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
2001-12-30 11:30:27	ga_ls7e_ard_3-0-0_114067_2001-12-30_final
2002-08-18 11:40:33	ga_ls7e_ard_3-0-0_115078_2002-08-18_final
2003-11-09 11:40:53	ga_ls7e_ard_3-0-0_115078_2003-11-09_final
2003-11-25 11:41:04	ga_ls7e_ard_3-0-0_115078_2003-11-25_final
2004-02-13 11:39:55	ga_ls7e_ard_3-0-0_115074_2004-02-13_final
2004-03-16 11:40:28	ga_ls7e_ard_3-0-0_115075_2004-03-16_final
2004-06-20 11:41:25	ga_ls7e_ard_3-0-0_115078_2004-06-20_final
2004-08-23 11:40:23	ga_ls7e_ard_3-0-0_115076_2004-08-23_final
2004-09-01 11:36:09	ga_ls7e_ard_3-0-0_114081_2004-09-01_final
2004-11-27 11:40:17	ga_ls7e_ard_3-0-0_115075_2004-11-27_final
2004-12-06 11:34:58	ga_ls7e_ard_3-0-0_114077_2004-12-06_final
2006-01-10 11:31:40	ga_ls7e_ard_3-0-0_114067_2006-01-10_final
2006-01-26 11:34:35	ga_ls7e_ard_3-0-0_114074_2006-01-26_final
2006-03-06 11:42:30	ga_ls7e_ard_3-0-0_115078_2006-03-06_final
2007-02-05 11:42:46	ga_ls7e_ard_3-0-0_115078_2007-02-05_final
2007-05-28 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-05-28_final
2007-12-15 11:32:08	ga_ls7e_ard_3-0-0_114067_2007-12-15_final
2008-10-05 11:39:54	ga_ls7e_ard_3-0-0_115075_2008-10-05_final
2008-12-08 11:41:49	ga_ls7e_ard_3-0-0_115078_2008-12-08_final
2009-07-29 11:34:53	ga_ls7e_ard_3-0-0_114074_2009-07-29_final
2009-12-27 11:44:00	ga_ls7e_ard_3-0-0_115079_2009-12-27_final
2011-04-21 11:46:00	ga_ls7e_ard_3-0-0_115078_2011-04-21_final
2012-01-11 11:38:39	ga_ls7e_ard_3-0-0_114074_2012-01-11_final
2012-03-31 11:41:08	ga_ls7e_ard_3-0-0_114080_2012-03-31_final
2012-12-19 11:48:55	ga_ls7e_ard_3-0-0_115079_2012-12-19_final
2014-04-06 11:38:49	ga_ls7e_ard_3-0-0_114067_2014-04-06_final
2014-07-18 11:48:20	ga_ls7e_ard_3-0-0_115074_2014-07-18_final
2015-09-23 11:52:46	ga_ls7e_ard_3-0-0_115079_2015-09-23_final
2015-10-25 11:53:10	ga_ls7e_ard_3-0-0_115079_2015-10-25_final
2016-01-29 11:54:11	ga_ls7e_ard_3-0-0_115078_2016-01-29_final
2016-03-19 11:44:33	ga_ls7e_ard_3-0-0_113084_2016-03-19_final
2016-09-09 11:54:19	ga_ls7e_ard_3-0-0_115076_2016-09-09_final
2016-12-30 11:55:08	ga_ls7e_ard_3-0-0_115079_2016-12-30_final
2017-03-29 11:49:39	ga_ls7e_ard_3-0-0_114081_2017-03-29_final
2017-11-15 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-11-15_final
2018-05-03 11:47:26	ga_ls7e_ard_3-0-0_114080_2018-05-03_final
2020-01-08 11:31:44	ga_ls7e_ard_3-1-0_115075_2020-01-08_final
2020-02-18 11:20:18	ga_ls7e_ard_3-1-0_114067_2020-02-18_final
2020-11-23 09:32:28	ga_ls7e_ard_3-1-0_099072_2020-11-23_final
2020-11-26 10:01:33	ga_ls7e_ard_3-1-0_104068_2020-11-26_final
2020-12-01 10:23:19	ga_ls7e_ard_3-1-0_107077_2020-12-01_final
2020-12-02 09:27:38	ga_ls7e_ard_3-1-0_098077_2020-12-01_final
2020-12-13 10:45:33	ga_ls7e_ard_3-1-0_111073_2020-12-13_final
2020-12-15 08:59:45	ga_ls7e_ard_3-1-0_093087_2020-12-14_final
2021-01-10 09:28:59	ga_ls7e_ard_3-1-0_099072_2021-01-09_final
2021-01-24 09:44:44	ga_ls7e_ard_3-2-0_101083_2021-01-24_final
2021-01-27 10:11:26	ga_ls7e_ard_3-2-0_106073_2021-01-27_final
2021-01-29 09:56:56	ga_ls7e_ard_3-2-0_104068_2021-01-29_final
2021-02-07 09:55:16	ga_ls7e_ard_3-2-0_103081_2021-02-07_final
2021-02-13 09:17:21	ga_ls7e_ard_3-2-0_097080_2021-02-12_final
2021-02-21 10:06:35	ga_ls7e_ard_3-2-0_105081_2021-02-21_final
2021-03-24 09:22:05	ga_ls7e_ard_3-2-0_098084_2021-03-23_final
2021-03-25 08:23:59	ga_ls7e_ard_3-2-0_089078_2021-03-24_final
2021-04-17 08:33:03	ga_ls7e_ard_3-2-0_090090_2021-04-16_final
2021-05-02 09:19:01	ga_ls7e_ard_3-2-0_099069_2021-05-01_final
2021-05-12 09:57:40	ga_ls7e_ard_3-2-0_105075_2021-05-12_final
2021-05-19 10:06:02	ga_ls7e_ard_3-2-0_106082_2021-05-19_final
2021-05-20 09:09:32	ga_ls7e_ard_3-2-0_097080_2021-05-19_final
2021-05-29 09:04:59	ga_ls7e_ard_3-2-0_096086_2021-05-28_final
2021-06-04 09:59:05	ga_ls7e_ard_3-2-0_106068_2021-06-04_final
2021-06-12 10:53:04	ga_ls7e_ard_3-2-0_114081_2021-06-12_final
2021-06-25 10:19:06	ga_ls7e_ard_3-2-0_109076_2021-06-25_final
2021-06-28 09:14:04	ga_ls7e_ard_3-2-0_098084_2021-06-27_final
2021-06-30 10:39:37	ga_ls7e_ard_3-2-0_112082_2021-06-30_final
2021-07-19 09:28:26	ga_ls7e_ard_3-2-0_101078_2021-07-18_final
2021-07-25 10:27:19	ga_ls7e_ard_3-2-0_111072_2021-07-25_final
2021-07-27 10:19:34	ga_ls7e_ard_3-2-0_109084_2021-07-27_final
2021-08-03 08:46:39	ga_ls7e_ard_3-2-0_094085_2021-08-02_final
2021-08-23 09:52:16	ga_ls7e_ard_3-2-0_106068_2021-08-23_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-10-10 09:51:14	ga_ls7e_ard_3-2-0_106076_2021-10-10_final
2021-10-12 09:35:31	ga_ls7e_ard_3-2-0_104068_2021-10-12_final
2021-10-12 09:41:06	ga_ls7e_ard_3-2-0_104082_2021-10-12_final
2021-10-22 08:39:36	ga_ls7e_ard_3-2-0_094085_2021-10-21_final
2021-10-29 08:39:57	ga_ls7e_ard_3-2-0_095072_2021-10-28_final
2021-11-02 09:58:07	ga_ls7e_ard_3-2-0_107083_2021-11-02_final
2021-11-11 09:45:05	ga_ls7e_ard_3-2-0_106068_2021-11-11_final
2021-11-21 08:43:07	ga_ls7e_ard_3-2-1_096070_2021-11-20_final
2021-11-26 09:05:10	ga_ls7e_ard_3-2-1_099080_2021-11-25_final
2021-12-03 09:11:53	ga_ls7e_ard_3-2-1_100083_2021-12-02_final
2021-12-04 09:52:16	ga_ls7e_ard_3-2-1_107076_2021-12-04_final
2021-12-14 10:31:11	ga_ls7e_ard_3-2-1_113083_2021-12-14_final
2021-12-22 08:00:06	ga_ls7e_ard_3-2-1_089078_2021-12-21_final
2021-12-22 09:34:59	ga_ls7e_ard_3-2-1_105068_2021-12-22_final
2022-01-13 10:39:01	ga_ls7e_ard_3-2-1_115079_2022-01-13_final
2022-01-23 09:34:40	ga_ls7e_ard_3-2-1_105075_2022-01-23_final
2022-02-05 09:01:16	ga_ls7e_ard_3-2-1_100072_2022-02-04_final
2022-02-08 09:30:16	ga_ls7e_ard_3-2-1_105068_2022-02-08_final
2022-02-08 09:32:40	ga_ls7e_ard_3-2-1_105074_2022-02-08_final
2022-02-15 08:00:26	ga_ls7e_ard_3-2-1_090077_2022-02-14_final
2022-02-15 09:41:18	ga_ls7e_ard_3-2-1_106082_2022-02-15_final
2022-02-20 09:54:35	ga_ls7e_ard_3-2-1_109070_2022-02-20_final
2022-03-02 10:34:41	ga_ls7e_ard_3-2-1_115080_2022-03-02_final
2022-03-03 09:37:23	ga_ls7e_ard_3-2-1_106076_2022-03-03_final
2022-03-06 10:05:59	ga_ls7e_ard_3-2-1_111071_2022-03-06_final
2022-03-09 08:57:43	ga_ls7e_ard_3-2-1_100071_2022-03-08_final
2022-03-13 08:32:11	ga_ls7e_ard_3-2-1_096070_2022-03-12_final
2022-03-24 09:51:27	ga_ls7e_ard_3-2-1_109070_2022-03-24_final
2022-03-28 09:29:57	ga_ls7e_ard_3-2-1_105079_2022-03-27_final
2022-03-29 08:30:39	ga_ls7e_ard_3-2-1_096070_2022-03-28_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years