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
1999-07-09 11:45:11	ga_ls7e_ard_3-0-0_115078_1999-07-09_final
1999-08-17 11:51:26	ga_ls7e_ard_3-0-0_116078_1999-08-17_final
1999-09-18 11:51:26	ga_ls7e_ard_3-0-0_116078_1999-09-18_final
1999-12-23 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-12-23_final
2001-01-03 11:42:23	ga_ls7e_ard_3-1-0_115077_2001-01-03_final
2001-07-14 11:41:21	ga_ls7e_ard_3-0-0_115077_2001-07-14_final
2004-05-03 11:41:58	ga_ls7e_ard_3-0-0_115079_2004-05-03_final
2007-01-20 11:43:03	ga_ls7e_ard_3-0-0_115079_2007-01-20_final
2007-07-24 11:36:47	ga_ls7e_ard_3-0-0_114079_2007-07-24_final
2008-12-24 11:40:22	ga_ls7e_ard_3-0-0_115074_2008-12-24_final
2009-01-02 11:36:38	ga_ls7e_ard_3-0-0_114080_2009-01-02_final
2009-01-18 11:36:20	ga_ls7e_ard_3-0-0_114079_2009-01-18_final
2009-02-10 11:40:40	ga_ls7e_ard_3-0-0_115074_2009-02-10_final
2009-07-04 11:41:11	ga_ls7e_ard_3-0-0_115074_2009-07-04_final
2009-08-30 11:36:24	ga_ls7e_ard_3-0-0_114078_2009-08-30_final
2010-01-12 11:42:16	ga_ls7e_ard_3-0-0_115074_2010-01-12_final
2010-02-06 11:38:02	ga_ls7e_ard_3-0-0_114078_2010-02-06_final
2010-04-02 11:43:01	ga_ls7e_ard_3-0-0_115074_2010-04-02_final
2010-05-04 11:42:59	ga_ls7e_ard_3-0-0_115074_2010-05-04_final
2010-05-13 11:38:45	ga_ls7e_ard_3-0-0_114079_2010-05-13_final
2011-03-13 11:38:59	ga_ls7e_ard_3-0-0_114076_2011-03-13_final
2011-04-14 11:41:02	ga_ls7e_ard_3-0-0_114081_2011-04-14_final
2011-06-24 11:44:21	ga_ls7e_ard_3-0-0_115074_2011-06-24_final
2012-11-10 11:42:54	ga_ls7e_ard_3-0-0_114080_2012-11-10_final
2012-11-17 11:48:46	ga_ls7e_ard_3-0-0_115079_2012-11-17_final
2013-03-25 11:47:39	ga_ls7e_ard_3-0-0_115076_2013-03-25_final
2013-10-19 11:47:15	ga_ls7e_ard_3-0-0_115075_2013-10-19_final
2015-12-05 11:48:01	ga_ls7e_ard_3-0-0_114080_2015-12-05_final
2016-11-12 11:53:23	ga_ls7e_ard_3-0-0_115074_2016-11-12_final
2017-10-07 11:48:50	ga_ls7e_ard_3-0-0_114078_2017-10-07_final
2018-05-26 11:52:51	ga_ls7e_ard_3-0-0_115079_2018-05-26_final
2019-05-13 11:42:50	ga_ls7e_ard_3-1-0_115077_2019-05-13_final
2019-10-29 11:31:02	ga_ls7e_ard_3-1-0_114080_2019-10-29_final
2020-08-03 11:20:42	ga_ls7e_ard_3-1-0_115077_2020-08-03_final
2020-08-28 11:14:07	ga_ls7e_ard_3-1-0_114080_2020-08-28_final
2020-12-01 08:46:26	ga_ls7e_ard_3-1-0_091082_2020-11-30_final
2020-12-14 09:50:15	ga_ls7e_ard_3-1-0_102074_2020-12-14_final
2020-12-17 08:47:14	ga_ls7e_ard_3-1-0_091087_2020-12-16_final
2020-12-18 11:04:30	ga_ls7e_ard_3-1-0_114075_2020-12-18_final
2020-12-25 09:30:29	ga_ls7e_ard_3-1-0_099073_2020-12-25_final
2020-12-26 10:15:41	ga_ls7e_ard_3-1-0_106078_2020-12-26_final
2021-01-03 11:03:46	ga_ls7e_ard_3-1-0_114076_2021-01-03_final
2021-01-10 09:30:59	ga_ls7e_ard_3-1-0_099077_2021-01-10_final
2021-01-14 10:47:39	ga_ls7e_ard_3-1-0_111084_2021-01-14_final
2021-01-20 08:32:04	ga_ls7e_ard_3-2-0_089086_2021-01-19_final
2021-01-28 09:18:32	ga_ls7e_ard_3-2-0_097080_2021-01-27_final
2021-02-06 10:49:22	ga_ls7e_ard_3-2-0_112077_2021-02-06_final
2021-02-27 11:07:07	ga_ls7e_ard_3-2-0_115079_2021-02-27_final
2021-03-08 09:21:45	ga_ls7e_ard_3-2-0_098080_2021-03-07_final
2021-03-12 08:59:07	ga_ls7e_ard_3-2-0_094086_2021-03-11_final
2021-03-24 09:16:06	ga_ls7e_ard_3-2-0_098069_2021-03-23_final
2021-03-25 08:23:59	ga_ls7e_ard_3-2-0_089078_2021-03-24_final
2021-04-07 09:28:06	ga_ls7e_ard_3-2-0_100071_2021-04-06_final
2021-04-08 10:12:29	ga_ls7e_ard_3-2-0_107074_2021-04-08_final
2021-04-20 10:40:11	ga_ls7e_ard_3-2-0_111084_2021-04-20_final
2021-04-22 08:48:46	ga_ls7e_ard_3-2-0_093084_2021-04-21_final
2021-04-26 09:56:12	ga_ls7e_ard_3-2-0_105068_2021-04-26_final
2021-05-06 10:33:39	ga_ls7e_ard_3-2-0_111071_2021-05-06_final
2021-05-11 09:16:05	ga_ls7e_ard_3-2-0_098079_2021-05-10_final
2021-05-17 10:15:47	ga_ls7e_ard_3-2-0_108075_2021-05-17_final
2021-05-27 09:11:32	ga_ls7e_ard_3-2-0_098071_2021-05-26_final
2021-05-28 09:59:05	ga_ls7e_ard_3-2-0_105082_2021-05-28_final
2021-05-31 10:28:32	ga_ls7e_ard_3-2-0_110079_2021-05-31_final
2021-06-10 09:22:43	ga_ls7e_ard_3-2-0_100071_2021-06-09_final
2021-06-11 08:30:13	ga_ls7e_ard_3-2-0_091079_2021-06-10_final
2021-06-27 08:30:06	ga_ls7e_ard_3-2-0_091082_2021-06-26_final
2021-07-02 10:24:18	ga_ls7e_ard_3-2-0_110075_2021-07-02_final
2021-07-18 08:43:16	ga_ls7e_ard_3-2-0_094073_2021-07-17_final
2021-08-05 08:34:07	ga_ls7e_ard_3-2-0_092085_2021-08-04_final
2021-08-12 10:12:34	ga_ls7e_ard_3-2-0_109070_2021-08-12_final
2021-09-03 09:34:23	ga_ls7e_ard_3-2-0_103072_2021-09-03_final
2021-09-07 09:07:19	ga_ls7e_ard_3-2-0_099067_2021-09-06_final
2021-09-13 10:15:22	ga_ls7e_ard_3-2-0_109084_2021-09-13_final
2021-09-16 10:42:00	ga_ls7e_ard_3-2-0_114074_2021-09-16_final
2021-09-22 10:07:59	ga_ls7e_ard_3-2-0_108083_2021-09-22_final
2021-10-03 09:47:40	ga_ls7e_ard_3-2-0_105081_2021-10-03_final
2021-10-18 09:01:29	ga_ls7e_ard_3-2-0_098077_2021-10-17_final
2021-10-24 10:00:21	ga_ls7e_ard_3-2-0_108071_2021-10-24_final
2021-10-26 09:46:36	ga_ls7e_ard_3-2-0_106068_2021-10-26_final
2021-10-26 09:49:24	ga_ls7e_ard_3-2-0_106075_2021-10-26_final
2021-11-03 08:56:25	ga_ls7e_ard_3-2-0_098068_2021-11-02_final
2021-11-05 10:25:09	ga_ls7e_ard_3-2-0_112074_2021-11-05_final
2021-11-16 10:07:56	ga_ls7e_ard_3-2-1_109080_2021-11-16_final
2021-11-26 09:01:58	ga_ls7e_ard_3-2-1_099072_2021-11-25_final
2021-11-28 08:51:49	ga_ls7e_ard_3-2-1_097078_2021-11-27_final
2021-12-08 09:25:10	ga_ls7e_ard_3-2-1_103071_2021-12-07_final
2021-12-08 09:29:10	ga_ls7e_ard_3-2-1_103081_2021-12-07_final
2021-12-12 09:00:04	ga_ls7e_ard_3-2-1_099071_2021-12-11_final
2021-12-12 10:40:09	ga_ls7e_ard_3-2-1_115074_2021-12-12_final
2022-01-05 08:13:02	ga_ls7e_ard_3-2-1_091083_2022-01-04_final
2022-01-18 09:17:48	ga_ls7e_ard_3-2-1_102078_2022-01-17_final
2022-01-19 10:03:22	ga_ls7e_ard_3-2-1_109084_2022-01-19_final
2022-01-21 08:14:20	ga_ls7e_ard_3-2-1_091090_2022-01-20_final
2022-01-31 10:26:06	ga_ls7e_ard_3-2-1_113082_2022-01-31_final
2022-02-10 09:17:42	ga_ls7e_ard_3-2-1_103068_2022-02-09_final
2022-02-23 10:27:35	ga_ls7e_ard_3-2-1_114076_2022-02-23_final
2022-03-04 10:20:08	ga_ls7e_ard_3-2-1_113075_2022-03-04_final
2022-03-06 10:10:23	ga_ls7e_ard_3-2-1_111082_2022-03-06_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years