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
2003-12-29 11:28:08	ga_ls7e_ard_3-0-0_113076_2003-12-29_final
2003-12-29 11:28:32	ga_ls7e_ard_3-0-0_113077_2003-12-29_final
2003-12-29 11:28:56	ga_ls7e_ard_3-0-0_113078_2003-12-29_final
2003-12-29 11:29:20	ga_ls7e_ard_3-0-0_113079_2003-12-29_final
2003-12-29 11:29:44	ga_ls7e_ard_3-1-0_113080_2003-12-29_final
2003-12-29 11:30:08	ga_ls7e_ard_3-0-0_113081_2003-12-29_final
2003-12-29 11:30:32	ga_ls7e_ard_3-0-0_113082_2003-12-29_final
2003-12-31 11:18:59	ga_ls7e_ard_3-0-0_111084_2003-12-31_final
2004-01-14 11:28:34	ga_ls7e_ard_3-0-0_113077_2004-01-14_final
2004-01-16 11:19:01	ga_ls7e_ard_3-0-0_111084_2004-01-16_final
2004-04-26 11:33:46	ga_ls7e_ard_3-0-0_114074_2004-04-26_final
2004-04-26 11:34:10	ga_ls7e_ard_3-0-0_114075_2004-04-26_final
2004-04-26 11:34:34	ga_ls7e_ard_3-0-0_114076_2004-04-26_final
2004-04-26 11:34:58	ga_ls7e_ard_3-0-0_114077_2004-04-26_final
2004-04-26 11:35:22	ga_ls7e_ard_3-0-0_114078_2004-04-26_final
2004-05-14 11:24:15	ga_ls7e_ard_3-0-0_112081_2004-05-14_final
2004-05-14 11:24:39	ga_ls7e_ard_3-0-0_112082_2004-05-14_final
2004-05-14 11:25:03	ga_ls7e_ard_3-0-0_112083_2004-05-14_final
2004-05-14 11:25:27	ga_ls7e_ard_3-0-0_112084_2004-05-14_final
2016-07-25 11:42:14	ga_ls7e_ard_3-0-0_113077_2016-07-25_final
2016-07-25 11:42:38	ga_ls7e_ard_3-0-0_113078_2016-07-25_final
2016-07-25 11:43:02	ga_ls7e_ard_3-0-0_113079_2016-07-25_final
2016-07-25 11:43:26	ga_ls7e_ard_3-0-0_113080_2016-07-25_final
2016-07-25 11:43:50	ga_ls7e_ard_3-0-0_113081_2016-07-25_final
2016-07-25 11:44:14	ga_ls7e_ard_3-0-0_113082_2016-07-25_final
2016-07-27 11:32:41	ga_ls7e_ard_3-0-0_111084_2016-07-27_final
2016-08-12 11:32:42	ga_ls7e_ard_3-0-0_111084_2016-08-12_final
2016-08-26 11:42:18	ga_ls7e_ard_3-0-0_113077_2016-08-26_final
2016-08-26 11:42:42	ga_ls7e_ard_3-0-0_113078_2016-08-26_final
2016-08-26 11:43:06	ga_ls7e_ard_3-0-0_113079_2016-08-26_final
2016-08-26 11:43:30	ga_ls7e_ard_3-0-0_113080_2016-08-26_final
2016-08-26 11:43:54	ga_ls7e_ard_3-0-0_113081_2016-08-26_final
2017-02-02 11:41:38	ga_ls7e_ard_3-0-0_113077_2017-02-02_final
2017-02-02 11:42:02	ga_ls7e_ard_3-0-0_113078_2017-02-02_final
2017-02-02 11:42:26	ga_ls7e_ard_3-0-0_113079_2017-02-02_final
2017-02-02 11:42:50	ga_ls7e_ard_3-0-0_113080_2017-02-02_final
2017-02-02 11:43:14	ga_ls7e_ard_3-0-0_113081_2017-02-02_final
2017-02-02 11:43:38	ga_ls7e_ard_3-0-0_113082_2017-02-02_final
2017-02-11 11:36:58	ga_ls7e_ard_3-0-0_112081_2017-02-11_final
2017-02-18 11:41:37	ga_ls7e_ard_3-0-0_113077_2017-02-18_final
2017-02-18 11:42:01	ga_ls7e_ard_3-0-0_113078_2017-02-18_final
2017-02-18 11:42:25	ga_ls7e_ard_3-0-0_113079_2017-02-18_final
2017-02-18 11:42:49	ga_ls7e_ard_3-0-0_113080_2017-02-18_final
2017-02-18 11:43:13	ga_ls7e_ard_3-0-0_113081_2017-02-18_final
2017-02-18 11:43:37	ga_ls7e_ard_3-0-0_113082_2017-02-18_final
2017-02-20 11:32:05	ga_ls7e_ard_3-0-0_111084_2017-02-20_final
2017-12-10 11:47:03	ga_ls7e_ard_3-0-0_114074_2017-12-10_final
2017-12-10 11:47:26	ga_ls7e_ard_3-0-0_114075_2017-12-10_final
2017-12-10 11:47:50	ga_ls7e_ard_3-0-0_114076_2017-12-10_final
2017-12-10 11:48:14	ga_ls7e_ard_3-0-0_114077_2017-12-10_final
2017-12-10 11:48:38	ga_ls7e_ard_3-0-0_114078_2017-12-10_final
2017-12-12 11:37:27	ga_ls7e_ard_3-0-0_112081_2017-12-12_final
2017-12-12 11:37:51	ga_ls7e_ard_3-0-0_112082_2017-12-12_final
2017-12-12 11:38:15	ga_ls7e_ard_3-0-0_112083_2017-12-12_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2020-03-05 11:22:15	ga_ls7e_ard_3-1-0_114074_2020-03-05_final
2020-03-05 11:22:38	ga_ls7e_ard_3-1-0_114075_2020-03-05_final
2020-03-05 11:23:02	ga_ls7e_ard_3-1-0_114076_2020-03-05_final
2020-03-05 11:23:26	ga_ls7e_ard_3-1-0_114077_2020-03-05_final
2020-03-05 11:23:50	ga_ls7e_ard_3-1-0_114078_2020-03-05_final
2020-03-07 11:12:34	ga_ls7e_ard_3-1-0_112081_2020-03-07_final
2020-03-07 11:13:22	ga_ls7e_ard_3-1-0_112083_2020-03-07_final
2020-03-07 11:13:46	ga_ls7e_ard_3-1-0_112084_2020-03-07_final
2020-03-21 11:21:22	ga_ls7e_ard_3-1-0_114074_2020-03-21_final
2020-03-21 11:21:46	ga_ls7e_ard_3-1-0_114075_2020-03-21_final
2020-03-21 11:22:10	ga_ls7e_ard_3-1-0_114076_2020-03-21_final
2020-03-21 11:22:34	ga_ls7e_ard_3-1-0_114077_2020-03-21_final
2020-03-21 11:22:58	ga_ls7e_ard_3-1-0_114078_2020-03-21_final
2020-03-23 11:11:41	ga_ls7e_ard_3-1-0_112081_2020-03-23_final
2020-03-23 11:12:05	ga_ls7e_ard_3-1-0_112082_2020-03-23_final
2020-03-23 11:12:29	ga_ls7e_ard_3-1-0_112083_2020-03-23_final
2020-03-23 11:12:53	ga_ls7e_ard_3-1-0_112084_2020-03-23_final
2020-04-15 11:14:58	ga_ls7e_ard_3-1-0_113077_2020-04-15_final
2020-04-15 11:15:22	ga_ls7e_ard_3-1-0_113078_2020-04-15_final
2020-04-15 11:15:45	ga_ls7e_ard_3-1-0_113079_2020-04-15_final
2020-04-15 11:16:09	ga_ls7e_ard_3-1-0_113080_2020-04-15_final
2020-04-15 11:16:33	ga_ls7e_ard_3-1-0_113081_2020-04-15_final
2020-04-15 11:16:57	ga_ls7e_ard_3-1-0_113082_2020-04-15_final
2020-04-15 11:17:21	ga_ls7e_ard_3-1-0_113083_2020-04-15_final
2020-05-08 11:18:34	ga_ls7e_ard_3-1-0_114074_2020-05-08_final
2020-05-08 11:18:58	ga_ls7e_ard_3-1-0_114075_2020-05-08_final
2020-05-08 11:19:22	ga_ls7e_ard_3-1-0_114076_2020-05-08_final
2020-05-08 11:19:46	ga_ls7e_ard_3-1-0_114077_2020-05-08_final
2020-05-08 11:20:10	ga_ls7e_ard_3-1-0_114078_2020-05-08_final
2020-06-09 11:16:39	ga_ls7e_ard_3-1-0_114074_2020-06-09_final
2020-06-09 11:17:03	ga_ls7e_ard_3-1-0_114075_2020-06-09_final
2020-06-09 11:17:27	ga_ls7e_ard_3-1-0_114076_2020-06-09_final
2020-06-09 11:17:51	ga_ls7e_ard_3-1-0_114077_2020-06-09_final
2020-06-09 11:18:15	ga_ls7e_ard_3-1-0_114078_2020-06-09_final
2020-06-11 11:06:58	ga_ls7e_ard_3-1-0_112081_2020-06-11_final
2020-06-11 11:07:22	ga_ls7e_ard_3-1-0_112082_2020-06-11_final
2020-06-11 11:08:10	ga_ls7e_ard_3-1-0_112084_2020-06-11_final
2020-06-25 11:15:43	ga_ls7e_ard_3-1-0_114074_2020-06-25_final
2020-06-25 11:16:07	ga_ls7e_ard_3-1-0_114075_2020-06-25_final
2020-06-25 11:16:30	ga_ls7e_ard_3-1-0_114076_2020-06-25_final
2020-06-25 11:16:54	ga_ls7e_ard_3-1-0_114077_2020-06-25_final
2020-06-25 11:17:18	ga_ls7e_ard_3-1-0_114078_2020-06-25_final
2020-06-27 11:06:01	ga_ls7e_ard_3-1-0_112081_2020-06-27_final
2020-06-27 11:06:25	ga_ls7e_ard_3-1-0_112082_2020-06-27_final
2020-06-27 11:06:49	ga_ls7e_ard_3-1-0_112083_2020-06-27_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