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
2013-01-06 11:35:24	ga_ls7e_ard_3-0-0_113076_2013-01-06_final
2013-02-07 11:35:27	ga_ls7e_ard_3-0-0_113076_2013-02-07_final
2013-03-11 11:35:23	ga_ls7e_ard_3-0-0_113076_2013-03-11_final
2013-03-27 11:35:17	ga_ls7e_ard_3-0-0_113076_2013-03-27_final
2013-04-28 11:35:09	ga_ls7e_ard_3-0-0_113076_2013-04-28_final
2013-07-01 11:34:46	ga_ls7e_ard_3-0-0_113076_2013-07-01_final
2013-07-17 11:34:37	ga_ls7e_ard_3-0-0_113076_2013-07-17_final
2013-08-02 11:34:30	ga_ls7e_ard_3-0-0_113076_2013-08-02_final
2013-08-18 11:34:34	ga_ls7e_ard_3-0-0_113076_2013-08-18_final
2013-09-03 11:34:45	ga_ls7e_ard_3-0-0_113076_2013-09-03_final
2013-09-19 11:34:55	ga_ls7e_ard_3-0-0_113076_2013-09-19_final
2013-11-22 11:35:27	ga_ls7e_ard_3-0-0_113076_2013-11-22_final
2013-12-24 11:35:38	ga_ls7e_ard_3-0-0_113076_2013-12-24_final
2014-01-09 11:35:41	ga_ls7e_ard_3-0-0_113076_2014-01-09_final
2014-02-10 11:36:06	ga_ls7e_ard_3-0-0_113076_2014-02-10_final
2014-02-26 11:35:57	ga_ls7e_ard_3-0-0_113076_2014-02-26_final
2014-03-14 11:36:05	ga_ls7e_ard_3-0-0_113076_2014-03-14_final
2014-04-15 11:36:19	ga_ls7e_ard_3-0-0_113076_2014-04-15_final
2014-05-17 11:36:35	ga_ls7e_ard_3-0-0_113076_2014-05-17_final
2014-06-02 11:36:38	ga_ls7e_ard_3-0-0_113076_2014-06-02_final
2014-06-18 11:36:38	ga_ls7e_ard_3-0-0_113076_2014-06-18_final
2014-07-20 11:36:48	ga_ls7e_ard_3-0-0_113076_2014-07-20_final
2014-08-05 11:36:54	ga_ls7e_ard_3-0-0_113076_2014-08-05_final
2014-08-21 11:36:53	ga_ls7e_ard_3-0-0_113076_2014-08-21_final
2014-09-06 11:36:53	ga_ls7e_ard_3-0-0_113076_2014-09-06_final
2014-09-22 11:36:59	ga_ls7e_ard_3-0-0_113076_2014-09-22_final
2014-10-08 11:37:11	ga_ls7e_ard_3-0-0_113076_2014-10-08_final
2014-10-24 11:37:20	ga_ls7e_ard_3-0-0_113076_2014-10-24_final
2014-12-27 11:37:46	ga_ls7e_ard_3-0-0_113076_2014-12-27_final
2015-03-01 11:38:06	ga_ls7e_ard_3-0-0_113076_2015-03-01_final
2015-05-04 11:38:34	ga_ls7e_ard_3-0-0_113076_2015-05-04_final
2015-06-21 11:38:51	ga_ls7e_ard_3-0-0_113076_2015-06-21_final
2015-08-08 11:39:04	ga_ls7e_ard_3-0-0_113076_2015-08-08_final
2015-09-25 11:39:13	ga_ls7e_ard_3-0-0_113076_2015-09-25_final
2015-10-27 11:39:38	ga_ls7e_ard_3-0-0_113076_2015-10-27_final
2015-11-12 11:39:54	ga_ls7e_ard_3-0-0_113076_2015-11-12_final
2015-11-28 11:40:08	ga_ls7e_ard_3-0-0_113076_2015-11-28_final
2015-12-14 11:40:24	ga_ls7e_ard_3-0-0_113076_2015-12-14_final
2016-01-15 11:40:52	ga_ls7e_ard_3-0-0_113076_2016-01-15_final
2016-02-16 11:41:07	ga_ls7e_ard_3-0-0_113076_2016-02-16_final
2016-03-03 11:41:13	ga_ls7e_ard_3-0-0_113076_2016-03-03_final
2016-03-19 11:41:22	ga_ls7e_ard_3-0-0_113076_2016-03-19_final
2016-05-22 11:41:41	ga_ls7e_ard_3-0-0_113076_2016-05-22_final
2016-06-07 11:41:46	ga_ls7e_ard_3-0-0_113076_2016-06-07_final
2016-07-09 11:41:48	ga_ls7e_ard_3-0-0_113076_2016-07-09_final
2016-07-25 11:41:50	ga_ls7e_ard_3-0-0_113076_2016-07-25_final
2016-08-26 11:41:55	ga_ls7e_ard_3-0-0_113076_2016-08-26_final
2016-09-27 11:41:59	ga_ls7e_ard_3-0-0_113076_2016-09-27_final
2016-10-13 11:42:00	ga_ls7e_ard_3-0-0_113076_2016-10-13_final
2016-10-29 11:41:56	ga_ls7e_ard_3-0-0_113076_2016-10-29_final
2016-11-30 11:41:45	ga_ls7e_ard_3-0-0_113076_2016-11-30_final
2017-01-01 11:41:32	ga_ls7e_ard_3-0-0_113076_2017-01-01_final
2017-01-17 11:41:22	ga_ls7e_ard_3-0-0_113076_2017-01-17_final
2017-02-02 11:41:14	ga_ls7e_ard_3-0-0_113076_2017-02-02_final
2017-02-18 11:41:14	ga_ls7e_ard_3-0-0_113076_2017-02-18_final
2017-03-06 11:41:22	ga_ls7e_ard_3-0-0_113076_2017-03-06_final
2017-04-07 11:41:31	ga_ls7e_ard_3-0-0_113076_2017-04-07_final
2017-04-23 11:41:39	ga_ls7e_ard_3-0-0_113076_2017-04-23_final
2019-07-02 11:28:14	ga_ls7e_ard_3-0-0_113076_2019-07-02_final
2019-09-04 11:25:37	ga_ls7e_ard_3-1-0_113076_2019-09-04_final
2019-09-20 11:24:54	ga_ls7e_ard_3-1-0_113076_2019-09-20_final
2019-10-22 11:23:33	ga_ls7e_ard_3-1-0_113076_2019-10-22_final
2019-11-23 11:22:06	ga_ls7e_ard_3-1-0_113076_2019-11-23_final
2019-12-09 11:21:19	ga_ls7e_ard_3-1-0_113076_2019-12-09_final
2019-12-25 11:20:30	ga_ls7e_ard_3-1-0_113076_2019-12-25_final
2020-02-27 11:17:14	ga_ls7e_ard_3-1-0_113076_2020-02-27_final
2020-03-30 11:15:29	ga_ls7e_ard_3-1-0_113076_2020-03-30_final
2020-05-01 11:13:37	ga_ls7e_ard_3-1-0_113076_2020-05-01_final
2020-05-17 11:12:38	ga_ls7e_ard_3-1-0_113076_2020-05-17_final
2020-08-05 11:07:49	ga_ls7e_ard_3-1-0_113076_2020-08-05_final
2020-10-08 11:03:41	ga_ls7e_ard_3-1-0_113076_2020-10-08_final
2020-10-24 11:02:38	ga_ls7e_ard_3-1-0_113076_2020-10-24_final
2020-11-25 11:00:26	ga_ls7e_ard_3-1-0_113076_2020-11-25_final
2020-12-27 10:58:04	ga_ls7e_ard_3-1-0_113076_2020-12-27_final
2021-01-12 10:56:58	ga_ls7e_ard_3-1-0_113076_2021-01-12_final
2021-01-28 10:55:49	ga_ls7e_ard_3-2-0_113076_2021-01-28_final
2021-02-13 10:54:38	ga_ls7e_ard_3-2-0_113076_2021-02-13_final
2021-03-01 10:53:24	ga_ls7e_ard_3-2-0_113076_2021-03-01_final
2021-03-17 10:52:09	ga_ls7e_ard_3-2-0_113076_2021-03-17_final
2021-04-02 10:50:51	ga_ls7e_ard_3-2-0_113076_2021-04-02_final
2021-04-18 10:49:31	ga_ls7e_ard_3-2-0_113076_2021-04-18_final
2021-05-20 10:46:49	ga_ls7e_ard_3-2-0_113076_2021-05-20_final
2021-06-05 10:45:28	ga_ls7e_ard_3-2-0_113076_2021-06-05_final
2021-07-07 10:42:49	ga_ls7e_ard_3-2-0_113076_2021-07-07_final
2021-07-23 10:41:27	ga_ls7e_ard_3-2-0_113076_2021-07-23_final
2021-08-08 10:40:02	ga_ls7e_ard_3-2-0_113076_2021-08-08_final
2021-08-24 10:38:38	ga_ls7e_ard_3-2-0_113076_2021-08-24_final
2021-09-09 10:37:15	ga_ls7e_ard_3-2-0_113076_2021-09-09_final
2021-09-25 10:35:49	ga_ls7e_ard_3-2-0_113076_2021-09-25_final
2021-10-11 10:34:24	ga_ls7e_ard_3-2-0_113076_2021-10-11_final
2021-10-27 10:32:58	ga_ls7e_ard_3-2-0_113076_2021-10-27_final
2021-11-12 10:31:27	ga_ls7e_ard_3-2-1_113076_2021-11-12_final
2021-11-28 10:29:54	ga_ls7e_ard_3-2-1_113076_2021-11-28_final
2021-12-14 10:28:23	ga_ls7e_ard_3-2-1_113076_2021-12-14_final
2021-12-30 10:26:49	ga_ls7e_ard_3-2-1_113076_2021-12-30_final
2022-01-15 10:25:16	ga_ls7e_ard_3-2-1_113076_2022-01-15_final
2022-01-31 10:23:43	ga_ls7e_ard_3-2-1_113076_2022-01-31_final
2022-02-16 10:22:04	ga_ls7e_ard_3-2-1_113076_2022-02-16_final
2022-03-04 10:20:32	ga_ls7e_ard_3-2-1_113076_2022-03-04_final
2022-03-20 10:18:56	ga_ls7e_ard_3-2-1_113076_2022-03-20_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