099074_2016-03-17_final
2016-04-02 10:14:05	ga_ls7e_ard_3-0-0_099074_2016-04-02_final
2016-04-18 10:14:13	ga_ls7e_ard_3-0-0_099074_2016-04-18_final
2016-05-04 10:14:18	ga_ls7e_ard_3-0-0_099074_2016-05-04_final
2016-05-20 10:14:20	ga_ls7e_ard_3-0-0_099074_2016-05-20_final
2016-06-05 10:14:26	ga_ls7e_ard_3-0-0_099074_2016-06-05_final
2016-06-21 10:14:29	ga_ls7e_ard_3-0-0_099074_2016-06-21_final
2016-07-07 10:14:29	ga_ls7e_ard_3-0-0_099074_2016-07-07_final
2016-07-23 10:14:31	ga_ls7e_ard_3-0-0_099074_2016-07-23_final
2016-08-08 10:14:33	ga_ls7e_ard_3-0-0_099074_2016-08-08_final
2016-08-24 10:14:35	ga_ls7e_ard_3-0-0_099074_2016-08-24_final
2016-09-09 10:14:38	ga_ls7e_ard_3-0-0_099074_2016-09-09_final
2016-09-25 10:14:40	ga_ls7e_ard_3-0-0_099074_2016-09-25_final
2016-10-11 10:14:41	ga_ls7e_ard_3-0-0_099074_2016-10-11_final
2016-10-27 10:14:37	ga_ls7e_ard_3-0-0_099074_2016-10-27_final
2016-11-28 10:14:26	ga_ls7e_ard_3-0-0_099074_2016-11-28_final
2016-12-14 10:14:22	ga_ls7e_ard_3-0-0_099074_2016-12-14_final
2016-12-30 10:14:15	ga_ls7e_ard_3-0-0_099074_2016-12-30_final
2017-01-31 10:13:56	ga_ls7e_ard_3-0-0_099074_2017-01-31_final
2017-02-16 10:13:53	ga_ls7e_ard_3-0-0_099074_2017-02-16_final
2017-03-04 10:14:01	ga_ls7e_ard_3-0-0_099074_2017-03-04_final
2017-03-20 10:14:07	ga_ls7e_ard_3-0-0_099074_2017-03-20_final
2017-04-05 10:14:11	ga_ls7e_ard_3-0-0_099074_2017-04-05_final
2017-04-21 10:14:18	ga_ls7e_ard_3-0-0_099074_2017-04-21_final
2017-05-07 10:14:23	ga_ls7e_ard_3-0-0_099074_2017-05-07_final
2017-05-23 10:14:26	ga_ls7e_ard_3-0-0_099074_2017-05-23_final
2017-06-08 10:14:31	ga_ls7e_ard_3-0-0_099074_2017-06-08_final
2017-06-24 10:14:34	ga_ls7e_ard_3-0-0_099074_2017-06-24_final
2017-07-10 10:14:35	ga_ls7e_ard_3-0-0_099074_2017-07-10_final
2017-07-26 10:14:34	ga_ls7e_ard_3-0-0_099074_2017-07-26_final
2017-08-11 10:14:32	ga_ls7e_ard_3-0-0_099074_2017-08-11_final
2017-08-27 10:14:32	ga_ls7e_ard_3-0-0_099074_2017-08-27_final
2017-09-12 10:14:31	ga_ls7e_ard_3-0-0_099074_2017-09-12_final
2017-09-28 10:14:31	ga_ls7e_ard_3-0-0_099074_2017-09-28_final
2017-10-14 10:14:33	ga_ls7e_ard_3-0-0_099074_2017-10-14_final
2017-10-30 10:14:34	ga_ls7e_ard_3-0-0_099074_2017-10-30_final
2017-11-15 10:14:31	ga_ls7e_ard_3-0-0_099074_2017-11-15_final
2017-12-01 10:14:25	ga_ls7e_ard_3-0-0_099074_2017-12-01_final
2017-12-17 10:14:16	ga_ls7e_ard_3-0-0_099074_2017-12-17_final
2018-01-02 10:14:05	ga_ls7e_ard_3-0-0_099074_2018-01-02_final
2018-01-18 10:13:51	ga_ls7e_ard_3-0-0_099074_2018-01-18_final
2018-02-03 10:13:35	ga_ls7e_ard_3-0-0_099074_2018-02-03_final
2018-02-19 10:13:24	ga_ls7e_ard_3-0-0_099074_2018-02-19_final
2018-03-23 10:13:01	ga_ls7e_ard_3-0-0_099074_2018-03-23_final
2018-04-08 10:12:47	ga_ls7e_ard_3-0-0_099074_2018-04-08_final
2018-04-24 10:12:31	ga_ls7e_ard_3-0-0_099074_2018-04-24_final
2018-05-10 10:12:13	ga_ls7e_ard_3-0-0_099074_2018-05-10_final
2018-05-26 10:11:59	ga_ls7e_ard_3-0-0_099074_2018-05-26_final
2018-06-11 10:11:42	ga_ls7e_ard_3-0-0_099074_2018-06-11_final
2018-06-27 10:11:24	ga_ls7e_ard_3-0-0_099074_2018-06-27_final
2018-07-13 10:11:05	ga_ls7e_ard_3-0-0_099074_2018-07-13_final
2018-07-29 10:10:49	ga_ls7e_ard_3-0-0_099074_2018-07-29_final
2018-08-14 10:10:31	ga_ls7e_ard_3-0-0_099074_2018-08-14_final
2018-08-30 10:10:12	ga_ls7e_ard_3-0-0_099074_2018-08-30_final
2018-09-15 10:09:51	ga_ls7e_ard_3-0-0_099074_2018-09-15_final
2018-10-01 10:09:28	ga_ls7e_ard_3-0-0_099074_2018-10-01_final
2018-10-17 10:09:04	ga_ls7e_ard_3-0-0_099074_2018-10-17_final
2018-11-18 10:08:22	ga_ls7e_ard_3-0-0_099074_2018-11-18_final
2019-05-13 10:02:45	ga_ls7e_ard_3-0-0_099074_2019-05-13_final
2019-08-01 09:59:43	ga_ls7e_ard_3-0-0_099074_2019-08-01_final
2019-10-04 09:57:00	ga_ls7e_ard_3-1-0_099074_2019-10-04_final
2019-12-23 09:53:17	ga_ls7e_ard_3-1-0_099074_2019-12-23_final
2020-01-08 09:52:27	ga_ls7e_ard_3-1-0_099074_2020-01-08_final
2020-03-12 09:49:10	ga_ls7e_ard_3-1-0_099074_2020-03-12_final
2020-05-31 09:44:28	ga_ls7e_ard_3-1-0_099074_2020-05-31_final
2020-06-16 09:43:32	ga_ls7e_ard_3-1-0_099074_2020-06-16_final
2020-07-02 09:42:35	ga_ls7e_ard_3-1-0_099074_2020-07-02_final
2020-07-18 09:41:37	ga_ls7e_ard_3-1-0_099074_2020-07-18_final
2020-08-19 09:39:37	ga_ls7e_ard_3-1-0_099074_2020-08-19_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