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
2000-04-10 09:43:57	ga_ls7e_ard_3-0-0_095085_2000-04-10_final
2001-11-07 09:40:00	ga_ls7e_ard_3-0-0_095085_2001-11-07_final
2002-12-12 09:38:38	ga_ls7e_ard_3-0-0_095082_2002-12-12_final
2003-10-28 09:39:35	ga_ls7e_ard_3-0-0_095084_2003-10-28_final
2003-12-15 09:39:34	ga_ls7e_ard_3-0-0_095083_2003-12-15_final
2004-10-14 09:39:46	ga_ls7e_ard_3-0-0_095084_2004-10-14_final
2005-03-07 09:40:05	ga_ls7e_ard_3-0-0_095082_2005-03-07_final
2005-03-23 09:37:41	ga_ls7e_ard_3-0-0_095076_2005-03-23_final
2005-10-17 09:39:32	ga_ls7e_ard_3-0-0_095082_2005-10-17_final
2005-11-02 09:39:21	ga_ls7e_ard_3-0-0_095081_2005-11-02_final
2005-11-18 09:39:54	ga_ls7e_ard_3-0-0_095082_2005-11-18_final
2006-01-05 09:41:47	ga_ls7e_ard_3-0-0_095086_2006-01-05_final
2006-03-26 09:40:29	ga_ls7e_ard_3-0-0_095082_2006-03-26_final
2006-05-13 09:40:28	ga_ls7e_ard_3-0-0_095082_2006-05-13_final
2006-09-18 09:39:55	ga_ls7e_ard_3-0-0_095082_2006-09-18_final
2006-11-05 09:40:36	ga_ls7e_ard_3-0-0_095083_2006-11-05_final
2006-12-07 09:41:19	ga_ls7e_ard_3-0-0_095084_2006-12-07_final
2006-12-23 09:39:48	ga_ls7e_ard_3-0-0_095080_2006-12-23_final
2007-01-08 09:40:13	ga_ls7e_ard_3-0-0_095081_2007-01-08_final
2008-04-16 09:42:07	ga_ls7e_ard_3-0-0_095086_2008-04-16_final
2008-11-10 09:39:29	ga_ls7e_ard_3-0-0_095082_2008-11-10_final
2009-06-22 09:40:48	ga_ls7e_ard_3-0-0_095082_2009-06-22_final
2009-12-31 09:43:16	ga_ls7e_ard_3-0-0_095086_2009-12-31_final
2010-07-11 09:43:48	ga_ls7e_ard_3-0-0_095085_2010-07-11_final
2011-01-03 09:43:11	ga_ls7e_ard_3-0-0_095081_2011-01-03_final
2011-01-19 09:44:31	ga_ls7e_ard_3-0-0_095084_2011-01-19_final
2011-02-04 09:43:24	ga_ls7e_ard_3-0-0_095081_2011-02-04_final
2011-06-28 09:45:07	ga_ls7e_ard_3-0-0_095085_2011-06-28_final
2011-11-19 09:44:01	ga_ls7e_ard_3-0-0_095082_2011-11-19_final
2011-12-05 09:44:09	ga_ls7e_ard_3-0-0_095082_2011-12-05_final
2012-03-26 09:44:31	ga_ls7e_ard_3-0-0_095082_2012-03-26_final
2013-01-24 09:48:11	ga_ls7e_ard_3-0-0_095086_2013-01-24_final
2013-02-09 09:47:48	ga_ls7e_ard_3-0-0_095085_2013-02-09_final
2013-06-17 09:48:02	ga_ls7e_ard_3-0-0_095087_2013-06-17_final
2013-08-04 09:46:27	ga_ls7e_ard_3-0-0_095084_2013-08-04_final
2013-08-20 09:47:44	ga_ls7e_ard_3-0-0_095087_2013-08-20_final
2013-11-24 09:47:01	ga_ls7e_ard_3-0-0_095083_2013-11-24_final
2014-01-27 09:47:36	ga_ls7e_ard_3-0-0_095083_2014-01-27_final
2014-06-04 09:48:35	ga_ls7e_ard_3-0-0_095084_2014-06-04_final
2015-09-11 09:52:18	ga_ls7e_ard_3-0-0_095087_2015-09-11_final
2015-10-29 09:51:13	ga_ls7e_ard_3-0-0_095083_2015-10-29_final
2016-07-27 09:54:12	ga_ls7e_ard_3-0-0_095085_2016-07-27_final
2016-09-29 09:53:09	ga_ls7e_ard_3-0-0_095082_2016-09-29_final
2016-12-18 09:54:01	ga_ls7e_ard_3-0-0_095085_2016-12-18_final
2017-03-08 09:53:19	ga_ls7e_ard_3-0-0_095084_2017-03-08_final
2018-01-22 09:52:15	ga_ls7e_ard_3-0-0_095082_2018-01-22_final
2018-02-23 09:52:14	ga_ls7e_ard_3-0-0_095083_2018-02-23_final
2018-05-30 09:51:11	ga_ls7e_ard_3-0-0_095084_2018-05-30_final
2018-08-18 09:48:54	ga_ls7e_ard_3-0-0_095082_2018-08-18_final
2018-09-03 09:49:23	ga_ls7e_ard_3-0-0_095084_2018-09-03_final
2019-06-18 09:40:18	ga_ls7e_ard_3-0-0_095083_2019-06-18_final
2019-07-20 09:39:05	ga_ls7e_ard_3-0-0_095083_2019-07-20_final
2019-12-11 09:29:11	ga_ls7e_ard_3-1-0_095074_2019-12-10_final
2020-02-29 09:28:41	ga_ls7e_ard_3-1-0_095083_2020-02-28_final
2020-06-20 09:22:35	ga_ls7e_ard_3-1-0_095084_2020-06-19_final
2020-11-11 09:13:46	ga_ls7e_ard_3-1-0_095085_2020-11-10_final
2021-02-13 09:16:33	ga_ls7e_ard_3-2-0_097078_2021-02-12_final
2021-02-17 08:55:07	ga_ls7e_ard_3-2-0_093087_2021-02-16_final
2021-02-17 10:30:24	ga_ls7e_ard_3-2-0_109078_2021-02-17_final
2021-02-18 09:35:30	ga_ls7e_ard_3-2-0_100080_2021-02-18_final
2021-02-20 09:23:48	ga_ls7e_ard_3-2-0_098082_2021-02-19_final
2021-02-20 11:01:28	ga_ls7e_ard_3-2-0_114079_2021-02-20_final
2021-02-21 08:27:18	ga_ls7e_ard_3-2-0_089080_2021-02-20_final
2021-02-24 10:34:51	ga_ls7e_ard_3-2-0_110075_2021-02-24_final
2021-02-24 10:37:39	ga_ls7e_ard_3-2-0_110082_2021-02-24_final
2021-02-28 10:10:13	ga_ls7e_ard_3-2-0_106076_2021-02-28_final
2021-03-08 11:00:14	ga_ls7e_ard_3-2-0_114079_2021-03-08_final
2021-03-10 09:09:38	ga_ls7e_ard_3-2-0_096081_2021-03-09_final
2021-03-20 09:43:32	ga_ls7e_ard_3-2-0_102075_2021-03-20_final
2021-03-23 10:12:59	ga_ls7e_ard_3-2-0_107072_2021-03-23_final
2021-03-26 09:07:58	ga_ls7e_ard_3-2-0_096080_2021-03-25_final
2021-03-28 08:53:03	ga_ls7e_ard_3-2-0_094074_2021-03-27_final
2021-03-30 08:41:19	ga_ls7e_ard_3-2-0_092076_2021-03-29_final
2021-03-30 10:18:12	ga_ls7e_ard_3-2-0_108071_2021-03-30_final
2021-04-01 10:06:52	ga_ls7e_ard_3-2-0_106074_2021-04-01_final
2021-04-07 09:28:30	ga_ls7e_ard_3-2-0_100072_2021-04-06_final
2021-04-10 10:02:21	ga_ls7e_ard_3-2-0_105080_2021-04-10_final
2021-04-22 08:49:10	ga_ls7e_ard_3-2-0_093085_2021-04-21_final
2021-04-24 10:09:32	ga_ls7e_ard_3-2-0_107070_2021-04-24_final
2021-04-24 10:11:55	ga_ls7e_ard_3-2-0_107076_2021-04-24_final
2021-04-26 08:22:55	ga_ls7e_ard_3-2-0_089082_2021-04-25_final
2021-05-01 08:39:50	ga_ls7e_ard_3-2-0_092079_2021-04-30_final
2021-05-01 08:42:14	ga_ls7e_ard_3-2-0_092085_2021-04-30_final
2021-05-03 10:03:48	ga_ls7e_ard_3-2-0_106073_2021-05-03_final
2021-05-06 09:00:21	ga_ls7e_ard_3-2-0_095085_2021-05-05_final
2021-05-06 10:37:38	ga_ls7e_ard_3-2-0_111081_2021-05-06_final
2021-05-08 08:47:50	ga_ls7e_ard_3-2-0_093085_2021-05-07_final
2021-05-11 09:17:17	ga_ls7e_ard_3-2-0_098082_2021-05-10_final
2021-05-15 08:51:49	ga_ls7e_ard_3-2-0_094081_2021-05-14_final
2021-05-25 09:28:03	ga_ls7e_ard_3-2-0_100081_2021-05-24_final
2021-05-27 09:11:08	ga_ls7e_ard_3-2-0_098070_2021-05-26_final
2021-05-31 08:51:39	ga_ls7e_ard_3-2-0_094084_2021-05-30_final
2022-03-06 10:10:23	ga_ls7e_ard_3-2-1_111082_2022-03-06_final
2022-03-10 08:05:59	ga_ls7e_ard_3-2-1_091081_2022-03-09_final
2022-03-10 09:40:52	ga_ls7e_ard_3-2-1_107071_2022-03-10_final
2022-03-12 07:52:37	ga_ls7e_ard_3-2-1_089079_2022-03-11_final
2022-03-15 09:59:42	ga_ls7e_ard_3-2-1_110073_2022-03-15_final
2022-03-20 08:40:52	ga_ls7e_ard_3-2-1_097078_2022-03-19_final
2022-03-26 08:05:13	ga_ls7e_ard_3-2-1_091083_2022-03-25_final
2022-04-02 09:46:01	ga_ls7e_ard_3-2-1_108074_2022-04-02_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