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
2008-08-19 09:06:38	ga_ls7e_ard_3-0-0_090077_2008-08-18_final
2008-08-19 09:07:02	ga_ls7e_ard_3-0-0_090078_2008-08-18_final
2008-08-19 09:07:26	ga_ls7e_ard_3-0-0_090079_2008-08-18_final
2008-11-07 09:06:32	ga_ls7e_ard_3-0-0_090077_2008-11-06_final
2008-11-07 09:06:56	ga_ls7e_ard_3-0-0_090078_2008-11-06_final
2008-11-07 09:07:20	ga_ls7e_ard_3-0-0_090079_2008-11-06_final
2011-11-25 09:05:00	ga_ls7e_ard_3-0-0_089077_2011-11-24_final
2011-11-25 09:05:24	ga_ls7e_ard_3-0-0_089078_2011-11-24_final
2011-11-25 09:05:48	ga_ls7e_ard_3-0-0_089079_2011-11-24_final
2011-12-02 09:12:02	ga_ls7e_ard_3-0-0_090079_2011-12-01_final
2011-12-04 09:00:29	ga_ls7e_ard_3-0-0_088081_2011-12-03_final
2011-12-04 09:00:53	ga_ls7e_ard_3-0-0_088082_2011-12-03_final
2012-01-03 09:11:30	ga_ls7e_ard_3-0-0_090077_2012-01-02_final
2012-01-21 09:00:44	ga_ls7e_ard_3-0-0_088081_2012-01-20_final
2012-01-21 09:01:08	ga_ls7e_ard_3-0-0_088082_2012-01-20_final
2012-01-28 09:07:20	ga_ls7e_ard_3-0-0_089082_2012-01-27_final
2012-01-28 09:07:44	ga_ls7e_ard_3-0-0_089083_2012-01-27_final
2012-02-06 09:00:49	ga_ls7e_ard_3-0-0_088081_2012-02-05_final
2012-02-06 09:01:13	ga_ls7e_ard_3-0-0_088082_2012-02-05_final
2012-02-18 09:20:00	ga_ls7e_ard_3-0-0_092067_2012-02-17_final
2012-03-16 09:05:50	ga_ls7e_ard_3-0-0_089078_2012-03-15_final
2012-03-16 09:06:14	ga_ls7e_ard_3-0-0_089079_2012-03-15_final
2012-03-16 09:06:38	ga_ls7e_ard_3-0-0_089080_2012-03-15_final
2012-03-16 09:07:02	ga_ls7e_ard_3-1-0_089081_2012-03-15_final
2012-03-16 09:07:26	ga_ls7e_ard_3-0-0_089082_2012-03-15_final
2012-03-16 09:07:50	ga_ls7e_ard_3-0-0_089083_2012-03-15_final
2012-04-26 09:01:03	ga_ls7e_ard_3-0-0_088081_2012-04-25_final
2012-04-26 09:01:27	ga_ls7e_ard_3-0-0_088082_2012-04-25_final
2012-05-12 09:01:25	ga_ls7e_ard_3-0-0_088081_2012-05-11_final
2012-05-12 09:01:49	ga_ls7e_ard_3-0-0_088082_2012-05-11_final
2013-01-14 09:07:51	ga_ls7e_ard_3-0-0_089078_2013-01-13_final
2013-01-14 09:08:15	ga_ls7e_ard_3-0-0_089079_2013-01-13_final
2013-01-14 09:09:51	ga_ls7e_ard_3-0-0_089083_2013-01-13_final
2013-01-21 09:13:40	ga_ls7e_ard_3-0-0_090077_2013-01-20_final
2013-01-21 09:14:04	ga_ls7e_ard_3-0-0_090078_2013-01-20_final
2013-02-06 09:13:43	ga_ls7e_ard_3-0-0_090077_2013-02-05_final
2013-02-06 09:14:07	ga_ls7e_ard_3-0-0_090078_2013-02-05_final
2013-02-08 09:02:57	ga_ls7e_ard_3-0-0_088081_2013-02-07_final
2013-02-08 09:03:21	ga_ls7e_ard_3-0-0_088082_2013-02-07_final
2013-02-15 09:08:43	ga_ls7e_ard_3-0-0_089080_2013-02-14_final
2013-02-15 09:09:07	ga_ls7e_ard_3-1-0_089081_2013-02-14_final
2013-02-15 09:09:31	ga_ls7e_ard_3-0-0_089082_2013-02-14_final
2013-02-20 09:22:03	ga_ls7e_ard_3-0-0_092067_2013-02-19_final
2013-02-20 09:22:27	ga_ls7e_ard_3-0-0_092068_2013-02-19_final
2013-02-22 09:13:40	ga_ls7e_ard_3-0-0_090077_2013-02-21_final
2013-02-22 09:14:04	ga_ls7e_ard_3-0-0_090078_2013-02-21_final
2013-02-22 09:14:28	ga_ls7e_ard_3-0-0_090079_2013-02-21_final
2013-06-23 09:07:20	ga_ls7e_ard_3-0-0_089078_2013-06-22_final
2013-06-23 09:07:44	ga_ls7e_ard_3-0-0_089079_2013-06-22_final
2013-06-23 09:08:08	ga_ls7e_ard_3-0-0_089080_2013-06-22_final
2013-06-23 09:08:32	ga_ls7e_ard_3-1-0_089081_2013-06-22_final
2013-06-23 09:08:55	ga_ls7e_ard_3-0-0_089082_2013-06-22_final
2013-06-23 09:09:19	ga_ls7e_ard_3-0-0_089083_2013-06-22_final
2013-07-16 09:12:53	ga_ls7e_ard_3-0-0_090077_2013-07-15_final
2013-07-16 09:13:17	ga_ls7e_ard_3-0-0_090078_2013-07-15_final
2013-07-16 09:13:41	ga_ls7e_ard_3-0-0_090079_2013-07-15_final
2013-07-18 09:02:30	ga_ls7e_ard_3-0-0_088082_2013-07-17_final
2013-07-25 09:07:02	ga_ls7e_ard_3-0-0_089078_2013-07-24_final
2013-07-25 09:07:26	ga_ls7e_ard_3-0-0_089079_2013-07-24_final
2013-07-25 09:07:49	ga_ls7e_ard_3-0-0_089080_2013-07-24_final
2013-07-25 09:08:13	ga_ls7e_ard_3-1-0_089081_2013-07-24_final
2013-07-25 09:08:37	ga_ls7e_ard_3-0-0_089082_2013-07-24_final
2013-07-25 09:09:01	ga_ls7e_ard_3-0-0_089083_2013-07-24_final
2013-08-03 09:01:59	ga_ls7e_ard_3-0-0_088081_2013-08-02_final
2013-08-03 09:02:23	ga_ls7e_ard_3-0-0_088082_2013-08-02_final
2018-01-03 09:19:38	ga_ls7e_ard_3-0-0_090077_2018-01-02_final
2018-01-03 09:20:02	ga_ls7e_ard_3-0-0_090078_2018-01-02_final
2018-01-03 09:20:26	ga_ls7e_ard_3-0-0_090079_2018-01-02_final
2018-01-12 09:13:44	ga_ls7e_ard_3-0-0_089078_2018-01-11_final
2018-01-12 09:14:08	ga_ls7e_ard_3-0-0_089079_2018-01-11_final
2018-01-12 09:14:32	ga_ls7e_ard_3-0-0_089080_2018-01-11_final
2018-01-12 09:14:56	ga_ls7e_ard_3-1-0_089081_2018-01-11_final
2018-01-12 09:15:20	ga_ls7e_ard_3-0-0_089082_2018-01-11_final
2018-01-12 09:15:44	ga_ls7e_ard_3-0-0_089083_2018-01-11_final
2018-02-04 09:19:56	ga_ls7e_ard_3-0-0_090079_2018-02-03_final
2018-02-13 09:13:15	ga_ls7e_ard_3-0-0_089078_2018-02-12_final
2018-02-13 09:13:39	ga_ls7e_ard_3-0-0_089079_2018-02-12_final
2018-02-13 09:14:03	ga_ls7e_ard_3-0-0_089080_2018-02-12_final
2018-02-13 09:14:27	ga_ls7e_ard_3-1-0_089081_2018-02-12_final
2018-02-13 09:14:51	ga_ls7e_ard_3-0-0_089082_2018-02-12_final
2018-02-13 09:15:15	ga_ls7e_ard_3-0-0_089083_2018-02-12_final
2018-04-09 09:18:21	ga_ls7e_ard_3-0-0_090077_2018-04-08_final
2018-04-09 09:18:44	ga_ls7e_ard_3-0-0_090078_2018-04-08_final
2018-04-09 09:19:08	ga_ls7e_ard_3-0-0_090079_2018-04-08_final
2018-05-27 09:17:32	ga_ls7e_ard_3-0-0_090077_2018-05-26_final
2018-05-27 09:17:56	ga_ls7e_ard_3-0-0_090078_2018-05-26_final
2018-05-27 09:18:20	ga_ls7e_ard_3-0-0_090079_2018-05-26_final
2018-06-28 09:16:57	ga_ls7e_ard_3-0-0_090077_2018-06-27_final
2018-06-28 09:17:21	ga_ls7e_ard_3-0-0_090078_2018-06-27_final
2018-06-28 09:17:45	ga_ls7e_ard_3-0-0_090079_2018-06-27_final
2018-07-07 09:11:47	ga_ls7e_ard_3-0-0_089080_2018-07-06_final
2018-07-07 09:12:11	ga_ls7e_ard_3-1-0_089081_2018-07-06_final
2018-07-07 09:12:35	ga_ls7e_ard_3-0-0_089082_2018-07-06_final
2018-07-07 09:12:59	ga_ls7e_ard_3-0-0_089083_2018-07-06_final
2018-07-23 09:10:19	ga_ls7e_ard_3-0-0_089077_2018-07-22_final
2018-07-23 09:10:43	ga_ls7e_ard_3-0-0_089078_2018-07-22_final
2018-07-23 09:11:06	ga_ls7e_ard_3-0-0_089079_2018-07-22_final
2018-07-23 09:11:30	ga_ls7e_ard_3-0-0_089080_2018-07-22_final
2018-07-23 09:11:54	ga_ls7e_ard_3-1-0_089081_2018-07-22_final
2018-07-23 09:12:18	ga_ls7e_ard_3-0-0_089082_2018-07-22_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