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
2000-12-13 11:26:39	ga_ls7e_ard_3-1-0_112084_2000-12-13_final
2002-01-17 11:25:03	ga_ls7e_ard_3-1-0_112084_2002-01-17_final
2003-03-15 09:09:25	ga_ls7e_ard_3-1-0_090085_2003-03-14_final
2003-09-23 09:10:53	ga_ls7e_ard_3-1-0_090090_2003-09-22_final
2003-09-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2003-09-25_final
2003-09-25 10:29:49	ga_ls7e_ard_3-1-0_104071_2003-09-25_final
2003-11-06 09:33:02	ga_ls7e_ard_3-1-0_094083_2003-11-06_final
2004-07-22 10:00:03	ga_ls7e_ard_3-1-0_099072_2004-07-22_final
2004-10-27 09:09:29	ga_ls7e_ard_3-1-0_090085_2004-10-26_final
2004-10-29 10:30:03	ga_ls7e_ard_3-1-0_104070_2004-10-29_final
2005-06-24 09:10:06	ga_ls7e_ard_3-1-0_090085_2005-06-23_final
2005-12-17 09:10:19	ga_ls7e_ard_3-1-0_090085_2005-12-16_final
2006-07-15 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-07-15_final
2006-08-25 10:29:29	ga_ls7e_ard_3-1-0_103082_2006-08-25_final
2006-09-01 10:30:51	ga_ls7e_ard_3-1-0_104070_2006-09-01_final
2006-12-09 09:30:10	ga_ls7e_ard_3-1-0_093087_2006-12-09_final
2007-02-21 10:01:35	ga_ls7e_ard_3-1-0_099072_2007-02-21_final
2007-03-31 09:30:10	ga_ls7e_ard_3-1-0_093086_2007-03-31_final
2007-11-10 09:30:06	ga_ls7e_ard_3-1-0_093087_2007-11-10_final
2007-12-09 10:31:30	ga_ls7e_ard_3-1-0_104070_2007-12-09_final
2008-06-15 10:00:04	ga_ls7e_ard_3-1-0_099070_2008-06-15_final
2008-07-02 09:09:03	ga_ls7e_ard_3-1-0_090082_2008-07-01_final
2008-07-20 10:30:34	ga_ls7e_ard_3-1-0_104070_2008-07-20_final
2009-01-28 10:30:59	ga_ls7e_ard_3-1-0_104070_2009-01-28_final
2009-06-19 09:11:06	ga_ls7e_ard_3-1-0_090085_2009-06-18_final
2009-10-11 10:31:17	ga_ls7e_ard_3-1-0_104070_2009-10-11_final
2010-02-20 10:12:03	ga_ls7e_ard_3-1-0_100079_2010-02-20_final
2010-02-24 11:28:15	ga_ls7e_ard_3-1-0_112084_2010-02-24_final
2010-03-07 09:30:31	ga_ls7e_ard_3-1-0_093083_2010-03-07_final
2010-09-19 09:08:24	ga_ls7e_ard_3-1-0_089089_2010-09-18_final
2010-12-31 09:13:51	ga_ls7e_ard_3-1-0_090085_2010-12-30_final
2011-01-21 09:33:22	ga_ls7e_ard_3-1-0_093087_2011-01-21_final
2012-03-12 09:26:09	ga_ls7e_ard_3-1-0_093067_2012-03-11_final
2012-04-13 09:34:05	ga_ls7e_ard_3-1-0_093087_2012-04-13_final
2016-10-12 09:23:27	ga_ls7e_ard_3-1-0_090085_2016-10-11_final
2017-07-29 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-07-29_final
2019-02-17 11:30:02	ga_ls7e_ard_3-1-0_112084_2019-02-17_final
2019-03-05 11:29:08	ga_ls7e_ard_3-1-0_112083_2019-03-05_final
2019-03-07 09:37:26	ga_ls7e_ard_3-1-0_094082_2019-03-07_final
2019-03-16 11:05:03	ga_ls7e_ard_3-1-0_109070_2019-03-16_final
2019-03-20 09:04:30	ga_ls7e_ard_3-1-0_089078_2019-03-19_final
2019-03-22 10:31:45	ga_ls7e_ard_3-1-0_103080_2019-03-22_final
2019-03-29 10:32:55	ga_ls7e_ard_3-1-0_104068_2019-03-29_final
2019-08-25 10:48:34	ga_ls7e_ard_3-1-0_107075_2019-08-25_final
2019-08-27 08:58:26	ga_ls7e_ard_3-1-0_089078_2019-08-26_final
2019-09-02 09:57:35	ga_ls7e_ard_3-1-0_099072_2019-09-02_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-12 08:57:44	ga_ls7e_ard_3-1-0_089078_2019-09-11_final
2019-09-18 09:54:53	ga_ls7e_ard_3-1-0_099067_2019-09-18_final
2019-09-19 09:08:00	ga_ls7e_ard_3-1-0_090089_2019-09-18_final
2019-09-26 10:45:10	ga_ls7e_ard_3-1-0_107070_2019-09-26_final
2019-09-26 10:47:33	ga_ls7e_ard_3-1-0_107076_2019-09-26_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
2019-10-15 11:20:28	ga_ls7e_ard_3-1-0_112083_2019-10-15_final
2019-10-17 09:28:45	ga_ls7e_ard_3-1-0_094082_2019-10-16_final
2019-10-28 10:44:13	ga_ls7e_ard_3-1-0_107071_2019-10-28_final
2019-10-31 11:19:46	ga_ls7e_ard_3-1-0_112083_2019-10-31_final
2019-11-02 09:28:03	ga_ls7e_ard_3-1-0_094082_2019-11-01_final
2019-11-02 09:28:27	ga_ls7e_ard_3-1-0_094083_2019-11-01_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-12 10:00:41	ga_ls7e_ard_3-1-0_100072_2019-11-12_final
2019-11-12 10:03:04	ga_ls7e_ard_3-1-0_100078_2019-11-12_final
2019-11-12 10:05:04	ga_ls7e_ard_3-1-0_100083_2019-11-12_final
2019-11-18 09:23:43	ga_ls7e_ard_3-1-0_094073_2019-11-17_final
2019-11-23 11:23:42	ga_ls7e_ard_3-1-0_113080_2019-11-23_final
2019-11-23 11:24:54	ga_ls7e_ard_3-1-0_113083_2019-11-23_final
2019-11-28 10:04:19	ga_ls7e_ard_3-1-0_100083_2019-11-28_final
2019-12-02 11:15:29	ga_ls7e_ard_3-1-0_112076_2019-12-02_final
2019-12-03 10:21:25	ga_ls7e_ard_3-1-0_103080_2019-12-03_final
2019-12-09 11:20:55	ga_ls7e_ard_3-1-0_113075_2019-12-09_final
2019-12-10 10:26:27	ga_ls7e_ard_3-1-0_104078_2019-12-10_final
2019-12-13 10:56:48	ga_ls7e_ard_3-1-0_109077_2019-12-13_final
2019-12-23 09:51:42	ga_ls7e_ard_3-1-0_099070_2019-12-23_final
2019-12-29 09:16:18	ga_ls7e_ard_3-1-0_093075_2019-12-28_final
2020-01-10 11:19:17	ga_ls7e_ard_3-1-0_113075_2020-01-10_final
2020-01-10 11:21:16	ga_ls7e_ard_3-1-0_113080_2020-01-10_final
2020-01-14 10:56:21	ga_ls7e_ard_3-1-0_109080_2020-01-14_final
2020-01-19 11:15:51	ga_ls7e_ard_3-1-0_112083_2020-01-19_final
2020-01-27 10:22:25	ga_ls7e_ard_3-1-0_104074_2020-01-27_final
2020-02-04 11:11:51	ga_ls7e_ard_3-1-0_112075_2020-02-04_final
2020-02-10 08:57:11	ga_ls7e_ard_3-1-0_090079_2020-02-09_final
2020-02-16 09:56:41	ga_ls7e_ard_3-1-0_100074_2020-02-16_final
2020-02-25 09:53:13	ga_ls7e_ard_3-1-0_099082_2020-02-25_final
2020-03-04 10:42:14	ga_ls7e_ard_3-1-0_107082_2020-03-04_final
2020-03-09 09:23:13	ga_ls7e_ard_3-1-0_094086_2020-03-08_final
2020-03-13 08:55:29	ga_ls7e_ard_3-1-0_090079_2020-03-12_final
2020-03-28 09:47:29	ga_ls7e_ard_3-1-0_099072_2020-03-28_final
2020-04-04 09:57:39	ga_ls7e_ard_3-1-0_100083_2020-04-04_final
2020-04-09 10:15:30	ga_ls7e_ard_3-1-0_103082_2020-04-09_final
2020-04-10 09:19:26	ga_ls7e_ard_3-1-0_094081_2020-04-09_final
2020-04-13 09:50:57	ga_ls7e_ard_3-1-0_099083_2020-04-13_final
2020-04-19 09:13:55	ga_ls7e_ard_3-1-0_093084_2020-04-18_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_2022-03-19_final
2022-03-21 09:22:02	ga_ls7e_ard_3-2-1_104073_2022-03-20_final
2022-03-24 09:56:39	ga_ls7e_ard_3-2-1_109083_2022-03-24_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_2022-03-24_final
2022-03-26 08:06:25	ga_ls7e_ard_3-2-1_091086_2022-03-25_final
2022-03-31 09:57:46	ga_ls7e_ard_3-2-1_110072_2022-03-31_final
2022-03-31 10:01:22	ga_ls7e_ard_3-2-1_110081_2022-03-31_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