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
1999-10-22 11:39:27	ga_ls7e_ard_3-0-0_114079_1999-10-22_final
1999-11-07 11:39:08	ga_ls7e_ard_3-0-0_114078_1999-11-07_final
1999-12-04 09:42:50	ga_ls7e_ard_3-0-0_095081_1999-12-04_final
2000-01-10 11:40:16	ga_ls7e_ard_3-0-0_114081_2000-01-10_final
2000-04-10 09:42:46	ga_ls7e_ard_3-0-0_095082_2000-04-10_final
2000-04-10 09:44:21	ga_ls7e_ard_3-0-0_095086_2000-04-10_final
2000-08-05 11:38:09	ga_ls7e_ard_3-0-0_114080_2000-08-05_final
2000-10-31 11:42:22	ga_ls7e_ard_3-0-0_115077_2000-10-31_final
2000-11-04 09:37:57	ga_ls7e_ard_3-0-0_095075_2000-11-04_final
2000-11-25 11:36:57	ga_ls7e_ard_3-0-0_114079_2000-11-25_final
2001-01-07 09:40:26	ga_ls7e_ard_3-0-0_095081_2001-01-07_final
2001-04-13 09:42:30	ga_ls7e_ard_3-0-0_095087_2001-04-13_final
2001-08-31 11:40:18	ga_ls7e_ard_3-0-0_115076_2001-08-31_final
2001-09-20 09:39:38	ga_ls7e_ard_3-0-0_095084_2001-09-20_final
2002-01-10 09:39:33	ga_ls7e_ard_3-0-0_095083_2002-01-10_final
2002-02-27 09:33:22	ga_ls7e_ard_3-0-0_095067_2002-02-27_final
2002-04-16 09:36:22	ga_ls7e_ard_3-0-0_095075_2002-04-16_final
2002-09-03 11:38:48	ga_ls7e_ard_3-0-0_115074_2002-09-03_final
2003-03-18 09:38:18	ga_ls7e_ard_3-0-0_095080_2003-03-18_final
2003-04-03 09:40:43	ga_ls7e_ard_3-0-0_095086_2003-04-03_final
2003-04-15 11:39:34	ga_ls7e_ard_3-0-0_115074_2003-04-15_final
2003-05-01 11:39:34	ga_ls7e_ard_3-0-0_115074_2003-05-01_final
2003-09-26 09:36:11	ga_ls7e_ard_3-0-0_095076_2003-09-26_final
2003-10-28 09:36:00	ga_ls7e_ard_3-0-0_095075_2003-10-28_final
2004-11-15 09:40:56	ga_ls7e_ard_3-0-0_095086_2004-11-15_final
2005-06-11 09:38:16	ga_ls7e_ard_3-0-0_095078_2005-06-11_final
2006-06-30 09:37:07	ga_ls7e_ard_3-0-0_095074_2006-06-30_final
2007-01-08 09:38:13	ga_ls7e_ard_3-0-0_095076_2007-01-08_final
2007-04-14 09:41:18	ga_ls7e_ard_3-0-0_095083_2007-04-14_final
2007-07-19 09:40:11	ga_ls7e_ard_3-0-0_095081_2007-07-19_final
2007-11-08 09:39:15	ga_ls7e_ard_3-1-0_095079_2007-11-08_final
2008-08-18 11:41:09	ga_ls7e_ard_3-1-0_115077_2008-08-18_final
2012-02-23 09:44:08	ga_ls7e_ard_3-0-0_095081_2012-02-23_final
2012-04-11 09:45:38	ga_ls7e_ard_3-0-0_095085_2012-04-11_final
2012-06-30 09:44:33	ga_ls7e_ard_3-0-0_095081_2012-06-30_final
2013-07-03 09:46:18	ga_ls7e_ard_3-0-0_095083_2013-07-03_final
2013-09-17 11:47:40	ga_ls7e_ard_3-1-0_115077_2013-09-17_final
2013-12-26 09:43:12	ga_ls7e_ard_3-1-0_095073_2013-12-26_final
2014-10-22 11:50:04	ga_ls7e_ard_3-1-0_115077_2014-10-22_final
2014-11-27 09:48:19	ga_ls7e_ard_3-0-0_095081_2014-11-27_final
2014-12-13 09:45:39	ga_ls7e_ard_3-0-0_095074_2014-12-13_final
2014-12-13 09:49:38	ga_ls7e_ard_3-0-0_095084_2014-12-13_final
2015-02-04 11:44:31	ga_ls7e_ard_3-0-0_114077_2015-02-04_final
2015-05-27 11:46:53	ga_ls7e_ard_3-0-0_114081_2015-05-27_final
2015-07-25 09:46:33	ga_ls7e_ard_3-1-0_095073_2015-07-25_final
2017-09-05 11:48:50	ga_ls7e_ard_3-0-0_114078_2017-09-05_final
2018-01-27 11:48:24	ga_ls7e_ard_3-0-0_114079_2018-01-27_final
2019-07-09 11:35:20	ga_ls7e_ard_3-0-0_114079_2019-07-09_final
2019-07-25 11:34:18	ga_ls7e_ard_3-0-0_114078_2019-07-25_final
2019-08-05 09:34:50	ga_ls7e_ard_3-0-0_095074_2019-08-05_final
2019-11-14 11:30:18	ga_ls7e_ard_3-1-0_114080_2019-11-14_final
2019-11-25 09:30:22	ga_ls7e_ard_3-1-0_095075_2019-11-25_final
2020-07-06 09:18:26	ga_ls7e_ard_3-1-0_095076_2020-07-05_final
2020-12-02 11:07:18	ga_ls7e_ard_3-1-0_114079_2020-12-02_final
2021-02-15 10:44:31	ga_ls7e_ard_3-2-0_111082_2021-02-15_final
2021-02-19 10:17:30	ga_ls7e_ard_3-2-0_107077_2021-02-19_final
2021-02-22 09:09:41	ga_ls7e_ard_3-2-0_096078_2021-02-21_final
2021-02-24 08:57:58	ga_ls7e_ard_3-2-0_094080_2021-02-23_final
2021-03-12 08:58:43	ga_ls7e_ard_3-2-0_094085_2021-03-11_final
2021-04-04 10:38:43	ga_ls7e_ard_3-2-0_111077_2021-04-04_final
2021-04-11 10:43:31	ga_ls7e_ard_3-2-0_112075_2021-04-11_final
2021-04-18 10:51:55	ga_ls7e_ard_3-2-0_113082_2021-04-18_final
2021-04-22 08:48:46	ga_ls7e_ard_3-2-0_093084_2021-04-21_final
2021-04-28 09:46:04	ga_ls7e_ard_3-2-0_103074_2021-04-28_final
2021-05-26 08:31:09	ga_ls7e_ard_3-2-0_091078_2021-05-25_final
2021-06-05 09:09:23	ga_ls7e_ard_3-2-0_097083_2021-06-04_final
2021-06-07 10:34:32	ga_ls7e_ard_3-2-0_111080_2021-06-07_final
2021-06-29 09:51:40	ga_ls7e_ard_3-2-0_105070_2021-06-29_final
2021-06-30 10:36:50	ga_ls7e_ard_3-2-0_112075_2021-06-30_final
2021-07-07 10:43:13	ga_ls7e_ard_3-2-0_113077_2021-07-07_final
2021-07-11 10:19:45	ga_ls7e_ard_3-2-0_109081_2021-07-11_final
2021-07-13 08:27:33	ga_ls7e_ard_3-2-0_091079_2021-07-12_final
2021-07-16 08:58:11	ga_ls7e_ard_3-2-0_096079_2021-07-15_final
2021-07-25 08:52:50	ga_ls7e_ard_3-2-0_095083_2021-07-24_final
2021-08-03 10:21:57	ga_ls7e_ard_3-2-0_110076_2021-08-03_final
2021-08-14 10:05:37	ga_ls7e_ard_3-2-0_107084_2021-08-14_final
2021-08-22 09:11:29	ga_ls7e_ard_3-2-0_099074_2021-08-21_final
2021-08-29 09:17:04	ga_ls7e_ard_3-2-0_100074_2021-08-28_final
2021-09-02 10:32:53	ga_ls7e_ard_3-2-0_112079_2021-09-02_final
2021-09-06 10:08:36	ga_ls7e_ard_3-2-0_108081_2021-09-06_final
2021-09-18 08:49:24	ga_ls7e_ard_3-2-0_096071_2021-09-17_final
2021-09-18 08:52:11	ga_ls7e_ard_3-2-0_096078_2021-09-17_final
2021-09-24 09:54:15	ga_ls7e_ard_3-2-0_106080_2021-09-24_final
2021-10-04 08:51:34	ga_ls7e_ard_3-2-0_096080_2021-10-03_final
2021-10-12 09:38:18	ga_ls7e_ard_3-2-0_104075_2021-10-12_final
2021-10-18 09:03:05	ga_ls7e_ard_3-2-0_098081_2021-10-17_final
2021-10-19 09:45:27	ga_ls7e_ard_3-2-0_105079_2021-10-19_final
2021-10-20 08:50:32	ga_ls7e_ard_3-2-0_096081_2021-10-19_final
2021-10-24 10:02:20	ga_ls7e_ard_3-2-0_108076_2021-10-24_final
2021-10-29 08:43:32	ga_ls7e_ard_3-2-0_095081_2021-10-28_final
2021-11-08 09:17:40	ga_ls7e_ard_3-2-0_101076_2021-11-07_final
2021-11-28 10:29:30	ga_ls7e_ard_3-2-1_113075_2021-11-28_final
2021-12-19 09:06:46	ga_ls7e_ard_3-2-1_100074_2021-12-18_final
2021-12-23 08:43:15	ga_ls7e_ard_3-2-1_096078_2021-12-22_final
2022-01-02 09:18:32	ga_ls7e_ard_3-2-1_102076_2022-01-01_final
2022-02-05 09:04:52	ga_ls7e_ard_3-2-1_100081_2022-02-04_final
2022-03-01 08:11:51	ga_ls7e_ard_3-2-1_092078_2022-02-28_final
2022-03-10 09:44:28	ga_ls7e_ard_3-2-1_107080_2022-03-10_final
2022-03-21 09:21:14	ga_ls7e_ard_3-2-1_104071_2022-03-20_final
2022-03-21 09:24:02	ga_ls7e_ard_3-2-1_104078_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years