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
2001-07-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2001-07-03_final
2004-01-15 10:30:09	ga_ls7e_ard_3-1-0_104070_2004-01-15_final
2004-07-25 10:30:08	ga_ls7e_ard_3-1-0_104070_2004-07-25_final
2004-09-11 10:29:53	ga_ls7e_ard_3-1-0_104070_2004-09-11_final
2004-12-16 10:34:01	ga_ls7e_ard_3-1-0_104079_2004-12-16_final
2005-04-10 09:30:02	ga_ls7e_ard_3-1-0_093088_2005-04-10_final
2005-05-09 10:30:50	ga_ls7e_ard_3-1-0_104070_2005-05-09_final
2005-05-25 10:30:49	ga_ls7e_ard_3-1-0_104070_2005-05-25_final
2005-07-12 10:30:39	ga_ls7e_ard_3-1-0_104070_2005-07-12_final
2006-01-07 09:29:50	ga_ls7e_ard_3-1-0_093087_2006-01-06_final
2007-02-08 10:31:37	ga_ls7e_ard_3-1-0_104070_2007-02-08_final
2007-04-16 09:28:56	ga_ls7e_ard_3-1-0_093083_2007-04-15_final
2007-04-16 09:30:08	ga_ls7e_ard_3-1-0_093086_2007-04-16_final
2007-05-15 10:31:36	ga_ls7e_ard_3-1-0_104070_2007-05-15_final
2007-07-18 10:31:25	ga_ls7e_ard_3-1-0_104070_2007-07-18_final
2007-12-28 09:29:58	ga_ls7e_ard_3-1-0_093086_2007-12-27_final
2008-03-01 09:26:14	ga_ls7e_ard_3-1-0_093077_2008-02-29_final
2008-03-01 09:30:14	ga_ls7e_ard_3-1-0_093087_2008-03-01_final
2008-03-11 10:06:03	ga_ls7e_ard_3-1-0_099084_2008-03-11_final
2008-07-04 10:30:46	ga_ls7e_ard_3-1-0_104070_2008-07-04_final
2008-08-02 09:59:34	ga_ls7e_ard_3-1-0_099070_2008-08-02_final
2008-08-21 10:30:21	ga_ls7e_ard_3-1-0_104070_2008-08-21_final
2008-09-06 10:30:13	ga_ls7e_ard_3-1-0_104070_2008-09-06_final
2009-05-23 09:30:04	ga_ls7e_ard_3-1-0_093086_2009-05-23_final
2009-11-15 09:29:50	ga_ls7e_ard_3-1-0_093085_2009-11-14_final
2010-01-18 09:29:59	ga_ls7e_ard_3-1-0_093083_2010-01-17_final
2010-01-19 10:11:40	ga_ls7e_ard_3-1-0_100079_2010-01-19_final
2010-06-27 09:29:49	ga_ls7e_ard_3-1-0_093081_2010-06-26_final
2010-10-17 09:30:02	ga_ls7e_ard_3-1-0_093081_2010-10-17_final
2011-02-22 09:29:55	ga_ls7e_ard_3-1-0_093078_2011-02-21_final
2012-03-12 09:30:08	ga_ls7e_ard_3-1-0_093077_2012-03-12_final
2012-09-01 10:36:32	ga_ls7e_ard_3-1-0_104070_2012-09-01_final
2012-09-04 09:35:22	ga_ls7e_ard_3-1-0_093087_2012-09-04_final
2013-01-23 10:40:36	ga_ls7e_ard_3-1-0_104078_2013-01-23_final
2013-01-23 10:41:00	ga_ls7e_ard_3-1-0_104079_2013-01-23_final
2013-02-21 10:12:05	ga_ls7e_ard_3-1-0_099084_2013-02-21_final
2013-07-02 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-07-02_final
2014-01-29 09:36:52	ga_ls7e_ard_3-1-0_093087_2014-01-29_final
2014-07-24 09:36:01	ga_ls7e_ard_3-1-0_093083_2014-07-24_final
2015-07-27 09:38:11	ga_ls7e_ard_3-1-0_093083_2015-07-27_final
2016-07-26 10:43:50	ga_ls7e_ard_3-1-0_104070_2016-07-26_final
2016-12-04 09:42:32	ga_ls7e_ard_3-1-0_093087_2016-12-04_final
2018-01-05 10:46:56	ga_ls7e_ard_3-1-0_104079_2018-01-05_final
2018-01-08 09:42:06	ga_ls7e_ard_3-1-0_093087_2018-01-08_final
2019-02-28 09:28:17	ga_ls7e_ard_3-1-0_093074_2019-02-27_final
2019-02-28 09:29:04	ga_ls7e_ard_3-1-0_093076_2019-02-27_final
2019-02-28 09:31:52	ga_ls7e_ard_3-1-0_093083_2019-02-28_final
2019-03-02 10:56:44	ga_ls7e_ard_3-1-0_107079_2019-03-02_final
2019-03-10 10:05:50	ga_ls7e_ard_3-1-0_099076_2019-03-10_final
2019-03-13 10:37:02	ga_ls7e_ard_3-1-0_104077_2019-03-13_final
2019-06-01 10:31:21	ga_ls7e_ard_3-1-0_104070_2019-06-01_final
2019-08-24 10:04:57	ga_ls7e_ard_3-1-0_100074_2019-08-24_final
2019-08-25 10:48:10	ga_ls7e_ard_3-1-0_107074_2019-08-25_final
2019-09-25 10:02:44	ga_ls7e_ard_3-1-0_100072_2019-09-25_final
2019-10-07 10:25:23	ga_ls7e_ard_3-1-0_104068_2019-10-07_final
2019-10-12 10:44:54	ga_ls7e_ard_3-1-0_107071_2019-10-12_final
2019-10-20 09:59:55	ga_ls7e_ard_3-1-0_099083_2019-10-20_final
2019-10-23 10:27:53	ga_ls7e_ard_3-1-0_104076_2019-10-23_final
2019-10-28 10:47:25	ga_ls7e_ard_3-1-0_107079_2019-10-28_final
2019-11-27 09:18:19	ga_ls7e_ard_3-1-0_093076_2019-11-26_final
2019-11-29 10:46:44	ga_ls7e_ard_3-1-0_107081_2019-11-29_final
2019-12-07 09:53:42	ga_ls7e_ard_3-1-0_099073_2019-12-07_final
2019-12-13 09:19:31	ga_ls7e_ard_3-1-0_093081_2019-12-12_final
2019-12-14 10:01:56	ga_ls7e_ard_3-1-0_100079_2019-12-14_final
2019-12-15 10:42:44	ga_ls7e_ard_3-1-0_107073_2019-12-15_final
2019-12-23 09:52:53	ga_ls7e_ard_3-1-0_099073_2019-12-23_final
2019-12-26 10:26:02	ga_ls7e_ard_3-1-0_104079_2019-12-26_final
2019-12-31 10:41:31	ga_ls7e_ard_3-1-0_107072_2019-12-31_final
2020-01-11 10:23:36	ga_ls7e_ard_3-1-0_104075_2020-01-11_final
2020-01-30 09:15:05	ga_ls7e_ard_3-1-0_093076_2020-01-29_final
2020-02-09 09:54:51	ga_ls7e_ard_3-1-0_099084_2020-02-09_final
2020-02-12 10:23:12	ga_ls7e_ard_3-1-0_104078_2020-02-12_final
2020-02-25 09:50:25	ga_ls7e_ard_3-1-0_099075_2020-02-25_final
2020-02-25 09:50:49	ga_ls7e_ard_3-1-0_099076_2020-02-25_final
2020-03-02 09:16:13	ga_ls7e_ard_3-1-0_093083_2020-03-01_final
2020-03-03 09:59:25	ga_ls7e_ard_3-1-0_100083_2020-03-03_final
2020-03-18 09:16:08	ga_ls7e_ard_3-1-0_093085_2020-03-17_final
2020-03-19 09:54:33	ga_ls7e_ard_3-1-0_100073_2020-03-19_final
2020-04-19 09:12:43	ga_ls7e_ard_3-1-0_093081_2020-04-18_final
2020-04-21 10:34:44	ga_ls7e_ard_3-1-0_107070_2020-04-21_final
2020-04-21 10:36:44	ga_ls7e_ard_3-1-0_107075_2020-04-21_final
2022-03-13 10:16:15	ga_ls7e_ard_3-2-1_112083_2022-03-13_final
2022-03-15 08:22:01	ga_ls7e_ard_3-2-1_094076_2022-03-14_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_final
2022-03-20 10:19:20	ga_ls7e_ard_3-2-1_113077_2022-03-20_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_final
2022-03-21 09:21:14	ga_ls7e_ard_3-2-1_104071_2022-03-20_final
2022-03-22 08:30:43	ga_ls7e_ard_3-2-1_095084_2022-03-21_final
2022-03-24 09:56:15	ga_ls7e_ard_3-2-1_109082_2022-03-24_final
2022-03-26 08:06:01	ga_ls7e_ard_3-2-1_091085_2022-03-25_final
2022-03-27 08:44:24	ga_ls7e_ard_3-2-1_098073_2022-03-26_final
2022-03-29 08:32:14	ga_ls7e_ard_3-2-1_096074_2022-03-28_final
2022-03-29 08:35:50	ga_ls7e_ard_3-2-1_096083_2022-03-28_final
2022-03-30 09:17:00	ga_ls7e_ard_3-2-1_103078_2022-03-29_final
2022-03-31 10:00:34	ga_ls7e_ard_3-2-1_110079_2022-03-31_final
2022-04-01 09:06:03	ga_ls7e_ard_3-2-1_101082_2022-03-31_final
2022-04-02 09:44:01	ga_ls7e_ard_3-2-1_108069_2022-04-02_final
2022-04-02 09:46:01	ga_ls7e_ard_3-2-1_108074_2022-04-02_final
2022-04-04 09:32:15	ga_ls7e_ard_3-2-1_106071_2022-04-04_final
2022-04-05 08:40:31	ga_ls7e_ard_3-2-1_097081_2022-04-04_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