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
1999-12-04 09:39:15	ga_ls7e_ard_3-0-0_095072_1999-12-04_final
2000-02-27 11:39:39	ga_ls7e_ard_3-0-0_114080_2000-02-27_final
2002-03-15 09:39:16	ga_ls7e_ard_3-0-0_095082_2002-03-15_final
2002-06-03 09:39:00	ga_ls7e_ard_3-0-0_095082_2002-06-03_final
2002-08-27 11:34:36	ga_ls7e_ard_3-0-0_114079_2002-08-27_final
2002-12-08 11:40:39	ga_ls7e_ard_3-0-0_115078_2002-12-08_final
2004-07-10 09:40:11	ga_ls7e_ard_3-0-0_095084_2004-07-10_final
2004-10-10 11:41:18	ga_ls7e_ard_3-0-0_115079_2004-10-10_final
2004-10-30 09:36:02	ga_ls7e_ard_3-0-0_095074_2004-10-30_final
2004-12-13 11:39:59	ga_ls7e_ard_3-0-0_115074_2004-12-13_final
2004-12-22 11:36:17	ga_ls7e_ard_3-0-0_114080_2004-12-22_final
2005-03-07 09:39:41	ga_ls7e_ard_3-0-0_095081_2005-03-07_final
2005-08-30 09:36:25	ga_ls7e_ard_3-0-0_095074_2005-08-30_final
2006-01-21 09:40:19	ga_ls7e_ard_3-0-0_095082_2006-01-21_final
2006-02-11 11:36:16	ga_ls7e_ard_3-0-0_114078_2006-02-11_final
2006-02-22 09:37:41	ga_ls7e_ard_3-0-0_095075_2006-02-22_final
2006-04-07 11:42:51	ga_ls7e_ard_3-0-0_115079_2006-04-07_final
2006-06-30 09:40:18	ga_ls7e_ard_3-0-0_095082_2006-06-30_final
2006-09-07 11:35:48	ga_ls7e_ard_3-0-0_114078_2006-09-07_final
2006-11-17 11:41:33	ga_ls7e_ard_3-0-0_115076_2006-11-17_final
2006-12-28 11:37:14	ga_ls7e_ard_3-0-0_114080_2006-12-28_final
2007-03-25 11:42:56	ga_ls7e_ard_3-0-0_115078_2007-03-25_final
2007-12-26 09:42:44	ga_ls7e_ard_3-0-0_095087_2007-12-26_final
2008-03-31 09:36:33	ga_ls7e_ard_3-0-0_095072_2008-03-31_final
2008-07-21 09:36:31	ga_ls7e_ard_3-0-0_095074_2008-07-21_final
2009-05-10 11:37:27	ga_ls7e_ard_3-0-0_114080_2009-05-10_final
2009-07-08 09:37:33	ga_ls7e_ard_3-0-0_095074_2009-07-08_final
2009-07-23 08:57:25	ga_ls7e_ard_3-0-0_088082_2009-07-22_final
2009-08-25 09:40:34	ga_ls7e_ard_3-0-0_095082_2009-08-25_final
2010-12-30 11:44:45	ga_ls7e_ard_3-0-0_115076_2010-12-30_final
2011-05-11 09:44:23	ga_ls7e_ard_3-0-0_095083_2011-05-11_final
2011-11-24 11:40:42	ga_ls7e_ard_3-0-0_114080_2011-11-24_final
2012-03-25 09:01:16	ga_ls7e_ard_3-0-0_088082_2012-03-24_final
2012-05-25 11:45:47	ga_ls7e_ard_3-0-0_115075_2012-05-25_final
2012-12-06 09:02:43	ga_ls7e_ard_3-0-0_088081_2012-12-05_final
2012-12-12 11:42:41	ga_ls7e_ard_3-0-0_114079_2012-12-12_final
2013-01-24 09:46:35	ga_ls7e_ard_3-0-0_095082_2013-01-24_final
2013-01-29 11:43:14	ga_ls7e_ard_3-0-0_114080_2013-01-29_final
2013-03-02 11:43:10	ga_ls7e_ard_3-0-0_114080_2013-03-02_final
2014-08-19 11:48:27	ga_ls7e_ard_3-0-0_115074_2014-08-19_final
2014-11-27 09:48:43	ga_ls7e_ard_3-0-0_095082_2014-11-27_final
2014-12-25 11:49:20	ga_ls7e_ard_3-0-0_115074_2014-12-25_final
2015-02-04 11:45:43	ga_ls7e_ard_3-0-0_114080_2015-02-04_final
2015-06-07 09:49:58	ga_ls7e_ard_3-0-0_095082_2015-06-07_final
2015-08-26 09:46:39	ga_ls7e_ard_3-1-0_095073_2015-08-26_final
2015-09-27 09:50:22	ga_ls7e_ard_3-0-0_095082_2015-09-27_final
2015-11-26 11:52:28	ga_ls7e_ard_3-0-0_115076_2015-11-26_final
2015-12-28 11:52:32	ga_ls7e_ard_3-0-0_115075_2015-12-28_final
2016-05-24 09:54:02	ga_ls7e_ard_3-0-0_095085_2016-05-24_final
2016-08-28 09:49:05	ga_ls7e_ard_3-0-0_095072_2016-08-28_final
2017-10-18 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-10-18_final
2017-11-03 09:52:38	ga_ls7e_ard_3-0-0_095081_2017-11-03_final
2018-06-15 09:50:30	ga_ls7e_ard_3-0-0_095083_2018-06-15_final
2018-09-03 09:48:35	ga_ls7e_ard_3-0-0_095082_2018-09-03_final
2018-10-17 11:49:09	ga_ls7e_ard_3-0-0_115077_2018-10-17_final
2019-01-25 09:45:40	ga_ls7e_ard_3-0-0_095084_2019-01-25_final
2019-03-14 09:44:59	ga_ls7e_ard_3-1-0_095086_2019-03-14_final
2019-09-22 09:36:46	ga_ls7e_ard_3-1-0_095084_2019-09-22_final
2019-11-25 09:27:10	ga_ls7e_ard_3-1-0_095067_2019-11-24_final
2019-12-23 11:34:10	ga_ls7e_ard_3-1-0_115079_2019-12-23_final
2020-01-28 09:31:56	ga_ls7e_ard_3-1-0_095087_2020-01-28_final
2020-04-29 11:25:42	ga_ls7e_ard_3-1-0_115075_2020-04-29_final
2020-05-08 11:19:46	ga_ls7e_ard_3-1-0_114077_2020-05-08_final
2020-06-04 09:18:43	ga_ls7e_ard_3-1-0_095072_2020-06-03_final
2021-02-16 09:44:02	ga_ls7e_ard_3-2-0_102070_2021-02-16_final
2021-03-12 10:32:25	ga_ls7e_ard_3-2-0_110072_2021-03-12_final
2021-03-23 10:14:35	ga_ls7e_ard_3-2-0_107076_2021-03-23_final
2021-03-28 08:58:14	ga_ls7e_ard_3-2-0_094087_2021-03-27_final
2021-04-04 09:01:50	ga_ls7e_ard_3-2-0_095082_2021-04-03_final
2021-05-01 08:39:02	ga_ls7e_ard_3-2-0_092077_2021-04-30_final
2021-05-19 08:29:58	ga_ls7e_ard_3-2-0_090089_2021-05-18_final
2021-05-23 09:36:12	ga_ls7e_ard_3-2-0_102070_2021-05-23_final
2021-05-26 10:07:14	ga_ls7e_ard_3-2-0_107071_2021-05-26_final
2021-06-20 08:27:18	ga_ls7e_ard_3-2-0_090089_2021-06-19_final
2021-06-20 09:58:11	ga_ls7e_ard_3-2-0_106069_2021-06-20_final
2021-06-20 09:58:59	ga_ls7e_ard_3-2-0_106071_2021-06-20_final
2021-07-06 09:58:27	ga_ls7e_ard_3-2-0_106073_2021-07-06_final
2021-07-06 10:02:02	ga_ls7e_ard_3-2-0_106082_2021-07-06_final
2021-08-29 09:20:16	ga_ls7e_ard_3-2-0_100082_2021-08-28_final
2021-08-30 08:24:33	ga_ls7e_ard_3-2-0_091082_2021-08-29_final
2021-09-16 09:01:08	ga_ls7e_ard_3-2-0_098069_2021-09-15_final
2021-09-22 10:05:11	ga_ls7e_ard_3-2-0_108076_2021-09-22_final
2021-10-01 08:21:19	ga_ls7e_ard_3-2-0_091081_2021-09-30_final
2021-10-01 08:22:07	ga_ls7e_ard_3-2-0_091083_2021-09-30_final
2021-10-02 10:42:34	ga_ls7e_ard_3-2-0_114079_2021-10-02_final
2021-11-03 10:38:05	ga_ls7e_ard_3-2-0_114075_2021-11-03_final
2021-11-11 09:48:17	ga_ls7e_ard_3-2-0_106076_2021-11-11_final
2021-12-02 08:27:08	ga_ls7e_ard_3-2-1_093079_2021-12-01_final
2021-12-20 08:13:27	ga_ls7e_ard_3-2-1_091080_2021-12-19_final
2021-12-20 08:16:15	ga_ls7e_ard_3-2-1_091087_2021-12-19_final
2022-01-04 09:05:34	ga_ls7e_ard_3-2-1_100075_2022-01-03_final
2022-01-21 09:47:37	ga_ls7e_ard_3-2-1_107076_2022-01-21_final
2022-01-27 09:10:21	ga_ls7e_ard_3-2-1_101077_2022-01-26_final
2022-01-30 09:41:21	ga_ls7e_ard_3-2-1_106078_2022-01-30_final
2022-02-04 08:23:18	ga_ls7e_ard_3-2-1_093085_2022-02-03_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-15 09:36:31	ga_ls7e_ard_3-2-1_106070_2022-02-15_final
2022-02-27 08:22:25	ga_ls7e_ard_3-2-1_094073_2022-02-26_final
2022-03-06 10:10:23	ga_ls7e_ard_3-2-1_111082_2022-03-06_final
2022-03-20 10:20:32	ga_ls7e_ard_3-2-1_113080_2022-03-20_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