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
1999-07-25 11:44:02	ga_ls7e_ard_3-0-0_115075_1999-07-25_final
2000-02-27 11:38:28	ga_ls7e_ard_3-0-0_114077_2000-02-27_final
2001-02-24 09:40:46	ga_ls7e_ard_3-0-0_095082_2001-02-24_final
2001-05-31 09:40:09	ga_ls7e_ard_3-0-0_095082_2001-05-31_final
2002-01-10 09:39:09	ga_ls7e_ard_3-0-0_095082_2002-01-10_final
2004-02-01 09:38:41	ga_ls7e_ard_3-0-0_095080_2004-02-01_final
2004-04-01 11:41:40	ga_ls7e_ard_3-0-0_115078_2004-04-01_final
2004-08-11 09:39:12	ga_ls7e_ard_3-0-0_095082_2004-08-11_final
2005-03-07 09:40:29	ga_ls7e_ard_3-0-0_095083_2005-03-07_final
2005-03-23 09:39:41	ga_ls7e_ard_3-0-0_095081_2005-03-23_final
2005-09-27 11:39:53	ga_ls7e_ard_3-0-0_115074_2005-09-27_final
2005-11-23 11:36:34	ga_ls7e_ard_3-0-0_114080_2005-11-23_final
2005-11-30 11:42:23	ga_ls7e_ard_3-0-0_115079_2005-11-30_final
2006-08-01 09:40:53	ga_ls7e_ard_3-0-0_095084_2006-08-01_final
2006-09-18 09:39:55	ga_ls7e_ard_3-0-0_095082_2006-09-18_final
2006-11-05 09:41:24	ga_ls7e_ard_3-0-0_095085_2006-11-05_final
2007-03-29 09:39:44	ga_ls7e_ard_3-1-0_095079_2007-03-29_final
2007-08-04 09:37:18	ga_ls7e_ard_3-0-0_095074_2007-08-04_final
2007-09-21 09:40:59	ga_ls7e_ard_3-0-0_095084_2007-09-21_final
2008-02-01 11:37:21	ga_ls7e_ard_3-0-0_114080_2008-02-01_final
2008-05-07 11:37:04	ga_ls7e_ard_3-0-0_114080_2008-05-07_final
2008-09-03 11:39:49	ga_ls7e_ard_3-0-0_115074_2008-09-03_final
2009-01-25 11:42:09	ga_ls7e_ard_3-0-0_115078_2009-01-25_final
2009-03-02 09:37:15	ga_ls7e_ard_3-0-0_095074_2009-03-02_final
2009-08-25 09:36:35	ga_ls7e_ard_3-0-0_095072_2009-08-25_final
2010-01-21 11:37:49	ga_ls7e_ard_3-0-0_114078_2010-01-21_final
2010-05-24 09:38:31	ga_ls7e_ard_3-0-0_095072_2010-05-24_final
2010-05-24 09:39:19	ga_ls7e_ard_3-0-0_095074_2010-05-24_final
2011-01-24 11:38:22	ga_ls7e_ard_3-0-0_114075_2011-01-24_final
2011-09-16 09:37:41	ga_ls7e_ard_3-0-0_095067_2011-09-16_final
2011-12-04 09:00:29	ga_ls7e_ard_3-0-0_088081_2011-12-03_final
2011-12-21 09:40:18	ga_ls7e_ard_3-0-0_095072_2011-12-21_final
2012-03-26 09:46:07	ga_ls7e_ard_3-0-0_095086_2012-03-26_final
2012-04-07 11:45:16	ga_ls7e_ard_3-0-0_115075_2012-04-07_final
2012-04-26 09:01:03	ga_ls7e_ard_3-0-0_088081_2012-04-25_final
2012-06-14 09:46:00	ga_ls7e_ard_3-0-0_095085_2012-06-14_final
2013-07-18 09:02:30	ga_ls7e_ard_3-0-0_088082_2013-07-17_final
2014-02-12 09:47:13	ga_ls7e_ard_3-0-0_095082_2014-02-12_final
2014-05-31 11:48:11	ga_ls7e_ard_3-0-0_115074_2014-05-31_final
2014-11-23 11:49:05	ga_ls7e_ard_3-0-0_115074_2014-11-23_final
2015-04-04 09:43:31	ga_ls7e_ard_3-0-0_095067_2015-04-04_final
2015-04-04 09:49:54	ga_ls7e_ard_3-0-0_095083_2015-04-04_final
2015-06-03 11:50:21	ga_ls7e_ard_3-0-0_115074_2015-06-03_final
2015-09-27 09:51:58	ga_ls7e_ard_3-0-0_095086_2015-09-27_final
2016-01-29 11:53:23	ga_ls7e_ard_3-0-0_115076_2016-01-29_final
2017-05-11 09:48:53	ga_ls7e_ard_3-0-0_095072_2017-05-11_final
2017-08-31 09:53:00	ga_ls7e_ard_3-0-0_095082_2017-08-31_final
2017-09-28 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-09-28_final
2017-11-03 09:53:49	ga_ls7e_ard_3-0-0_095084_2017-11-03_final
2018-03-27 09:49:02	ga_ls7e_ard_3-0-0_095076_2018-03-27_final
2018-04-24 11:52:59	ga_ls7e_ard_3-0-0_115078_2018-04-24_final
2018-06-27 11:51:05	ga_ls7e_ard_3-0-0_115076_2018-06-27_final
2018-11-06 09:43:08	ga_ls7e_ard_3-0-0_095072_2018-11-06_final
2019-04-27 11:43:50	ga_ls7e_ard_3-0-0_115078_2019-04-27_final
2019-10-24 09:36:13	ga_ls7e_ard_3-1-0_095086_2019-10-24_final
2019-12-27 09:31:09	ga_ls7e_ard_3-1-0_095081_2019-12-27_final
2020-03-16 09:27:01	ga_ls7e_ard_3-1-0_095081_2020-03-15_final
2020-04-06 11:21:40	ga_ls7e_ard_3-1-0_114077_2020-04-06_final
2021-01-29 09:59:19	ga_ls7e_ard_3-2-0_104074_2021-01-29_final
2021-02-15 08:59:39	ga_ls7e_ard_3-2-0_095067_2021-02-14_final
2021-02-21 08:26:30	ga_ls7e_ard_3-2-0_089078_2021-02-20_final
2021-04-01 10:04:53	ga_ls7e_ard_3-2-0_106069_2021-04-01_final
2021-04-09 09:16:22	ga_ls7e_ard_3-2-0_098073_2021-04-08_final
2021-04-25 10:51:31	ga_ls7e_ard_3-2-0_114067_2021-04-25_final
2021-05-02 09:20:13	ga_ls7e_ard_3-2-0_099072_2021-05-01_final
2021-05-06 10:35:38	ga_ls7e_ard_3-2-0_111076_2021-05-06_final
2021-05-10 10:09:23	ga_ls7e_ard_3-2-0_107073_2021-05-10_final
2021-05-13 10:43:38	ga_ls7e_ard_3-2-0_112082_2021-05-13_final
2021-05-17 10:14:59	ga_ls7e_ard_3-2-0_108073_2021-05-17_final
2021-05-24 08:46:28	ga_ls7e_ard_3-2-0_093085_2021-05-23_final
2021-06-21 09:08:52	ga_ls7e_ard_3-2-0_097085_2021-06-20_final
2021-07-27 08:41:30	ga_ls7e_ard_3-2-0_093086_2021-07-26_final
2021-08-10 08:51:01	ga_ls7e_ard_3-2-0_095082_2021-08-09_final
2021-08-13 09:20:27	ga_ls7e_ard_3-2-0_100079_2021-08-12_final
2021-08-19 10:16:56	ga_ls7e_ard_3-2-0_110067_2021-08-19_final
2021-08-21 10:09:35	ga_ls7e_ard_3-2-0_108080_2021-08-21_final
2021-08-31 09:02:32	ga_ls7e_ard_3-2-0_098069_2021-08-30_final
2021-09-07 09:08:31	ga_ls7e_ard_3-2-0_099070_2021-09-06_final
2021-09-13 08:36:53	ga_ls7e_ard_3-2-0_093085_2021-09-12_final
2021-09-14 09:16:28	ga_ls7e_ard_3-2-0_100076_2021-09-13_final
2021-09-17 08:09:49	ga_ls7e_ard_3-2-0_089080_2021-09-16_final
2021-09-23 09:11:28	ga_ls7e_ard_3-2-0_099081_2021-09-22_final
2021-10-01 08:21:43	ga_ls7e_ard_3-2-0_091082_2021-09-30_final
2021-10-02 08:59:42	ga_ls7e_ard_3-2-0_098069_2021-10-01_final
2021-10-24 08:23:04	ga_ls7e_ard_3-2-0_092075_2021-10-23_final
2021-10-30 09:22:43	ga_ls7e_ard_3-2-0_102071_2021-10-29_final
2021-11-02 09:58:07	ga_ls7e_ard_3-2-0_107083_2021-11-02_final
2021-11-03 08:57:13	ga_ls7e_ard_3-2-0_098070_2021-11-02_final
2021-11-05 08:50:15	ga_ls7e_ard_3-2-0_096084_2021-11-04_final
2021-11-09 08:24:45	ga_ls7e_ard_3-2-0_092083_2021-11-08_final
2021-12-18 08:24:01	ga_ls7e_ard_3-2-1_093075_2021-12-17_final
2021-12-20 08:15:51	ga_ls7e_ard_3-2-1_091086_2021-12-19_final
2022-01-03 10:04:53	ga_ls7e_ard_3-2-1_109084_2022-01-03_final
2022-01-12 09:53:27	ga_ls7e_ard_3-2-1_108073_2022-01-12_final
2022-01-26 08:29:11	ga_ls7e_ard_3-2-1_094082_2022-01-25_final
2022-02-05 09:04:28	ga_ls7e_ard_3-2-1_100080_2022-02-04_final
2022-02-23 10:29:11	ga_ls7e_ard_3-2-1_114080_2022-02-23_final
2022-03-23 09:09:29	ga_ls7e_ard_3-2-1_102073_2022-03-22_final
2022-03-26 08:02:26	ga_ls7e_ard_3-2-1_091076_2022-03-25_final
2022-03-27 08:43:36	ga_ls7e_ard_3-2-1_098071_2022-03-26_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