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
1999-11-25 11:29:01	ga_ls7e_ard_3-1-0_112084_1999-11-25_final
2000-06-15 09:31:53	ga_ls7e_ard_3-1-0_093087_2000-06-15_final
2001-12-19 10:16:31	ga_ls7e_ard_3-1-0_101083_2001-12-19_final
2002-01-17 11:25:03	ga_ls7e_ard_3-1-0_112084_2002-01-17_final
2003-01-18 09:56:36	ga_ls7e_ard_3-1-0_098080_2003-01-18_final
2004-03-06 09:29:13	ga_ls7e_ard_3-1-0_093087_2004-03-05_final
2004-07-24 09:49:16	ga_ls7e_ard_3-1-0_097076_2004-07-24_final
2005-02-12 09:30:12	ga_ls7e_ard_3-1-0_094073_2005-02-12_final
2005-11-07 09:57:33	ga_ls7e_ard_3-1-0_098080_2005-11-07_final
2006-02-15 11:13:57	ga_ls7e_ard_3-1-0_110084_2006-02-15_final
2006-02-21 10:34:54	ga_ls7e_ard_3-1-0_104079_2006-02-21_final
2006-05-21 10:25:07	ga_ls7e_ard_3-1-0_103070_2006-05-21_final
2006-12-30 11:26:28	ga_ls7e_ard_3-1-0_112084_2006-12-30_final
2008-08-19 10:44:43	ga_ls7e_ard_3-1-0_106075_2008-08-19_final
2009-01-31 11:06:17	ga_ls7e_ard_3-1-0_109081_2009-01-31_final
2009-05-26 09:58:35	ga_ls7e_ard_3-1-0_098080_2009-05-26_final
2009-05-30 11:09:33	ga_ls7e_ard_3-1-0_110072_2009-05-30_final
2010-04-12 09:05:08	ga_ls7e_ard_3-1-0_089081_2010-04-11_final
2010-06-14 10:00:16	ga_ls7e_ard_3-1-0_098080_2010-06-14_final
2010-08-30 11:08:47	ga_ls7e_ard_3-1-0_109081_2010-08-30_final
2010-12-15 10:48:36	ga_ls7e_ard_3-1-0_106075_2010-12-15_final
2011-06-30 11:10:02	ga_ls7e_ard_3-1-0_109081_2011-06-30_final
2012-04-01 09:10:13	ga_ls7e_ard_3-1-0_089089_2012-03-31_final
2012-04-13 09:34:05	ga_ls7e_ard_3-1-0_093087_2012-04-13_final
2012-07-15 10:36:00	ga_ls7e_ard_3-1-0_104070_2012-07-15_final
2013-03-20 11:32:21	ga_ls7e_ard_3-1-0_112084_2013-03-20_final
2014-02-09 10:52:27	ga_ls7e_ard_3-1-0_106075_2014-02-09_final
2014-09-05 10:53:14	ga_ls7e_ard_3-1-0_106075_2014-09-05_final
2016-02-15 10:57:27	ga_ls7e_ard_3-1-0_106075_2016-02-15_final
2017-03-15 11:38:26	ga_ls7e_ard_3-1-0_112084_2017-03-15_final
2017-08-29 11:43:27	ga_ls7e_ard_3-1-0_113080_2017-08-29_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2018-08-20 09:38:30	ga_ls7e_ard_3-1-0_093087_2018-08-20_final
2019-01-21 10:10:55	ga_ls7e_ard_3-1-0_099085_2019-01-21_final
2019-02-17 11:26:50	ga_ls7e_ard_3-1-0_112076_2019-02-17_final
2019-03-07 11:13:31	ga_ls7e_ard_3-1-0_110075_2019-03-07_final
2019-03-16 11:07:03	ga_ls7e_ard_3-1-0_109075_2019-03-16_final
2019-03-18 10:57:48	ga_ls7e_ard_3-1-0_107083_2019-03-18_final
2019-09-11 09:49:01	ga_ls7e_ard_3-1-0_098067_2019-09-11_final
2019-09-12 09:00:32	ga_ls7e_ard_3-1-0_089085_2019-09-11_final
2019-09-15 09:29:42	ga_ls7e_ard_3-1-0_094081_2019-09-14_final
2019-09-20 11:26:54	ga_ls7e_ard_3-1-0_113081_2019-09-20_final
2019-09-27 09:53:06	ga_ls7e_ard_3-1-0_098079_2019-09-27_final
2019-10-04 10:00:59	ga_ls7e_ard_3-1-0_099084_2019-10-04_final
2019-10-06 09:47:21	ga_ls7e_ard_3-1-0_097081_2019-10-06_final
2019-10-06 09:48:32	ga_ls7e_ard_3-1-0_097084_2019-10-06_final
2019-10-06 11:26:14	ga_ls7e_ard_3-1-0_113081_2019-10-06_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2019-10-21 09:01:51	ga_ls7e_ard_3-1-0_090077_2019-10-20_final
2019-10-22 11:26:45	ga_ls7e_ard_3-1-0_113084_2019-10-22_final
2019-11-05 09:59:13	ga_ls7e_ard_3-1-0_099083_2019-11-05_final
2019-11-06 10:42:25	ga_ls7e_ard_3-1-0_106083_2019-11-06_final
2019-11-11 10:57:57	ga_ls7e_ard_3-1-0_109076_2019-11-11_final
2019-11-14 11:30:42	ga_ls7e_ard_3-1-0_114081_2019-11-14_final
2019-11-16 11:16:15	ga_ls7e_ard_3-1-0_112076_2019-11-16_final
2019-11-23 09:44:49	ga_ls7e_ard_3-1-0_097080_2019-11-23_final
2019-11-23 11:24:06	ga_ls7e_ard_3-1-0_113081_2019-11-23_final
2019-12-07 09:55:42	ga_ls7e_ard_3-1-0_099078_2019-12-07_final
2019-12-08 10:37:19	ga_ls7e_ard_3-1-0_106074_2019-12-08_final
2019-12-20 11:01:02	ga_ls7e_ard_3-1-0_110073_2019-12-20_final
2019-12-29 10:53:11	ga_ls7e_ard_3-1-0_109070_2019-12-29_final
2019-12-29 10:55:11	ga_ls7e_ard_3-1-0_109075_2019-12-29_final
2020-01-03 11:16:39	ga_ls7e_ard_3-1-0_112083_2020-01-03_final
2020-01-04 10:16:59	ga_ls7e_ard_3-1-0_103073_2020-01-04_final
2020-01-14 09:19:28	ga_ls7e_ard_3-1-0_093085_2020-01-13_final
2020-01-14 10:53:58	ga_ls7e_ard_3-1-0_109074_2020-01-14_final
2020-01-15 09:59:05	ga_ls7e_ard_3-1-0_100076_2020-01-15_final
2020-01-17 09:47:02	ga_ls7e_ard_3-1-0_098077_2020-01-17_final
2020-01-19 11:13:51	ga_ls7e_ard_3-1-0_112078_2020-01-19_final
2020-01-20 10:14:36	ga_ls7e_ard_3-1-0_103069_2020-01-20_final
2020-01-22 10:06:31	ga_ls7e_ard_3-1-0_101080_2020-01-22_final
2020-01-24 09:55:40	ga_ls7e_ard_3-1-0_099084_2020-01-24_final
2020-02-02 09:49:02	ga_ls7e_ard_3-1-0_098084_2020-02-02_final
2020-02-06 09:20:07	ga_ls7e_ard_3-1-0_094074_2020-02-05_final
2020-02-06 11:00:12	ga_ls7e_ard_3-1-0_110077_2020-02-06_final
2020-02-09 09:52:03	ga_ls7e_ard_3-1-0_099077_2020-02-09_final
2020-02-09 09:53:39	ga_ls7e_ard_3-1-0_099081_2020-02-09_final
2020-02-15 09:17:52	ga_ls7e_ard_3-1-0_093085_2020-02-14_final
2020-02-16 09:57:29	ga_ls7e_ard_3-1-0_100076_2020-02-16_final
2020-02-20 11:13:49	ga_ls7e_ard_3-1-0_112082_2020-02-20_final
2020-02-21 10:14:33	ga_ls7e_ard_3-1-0_103073_2020-02-21_final
2020-02-23 10:04:05	ga_ls7e_ard_3-1-0_101078_2020-02-23_final
2020-02-23 10:06:05	ga_ls7e_ard_3-1-0_101083_2020-02-23_final
2020-03-03 09:54:38	ga_ls7e_ard_3-1-0_100071_2020-03-03_final
2020-03-03 09:59:25	ga_ls7e_ard_3-1-0_100083_2020-03-03_final
2020-03-04 10:39:50	ga_ls7e_ard_3-1-0_107076_2020-03-04_final
2020-03-18 09:16:08	ga_ls7e_ard_3-1-0_093085_2020-03-17_final
2020-03-25 10:55:14	ga_ls7e_ard_3-1-0_110071_2020-03-25_final
2020-03-25 10:56:25	ga_ls7e_ard_3-1-0_110074_2020-03-25_final
2020-03-28 09:51:52	ga_ls7e_ard_3-1-0_099083_2020-03-28_final
2020-03-29 08:56:11	ga_ls7e_ard_3-1-0_090083_2020-03-28_final
2020-03-31 10:18:36	ga_ls7e_ard_3-1-0_104073_2020-03-31_final
2020-04-09 10:15:30	ga_ls7e_ard_3-1-0_103082_2020-04-09_final
2020-04-19 10:47:13	ga_ls7e_ard_3-1-0_109070_2020-04-19_final
2020-04-26 10:54:11	ga_ls7e_ard_3-1-0_110073_2020-04-26_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_2022-03-24_final
2022-03-27 10:24:04	ga_ls7e_ard_3-2-1_114075_2022-03-27_final
2022-03-29 10:13:07	ga_ls7e_ard_3-2-1_112079_2022-03-29_final
2022-03-29 10:15:07	ga_ls7e_ard_3-2-1_112084_2022-03-29_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