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
1999-09-20 10:01:02	ga_ls7e_ard_3-1-0_098080_1999-09-20_final
2000-12-08 09:30:22	ga_ls7e_ard_3-1-0_093087_2000-12-08_final
2000-12-31 11:09:31	ga_ls7e_ard_3-1-0_110072_2000-12-31_final
2001-05-05 09:06:10	ga_ls7e_ard_3-1-0_089089_2001-05-04_final
2001-05-06 09:48:13	ga_ls7e_ard_3-1-0_096086_2001-05-06_final
2002-09-16 09:26:02	ga_ls7e_ard_3-1-0_094067_2002-09-15_final
2002-12-05 11:07:22	ga_ls7e_ard_3-1-0_110072_2002-12-05_final
2003-01-04 11:24:35	ga_ls7e_ard_3-1-0_112084_2003-01-04_final
2004-05-23 09:35:59	ga_ls7e_ard_3-1-0_095073_2004-05-23_final
2005-06-20 09:27:39	ga_ls7e_ard_3-1-0_094067_2005-06-19_final
2006-01-05 09:36:35	ga_ls7e_ard_3-1-0_095073_2006-01-05_final
2006-02-19 10:45:39	ga_ls7e_ard_3-1-0_106075_2006-02-19_final
2006-03-07 09:10:47	ga_ls7e_ard_3-1-0_090085_2006-03-06_final
2006-10-26 09:02:34	ga_ls7e_ard_3-1-0_089081_2006-10-25_final
2007-09-21 11:19:04	ga_ls7e_ard_3-1-0_111082_2007-09-21_final
2008-01-08 09:11:03	ga_ls7e_ard_3-1-0_090085_2008-01-07_final
2008-04-09 09:28:22	ga_ls7e_ard_3-1-0_094067_2008-04-08_final
2008-07-30 11:08:22	ga_ls7e_ard_3-1-0_110072_2008-07-30_final
2009-01-10 09:10:22	ga_ls7e_ard_3-1-0_090085_2009-01-09_final
2009-02-20 09:02:52	ga_ls7e_ard_3-1-0_089081_2009-02-19_final
2009-07-26 09:29:54	ga_ls7e_ard_3-1-0_093086_2009-07-25_final
2009-11-22 11:09:48	ga_ls7e_ard_3-1-0_110072_2009-11-22_final
2010-01-05 09:59:30	ga_ls7e_ard_3-1-0_098080_2010-01-05_final
2010-03-05 11:21:21	ga_ls7e_ard_3-1-0_111082_2010-03-05_final
2010-03-21 11:21:26	ga_ls7e_ard_3-1-0_111082_2010-03-21_final
2010-05-02 10:16:52	ga_ls7e_ard_3-1-0_101075_2010-05-02_final
2010-08-05 11:11:19	ga_ls7e_ard_3-1-0_110072_2010-08-05_final
2010-08-15 10:13:07	ga_ls7e_ard_3-1-0_100081_2010-08-15_final
2010-12-18 09:42:14	ga_ls7e_ard_3-1-0_095079_2010-12-18_final
2011-03-17 09:38:10	ga_ls7e_ard_3-1-0_094083_2011-03-17_final
2011-04-02 11:12:43	ga_ls7e_ard_3-1-0_110072_2011-04-02_final
2012-04-07 11:46:04	ga_ls7e_ard_3-1-0_115077_2012-04-07_final
2012-05-10 10:50:14	ga_ls7e_ard_3-1-0_106075_2012-05-10_final
2012-06-04 09:07:16	ga_ls7e_ard_3-1-0_089081_2012-06-03_final
2012-06-23 11:13:35	ga_ls7e_ard_3-1-0_110072_2012-06-23_final
2012-08-30 10:49:39	ga_ls7e_ard_3-1-0_106072_2012-08-30_final
2012-11-18 10:51:33	ga_ls7e_ard_3-1-0_106075_2012-11-18_final
2013-07-12 11:14:30	ga_ls7e_ard_3-1-0_110072_2013-07-12_final
2013-08-17 10:50:53	ga_ls7e_ard_3-1-0_106075_2013-08-17_final
2014-06-04 09:44:12	ga_ls7e_ard_3-1-0_095073_2014-06-04_final
2015-11-16 09:40:45	ga_ls7e_ard_3-1-0_093087_2015-11-16_final
2015-11-27 10:56:27	ga_ls7e_ard_3-1-0_106075_2015-11-27_final
2016-07-20 11:21:41	ga_ls7e_ard_3-1-0_110072_2016-07-20_final
2016-08-05 11:21:43	ga_ls7e_ard_3-1-0_110072_2016-08-05_final
2016-09-12 10:43:56	ga_ls7e_ard_3-1-0_104070_2016-09-12_final
2016-09-29 09:51:57	ga_ls7e_ard_3-1-0_095079_2016-09-29_final
2016-10-16 10:32:48	ga_ls7e_ard_3-1-0_102073_2016-10-16_final
2016-11-13 10:58:09	ga_ls7e_ard_3-1-0_106075_2016-11-13_final
2017-01-19 09:48:54	ga_ls7e_ard_3-1-0_095073_2017-01-19_final
2017-05-17 09:15:24	ga_ls7e_ard_3-1-0_089081_2017-05-16_final
2017-08-16 10:32:40	ga_ls7e_ard_3-1-0_102073_2017-08-16_final
2018-05-07 11:19:27	ga_ls7e_ard_3-1-0_110072_2018-05-07_final
2018-08-24 09:11:18	ga_ls7e_ard_3-1-0_089081_2018-08-23_final
2019-02-17 09:45:58	ga_ls7e_ard_3-1-0_096071_2019-02-17_final
2019-02-19 09:39:07	ga_ls7e_ard_3-1-0_094085_2019-02-19_final
2019-02-23 10:49:34	ga_ls7e_ard_3-1-0_106076_2019-02-23_final
2019-02-28 11:05:58	ga_ls7e_ard_3-1-0_109071_2019-02-28_final
2019-03-03 11:37:58	ga_ls7e_ard_3-1-0_114074_2019-03-03_final
2019-03-03 11:38:46	ga_ls7e_ard_3-1-0_114076_2019-03-03_final
2019-03-07 09:33:50	ga_ls7e_ard_3-1-0_094073_2019-03-07_final
2019-03-07 11:12:19	ga_ls7e_ard_3-1-0_110072_2019-03-07_final
2019-03-14 09:44:59	ga_ls7e_ard_3-1-0_095086_2019-03-14_final
2019-08-26 09:56:29	ga_ls7e_ard_3-1-0_098084_2019-08-26_final
2019-09-11 09:51:00	ga_ls7e_ard_3-1-0_098072_2019-09-11_final
2019-09-19 09:07:36	ga_ls7e_ard_3-1-0_090088_2019-09-18_final
2019-09-19 10:38:54	ga_ls7e_ard_3-1-0_106069_2019-09-19_final
2019-09-23 10:14:23	ga_ls7e_ard_3-1-0_102070_2019-09-23_final
2019-09-28 08:57:50	ga_ls7e_ard_3-1-0_089080_2019-09-27_final
2019-10-13 09:51:38	ga_ls7e_ard_3-1-0_098077_2019-10-13_final
2019-10-17 11:04:02	ga_ls7e_ard_3-1-0_110073_2019-10-17_final
2019-11-02 09:25:15	ga_ls7e_ard_3-1-0_094075_2019-11-01_final
2019-11-04 09:16:48	ga_ls7e_ard_3-1-0_092085_2019-11-03_final
2019-11-06 10:42:25	ga_ls7e_ard_3-1-0_106083_2019-11-06_final
2019-11-09 11:09:36	ga_ls7e_ard_3-1-0_111074_2019-11-09_final
2019-11-11 10:56:45	ga_ls7e_ard_3-1-0_109073_2019-11-11_final
2019-11-18 11:02:36	ga_ls7e_ard_3-1-0_110073_2019-11-18_final
2019-11-28 10:01:31	ga_ls7e_ard_3-1-0_100076_2019-11-28_final
2019-12-04 11:02:38	ga_ls7e_ard_3-1-0_110075_2019-12-04_final
2019-12-11 09:32:46	ga_ls7e_ard_3-1-0_095083_2019-12-11_final
2019-12-27 09:31:09	ga_ls7e_ard_3-1-0_095081_2019-12-27_final
2020-01-13 10:09:09	ga_ls7e_ard_3-1-0_102070_2020-01-13_final
2020-01-24 09:55:16	ga_ls7e_ard_3-1-0_099083_2020-01-24_final
2020-01-25 08:59:12	ga_ls7e_ard_3-1-0_090082_2020-01-24_final
2020-01-30 10:53:58	ga_ls7e_ard_3-1-0_109076_2020-01-30_final
2020-02-02 09:45:02	ga_ls7e_ard_3-1-0_098074_2020-02-02_final
2020-02-02 11:24:19	ga_ls7e_ard_3-1-0_114075_2020-02-02_final
2020-02-04 11:15:03	ga_ls7e_ard_3-1-0_112083_2020-02-04_final
2020-02-13 09:28:44	ga_ls7e_ard_3-1-0_095081_2020-02-12_final
2020-02-16 09:57:05	ga_ls7e_ard_3-1-0_100075_2020-02-16_final
2020-02-17 10:43:53	ga_ls7e_ard_3-1-0_107084_2020-02-17_final
2020-02-22 10:58:10	ga_ls7e_ard_3-1-0_110074_2020-02-22_final
2020-02-25 09:54:01	ga_ls7e_ard_3-1-0_099084_2020-02-25_final
2020-02-27 09:37:33	ga_ls7e_ard_3-1-0_097074_2020-02-27_final
2020-03-06 08:50:53	ga_ls7e_ard_3-1-0_089082_2020-03-05_final
2020-03-15 10:17:30	ga_ls7e_ard_3-1-0_104068_2020-03-15_final
2020-03-16 09:27:01	ga_ls7e_ard_3-1-0_095081_2020-03-15_final
2020-04-04 09:54:51	ga_ls7e_ard_3-1-0_100076_2020-04-04_final
2020-04-14 08:57:16	ga_ls7e_ard_3-1-0_090088_2020-04-13_final
2020-04-15 09:37:41	ga_ls7e_ard_3-1-0_097081_2020-04-15_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_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