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
1999-11-02 09:45:16	ga_ls7e_ard_3-0-0_095087_1999-11-02_final
2000-01-17 11:45:12	ga_ls7e_ard_3-0-0_115078_2000-01-17_final
2000-08-28 11:42:32	ga_ls7e_ard_3-0-0_115076_2000-08-28_final
2002-04-12 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-04-12_final
2002-04-28 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-04-28_final
2003-01-29 09:34:54	ga_ls7e_ard_3-0-0_095072_2003-01-29_final
2003-02-14 09:39:04	ga_ls7e_ard_3-0-0_095082_2003-02-14_final
2004-04-05 09:41:14	ga_ls7e_ard_3-0-0_095086_2004-04-05_final
2004-08-23 11:41:35	ga_ls7e_ard_3-0-0_115079_2004-08-23_final
2005-04-20 11:41:31	ga_ls7e_ard_3-1-0_115077_2005-04-20_final
2006-06-10 11:42:01	ga_ls7e_ard_3-0-0_115077_2006-06-10_final
2006-09-18 09:41:31	ga_ls7e_ard_3-0-0_095086_2006-09-18_final
2006-11-05 09:39:24	ga_ls7e_ard_3-0-0_095080_2006-11-05_final
2006-11-17 11:41:57	ga_ls7e_ard_3-1-0_115077_2006-11-17_final
2007-06-13 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-06-13_final
2007-10-23 09:37:05	ga_ls7e_ard_3-0-0_095074_2007-10-23_final
2008-01-27 09:38:20	ga_ls7e_ard_3-0-0_095076_2008-01-27_final
2008-04-28 11:42:05	ga_ls7e_ard_3-0-0_115077_2008-04-28_final
2008-06-03 09:36:15	ga_ls7e_ard_3-0-0_095072_2008-06-03_final
2008-11-10 09:40:16	ga_ls7e_ard_3-0-0_095084_2008-11-10_final
2009-01-25 11:42:09	ga_ls7e_ard_3-0-0_115078_2009-01-25_final
2009-05-21 09:36:51	ga_ls7e_ard_3-0-0_095072_2009-05-21_final
2010-09-25 11:44:41	ga_ls7e_ard_3-0-0_115078_2010-09-25_final
2011-09-16 09:45:16	ga_ls7e_ard_3-0-0_095086_2011-09-16_final
2012-03-25 09:01:16	ga_ls7e_ard_3-0-0_088082_2012-03-24_final
2013-03-25 11:48:27	ga_ls7e_ard_3-0-0_115078_2013-03-25_final
2013-04-29 09:02:39	ga_ls7e_ard_3-0-0_088081_2013-04-28_final
2013-04-30 09:47:54	ga_ls7e_ard_3-0-0_095086_2013-04-30_final
2013-11-08 09:46:57	ga_ls7e_ard_3-0-0_095083_2013-11-08_final
2014-04-17 09:47:54	ga_ls7e_ard_3-0-0_095083_2014-04-17_final
2014-10-22 11:49:41	ga_ls7e_ard_3-0-0_115076_2014-10-22_final
2015-07-25 09:48:33	ga_ls7e_ard_3-0-0_095078_2015-07-25_final
2015-10-13 09:46:34	ga_ls7e_ard_3-0-0_095072_2015-10-13_final
2015-10-29 09:47:13	ga_ls7e_ard_3-1-0_095073_2015-10-29_final
2015-12-16 09:53:11	ga_ls7e_ard_3-0-0_095086_2015-12-16_final
2016-01-17 09:50:51	ga_ls7e_ard_3-1-0_095079_2016-01-17_final
2016-05-04 11:55:11	ga_ls7e_ard_3-0-0_115079_2016-05-04_final
2016-08-24 11:54:16	ga_ls7e_ard_3-0-0_115076_2016-08-24_final
2017-12-01 11:54:06	ga_ls7e_ard_3-0-0_115076_2017-12-01_final
2018-04-24 11:52:59	ga_ls7e_ard_3-0-0_115078_2018-04-24_final
2018-08-18 09:50:06	ga_ls7e_ard_3-0-0_095085_2018-08-18_final
2019-11-05 11:36:30	ga_ls7e_ard_3-1-0_115079_2019-11-05_final
2019-12-07 11:33:23	ga_ls7e_ard_3-1-0_115075_2019-12-07_final
2019-12-11 09:32:22	ga_ls7e_ard_3-1-0_095082_2019-12-11_final
2019-12-11 09:32:46	ga_ls7e_ard_3-1-0_095083_2019-12-11_final
2021-02-12 08:33:22	ga_ls7e_ard_3-2-0_090078_2021-02-11_final
2021-02-25 09:41:57	ga_ls7e_ard_3-2-0_101082_2021-02-25_final
2021-03-05 10:26:47	ga_ls7e_ard_3-2-0_109072_2021-03-05_final
2021-03-20 09:46:19	ga_ls7e_ard_3-2-0_102082_2021-03-20_final
2021-04-06 10:25:00	ga_ls7e_ard_3-2-0_109074_2021-04-06_final
2021-04-22 10:24:27	ga_ls7e_ard_3-2-0_109076_2021-04-22_final
2021-05-01 10:20:18	ga_ls7e_ard_3-2-0_108083_2021-05-01_final
2021-05-07 09:42:20	ga_ls7e_ard_3-2-0_102082_2021-05-07_final
2021-05-08 10:25:54	ga_ls7e_ard_3-2-0_109083_2021-05-08_final
2021-05-24 10:24:33	ga_ls7e_ard_3-2-0_109083_2021-05-24_final
2021-05-27 10:54:00	ga_ls7e_ard_3-2-0_114080_2021-05-27_final
2021-06-23 10:34:02	ga_ls7e_ard_3-2-0_111082_2021-06-23_final
2021-06-27 10:06:11	ga_ls7e_ard_3-2-0_107075_2021-06-27_final
2021-07-04 10:10:59	ga_ls7e_ard_3-2-0_108073_2021-07-04_final
2021-07-05 09:13:41	ga_ls7e_ard_3-2-0_099069_2021-07-04_final
2021-07-25 08:48:26	ga_ls7e_ard_3-2-0_095072_2021-07-24_final
2021-07-25 10:32:06	ga_ls7e_ard_3-2-0_111084_2021-07-25_final
2021-08-02 09:41:10	ga_ls7e_ard_3-2-0_103082_2021-08-02_final
2021-08-10 10:27:54	ga_ls7e_ard_3-2-0_111077_2021-08-10_final
2021-08-13 09:22:03	ga_ls7e_ard_3-2-0_100083_2021-08-12_final
2021-08-31 09:08:32	ga_ls7e_ard_3-2-0_098084_2021-08-30_final
2021-09-01 08:13:13	ga_ls7e_ard_3-2-0_089085_2021-08-31_final
2021-09-07 09:08:07	ga_ls7e_ard_3-2-0_099069_2021-09-06_final
2021-09-08 09:51:17	ga_ls7e_ard_3-2-0_106069_2021-09-08_final
2021-09-13 10:12:10	ga_ls7e_ard_3-2-0_109076_2021-09-13_final
2021-09-23 09:11:05	ga_ls7e_ard_3-2-0_099080_2021-09-22_final
2021-09-26 09:41:42	ga_ls7e_ard_3-2-0_104080_2021-09-26_final
2021-09-28 09:27:10	ga_ls7e_ard_3-2-0_102075_2021-09-27_final
2021-09-30 09:17:49	ga_ls7e_ard_3-2-0_100083_2021-09-29_final
2021-10-03 08:10:47	ga_ls7e_ard_3-2-0_089086_2021-10-02_final
2021-10-06 08:33:50	ga_ls7e_ard_3-2-0_094067_2021-10-05_final
2021-10-06 10:15:31	ga_ls7e_ard_3-2-0_110074_2021-10-06_final
2021-10-09 09:05:40	ga_ls7e_ard_3-2-0_099070_2021-10-08_final
2021-10-13 08:41:48	ga_ls7e_ard_3-2-0_095073_2021-10-12_final
2021-11-02 09:55:19	ga_ls7e_ard_3-2-0_107076_2021-11-02_final
2021-11-15 09:19:59	ga_ls7e_ard_3-2-1_102068_2021-11-14_final
2021-11-16 08:28:15	ga_ls7e_ard_3-2-1_093078_2021-11-15_final
2021-11-28 08:49:26	ga_ls7e_ard_3-2-1_097072_2021-11-27_final
2021-12-04 09:49:52	ga_ls7e_ard_3-2-1_107070_2021-12-04_final
2021-12-05 08:53:21	ga_ls7e_ard_3-2-1_098068_2021-12-04_final
2021-12-09 10:10:44	ga_ls7e_ard_3-2-1_110077_2021-12-09_final
2021-12-13 09:43:14	ga_ls7e_ard_3-2-1_106071_2021-12-13_final
2021-12-24 09:26:01	ga_ls7e_ard_3-2-1_103077_2021-12-23_final
2021-12-25 10:07:11	ga_ls7e_ard_3-2-1_110072_2021-12-25_final
2021-12-28 10:38:35	ga_ls7e_ard_3-2-1_115074_2021-12-28_final
2022-01-03 08:27:12	ga_ls7e_ard_3-2-1_093087_2022-01-02_final
2022-01-10 10:06:48	ga_ls7e_ard_3-2-1_110075_2022-01-10_final
2022-01-12 09:52:39	ga_ls7e_ard_3-2-1_108071_2022-01-12_final
2022-02-04 08:24:06	ga_ls7e_ard_3-2-1_093087_2022-02-03_final
2022-02-06 08:08:45	ga_ls7e_ard_3-2-1_091080_2022-02-05_final
2022-02-16 10:21:16	ga_ls7e_ard_3-2-1_113074_2022-02-16_final
2022-03-05 09:21:38	ga_ls7e_ard_3-2-1_104068_2022-03-04_final
2022-03-13 08:38:34	ga_ls7e_ard_3-2-1_096086_2022-03-12_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_2022-04-01_final
2022-04-03 08:54:17	ga_ls7e_ard_3-2-1_099084_2022-04-02_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