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

53 results

Time (local)	Label
1999-10-01 09:37:26	ga_ls7e_ard_3-0-0_095067_1999-10-01_final
1999-11-08 09:06:13	ga_ls7e_ard_3-0-0_089082_1999-11-07_final
2000-01-02 10:45:36	ga_ls7e_ard_3-0-0_106068_2000-01-02_final
2000-05-17 11:39:31	ga_ls7e_ard_3-0-0_114081_2000-05-17_final
2000-09-01 09:35:17	ga_ls7e_ard_3-0-0_095067_2000-09-01_final
2000-11-11 09:40:55	ga_ls7e_ard_3-0-0_096067_2000-11-11_final
2000-12-06 09:34:42	ga_ls7e_ard_3-0-0_095067_2000-12-06_final
2000-12-15 11:11:30	ga_ls7e_ard_3-0-0_110077_2000-12-15_final
2001-11-26 10:05:28	ga_ls7e_ard_3-0-0_100071_2001-11-26_final
2002-05-21 10:08:00	ga_ls7e_ard_3-0-0_100077_2002-05-21_final
2002-12-19 11:24:31	ga_ls7e_ard_3-1-0_112084_2002-12-19_final
2004-10-01 10:08:16	ga_ls7e_ard_3-0-0_100078_2004-10-01_final
2004-11-11 10:02:03	ga_ls7e_ard_3-0-0_099077_2004-11-11_final
2005-01-05 10:08:16	ga_ls7e_ard_3-0-0_100076_2005-01-05_final
2005-03-16 09:33:55	ga_ls7e_ard_3-0-0_094082_2005-03-16_final
2005-04-27 10:08:52	ga_ls7e_ard_3-0-0_100077_2005-04-27_final
2005-10-08 09:39:36	ga_ls7e_ard_3-0-0_096067_2005-10-08_final
2006-01-16 09:19:45	ga_ls7e_ard_3-0-0_092077_2006-01-15_final
2006-04-01 10:37:05	ga_ls7e_ard_3-0-0_105069_2006-04-01_final
2006-06-17 10:09:17	ga_ls7e_ard_3-0-0_100077_2006-06-17_final
2006-11-27 09:01:22	ga_ls7e_ard_3-0-0_089077_2006-11-26_final
2006-11-28 09:40:39	ga_ls7e_ard_3-0-0_096067_2006-11-28_final
2009-01-29 09:34:10	ga_ls7e_ard_3-0-0_095067_2009-01-29_final
2009-09-12 09:22:13	ga_ls7e_ard_3-0-0_093067_2009-09-11_final
2009-12-15 09:35:24	ga_ls7e_ard_3-0-0_095067_2009-12-15_final
2010-03-12 09:42:42	ga_ls7e_ard_3-0-0_096067_2010-03-12_final
2010-04-06 09:36:37	ga_ls7e_ard_3-0-0_095067_2010-04-06_final
2010-11-03 10:14:14	ga_ls7e_ard_3-0-0_100083_2010-11-03_final
2010-12-15 09:10:31	ga_ls7e_ard_3-0-0_090077_2010-12-14_final
2010-12-21 10:12:21	ga_ls7e_ard_3-0-0_100077_2010-12-21_final
2011-04-14 11:35:27	ga_ls7e_ard_3-0-0_114067_2011-04-14_final
2013-09-05 09:39:56	ga_ls7e_ard_3-0-0_095067_2013-09-05_final
2015-02-23 10:33:03	ga_ls7e_ard_3-0-0_103068_2015-02-23_final
2015-06-14 09:50:12	ga_ls7e_ard_3-0-0_096067_2015-06-14_final
2015-07-30 11:41:36	ga_ls7e_ard_3-0-0_114067_2015-07-30_final
2016-04-06 09:46:35	ga_ls7e_ard_3-0-0_095067_2016-04-06_final
2016-09-29 09:47:10	ga_ls7e_ard_3-0-0_095067_2016-09-29_final
2016-11-05 11:44:28	ga_ls7e_ard_3-0-0_114067_2016-11-05_final
2016-12-29 09:36:11	ga_ls7e_ard_3-0-0_092087_2016-12-29_final
2017-01-05 09:37:30	ga_ls7e_ard_3-0-0_093075_2017-01-05_final
2017-04-16 09:52:56	ga_ls7e_ard_3-0-0_096067_2017-04-16_final
2017-05-16 11:44:19	ga_ls7e_ard_3-0-0_114067_2017-05-16_final
2017-07-30 09:47:03	ga_ls7e_ard_3-0-0_095067_2017-07-30_final
2019-10-15 09:35:12	ga_ls7e_ard_3-1-0_096067_2019-10-15_final
2020-04-01 09:24:55	ga_ls7e_ard_3-1-0_095078_2020-03-31_final
2020-11-01 08:37:23	ga_ls7e_ard_3-1-0_089085_2020-10-31_final
2020-11-16 11:03:40	ga_ls7e_ard_3-1-0_114067_2020-11-16_final
2021-01-05 09:08:48	ga_ls7e_ard_3-1-0_096067_2021-01-04_final
2021-08-26 08:43:38	ga_ls7e_ard_3-2-0_095067_2021-08-25_final
2021-08-30 08:25:21	ga_ls7e_ard_3-2-0_091084_2021-08-29_final
2021-10-13 08:39:24	ga_ls7e_ard_3-2-0_095067_2021-10-12_final
2021-10-29 08:37:57	ga_ls7e_ard_3-2-0_095067_2021-10-28_final
2022-03-03 09:40:10	ga_ls7e_ard_3-2-1_106083_2022-03-03_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