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
1999-07-08 09:25:25	ga_ls7e_ard_3-1-0_092084_1999-07-07_final
2000-02-17 09:25:21	ga_ls7e_ard_3-0-0_092084_2000-02-16_final
2000-03-04 09:25:16	ga_ls7e_ard_3-0-0_092084_2000-03-03_final
2000-06-24 09:24:25	ga_ls7e_ard_3-0-0_092084_2000-06-23_final
2000-09-12 09:23:19	ga_ls7e_ard_3-0-0_092084_2000-09-11_final
2000-09-28 09:23:05	ga_ls7e_ard_3-0-0_092084_2000-09-27_final
2001-01-02 09:23:02	ga_ls7e_ard_3-0-0_092084_2001-01-01_final
2001-01-18 09:23:08	ga_ls7e_ard_3-0-0_092084_2001-01-17_final
2001-03-23 09:22:50	ga_ls7e_ard_3-0-0_092084_2001-03-22_final
2001-05-10 09:22:38	ga_ls7e_ard_3-0-0_092084_2001-05-09_final
2002-04-11 09:21:28	ga_ls7e_ard_3-0-0_092084_2002-04-10_final
2002-09-02 09:20:38	ga_ls7e_ard_3-0-0_092084_2002-09-01_final
2005-01-29 09:22:05	ga_ls7e_ard_3-0-0_092084_2005-01-28_final
2006-02-01 09:22:39	ga_ls7e_ard_3-0-0_092084_2006-01-31_final
2006-04-06 09:22:42	ga_ls7e_ard_3-0-0_092084_2006-04-05_final
2006-05-08 09:22:43	ga_ls7e_ard_3-0-0_092084_2006-05-07_final
2006-08-28 09:22:17	ga_ls7e_ard_3-0-0_092084_2006-08-27_final
2006-10-15 09:22:07	ga_ls7e_ard_3-0-0_092084_2006-10-14_final
2006-11-16 09:22:35	ga_ls7e_ard_3-0-0_092084_2006-11-15_final
2007-03-08 09:23:10	ga_ls7e_ard_3-0-0_092084_2007-03-07_final
2007-05-27 09:22:56	ga_ls7e_ard_3-0-0_092084_2007-05-26_final
2007-08-15 09:22:41	ga_ls7e_ard_3-0-0_092084_2007-08-14_final
2008-01-22 09:23:00	ga_ls7e_ard_3-0-0_092084_2008-01-21_final
2008-09-18 09:21:32	ga_ls7e_ard_3-0-0_092084_2008-09-17_final
2008-11-21 09:21:53	ga_ls7e_ard_3-0-0_092084_2008-11-20_final
2011-02-15 09:26:05	ga_ls7e_ard_3-0-0_092084_2011-02-14_final
2011-03-19 09:26:12	ga_ls7e_ard_3-0-0_092084_2011-03-18_final
2011-08-10 09:26:04	ga_ls7e_ard_3-0-0_092084_2011-08-09_final
2012-03-05 09:26:45	ga_ls7e_ard_3-0-0_092084_2012-03-04_final
2013-05-27 09:28:27	ga_ls7e_ard_3-0-0_092084_2013-05-26_final
2014-01-06 09:29:06	ga_ls7e_ard_3-0-0_092084_2014-01-05_final
2014-04-28 09:29:52	ga_ls7e_ard_3-1-0_092084_2014-04-27_final
2014-05-14 09:29:58	ga_ls7e_ard_3-1-0_092084_2014-05-13_final
2014-05-30 09:30:02	ga_ls7e_ard_3-1-0_092084_2014-05-30_final
2014-06-15 09:30:03	ga_ls7e_ard_3-1-0_092084_2014-06-15_final
2014-07-17 09:30:10	ga_ls7e_ard_3-1-0_092084_2014-07-17_final
2014-08-18 09:30:18	ga_ls7e_ard_3-0-0_092084_2014-08-18_final
2014-09-03 09:30:17	ga_ls7e_ard_3-0-0_092084_2014-09-03_final
2014-10-21 09:30:43	ga_ls7e_ard_3-0-0_092084_2014-10-21_final
2014-11-06 09:30:52	ga_ls7e_ard_3-0-0_092084_2014-11-06_final
2015-07-04 09:32:19	ga_ls7e_ard_3-0-0_092084_2015-07-04_final
2016-02-29 09:34:35	ga_ls7e_ard_3-0-0_092084_2016-02-29_final
2016-03-16 09:34:45	ga_ls7e_ard_3-0-0_092084_2016-03-16_final
2016-08-23 09:35:18	ga_ls7e_ard_3-0-0_092084_2016-08-23_final
2016-11-27 09:35:10	ga_ls7e_ard_3-0-0_092084_2016-11-27_final
2018-01-17 09:34:35	ga_ls7e_ard_3-0-0_092084_2018-01-17_final
2018-02-02 09:34:20	ga_ls7e_ard_3-0-0_092084_2018-02-02_final
2018-06-26 09:32:09	ga_ls7e_ard_3-0-0_092084_2018-06-26_final
2019-02-21 09:26:18	ga_ls7e_ard_3-1-0_092084_2019-02-20_final
2019-03-09 09:25:48	ga_ls7e_ard_3-1-0_092084_2019-03-08_final
2019-09-01 09:19:09	ga_ls7e_ard_3-1-0_092084_2019-08-31_final
2019-09-17 09:18:27	ga_ls7e_ard_3-1-0_092084_2019-09-16_final
2019-10-03 09:17:46	ga_ls7e_ard_3-1-0_092084_2019-10-02_final
2019-10-19 09:17:06	ga_ls7e_ard_3-1-0_092084_2019-10-18_final
2019-11-04 09:16:24	ga_ls7e_ard_3-1-0_092084_2019-11-03_final
2019-11-20 09:15:39	ga_ls7e_ard_3-1-0_092084_2019-11-19_final
2019-12-06 09:14:53	ga_ls7e_ard_3-1-0_092084_2019-12-05_final
2019-12-22 09:14:04	ga_ls7e_ard_3-1-0_092084_2019-12-21_final
2020-01-07 09:13:14	ga_ls7e_ard_3-1-0_092084_2020-01-06_final
2020-01-23 09:12:27	ga_ls7e_ard_3-1-0_092084_2020-01-22_final
2020-02-24 09:10:48	ga_ls7e_ard_3-1-0_092084_2020-02-23_final
2020-03-11 09:09:57	ga_ls7e_ard_3-1-0_092084_2020-03-10_final
2020-03-27 09:09:04	ga_ls7e_ard_3-1-0_092084_2020-03-26_final
2020-04-12 09:08:09	ga_ls7e_ard_3-1-0_092084_2020-04-11_final
2020-04-28 09:07:12	ga_ls7e_ard_3-1-0_092084_2020-04-27_final
2020-05-14 09:06:14	ga_ls7e_ard_3-1-0_092084_2020-05-13_final
2020-07-01 09:03:23	ga_ls7e_ard_3-1-0_092084_2020-06-30_final
2020-07-17 09:02:25	ga_ls7e_ard_3-1-0_092084_2020-07-16_final
2020-08-02 09:01:25	ga_ls7e_ard_3-1-0_092084_2020-08-01_final
2020-08-18 09:00:24	ga_ls7e_ard_3-1-0_092084_2020-08-17_final
2020-09-03 08:59:22	ga_ls7e_ard_3-1-0_092084_2020-09-02_final
2020-09-19 08:58:18	ga_ls7e_ard_3-1-0_092084_2020-09-18_final
2020-10-05 08:57:17	ga_ls7e_ard_3-1-0_092084_2020-10-04_final
2020-10-21 08:56:15	ga_ls7e_ard_3-1-0_092084_2020-10-20_final
2020-11-06 08:55:11	ga_ls7e_ard_3-1-0_092084_2020-11-05_final
2020-11-22 08:54:04	ga_ls7e_ard_3-1-0_092084_2020-11-21_final
2020-12-08 08:52:54	ga_ls7e_ard_3-1-0_092084_2020-12-07_final
2020-12-24 08:51:41	ga_ls7e_ard_3-1-0_092084_2020-12-23_final
2021-01-09 08:50:35	ga_ls7e_ard_3-1-0_092084_2021-01-08_final
2021-01-25 08:49:27	ga_ls7e_ard_3-2-0_092084_2021-01-24_final
2021-02-10 08:48:16	ga_ls7e_ard_3-2-0_092084_2021-02-09_final
2021-02-26 08:47:03	ga_ls7e_ard_3-2-0_092084_2021-02-25_final
2021-03-14 08:45:48	ga_ls7e_ard_3-2-0_092084_2021-03-13_final
2021-03-30 08:44:31	ga_ls7e_ard_3-2-0_092084_2021-03-29_final
2021-04-15 08:43:11	ga_ls7e_ard_3-2-0_092084_2021-04-14_final
2021-05-01 08:41:50	ga_ls7e_ard_3-2-0_092084_2021-04-30_final
2021-05-17 08:40:30	ga_ls7e_ard_3-2-0_092084_2021-05-16_final
2021-06-02 08:39:07	ga_ls7e_ard_3-2-0_092084_2021-06-01_final
2021-06-18 08:37:49	ga_ls7e_ard_3-2-0_092084_2021-06-17_final
2021-07-04 08:36:29	ga_ls7e_ard_3-2-0_092084_2021-07-03_final
2021-08-05 08:33:43	ga_ls7e_ard_3-2-0_092084_2021-08-04_final
2021-08-21 08:32:18	ga_ls7e_ard_3-2-0_092084_2021-08-20_final
2021-09-06 08:30:56	ga_ls7e_ard_3-2-0_092084_2021-09-05_final
2021-09-22 08:29:30	ga_ls7e_ard_3-2-0_092084_2021-09-21_final
2021-10-08 08:28:05	ga_ls7e_ard_3-2-0_092084_2021-10-07_final
2021-11-09 08:25:09	ga_ls7e_ard_3-2-0_092084_2021-11-08_final
2021-12-11 08:22:06	ga_ls7e_ard_3-2-1_092084_2021-12-10_final
2021-12-27 08:20:32	ga_ls7e_ard_3-2-1_092084_2021-12-26_final
2022-01-12 08:18:58	ga_ls7e_ard_3-2-1_092084_2022-01-11_final
2022-01-28 08:17:26	ga_ls7e_ard_3-2-1_092084_2022-01-27_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years