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 10:02:42	ga_ls7e_ard_3-1-0_099069_1999-07-09_final
2004-03-17 09:09:57	ga_ls7e_ard_3-1-0_090085_2004-03-16_final
2004-10-07 09:31:54	ga_ls7e_ard_3-1-0_094080_2004-10-07_final
2005-06-29 09:29:49	ga_ls7e_ard_3-1-0_093088_2005-06-28_final
2006-06-06 10:25:05	ga_ls7e_ard_3-1-0_103070_2006-06-06_final
2006-08-26 09:34:15	ga_ls7e_ard_3-1-0_094083_2006-08-26_final
2006-09-20 09:27:56	ga_ls7e_ard_3-1-0_093083_2006-09-19_final
2006-11-01 10:00:52	ga_ls7e_ard_3-1-0_099072_2006-11-01_final
2006-11-08 10:10:44	ga_ls7e_ard_3-1-0_100081_2006-11-08_final
2008-01-04 09:34:58	ga_ls7e_ard_3-1-0_094083_2008-01-04_final
2008-08-18 09:59:28	ga_ls7e_ard_3-1-0_099070_2008-08-18_final
2009-05-20 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-05-20_final
2009-08-18 09:28:24	ga_ls7e_ard_3-1-0_094067_2009-08-17_final
2009-09-28 09:28:34	ga_ls7e_ard_3-1-0_093083_2009-09-27_final
2010-06-08 10:33:22	ga_ls7e_ard_3-1-0_104070_2010-06-08_final
2010-08-27 10:33:29	ga_ls7e_ard_3-1-0_104070_2010-08-27_final
2010-11-18 09:30:00	ga_ls7e_ard_3-1-0_093080_2010-11-18_final
2010-12-25 11:27:22	ga_ls7e_ard_3-1-0_112079_2010-12-25_final
2011-04-11 09:33:39	ga_ls7e_ard_3-1-0_093087_2011-04-11_final
2011-11-18 10:34:50	ga_ls7e_ard_3-1-0_104070_2011-11-18_final
2011-12-23 09:32:21	ga_ls7e_ard_3-1-0_093083_2011-12-23_final
2012-04-18 11:27:32	ga_ls7e_ard_3-1-0_112077_2012-04-18_final
2012-09-21 10:16:23	ga_ls7e_ard_3-1-0_100081_2012-09-21_final
2012-10-07 10:16:32	ga_ls7e_ard_3-1-0_100081_2012-10-07_final
2013-03-20 11:29:34	ga_ls7e_ard_3-1-0_112077_2013-03-20_final
2013-06-10 09:40:17	ga_ls7e_ard_3-1-0_094083_2013-06-10_final
2014-07-05 10:38:45	ga_ls7e_ard_3-1-0_104070_2014-07-05_final
2014-07-24 09:36:01	ga_ls7e_ard_3-1-0_093083_2014-07-24_final
2014-09-11 10:18:31	ga_ls7e_ard_3-1-0_100081_2014-09-11_final
2014-10-17 11:31:28	ga_ls7e_ard_3-1-0_112077_2014-10-17_final
2015-02-24 09:37:03	ga_ls7e_ard_3-1-0_094067_2015-02-24_final
2015-12-09 09:45:41	ga_ls7e_ard_3-1-0_094083_2015-12-09_final
2016-08-11 10:43:51	ga_ls7e_ard_3-1-0_104070_2016-08-11_final
2017-05-20 09:47:07	ga_ls7e_ard_3-1-0_094083_2017-05-20_final
2017-06-30 09:41:05	ga_ls7e_ard_3-1-0_093083_2017-06-30_final
2017-10-05 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-10-05_final
2018-01-15 09:46:35	ga_ls7e_ard_3-1-0_094083_2018-01-15_final
2018-01-24 09:41:51	ga_ls7e_ard_3-1-0_093087_2018-01-24_final
2018-08-01 10:40:04	ga_ls7e_ard_3-1-0_104070_2018-08-01_final
2019-01-24 10:39:19	ga_ls7e_ard_3-1-0_104079_2019-01-24_final
2019-02-18 10:33:11	ga_ls7e_ard_3-1-0_103081_2019-02-18_final
2019-02-25 10:33:57	ga_ls7e_ard_3-1-0_104068_2019-02-25_final
2019-02-25 10:38:21	ga_ls7e_ard_3-1-0_104079_2019-02-25_final
2019-03-06 10:31:05	ga_ls7e_ard_3-1-0_103077_2019-03-06_final
2019-03-10 10:05:50	ga_ls7e_ard_3-1-0_099076_2019-03-10_final
2019-03-21 11:25:25	ga_ls7e_ard_3-1-0_112075_2019-03-21_final
2019-03-21 11:26:37	ga_ls7e_ard_3-1-0_112078_2019-03-21_final
2019-04-02 10:13:14	ga_ls7e_ard_3-1-0_100081_2019-04-02_final
2019-06-25 11:22:43	ga_ls7e_ard_3-1-0_112077_2019-06-25_final
2019-08-29 10:24:52	ga_ls7e_ard_3-1-0_103078_2019-08-29_final
2019-08-30 09:32:24	ga_ls7e_ard_3-1-0_094086_2019-08-30_final
2019-09-02 10:01:58	ga_ls7e_ard_3-1-0_099083_2019-09-02_final
2019-09-05 10:30:21	ga_ls7e_ard_3-1-0_104077_2019-09-05_final
2019-09-13 11:18:14	ga_ls7e_ard_3-1-0_112074_2019-09-13_final
2019-09-13 11:19:50	ga_ls7e_ard_3-1-0_112078_2019-09-13_final
2019-09-14 10:21:46	ga_ls7e_ard_3-1-0_103072_2019-09-14_final
2019-09-18 09:56:52	ga_ls7e_ard_3-1-0_099072_2019-09-18_final
2019-09-18 10:01:40	ga_ls7e_ard_3-1-0_099084_2019-09-18_final
2019-09-21 10:26:03	ga_ls7e_ard_3-1-0_104068_2019-09-21_final
2019-09-24 09:21:07	ga_ls7e_ard_3-1-0_093076_2019-09-23_final
2019-09-30 10:22:40	ga_ls7e_ard_3-1-0_103076_2019-09-30_final
2019-10-01 09:26:13	ga_ls7e_ard_3-1-0_094074_2019-09-30_final
2019-10-04 09:55:48	ga_ls7e_ard_3-1-0_099071_2019-10-04_final
2019-10-12 10:44:54	ga_ls7e_ard_3-1-0_107071_2019-10-12_final
2019-10-28 10:44:13	ga_ls7e_ard_3-1-0_107071_2019-10-28_final
2019-11-01 10:22:07	ga_ls7e_ard_3-1-0_103078_2019-11-01_final
2019-11-01 10:22:31	ga_ls7e_ard_3-1-0_103079_2019-11-01_final
2019-11-17 10:20:35	ga_ls7e_ard_3-1-0_103076_2019-11-17_final
2019-11-17 10:20:59	ga_ls7e_ard_3-1-0_103077_2019-11-17_final
2019-11-18 09:28:07	ga_ls7e_ard_3-1-0_094084_2019-11-17_final
2019-11-18 09:29:18	ga_ls7e_ard_3-1-0_094087_2019-11-17_final
2019-12-03 10:20:13	ga_ls7e_ard_3-1-0_103077_2019-12-03_final
2019-12-13 09:18:43	ga_ls7e_ard_3-1-0_093079_2019-12-12_final
2019-12-14 10:03:55	ga_ls7e_ard_3-1-0_100084_2019-12-14_final
2019-12-20 09:25:20	ga_ls7e_ard_3-1-0_094081_2019-12-19_final
2020-01-08 09:55:39	ga_ls7e_ard_3-1-0_099082_2020-01-08_final
2020-01-15 09:58:18	ga_ls7e_ard_3-1-0_100074_2020-01-15_final
2020-01-20 10:14:36	ga_ls7e_ard_3-1-0_103069_2020-01-20_final
2020-01-27 10:20:02	ga_ls7e_ard_3-1-0_104068_2020-01-27_final
2020-01-31 10:00:18	ga_ls7e_ard_3-1-0_100081_2020-01-31_final
2020-02-01 10:43:54	ga_ls7e_ard_3-1-0_107082_2020-02-01_final
2020-02-09 09:54:51	ga_ls7e_ard_3-1-0_099084_2020-02-09_final
2020-02-20 11:11:02	ga_ls7e_ard_3-1-0_112075_2020-02-20_final
2020-03-12 09:49:10	ga_ls7e_ard_3-1-0_099074_2020-03-12_final
2020-03-19 09:54:57	ga_ls7e_ard_3-1-0_100074_2020-03-19_final
2020-03-29 08:55:47	ga_ls7e_ard_3-1-0_090082_2020-03-28_final
2020-03-29 08:57:23	ga_ls7e_ard_3-1-0_090086_2020-03-28_final
2020-04-09 10:13:54	ga_ls7e_ard_3-1-0_103078_2020-04-09_final
2020-04-26 09:18:05	ga_ls7e_ard_3-1-0_094080_2020-04-25_final
2020-04-29 09:46:01	ga_ls7e_ard_3-1-0_099073_2020-04-29_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-15 10:00:06	ga_ls7e_ard_3-2-1_110074_2022-03-15_final
2022-03-18 08:52:12	ga_ls7e_ard_3-2-1_099075_2022-03-17_final
2022-03-21 09:23:14	ga_ls7e_ard_3-2-1_104076_2022-03-20_final
2022-03-24 08:14:34	ga_ls7e_ard_3-2-1_093075_2022-03-23_final
2022-03-27 08:47:35	ga_ls7e_ard_3-2-1_098081_2022-03-26_final
2022-03-28 09:27:33	ga_ls7e_ard_3-2-1_105073_2022-03-27_final
2022-04-02 08:10:20	ga_ls7e_ard_3-2-1_092082_2022-04-01_final
2022-04-05 08:40:55	ga_ls7e_ard_3-2-1_097082_2022-04-04_final
2022-04-05 10:19:24	ga_ls7e_ard_3-2-1_113081_2022-04-05_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