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
1999-08-13 10:34:07	ga_ls7e_ard_3-1-0_104070_1999-08-13_final
1999-09-14 10:34:04	ga_ls7e_ard_3-1-0_104070_1999-09-14_final
1999-12-03 10:34:03	ga_ls7e_ard_3-1-0_104070_1999-12-03_final
2000-05-11 10:33:21	ga_ls7e_ard_3-1-0_104070_2000-05-11_final
2000-06-12 10:33:05	ga_ls7e_ard_3-1-0_104070_2000-06-12_final
2001-04-28 10:31:18	ga_ls7e_ard_3-1-0_104070_2001-04-28_final
2001-11-22 10:29:46	ga_ls7e_ard_3-1-0_104070_2001-11-22_final
2001-12-08 10:29:47	ga_ls7e_ard_3-1-0_104070_2001-12-08_final
2001-12-21 10:01:00	ga_ls7e_ard_3-1-0_099075_2001-12-21_final
2002-01-09 10:29:59	ga_ls7e_ard_3-1-0_104070_2002-01-09_final
2002-04-15 10:30:01	ga_ls7e_ard_3-1-0_104070_2002-04-15_final
2002-12-14 09:26:41	ga_ls7e_ard_3-1-0_093083_2002-12-13_final
2003-10-27 10:33:12	ga_ls7e_ard_3-1-0_104079_2003-10-27_final
2003-11-16 10:09:29	ga_ls7e_ard_3-1-0_100081_2003-11-16_final
2006-02-24 09:28:31	ga_ls7e_ard_3-1-0_093083_2006-02-23_final
2007-07-06 10:11:07	ga_ls7e_ard_3-1-0_100081_2007-07-06_final
2007-08-19 10:31:14	ga_ls7e_ard_3-1-0_104070_2007-08-19_final
2008-02-15 10:11:10	ga_ls7e_ard_3-1-0_100081_2008-02-15_final
2008-03-01 09:22:39	ga_ls7e_ard_3-1-0_093068_2008-02-29_final
2008-03-30 10:31:22	ga_ls7e_ard_3-1-0_104070_2008-03-30_final
2008-12-11 10:30:41	ga_ls7e_ard_3-1-0_104070_2008-12-11_final
2009-03-17 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-03-17_final
2009-05-20 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-05-20_final
2009-07-07 10:31:35	ga_ls7e_ard_3-1-0_104070_2009-07-07_final
2010-02-16 10:33:09	ga_ls7e_ard_3-1-0_104070_2010-02-16_final
2010-03-20 10:33:23	ga_ls7e_ard_3-1-0_104070_2010-03-20_final
2011-01-18 10:34:32	ga_ls7e_ard_3-1-0_104070_2011-01-18_final
2011-03-26 09:32:00	ga_ls7e_ard_3-1-0_093083_2011-03-26_final
2011-06-30 09:29:57	ga_ls7e_ard_3-1-0_093078_2011-06-29_final
2011-08-17 09:29:50	ga_ls7e_ard_3-1-0_093078_2011-08-16_final
2012-02-09 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-02-09_final
2012-12-22 10:37:22	ga_ls7e_ard_3-1-0_104070_2012-12-22_final
2013-09-04 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-09-04_final
2014-01-10 10:37:40	ga_ls7e_ard_3-1-0_104070_2014-01-10_final
2014-09-23 10:38:58	ga_ls7e_ard_3-1-0_104070_2014-09-23_final
2015-07-24 10:40:59	ga_ls7e_ard_3-1-0_104070_2015-07-24_final
2015-08-25 10:41:04	ga_ls7e_ard_3-1-0_104070_2015-08-25_final
2015-10-12 10:41:22	ga_ls7e_ard_3-1-0_104070_2015-10-12_final
2015-11-16 09:39:09	ga_ls7e_ard_3-1-0_093083_2015-11-16_final
2016-02-21 10:22:46	ga_ls7e_ard_3-1-0_100081_2016-02-21_final
2016-12-01 10:43:44	ga_ls7e_ard_3-1-0_104070_2016-12-01_final
2017-03-23 10:43:26	ga_ls7e_ard_3-1-0_104070_2017-03-23_final
2017-06-27 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-06-27_final
2017-08-14 10:43:50	ga_ls7e_ard_3-1-0_104070_2017-08-14_final
2017-08-14 10:47:25	ga_ls7e_ard_3-1-0_104079_2017-08-14_final
2018-01-05 10:45:20	ga_ls7e_ard_3-1-0_104075_2018-01-05_final
2018-01-05 10:46:56	ga_ls7e_ard_3-1-0_104079_2018-01-05_final
2018-06-14 10:40:57	ga_ls7e_ard_3-1-0_104070_2018-06-14_final
2018-09-21 09:36:13	ga_ls7e_ard_3-1-0_093083_2018-09-21_final
2018-10-04 10:38:42	ga_ls7e_ard_3-1-0_104070_2018-10-04_final
2018-12-07 10:37:11	ga_ls7e_ard_3-1-0_104070_2018-12-07_final
2019-02-22 10:08:20	ga_ls7e_ard_3-1-0_099081_2019-02-22_final
2019-02-25 10:35:09	ga_ls7e_ard_3-1-0_104071_2019-02-25_final
2019-02-25 10:37:09	ga_ls7e_ard_3-1-0_104076_2019-02-25_final
2019-02-28 09:29:52	ga_ls7e_ard_3-1-0_093078_2019-02-27_final
2019-03-13 10:34:39	ga_ls7e_ard_3-1-0_104071_2019-03-13_final
2019-03-16 09:30:57	ga_ls7e_ard_3-1-0_093082_2019-03-16_final
2019-03-17 10:11:23	ga_ls7e_ard_3-1-0_100075_2019-03-17_final
2019-03-29 10:33:19	ga_ls7e_ard_3-1-0_104069_2019-03-29_final
2019-09-05 10:29:57	ga_ls7e_ard_3-1-0_104076_2019-09-05_final
2019-09-09 10:04:15	ga_ls7e_ard_3-1-0_100074_2019-09-09_final
2019-09-21 10:27:38	ga_ls7e_ard_3-1-0_104072_2019-09-21_final
2019-09-21 10:29:14	ga_ls7e_ard_3-1-0_104076_2019-09-21_final
2019-09-21 10:31:14	ga_ls7e_ard_3-1-0_104081_2019-09-21_final
2019-09-24 09:20:19	ga_ls7e_ard_3-1-0_093074_2019-09-23_final
2019-09-26 10:45:58	ga_ls7e_ard_3-1-0_107072_2019-09-26_final
2019-09-26 10:48:21	ga_ls7e_ard_3-1-0_107078_2019-09-26_final
2019-10-07 10:26:34	ga_ls7e_ard_3-1-0_104071_2019-10-07_final
2019-10-10 09:22:04	ga_ls7e_ard_3-1-0_093080_2019-10-09_final
2019-10-11 10:02:29	ga_ls7e_ard_3-1-0_100073_2019-10-11_final
2019-10-20 09:56:43	ga_ls7e_ard_3-1-0_099075_2019-10-20_final
2019-10-23 10:25:30	ga_ls7e_ard_3-1-0_104070_2019-10-23_final
2019-11-05 09:55:13	ga_ls7e_ard_3-1-0_099073_2019-11-05_final
2019-11-11 09:18:16	ga_ls7e_ard_3-1-0_093074_2019-11-10_final
2019-12-07 09:53:42	ga_ls7e_ard_3-1-0_099073_2019-12-07_final
2019-12-13 09:18:19	ga_ls7e_ard_3-1-0_093078_2019-12-12_final
2019-12-15 10:46:20	ga_ls7e_ard_3-1-0_107082_2019-12-15_final
2019-12-30 09:59:54	ga_ls7e_ard_3-1-0_100076_2019-12-30_final
2020-01-14 09:17:29	ga_ls7e_ard_3-1-0_093080_2020-01-13_final
2020-01-14 09:20:40	ga_ls7e_ard_3-1-0_093088_2020-01-13_final
2020-01-30 09:15:29	ga_ls7e_ard_3-1-0_093077_2020-01-29_final
2020-01-30 09:17:29	ga_ls7e_ard_3-1-0_093082_2020-01-29_final
2020-02-01 10:41:54	ga_ls7e_ard_3-1-0_107077_2020-02-01_final
2020-02-01 10:43:30	ga_ls7e_ard_3-1-0_107081_2020-02-01_final
2020-02-12 10:20:48	ga_ls7e_ard_3-1-0_104072_2020-02-12_final
2020-02-28 10:22:46	ga_ls7e_ard_3-1-0_104079_2020-02-28_final
2020-03-15 10:18:18	ga_ls7e_ard_3-1-0_104070_2020-03-15_final
2020-03-18 09:16:32	ga_ls7e_ard_3-1-0_093086_2020-03-17_final
2020-03-28 09:48:40	ga_ls7e_ard_3-1-0_099075_2020-03-28_final
2020-04-05 10:36:28	ga_ls7e_ard_3-1-0_107072_2020-04-05_final
2020-04-05 10:36:52	ga_ls7e_ard_3-1-0_107073_2020-04-05_final
2020-04-16 10:19:17	ga_ls7e_ard_3-1-0_104077_2020-04-16_final
2020-04-19 09:10:44	ga_ls7e_ard_3-1-0_093076_2020-04-18_final
2020-04-19 09:12:43	ga_ls7e_ard_3-1-0_093081_2020-04-18_final
2020-04-21 10:35:32	ga_ls7e_ard_3-1-0_107072_2020-04-21_final
2020-04-21 10:35:56	ga_ls7e_ard_3-1-0_107073_2020-04-21_final
2022-03-17 08:11:27	ga_ls7e_ard_3-2-1_092081_2022-03-16_final
2022-03-22 10:08:00	ga_ls7e_ard_3-2-1_111080_2022-03-22_final
2022-03-29 08:34:38	ga_ls7e_ard_3-2-1_096080_2022-03-28_final
2022-04-03 08:49:54	ga_ls7e_ard_3-2-1_099073_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