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

59 results

Time (local)	Label
2000-11-15 09:24:35	ga_ls7e_ard_3-0-0_092088_2000-11-14_final
2001-04-03 09:06:11	ga_ls7e_ard_3-1-0_089089_2001-04-02_final
2001-04-05 10:25:05	ga_ls7e_ard_3-0-0_103070_2001-04-05_final
2001-04-25 10:04:23	ga_ls7e_ard_3-0-0_099080_2001-04-25_final
2003-02-11 09:06:10	ga_ls7e_ard_3-0-0_090077_2003-02-10_final
2003-04-30 09:22:37	ga_ls7e_ard_3-0-0_092087_2003-04-29_final
2003-09-21 09:17:40	ga_ls7e_ard_3-0-0_092076_2003-09-20_final
2003-11-25 10:04:11	ga_ls7e_ard_3-0-0_099083_2003-11-25_final
2004-06-28 09:17:05	ga_ls7e_ard_3-0-0_091088_2004-06-27_final
2004-09-22 10:14:06	ga_ls7e_ard_3-0-0_101077_2004-09-22_final
2004-11-29 09:47:51	ga_ls7e_ard_3-0-0_097072_2004-11-29_final
2005-01-10 10:26:26	ga_ls7e_ard_3-0-0_103075_2005-01-10_final
2005-01-21 10:09:06	ga_ls7e_ard_3-0-0_100078_2005-01-21_final
2005-04-02 10:15:08	ga_ls7e_ard_3-0-0_101077_2005-04-02_final
2005-08-14 09:40:56	ga_ls7e_ard_3-0-0_095085_2005-08-14_final
2005-12-06 09:29:38	ga_ls7e_ard_3-0-0_093087_2005-12-05_final
2005-12-11 11:21:53	ga_ls7e_ard_3-0-0_112074_2005-12-11_final
2005-12-24 09:18:32	ga_ls7e_ard_3-0-0_091090_2005-12-23_final
2006-02-12 09:01:46	ga_ls7e_ard_3-0-0_089078_2006-02-11_final
2006-05-01 09:13:19	ga_ls7e_ard_3-0-0_091076_2006-04-30_final
2006-05-25 10:03:11	ga_ls7e_ard_3-0-0_099077_2006-05-25_final
2006-08-15 09:53:13	ga_ls7e_ard_3-0-0_097084_2006-08-15_final
2007-01-05 10:45:00	ga_ls7e_ard_3-0-0_106073_2007-01-05_final
2007-03-09 10:00:02	ga_ls7e_ard_3-0-0_099068_2007-03-09_final
2007-03-23 10:16:01	ga_ls7e_ard_3-0-0_101077_2007-03-23_final
2007-11-05 09:11:07	ga_ls7e_ard_3-0-0_090086_2007-11-04_final
2008-12-20 10:28:58	ga_ls7e_ard_3-0-0_103081_2008-12-20_final
2009-01-02 09:56:57	ga_ls7e_ard_3-0-0_098078_2009-01-02_final
2009-01-14 10:18:34	ga_ls7e_ard_3-0-0_102070_2009-01-14_final
2009-01-14 10:22:57	ga_ls7e_ard_3-0-0_102081_2009-01-14_final
2009-06-27 09:54:56	ga_ls7e_ard_3-0-0_098071_2009-06-27_final
2009-07-20 10:01:02	ga_ls7e_ard_3-0-0_099071_2009-07-20_final
2009-07-20 11:43:06	ga_ls7e_ard_3-0-0_115079_2009-07-20_final
2010-05-04 10:06:29	ga_ls7e_ard_3-0-0_099080_2010-05-04_final
2010-11-22 09:07:19	ga_ls7e_ard_3-0-0_089085_2010-11-21_final
2011-08-11 10:06:32	ga_ls7e_ard_3-0-0_099077_2011-08-11_final
2012-08-05 09:22:16	ga_ls7e_ard_3-1-0_091086_2012-08-04_final
2013-05-19 10:15:34	ga_ls7e_ard_3-0-0_100078_2013-05-19_final
2013-08-06 09:34:29	ga_ls7e_ard_3-0-0_093085_2013-08-06_final
2013-09-03 11:36:21	ga_ls7e_ard_3-0-0_113080_2013-09-03_final
2013-12-08 09:54:19	ga_ls7e_ard_3-0-0_097070_2013-12-08_final
2013-12-11 10:25:13	ga_ls7e_ard_3-0-0_102070_2013-12-11_final
2014-08-14 11:33:31	ga_ls7e_ard_3-0-0_112083_2014-08-14_final
2014-11-23 10:12:12	ga_ls7e_ard_3-0-0_099079_2014-11-23_final
2015-01-27 09:16:07	ga_ls7e_ard_3-0-0_090077_2015-01-26_final
2017-04-29 09:31:18	ga_ls7e_ard_3-0-0_091090_2017-04-29_final
2019-07-15 09:17:32	ga_ls7e_ard_3-0-0_092075_2019-07-14_final
2019-12-16 11:23:33	ga_ls7e_ard_3-1-0_114067_2019-12-16_final
2020-02-04 11:08:40	ga_ls7e_ard_3-1-0_112067_2020-02-04_final
2020-02-04 11:11:51	ga_ls7e_ard_3-1-0_112075_2020-02-04_final
2020-06-16 09:45:32	ga_ls7e_ard_3-1-0_099079_2020-06-16_final
2020-11-19 10:01:03	ga_ls7e_ard_3-1-0_103081_2020-11-19_final
2021-02-13 09:14:09	ga_ls7e_ard_3-2-0_097072_2021-02-12_final
2021-04-22 10:24:03	ga_ls7e_ard_3-2-0_109075_2021-04-22_final
2021-05-03 10:02:36	ga_ls7e_ard_3-2-0_106070_2021-05-03_final
2021-05-16 09:33:24	ga_ls7e_ard_3-2-0_101077_2021-05-16_final
2021-07-29 08:26:58	ga_ls7e_ard_3-2-0_091081_2021-07-28_final
2022-01-19 08:26:05	ga_ls7e_ard_3-2-1_093088_2022-01-18_final
2022-04-03 10:31:10	ga_ls7e_ard_3-2-1_115079_2022-04-03_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years