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
2000-03-08 10:33:47	ga_ls7e_ard_3-1-0_104070_2000-03-08_final
2000-08-09 09:35:40	ga_ls7e_ard_3-1-0_094083_2000-08-09_final
2001-02-26 09:30:46	ga_ls7e_ard_3-1-0_093088_2001-02-26_final
2002-02-04 09:27:04	ga_ls7e_ard_3-1-0_094067_2002-02-03_final
2002-10-22 09:08:29	ga_ls7e_ard_3-1-0_090085_2002-10-21_final
2002-12-02 09:01:10	ga_ls7e_ard_3-1-0_089081_2002-12-01_final
2004-03-13 09:27:28	ga_ls7e_ard_3-1-0_094067_2004-03-12_final
2004-05-09 09:27:37	ga_ls7e_ard_3-1-0_093083_2004-05-08_final
2004-05-16 09:29:49	ga_ls7e_ard_3-1-0_094073_2004-05-15_final
2004-05-22 10:30:24	ga_ls7e_ard_3-1-0_104070_2004-05-22_final
2004-09-05 09:33:19	ga_ls7e_ard_3-1-0_094083_2004-09-05_final
2004-11-14 10:30:10	ga_ls7e_ard_3-1-0_104070_2004-11-14_final
2006-01-09 10:51:59	ga_ls7e_ard_3-1-0_107076_2006-01-09_final
2006-02-08 09:30:04	ga_ls7e_ard_3-1-0_093087_2006-02-08_final
2006-03-12 09:30:08	ga_ls7e_ard_3-1-0_093087_2006-03-12_final
2006-06-16 09:28:26	ga_ls7e_ard_3-1-0_093083_2006-06-15_final
2006-09-11 09:34:11	ga_ls7e_ard_3-1-0_094083_2006-09-11_final
2006-09-30 10:04:08	ga_ls7e_ard_3-1-0_099081_2006-09-30_final
2006-10-22 09:29:37	ga_ls7e_ard_3-1-0_093087_2006-10-21_final
2007-06-03 09:28:41	ga_ls7e_ard_3-1-0_093083_2007-06-02_final
2007-08-03 10:31:20	ga_ls7e_ard_3-1-0_104070_2007-08-03_final
2007-10-06 10:30:53	ga_ls7e_ard_3-1-0_104070_2007-10-06_final
2008-06-12 09:34:23	ga_ls7e_ard_3-1-0_094083_2008-06-12_final
2008-08-02 09:59:34	ga_ls7e_ard_3-1-0_099070_2008-08-02_final
2008-09-03 09:59:21	ga_ls7e_ard_3-1-0_099070_2008-09-03_final
2010-05-21 09:12:48	ga_ls7e_ard_3-1-0_090085_2010-05-20_final
2010-08-27 10:33:29	ga_ls7e_ard_3-1-0_104070_2010-08-27_final
2010-09-10 09:12:59	ga_ls7e_ard_3-1-0_090085_2010-09-09_final
2011-10-17 10:34:31	ga_ls7e_ard_3-1-0_104070_2011-10-17_final
2011-11-18 10:34:50	ga_ls7e_ard_3-1-0_104070_2011-11-18_final
2012-08-16 10:36:22	ga_ls7e_ard_3-1-0_104070_2012-08-16_final
2012-10-01 09:16:18	ga_ls7e_ard_3-1-0_090085_2012-09-30_final
2013-03-06 09:40:45	ga_ls7e_ard_3-1-0_094083_2013-03-06_final
2013-12-17 11:29:47	ga_ls7e_ard_3-1-0_112077_2013-12-17_final
2014-06-19 10:38:38	ga_ls7e_ard_3-1-0_104070_2014-06-19_final
2014-08-06 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-08-06_final
2014-09-21 09:18:25	ga_ls7e_ard_3-1-0_090085_2014-09-20_final
2014-10-25 10:39:19	ga_ls7e_ard_3-1-0_104070_2014-10-25_final
2016-01-14 09:21:06	ga_ls7e_ard_3-1-0_090082_2016-01-13_final
2016-08-11 10:43:51	ga_ls7e_ard_3-1-0_104070_2016-08-11_final
2017-03-31 11:38:30	ga_ls7e_ard_3-1-0_112084_2017-03-31_final
2017-08-30 10:43:50	ga_ls7e_ard_3-1-0_104070_2017-08-30_final
2017-10-17 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-10-17_final
2017-11-02 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-11-02_final
2018-01-29 11:38:00	ga_ls7e_ard_3-1-0_112084_2018-01-29_final
2018-05-27 09:20:44	ga_ls7e_ard_3-1-0_090085_2018-05-26_final
2018-05-29 10:41:14	ga_ls7e_ard_3-1-0_104070_2018-05-29_final
2018-08-15 09:19:16	ga_ls7e_ard_3-1-0_090085_2018-08-14_final
2018-11-03 09:16:17	ga_ls7e_ard_3-1-0_090082_2018-11-02_final
2019-02-18 10:32:47	ga_ls7e_ard_3-1-0_103080_2019-02-18_final
2019-02-25 10:34:21	ga_ls7e_ard_3-1-0_104069_2019-02-25_final
2019-03-10 10:08:38	ga_ls7e_ard_3-1-0_099083_2019-03-10_final
2019-03-11 09:10:59	ga_ls7e_ard_3-1-0_090078_2019-03-10_final
2019-08-24 10:04:57	ga_ls7e_ard_3-1-0_100074_2019-08-24_final
2019-08-24 10:06:56	ga_ls7e_ard_3-1-0_100079_2019-08-24_final
2019-08-30 09:27:36	ga_ls7e_ard_3-1-0_094074_2019-08-29_final
2019-09-03 09:03:55	ga_ls7e_ard_3-1-0_090077_2019-09-02_final
2019-09-10 10:48:40	ga_ls7e_ard_3-1-0_107077_2019-09-10_final
2019-09-10 10:50:16	ga_ls7e_ard_3-1-0_107081_2019-09-10_final
2019-09-21 10:28:02	ga_ls7e_ard_3-1-0_104073_2019-09-21_final
2019-09-26 10:49:33	ga_ls7e_ard_3-1-0_107081_2019-09-26_final
2019-10-06 11:25:50	ga_ls7e_ard_3-1-0_113080_2019-10-06_final
2019-10-16 10:22:01	ga_ls7e_ard_3-1-0_103076_2019-10-16_final
2019-10-20 09:59:31	ga_ls7e_ard_3-1-0_099082_2019-10-20_final
2019-10-21 09:03:51	ga_ls7e_ard_3-1-0_090082_2019-10-20_final
2019-10-26 09:20:35	ga_ls7e_ard_3-1-0_093078_2019-10-25_final
2019-11-01 10:19:19	ga_ls7e_ard_3-1-0_103071_2019-11-01_final
2019-11-17 10:22:11	ga_ls7e_ard_3-1-0_103080_2019-11-17_final
2019-11-22 09:02:00	ga_ls7e_ard_3-1-0_090081_2019-11-21_final
2019-11-22 09:05:12	ga_ls7e_ard_3-1-0_090089_2019-11-21_final
2019-11-23 11:18:31	ga_ls7e_ard_3-1-0_113067_2019-11-23_final
2019-11-29 10:45:08	ga_ls7e_ard_3-1-0_107077_2019-11-29_final
2019-12-02 11:15:29	ga_ls7e_ard_3-1-0_112076_2019-12-02_final
2019-12-03 10:20:13	ga_ls7e_ard_3-1-0_103077_2019-12-03_final
2019-12-10 10:25:39	ga_ls7e_ard_3-1-0_104076_2019-12-10_final
2019-12-14 10:01:32	ga_ls7e_ard_3-1-0_100078_2019-12-14_final
2019-12-19 10:19:01	ga_ls7e_ard_3-1-0_103076_2019-12-19_final
2019-12-30 09:58:42	ga_ls7e_ard_3-1-0_100073_2019-12-30_final
2019-12-31 10:44:42	ga_ls7e_ard_3-1-0_107080_2019-12-31_final
2020-01-09 09:02:46	ga_ls7e_ard_3-1-0_090089_2020-01-08_final
2020-01-10 11:22:52	ga_ls7e_ard_3-1-0_113084_2020-01-10_final
2020-01-16 10:43:30	ga_ls7e_ard_3-1-0_107079_2020-01-16_final
2020-01-20 10:18:11	ga_ls7e_ard_3-1-0_103078_2020-01-20_final
2020-02-09 09:50:52	ga_ls7e_ard_3-1-0_099074_2020-02-09_final
2020-02-20 11:13:25	ga_ls7e_ard_3-1-0_112081_2020-02-20_final
2020-03-07 11:12:10	ga_ls7e_ard_3-1-0_112080_2020-03-07_final
2020-03-18 09:12:09	ga_ls7e_ard_3-1-0_093075_2020-03-17_final
2020-03-24 10:11:37	ga_ls7e_ard_3-1-0_103070_2020-03-24_final
2020-03-31 10:19:00	ga_ls7e_ard_3-1-0_104074_2020-03-31_final
2020-04-05 10:39:15	ga_ls7e_ard_3-1-0_107079_2020-04-05_final
2020-04-07 08:50:42	ga_ls7e_ard_3-1-0_089086_2020-04-06_final
2020-04-19 09:12:19	ga_ls7e_ard_3-1-0_093080_2020-04-18_final
2020-04-19 09:15:31	ga_ls7e_ard_3-1-0_093088_2020-04-18_final
2020-04-19 10:51:12	ga_ls7e_ard_3-1-0_109080_2020-04-19_final
2020-04-20 09:55:07	ga_ls7e_ard_3-1-0_100079_2020-04-20_final
2022-03-19 09:37:22	ga_ls7e_ard_3-2-1_106080_2022-03-19_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_2022-03-24_final
2022-03-29 08:31:03	ga_ls7e_ard_3-2-1_096071_2022-03-28_final
2022-04-03 08:53:53	ga_ls7e_ard_3-2-1_099083_2022-04-02_final
2022-04-04 07:57:46	ga_ls7e_ard_3-2-1_090082_2022-04-03_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