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
1999-07-29 09:44:52	ga_ls7e_ard_3-0-0_095086_1999-07-29_final
1999-12-04 09:40:02	ga_ls7e_ard_3-0-0_095074_1999-12-04_final
1999-12-04 09:40:26	ga_ls7e_ard_3-0-0_095075_1999-12-04_final
2000-01-05 09:41:14	ga_ls7e_ard_3-0-0_095077_2000-01-05_final
2000-04-06 11:44:02	ga_ls7e_ard_3-0-0_115076_2000-04-06_final
2000-06-25 11:43:20	ga_ls7e_ard_3-0-0_115076_2000-06-25_final
2000-08-15 08:58:13	ga_ls7e_ard_3-0-0_088082_2000-08-14_final
2000-09-01 09:37:16	ga_ls7e_ard_3-0-0_095072_2000-09-01_final
2000-10-03 09:37:38	ga_ls7e_ard_3-0-0_095074_2000-10-03_final
2001-03-28 09:41:45	ga_ls7e_ard_3-0-0_095085_2001-03-28_final
2001-11-07 09:36:00	ga_ls7e_ard_3-0-0_095075_2001-11-07_final
2002-01-10 09:39:57	ga_ls7e_ard_3-0-0_095084_2002-01-10_final
2002-03-31 09:35:35	ga_ls7e_ard_3-1-0_095073_2002-03-31_final
2003-01-13 09:36:00	ga_ls7e_ard_3-0-0_095075_2003-01-13_final
2003-02-14 09:35:53	ga_ls7e_ard_3-0-0_095074_2003-02-14_final
2003-03-14 11:41:32	ga_ls7e_ard_3-0-0_115079_2003-03-14_final
2003-04-03 09:35:32	ga_ls7e_ard_3-1-0_095073_2003-04-03_final
2003-08-09 09:35:12	ga_ls7e_ard_3-1-0_095073_2003-08-09_final
2003-10-28 09:35:36	ga_ls7e_ard_3-0-0_095074_2003-10-28_final
2003-12-11 11:41:33	ga_ls7e_ard_3-0-0_115079_2003-12-11_final
2004-04-05 09:41:14	ga_ls7e_ard_3-0-0_095086_2004-04-05_final
2005-04-20 11:42:19	ga_ls7e_ard_3-0-0_115079_2005-04-20_final
2008-01-27 09:38:20	ga_ls7e_ard_3-0-0_095076_2008-01-27_final
2008-03-31 09:36:33	ga_ls7e_ard_3-0-0_095072_2008-03-31_final
2008-10-25 09:40:02	ga_ls7e_ard_3-0-0_095084_2008-10-25_final
2009-03-18 09:37:23	ga_ls7e_ard_3-0-0_095074_2009-03-18_final
2009-05-01 11:43:12	ga_ls7e_ard_3-0-0_115079_2009-05-01_final
2009-08-05 11:43:01	ga_ls7e_ard_3-0-0_115079_2009-08-05_final
2009-09-25 08:57:16	ga_ls7e_ard_3-0-0_088082_2009-09-24_final
2010-04-22 09:41:48	ga_ls7e_ard_3-0-0_095080_2010-04-22_final
2010-12-18 09:41:02	ga_ls7e_ard_3-0-0_095076_2010-12-18_final
2011-01-15 11:46:06	ga_ls7e_ard_3-0-0_115079_2011-01-15_final
2011-02-20 09:40:40	ga_ls7e_ard_3-0-0_095074_2011-02-20_final
2011-12-05 09:43:21	ga_ls7e_ard_3-0-0_095080_2011-12-05_final
2012-03-22 11:46:08	ga_ls7e_ard_3-0-0_115077_2012-03-22_final
2012-05-13 09:45:54	ga_ls7e_ard_3-0-0_095084_2012-05-13_final
2012-07-12 11:46:45	ga_ls7e_ard_3-1-0_115077_2012-07-12_final
2012-08-13 11:47:31	ga_ls7e_ard_3-0-0_115078_2012-08-13_final
2013-01-08 09:42:34	ga_ls7e_ard_3-0-0_095072_2013-01-08_final
2013-01-23 09:02:55	ga_ls7e_ard_3-0-0_088081_2013-01-22_final
2013-04-10 11:47:14	ga_ls7e_ard_3-0-0_115075_2013-04-10_final
2013-04-14 09:47:36	ga_ls7e_ard_3-0-0_095085_2013-04-14_final
2014-01-07 11:48:03	ga_ls7e_ard_3-0-0_115076_2014-01-07_final
2014-06-20 09:49:00	ga_ls7e_ard_3-0-0_095085_2014-06-20_final
2015-04-16 11:52:01	ga_ls7e_ard_3-0-0_115079_2015-04-16_final
2016-02-02 09:49:25	ga_ls7e_ard_3-0-0_095075_2016-02-02_final
2016-11-16 09:48:56	ga_ls7e_ard_3-0-0_095072_2016-11-16_final
2017-01-03 09:54:16	ga_ls7e_ard_3-0-0_095086_2017-01-03_final
2017-12-21 09:49:06	ga_ls7e_ard_3-1-0_095073_2017-12-21_final
2018-08-18 09:45:19	ga_ls7e_ard_3-1-0_095073_2018-08-18_final
2019-03-10 11:45:55	ga_ls7e_ard_3-1-0_115079_2019-03-10_final
2019-08-01 11:38:36	ga_ls7e_ard_3-0-0_115074_2019-08-01_final
2019-10-24 09:36:13	ga_ls7e_ard_3-1-0_095086_2019-10-24_final
2020-02-29 09:24:41	ga_ls7e_ard_3-1-0_095073_2020-02-28_final
2021-02-21 08:29:18	ga_ls7e_ard_3-2-0_089085_2021-02-20_final
2021-02-28 08:33:20	ga_ls7e_ard_3-2-0_090081_2021-02-27_final
2021-03-07 08:37:23	ga_ls7e_ard_3-2-0_091077_2021-03-06_final
2021-04-11 10:43:08	ga_ls7e_ard_3-2-0_112074_2021-04-11_final
2021-05-03 08:26:55	ga_ls7e_ard_3-2-0_090078_2021-05-02_final
2021-05-03 10:01:48	ga_ls7e_ard_3-2-0_106068_2021-05-03_final
2021-05-03 10:07:23	ga_ls7e_ard_3-2-0_106082_2021-05-03_final
2021-05-21 09:47:56	ga_ls7e_ard_3-2-0_104068_2021-05-21_final
2021-05-24 10:24:33	ga_ls7e_ard_3-2-0_109083_2021-05-24_final
2021-06-03 09:19:30	ga_ls7e_ard_3-2-0_099077_2021-06-02_final
2021-06-03 09:21:54	ga_ls7e_ard_3-2-0_099083_2021-06-02_final
2021-06-04 10:04:41	ga_ls7e_ard_3-2-0_106082_2021-06-04_final
2021-06-30 09:00:21	ga_ls7e_ard_3-2-0_096081_2021-06-29_final
2021-07-05 10:55:21	ga_ls7e_ard_3-2-0_115076_2021-07-05_final
2021-07-14 10:47:36	ga_ls7e_ard_3-2-0_114074_2021-07-14_final
2021-07-31 09:53:42	ga_ls7e_ard_3-2-0_105082_2021-07-31_final
2021-08-05 10:09:00	ga_ls7e_ard_3-2-0_108075_2021-08-05_final
2021-08-12 10:18:09	ga_ls7e_ard_3-2-0_109084_2021-08-12_final
2021-08-14 10:00:02	ga_ls7e_ard_3-2-0_107070_2021-08-14_final
2021-08-18 09:34:09	ga_ls7e_ard_3-2-0_103068_2021-08-18_final
2021-08-19 10:16:56	ga_ls7e_ard_3-2-0_110067_2021-08-19_final
2021-09-01 08:10:50	ga_ls7e_ard_3-2-0_089079_2021-08-31_final
2021-09-14 09:15:40	ga_ls7e_ard_3-2-0_100074_2021-09-13_final
2021-09-18 10:29:28	ga_ls7e_ard_3-2-0_112074_2021-09-18_final
2021-10-14 09:22:58	ga_ls7e_ard_3-2-0_102068_2021-10-13_final
2021-10-19 08:06:34	ga_ls7e_ard_3-2-0_089079_2021-10-18_final
2021-10-19 09:42:15	ga_ls7e_ard_3-2-0_105071_2021-10-19_final
2021-10-20 10:26:37	ga_ls7e_ard_3-2-0_112074_2021-10-20_final
2021-10-27 08:52:29	ga_ls7e_ard_3-2-0_097072_2021-10-26_final
2021-10-29 10:16:50	ga_ls7e_ard_3-2-0_111067_2021-10-29_final
2021-11-23 10:11:25	ga_ls7e_ard_3-2-1_110075_2021-11-23_final
2021-11-26 10:43:14	ga_ls7e_ard_3-2-1_115078_2021-11-26_final
2021-11-30 08:41:40	ga_ls7e_ard_3-2-1_095084_2021-11-29_final
2021-12-11 08:21:42	ga_ls7e_ard_3-2-1_092083_2021-12-10_final
2021-12-18 08:24:48	ga_ls7e_ard_3-2-1_093077_2021-12-17_final
2021-12-29 08:09:58	ga_ls7e_ard_3-2-1_090089_2021-12-28_final
2022-01-08 10:22:56	ga_ls7e_ard_3-2-1_112084_2022-01-08_final
2022-01-12 08:16:10	ga_ls7e_ard_3-2-1_092077_2022-01-11_final
2022-01-12 09:57:03	ga_ls7e_ard_3-2-1_108082_2022-01-12_final
2022-01-19 09:59:22	ga_ls7e_ard_3-2-1_109074_2022-01-19_final
2022-01-19 09:59:46	ga_ls7e_ard_3-2-1_109075_2022-01-19_final
2022-02-01 09:26:24	ga_ls7e_ard_3-2-1_104072_2022-01-31_final
2022-02-04 08:19:43	ga_ls7e_ard_3-2-1_093076_2022-02-03_final
2022-02-20 09:59:22	ga_ls7e_ard_3-2-1_109082_2022-02-20_final
2022-02-22 08:05:57	ga_ls7e_ard_3-2-1_091077_2022-02-21_final
2022-02-23 08:47:07	ga_ls7e_ard_3-2-1_098072_2022-02-22_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