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

58 results

Time (local)	Label
2000-12-07 10:23:34	ga_ls7e_ard_3-0-0_102081_2000-12-07_final
2000-12-25 10:09:45	ga_ls7e_ard_3-0-0_100077_2000-12-25_final
2001-05-02 10:06:59	ga_ls7e_ard_3-0-0_100071_2001-05-02_final
2002-12-21 11:08:36	ga_ls7e_ard_3-0-0_110075_2002-12-21_final
2003-04-15 09:59:53	ga_ls7e_ard_3-0-0_099072_2003-04-15_final
2003-05-02 10:44:21	ga_ls7e_ard_3-1-0_106075_2003-05-02_final
2003-08-21 10:01:31	ga_ls7e_ard_3-0-0_099077_2003-08-21_final
2003-10-27 10:34:24	ga_ls7e_ard_3-0-0_104082_2003-10-27_final
2004-01-20 09:17:52	ga_ls7e_ard_3-0-0_091090_2004-01-19_final
2004-06-25 10:18:17	ga_ls7e_ard_3-0-0_102071_2004-06-25_final
2004-07-04 10:16:29	ga_ls7e_ard_3-0-0_101082_2004-07-04_final
2004-10-21 09:46:29	ga_ls7e_ard_3-0-0_096085_2004-10-21_final
2004-10-21 11:20:58	ga_ls7e_ard_3-0-0_112074_2004-10-21_final
2004-12-12 10:56:43	ga_ls7e_ard_3-0-0_108074_2004-12-12_final
2005-02-06 10:07:13	ga_ls7e_ard_3-0-0_100073_2005-02-06_final
2005-08-17 10:11:25	ga_ls7e_ard_3-0-0_100084_2005-08-17_final
2005-09-05 10:38:34	ga_ls7e_ard_3-0-0_105075_2005-09-05_final
2005-10-14 10:44:41	ga_ls7e_ard_3-1-0_106075_2005-10-14_final
2006-04-24 10:42:48	ga_ls7e_ard_3-0-0_106068_2006-04-24_final
2006-05-10 09:11:57	ga_ls7e_ard_3-0-0_090088_2006-05-09_final
2006-08-04 10:08:59	ga_ls7e_ard_3-0-0_100077_2006-08-04_final
2008-01-08 10:43:57	ga_ls7e_ard_3-0-0_106070_2008-01-08_final
2008-01-31 09:18:24	ga_ls7e_ard_3-0-0_091088_2008-01-30_final
2008-12-29 10:22:52	ga_ls7e_ard_3-0-0_102081_2008-12-29_final
2009-01-19 10:36:44	ga_ls7e_ard_3-0-0_105069_2009-01-19_final
2009-02-06 10:29:15	ga_ls7e_ard_3-0-0_103081_2009-02-06_final
2009-05-21 11:16:32	ga_ls7e_ard_3-0-0_111074_2009-05-21_final
2009-06-13 11:19:54	ga_ls7e_ard_3-0-0_112067_2009-06-13_final
2010-11-28 11:44:29	ga_ls7e_ard_3-0-0_115076_2010-11-28_final
2011-07-18 09:21:35	ga_ls7e_ard_3-0-0_091088_2011-07-17_final
2011-07-31 10:26:43	ga_ls7e_ard_3-0-0_102081_2011-07-31_final
2014-05-16 10:54:54	ga_ls7e_ard_3-0-0_106080_2014-05-16_final
2015-02-12 09:16:09	ga_ls7e_ard_3-0-0_090077_2015-02-11_final
2016-03-05 11:27:17	ga_ls7e_ard_3-0-0_111072_2016-03-05_final
2016-03-25 09:25:25	ga_ls7e_ard_3-0-0_091076_2016-03-24_final
2017-02-10 10:51:18	ga_ls7e_ard_3-0-0_105075_2017-02-10_final
2017-02-15 09:36:12	ga_ls7e_ard_3-0-0_092088_2017-02-15_final
2017-02-15 09:36:36	ga_ls7e_ard_3-0-0_092089_2017-02-15_final
2017-02-25 10:06:11	ga_ls7e_ard_3-0-0_098070_2017-02-25_final
2017-02-26 10:48:40	ga_ls7e_ard_3-0-0_105068_2017-02-26_final
2017-03-29 10:06:47	ga_ls7e_ard_3-0-0_098071_2017-03-29_final
2017-04-11 11:16:02	ga_ls7e_ard_3-0-0_109074_2017-04-11_final
2018-04-08 10:16:46	ga_ls7e_ard_3-0-0_099084_2018-04-08_final
2019-02-16 09:07:31	ga_ls7e_ard_3-1-0_089083_2019-02-15_final
2019-08-21 09:33:22	ga_ls7e_ard_3-0-0_095072_2019-08-21_final
2019-09-06 11:12:22	ga_ls7e_ard_3-1-0_111074_2019-09-06_final
2020-02-14 10:11:56	ga_ls7e_ard_3-1-0_102081_2020-02-14_final
2020-07-18 09:40:49	ga_ls7e_ard_3-1-0_099072_2020-07-18_final
2020-10-12 10:38:42	ga_ls7e_ard_3-1-0_109076_2020-10-12_final
2020-10-23 08:40:58	ga_ls7e_ard_3-1-0_090077_2020-10-22_final
2021-01-16 10:30:22	ga_ls7e_ard_3-1-0_109072_2021-01-16_final
2021-02-03 08:39:25	ga_ls7e_ard_3-2-0_091076_2021-02-02_final
2021-08-05 08:34:31	ga_ls7e_ard_3-2-0_092086_2021-08-04_final
2021-08-27 09:32:24	ga_ls7e_ard_3-2-0_102081_2021-08-27_final
2021-09-20 08:42:27	ga_ls7e_ard_3-2-0_094085_2021-09-19_final
2021-12-18 10:06:29	ga_ls7e_ard_3-2-1_109084_2021-12-18_final
2022-01-04 09:06:22	ga_ls7e_ard_3-2-1_100077_2022-01-03_final
2022-03-03 07:58:54	ga_ls7e_ard_3-2-1_090077_2022-03-02_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