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
2002-12-21 09:28:55	ga_ls7e_ard_3-1-0_094073_2002-12-20_final
2003-03-20 09:28:43	ga_ls7e_ard_3-1-0_093087_2003-03-19_final
2004-04-01 10:01:11	ga_ls7e_ard_3-1-0_099074_2004-04-01_final
2004-12-10 09:33:47	ga_ls7e_ard_3-1-0_094083_2004-12-10_final
2005-02-12 09:34:11	ga_ls7e_ard_3-1-0_094083_2005-02-12_final
2005-04-26 09:29:59	ga_ls7e_ard_3-1-0_093088_2005-04-25_final
2005-05-03 09:30:13	ga_ls7e_ard_3-1-0_094073_2005-05-03_final
2005-09-01 09:27:38	ga_ls7e_ard_3-1-0_093083_2005-08-31_final
2007-02-21 10:01:11	ga_ls7e_ard_3-1-0_099071_2007-02-21_final
2007-04-13 10:31:45	ga_ls7e_ard_3-1-0_104070_2007-04-13_final
2007-12-28 09:29:58	ga_ls7e_ard_3-1-0_093086_2007-12-27_final
2008-02-15 10:12:22	ga_ls7e_ard_3-1-0_100084_2008-02-15_final
2008-04-25 09:34:42	ga_ls7e_ard_3-1-0_094083_2008-04-25_final
2008-08-08 09:29:38	ga_ls7e_ard_3-1-0_093088_2008-08-07_final
2008-08-25 10:09:59	ga_ls7e_ard_3-1-0_100081_2008-08-25_final
2008-08-31 09:33:39	ga_ls7e_ard_3-1-0_094083_2008-08-31_final
2009-01-15 09:28:08	ga_ls7e_ard_3-1-0_093083_2009-01-14_final
2009-06-24 09:28:50	ga_ls7e_ard_3-1-0_093083_2009-06-23_final
2009-07-07 10:31:35	ga_ls7e_ard_3-1-0_104070_2009-07-07_final
2009-08-11 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-10_final
2009-11-16 10:11:07	ga_ls7e_ard_3-1-0_100080_2009-11-16_final
2010-06-08 10:33:22	ga_ls7e_ard_3-1-0_104070_2010-06-08_final
2012-01-24 09:34:01	ga_ls7e_ard_3-1-0_093087_2012-01-24_final
2012-02-22 10:35:22	ga_ls7e_ard_3-1-0_104070_2012-02-22_final
2012-03-12 09:34:07	ga_ls7e_ard_3-1-0_093087_2012-03-12_final
2013-02-28 10:17:02	ga_ls7e_ard_3-1-0_100081_2013-02-28_final
2013-07-18 10:36:36	ga_ls7e_ard_3-1-0_104070_2013-07-18_final
2013-10-06 10:37:07	ga_ls7e_ard_3-1-0_104070_2013-10-06_final
2014-07-21 10:38:47	ga_ls7e_ard_3-1-0_104070_2014-07-21_final
2014-08-06 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-08-06_final
2014-09-07 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-09-07_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2016-07-10 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-07-10_final
2016-07-13 09:40:59	ga_ls7e_ard_3-1-0_093083_2016-07-13_final
2016-08-05 09:47:14	ga_ls7e_ard_3-1-0_094083_2016-08-05_final
2016-09-12 10:43:56	ga_ls7e_ard_3-1-0_104070_2016-09-12_final
2017-08-18 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-08-18_final
2017-12-04 10:47:17	ga_ls7e_ard_3-1-0_104079_2017-12-04_final
2018-01-05 10:45:20	ga_ls7e_ard_3-1-0_104075_2018-01-05_final
2018-05-29 10:41:14	ga_ls7e_ard_3-1-0_104070_2018-05-29_final
2019-01-28 10:15:16	ga_ls7e_ard_3-1-0_100081_2019-01-28_final
2019-02-09 10:38:50	ga_ls7e_ard_3-1-0_104079_2019-02-09_final
2019-02-18 10:29:11	ga_ls7e_ard_3-1-0_103071_2019-02-18_final
2019-02-18 10:31:59	ga_ls7e_ard_3-1-0_103078_2019-02-18_final
2019-02-22 10:05:57	ga_ls7e_ard_3-1-0_099075_2019-02-22_final
2019-03-01 10:10:42	ga_ls7e_ard_3-1-0_100072_2019-03-01_final
2019-03-02 10:55:56	ga_ls7e_ard_3-1-0_107077_2019-03-02_final
2019-03-06 10:31:29	ga_ls7e_ard_3-1-0_103078_2019-03-06_final
2019-08-24 10:04:57	ga_ls7e_ard_3-1-0_100074_2019-08-24_final
2019-08-29 10:24:52	ga_ls7e_ard_3-1-0_103078_2019-08-29_final
2019-09-21 10:29:14	ga_ls7e_ard_3-1-0_104076_2019-09-21_final
2019-09-21 10:29:38	ga_ls7e_ard_3-1-0_104077_2019-09-21_final
2019-10-10 09:21:16	ga_ls7e_ard_3-1-0_093078_2019-10-09_final
2019-10-16 10:22:49	ga_ls7e_ard_3-1-0_103078_2019-10-16_final
2019-10-17 09:29:32	ga_ls7e_ard_3-1-0_094084_2019-10-16_final
2019-10-27 10:02:12	ga_ls7e_ard_3-1-0_100074_2019-10-27_final
2019-11-17 10:17:24	ga_ls7e_ard_3-1-0_103068_2019-11-17_final
2019-11-17 10:21:23	ga_ls7e_ard_3-1-0_103078_2019-11-17_final
2019-11-21 09:54:05	ga_ls7e_ard_3-1-0_099072_2019-11-21_final
2019-11-24 10:26:02	ga_ls7e_ard_3-1-0_104075_2019-11-24_final
2019-11-24 10:28:26	ga_ls7e_ard_3-1-0_104081_2019-11-24_final
2019-11-27 09:17:31	ga_ls7e_ard_3-1-0_093074_2019-11-26_final
2019-11-28 10:03:55	ga_ls7e_ard_3-1-0_100082_2019-11-28_final
2019-12-03 10:20:13	ga_ls7e_ard_3-1-0_103077_2019-12-03_final
2019-12-03 10:20:37	ga_ls7e_ard_3-1-0_103078_2019-12-03_final
2019-12-07 09:52:54	ga_ls7e_ard_3-1-0_099071_2019-12-07_final
2019-12-10 10:24:51	ga_ls7e_ard_3-1-0_104074_2019-12-10_final
2019-12-29 09:21:29	ga_ls7e_ard_3-1-0_093088_2019-12-28_final
2019-12-30 09:59:06	ga_ls7e_ard_3-1-0_100074_2019-12-30_final
2019-12-30 10:02:18	ga_ls7e_ard_3-1-0_100082_2019-12-30_final
2019-12-31 10:45:54	ga_ls7e_ard_3-1-0_107083_2019-12-31_final
2019-12-31 10:46:18	ga_ls7e_ard_3-1-0_107084_2019-12-31_final
2020-01-04 10:14:59	ga_ls7e_ard_3-1-0_103068_2020-01-04_final
2020-01-04 10:18:35	ga_ls7e_ard_3-1-0_103077_2020-01-04_final
2020-01-08 09:52:27	ga_ls7e_ard_3-1-0_099074_2020-01-08_final
2020-01-24 09:54:04	ga_ls7e_ard_3-1-0_099080_2020-01-24_final
2020-02-09 09:50:52	ga_ls7e_ard_3-1-0_099074_2020-02-09_final
2020-02-21 10:13:46	ga_ls7e_ard_3-1-0_103071_2020-02-21_final
2020-02-22 09:24:28	ga_ls7e_ard_3-1-0_094087_2020-02-21_final
2020-03-12 09:49:34	ga_ls7e_ard_3-1-0_099075_2020-03-12_final
2020-03-12 09:51:57	ga_ls7e_ard_3-1-0_099081_2020-03-12_final
2020-03-19 09:58:33	ga_ls7e_ard_3-1-0_100083_2020-03-19_final
2020-03-28 09:46:41	ga_ls7e_ard_3-1-0_099070_2020-03-28_final
2020-04-05 10:41:15	ga_ls7e_ard_3-1-0_107084_2020-04-05_final
2020-04-29 09:49:36	ga_ls7e_ard_3-1-0_099082_2020-04-29_final
2022-03-18 08:52:12	ga_ls7e_ard_3-2-1_099075_2022-03-17_final
2022-03-22 08:26:43	ga_ls7e_ard_3-2-1_095074_2022-03-21_final
2022-03-24 08:18:10	ga_ls7e_ard_3-2-1_093084_2022-03-23_final
2022-03-24 09:52:15	ga_ls7e_ard_3-2-1_109072_2022-03-24_final
2022-03-24 09:56:39	ga_ls7e_ard_3-2-1_109083_2022-03-24_final
2022-03-26 09:38:55	ga_ls7e_ard_3-2-1_107070_2022-03-26_final
2022-03-27 08:45:11	ga_ls7e_ard_3-2-1_098075_2022-03-26_final
2022-03-31 10:00:34	ga_ls7e_ard_3-2-1_110079_2022-03-31_final
2022-04-01 09:01:39	ga_ls7e_ard_3-2-1_101071_2022-03-31_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_2022-04-01_final
2022-04-02 09:44:49	ga_ls7e_ard_3-2-1_108071_2022-04-02_final
2022-04-03 08:50:41	ga_ls7e_ard_3-2-1_099075_2022-04-02_final
2022-04-04 07:58:10	ga_ls7e_ard_3-2-1_090083_2022-04-03_final
2022-04-04 09:35:03	ga_ls7e_ard_3-2-1_106078_2022-04-04_final
2022-04-05 08:36:56	ga_ls7e_ard_3-2-1_097072_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