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
1999-12-20 09:42:08	ga_ls7e_ard_3-1-0_095079_1999-12-20_final
2000-04-10 09:43:10	ga_ls7e_ard_3-0-0_095083_2000-04-10_final
2000-12-06 09:39:06	ga_ls7e_ard_3-0-0_095078_2000-12-06_final
2001-07-02 09:38:33	ga_ls7e_ard_3-1-0_095079_2001-07-02_final
2001-09-04 09:38:12	ga_ls7e_ard_3-0-0_095080_2001-09-04_final
2001-11-07 09:38:00	ga_ls7e_ard_3-0-0_095080_2001-11-07_final
2002-09-23 09:37:46	ga_ls7e_ard_3-0-0_095081_2002-09-23_final
2006-09-18 09:38:43	ga_ls7e_ard_3-1-0_095079_2006-09-18_final
2007-01-24 09:41:04	ga_ls7e_ard_3-0-0_095083_2007-01-24_final
2008-01-11 09:39:09	ga_ls7e_ard_3-0-0_095078_2008-01-11_final
2009-09-10 09:39:22	ga_ls7e_ard_3-1-0_095079_2009-09-10_final
2009-09-10 09:41:45	ga_ls7e_ard_3-0-0_095085_2009-09-10_final
2009-09-26 09:40:32	ga_ls7e_ard_3-0-0_095082_2009-09-26_final
2010-02-17 09:41:08	ga_ls7e_ard_3-1-0_095079_2010-02-17_final
2010-04-06 09:41:24	ga_ls7e_ard_3-1-0_095079_2010-04-06_final
2010-07-11 09:43:00	ga_ls7e_ard_3-0-0_095083_2010-07-11_final
2010-09-13 09:42:17	ga_ls7e_ard_3-0-0_095081_2010-09-13_final
2010-12-02 09:42:07	ga_ls7e_ard_3-1-0_095079_2010-12-02_final
2011-04-25 09:44:24	ga_ls7e_ard_3-0-0_095083_2011-04-25_final
2012-01-22 09:44:00	ga_ls7e_ard_3-0-0_095081_2012-01-22_final
2012-08-01 09:43:44	ga_ls7e_ard_3-0-0_095078_2012-08-01_final
2012-08-01 09:44:56	ga_ls7e_ard_3-0-0_095081_2012-08-01_final
2012-10-04 09:44:49	ga_ls7e_ard_3-1-0_095079_2012-10-04_final
2012-11-05 09:45:26	ga_ls7e_ard_3-0-0_095080_2012-11-05_final
2013-02-09 09:46:12	ga_ls7e_ard_3-0-0_095081_2013-02-09_final
2013-03-13 09:46:56	ga_ls7e_ard_3-0-0_095083_2013-03-13_final
2013-06-01 09:44:32	ga_ls7e_ard_3-0-0_095078_2013-06-01_final
2013-10-07 09:47:06	ga_ls7e_ard_3-0-0_095084_2013-10-07_final
2014-07-06 09:47:07	ga_ls7e_ard_3-0-0_095080_2014-07-06_final
2015-02-15 09:49:52	ga_ls7e_ard_3-0-0_095084_2015-02-15_final
2016-03-05 09:51:36	ga_ls7e_ard_3-0-0_095080_2016-03-05_final
2016-03-21 09:52:07	ga_ls7e_ard_3-0-0_095081_2016-03-21_final
2016-04-06 09:51:22	ga_ls7e_ard_3-1-0_095079_2016-04-06_final
2016-11-16 09:53:20	ga_ls7e_ard_3-0-0_095083_2016-11-16_final
2017-04-09 09:52:17	ga_ls7e_ard_3-0-0_095081_2017-04-09_final
2017-12-21 09:53:30	ga_ls7e_ard_3-0-0_095084_2017-12-21_final
2018-02-23 09:51:02	ga_ls7e_ard_3-0-0_095080_2018-02-23_final
2019-06-02 09:38:53	ga_ls7e_ard_3-0-0_095078_2019-06-02_final
2020-02-29 09:27:05	ga_ls7e_ard_3-1-0_095079_2020-02-28_final
2020-09-08 09:16:23	ga_ls7e_ard_3-1-0_095081_2020-09-07_final
2020-11-27 09:12:15	ga_ls7e_ard_3-1-0_095084_2020-11-26_final
2021-02-07 09:54:28	ga_ls7e_ard_3-2-0_103079_2021-02-07_final
2021-02-13 10:57:49	ga_ls7e_ard_3-2-0_113084_2021-02-13_final
2021-03-09 10:04:56	ga_ls7e_ard_3-2-0_105080_2021-03-09_final
2021-03-18 09:55:39	ga_ls7e_ard_3-2-0_104074_2021-03-18_final
2021-03-27 09:48:45	ga_ls7e_ard_3-2-0_103074_2021-03-27_final
2021-04-01 10:09:40	ga_ls7e_ard_3-2-0_106081_2021-04-01_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
2021-04-24 10:13:07	ga_ls7e_ard_3-2-0_107079_2021-04-24_final
2021-05-17 08:38:06	ga_ls7e_ard_3-2-0_092078_2021-05-16_final
2021-05-25 09:25:39	ga_ls7e_ard_3-2-0_100075_2021-05-24_final
2021-05-29 08:59:48	ga_ls7e_ard_3-2-0_096073_2021-05-28_final
2021-06-07 08:53:40	ga_ls7e_ard_3-2-0_095075_2021-06-06_final
2021-06-09 10:21:37	ga_ls7e_ard_3-2-0_109079_2021-06-09_final
2021-06-15 09:43:15	ga_ls7e_ard_3-2-0_103077_2021-06-15_final
2021-06-22 09:50:03	ga_ls7e_ard_3-2-0_104080_2021-06-22_final
2021-06-23 08:53:33	ga_ls7e_ard_3-2-0_095078_2021-06-22_final
2021-06-29 09:54:27	ga_ls7e_ard_3-2-0_105077_2021-06-29_final
2021-06-30 10:37:38	ga_ls7e_ard_3-2-0_112077_2021-06-30_final
2021-07-01 09:41:32	ga_ls7e_ard_3-2-0_103076_2021-07-01_final
2021-07-17 09:41:22	ga_ls7e_ard_3-2-0_103079_2021-07-17_final
2021-07-18 08:44:52	ga_ls7e_ard_3-2-0_094077_2021-07-17_final
2021-07-18 10:24:32	ga_ls7e_ard_3-2-0_110079_2021-07-18_final
2021-07-20 08:34:43	ga_ls7e_ard_3-2-0_092083_2021-07-19_final
2021-07-24 09:45:21	ga_ls7e_ard_3-2-0_104075_2021-07-24_final
2021-07-31 09:49:19	ga_ls7e_ard_3-2-0_105071_2021-07-31_final
2021-08-03 10:21:57	ga_ls7e_ard_3-2-0_110076_2021-08-03_final
2021-08-06 09:13:18	ga_ls7e_ard_3-2-0_099075_2021-08-05_final
2021-08-10 08:48:37	ga_ls7e_ard_3-2-0_095076_2021-08-09_final
2021-08-10 10:28:42	ga_ls7e_ard_3-2-0_111079_2021-08-10_final
2021-08-26 10:27:18	ga_ls7e_ard_3-2-0_111079_2021-08-26_final
2021-09-18 08:53:23	ga_ls7e_ard_3-2-0_096081_2021-09-17_final
2021-09-18 10:31:28	ga_ls7e_ard_3-2-0_112079_2021-09-18_final
2021-10-03 09:44:28	ga_ls7e_ard_3-2-0_105073_2021-10-03_final
2021-10-12 09:39:06	ga_ls7e_ard_3-2-0_104077_2021-10-12_final
2021-10-15 10:11:20	ga_ls7e_ard_3-2-0_109081_2021-10-15_final
2021-10-21 09:31:43	ga_ls7e_ard_3-2-0_103076_2021-10-21_final
2021-10-21 09:32:31	ga_ls7e_ard_3-2-0_103078_2021-10-21_final
2021-10-27 10:32:58	ga_ls7e_ard_3-2-0_113076_2021-10-27_final
2021-11-14 08:40:25	ga_ls7e_ard_3-2-1_095077_2021-11-13_final
2021-11-26 09:02:46	ga_ls7e_ard_3-2-1_099074_2021-11-25_final
2021-12-07 08:45:36	ga_ls7e_ard_3-2-1_096080_2021-12-06_final
2021-12-07 08:46:00	ga_ls7e_ard_3-2-1_096081_2021-12-06_final
2022-01-01 08:36:34	ga_ls7e_ard_3-2-1_095079_2021-12-31_final
2022-01-05 09:51:07	ga_ls7e_ard_3-2-1_107081_2022-01-05_final
2022-01-06 08:55:24	ga_ls7e_ard_3-2-1_098081_2022-01-05_final
2022-01-15 08:46:47	ga_ls7e_ard_3-2-1_097077_2022-01-14_final
2022-01-19 10:01:46	ga_ls7e_ard_3-2-1_109080_2022-01-19_final
2022-02-04 08:20:55	ga_ls7e_ard_3-2-1_093079_2022-02-03_final
2022-02-10 09:22:05	ga_ls7e_ard_3-2-1_103079_2022-02-09_final
2022-02-11 08:27:34	ga_ls7e_ard_3-2-1_094082_2022-02-10_final
2022-02-12 09:10:19	ga_ls7e_ard_3-2-1_101081_2022-02-11_final
2022-02-18 08:31:02	ga_ls7e_ard_3-2-1_095077_2022-02-17_final
2022-02-20 08:18:53	ga_ls7e_ard_3-2-1_093078_2022-02-19_final
2022-02-26 09:20:31	ga_ls7e_ard_3-2-1_103079_2022-02-25_final
2022-03-05 09:23:37	ga_ls7e_ard_3-2-1_104073_2022-03-04_final
2022-03-12 09:30:42	ga_ls7e_ard_3-2-1_105077_2022-03-12_final
2022-03-19 09:36:10	ga_ls7e_ard_3-2-1_106077_2022-03-19_final
2022-03-25 08:56:56	ga_ls7e_ard_3-2-1_100073_2022-03-24_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