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
2001-08-03 09:39:30	ga_ls7e_ard_3-0-0_095082_2001-08-03_final
2001-12-21 11:41:29	ga_ls7e_ard_3-0-0_115079_2001-12-21_final
2002-03-15 09:40:27	ga_ls7e_ard_3-0-0_095085_2002-03-15_final
2002-04-16 09:38:46	ga_ls7e_ard_3-0-0_095081_2002-04-16_final
2002-06-03 09:38:36	ga_ls7e_ard_3-0-0_095081_2002-06-03_final
2002-10-24 08:54:56	ga_ls7e_ard_3-0-0_088082_2002-10-23_final
2004-11-15 09:35:44	ga_ls7e_ard_3-1-0_095073_2004-11-15_final
2004-11-27 11:41:53	ga_ls7e_ard_3-0-0_115079_2004-11-27_final
2004-12-17 09:41:12	ga_ls7e_ard_3-0-0_095086_2004-12-17_final
2005-02-03 09:39:05	ga_ls7e_ard_3-0-0_095080_2005-02-03_final
2005-03-23 09:36:30	ga_ls7e_ard_3-1-0_095073_2005-03-23_final
2005-06-27 09:40:59	ga_ls7e_ard_3-0-0_095085_2005-06-27_final
2006-04-27 09:41:13	ga_ls7e_ard_3-1-0_095084_2006-04-27_final
2007-05-16 09:39:34	ga_ls7e_ard_3-1-0_095079_2007-05-16_final
2007-11-08 09:39:39	ga_ls7e_ard_3-0-0_095080_2007-11-08_final
2008-04-16 09:42:07	ga_ls7e_ard_3-0-0_095086_2008-04-16_final
2008-08-22 09:39:54	ga_ls7e_ard_3-0-0_095083_2008-08-22_final
2008-09-23 09:38:50	ga_ls7e_ard_3-0-0_095081_2008-09-23_final
2009-05-05 09:41:12	ga_ls7e_ard_3-0-0_095083_2009-05-05_final
2010-04-22 09:41:48	ga_ls7e_ard_3-0-0_095080_2010-04-22_final
2011-02-16 11:46:14	ga_ls7e_ard_3-0-0_115079_2011-02-16_final
2011-04-09 09:44:49	ga_ls7e_ard_3-0-0_095084_2011-04-09_final
2011-10-02 09:40:28	ga_ls7e_ard_3-0-0_095074_2011-10-02_final
2012-08-01 09:42:32	ga_ls7e_ard_3-0-0_095075_2012-08-01_final
2012-09-18 09:45:50	ga_ls7e_ard_3-0-0_095082_2012-09-18_final
2013-01-08 09:46:57	ga_ls7e_ard_3-0-0_095083_2013-01-08_final
2013-06-16 09:02:23	ga_ls7e_ard_3-0-0_088081_2013-06-15_final
2014-05-19 09:48:08	ga_ls7e_ard_3-0-0_095083_2014-05-19_final
2014-10-10 09:49:56	ga_ls7e_ard_3-0-0_095086_2014-10-10_final
2014-11-11 09:49:03	ga_ls7e_ard_3-0-0_095083_2014-11-11_final
2015-04-04 09:49:30	ga_ls7e_ard_3-0-0_095082_2015-04-04_final
2017-02-20 09:48:24	ga_ls7e_ard_3-0-0_095072_2017-02-20_final
2017-04-09 09:52:41	ga_ls7e_ard_3-0-0_095082_2017-04-09_final
2017-04-21 11:55:11	ga_ls7e_ard_3-0-0_115079_2017-04-21_final
2017-07-30 09:54:14	ga_ls7e_ard_3-0-0_095085_2017-07-30_final
2017-08-15 09:50:36	ga_ls7e_ard_3-0-0_095076_2017-08-15_final
2017-10-02 09:53:23	ga_ls7e_ard_3-0-0_095083_2017-10-02_final
2018-02-23 09:52:38	ga_ls7e_ard_3-0-0_095084_2018-02-23_final
2018-07-01 09:49:48	ga_ls7e_ard_3-0-0_095082_2018-07-01_final
2018-10-17 11:49:57	ga_ls7e_ard_3-0-0_115079_2018-10-17_final
2019-03-14 09:43:47	ga_ls7e_ard_3-1-0_095083_2019-03-14_final
2019-03-30 09:43:14	ga_ls7e_ard_3-0-0_095083_2019-03-30_final
2019-07-04 09:39:18	ga_ls7e_ard_3-0-0_095082_2019-07-04_final
2019-08-21 09:31:23	ga_ls7e_ard_3-0-0_095067_2019-08-21_final
2020-02-29 09:27:53	ga_ls7e_ard_3-1-0_095081_2020-02-28_final
2020-05-03 09:23:51	ga_ls7e_ard_3-1-0_095080_2020-05-02_final
2021-02-21 08:29:18	ga_ls7e_ard_3-2-0_089085_2021-02-20_final
2021-03-05 10:30:22	ga_ls7e_ard_3-2-0_109081_2021-03-05_final
2021-03-09 08:25:16	ga_ls7e_ard_3-2-0_089078_2021-03-08_final
2021-03-10 09:09:14	ga_ls7e_ard_3-2-0_096080_2021-03-09_final
2021-03-12 08:51:32	ga_ls7e_ard_3-2-0_094067_2021-03-11_final
2021-03-19 08:57:10	ga_ls7e_ard_3-2-0_095067_2021-03-18_final
2021-03-25 08:26:47	ga_ls7e_ard_3-2-0_089085_2021-03-24_final
2021-04-06 08:48:31	ga_ls7e_ard_3-2-0_093080_2021-04-05_final
2021-04-10 08:23:52	ga_ls7e_ard_3-2-0_089081_2021-04-09_final
2021-04-24 10:09:56	ga_ls7e_ard_3-2-0_107071_2021-04-24_final
2021-05-06 10:37:38	ga_ls7e_ard_3-2-0_111081_2021-05-06_final
2021-05-08 10:24:43	ga_ls7e_ard_3-2-0_109080_2021-05-08_final
2021-05-11 09:12:53	ga_ls7e_ard_3-2-0_098071_2021-05-10_final
2021-05-13 08:59:58	ga_ls7e_ard_3-2-0_096070_2021-05-12_final
2021-05-26 08:33:09	ga_ls7e_ard_3-2-0_091083_2021-05-25_final
2021-05-27 09:17:07	ga_ls7e_ard_3-2-0_098085_2021-05-26_final
2021-05-31 10:25:20	ga_ls7e_ard_3-2-0_110071_2021-05-31_final
2021-06-12 10:51:28	ga_ls7e_ard_3-2-0_114077_2021-06-12_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-14 10:50:00	ga_ls7e_ard_3-2-0_114080_2021-07-14_final
2021-07-28 09:23:04	ga_ls7e_ard_3-2-0_100082_2021-07-27_final
2021-08-05 10:11:00	ga_ls7e_ard_3-2-0_108080_2021-08-05_final
2021-08-07 08:19:11	ga_ls7e_ard_3-2-0_090079_2021-08-06_final
2021-08-23 09:54:16	ga_ls7e_ard_3-2-0_106073_2021-08-23_final
2021-09-09 08:57:34	ga_ls7e_ard_3-2-0_097074_2021-09-08_final
2021-09-16 09:04:20	ga_ls7e_ard_3-2-0_098077_2021-09-15_final
2021-09-25 08:54:57	ga_ls7e_ard_3-2-0_097071_2021-09-24_final
2021-09-25 08:59:20	ga_ls7e_ard_3-2-0_097082_2021-09-24_final
2021-09-29 08:31:27	ga_ls7e_ard_3-2-0_093075_2021-09-28_final
2021-10-01 08:20:07	ga_ls7e_ard_3-2-0_091078_2021-09-30_final
2021-10-01 08:22:55	ga_ls7e_ard_3-2-0_091085_2021-09-30_final
2021-10-15 08:30:27	ga_ls7e_ard_3-2-0_093076_2021-10-14_final
2021-10-18 10:41:33	ga_ls7e_ard_3-2-0_114080_2021-10-18_final
2021-10-28 09:37:39	ga_ls7e_ard_3-2-0_104077_2021-10-28_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-12 10:31:03	ga_ls7e_ard_3-2-1_113075_2021-11-12_final
2021-11-15 09:21:11	ga_ls7e_ard_3-2-1_102071_2021-11-14_final
2021-11-16 08:27:04	ga_ls7e_ard_3-2-1_093075_2021-11-15_final
2021-12-04 08:15:23	ga_ls7e_ard_3-2-1_091081_2021-12-03_final
2021-12-09 10:09:08	ga_ls7e_ard_3-2-1_110073_2021-12-09_final
2021-12-20 09:51:08	ga_ls7e_ard_3-2-1_107077_2021-12-20_final
2021-12-23 08:45:39	ga_ls7e_ard_3-2-1_096084_2021-12-22_final
2021-12-31 09:28:42	ga_ls7e_ard_3-2-1_104070_2021-12-30_final
2022-02-07 08:50:42	ga_ls7e_ard_3-2-1_098077_2022-02-06_final
2022-02-13 09:54:40	ga_ls7e_ard_3-2-1_108084_2022-02-13_final
2022-02-22 08:08:44	ga_ls7e_ard_3-2-1_091084_2022-02-21_final
2022-03-01 09:51:32	ga_ls7e_ard_3-2-1_108080_2022-03-01_final
2022-03-03 08:00:06	ga_ls7e_ard_3-2-1_090080_2022-03-02_final
2022-03-09 08:58:07	ga_ls7e_ard_3-2-1_100072_2022-03-08_final
2022-03-18 08:53:48	ga_ls7e_ard_3-2-1_099079_2022-03-17_final
2022-03-26 08:02:49	ga_ls7e_ard_3-2-1_091077_2022-03-25_final
2022-03-27 08:49:11	ga_ls7e_ard_3-2-1_098085_2022-03-26_final
2022-03-27 10:25:40	ga_ls7e_ard_3-2-1_114079_2022-03-27_final
2022-03-31 09:59:22	ga_ls7e_ard_3-2-1_110076_2022-03-31_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