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
2014-01-07 11:48:27	ga_ls7e_ard_3-1-0_115077_2014-01-07_final
2014-03-12 11:48:49	ga_ls7e_ard_3-0-0_115077_2014-03-12_final
2014-04-29 11:49:13	ga_ls7e_ard_3-1-0_115077_2014-04-29_final
2014-11-23 11:50:17	ga_ls7e_ard_3-1-0_115077_2014-11-23_final
2014-12-09 11:50:24	ga_ls7e_ard_3-1-0_115077_2014-12-09_final
2015-01-26 11:50:37	ga_ls7e_ard_3-1-0_115077_2015-01-26_final
2015-08-06 11:51:49	ga_ls7e_ard_3-1-0_115077_2015-08-06_final
2015-08-22 11:51:51	ga_ls7e_ard_3-1-0_115077_2015-08-22_final
2015-09-07 11:51:53	ga_ls7e_ard_3-1-0_115077_2015-09-07_final
2015-11-26 11:52:52	ga_ls7e_ard_3-0-0_115077_2015-11-26_final
2016-01-13 11:53:36	ga_ls7e_ard_3-1-0_115077_2016-01-13_final
2016-03-01 11:53:57	ga_ls7e_ard_3-1-0_115077_2016-03-01_final
2016-03-17 11:54:07	ga_ls7e_ard_3-1-0_115077_2016-03-17_final
2016-04-02 11:54:10	ga_ls7e_ard_3-1-0_115077_2016-04-02_final
2016-04-18 11:54:18	ga_ls7e_ard_3-1-0_115077_2016-04-18_final
2016-05-20 11:54:25	ga_ls7e_ard_3-1-0_115077_2016-05-20_final
2016-07-07 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-07-07_final
2016-08-08 11:54:37	ga_ls7e_ard_3-1-0_115077_2016-08-08_final
2016-08-24 11:54:40	ga_ls7e_ard_3-0-0_115077_2016-08-24_final
2016-09-09 11:54:42	ga_ls7e_ard_3-0-0_115077_2016-09-09_final
2016-09-25 11:54:45	ga_ls7e_ard_3-1-0_115077_2016-09-25_final
2016-10-11 11:54:45	ga_ls7e_ard_3-0-0_115077_2016-10-11_final
2016-11-12 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-11-12_final
2016-11-28 11:54:31	ga_ls7e_ard_3-1-0_115077_2016-11-28_final
2016-12-14 11:54:27	ga_ls7e_ard_3-1-0_115077_2016-12-14_final
2016-12-30 11:54:20	ga_ls7e_ard_3-1-0_115077_2016-12-30_final
2017-01-15 11:54:09	ga_ls7e_ard_3-0-0_115077_2017-01-15_final
2017-01-31 11:54:01	ga_ls7e_ard_3-1-0_115077_2017-01-31_final
2017-03-04 11:54:06	ga_ls7e_ard_3-1-0_115077_2017-03-04_final
2017-03-20 11:54:12	ga_ls7e_ard_3-1-0_115077_2017-03-20_final
2017-04-05 11:54:16	ga_ls7e_ard_3-0-0_115077_2017-04-05_final
2017-04-21 11:54:23	ga_ls7e_ard_3-1-0_115077_2017-04-21_final
2017-05-07 11:54:28	ga_ls7e_ard_3-0-0_115077_2017-05-07_final
2017-05-23 11:54:30	ga_ls7e_ard_3-0-0_115077_2017-05-23_final
2017-06-08 11:54:35	ga_ls7e_ard_3-1-0_115077_2017-06-08_final
2017-06-24 11:54:39	ga_ls7e_ard_3-1-0_115077_2017-06-24_final
2017-07-10 11:54:40	ga_ls7e_ard_3-1-0_115077_2017-07-10_final
2017-07-26 11:54:39	ga_ls7e_ard_3-1-0_115077_2017-07-26_final
2017-08-11 11:54:37	ga_ls7e_ard_3-0-0_115077_2017-08-11_final
2017-08-27 11:54:37	ga_ls7e_ard_3-1-0_115077_2017-08-27_final
2017-09-12 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-12_final
2017-09-28 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-28_final
2017-10-14 11:54:38	ga_ls7e_ard_3-1-0_115077_2017-10-14_final
2017-10-30 11:54:38	ga_ls7e_ard_3-1-0_115077_2017-10-30_final
2017-11-15 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-11-15_final
2017-12-01 11:54:30	ga_ls7e_ard_3-1-0_115077_2017-12-01_final
2017-12-17 11:54:21	ga_ls7e_ard_3-1-0_115077_2017-12-17_final
2018-01-02 11:54:09	ga_ls7e_ard_3-1-0_115077_2018-01-02_final
2018-01-18 11:53:56	ga_ls7e_ard_3-1-0_115077_2018-01-18_final
2018-02-03 11:53:40	ga_ls7e_ard_3-1-0_115077_2018-02-03_final
2018-02-19 11:53:29	ga_ls7e_ard_3-1-0_115077_2018-02-19_final
2018-03-07 11:53:18	ga_ls7e_ard_3-1-0_115077_2018-03-07_final
2018-03-23 11:53:06	ga_ls7e_ard_3-1-0_115077_2018-03-23_final
2018-04-08 11:52:52	ga_ls7e_ard_3-1-0_115077_2018-04-08_final
2018-04-24 11:52:35	ga_ls7e_ard_3-0-0_115077_2018-04-24_final
2018-05-10 11:52:18	ga_ls7e_ard_3-1-0_115077_2018-05-10_final
2018-05-26 11:52:03	ga_ls7e_ard_3-0-0_115077_2018-05-26_final
2018-06-11 11:51:47	ga_ls7e_ard_3-1-0_115077_2018-06-11_final
2018-08-30 11:50:16	ga_ls7e_ard_3-1-0_115077_2018-08-30_final
2018-09-15 11:49:56	ga_ls7e_ard_3-0-0_115077_2018-09-15_final
2018-10-01 11:49:33	ga_ls7e_ard_3-0-0_115077_2018-10-01_final
2018-10-17 11:49:09	ga_ls7e_ard_3-0-0_115077_2018-10-17_final
2018-11-02 11:48:49	ga_ls7e_ard_3-1-0_115077_2018-11-02_final
2018-12-04 11:48:02	ga_ls7e_ard_3-1-0_115077_2018-12-04_final
2018-12-20 11:47:35	ga_ls7e_ard_3-1-0_115077_2018-12-20_final
2019-02-06 11:46:06	ga_ls7e_ard_3-1-0_115077_2019-02-06_final
2019-02-22 11:45:37	ga_ls7e_ard_3-1-0_115077_2019-02-22_final
2019-03-10 11:45:07	ga_ls7e_ard_3-1-0_115077_2019-03-10_final
2019-03-26 11:44:35	ga_ls7e_ard_3-1-0_115077_2019-03-26_final
2019-04-27 11:43:27	ga_ls7e_ard_3-1-0_115077_2019-04-27_final
2019-05-29 11:42:14	ga_ls7e_ard_3-1-0_115077_2019-05-29_final
2019-06-14 11:41:39	ga_ls7e_ard_3-1-0_115077_2019-06-14_final
2019-06-30 11:41:04	ga_ls7e_ard_3-1-0_115077_2019-06-30_final
2019-08-17 11:39:08	ga_ls7e_ard_3-1-0_115077_2019-08-17_final
2019-09-02 11:38:27	ga_ls7e_ard_3-1-0_115077_2019-09-02_final
2019-12-23 11:33:22	ga_ls7e_ard_3-1-0_115077_2019-12-23_final
2020-02-09 11:30:56	ga_ls7e_ard_3-1-0_115077_2020-02-09_final
2020-02-25 11:30:06	ga_ls7e_ard_3-1-0_115077_2020-02-25_final
2020-04-13 11:27:26	ga_ls7e_ard_3-1-0_115077_2020-04-13_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-04-16 11:02:27	ga_ls7e_ard_3-2-0_115077_2021-04-16_final
2021-05-18 10:59:45	ga_ls7e_ard_3-2-0_115077_2021-05-18_final
2021-06-19 10:57:05	ga_ls7e_ard_3-2-0_115077_2021-06-19_final
2021-07-05 10:55:45	ga_ls7e_ard_3-2-0_115077_2021-07-05_final
2021-07-21 10:54:23	ga_ls7e_ard_3-2-0_115077_2021-07-21_final
2021-08-06 10:52:59	ga_ls7e_ard_3-2-0_115077_2021-08-06_final
2021-08-22 10:51:34	ga_ls7e_ard_3-2-0_115077_2021-08-22_final
2021-09-07 10:50:11	ga_ls7e_ard_3-2-0_115077_2021-09-07_final
2021-09-23 10:48:45	ga_ls7e_ard_3-2-0_115077_2021-09-23_final
2021-10-09 10:47:21	ga_ls7e_ard_3-2-0_115077_2021-10-09_final
2021-10-25 10:45:54	ga_ls7e_ard_3-2-0_115077_2021-10-25_final
2021-11-10 10:44:24	ga_ls7e_ard_3-2-0_115077_2021-11-10_final
2021-11-26 10:42:51	ga_ls7e_ard_3-2-1_115077_2021-11-26_final
2021-12-12 10:41:20	ga_ls7e_ard_3-2-1_115077_2021-12-12_final
2021-12-28 10:39:46	ga_ls7e_ard_3-2-1_115077_2021-12-28_final
2022-01-13 10:38:13	ga_ls7e_ard_3-2-1_115077_2022-01-13_final
2022-01-29 10:36:40	ga_ls7e_ard_3-2-1_115077_2022-01-29_final
2022-02-14 10:35:02	ga_ls7e_ard_3-2-1_115077_2022-02-14_final
2022-03-02 10:33:30	ga_ls7e_ard_3-2-1_115077_2022-03-02_final
2022-03-18 10:31:53	ga_ls7e_ard_3-2-1_115077_2022-03-18_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