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
2000-02-22 09:42:13	ga_ls7e_ard_3-0-0_095080_2000-02-22_final
2000-09-29 11:42:27	ga_ls7e_ard_3-1-0_115077_2000-09-29_final
2001-02-24 09:39:58	ga_ls7e_ard_3-0-0_095080_2001-02-24_final
2001-04-29 09:39:41	ga_ls7e_ard_3-0-0_095080_2001-04-29_final
2001-05-31 09:42:09	ga_ls7e_ard_3-0-0_095087_2001-05-31_final
2001-09-20 09:38:50	ga_ls7e_ard_3-0-0_095082_2001-09-20_final
2002-01-10 09:36:22	ga_ls7e_ard_3-0-0_095075_2002-01-10_final
2002-01-26 09:40:26	ga_ls7e_ard_3-0-0_095085_2002-01-26_final
2002-02-27 09:39:21	ga_ls7e_ard_3-0-0_095082_2002-02-27_final
2002-03-31 09:38:23	ga_ls7e_ard_3-0-0_095080_2002-03-31_final
2002-06-19 09:35:42	ga_ls7e_ard_3-0-0_095074_2002-06-19_final
2003-02-14 09:36:17	ga_ls7e_ard_3-0-0_095075_2003-02-14_final
2003-05-01 11:41:34	ga_ls7e_ard_3-0-0_115079_2003-05-01_final
2003-09-26 09:38:59	ga_ls7e_ard_3-0-0_095083_2003-09-26_final
2003-09-26 09:39:23	ga_ls7e_ard_3-0-0_095084_2003-09-26_final
2003-12-15 09:35:58	ga_ls7e_ard_3-0-0_095074_2003-12-15_final
2004-05-03 11:41:58	ga_ls7e_ard_3-0-0_115079_2004-05-03_final
2005-12-04 09:39:12	ga_ls7e_ard_3-0-0_095080_2005-12-04_final
2006-06-14 09:42:24	ga_ls7e_ard_3-0-0_095087_2006-06-14_final
2006-09-02 09:40:48	ga_ls7e_ard_3-0-0_095084_2006-09-02_final
2007-01-08 09:41:01	ga_ls7e_ard_3-0-0_095083_2007-01-08_final
2007-02-09 09:37:59	ga_ls7e_ard_3-0-0_095075_2007-02-09_final
2010-05-04 11:44:59	ga_ls7e_ard_3-0-0_115079_2010-05-04_final
2011-06-24 11:45:33	ga_ls7e_ard_3-0-0_115077_2011-06-24_final
2012-01-22 09:45:35	ga_ls7e_ard_3-0-0_095085_2012-01-22_final
2012-02-07 09:44:29	ga_ls7e_ard_3-0-0_095082_2012-02-07_final
2012-09-02 09:45:43	ga_ls7e_ard_3-0-0_095082_2012-09-02_final
2012-10-20 09:45:23	ga_ls7e_ard_3-0-0_095080_2012-10-20_final
2013-07-03 09:46:42	ga_ls7e_ard_3-0-0_095084_2013-07-03_final
2013-07-19 09:43:46	ga_ls7e_ard_3-0-0_095077_2013-07-19_final
2014-12-29 09:47:18	ga_ls7e_ard_3-0-0_095078_2014-12-29_final
2015-03-19 09:46:36	ga_ls7e_ard_3-0-0_095075_2015-03-19_final
2015-07-25 09:46:33	ga_ls7e_ard_3-1-0_095073_2015-07-25_final
2015-09-11 09:50:18	ga_ls7e_ard_3-0-0_095082_2015-09-11_final
2015-11-14 09:51:29	ga_ls7e_ard_3-0-0_095083_2015-11-14_final
2016-01-17 09:52:51	ga_ls7e_ard_3-0-0_095084_2016-01-17_final
2016-08-28 09:54:16	ga_ls7e_ard_3-0-0_095085_2016-08-28_final
2017-05-11 09:52:04	ga_ls7e_ard_3-0-0_095080_2017-05-11_final
2017-10-18 09:52:38	ga_ls7e_ard_3-0-0_095081_2017-10-18_final
2018-03-11 09:49:39	ga_ls7e_ard_3-0-0_095077_2018-03-11_final
2018-09-19 09:47:50	ga_ls7e_ard_3-0-0_095081_2018-09-19_final
2019-06-14 11:40:28	ga_ls7e_ard_3-0-0_115074_2019-06-14_final
2019-07-04 09:40:30	ga_ls7e_ard_3-0-0_095085_2019-07-04_final
2019-09-06 09:35:53	ga_ls7e_ard_3-1-0_095080_2019-09-06_final
2021-01-30 10:46:30	ga_ls7e_ard_3-2-0_111084_2021-01-30_final
2021-02-08 10:35:16	ga_ls7e_ard_3-2-0_110073_2021-02-08_final
2021-02-24 08:59:10	ga_ls7e_ard_3-2-0_094083_2021-02-23_final
2021-03-01 09:14:32	ga_ls7e_ard_3-2-0_097076_2021-02-28_final
2021-03-08 09:18:58	ga_ls7e_ard_3-2-0_098073_2021-03-07_final
2021-03-27 09:50:44	ga_ls7e_ard_3-2-0_103079_2021-03-27_final
2021-04-18 09:09:50	ga_ls7e_ard_3-2-0_097074_2021-04-17_final
2021-04-24 10:10:20	ga_ls7e_ard_3-2-0_107072_2021-04-24_final
2021-04-25 10:54:42	ga_ls7e_ard_3-2-0_114075_2021-04-25_final
2021-04-29 08:53:09	ga_ls7e_ard_3-2-0_094081_2021-04-28_final
2021-05-08 08:46:14	ga_ls7e_ard_3-2-0_093081_2021-05-07_final
2021-05-15 08:52:13	ga_ls7e_ard_3-2-0_094082_2021-05-14_final
2021-05-15 10:29:06	ga_ls7e_ard_3-2-0_110077_2021-05-15_final
2021-05-15 10:30:42	ga_ls7e_ard_3-2-0_110081_2021-05-15_final
2021-05-24 10:20:10	ga_ls7e_ard_3-2-0_109072_2021-05-24_final
2021-05-26 08:31:09	ga_ls7e_ard_3-2-0_091078_2021-05-25_final
2021-05-26 08:32:45	ga_ls7e_ard_3-2-0_091082_2021-05-25_final
2021-06-03 09:19:06	ga_ls7e_ard_3-2-0_099076_2021-06-02_final
2021-06-18 08:35:26	ga_ls7e_ard_3-2-0_092078_2021-06-17_final
2021-07-04 08:33:42	ga_ls7e_ard_3-2-0_092077_2021-07-03_final
2021-07-04 08:35:17	ga_ls7e_ard_3-2-0_092081_2021-07-03_final
2021-07-11 10:16:34	ga_ls7e_ard_3-2-0_109073_2021-07-11_final
2021-07-22 09:56:41	ga_ls7e_ard_3-2-0_106072_2021-07-22_final
2021-08-08 10:40:02	ga_ls7e_ard_3-2-0_113076_2021-08-08_final
2021-08-28 08:36:41	ga_ls7e_ard_3-2-0_093081_2021-08-27_final
2021-09-05 09:23:26	ga_ls7e_ard_3-2-0_101076_2021-09-04_final
2021-10-04 08:51:10	ga_ls7e_ard_3-2-0_096079_2021-10-03_final
2021-10-04 10:28:51	ga_ls7e_ard_3-2-0_112076_2021-10-04_final
2021-10-08 08:26:29	ga_ls7e_ard_3-2-0_092080_2021-10-07_final
2021-10-12 09:39:30	ga_ls7e_ard_3-2-0_104078_2021-10-12_final
2021-10-14 09:28:33	ga_ls7e_ard_3-2-0_102082_2021-10-13_final
2021-10-20 08:50:32	ga_ls7e_ard_3-2-0_096081_2021-10-19_final
2021-10-26 08:14:31	ga_ls7e_ard_3-2-0_090085_2021-10-25_final
2021-10-27 10:32:34	ga_ls7e_ard_3-2-0_113075_2021-10-27_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-18 09:52:11	ga_ls7e_ard_3-2-1_107072_2021-11-18_final
2021-11-27 09:47:56	ga_ls7e_ard_3-2-1_106079_2021-11-27_final
2021-12-04 09:52:16	ga_ls7e_ard_3-2-1_107076_2021-12-04_final
2021-12-11 10:00:10	ga_ls7e_ard_3-2-1_108082_2021-12-11_final
2021-12-26 09:13:04	ga_ls7e_ard_3-2-1_101076_2021-12-25_final
2021-12-29 09:45:15	ga_ls7e_ard_3-2-1_106080_2021-12-29_final
2021-12-30 08:49:56	ga_ls7e_ard_3-2-1_097081_2021-12-29_final
2022-01-02 09:18:32	ga_ls7e_ard_3-2-1_102076_2022-01-01_final
2022-01-04 09:07:10	ga_ls7e_ard_3-2-1_100079_2022-01-03_final
2022-01-06 10:33:29	ga_ls7e_ard_3-2-1_114079_2022-01-06_final
2022-01-15 08:49:11	ga_ls7e_ard_3-2-1_097083_2022-01-14_final
2022-01-22 08:51:54	ga_ls7e_ard_3-2-1_098076_2022-01-21_final
2022-02-02 10:13:33	ga_ls7e_ard_3-2-1_111082_2022-02-02_final
2022-02-14 10:33:50	ga_ls7e_ard_3-2-1_115074_2022-02-14_final
2022-02-15 08:02:01	ga_ls7e_ard_3-2-1_090081_2022-02-14_final
2022-03-05 09:25:13	ga_ls7e_ard_3-2-1_104077_2022-03-04_final
2022-03-10 09:44:52	ga_ls7e_ard_3-2-1_107081_2022-03-10_final
2022-03-13 10:15:03	ga_ls7e_ard_3-2-1_112080_2022-03-13_final
2022-03-24 08:15:22	ga_ls7e_ard_3-2-1_093077_2022-03-23_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_final
2022-03-25 08:57:44	ga_ls7e_ard_3-2-1_100075_2022-03-24_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