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
2009-01-20 11:21:59	ga_ls7e_ard_3-0-0_112074_2009-01-20_final
2009-01-20 11:22:23	ga_ls7e_ard_3-0-0_112075_2009-01-20_final
2009-01-20 11:22:47	ga_ls7e_ard_3-0-0_112076_2009-01-20_final
2009-01-20 11:23:11	ga_ls7e_ard_3-0-0_112077_2009-01-20_final
2009-01-20 11:23:35	ga_ls7e_ard_3-0-0_112078_2009-01-20_final
2009-02-12 11:25:32	ga_ls7e_ard_3-0-0_113067_2009-02-12_final
2009-02-14 11:17:11	ga_ls7e_ard_3-0-0_111077_2009-02-14_final
2009-02-14 11:17:35	ga_ls7e_ard_3-0-0_111078_2009-02-14_final
2009-02-14 11:17:58	ga_ls7e_ard_3-0-0_111079_2009-02-14_final
2009-02-14 11:18:22	ga_ls7e_ard_3-0-0_111080_2009-02-14_final
2009-02-14 11:18:46	ga_ls7e_ard_3-0-0_111081_2009-02-14_final
2009-02-14 11:19:10	ga_ls7e_ard_3-1-0_111082_2009-02-14_final
2009-04-28 11:13:06	ga_ls7e_ard_3-0-0_110081_2009-04-28_final
2009-04-28 11:13:30	ga_ls7e_ard_3-0-0_110082_2009-04-28_final
2009-04-28 11:13:53	ga_ls7e_ard_3-0-0_110083_2009-04-28_final
2009-04-28 11:14:17	ga_ls7e_ard_3-0-0_110084_2009-04-28_final
2009-05-12 11:22:42	ga_ls7e_ard_3-0-0_112074_2009-05-12_final
2009-05-12 11:23:06	ga_ls7e_ard_3-0-0_112075_2009-05-12_final
2009-05-12 11:23:30	ga_ls7e_ard_3-0-0_112076_2009-05-12_final
2009-05-12 11:23:54	ga_ls7e_ard_3-0-0_112077_2009-05-12_final
2009-05-12 11:24:18	ga_ls7e_ard_3-0-0_112078_2009-05-12_final
2009-05-14 11:13:08	ga_ls7e_ard_3-0-0_110081_2009-05-14_final
2009-05-14 11:13:32	ga_ls7e_ard_3-0-0_110082_2009-05-14_final
2009-05-14 11:13:56	ga_ls7e_ard_3-0-0_110083_2009-05-14_final
2009-05-14 11:14:20	ga_ls7e_ard_3-0-0_110084_2009-05-14_final
2009-05-28 11:22:43	ga_ls7e_ard_3-0-0_112074_2009-05-28_final
2009-05-28 11:23:07	ga_ls7e_ard_3-0-0_112075_2009-05-28_final
2009-05-28 11:23:30	ga_ls7e_ard_3-0-0_112076_2009-05-28_final
2009-05-28 11:23:54	ga_ls7e_ard_3-0-0_112077_2009-05-28_final
2009-05-28 11:24:18	ga_ls7e_ard_3-0-0_112078_2009-05-28_final
2009-05-30 11:13:08	ga_ls7e_ard_3-0-0_110081_2009-05-30_final
2009-05-30 11:13:32	ga_ls7e_ard_3-0-0_110082_2009-05-30_final
2009-05-30 11:13:56	ga_ls7e_ard_3-0-0_110083_2009-05-30_final
2009-05-30 11:14:20	ga_ls7e_ard_3-0-0_110084_2009-05-30_final
2009-06-15 11:13:07	ga_ls7e_ard_3-0-0_110081_2009-06-15_final
2009-06-29 11:22:39	ga_ls7e_ard_3-0-0_112074_2009-06-29_final
2009-06-29 11:23:03	ga_ls7e_ard_3-0-0_112075_2009-06-29_final
2009-08-14 11:32:00	ga_ls7e_ard_3-0-0_114067_2009-08-14_final
2016-05-15 11:34:40	ga_ls7e_ard_3-0-0_112074_2016-05-15_final
2016-05-15 11:35:04	ga_ls7e_ard_3-0-0_112075_2016-05-15_final
2016-05-15 11:35:28	ga_ls7e_ard_3-0-0_112076_2016-05-15_final
2016-05-15 11:35:52	ga_ls7e_ard_3-0-0_112077_2016-05-15_final
2016-05-15 11:36:16	ga_ls7e_ard_3-0-0_112078_2016-05-15_final
2016-05-29 11:44:19	ga_ls7e_ard_3-0-0_114067_2016-05-29_final
2016-05-31 11:34:45	ga_ls7e_ard_3-0-0_112074_2016-05-31_final
2016-05-31 11:35:09	ga_ls7e_ard_3-0-0_112075_2016-05-31_final
2016-05-31 11:35:33	ga_ls7e_ard_3-0-0_112076_2016-05-31_final
2016-05-31 11:35:57	ga_ls7e_ard_3-0-0_112077_2016-05-31_final
2016-05-31 11:36:21	ga_ls7e_ard_3-0-0_112078_2016-05-31_final
2016-06-07 11:38:11	ga_ls7e_ard_3-0-0_113067_2016-06-07_final
2016-06-09 11:29:49	ga_ls7e_ard_3-0-0_111077_2016-06-09_final
2016-06-09 11:30:13	ga_ls7e_ard_3-0-0_111078_2016-06-09_final
2016-06-09 11:30:37	ga_ls7e_ard_3-0-0_111079_2016-06-09_final
2016-06-09 11:31:01	ga_ls7e_ard_3-0-0_111080_2016-06-09_final
2016-06-09 11:31:25	ga_ls7e_ard_3-0-0_111081_2016-06-09_final
2016-06-09 11:31:49	ga_ls7e_ard_3-1-0_111082_2016-06-09_final
2016-06-11 11:20:15	ga_ls7e_ard_3-0-0_109084_2016-06-11_final
2016-06-18 11:25:15	ga_ls7e_ard_3-0-0_110081_2016-06-18_final
2016-06-18 11:25:39	ga_ls7e_ard_3-0-0_110082_2016-06-18_final
2016-06-18 11:26:03	ga_ls7e_ard_3-0-0_110083_2016-06-18_final
2016-06-18 11:26:27	ga_ls7e_ard_3-0-0_110084_2016-06-18_final
2016-08-01 11:44:27	ga_ls7e_ard_3-0-0_114067_2016-08-01_final
2016-10-06 11:35:01	ga_ls7e_ard_3-0-0_112074_2016-10-06_final
2016-10-06 11:35:25	ga_ls7e_ard_3-0-0_112075_2016-10-06_final
2016-10-06 11:35:49	ga_ls7e_ard_3-0-0_112076_2016-10-06_final
2016-10-06 11:36:13	ga_ls7e_ard_3-0-0_112077_2016-10-06_final
2016-10-06 11:36:37	ga_ls7e_ard_3-0-0_112078_2016-10-06_final
2016-10-08 11:26:15	ga_ls7e_ard_3-0-0_110083_2016-10-08_final
2016-10-08 11:26:39	ga_ls7e_ard_3-0-0_110084_2016-10-08_final
2016-10-13 11:38:24	ga_ls7e_ard_3-0-0_113067_2016-10-13_final
2016-12-09 11:35:56	ga_ls7e_ard_3-0-0_112077_2016-12-09_final
2016-12-09 11:36:20	ga_ls7e_ard_3-0-0_112078_2016-12-09_final
2016-12-16 11:38:05	ga_ls7e_ard_3-0-0_113067_2016-12-16_final
2016-12-18 11:29:42	ga_ls7e_ard_3-0-0_111077_2016-12-18_final
2016-12-18 11:30:06	ga_ls7e_ard_3-0-0_111078_2016-12-18_final
2016-12-18 11:30:30	ga_ls7e_ard_3-0-0_111079_2016-12-18_final
2016-12-18 11:30:54	ga_ls7e_ard_3-0-0_111080_2016-12-18_final
2016-12-18 11:31:18	ga_ls7e_ard_3-0-0_111081_2016-12-18_final
2016-12-18 11:31:42	ga_ls7e_ard_3-1-0_111082_2016-12-18_final
2017-02-25 11:43:53	ga_ls7e_ard_3-0-0_114067_2017-02-25_final
2018-11-06 11:24:00	ga_ls7e_ard_3-0-0_111077_2018-11-06_final
2018-11-06 11:24:24	ga_ls7e_ard_3-0-0_111078_2018-11-06_final
2018-11-06 11:24:48	ga_ls7e_ard_3-0-0_111079_2018-11-06_final
2018-11-06 11:25:12	ga_ls7e_ard_3-0-0_111080_2018-11-06_final
2018-11-06 11:25:36	ga_ls7e_ard_3-0-0_111081_2018-11-06_final
2018-11-13 11:28:49	ga_ls7e_ard_3-1-0_112074_2018-11-13_final
2018-11-13 11:29:13	ga_ls7e_ard_3-0-0_112075_2018-11-13_final
2018-11-13 11:29:37	ga_ls7e_ard_3-0-0_112076_2018-11-13_final
2018-11-13 11:30:01	ga_ls7e_ard_3-0-0_112077_2018-11-13_final
2018-11-13 11:30:25	ga_ls7e_ard_3-0-0_112078_2018-11-13_final
2018-11-15 11:19:13	ga_ls7e_ard_3-0-0_110081_2018-11-15_final
2018-11-15 11:19:36	ga_ls7e_ard_3-0-0_110082_2018-11-15_final
2018-11-15 11:20:00	ga_ls7e_ard_3-0-0_110083_2018-11-15_final
2018-11-15 11:20:24	ga_ls7e_ard_3-0-0_110084_2018-11-15_final
2019-04-06 11:24:28	ga_ls7e_ard_3-0-0_112074_2019-04-06_final
2019-04-06 11:24:52	ga_ls7e_ard_3-0-0_112075_2019-04-06_final
2019-04-06 11:25:16	ga_ls7e_ard_3-0-0_112076_2019-04-06_final
2019-04-06 11:25:40	ga_ls7e_ard_3-0-0_112077_2019-04-06_final
2019-04-06 11:26:04	ga_ls7e_ard_3-0-0_112078_2019-04-06_final
2019-04-08 11:14:50	ga_ls7e_ard_3-0-0_110081_2019-04-08_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