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
1999-11-04 09:32:54	ga_ls7e_ard_3-1-0_093087_1999-11-04_final
2000-12-08 09:30:22	ga_ls7e_ard_3-1-0_093087_2000-12-08_final
2003-09-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2003-09-25_final
2004-06-20 10:03:44	ga_ls7e_ard_3-1-0_099081_2004-06-20_final
2004-12-03 09:29:09	ga_ls7e_ard_3-1-0_093087_2004-12-02_final
2004-12-20 10:10:09	ga_ls7e_ard_3-1-0_100081_2004-12-20_final
2005-05-28 09:30:00	ga_ls7e_ard_3-1-0_093088_2005-05-28_final
2005-09-17 09:29:06	ga_ls7e_ard_3-1-0_093087_2005-09-16_final
2005-11-27 09:27:48	ga_ls7e_ard_3-1-0_094067_2005-11-26_final
2006-01-07 09:29:50	ga_ls7e_ard_3-1-0_093087_2006-01-06_final
2006-07-15 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-07-15_final
2006-10-13 09:35:39	ga_ls7e_ard_3-1-0_094087_2006-10-13_final
2008-03-01 09:25:02	ga_ls7e_ard_3-1-0_093074_2008-02-29_final
2008-05-04 09:30:05	ga_ls7e_ard_3-1-0_093087_2008-05-04_final
2008-06-18 10:30:56	ga_ls7e_ard_3-1-0_104070_2008-06-18_final
2008-07-04 10:30:46	ga_ls7e_ard_3-1-0_104070_2008-07-04_final
2008-07-30 09:27:29	ga_ls7e_ard_3-1-0_094067_2008-07-29_final
2009-04-18 10:31:35	ga_ls7e_ard_3-1-0_104070_2009-04-18_final
2009-04-21 09:28:48	ga_ls7e_ard_3-1-0_093083_2009-04-20_final
2009-05-23 09:30:04	ga_ls7e_ard_3-1-0_093086_2009-05-23_final
2009-10-05 09:28:20	ga_ls7e_ard_3-1-0_094067_2009-10-04_final
2010-06-27 09:32:13	ga_ls7e_ard_3-1-0_093087_2010-06-27_final
2010-08-27 10:33:29	ga_ls7e_ard_3-1-0_104070_2010-08-27_final
2011-02-22 09:29:55	ga_ls7e_ard_3-1-0_093078_2011-02-21_final
2011-03-17 09:38:10	ga_ls7e_ard_3-1-0_094083_2011-03-17_final
2011-06-30 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-06-30_final
2011-08-02 10:14:21	ga_ls7e_ard_3-1-0_100081_2011-08-02_final
2013-02-21 10:11:41	ga_ls7e_ard_3-1-0_099083_2013-02-21_final
2013-10-09 09:35:58	ga_ls7e_ard_3-1-0_093087_2013-10-09_final
2014-07-31 09:35:52	ga_ls7e_ard_3-1-0_094067_2014-07-31_final
2014-09-07 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-09-07_final
2015-10-22 09:38:33	ga_ls7e_ard_3-1-0_094067_2015-10-22_final
2016-12-04 09:42:32	ga_ls7e_ard_3-1-0_093087_2016-12-04_final
2017-06-16 11:02:47	ga_ls7e_ard_3-1-0_107071_2017-06-16_final
2017-08-24 09:40:50	ga_ls7e_ard_3-1-0_094067_2017-08-24_final
2017-11-21 09:42:35	ga_ls7e_ard_3-1-0_093087_2017-11-21_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-03-24 09:20:35	ga_ls7e_ard_3-1-0_090082_2018-03-23_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2018-09-12 09:36:13	ga_ls7e_ard_3-1-0_094067_2018-09-12_final
2018-09-16 09:17:24	ga_ls7e_ard_3-1-0_090082_2018-09-15_final
2019-02-19 09:34:44	ga_ls7e_ard_3-1-0_094074_2019-02-19_final
2019-02-19 09:37:32	ga_ls7e_ard_3-1-0_094081_2019-02-19_final
2019-02-22 10:09:32	ga_ls7e_ard_3-1-0_099084_2019-02-22_final
2019-02-25 10:39:33	ga_ls7e_ard_3-1-0_104082_2019-02-25_final
2019-03-02 10:55:56	ga_ls7e_ard_3-1-0_107077_2019-03-02_final
2019-03-10 10:04:14	ga_ls7e_ard_3-1-0_099072_2019-03-10_final
2019-03-18 10:58:12	ga_ls7e_ard_3-1-0_107084_2019-03-18_final
2019-03-22 10:28:58	ga_ls7e_ard_3-1-0_103073_2019-03-22_final
2019-08-29 10:26:04	ga_ls7e_ard_3-1-0_103081_2019-08-29_final
2019-08-30 09:32:24	ga_ls7e_ard_3-1-0_094086_2019-08-30_final
2019-09-02 10:00:22	ga_ls7e_ard_3-1-0_099079_2019-09-02_final
2019-09-09 10:07:51	ga_ls7e_ard_3-1-0_100083_2019-09-09_final
2019-09-10 10:45:52	ga_ls7e_ard_3-1-0_107070_2019-09-10_final
2019-09-15 09:29:42	ga_ls7e_ard_3-1-0_094081_2019-09-14_final
2019-09-18 10:01:16	ga_ls7e_ard_3-1-0_099083_2019-09-18_final
2019-09-29 11:17:32	ga_ls7e_ard_3-1-0_112074_2019-09-29_final
2019-10-11 10:06:52	ga_ls7e_ard_3-1-0_100084_2019-10-11_final
2019-10-12 10:46:54	ga_ls7e_ard_3-1-0_107076_2019-10-12_final
2019-10-20 09:55:08	ga_ls7e_ard_3-1-0_099071_2019-10-20_final
2019-11-05 09:53:37	ga_ls7e_ard_3-1-0_099069_2019-11-05_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-08 10:25:59	ga_ls7e_ard_3-1-0_104073_2019-11-08_final
2019-11-18 09:28:54	ga_ls7e_ard_3-1-0_094086_2019-11-17_final
2019-11-21 09:56:04	ga_ls7e_ard_3-1-0_099077_2019-11-21_final
2019-11-22 09:02:00	ga_ls7e_ard_3-1-0_090081_2019-11-21_final
2019-11-22 09:04:48	ga_ls7e_ard_3-1-0_090088_2019-11-21_final
2019-12-07 09:55:18	ga_ls7e_ard_3-1-0_099077_2019-12-07_final
2019-12-07 09:57:42	ga_ls7e_ard_3-1-0_099083_2019-12-07_final
2019-12-18 11:14:41	ga_ls7e_ard_3-1-0_112076_2019-12-18_final
2019-12-19 10:17:49	ga_ls7e_ard_3-1-0_103073_2019-12-19_final
2019-12-20 09:26:32	ga_ls7e_ard_3-1-0_094084_2019-12-19_final
2019-12-23 09:51:42	ga_ls7e_ard_3-1-0_099070_2019-12-23_final
2019-12-31 10:41:31	ga_ls7e_ard_3-1-0_107072_2019-12-31_final
2020-01-11 10:21:37	ga_ls7e_ard_3-1-0_104070_2020-01-11_final
2020-01-20 10:16:59	ga_ls7e_ard_3-1-0_103075_2020-01-20_final
2020-01-20 10:19:47	ga_ls7e_ard_3-1-0_103082_2020-01-20_final
2020-02-12 10:21:12	ga_ls7e_ard_3-1-0_104073_2020-02-12_final
2020-02-17 10:43:53	ga_ls7e_ard_3-1-0_107084_2020-02-17_final
2020-02-22 09:23:40	ga_ls7e_ard_3-1-0_094085_2020-02-21_final
2020-02-25 09:53:13	ga_ls7e_ard_3-1-0_099082_2020-02-25_final
2020-03-12 09:52:21	ga_ls7e_ard_3-1-0_099082_2020-03-12_final
2020-03-28 09:46:17	ga_ls7e_ard_3-1-0_099069_2020-03-28_final
2020-03-28 09:49:28	ga_ls7e_ard_3-1-0_099077_2020-03-28_final
2020-03-29 08:57:23	ga_ls7e_ard_3-1-0_090086_2020-03-28_final
2020-04-03 09:16:03	ga_ls7e_ard_3-1-0_093087_2020-04-02_final
2020-04-05 10:37:39	ga_ls7e_ard_3-1-0_107075_2020-04-05_final
2020-04-05 10:38:03	ga_ls7e_ard_3-1-0_107076_2020-04-05_final
2020-04-05 10:40:03	ga_ls7e_ard_3-1-0_107081_2020-04-05_final
2020-04-24 11:09:51	ga_ls7e_ard_3-1-0_112081_2020-04-24_final
2020-04-24 11:10:39	ga_ls7e_ard_3-1-0_112083_2020-04-24_final
2020-04-25 10:10:35	ga_ls7e_ard_3-1-0_103072_2020-04-25_final
2020-04-26 09:15:18	ga_ls7e_ard_3-1-0_094073_2020-04-25_final
2022-03-13 10:12:40	ga_ls7e_ard_3-2-1_112074_2022-03-13_final
2022-03-14 09:15:45	ga_ls7e_ard_3-2-1_103071_2022-03-13_final
2022-03-22 08:26:19	ga_ls7e_ard_3-2-1_095073_2022-03-21_final
2022-03-25 08:57:20	ga_ls7e_ard_3-2-1_100074_2022-03-24_final
2022-03-29 10:13:55	ga_ls7e_ard_3-2-1_112081_2022-03-29_final
2022-03-31 08:24:05	ga_ls7e_ard_3-2-1_094085_2022-03-30_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