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
2003-11-28 10:29:54	ga_ls7e_ard_3-1-0_104070_2003-11-28_final
2004-02-10 09:33:43	ga_ls7e_ard_3-1-0_094083_2004-02-10_final
2004-02-24 11:25:21	ga_ls7e_ard_3-1-0_112084_2004-02-24_final
2005-05-03 09:30:13	ga_ls7e_ard_3-1-0_094073_2005-05-03_final
2005-12-13 09:34:14	ga_ls7e_ard_3-1-0_094083_2005-12-13_final
2005-12-22 09:30:04	ga_ls7e_ard_3-1-0_093088_2005-12-22_final
2006-02-24 09:28:31	ga_ls7e_ard_3-1-0_093083_2006-02-23_final
2006-03-01 11:23:33	ga_ls7e_ard_3-1-0_112077_2006-03-01_final
2006-03-28 09:28:31	ga_ls7e_ard_3-1-0_093083_2006-03-27_final
2006-05-21 10:25:07	ga_ls7e_ard_3-1-0_103070_2006-05-21_final
2006-10-13 09:35:39	ga_ls7e_ard_3-1-0_094087_2006-10-13_final
2007-03-15 09:30:09	ga_ls7e_ard_3-1-0_093086_2007-03-15_final
2008-03-01 09:27:02	ga_ls7e_ard_3-1-0_093079_2008-02-29_final
2008-06-02 10:31:05	ga_ls7e_ard_3-1-0_104070_2008-06-02_final
2008-10-02 09:33:21	ga_ls7e_ard_3-1-0_094083_2008-10-02_final
2009-03-15 09:09:39	ga_ls7e_ard_3-1-0_090082_2009-03-14_final
2009-08-24 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-08-24_final
2010-08-11 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-08-11_final
2010-09-12 10:33:31	ga_ls7e_ard_3-1-0_104070_2010-09-12_final
2011-06-30 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-06-30_final
2011-09-15 10:34:30	ga_ls7e_ard_3-1-0_104070_2011-09-15_final
2011-11-10 11:26:58	ga_ls7e_ard_3-1-0_112077_2011-11-10_final
2012-06-13 10:35:37	ga_ls7e_ard_3-1-0_104070_2012-06-13_final
2012-09-27 09:40:11	ga_ls7e_ard_3-1-0_094083_2012-09-27_final
2013-07-18 10:36:36	ga_ls7e_ard_3-1-0_104070_2013-07-18_final
2013-09-04 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-09-04_final
2014-03-31 10:38:12	ga_ls7e_ard_3-1-0_104070_2014-03-31_final
2014-08-22 10:38:51	ga_ls7e_ard_3-1-0_104070_2014-08-22_final
2014-10-17 11:31:28	ga_ls7e_ard_3-1-0_112077_2014-10-17_final
2015-05-24 09:39:29	ga_ls7e_ard_3-1-0_093087_2015-05-24_final
2015-11-13 10:41:54	ga_ls7e_ard_3-1-0_104070_2015-11-13_final
2016-06-08 10:43:45	ga_ls7e_ard_3-1-0_104070_2016-06-08_final
2016-08-11 10:43:51	ga_ls7e_ard_3-1-0_104070_2016-08-11_final
2016-10-14 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-10-14_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2018-01-05 10:46:56	ga_ls7e_ard_3-1-0_104079_2018-01-05_final
2018-01-25 10:22:42	ga_ls7e_ard_3-1-0_100081_2018-01-25_final
2018-05-13 10:41:29	ga_ls7e_ard_3-1-0_104070_2018-05-13_final
2018-09-18 10:39:05	ga_ls7e_ard_3-1-0_104070_2018-09-18_final
2019-02-22 10:09:32	ga_ls7e_ard_3-1-0_099084_2019-02-22_final
2019-03-07 09:34:38	ga_ls7e_ard_3-1-0_094075_2019-03-07_final
2019-03-10 10:09:02	ga_ls7e_ard_3-1-0_099084_2019-03-10_final
2019-03-17 10:13:23	ga_ls7e_ard_3-1-0_100080_2019-03-17_final
2019-03-18 10:52:37	ga_ls7e_ard_3-1-0_107070_2019-03-18_final
2019-03-18 10:55:25	ga_ls7e_ard_3-1-0_107077_2019-03-18_final
2019-03-22 10:32:09	ga_ls7e_ard_3-1-0_103081_2019-03-22_final
2019-07-11 11:22:06	ga_ls7e_ard_3-1-0_112077_2019-07-11_final
2019-07-19 10:29:33	ga_ls7e_ard_3-1-0_104070_2019-07-19_final
2019-08-04 10:28:54	ga_ls7e_ard_3-1-0_104070_2019-08-04_final
2019-08-18 09:06:35	ga_ls7e_ard_3-1-0_090082_2019-08-17_final
2019-08-25 10:47:22	ga_ls7e_ard_3-1-0_107072_2019-08-25_final
2019-08-28 11:20:08	ga_ls7e_ard_3-1-0_112077_2019-08-28_final
2019-09-03 09:05:54	ga_ls7e_ard_3-1-0_090082_2019-09-02_final
2019-09-29 11:21:32	ga_ls7e_ard_3-1-0_112084_2019-09-29_final
2019-10-15 11:20:04	ga_ls7e_ard_3-1-0_112082_2019-10-15_final
2019-10-20 09:54:20	ga_ls7e_ard_3-1-0_099069_2019-10-20_final
2019-10-23 10:25:30	ga_ls7e_ard_3-1-0_104070_2019-10-23_final
2019-10-26 09:20:35	ga_ls7e_ard_3-1-0_093078_2019-10-25_final
2019-10-28 10:49:24	ga_ls7e_ard_3-1-0_107084_2019-10-28_final
2019-10-31 11:16:59	ga_ls7e_ard_3-1-0_112076_2019-10-31_final
2019-11-11 09:18:40	ga_ls7e_ard_3-1-0_093075_2019-11-10_final
2019-11-17 10:18:35	ga_ls7e_ard_3-1-0_103071_2019-11-17_final
2019-11-21 09:58:52	ga_ls7e_ard_3-1-0_099084_2019-11-21_final
2019-11-28 09:59:55	ga_ls7e_ard_3-1-0_100072_2019-11-28_final
2019-12-13 09:18:43	ga_ls7e_ard_3-1-0_093079_2019-12-12_final
2019-12-15 10:41:33	ga_ls7e_ard_3-1-0_107070_2019-12-15_final
2019-12-15 10:45:56	ga_ls7e_ard_3-1-0_107081_2019-12-15_final
2019-12-18 11:15:05	ga_ls7e_ard_3-1-0_112077_2019-12-18_final
2019-12-24 09:00:25	ga_ls7e_ard_3-1-0_090081_2019-12-23_final
2019-12-26 10:22:26	ga_ls7e_ard_3-1-0_104070_2019-12-26_final
2019-12-31 10:46:18	ga_ls7e_ard_3-1-0_107084_2019-12-31_final
2020-01-05 09:22:06	ga_ls7e_ard_3-1-0_094075_2020-01-04_final
2020-01-11 10:22:25	ga_ls7e_ard_3-1-0_104072_2020-01-11_final
2020-01-19 11:13:27	ga_ls7e_ard_3-1-0_112077_2020-01-19_final
2020-01-20 10:16:59	ga_ls7e_ard_3-1-0_103075_2020-01-20_final
2020-02-20 11:13:01	ga_ls7e_ard_3-1-0_112080_2020-02-20_final
2020-02-21 10:18:09	ga_ls7e_ard_3-1-0_103082_2020-02-21_final
2020-03-29 08:55:47	ga_ls7e_ard_3-1-0_090082_2020-03-28_final
2020-03-31 10:16:37	ga_ls7e_ard_3-1-0_104068_2020-03-31_final
2020-03-31 10:18:36	ga_ls7e_ard_3-1-0_104073_2020-03-31_final
2020-03-31 10:19:48	ga_ls7e_ard_3-1-0_104076_2020-03-31_final
2020-03-31 10:21:24	ga_ls7e_ard_3-1-0_104080_2020-03-31_final
2020-04-08 11:08:47	ga_ls7e_ard_3-1-0_112076_2020-04-08_final
2020-04-16 10:17:17	ga_ls7e_ard_3-1-0_104072_2020-04-16_final
2020-04-19 09:13:31	ga_ls7e_ard_3-1-0_093083_2020-04-18_final
2020-04-19 09:13:55	ga_ls7e_ard_3-1-0_093084_2020-04-18_final
2020-04-21 10:39:55	ga_ls7e_ard_3-1-0_107083_2020-04-21_final
2020-04-24 11:10:39	ga_ls7e_ard_3-1-0_112083_2020-04-24_final
2022-03-18 08:49:49	ga_ls7e_ard_3-2-1_099069_2022-03-17_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_final
2022-03-20 08:39:16	ga_ls7e_ard_3-2-1_097074_2022-03-19_final
2022-03-22 10:04:48	ga_ls7e_ard_3-2-1_111072_2022-03-22_final
2022-03-23 09:09:29	ga_ls7e_ard_3-2-1_102073_2022-03-22_final
2022-03-24 08:18:10	ga_ls7e_ard_3-2-1_093084_2022-03-23_final
2022-03-24 09:57:03	ga_ls7e_ard_3-2-1_109084_2022-03-24_final
2022-03-26 09:43:18	ga_ls7e_ard_3-2-1_107081_2022-03-26_final
2022-03-27 10:24:28	ga_ls7e_ard_3-2-1_114076_2022-03-27_final
2022-03-28 09:28:21	ga_ls7e_ard_3-2-1_105075_2022-03-27_final
2022-04-01 09:01:39	ga_ls7e_ard_3-2-1_101071_2022-03-31_final
2022-04-03 10:31:10	ga_ls7e_ard_3-2-1_115079_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