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
2002-11-16 09:00:53	ga_ls7e_ard_3-1-0_089081_2002-11-15_final
2002-12-05 09:28:53	ga_ls7e_ard_3-1-0_094073_2002-12-04_final
2003-11-15 09:28:36	ga_ls7e_ard_3-1-0_093087_2003-11-14_final
2004-01-25 09:30:04	ga_ls7e_ard_3-1-0_094074_2004-01-25_final
2005-02-02 10:30:42	ga_ls7e_ard_3-1-0_104070_2005-02-02_final
2005-05-22 10:00:43	ga_ls7e_ard_3-1-0_099072_2005-05-22_final
2005-12-11 11:23:05	ga_ls7e_ard_3-1-0_112077_2005-12-11_final
2006-01-07 09:30:14	ga_ls7e_ard_3-1-0_093088_2006-01-07_final
2006-07-09 09:34:27	ga_ls7e_ard_3-1-0_094083_2006-07-09_final
2006-08-19 09:30:05	ga_ls7e_ard_3-1-0_093088_2006-08-19_final
2007-02-02 09:34:57	ga_ls7e_ard_3-1-0_094083_2007-02-02_final
2007-12-23 09:11:01	ga_ls7e_ard_3-1-0_090085_2007-12-22_final
2008-10-02 09:33:21	ga_ls7e_ard_3-1-0_094083_2008-10-02_final
2008-10-18 09:33:20	ga_ls7e_ard_3-1-0_094083_2008-10-18_final
2008-12-24 10:05:29	ga_ls7e_ard_3-1-0_099084_2008-12-24_final
2009-04-18 10:31:35	ga_ls7e_ard_3-1-0_104070_2009-04-18_final
2009-07-10 09:29:59	ga_ls7e_ard_3-1-0_093086_2009-07-09_final
2009-07-23 10:31:31	ga_ls7e_ard_3-1-0_104070_2009-07-23_final
2009-08-24 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-08-24_final
2009-11-04 11:26:43	ga_ls7e_ard_3-1-0_112084_2009-11-04_final
2010-09-16 10:13:11	ga_ls7e_ard_3-1-0_100081_2010-09-16_final
2010-12-04 09:32:58	ga_ls7e_ard_3-1-0_093087_2010-12-04_final
2011-01-10 11:26:43	ga_ls7e_ard_3-1-0_112077_2011-01-10_final
2011-06-27 10:34:45	ga_ls7e_ard_3-1-0_104070_2011-06-27_final
2011-07-16 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-07-16_final
2011-11-10 11:26:58	ga_ls7e_ard_3-1-0_112077_2011-11-10_final
2011-12-07 09:33:48	ga_ls7e_ard_3-1-0_093087_2011-12-07_final
2012-09-20 09:35:30	ga_ls7e_ard_3-1-0_093087_2012-09-20_final
2012-12-22 10:37:22	ga_ls7e_ard_3-1-0_104070_2012-12-22_final
2013-02-22 09:16:51	ga_ls7e_ard_3-1-0_090085_2013-02-21_final
2013-05-12 10:12:11	ga_ls7e_ard_3-1-0_099085_2013-05-12_final
2015-07-11 09:38:09	ga_ls7e_ard_3-1-0_093083_2015-07-11_final
2017-01-18 10:43:20	ga_ls7e_ard_3-1-0_104070_2017-01-18_final
2017-04-18 09:46:59	ga_ls7e_ard_3-1-0_094083_2017-04-18_final
2017-09-18 09:42:36	ga_ls7e_ard_3-1-0_093087_2017-09-18_final
2017-11-02 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-11-02_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2018-01-24 09:41:51	ga_ls7e_ard_3-1-0_093087_2018-01-24_final
2018-04-26 11:41:24	ga_ls7e_ard_3-1-0_113080_2018-04-26_final
2019-02-17 11:27:38	ga_ls7e_ard_3-1-0_112078_2019-02-17_final
2019-02-18 10:33:11	ga_ls7e_ard_3-1-0_103081_2019-02-18_final
2019-03-01 10:15:30	ga_ls7e_ard_3-1-0_100084_2019-03-01_final
2019-03-10 10:07:26	ga_ls7e_ard_3-1-0_099080_2019-03-10_final
2019-03-11 09:15:46	ga_ls7e_ard_3-1-0_090090_2019-03-10_final
2019-03-12 11:34:41	ga_ls7e_ard_3-1-0_113082_2019-03-12_final
2019-03-16 11:05:03	ga_ls7e_ard_3-1-0_109070_2019-03-16_final
2019-03-21 11:28:37	ga_ls7e_ard_3-1-0_112083_2019-03-21_final
2019-03-29 10:37:18	ga_ls7e_ard_3-1-0_104079_2019-03-29_final
2019-07-06 09:28:52	ga_ls7e_ard_3-1-0_093087_2019-07-05_final
2019-07-22 09:28:14	ga_ls7e_ard_3-1-0_093087_2019-07-21_final
2019-08-23 10:59:01	ga_ls7e_ard_3-1-0_109070_2019-08-23_final
2019-09-02 09:59:58	ga_ls7e_ard_3-1-0_099078_2019-09-02_final
2019-09-18 09:55:41	ga_ls7e_ard_3-1-0_099069_2019-09-18_final
2019-09-21 10:28:02	ga_ls7e_ard_3-1-0_104073_2019-09-21_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
2019-10-10 10:59:45	ga_ls7e_ard_3-1-0_109077_2019-10-10_final
2019-10-22 11:23:09	ga_ls7e_ard_3-1-0_113075_2019-10-22_final
2019-11-07 11:26:02	ga_ls7e_ard_3-1-0_113084_2019-11-07_final
2019-11-08 10:24:23	ga_ls7e_ard_3-1-0_104069_2019-11-08_final
2019-11-12 10:02:17	ga_ls7e_ard_3-1-0_100076_2019-11-12_final
2019-11-17 10:18:35	ga_ls7e_ard_3-1-0_103071_2019-11-17_final
2019-11-17 10:20:59	ga_ls7e_ard_3-1-0_103077_2019-11-17_final
2019-11-24 10:24:50	ga_ls7e_ard_3-1-0_104072_2019-11-24_final
2019-11-28 10:04:43	ga_ls7e_ard_3-1-0_100084_2019-11-28_final
2019-11-29 10:43:56	ga_ls7e_ard_3-1-0_107074_2019-11-29_final
2019-11-29 10:47:08	ga_ls7e_ard_3-1-0_107082_2019-11-29_final
2019-12-13 10:54:00	ga_ls7e_ard_3-1-0_109070_2019-12-13_final
2019-12-24 08:58:49	ga_ls7e_ard_3-1-0_090077_2019-12-23_final
2020-01-10 11:21:40	ga_ls7e_ard_3-1-0_113081_2020-01-10_final
2020-01-19 11:12:39	ga_ls7e_ard_3-1-0_112075_2020-01-19_final
2020-01-19 11:13:27	ga_ls7e_ard_3-1-0_112077_2020-01-19_final
2020-01-20 10:14:12	ga_ls7e_ard_3-1-0_103068_2020-01-20_final
2020-01-20 10:18:59	ga_ls7e_ard_3-1-0_103080_2020-01-20_final
2020-01-31 09:59:06	ga_ls7e_ard_3-1-0_100078_2020-01-31_final
2020-02-04 11:14:39	ga_ls7e_ard_3-1-0_112082_2020-02-04_final
2020-02-06 09:24:54	ga_ls7e_ard_3-1-0_094086_2020-02-05_final
2020-02-09 09:50:04	ga_ls7e_ard_3-1-0_099072_2020-02-09_final
2020-02-09 09:53:15	ga_ls7e_ard_3-1-0_099080_2020-02-09_final
2020-02-21 10:16:33	ga_ls7e_ard_3-1-0_103078_2020-02-21_final
2020-03-12 09:52:21	ga_ls7e_ard_3-1-0_099082_2020-03-12_final
2020-03-13 08:55:29	ga_ls7e_ard_3-1-0_090079_2020-03-12_final
2020-03-29 08:54:12	ga_ls7e_ard_3-1-0_090078_2020-03-28_final
2020-04-16 10:17:17	ga_ls7e_ard_3-1-0_104072_2020-04-16_final
2020-04-19 09:13:55	ga_ls7e_ard_3-1-0_093084_2020-04-18_final
2020-04-19 09:14:43	ga_ls7e_ard_3-1-0_093086_2020-04-18_final
2020-04-26 09:15:18	ga_ls7e_ard_3-1-0_094073_2020-04-25_final
2022-03-20 10:20:56	ga_ls7e_ard_3-2-1_113081_2022-03-20_final
2022-03-23 09:09:29	ga_ls7e_ard_3-2-1_102073_2022-03-22_final
2022-03-24 08:18:34	ga_ls7e_ard_3-2-1_093085_2022-03-23_final
2022-03-25 08:56:32	ga_ls7e_ard_3-2-1_100072_2022-03-24_final
2022-03-27 08:44:00	ga_ls7e_ard_3-2-1_098072_2022-03-26_final
2022-03-27 08:44:47	ga_ls7e_ard_3-2-1_098074_2022-03-26_final
2022-03-27 08:45:35	ga_ls7e_ard_3-2-1_098076_2022-03-26_final
2022-03-29 08:31:51	ga_ls7e_ard_3-2-1_096073_2022-03-28_final
2022-03-29 10:14:43	ga_ls7e_ard_3-2-1_112083_2022-03-29_final
2022-04-01 09:04:27	ga_ls7e_ard_3-2-1_101078_2022-03-31_final
2022-04-02 08:07:56	ga_ls7e_ard_3-2-1_092076_2022-04-01_final
2022-04-03 08:49:30	ga_ls7e_ard_3-2-1_099072_2022-04-02_final
2022-04-05 08:40:08	ga_ls7e_ard_3-2-1_097080_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