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
2012-10-15 09:28:46	ga_ls7e_ard_3-0-0_092085_2012-10-14_final
2012-10-31 09:28:53	ga_ls7e_ard_3-0-0_092085_2012-10-30_final
2012-11-16 09:29:00	ga_ls7e_ard_3-0-0_092085_2012-11-15_final
2012-12-02 09:29:02	ga_ls7e_ard_3-0-0_092085_2012-12-01_final
2012-12-18 09:29:09	ga_ls7e_ard_3-0-0_092085_2012-12-17_final
2013-01-03 09:29:13	ga_ls7e_ard_3-0-0_092085_2013-01-02_final
2013-01-19 09:29:13	ga_ls7e_ard_3-0-0_092085_2013-01-18_final
2013-02-04 09:29:16	ga_ls7e_ard_3-0-0_092085_2013-02-03_final
2013-02-20 09:29:14	ga_ls7e_ard_3-0-0_092085_2013-02-19_final
2013-03-08 09:29:12	ga_ls7e_ard_3-0-0_092085_2013-03-07_final
2013-03-24 09:29:07	ga_ls7e_ard_3-0-0_092085_2013-03-23_final
2013-04-09 09:29:05	ga_ls7e_ard_3-0-0_092085_2013-04-08_final
2013-05-11 09:28:55	ga_ls7e_ard_3-0-0_092085_2013-05-10_final
2013-05-27 09:28:51	ga_ls7e_ard_3-0-0_092085_2013-05-26_final
2013-07-30 09:28:18	ga_ls7e_ard_3-0-0_092085_2013-07-29_final
2013-08-15 09:28:20	ga_ls7e_ard_3-0-0_092085_2013-08-14_final
2013-08-31 09:28:31	ga_ls7e_ard_3-0-0_092085_2013-08-30_final
2013-10-18 09:29:05	ga_ls7e_ard_3-0-0_092085_2013-10-17_final
2013-12-21 09:29:24	ga_ls7e_ard_3-0-0_092085_2013-12-20_final
2014-01-06 09:29:29	ga_ls7e_ard_3-0-0_092085_2014-01-05_final
2014-01-22 09:29:46	ga_ls7e_ard_3-0-0_092085_2014-01-21_final
2014-02-07 09:29:56	ga_ls7e_ard_3-1-0_092085_2014-02-06_final
2014-04-12 09:30:05	ga_ls7e_ard_3-1-0_092085_2014-04-12_final
2014-05-14 09:30:22	ga_ls7e_ard_3-0-0_092085_2014-05-14_final
2014-07-01 09:30:33	ga_ls7e_ard_3-0-0_092085_2014-07-01_final
2014-07-17 09:30:34	ga_ls7e_ard_3-0-0_092085_2014-07-17_final
2014-08-02 09:30:42	ga_ls7e_ard_3-0-0_092085_2014-08-02_final
2014-08-18 09:30:42	ga_ls7e_ard_3-0-0_092085_2014-08-18_final
2014-09-03 09:30:41	ga_ls7e_ard_3-0-0_092085_2014-09-03_final
2014-09-19 09:30:45	ga_ls7e_ard_3-0-0_092085_2014-09-19_final
2014-10-05 09:30:58	ga_ls7e_ard_3-0-0_092085_2014-10-05_final
2014-10-21 09:31:07	ga_ls7e_ard_3-0-0_092085_2014-10-21_final
2014-11-06 09:31:16	ga_ls7e_ard_3-0-0_092085_2014-11-06_final
2014-11-22 09:31:19	ga_ls7e_ard_3-0-0_092085_2014-11-22_final
2014-12-08 09:31:26	ga_ls7e_ard_3-0-0_092085_2014-12-08_final
2015-01-25 09:31:39	ga_ls7e_ard_3-0-0_092085_2015-01-25_final
2015-02-10 09:31:44	ga_ls7e_ard_3-0-0_092085_2015-02-10_final
2015-03-14 09:31:59	ga_ls7e_ard_3-0-0_092085_2015-03-14_final
2015-05-01 09:32:21	ga_ls7e_ard_3-0-0_092085_2015-05-01_final
2015-05-17 09:32:30	ga_ls7e_ard_3-0-0_092085_2015-05-17_final
2015-07-04 09:32:43	ga_ls7e_ard_3-0-0_092085_2015-07-04_final
2015-07-20 09:32:48	ga_ls7e_ard_3-0-0_092085_2015-07-20_final
2015-08-21 09:32:54	ga_ls7e_ard_3-0-0_092085_2015-08-21_final
2015-09-22 09:33:00	ga_ls7e_ard_3-0-0_092085_2015-09-22_final
2015-10-08 09:33:06	ga_ls7e_ard_3-0-0_092085_2015-10-08_final
2015-10-24 09:33:24	ga_ls7e_ard_3-0-0_092085_2015-10-24_final
2015-11-25 09:33:54	ga_ls7e_ard_3-0-0_092085_2015-11-25_final
2015-12-11 09:34:09	ga_ls7e_ard_3-0-0_092085_2015-12-11_final
2015-12-27 09:34:22	ga_ls7e_ard_3-0-0_092085_2015-12-27_final
2016-01-12 09:34:38	ga_ls7e_ard_3-0-0_092085_2016-01-12_final
2016-01-28 09:34:49	ga_ls7e_ard_3-0-0_092085_2016-01-28_final
2016-02-13 09:34:55	ga_ls7e_ard_3-0-0_092085_2016-02-13_final
2016-02-29 09:34:59	ga_ls7e_ard_3-0-0_092085_2016-02-29_final
2016-03-16 09:35:09	ga_ls7e_ard_3-0-0_092085_2016-03-16_final
2016-04-01 09:35:13	ga_ls7e_ard_3-0-0_092085_2016-04-01_final
2016-04-17 09:35:20	ga_ls7e_ard_3-0-0_092085_2016-04-17_final
2016-05-03 09:35:26	ga_ls7e_ard_3-0-0_092085_2016-05-03_final
2016-05-19 09:35:28	ga_ls7e_ard_3-0-0_092085_2016-05-19_final
2016-06-20 09:35:37	ga_ls7e_ard_3-0-0_092085_2016-06-20_final
2016-07-06 09:35:37	ga_ls7e_ard_3-0-0_092085_2016-07-06_final
2016-08-07 09:35:40	ga_ls7e_ard_3-0-0_092085_2016-08-07_final
2016-08-23 09:35:42	ga_ls7e_ard_3-0-0_092085_2016-08-23_final
2016-09-08 09:35:45	ga_ls7e_ard_3-0-0_092085_2016-09-08_final
2016-09-24 09:35:47	ga_ls7e_ard_3-0-0_092085_2016-09-24_final
2016-10-26 09:35:45	ga_ls7e_ard_3-0-0_092085_2016-10-26_final
2016-11-11 09:35:38	ga_ls7e_ard_3-0-0_092085_2016-11-11_final
2016-12-13 09:35:30	ga_ls7e_ard_3-0-0_092085_2016-12-13_final
2017-01-14 09:35:13	ga_ls7e_ard_3-0-0_092085_2017-01-14_final
2017-01-30 09:35:04	ga_ls7e_ard_3-0-0_092085_2017-01-30_final
2017-02-15 09:35:00	ga_ls7e_ard_3-0-0_092085_2017-02-15_final
2017-03-19 09:35:15	ga_ls7e_ard_3-0-0_092085_2017-03-19_final
2017-04-04 09:35:18	ga_ls7e_ard_3-0-0_092085_2017-04-04_final
2017-05-06 09:35:31	ga_ls7e_ard_3-0-0_092085_2017-05-06_final
2017-05-22 09:35:33	ga_ls7e_ard_3-0-0_092085_2017-05-22_final
2020-12-08 08:53:18	ga_ls7e_ard_3-1-0_092085_2020-12-07_final
2020-12-24 08:52:05	ga_ls7e_ard_3-1-0_092085_2020-12-23_final
2021-01-09 08:50:59	ga_ls7e_ard_3-1-0_092085_2021-01-08_final
2021-01-25 08:49:51	ga_ls7e_ard_3-2-0_092085_2021-01-24_final
2021-02-10 08:48:40	ga_ls7e_ard_3-2-0_092085_2021-02-09_final
2021-02-26 08:47:27	ga_ls7e_ard_3-2-0_092085_2021-02-25_final
2021-03-14 08:46:12	ga_ls7e_ard_3-2-0_092085_2021-03-13_final
2021-03-30 08:44:55	ga_ls7e_ard_3-2-0_092085_2021-03-29_final
2021-04-15 08:43:35	ga_ls7e_ard_3-2-0_092085_2021-04-14_final
2021-05-01 08:42:14	ga_ls7e_ard_3-2-0_092085_2021-04-30_final
2021-05-17 08:40:53	ga_ls7e_ard_3-2-0_092085_2021-05-16_final
2021-06-02 08:39:31	ga_ls7e_ard_3-2-0_092085_2021-06-01_final
2021-06-18 08:38:13	ga_ls7e_ard_3-2-0_092085_2021-06-17_final
2021-07-04 08:36:53	ga_ls7e_ard_3-2-0_092085_2021-07-03_final
2021-08-05 08:34:07	ga_ls7e_ard_3-2-0_092085_2021-08-04_final
2021-08-21 08:32:42	ga_ls7e_ard_3-2-0_092085_2021-08-20_final
2021-09-06 08:31:19	ga_ls7e_ard_3-2-0_092085_2021-09-05_final
2021-09-22 08:29:54	ga_ls7e_ard_3-2-0_092085_2021-09-21_final
2021-10-08 08:28:29	ga_ls7e_ard_3-2-0_092085_2021-10-07_final
2021-10-24 08:27:03	ga_ls7e_ard_3-2-0_092085_2021-10-23_final
2021-11-09 08:25:33	ga_ls7e_ard_3-2-0_092085_2021-11-08_final
2021-12-11 08:22:30	ga_ls7e_ard_3-2-1_092085_2021-12-10_final
2021-12-27 08:20:56	ga_ls7e_ard_3-2-1_092085_2021-12-26_final
2022-01-12 08:19:22	ga_ls7e_ard_3-2-1_092085_2022-01-11_final
2022-01-28 08:17:50	ga_ls7e_ard_3-2-1_092085_2022-01-27_final
2022-03-01 08:14:39	ga_ls7e_ard_3-2-1_092085_2022-02-28_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