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
2003-03-30 11:40:18	ga_ls7e_ard_3-0-0_115076_2003-03-30_final
2003-10-12 09:39:41	ga_ls7e_ard_3-0-0_095085_2003-10-12_final
2004-02-13 11:40:19	ga_ls7e_ard_3-0-0_115075_2004-02-13_final
2004-04-01 11:40:04	ga_ls7e_ard_3-0-0_115074_2004-04-01_final
2004-07-10 09:41:23	ga_ls7e_ard_3-0-0_095087_2004-07-10_final
2004-08-10 08:55:32	ga_ls7e_ard_3-0-0_088081_2004-08-09_final
2005-02-15 11:41:36	ga_ls7e_ard_3-1-0_115077_2005-02-15_final
2005-03-03 11:40:29	ga_ls7e_ard_3-0-0_115074_2005-03-03_final
2005-04-24 09:41:08	ga_ls7e_ard_3-0-0_095085_2005-04-24_final
2005-05-06 11:42:24	ga_ls7e_ard_3-0-0_115079_2005-05-06_final
2006-01-05 09:36:11	ga_ls7e_ard_3-0-0_095072_2006-01-05_final
2006-01-21 09:37:08	ga_ls7e_ard_3-0-0_095074_2006-01-21_final
2006-03-09 08:56:50	ga_ls7e_ard_3-0-0_088081_2006-03-08_final
2006-07-12 11:41:49	ga_ls7e_ard_3-1-0_115077_2006-07-12_final
2006-09-01 08:56:21	ga_ls7e_ard_3-0-0_088081_2006-08-31_final
2006-09-02 09:41:12	ga_ls7e_ard_3-0-0_095085_2006-09-02_final
2006-11-21 09:39:35	ga_ls7e_ard_3-0-0_095080_2006-11-21_final
2007-03-25 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-03-25_final
2007-04-30 09:42:27	ga_ls7e_ard_3-0-0_095086_2007-04-30_final
2007-10-07 09:41:16	ga_ls7e_ard_3-0-0_095085_2007-10-07_final
2007-10-19 11:41:02	ga_ls7e_ard_3-0-0_115075_2007-10-19_final
2007-11-08 09:37:39	ga_ls7e_ard_3-0-0_095075_2007-11-08_final
2007-11-20 11:42:58	ga_ls7e_ard_3-0-0_115079_2007-11-20_final
2007-11-24 09:39:47	ga_ls7e_ard_3-0-0_095080_2007-11-24_final
2007-12-25 08:57:28	ga_ls7e_ard_3-0-0_088082_2007-12-24_final
2009-09-26 09:40:56	ga_ls7e_ard_3-0-0_095083_2009-09-26_final
2009-12-11 11:43:43	ga_ls7e_ard_3-0-0_115079_2009-12-11_final
2010-01-16 09:43:07	ga_ls7e_ard_3-0-0_095085_2010-01-16_final
2010-03-21 09:38:58	ga_ls7e_ard_3-1-0_095073_2010-03-21_final
2010-11-12 11:45:29	ga_ls7e_ard_3-0-0_115079_2010-11-12_final
2011-07-14 09:43:55	ga_ls7e_ard_3-0-0_095082_2011-07-14_final
2012-02-06 09:00:49	ga_ls7e_ard_3-0-0_088081_2012-02-05_final
2012-02-22 09:01:16	ga_ls7e_ard_3-0-0_088082_2012-02-21_final
2014-12-25 11:51:20	ga_ls7e_ard_3-0-0_115079_2014-12-25_final
2015-01-14 09:44:58	ga_ls7e_ard_3-0-0_095072_2015-01-14_final
2015-05-27 11:46:53	ga_ls7e_ard_3-0-0_114081_2015-05-27_final
2016-09-13 09:53:30	ga_ls7e_ard_3-0-0_095083_2016-09-13_final
2016-10-15 09:49:57	ga_ls7e_ard_3-0-0_095074_2016-10-15_final
2016-10-31 09:53:52	ga_ls7e_ard_3-0-0_095084_2016-10-31_final
2017-02-04 09:48:47	ga_ls7e_ard_3-1-0_095073_2017-02-04_final
2017-02-20 09:48:48	ga_ls7e_ard_3-1-0_095073_2017-02-20_final
2017-11-15 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-11-15_final
2019-02-22 11:44:26	ga_ls7e_ard_3-1-0_115074_2019-02-22_final
2020-01-12 09:32:20	ga_ls7e_ard_3-1-0_095086_2020-01-12_final
2020-04-01 09:28:07	ga_ls7e_ard_3-1-0_095086_2020-03-31_final
2021-02-16 09:44:02	ga_ls7e_ard_3-2-0_102070_2021-02-16_final
2021-02-28 10:09:49	ga_ls7e_ard_3-2-0_106075_2021-02-28_final
2021-03-01 09:12:32	ga_ls7e_ard_3-2-0_097071_2021-02-28_final
2021-03-01 10:56:36	ga_ls7e_ard_3-2-0_113084_2021-03-01_final
2021-03-02 09:56:31	ga_ls7e_ard_3-2-0_104073_2021-03-02_final
2021-03-09 10:02:33	ga_ls7e_ard_3-2-0_105074_2021-03-09_final
2021-03-23 08:41:18	ga_ls7e_ard_3-2-0_091090_2021-03-22_final
2021-03-24 09:20:29	ga_ls7e_ard_3-2-0_098080_2021-03-23_final
2021-05-06 10:33:39	ga_ls7e_ard_3-2-0_111071_2021-05-06_final
2021-05-08 08:49:02	ga_ls7e_ard_3-2-0_093088_2021-05-07_final
2021-05-18 09:21:16	ga_ls7e_ard_3-2-0_099078_2021-05-17_final
2021-05-20 10:50:01	ga_ls7e_ard_3-2-0_113084_2021-05-20_final
2021-05-22 10:36:17	ga_ls7e_ard_3-2-0_111081_2021-05-22_final
2021-05-31 10:28:56	ga_ls7e_ard_3-2-0_110080_2021-05-31_final
2021-06-02 10:12:01	ga_ls7e_ard_3-2-0_108069_2021-06-02_final
2021-06-03 10:59:11	ga_ls7e_ard_3-2-0_115079_2021-06-03_final
2021-06-14 09:00:52	ga_ls7e_ard_3-2-0_096079_2021-06-13_final
2021-06-16 10:28:49	ga_ls7e_ard_3-2-0_110083_2021-06-16_final
2021-06-19 09:20:12	ga_ls7e_ard_3-2-0_099082_2021-06-18_final
2021-06-23 10:34:26	ga_ls7e_ard_3-2-0_111083_2021-06-23_final
2021-07-02 10:27:06	ga_ls7e_ard_3-2-0_110082_2021-07-02_final
2021-07-09 10:29:30	ga_ls7e_ard_3-2-0_111074_2021-07-09_final
2021-07-17 09:38:58	ga_ls7e_ard_3-2-0_103073_2021-07-17_final
2021-07-18 10:20:57	ga_ls7e_ard_3-2-0_110070_2021-07-18_final
2021-07-25 10:31:42	ga_ls7e_ard_3-2-0_111083_2021-07-25_final
2021-08-02 09:37:11	ga_ls7e_ard_3-2-0_103072_2021-08-02_final
2021-08-06 09:11:42	ga_ls7e_ard_3-2-0_099071_2021-08-05_final
2021-08-12 10:12:34	ga_ls7e_ard_3-2-0_109070_2021-08-12_final
2021-08-26 10:29:18	ga_ls7e_ard_3-2-0_111084_2021-08-26_final
2021-08-28 10:13:34	ga_ls7e_ard_3-2-0_109076_2021-08-28_final
2021-09-16 09:00:20	ga_ls7e_ard_3-2-0_098067_2021-09-15_final
2021-09-22 10:04:23	ga_ls7e_ard_3-2-0_108074_2021-09-22_final
2021-09-23 10:47:58	ga_ls7e_ard_3-2-0_115075_2021-09-23_final
2021-09-29 10:10:20	ga_ls7e_ard_3-2-0_109075_2021-09-29_final
2021-09-30 09:15:50	ga_ls7e_ard_3-2-0_100078_2021-09-29_final
2021-10-06 10:19:30	ga_ls7e_ard_3-2-0_110084_2021-10-06_final
2021-11-03 09:00:25	ga_ls7e_ard_3-2-0_098078_2021-11-02_final
2021-11-16 10:05:56	ga_ls7e_ard_3-2-1_109075_2021-11-16_final
2021-11-17 09:10:37	ga_ls7e_ard_3-2-1_100076_2021-11-16_final
2021-11-28 08:53:01	ga_ls7e_ard_3-2-1_097081_2021-11-27_final
2021-12-13 09:42:02	ga_ls7e_ard_3-2-1_106068_2021-12-13_final
2021-12-17 09:18:32	ga_ls7e_ard_3-2-1_102072_2021-12-16_final
2021-12-18 08:27:36	ga_ls7e_ard_3-2-1_093084_2021-12-17_final
2021-12-20 08:14:15	ga_ls7e_ard_3-2-1_091082_2021-12-19_final
2021-12-29 09:40:52	ga_ls7e_ard_3-2-1_106069_2021-12-29_final
2021-12-29 09:44:27	ga_ls7e_ard_3-2-1_106078_2021-12-29_final
2021-12-30 10:28:48	ga_ls7e_ard_3-2-1_113081_2021-12-30_final
2022-01-13 08:59:20	ga_ls7e_ard_3-2-1_099077_2022-01-12_final
2022-02-14 08:56:09	ga_ls7e_ard_3-2-1_099077_2022-02-13_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-15 09:41:18	ga_ls7e_ard_3-2-1_106082_2022-02-15_final
2022-02-16 10:24:27	ga_ls7e_ard_3-2-1_113082_2022-02-16_final
2022-03-03 09:36:59	ga_ls7e_ard_3-2-1_106075_2022-03-03_final
2022-03-08 09:54:38	ga_ls7e_ard_3-2-1_109074_2022-03-08_final
2022-03-12 07:55:01	ga_ls7e_ard_3-2-1_089085_2022-03-11_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