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
2003-12-28 09:11:35	ga_ls7e_ard_3-0-0_090090_2003-12-27_final
2004-01-06 09:05:25	ga_ls7e_ard_3-0-0_089090_2004-01-05_final
2004-01-13 09:11:36	ga_ls7e_ard_3-1-0_090090_2004-01-12_final
2004-01-20 09:17:52	ga_ls7e_ard_3-0-0_091090_2004-01-19_final
2004-01-22 09:05:31	ga_ls7e_ard_3-0-0_089090_2004-01-21_final
2004-02-05 09:17:58	ga_ls7e_ard_3-0-0_091090_2004-02-04_final
2004-02-23 09:05:36	ga_ls7e_ard_3-0-0_089090_2004-02-22_final
2004-03-08 09:18:04	ga_ls7e_ard_3-0-0_091090_2004-03-07_final
2004-03-17 09:11:57	ga_ls7e_ard_3-0-0_090090_2004-03-16_final
2004-03-26 09:05:47	ga_ls7e_ard_3-1-0_089090_2004-03-25_final
2004-05-04 09:11:52	ga_ls7e_ard_3-1-0_090090_2004-05-03_final
2004-05-11 09:18:03	ga_ls7e_ard_3-0-0_091090_2004-05-10_final
2004-05-20 09:11:52	ga_ls7e_ard_3-0-0_090090_2004-05-19_final
2004-05-27 09:18:02	ga_ls7e_ard_3-0-0_091090_2004-05-26_final
2004-05-29 09:05:39	ga_ls7e_ard_3-0-0_089090_2004-05-28_final
2004-06-05 09:11:48	ga_ls7e_ard_3-0-0_090090_2004-06-04_final
2004-06-14 09:05:32	ga_ls7e_ard_3-0-0_089090_2004-06-13_final
2004-07-07 09:11:41	ga_ls7e_ard_3-0-0_090090_2004-07-06_final
2004-07-16 09:05:28	ga_ls7e_ard_3-0-0_089090_2004-07-15_final
2004-08-01 09:05:20	ga_ls7e_ard_3-0-0_089090_2004-07-31_final
2004-08-08 09:11:29	ga_ls7e_ard_3-0-0_090090_2004-08-07_final
2004-08-15 09:17:40	ga_ls7e_ard_3-1-0_091090_2004-08-14_final
2004-08-17 09:05:18	ga_ls7e_ard_3-0-0_089090_2004-08-16_final
2004-08-24 09:11:28	ga_ls7e_ard_3-0-0_090090_2004-08-23_final
2004-09-02 09:05:14	ga_ls7e_ard_3-0-0_089090_2004-09-01_final
2004-09-09 09:11:22	ga_ls7e_ard_3-0-0_090090_2004-09-08_final
2004-09-25 09:11:17	ga_ls7e_ard_3-0-0_090090_2004-09-24_final
2006-04-01 09:06:35	ga_ls7e_ard_3-0-0_089090_2006-03-31_final
2006-05-03 09:06:33	ga_ls7e_ard_3-0-0_089090_2006-05-02_final
2006-06-27 09:12:37	ga_ls7e_ard_3-0-0_090090_2006-06-26_final
2006-07-04 09:18:45	ga_ls7e_ard_3-0-0_091090_2006-07-03_final
2006-07-13 09:12:30	ga_ls7e_ard_3-0-0_090090_2006-07-12_final
2006-08-05 09:18:33	ga_ls7e_ard_3-0-0_091090_2006-08-04_final
2006-10-01 09:12:06	ga_ls7e_ard_3-0-0_090090_2006-09-30_final
2006-10-10 09:05:53	ga_ls7e_ard_3-0-0_089090_2006-10-09_final
2006-10-17 09:12:12	ga_ls7e_ard_3-0-0_090090_2006-10-16_final
2006-11-11 09:06:23	ga_ls7e_ard_3-0-0_089090_2006-11-10_final
2006-11-18 09:12:39	ga_ls7e_ard_3-0-0_090090_2006-11-17_final
2006-11-25 09:18:54	ga_ls7e_ard_3-0-0_091090_2006-11-24_final
2006-11-27 09:06:33	ga_ls7e_ard_3-0-0_089090_2006-11-26_final
2006-12-04 09:12:48	ga_ls7e_ard_3-0-0_090090_2006-12-03_final
2014-11-15 09:27:07	ga_ls7e_ard_3-0-0_091090_2014-11-14_final
2014-11-17 09:14:45	ga_ls7e_ard_3-0-0_089090_2014-11-16_final
2014-12-19 09:15:02	ga_ls7e_ard_3-0-0_089090_2014-12-18_final
2014-12-26 09:21:13	ga_ls7e_ard_3-0-0_090090_2014-12-25_final
2015-01-11 09:21:15	ga_ls7e_ard_3-0-0_090090_2015-01-10_final
2015-01-18 09:27:25	ga_ls7e_ard_3-0-0_091090_2015-01-17_final
2015-01-20 09:15:03	ga_ls7e_ard_3-0-0_089090_2015-01-19_final
2015-01-27 09:21:19	ga_ls7e_ard_3-0-0_090090_2015-01-26_final
2015-02-03 09:27:33	ga_ls7e_ard_3-0-0_091090_2015-02-02_final
2015-02-05 09:15:12	ga_ls7e_ard_3-0-0_089090_2015-02-04_final
2015-03-09 09:15:24	ga_ls7e_ard_3-0-0_089090_2015-03-08_final
2015-04-01 09:21:45	ga_ls7e_ard_3-0-0_090090_2015-03-31_final
2015-04-17 09:21:55	ga_ls7e_ard_3-0-0_090090_2015-04-16_final
2015-05-03 09:22:00	ga_ls7e_ard_3-0-0_090090_2015-05-02_final
2015-05-26 09:28:19	ga_ls7e_ard_3-0-0_091090_2015-05-25_final
2015-05-28 09:15:59	ga_ls7e_ard_3-0-0_089090_2015-05-27_final
2015-06-04 09:22:14	ga_ls7e_ard_3-0-0_090090_2015-06-03_final
2016-06-22 09:25:15	ga_ls7e_ard_3-0-0_090090_2016-06-21_final
2016-11-04 09:31:30	ga_ls7e_ard_3-0-0_091090_2016-11-04_final
2016-12-31 09:25:00	ga_ls7e_ard_3-0-0_090090_2016-12-30_final
2017-01-16 09:24:49	ga_ls7e_ard_3-0-0_090090_2017-01-15_final
2017-03-21 09:24:53	ga_ls7e_ard_3-0-0_090090_2017-03-20_final
2017-04-06 09:24:57	ga_ls7e_ard_3-0-0_090090_2017-04-05_final
2017-04-13 09:31:12	ga_ls7e_ard_3-0-0_091090_2017-04-13_final
2017-04-29 09:31:18	ga_ls7e_ard_3-0-0_091090_2017-04-29_final
2017-05-15 09:31:21	ga_ls7e_ard_3-0-0_091090_2017-05-15_final
2017-05-24 09:25:12	ga_ls7e_ard_3-0-0_090090_2017-05-23_final
2017-05-31 09:31:01	ga_ls7e_ard_3-0-0_091089_2017-05-31_final
2017-06-09 09:25:17	ga_ls7e_ard_3-0-0_090090_2017-06-08_final
2017-06-16 09:31:29	ga_ls7e_ard_3-0-0_091090_2017-06-16_final
2017-06-25 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-06-24_final
2017-07-02 09:31:31	ga_ls7e_ard_3-0-0_091090_2017-07-02_final
2017-07-18 09:31:32	ga_ls7e_ard_3-0-0_091090_2017-07-18_final
2017-07-27 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-07-26_final
2017-08-03 09:31:30	ga_ls7e_ard_3-0-0_091090_2017-08-03_final
2017-08-19 09:31:28	ga_ls7e_ard_3-0-0_091090_2017-08-19_final
2017-08-28 09:25:18	ga_ls7e_ard_3-0-0_090090_2017-08-27_final
2017-09-20 09:31:26	ga_ls7e_ard_3-0-0_091090_2017-09-20_final
2017-09-29 09:25:17	ga_ls7e_ard_3-0-0_090090_2017-09-28_final
2017-10-15 09:25:19	ga_ls7e_ard_3-0-0_090090_2017-10-14_final
2019-10-21 09:07:03	ga_ls7e_ard_3-1-0_090090_2019-10-20_final
2019-11-22 09:05:12	ga_ls7e_ard_3-1-0_090089_2019-11-21_final
2019-11-22 09:05:36	ga_ls7e_ard_3-1-0_090090_2019-11-21_final
2019-12-24 09:04:00	ga_ls7e_ard_3-1-0_090090_2019-12-23_final
2020-01-25 09:02:23	ga_ls7e_ard_3-1-0_090090_2020-01-24_final
2020-02-08 09:14:02	ga_ls7e_ard_3-1-0_092090_2020-02-07_final
2020-02-17 09:07:23	ga_ls7e_ard_3-1-0_091090_2020-02-16_final
2020-02-26 09:00:44	ga_ls7e_ard_3-1-0_090090_2020-02-25_final
2020-03-04 09:06:09	ga_ls7e_ard_3-1-0_091089_2020-03-03_final
2020-03-04 09:06:32	ga_ls7e_ard_3-1-0_091090_2020-03-03_final
2020-03-11 09:12:21	ga_ls7e_ard_3-1-0_092090_2020-03-10_final
2020-04-14 08:58:04	ga_ls7e_ard_3-1-0_090090_2020-04-13_final
2020-04-21 09:03:26	ga_ls7e_ard_3-1-0_091089_2020-04-20_final
2020-04-21 09:03:50	ga_ls7e_ard_3-1-0_091090_2020-04-20_final
2020-04-30 08:57:07	ga_ls7e_ard_3-1-0_090090_2020-04-29_final
2020-06-08 09:00:57	ga_ls7e_ard_3-1-0_091090_2020-06-07_final
2020-06-17 08:53:51	ga_ls7e_ard_3-1-0_090089_2020-06-16_final
2020-06-17 08:54:15	ga_ls7e_ard_3-1-0_090090_2020-06-16_final
2020-07-01 09:05:23	ga_ls7e_ard_3-1-0_092089_2020-06-30_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