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
2002-01-10 09:39:09	ga_ls7e_ard_3-0-0_095082_2002-01-10_final
2002-09-23 09:38:10	ga_ls7e_ard_3-0-0_095082_2002-09-23_final
2002-12-12 09:38:14	ga_ls7e_ard_3-0-0_095081_2002-12-12_final
2002-12-12 09:39:02	ga_ls7e_ard_3-0-0_095083_2002-12-12_final
2002-12-28 09:35:09	ga_ls7e_ard_3-1-0_095073_2002-12-28_final
2004-02-17 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-02-17_final
2004-04-05 09:41:38	ga_ls7e_ard_3-0-0_095087_2004-04-05_final
2004-09-12 09:40:15	ga_ls7e_ard_3-0-0_095085_2004-09-12_final
2005-03-23 09:36:30	ga_ls7e_ard_3-1-0_095073_2005-03-23_final
2005-10-17 09:40:20	ga_ls7e_ard_3-0-0_095084_2005-10-17_final
2006-03-10 09:40:06	ga_ls7e_ard_3-0-0_095081_2006-03-10_final
2006-06-14 09:39:36	ga_ls7e_ard_3-0-0_095080_2006-06-14_final
2006-12-23 09:38:12	ga_ls7e_ard_3-0-0_095076_2006-12-23_final
2007-07-03 09:41:50	ga_ls7e_ard_3-0-0_095085_2007-07-03_final
2007-09-21 09:40:59	ga_ls7e_ard_3-0-0_095084_2007-09-21_final
2008-06-19 09:40:53	ga_ls7e_ard_3-0-0_095084_2008-06-19_final
2009-02-14 09:41:29	ga_ls7e_ard_3-0-0_095085_2009-02-14_final
2009-04-03 09:40:40	ga_ls7e_ard_3-0-0_095082_2009-04-03_final
2009-04-19 09:37:34	ga_ls7e_ard_3-0-0_095074_2009-04-19_final
2009-09-10 09:41:21	ga_ls7e_ard_3-0-0_095084_2009-09-10_final
2010-09-13 09:43:29	ga_ls7e_ard_3-0-0_095084_2010-09-13_final
2010-12-18 09:45:02	ga_ls7e_ard_3-0-0_095086_2010-12-18_final
2011-01-03 09:43:11	ga_ls7e_ard_3-0-0_095081_2011-01-03_final
2012-01-06 09:44:49	ga_ls7e_ard_3-0-0_095083_2012-01-06_final
2013-02-25 09:43:21	ga_ls7e_ard_3-0-0_095074_2013-02-25_final
2014-08-07 09:48:03	ga_ls7e_ard_3-0-0_095082_2014-08-07_final
2014-12-29 09:46:30	ga_ls7e_ard_3-0-0_095076_2014-12-29_final
2016-02-18 09:53:28	ga_ls7e_ard_3-0-0_095085_2016-02-18_final
2017-01-19 09:51:18	ga_ls7e_ard_3-1-0_095079_2017-01-19_final
2017-05-11 09:49:41	ga_ls7e_ard_3-0-0_095074_2017-05-11_final
2017-12-21 09:49:30	ga_ls7e_ard_3-0-0_095074_2017-12-21_final
2018-06-15 09:47:43	ga_ls7e_ard_3-0-0_095076_2018-06-15_final
2018-07-01 09:50:12	ga_ls7e_ard_3-0-0_095083_2018-07-01_final
2018-10-21 09:48:39	ga_ls7e_ard_3-0-0_095085_2018-10-21_final
2018-12-24 09:47:04	ga_ls7e_ard_3-0-0_095085_2018-12-24_final
2019-01-25 09:42:28	ga_ls7e_ard_3-0-0_095076_2019-01-25_final
2019-02-26 09:45:05	ga_ls7e_ard_3-1-0_095085_2019-02-26_final
2019-10-08 09:34:54	ga_ls7e_ard_3-1-0_095081_2019-10-08_final
2020-04-01 09:24:31	ga_ls7e_ard_3-1-0_095077_2020-03-31_final
2020-04-17 09:26:00	ga_ls7e_ard_3-1-0_095083_2020-04-16_final
2020-10-10 09:11:31	ga_ls7e_ard_3-1-0_095074_2020-10-09_final
2021-02-08 10:38:27	ga_ls7e_ard_3-2-0_110081_2021-02-08_final
2021-02-18 09:35:30	ga_ls7e_ard_3-2-0_100080_2021-02-18_final
2021-02-26 08:44:39	ga_ls7e_ard_3-2-0_092078_2021-02-25_final
2021-02-26 10:23:56	ga_ls7e_ard_3-2-0_108079_2021-02-26_final
2021-03-05 10:28:46	ga_ls7e_ard_3-2-0_109077_2021-03-05_final
2021-03-05 10:30:22	ga_ls7e_ard_3-2-0_109081_2021-03-05_final
2021-03-09 08:27:15	ga_ls7e_ard_3-2-0_089083_2021-03-08_final
2021-03-21 10:27:06	ga_ls7e_ard_3-2-0_109076_2021-03-21_final
2021-03-27 09:49:32	ga_ls7e_ard_3-2-0_103076_2021-03-27_final
2021-04-02 10:51:15	ga_ls7e_ard_3-2-0_113077_2021-04-02_final
2021-04-02 10:52:51	ga_ls7e_ard_3-2-0_113081_2021-04-02_final
2021-04-08 10:10:53	ga_ls7e_ard_3-2-0_107070_2021-04-08_final
2021-04-15 10:20:04	ga_ls7e_ard_3-2-0_108079_2021-04-15_final
2021-04-22 10:24:27	ga_ls7e_ard_3-2-0_109076_2021-04-22_final
2021-04-27 10:45:22	ga_ls7e_ard_3-2-0_112083_2021-04-27_final
2021-05-06 08:59:09	ga_ls7e_ard_3-2-0_095082_2021-05-05_final
2021-05-19 08:25:34	ga_ls7e_ard_3-2-0_090078_2021-05-18_final
2021-05-19 08:25:58	ga_ls7e_ard_3-2-0_090079_2021-05-18_final
2021-05-19 10:04:03	ga_ls7e_ard_3-2-0_106077_2021-05-19_final
2021-05-21 09:49:31	ga_ls7e_ard_3-2-0_104072_2021-05-21_final
2021-06-05 10:48:39	ga_ls7e_ard_3-2-0_113084_2021-06-05_final
2021-06-06 09:48:10	ga_ls7e_ard_3-2-0_104072_2021-06-06_final
2021-06-13 08:19:17	ga_ls7e_ard_3-2-0_089083_2021-06-12_final
2021-06-13 09:56:10	ga_ls7e_ard_3-2-0_105078_2021-06-13_final
2021-06-16 10:28:25	ga_ls7e_ard_3-2-0_110082_2021-06-16_final
2021-06-27 08:28:54	ga_ls7e_ard_3-2-0_091079_2021-06-26_final
2021-07-11 08:38:53	ga_ls7e_ard_3-2-0_093076_2021-07-10_final
2021-07-18 08:48:27	ga_ls7e_ard_3-2-0_094086_2021-07-17_final
2021-07-18 10:25:20	ga_ls7e_ard_3-2-0_110081_2021-07-18_final
2021-07-20 08:32:20	ga_ls7e_ard_3-2-0_092077_2021-07-19_final
2021-07-20 08:33:32	ga_ls7e_ard_3-2-0_092080_2021-07-19_final
2021-07-26 09:34:48	ga_ls7e_ard_3-2-0_102080_2021-07-26_final
2021-07-28 09:23:28	ga_ls7e_ard_3-2-0_100083_2021-07-27_final
2021-08-07 09:58:28	ga_ls7e_ard_3-2-0_106080_2021-08-07_final
2021-08-14 08:27:08	ga_ls7e_ard_3-2-0_091085_2021-08-13_final
2021-08-21 10:07:12	ga_ls7e_ard_3-2-0_108074_2021-08-21_final
2021-08-30 08:22:10	ga_ls7e_ard_3-2-0_091076_2021-08-29_final
2021-09-04 10:17:09	ga_ls7e_ard_3-2-0_110071_2021-09-04_final
2021-09-06 10:06:13	ga_ls7e_ard_3-2-0_108075_2021-09-06_final
2021-09-06 10:09:48	ga_ls7e_ard_3-2-0_108084_2021-09-06_final
2021-09-21 09:20:25	ga_ls7e_ard_3-2-0_101072_2021-09-20_final
2021-09-22 08:26:19	ga_ls7e_ard_3-2-0_092076_2021-09-21_final
2021-10-04 08:52:22	ga_ls7e_ard_3-2-0_096082_2021-10-03_final
2021-10-15 08:30:51	ga_ls7e_ard_3-2-0_093077_2021-10-14_final
2021-10-17 08:18:43	ga_ls7e_ard_3-2-0_091078_2021-10-16_final
2021-10-18 10:41:10	ga_ls7e_ard_3-2-0_114079_2021-10-18_final
2021-10-28 09:34:27	ga_ls7e_ard_3-2-0_104069_2021-10-28_final
2021-12-16 08:39:21	ga_ls7e_ard_3-2-1_095082_2021-12-15_final
2021-12-21 08:53:49	ga_ls7e_ard_3-2-1_098073_2021-12-20_final
2021-12-26 09:15:03	ga_ls7e_ard_3-2-1_101081_2021-12-25_final
2021-12-27 08:21:20	ga_ls7e_ard_3-2-1_092086_2021-12-26_final
2021-12-30 08:51:08	ga_ls7e_ard_3-2-1_097084_2021-12-29_final
2022-01-03 10:00:53	ga_ls7e_ard_3-2-1_109074_2022-01-03_final
2022-01-12 09:53:27	ga_ls7e_ard_3-2-1_108073_2022-01-12_final
2022-02-04 10:00:59	ga_ls7e_ard_3-2-1_109082_2022-02-04_final
2022-02-06 08:09:33	ga_ls7e_ard_3-2-1_091082_2022-02-05_final
2022-02-11 10:07:14	ga_ls7e_ard_3-2-1_110084_2022-02-11_final
2022-03-18 08:51:25	ga_ls7e_ard_3-2-1_099073_2022-03-17_final
2022-03-23 09:11:29	ga_ls7e_ard_3-2-1_102078_2022-03-22_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