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
2004-02-19 09:29:08	ga_ls7e_ard_3-1-0_093087_2004-02-18_final
2004-11-30 10:30:20	ga_ls7e_ard_3-1-0_104070_2004-11-30_final
2005-02-02 10:30:42	ga_ls7e_ard_3-1-0_104070_2005-02-02_final
2005-07-06 09:30:02	ga_ls7e_ard_3-1-0_094073_2005-07-06_final
2005-11-01 10:30:34	ga_ls7e_ard_3-1-0_104070_2005-11-01_final
2006-09-30 10:04:08	ga_ls7e_ard_3-1-0_099081_2006-09-30_final
2006-11-23 09:30:26	ga_ls7e_ard_3-1-0_093088_2006-11-23_final
2007-03-12 10:31:45	ga_ls7e_ard_3-1-0_104070_2007-03-12_final
2007-04-29 10:35:17	ga_ls7e_ard_3-1-0_104079_2007-04-29_final
2007-09-20 10:31:01	ga_ls7e_ard_3-1-0_104070_2007-09-20_final
2007-10-09 09:30:08	ga_ls7e_ard_3-1-0_093088_2007-10-09_final
2007-12-28 09:29:58	ga_ls7e_ard_3-1-0_093086_2007-12-27_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
2008-04-09 09:34:45	ga_ls7e_ard_3-1-0_094083_2008-04-09_final
2009-06-05 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-06-05_final
2009-08-27 09:29:48	ga_ls7e_ard_3-1-0_093086_2009-08-26_final
2010-02-03 09:31:48	ga_ls7e_ard_3-1-0_093087_2010-02-03_final
2010-09-16 10:13:11	ga_ls7e_ard_3-1-0_100081_2010-09-16_final
2010-10-01 09:27:27	ga_ls7e_ard_3-1-0_093075_2010-09-30_final
2011-01-18 10:34:32	ga_ls7e_ard_3-1-0_104070_2011-01-18_final
2011-10-17 10:34:31	ga_ls7e_ard_3-1-0_104070_2011-10-17_final
2012-09-04 09:35:22	ga_ls7e_ard_3-1-0_093087_2012-09-04_final
2012-10-03 10:36:51	ga_ls7e_ard_3-1-0_104070_2012-10-03_final
2012-10-13 09:40:18	ga_ls7e_ard_3-1-0_094083_2012-10-13_final
2013-05-02 09:35:56	ga_ls7e_ard_3-1-0_093087_2013-05-02_final
2013-07-02 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-07-02_final
2013-10-22 10:37:17	ga_ls7e_ard_3-1-0_104070_2013-10-22_final
2016-08-11 10:43:51	ga_ls7e_ard_3-1-0_104070_2016-08-11_final
2017-01-18 10:43:20	ga_ls7e_ard_3-1-0_104070_2017-01-18_final
2017-12-04 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-12-04_final
2018-01-05 10:46:56	ga_ls7e_ard_3-1-0_104079_2018-01-05_final
2019-02-28 09:29:04	ga_ls7e_ard_3-1-0_093076_2019-02-27_final
2019-03-06 10:31:05	ga_ls7e_ard_3-1-0_103077_2019-03-06_final
2019-03-07 09:34:38	ga_ls7e_ard_3-1-0_094075_2019-03-07_final
2019-03-13 10:37:02	ga_ls7e_ard_3-1-0_104077_2019-03-13_final
2019-03-16 09:31:45	ga_ls7e_ard_3-1-0_093084_2019-03-16_final
2019-03-18 10:53:01	ga_ls7e_ard_3-1-0_107071_2019-03-18_final
2019-03-22 10:30:34	ga_ls7e_ard_3-1-0_103077_2019-03-22_final
2019-03-22 10:32:09	ga_ls7e_ard_3-1-0_103081_2019-03-22_final
2019-03-23 09:36:54	ga_ls7e_ard_3-1-0_094082_2019-03-23_final
2019-08-25 10:50:57	ga_ls7e_ard_3-1-0_107081_2019-08-25_final
2019-08-29 10:26:04	ga_ls7e_ard_3-1-0_103081_2019-08-29_final
2019-09-02 09:57:59	ga_ls7e_ard_3-1-0_099073_2019-09-02_final
2019-09-10 10:47:52	ga_ls7e_ard_3-1-0_107075_2019-09-10_final
2019-09-30 10:23:28	ga_ls7e_ard_3-1-0_103078_2019-09-30_final
2019-10-07 10:26:10	ga_ls7e_ard_3-1-0_104070_2019-10-07_final
2019-10-17 09:27:57	ga_ls7e_ard_3-1-0_094080_2019-10-16_final
2019-10-20 09:54:44	ga_ls7e_ard_3-1-0_099070_2019-10-20_final
2019-10-28 10:49:24	ga_ls7e_ard_3-1-0_107084_2019-10-28_final
2019-11-02 09:27:39	ga_ls7e_ard_3-1-0_094081_2019-11-01_final
2019-11-11 09:23:03	ga_ls7e_ard_3-1-0_093086_2019-11-10_final
2019-11-17 10:18:11	ga_ls7e_ard_3-1-0_103070_2019-11-17_final
2019-11-18 09:24:07	ga_ls7e_ard_3-1-0_094074_2019-11-17_final
2019-11-21 09:53:17	ga_ls7e_ard_3-1-0_099070_2019-11-21_final
2019-12-04 09:27:20	ga_ls7e_ard_3-1-0_094084_2019-12-03_final
2019-12-14 10:02:19	ga_ls7e_ard_3-1-0_100080_2019-12-14_final
2019-12-15 10:42:21	ga_ls7e_ard_3-1-0_107072_2019-12-15_final
2019-12-19 10:16:37	ga_ls7e_ard_3-1-0_103070_2019-12-19_final
2019-12-23 09:54:05	ga_ls7e_ard_3-1-0_099076_2019-12-23_final
2019-12-26 10:26:26	ga_ls7e_ard_3-1-0_104080_2019-12-26_final
2019-12-31 10:45:06	ga_ls7e_ard_3-1-0_107081_2019-12-31_final
2020-01-04 10:16:11	ga_ls7e_ard_3-1-0_103071_2020-01-04_final
2020-01-11 10:24:00	ga_ls7e_ard_3-1-0_104076_2020-01-11_final
2020-01-16 10:41:30	ga_ls7e_ard_3-1-0_107074_2020-01-16_final
2020-01-20 10:17:47	ga_ls7e_ard_3-1-0_103077_2020-01-20_final
2020-01-20 10:18:11	ga_ls7e_ard_3-1-0_103078_2020-01-20_final
2020-01-21 09:24:07	ga_ls7e_ard_3-1-0_094082_2020-01-20_final
2020-02-16 10:00:16	ga_ls7e_ard_3-1-0_100083_2020-02-16_final
2020-02-21 10:13:46	ga_ls7e_ard_3-1-0_103071_2020-02-21_final
2020-02-21 10:14:57	ga_ls7e_ard_3-1-0_103074_2020-02-21_final
2020-02-21 10:16:57	ga_ls7e_ard_3-1-0_103079_2020-02-21_final
2020-02-22 09:23:40	ga_ls7e_ard_3-1-0_094085_2020-02-21_final
2020-02-25 09:54:01	ga_ls7e_ard_3-1-0_099084_2020-02-25_final
2020-03-02 09:13:49	ga_ls7e_ard_3-1-0_093077_2020-03-01_final
2020-03-09 09:20:49	ga_ls7e_ard_3-1-0_094080_2020-03-08_final
2020-03-09 09:21:37	ga_ls7e_ard_3-1-0_094082_2020-03-08_final
2020-03-15 10:19:54	ga_ls7e_ard_3-1-0_104074_2020-03-15_final
2020-03-19 09:54:57	ga_ls7e_ard_3-1-0_100074_2020-03-19_final
2020-03-25 09:22:20	ga_ls7e_ard_3-1-0_094086_2020-03-24_final
2020-03-31 10:19:00	ga_ls7e_ard_3-1-0_104074_2020-03-31_final
2020-04-05 10:38:03	ga_ls7e_ard_3-1-0_107076_2020-04-05_final
2020-04-13 09:50:33	ga_ls7e_ard_3-1-0_099082_2020-04-13_final
2020-04-16 10:20:53	ga_ls7e_ard_3-1-0_104081_2020-04-16_final
2020-04-19 09:10:20	ga_ls7e_ard_3-1-0_093075_2020-04-18_final
2020-04-20 09:53:08	ga_ls7e_ard_3-1-0_100074_2020-04-20_final
2022-03-15 10:00:30	ga_ls7e_ard_3-2-1_110075_2022-03-15_final
2022-03-15 10:00:54	ga_ls7e_ard_3-2-1_110076_2022-03-15_final
2022-03-20 08:39:16	ga_ls7e_ard_3-2-1_097074_2022-03-19_final
2022-03-22 10:07:12	ga_ls7e_ard_3-2-1_111078_2022-03-22_final
2022-03-24 08:18:58	ga_ls7e_ard_3-2-1_093086_2022-03-23_final
2022-03-27 08:45:35	ga_ls7e_ard_3-2-1_098076_2022-03-26_final
2022-03-29 08:36:14	ga_ls7e_ard_3-2-1_096084_2022-03-28_final
2022-03-29 10:13:31	ga_ls7e_ard_3-2-1_112080_2022-03-29_final
2022-03-31 09:58:10	ga_ls7e_ard_3-2-1_110073_2022-03-31_final
2022-04-01 09:04:03	ga_ls7e_ard_3-2-1_101077_2022-03-31_final
2022-04-02 08:11:07	ga_ls7e_ard_3-2-1_092084_2022-04-01_final
2022-04-04 07:56:10	ga_ls7e_ard_3-2-1_090078_2022-04-03_final
2022-04-04 09:36:15	ga_ls7e_ard_3-2-1_106081_2022-04-04_final
2022-04-05 08:36:32	ga_ls7e_ard_3-2-1_097071_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