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

45 results

Time (local)	Label
1999-07-15 09:32:50	ga_ls7e_ard_3-0-0_093087_1999-07-15_final
1999-09-17 09:31:40	ga_ls7e_ard_3-0-0_093084_1999-09-17_final
1999-11-13 10:58:26	ga_ls7e_ard_3-0-0_108069_1999-11-13_final
2001-07-31 09:10:15	ga_ls7e_ard_3-0-0_090086_2001-07-30_final
2003-01-17 10:53:48	ga_ls7e_ard_3-0-0_107084_2003-01-17_final
2003-01-26 10:45:17	ga_ls7e_ard_3-0-0_106078_2003-01-26_final
2003-01-29 09:35:42	ga_ls7e_ard_3-0-0_095074_2003-01-29_final
2003-07-30 10:38:16	ga_ls7e_ard_3-0-0_105076_2003-07-30_final
2003-10-06 10:12:02	ga_ls7e_ard_3-0-0_101073_2003-10-06_final
2003-11-10 10:46:04	ga_ls7e_ard_3-0-0_106080_2003-11-10_final
2004-04-19 11:27:34	ga_ls7e_ard_3-0-0_113074_2004-04-19_final
2004-07-31 09:55:23	ga_ls7e_ard_3-0-0_098076_2004-07-31_final
2004-09-26 09:49:45	ga_ls7e_ard_3-0-0_097078_2004-09-26_final
2005-02-02 08:56:36	ga_ls7e_ard_3-0-0_088082_2005-02-01_final
2008-05-21 10:06:52	ga_ls7e_ard_3-0-0_100071_2008-05-21_final
2008-06-09 09:02:19	ga_ls7e_ard_3-0-0_089080_2008-06-08_final
2008-12-05 11:13:17	ga_ls7e_ard_3-0-0_110084_2008-12-05_final
2009-01-01 09:18:30	ga_ls7e_ard_3-0-0_091090_2008-12-31_final
2009-01-16 10:08:12	ga_ls7e_ard_3-0-0_100075_2009-01-16_final
2009-03-06 09:17:21	ga_ls7e_ard_3-1-0_091086_2009-03-05_final
2009-09-17 11:26:25	ga_ls7e_ard_3-1-0_112084_2009-09-17_final
2010-03-30 11:14:54	ga_ls7e_ard_3-0-0_110081_2010-03-30_final
2010-12-13 09:22:28	ga_ls7e_ard_3-0-0_092076_2010-12-12_final
2011-01-31 10:06:30	ga_ls7e_ard_3-0-0_099077_2011-01-31_final
2011-05-15 09:20:50	ga_ls7e_ard_3-1-0_091086_2011-05-14_final
2011-10-04 09:33:18	ga_ls7e_ard_3-1-0_093087_2011-10-04_final
2011-11-26 09:51:28	ga_ls7e_ard_3-0-0_096085_2011-11-26_final
2012-03-21 11:01:16	ga_ls7e_ard_3-0-0_108073_2012-03-21_final
2012-04-21 10:17:15	ga_ls7e_ard_3-0-0_101071_2012-04-21_final
2013-09-07 09:35:59	ga_ls7e_ard_3-0-0_093088_2013-09-07_final
2014-02-14 11:09:43	ga_ls7e_ard_3-0-0_109072_2014-02-14_final
2014-10-04 10:23:47	ga_ls7e_ard_3-0-0_101078_2014-10-04_final
2015-01-27 10:53:49	ga_ls7e_ard_3-0-0_106074_2015-01-27_final
2015-04-01 09:20:57	ga_ls7e_ard_3-0-0_090088_2015-03-31_final
2017-03-13 11:47:35	ga_ls7e_ard_3-0-0_114076_2017-03-13_final
2017-04-15 10:49:21	ga_ls7e_ard_3-0-0_105069_2017-04-15_final
2017-11-19 11:28:39	ga_ls7e_ard_3-0-0_111074_2017-11-19_final
2019-05-30 09:12:53	ga_ls7e_ard_3-0-0_090090_2019-05-29_final
2019-07-21 10:21:30	ga_ls7e_ard_3-0-0_102081_2019-07-21_final
2019-11-10 10:14:44	ga_ls7e_ard_3-1-0_102076_2019-11-10_final
2020-12-08 08:54:54	ga_ls7e_ard_3-1-0_092089_2020-12-07_final
2021-01-16 10:31:33	ga_ls7e_ard_3-1-0_109075_2021-01-16_final
2021-02-10 08:45:04	ga_ls7e_ard_3-2-0_092076_2021-02-09_final
2021-09-18 10:26:41	ga_ls7e_ard_3-2-0_112067_2021-09-18_final
2022-03-10 09:45:39	ga_ls7e_ard_3-2-1_107083_2022-03-10_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