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

47 results

Time (local)	Label
1999-10-30 10:51:16	ga_ls7e_ard_3-0-0_106082_1999-10-30_final
2000-08-03 10:10:27	ga_ls7e_ard_3-0-0_100077_2000-08-03_final
2000-12-01 10:58:18	ga_ls7e_ard_3-1-0_108075_2000-12-01_final
2001-06-29 10:42:08	ga_ls7e_ard_3-0-0_106068_2001-06-29_final
2001-08-30 10:54:15	ga_ls7e_ard_3-0-0_108069_2001-08-30_final
2004-07-08 11:27:50	ga_ls7e_ard_3-0-0_113075_2004-07-08_final
2004-12-28 09:22:22	ga_ls7e_ard_3-0-0_092085_2004-12-27_final
2005-06-14 10:11:33	ga_ls7e_ard_3-0-0_100084_2005-06-14_final
2006-01-02 09:12:27	ga_ls7e_ard_3-0-0_090090_2006-01-01_final
2006-04-25 09:47:59	ga_ls7e_ard_3-0-0_097070_2006-04-25_final
2006-11-15 10:14:13	ga_ls7e_ard_3-0-0_101074_2006-11-15_final
2006-12-06 10:30:33	ga_ls7e_ard_3-0-0_104068_2006-12-06_final
2006-12-26 10:11:54	ga_ls7e_ard_3-0-0_100083_2006-12-26_final
2007-02-13 09:18:29	ga_ls7e_ard_3-0-0_091088_2007-02-12_final
2007-06-30 10:43:02	ga_ls7e_ard_3-0-0_106068_2007-06-30_final
2008-01-06 10:55:54	ga_ls7e_ard_3-0-0_108069_2008-01-06_final
2008-08-09 10:06:54	ga_ls7e_ard_3-0-0_100073_2008-08-09_final
2008-12-29 10:19:40	ga_ls7e_ard_3-0-0_102073_2008-12-29_final
2009-11-10 10:49:19	ga_ls7e_ard_3-0-0_106083_2009-11-10_final
2011-02-15 11:04:34	ga_ls7e_ard_3-0-0_108083_2011-02-15_final
2011-03-20 10:07:52	ga_ls7e_ard_3-0-0_099080_2011-03-20_final
2011-07-29 10:39:29	ga_ls7e_ard_3-0-0_104082_2011-07-29_final
2011-08-31 09:40:10	ga_ls7e_ard_3-1-0_095073_2011-08-31_final
2011-09-30 09:56:24	ga_ls7e_ard_3-0-0_097083_2011-09-30_final
2012-07-23 09:52:38	ga_ls7e_ard_3-0-0_096085_2012-07-23_final
2013-06-04 10:17:23	ga_ls7e_ard_3-0-0_100083_2013-06-04_final
2013-06-17 11:22:08	ga_ls7e_ard_3-0-0_111075_2013-06-17_final
2013-11-14 10:44:23	ga_ls7e_ard_3-0-0_105072_2013-11-14_final
2013-12-22 11:49:10	ga_ls7e_ard_3-0-0_115079_2013-12-22_final
2013-12-31 10:05:46	ga_ls7e_ard_3-0-0_098083_2013-12-31_final
2014-03-25 11:16:25	ga_ls7e_ard_3-0-0_110073_2014-03-25_final
2015-09-17 09:14:27	ga_ls7e_ard_3-0-0_089085_2015-09-16_final
2017-10-23 11:48:52	ga_ls7e_ard_3-0-0_114078_2017-10-23_final
2018-01-03 10:56:08	ga_ls7e_ard_3-0-0_106071_2018-01-03_final
2018-02-12 10:10:53	ga_ls7e_ard_3-0-0_098083_2018-02-12_final
2018-06-10 09:34:27	ga_ls7e_ard_3-0-0_092089_2018-06-10_final
2018-08-28 10:21:24	ga_ls7e_ard_3-0-0_101071_2018-08-28_final
2019-01-16 09:46:33	ga_ls7e_ard_3-0-0_096070_2019-01-16_final
2019-08-02 09:08:51	ga_ls7e_ard_3-0-0_090086_2019-08-01_final
2019-09-26 09:09:04	ga_ls7e_ard_3-1-0_091077_2019-09-25_final
2020-02-01 10:44:42	ga_ls7e_ard_3-1-0_107084_2020-02-01_final
2020-11-20 10:41:51	ga_ls7e_ard_3-1-0_110075_2020-11-20_final
2021-03-19 09:03:09	ga_ls7e_ard_3-2-0_095082_2021-03-18_final
2021-08-16 09:49:05	ga_ls7e_ard_3-2-0_105074_2021-08-16_final
2021-12-18 08:27:36	ga_ls7e_ard_3-2-1_093084_2021-12-17_final
2022-01-17 08:37:26	ga_ls7e_ard_3-2-1_095085_2022-01-16_final
2022-01-29 08:57:00	ga_ls7e_ard_3-2-1_099075_2022-01-28_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