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 09:43:10	ga_ls7e_ard_3-0-0_095083_2000-04-10_final
2001-04-29 09:40:05	ga_ls7e_ard_3-0-0_095081_2001-04-29_final
2001-05-15 09:39:52	ga_ls7e_ard_3-0-0_095081_2001-05-15_final
2002-02-27 09:40:33	ga_ls7e_ard_3-0-0_095085_2002-02-27_final
2002-03-15 09:40:04	ga_ls7e_ard_3-0-0_095084_2002-03-15_final
2002-04-16 09:36:46	ga_ls7e_ard_3-0-0_095076_2002-04-16_final
2003-05-05 09:38:45	ga_ls7e_ard_3-0-0_095081_2003-05-05_final
2004-08-11 09:40:00	ga_ls7e_ard_3-0-0_095084_2004-08-11_final
2005-07-29 09:40:12	ga_ls7e_ard_3-0-0_095083_2005-07-29_final
2005-08-30 09:39:13	ga_ls7e_ard_3-0-0_095081_2005-08-30_final
2005-12-04 09:37:12	ga_ls7e_ard_3-0-0_095075_2005-12-04_final
2006-06-30 09:39:06	ga_ls7e_ard_3-1-0_095079_2006-06-30_final
2007-08-04 09:41:18	ga_ls7e_ard_3-0-0_095084_2007-08-04_final
2007-09-05 09:38:17	ga_ls7e_ard_3-0-0_095077_2007-09-05_final
2009-06-06 09:38:26	ga_ls7e_ard_3-0-0_095076_2009-06-06_final
2009-06-22 09:40:00	ga_ls7e_ard_3-0-0_095080_2009-06-22_final
2010-05-08 09:42:33	ga_ls7e_ard_3-0-0_095082_2010-05-08_final
2010-07-11 09:42:12	ga_ls7e_ard_3-0-0_095081_2010-07-11_final
2011-01-03 09:43:11	ga_ls7e_ard_3-0-0_095081_2011-01-03_final
2011-10-02 09:44:03	ga_ls7e_ard_3-0-0_095083_2011-10-02_final
2012-09-18 09:46:14	ga_ls7e_ard_3-0-0_095083_2012-09-18_final
2013-12-26 09:46:00	ga_ls7e_ard_3-0-0_095080_2013-12-26_final
2014-04-01 09:46:58	ga_ls7e_ard_3-0-0_095081_2014-04-01_final
2014-07-22 09:48:45	ga_ls7e_ard_3-0-0_095084_2014-07-22_final
2014-08-23 09:47:37	ga_ls7e_ard_3-0-0_095081_2014-08-23_final
2014-11-11 09:48:39	ga_ls7e_ard_3-0-0_095082_2014-11-11_final
2014-11-27 09:49:07	ga_ls7e_ard_3-0-0_095083_2014-11-27_final
2015-01-14 09:48:10	ga_ls7e_ard_3-0-0_095080_2015-01-14_final
2015-01-30 09:49:27	ga_ls7e_ard_3-0-0_095083_2015-01-30_final
2015-03-19 09:49:48	ga_ls7e_ard_3-0-0_095083_2015-03-19_final
2015-06-07 09:50:22	ga_ls7e_ard_3-0-0_095083_2015-06-07_final
2015-07-09 09:48:54	ga_ls7e_ard_3-1-0_095079_2015-07-09_final
2015-07-09 09:49:42	ga_ls7e_ard_3-0-0_095081_2015-07-09_final
2015-09-11 09:49:30	ga_ls7e_ard_3-0-0_095080_2015-09-11_final
2017-10-18 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-10-18_final
2018-05-14 09:51:26	ga_ls7e_ard_3-0-0_095084_2018-05-14_final
2018-12-24 09:46:40	ga_ls7e_ard_3-0-0_095084_2018-12-24_final
2019-02-26 09:45:29	ga_ls7e_ard_3-1-0_095086_2019-02-26_final
2019-03-30 09:42:03	ga_ls7e_ard_3-0-0_095080_2019-03-30_final
2020-01-12 09:27:56	ga_ls7e_ard_3-1-0_095075_2020-01-11_final
2020-07-22 09:20:15	ga_ls7e_ard_3-1-0_095083_2020-07-21_final
2021-03-10 09:06:51	ga_ls7e_ard_3-2-0_096074_2021-03-09_final
2021-03-14 10:23:53	ga_ls7e_ard_3-2-0_108082_2021-03-14_final
2021-03-15 11:03:52	ga_ls7e_ard_3-2-0_115074_2021-03-15_final
2021-03-23 10:15:47	ga_ls7e_ard_3-2-0_107079_2021-03-23_final
2021-03-24 09:19:17	ga_ls7e_ard_3-2-0_098077_2021-03-23_final
2021-04-07 09:33:17	ga_ls7e_ard_3-2-0_100084_2021-04-07_final
2021-04-18 09:11:02	ga_ls7e_ard_3-2-0_097077_2021-04-17_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-04-29 10:30:02	ga_ls7e_ard_3-2-0_110076_2021-04-29_final
2021-05-06 10:36:26	ga_ls7e_ard_3-2-0_111078_2021-05-06_final
2021-05-10 10:13:47	ga_ls7e_ard_3-2-0_107084_2021-05-10_final
2021-05-14 09:44:44	ga_ls7e_ard_3-2-0_103074_2021-05-14_final
2021-05-15 10:26:43	ga_ls7e_ard_3-2-0_110071_2021-05-15_final
2021-05-17 08:38:06	ga_ls7e_ard_3-2-0_092078_2021-05-16_final
2021-05-25 09:24:51	ga_ls7e_ard_3-2-0_100073_2021-05-24_final
2021-05-31 08:50:03	ga_ls7e_ard_3-2-0_094080_2021-05-30_final
2021-06-02 10:13:12	ga_ls7e_ard_3-2-0_108072_2021-06-02_final
2021-06-04 08:27:24	ga_ls7e_ard_3-2-0_090086_2021-06-03_final
2021-06-08 09:34:27	ga_ls7e_ard_3-2-0_102069_2021-06-08_final
2021-06-14 08:57:41	ga_ls7e_ard_3-2-0_096071_2021-06-13_final
2021-06-17 09:29:08	ga_ls7e_ard_3-2-0_101073_2021-06-16_final
2021-06-18 08:35:02	ga_ls7e_ard_3-2-0_092077_2021-06-17_final
2021-06-23 10:28:27	ga_ls7e_ard_3-2-0_111068_2021-06-23_final
2021-06-24 09:35:08	ga_ls7e_ard_3-2-0_102074_2021-06-24_final
2021-06-25 08:39:26	ga_ls7e_ard_3-2-0_093074_2021-06-24_final
2021-06-25 08:45:01	ga_ls7e_ard_3-2-0_093088_2021-06-24_final
2021-06-25 10:21:30	ga_ls7e_ard_3-2-0_109082_2021-06-25_final
2021-07-06 08:24:46	ga_ls7e_ard_3-2-0_090086_2021-07-05_final
2021-07-13 10:04:02	ga_ls7e_ard_3-2-0_107073_2021-07-13_final
2021-07-18 10:25:44	ga_ls7e_ard_3-2-0_110082_2021-07-18_final
2021-07-19 09:27:14	ga_ls7e_ard_3-2-0_101075_2021-07-18_final
2021-07-22 08:22:59	ga_ls7e_ard_3-2-0_090085_2021-07-21_final
2021-08-19 08:44:26	ga_ls7e_ard_3-2-0_094083_2021-08-18_final
2021-08-19 10:22:31	ga_ls7e_ard_3-2-0_110081_2021-08-19_final
2021-08-22 09:14:17	ga_ls7e_ard_3-2-0_099081_2021-08-21_final
2021-08-28 10:16:46	ga_ls7e_ard_3-2-0_109084_2021-08-28_final
2021-09-01 08:13:37	ga_ls7e_ard_3-2-0_089086_2021-08-31_final
2021-09-06 08:28:08	ga_ls7e_ard_3-2-0_092077_2021-09-05_final
2021-09-09 09:01:58	ga_ls7e_ard_3-2-0_097085_2021-09-08_final
2021-09-17 08:11:25	ga_ls7e_ard_3-2-0_089084_2021-09-16_final
2021-09-21 09:24:01	ga_ls7e_ard_3-2-0_101081_2021-09-20_final
2021-10-14 09:24:34	ga_ls7e_ard_3-2-0_102072_2021-10-13_final
2021-10-21 09:32:31	ga_ls7e_ard_3-2-0_103078_2021-10-21_final
2021-10-23 09:17:34	ga_ls7e_ard_3-2-0_101072_2021-10-22_final
2021-10-24 10:00:21	ga_ls7e_ard_3-2-0_108071_2021-10-24_final
2021-11-06 09:29:02	ga_ls7e_ard_3-2-0_103073_2021-11-05_final
2021-11-10 09:03:55	ga_ls7e_ard_3-2-0_099073_2021-11-09_final
2021-11-13 09:34:08	ga_ls7e_ard_3-2-1_104072_2021-11-13_final
2021-11-14 08:42:00	ga_ls7e_ard_3-2-1_095081_2021-11-13_final
2022-01-03 08:26:00	ga_ls7e_ard_3-2-1_093084_2022-01-02_final
2022-01-17 10:14:43	ga_ls7e_ard_3-2-1_111081_2022-01-17_final
2022-02-07 08:49:30	ga_ls7e_ard_3-2-1_098074_2022-02-06_final
2022-02-14 10:35:50	ga_ls7e_ard_3-2-1_115079_2022-02-14_final
2022-02-26 09:19:43	ga_ls7e_ard_3-2-1_103077_2022-02-25_final
2022-03-08 08:18:09	ga_ls7e_ard_3-2-1_093080_2022-03-07_final
2022-03-10 09:43:40	ga_ls7e_ard_3-2-1_107078_2022-03-10_final
2022-03-20 08:39:16	ga_ls7e_ard_3-2-1_097074_2022-03-19_final
2022-03-24 08:14:34	ga_ls7e_ard_3-2-1_093075_2022-03-23_final
2022-03-31 08:23:41	ga_ls7e_ard_3-2-1_094084_2022-03-30_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