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

First 100 results (query limit)

Time (local)	Label
2009-01-31 11:04:42	ga_ls7e_ard_3-0-0_109077_2009-01-31_final
2009-01-31 11:05:05	ga_ls7e_ard_3-0-0_109078_2009-01-31_final
2009-01-31 11:05:29	ga_ls7e_ard_3-0-0_109079_2009-01-31_final
2009-01-31 11:06:17	ga_ls7e_ard_3-1-0_109081_2009-01-31_final
2009-02-05 11:19:16	ga_ls7e_ard_3-0-0_112067_2009-02-05_final
2009-02-07 11:08:56	ga_ls7e_ard_3-1-0_110072_2009-02-07_final
2009-02-07 11:09:20	ga_ls7e_ard_3-0-0_110073_2009-02-07_final
2009-02-07 11:09:44	ga_ls7e_ard_3-0-0_110074_2009-02-07_final
2009-02-07 11:10:07	ga_ls7e_ard_3-1-0_110075_2009-02-07_final
2009-02-07 11:10:31	ga_ls7e_ard_3-0-0_110076_2009-02-07_final
2009-02-07 11:10:55	ga_ls7e_ard_3-0-0_110077_2009-02-07_final
2009-02-07 11:11:19	ga_ls7e_ard_3-0-0_110078_2009-02-07_final
2009-02-09 11:00:11	ga_ls7e_ard_3-0-0_108081_2009-02-09_final
2009-02-09 11:00:35	ga_ls7e_ard_3-0-0_108082_2009-02-09_final
2009-02-09 11:00:59	ga_ls7e_ard_3-0-0_108083_2009-02-09_final
2009-02-09 11:01:23	ga_ls7e_ard_3-0-0_108084_2009-02-09_final
2009-04-19 11:13:39	ga_ls7e_ard_3-0-0_111067_2009-04-19_final
2009-04-19 11:14:03	ga_ls7e_ard_3-0-0_111068_2009-04-19_final
2009-04-19 11:15:15	ga_ls7e_ard_3-0-0_111071_2009-04-19_final
2009-04-19 11:15:39	ga_ls7e_ard_3-0-0_111072_2009-04-19_final
2009-04-19 11:16:03	ga_ls7e_ard_3-0-0_111073_2009-04-19_final
2009-04-21 11:04:53	ga_ls7e_ard_3-0-0_109076_2009-04-21_final
2009-04-21 11:05:17	ga_ls7e_ard_3-0-0_109077_2009-04-21_final
2009-04-21 11:05:41	ga_ls7e_ard_3-0-0_109078_2009-04-21_final
2009-04-21 11:06:29	ga_ls7e_ard_3-0-0_109080_2009-04-21_final
2009-04-21 11:06:53	ga_ls7e_ard_3-1-0_109081_2009-04-21_final
2009-04-21 11:07:17	ga_ls7e_ard_3-0-0_109082_2009-04-21_final
2009-05-05 11:15:42	ga_ls7e_ard_3-0-0_111072_2009-05-05_final
2009-05-05 11:16:06	ga_ls7e_ard_3-0-0_111073_2009-05-05_final
2014-04-24 11:26:40	ga_ls7e_ard_3-0-0_112067_2014-04-24_final
2014-06-11 11:26:53	ga_ls7e_ard_3-0-0_112067_2014-06-11_final
2014-07-29 11:27:06	ga_ls7e_ard_3-0-0_112067_2014-07-29_final
2014-07-31 11:16:44	ga_ls7e_ard_3-1-0_110072_2014-07-31_final
2014-07-31 11:17:08	ga_ls7e_ard_3-0-0_110073_2014-07-31_final
2014-07-31 11:17:32	ga_ls7e_ard_3-0-0_110074_2014-07-31_final
2014-07-31 11:17:56	ga_ls7e_ard_3-0-0_110075_2014-07-31_final
2014-07-31 11:18:20	ga_ls7e_ard_3-0-0_110076_2014-07-31_final
2014-07-31 11:18:44	ga_ls7e_ard_3-0-0_110077_2014-07-31_final
2014-07-31 11:19:08	ga_ls7e_ard_3-0-0_110078_2014-07-31_final
2014-08-02 11:07:59	ga_ls7e_ard_3-0-0_108081_2014-08-02_final
2014-08-02 11:08:23	ga_ls7e_ard_3-0-0_108082_2014-08-02_final
2014-08-02 11:08:47	ga_ls7e_ard_3-0-0_108083_2014-08-02_final
2014-08-02 11:09:11	ga_ls7e_ard_3-0-0_108084_2014-08-02_final
2014-08-25 11:12:32	ga_ls7e_ard_3-0-0_109077_2014-08-25_final
2014-08-25 11:12:56	ga_ls7e_ard_3-0-0_109078_2014-08-25_final
2014-08-25 11:13:20	ga_ls7e_ard_3-0-0_109079_2014-08-25_final
2014-08-25 11:13:44	ga_ls7e_ard_3-0-0_109080_2014-08-25_final
2014-08-25 11:14:08	ga_ls7e_ard_3-1-0_109081_2014-08-25_final
2014-08-25 11:14:32	ga_ls7e_ard_3-0-0_109082_2014-08-25_final
2014-08-27 11:02:58	ga_ls7e_ard_3-0-0_107084_2014-08-27_final
2014-11-02 11:27:39	ga_ls7e_ard_3-0-0_112067_2014-11-02_final
2016-09-04 11:32:10	ga_ls7e_ard_3-0-0_112067_2016-09-04_final
2016-09-06 11:21:48	ga_ls7e_ard_3-1-0_110072_2016-09-06_final
2016-09-06 11:22:12	ga_ls7e_ard_3-0-0_110073_2016-09-06_final
2016-09-06 11:22:36	ga_ls7e_ard_3-0-0_110074_2016-09-06_final
2016-09-06 11:23:00	ga_ls7e_ard_3-0-0_110075_2016-09-06_final
2016-09-06 11:23:24	ga_ls7e_ard_3-0-0_110076_2016-09-06_final
2016-09-06 11:23:48	ga_ls7e_ard_3-0-0_110077_2016-09-06_final
2016-09-06 11:24:12	ga_ls7e_ard_3-0-0_110078_2016-09-06_final
2016-09-08 11:13:02	ga_ls7e_ard_3-0-0_108081_2016-09-08_final
2016-09-08 11:13:26	ga_ls7e_ard_3-0-0_108082_2016-09-08_final
2016-09-08 11:13:50	ga_ls7e_ard_3-0-0_108083_2016-09-08_final
2016-09-08 11:14:14	ga_ls7e_ard_3-0-0_108084_2016-09-08_final
2017-01-14 11:12:30	ga_ls7e_ard_3-0-0_108081_2017-01-14_final
2017-01-14 11:12:54	ga_ls7e_ard_3-0-0_108082_2017-01-14_final
2017-01-14 11:13:18	ga_ls7e_ard_3-0-0_108083_2017-01-14_final
2017-01-14 11:13:42	ga_ls7e_ard_3-0-0_108084_2017-01-14_final
2018-04-05 11:20:01	ga_ls7e_ard_3-1-0_110072_2018-04-05_final
2018-04-05 11:20:25	ga_ls7e_ard_3-0-0_110073_2018-04-05_final
2018-04-05 11:20:49	ga_ls7e_ard_3-0-0_110074_2018-04-05_final
2018-04-05 11:21:13	ga_ls7e_ard_3-0-0_110075_2018-04-05_final
2018-04-05 11:21:37	ga_ls7e_ard_3-0-0_110076_2018-04-05_final
2018-04-05 11:22:01	ga_ls7e_ard_3-0-0_110077_2018-04-05_final
2018-04-05 11:22:24	ga_ls7e_ard_3-0-0_110078_2018-04-05_final
2018-04-07 11:11:13	ga_ls7e_ard_3-0-0_108081_2018-04-07_final
2018-04-07 11:11:37	ga_ls7e_ard_3-0-0_108082_2018-04-07_final
2018-04-07 11:12:01	ga_ls7e_ard_3-0-0_108083_2018-04-07_final
2018-04-07 11:12:25	ga_ls7e_ard_3-0-0_108084_2018-04-07_final
2018-04-16 11:06:05	ga_ls7e_ard_3-0-0_107084_2018-04-16_final
2018-08-18 11:21:48	ga_ls7e_ard_3-0-0_111067_2018-08-18_final
2018-08-18 11:22:12	ga_ls7e_ard_3-0-0_111068_2018-08-18_final
2018-08-18 11:23:24	ga_ls7e_ard_3-0-0_111071_2018-08-18_final
2018-08-18 11:23:48	ga_ls7e_ard_3-0-0_111072_2018-08-18_final
2018-08-20 11:13:24	ga_ls7e_ard_3-0-0_109077_2018-08-20_final
2018-08-20 11:13:48	ga_ls7e_ard_3-0-0_109078_2018-08-20_final
2018-08-20 11:14:12	ga_ls7e_ard_3-0-0_109079_2018-08-20_final
2018-08-20 11:14:35	ga_ls7e_ard_3-0-0_109080_2018-08-20_final
2018-08-20 11:14:59	ga_ls7e_ard_3-1-0_109081_2018-08-20_final
2018-08-20 11:15:23	ga_ls7e_ard_3-0-0_109082_2018-08-20_final
2018-08-25 11:27:51	ga_ls7e_ard_3-0-0_112067_2018-08-25_final
2018-08-27 11:17:26	ga_ls7e_ard_3-1-0_110072_2018-08-27_final
2018-08-27 11:17:50	ga_ls7e_ard_3-0-0_110073_2018-08-27_final
2018-08-27 11:18:14	ga_ls7e_ard_3-0-0_110074_2018-08-27_final
2018-08-27 11:18:38	ga_ls7e_ard_3-0-0_110075_2018-08-27_final
2018-08-27 11:19:02	ga_ls7e_ard_3-0-0_110076_2018-08-27_final
2018-08-27 11:19:26	ga_ls7e_ard_3-0-0_110077_2018-08-27_final
2018-08-27 11:19:50	ga_ls7e_ard_3-0-0_110078_2018-08-27_final
2019-03-05 11:22:45	ga_ls7e_ard_3-1-0_112067_2019-03-05_final
2019-03-14 11:17:52	ga_ls7e_ard_3-1-0_111071_2019-03-14_final
2019-03-14 11:18:16	ga_ls7e_ard_3-1-0_111072_2019-03-14_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