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
2000-03-08 10:33:47	ga_ls7e_ard_3-1-0_104070_2000-03-08_final
2002-06-22 10:10:34	ga_ls7e_ard_3-1-0_100084_2002-06-22_final
2003-03-20 09:28:43	ga_ls7e_ard_3-1-0_093087_2003-03-19_final
2003-08-24 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-08-24_final
2003-11-15 09:28:36	ga_ls7e_ard_3-1-0_093087_2003-11-14_final
2004-01-15 10:30:09	ga_ls7e_ard_3-1-0_104070_2004-01-15_final
2004-06-23 10:30:15	ga_ls7e_ard_3-1-0_104070_2004-06-23_final
2005-10-16 10:30:22	ga_ls7e_ard_3-1-0_104070_2005-10-16_final
2006-01-07 09:29:50	ga_ls7e_ard_3-1-0_093087_2006-01-06_final
2006-02-24 09:30:07	ga_ls7e_ard_3-1-0_093087_2006-02-24_final
2006-06-16 09:28:26	ga_ls7e_ard_3-1-0_093083_2006-06-15_final
2006-07-15 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-07-15_final
2006-09-30 10:04:08	ga_ls7e_ard_3-1-0_099081_2006-09-30_final
2006-12-06 10:31:21	ga_ls7e_ard_3-1-0_104070_2006-12-06_final
2007-10-09 09:30:08	ga_ls7e_ard_3-1-0_093088_2007-10-09_final
2008-03-01 09:30:14	ga_ls7e_ard_3-1-0_093087_2008-03-01_final
2008-03-17 09:30:10	ga_ls7e_ard_3-1-0_093087_2008-03-17_final
2008-07-04 10:30:46	ga_ls7e_ard_3-1-0_104070_2008-07-04_final
2008-08-05 10:30:27	ga_ls7e_ard_3-1-0_104070_2008-08-05_final
2008-08-21 10:30:21	ga_ls7e_ard_3-1-0_104070_2008-08-21_final
2008-12-27 10:30:49	ga_ls7e_ard_3-1-0_104070_2008-12-27_final
2009-07-10 09:28:47	ga_ls7e_ard_3-1-0_093083_2009-07-09_final
2009-10-27 10:31:34	ga_ls7e_ard_3-1-0_104070_2009-10-27_final
2009-11-28 10:31:59	ga_ls7e_ard_3-1-0_104070_2009-11-28_final
2009-12-01 09:30:02	ga_ls7e_ard_3-1-0_093085_2009-12-01_final
2010-01-19 10:11:40	ga_ls7e_ard_3-1-0_100079_2010-01-19_final
2010-05-23 10:33:20	ga_ls7e_ard_3-1-0_104070_2010-05-23_final
2010-08-11 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-08-11_final
2013-01-23 10:39:48	ga_ls7e_ard_3-1-0_104076_2013-01-23_final
2014-06-03 10:38:37	ga_ls7e_ard_3-1-0_104070_2014-06-03_final
2014-07-21 10:38:47	ga_ls7e_ard_3-1-0_104070_2014-07-21_final
2014-09-20 10:14:02	ga_ls7e_ard_3-1-0_099085_2014-09-20_final
2016-11-18 09:40:58	ga_ls7e_ard_3-1-0_093083_2016-11-18_final
2017-10-17 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-10-17_final
2017-11-18 10:43:48	ga_ls7e_ard_3-1-0_104070_2017-11-18_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2018-05-29 10:41:14	ga_ls7e_ard_3-1-0_104070_2018-05-29_final
2018-06-30 10:40:39	ga_ls7e_ard_3-1-0_104070_2018-06-30_final
2018-07-16 10:40:20	ga_ls7e_ard_3-1-0_104070_2018-07-16_final
2018-08-01 10:40:04	ga_ls7e_ard_3-1-0_104070_2018-08-01_final
2018-09-02 10:39:26	ga_ls7e_ard_3-1-0_104070_2018-09-02_final
2018-12-26 09:33:51	ga_ls7e_ard_3-1-0_093083_2018-12-26_final
2019-03-13 10:34:15	ga_ls7e_ard_3-1-0_104070_2019-03-13_final
2019-03-13 10:37:02	ga_ls7e_ard_3-1-0_104077_2019-03-13_final
2019-09-08 09:25:50	ga_ls7e_ard_3-1-0_093086_2019-09-07_final
2019-09-09 10:08:15	ga_ls7e_ard_3-1-0_100084_2019-09-09_final
2019-09-10 10:49:52	ga_ls7e_ard_3-1-0_107080_2019-09-10_final
2019-09-21 10:27:14	ga_ls7e_ard_3-1-0_104071_2019-09-21_final
2019-09-25 10:03:56	ga_ls7e_ard_3-1-0_100075_2019-09-25_final
2019-09-26 10:49:09	ga_ls7e_ard_3-1-0_107080_2019-09-26_final
2019-10-04 10:00:11	ga_ls7e_ard_3-1-0_099082_2019-10-04_final
2019-10-11 10:06:52	ga_ls7e_ard_3-1-0_100084_2019-10-11_final
2019-10-16 10:23:36	ga_ls7e_ard_3-1-0_103080_2019-10-16_final
2019-10-23 10:25:06	ga_ls7e_ard_3-1-0_104069_2019-10-23_final
2019-10-28 10:48:13	ga_ls7e_ard_3-1-0_107081_2019-10-28_final
2019-11-05 09:56:01	ga_ls7e_ard_3-1-0_099075_2019-11-05_final
2019-11-11 09:18:16	ga_ls7e_ard_3-1-0_093074_2019-11-10_final
2019-11-13 10:46:41	ga_ls7e_ard_3-1-0_107079_2019-11-13_final
2019-11-24 10:24:02	ga_ls7e_ard_3-1-0_104070_2019-11-24_final
2019-11-24 10:24:26	ga_ls7e_ard_3-1-0_104071_2019-11-24_final
2019-11-24 10:27:14	ga_ls7e_ard_3-1-0_104078_2019-11-24_final
2019-12-03 10:19:01	ga_ls7e_ard_3-1-0_103074_2019-12-03_final
2019-12-07 09:57:18	ga_ls7e_ard_3-1-0_099082_2019-12-07_final
2019-12-10 10:23:15	ga_ls7e_ard_3-1-0_104070_2019-12-10_final
2019-12-13 09:18:19	ga_ls7e_ard_3-1-0_093078_2019-12-12_final
2019-12-31 10:43:31	ga_ls7e_ard_3-1-0_107077_2019-12-31_final
2020-01-04 10:17:23	ga_ls7e_ard_3-1-0_103074_2020-01-04_final
2020-01-04 10:18:35	ga_ls7e_ard_3-1-0_103077_2020-01-04_final
2020-01-16 10:43:54	ga_ls7e_ard_3-1-0_107080_2020-01-16_final
2020-01-30 09:15:53	ga_ls7e_ard_3-1-0_093078_2020-01-29_final
2020-01-30 09:17:53	ga_ls7e_ard_3-1-0_093083_2020-01-29_final
2020-01-31 10:00:18	ga_ls7e_ard_3-1-0_100081_2020-01-31_final
2020-02-05 10:18:11	ga_ls7e_ard_3-1-0_103080_2020-02-05_final
2020-02-15 09:15:04	ga_ls7e_ard_3-1-0_093078_2020-02-14_final
2020-02-28 10:21:58	ga_ls7e_ard_3-1-0_104077_2020-02-28_final
2020-03-18 09:13:21	ga_ls7e_ard_3-1-0_093078_2020-03-17_final
2020-03-31 10:19:00	ga_ls7e_ard_3-1-0_104074_2020-03-31_final
2020-04-04 09:54:51	ga_ls7e_ard_3-1-0_100076_2020-04-04_final
2020-04-05 10:40:03	ga_ls7e_ard_3-1-0_107081_2020-04-05_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
2020-04-19 09:15:31	ga_ls7e_ard_3-1-0_093088_2020-04-18_final
2020-04-21 10:35:08	ga_ls7e_ard_3-1-0_107071_2020-04-21_final
2022-03-14 09:16:32	ga_ls7e_ard_3-2-1_103073_2022-03-13_final
2022-03-15 10:00:54	ga_ls7e_ard_3-2-1_110076_2022-03-15_final
2022-03-15 10:01:18	ga_ls7e_ard_3-2-1_110077_2022-03-15_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-21 09:20:26	ga_ls7e_ard_3-2-1_104069_2022-03-20_final
2022-03-24 08:14:34	ga_ls7e_ard_3-2-1_093075_2022-03-23_final
2022-03-24 09:56:39	ga_ls7e_ard_3-2-1_109083_2022-03-24_final
2022-03-26 08:02:49	ga_ls7e_ard_3-2-1_091077_2022-03-25_final
2022-03-26 08:06:01	ga_ls7e_ard_3-2-1_091085_2022-03-25_final
2022-03-26 08:06:25	ga_ls7e_ard_3-2-1_091086_2022-03-25_final
2022-03-26 09:40:30	ga_ls7e_ard_3-2-1_107074_2022-03-26_final
2022-03-26 09:40:54	ga_ls7e_ard_3-2-1_107075_2022-03-26_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_final
2022-03-31 08:19:41	ga_ls7e_ard_3-2-1_094074_2022-03-30_final
2022-04-02 08:10:20	ga_ls7e_ard_3-2-1_092082_2022-04-01_final
2022-04-04 09:33:27	ga_ls7e_ard_3-2-1_106074_2022-04-04_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