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
2009-08-30 11:36:00	ga_ls7e_ard_3-0-0_114077_2009-08-30_final
2009-08-30 11:36:24	ga_ls7e_ard_3-0-0_114078_2009-08-30_final
2009-08-30 11:36:48	ga_ls7e_ard_3-0-0_114079_2009-08-30_final
2009-08-30 11:37:12	ga_ls7e_ard_3-0-0_114080_2009-08-30_final
2009-10-01 11:35:33	ga_ls7e_ard_3-0-0_114076_2009-10-01_final
2009-10-01 11:35:56	ga_ls7e_ard_3-0-0_114077_2009-10-01_final
2009-10-01 11:36:20	ga_ls7e_ard_3-0-0_114078_2009-10-01_final
2009-10-01 11:36:44	ga_ls7e_ard_3-0-0_114079_2009-10-01_final
2009-10-01 11:37:08	ga_ls7e_ard_3-0-0_114080_2009-10-01_final
2009-10-01 11:37:32	ga_ls7e_ard_3-0-0_114081_2009-10-01_final
2013-01-13 11:41:58	ga_ls7e_ard_3-0-0_114077_2013-01-13_final
2013-01-13 11:42:22	ga_ls7e_ard_3-0-0_114078_2013-01-13_final
2013-01-13 11:42:46	ga_ls7e_ard_3-0-0_114079_2013-01-13_final
2013-01-13 11:43:10	ga_ls7e_ard_3-0-0_114080_2013-01-13_final
2013-01-15 11:32:23	ga_ls7e_ard_3-0-0_112084_2013-01-15_final
2013-01-22 11:37:25	ga_ls7e_ard_3-0-0_113081_2013-01-22_final
2013-01-22 11:37:49	ga_ls7e_ard_3-0-0_113082_2013-01-22_final
2013-01-22 11:38:13	ga_ls7e_ard_3-0-0_113083_2013-01-22_final
2013-01-22 11:38:37	ga_ls7e_ard_3-0-0_113084_2013-01-22_final
2013-02-14 11:42:01	ga_ls7e_ard_3-0-0_114077_2013-02-14_final
2013-02-14 11:42:25	ga_ls7e_ard_3-0-0_114078_2013-02-14_final
2013-02-14 11:42:49	ga_ls7e_ard_3-0-0_114079_2013-02-14_final
2013-02-14 11:43:13	ga_ls7e_ard_3-0-0_114080_2013-02-14_final
2013-02-14 11:43:37	ga_ls7e_ard_3-0-0_114081_2013-02-14_final
2013-02-23 11:37:24	ga_ls7e_ard_3-0-0_113081_2013-02-23_final
2013-02-23 11:37:48	ga_ls7e_ard_3-0-0_113082_2013-02-23_final
2013-02-23 11:38:36	ga_ls7e_ard_3-0-0_113084_2013-02-23_final
2013-05-07 11:32:09	ga_ls7e_ard_3-0-0_112084_2013-05-07_final
2013-07-17 11:36:37	ga_ls7e_ard_3-0-0_113081_2013-07-17_final
2013-07-17 11:37:01	ga_ls7e_ard_3-0-0_113082_2013-07-17_final
2013-07-17 11:37:25	ga_ls7e_ard_3-0-0_113083_2013-07-17_final
2013-07-17 11:37:49	ga_ls7e_ard_3-0-0_113084_2013-07-17_final
2013-08-02 11:36:30	ga_ls7e_ard_3-0-0_113081_2013-08-02_final
2013-08-02 11:36:53	ga_ls7e_ard_3-0-0_113082_2013-08-02_final
2013-08-02 11:37:17	ga_ls7e_ard_3-0-0_113083_2013-08-02_final
2016-05-20 11:53:13	ga_ls7e_ard_3-0-0_115074_2016-05-20_final
2016-05-20 11:53:37	ga_ls7e_ard_3-0-0_115075_2016-05-20_final
2016-05-20 11:54:01	ga_ls7e_ard_3-0-0_115076_2016-05-20_final
2016-05-20 11:54:25	ga_ls7e_ard_3-1-0_115077_2016-05-20_final
2016-05-20 11:54:49	ga_ls7e_ard_3-0-0_115078_2016-05-20_final
2016-05-22 11:43:40	ga_ls7e_ard_3-0-0_113081_2016-05-22_final
2016-05-22 11:44:04	ga_ls7e_ard_3-0-0_113082_2016-05-22_final
2016-05-22 11:44:28	ga_ls7e_ard_3-0-0_113083_2016-05-22_final
2016-06-05 11:53:19	ga_ls7e_ard_3-0-0_115074_2016-06-05_final
2016-06-05 11:53:43	ga_ls7e_ard_3-0-0_115075_2016-06-05_final
2016-08-19 11:38:53	ga_ls7e_ard_3-0-0_112084_2016-08-19_final
2016-11-05 11:48:27	ga_ls7e_ard_3-0-0_114077_2016-11-05_final
2016-11-05 11:48:51	ga_ls7e_ard_3-0-0_114078_2016-11-05_final
2016-11-05 11:49:15	ga_ls7e_ard_3-0-0_114079_2016-11-05_final
2016-11-05 11:49:39	ga_ls7e_ard_3-0-0_114080_2016-11-05_final
2019-07-02 11:30:13	ga_ls7e_ard_3-0-0_113081_2019-07-02_final
2019-07-25 11:33:54	ga_ls7e_ard_3-0-0_114077_2019-07-25_final
2019-07-25 11:34:18	ga_ls7e_ard_3-0-0_114078_2019-07-25_final
2019-07-25 11:34:42	ga_ls7e_ard_3-0-0_114079_2019-07-25_final
2019-07-25 11:35:06	ga_ls7e_ard_3-0-0_114080_2019-07-25_final
2019-08-01 11:38:36	ga_ls7e_ard_3-0-0_115074_2019-08-01_final
2019-08-01 11:39:00	ga_ls7e_ard_3-0-0_115075_2019-08-01_final
2019-08-01 11:39:24	ga_ls7e_ard_3-0-0_115076_2019-08-01_final
2019-08-01 11:39:48	ga_ls7e_ard_3-0-0_115077_2019-08-01_final
2019-08-01 11:40:12	ga_ls7e_ard_3-0-0_115078_2019-08-01_final
2019-08-03 11:28:57	ga_ls7e_ard_3-0-0_113081_2019-08-03_final
2019-08-03 11:29:21	ga_ls7e_ard_3-0-0_113082_2019-08-03_final
2019-08-03 11:29:45	ga_ls7e_ard_3-0-0_113083_2019-08-03_final
2019-08-17 11:37:56	ga_ls7e_ard_3-0-0_115074_2019-08-17_final
2019-08-17 11:38:20	ga_ls7e_ard_3-0-0_115075_2019-08-17_final
2019-08-17 11:38:44	ga_ls7e_ard_3-0-0_115076_2019-08-17_final
2019-08-17 11:39:08	ga_ls7e_ard_3-1-0_115077_2019-08-17_final
2019-08-17 11:39:32	ga_ls7e_ard_3-0-0_115078_2019-08-17_final
2019-10-13 11:30:31	ga_ls7e_ard_3-1-0_114077_2019-10-13_final
2019-10-13 11:30:55	ga_ls7e_ard_3-1-0_114078_2019-10-13_final
2019-10-13 11:31:19	ga_ls7e_ard_3-1-0_114079_2019-10-13_final
2019-10-13 11:31:43	ga_ls7e_ard_3-1-0_114080_2019-10-13_final
2019-10-20 11:35:12	ga_ls7e_ard_3-1-0_115074_2019-10-20_final
2019-10-20 11:35:36	ga_ls7e_ard_3-1-0_115075_2019-10-20_final
2019-10-20 11:36:00	ga_ls7e_ard_3-1-0_115076_2019-10-20_final
2019-10-20 11:36:24	ga_ls7e_ard_3-1-0_115077_2019-10-20_final
2019-10-20 11:36:48	ga_ls7e_ard_3-1-0_115078_2019-10-20_final
2019-10-29 11:29:50	ga_ls7e_ard_3-1-0_114077_2019-10-29_final
2019-10-29 11:30:14	ga_ls7e_ard_3-1-0_114078_2019-10-29_final
2019-10-29 11:30:38	ga_ls7e_ard_3-1-0_114079_2019-10-29_final
2019-10-29 11:31:02	ga_ls7e_ard_3-1-0_114080_2019-10-29_final
2019-10-29 11:31:26	ga_ls7e_ard_3-1-0_114081_2019-10-29_final
2019-11-30 11:28:21	ga_ls7e_ard_3-1-0_114077_2019-11-30_final
2019-11-30 11:28:45	ga_ls7e_ard_3-1-0_114078_2019-11-30_final
2019-11-30 11:29:08	ga_ls7e_ard_3-1-0_114079_2019-11-30_final
2019-11-30 11:29:32	ga_ls7e_ard_3-1-0_114080_2019-11-30_final
2019-11-30 11:29:56	ga_ls7e_ard_3-1-0_114081_2019-11-30_final
2019-12-07 11:32:59	ga_ls7e_ard_3-1-0_115074_2019-12-07_final
2019-12-07 11:33:23	ga_ls7e_ard_3-1-0_115075_2019-12-07_final
2019-12-07 11:33:47	ga_ls7e_ard_3-1-0_115076_2019-12-07_final
2019-12-07 11:34:11	ga_ls7e_ard_3-1-0_115077_2019-12-07_final
2019-12-07 11:34:35	ga_ls7e_ard_3-1-0_115078_2019-12-07_final
2019-12-09 11:23:19	ga_ls7e_ard_3-1-0_113081_2019-12-09_final
2019-12-09 11:23:43	ga_ls7e_ard_3-1-0_113082_2019-12-09_final
2019-12-09 11:24:07	ga_ls7e_ard_3-1-0_113083_2019-12-09_final
2019-12-09 11:24:31	ga_ls7e_ard_3-1-0_113084_2019-12-09_final
2020-02-02 11:25:07	ga_ls7e_ard_3-1-0_114077_2020-02-02_final
2020-02-02 11:25:31	ga_ls7e_ard_3-1-0_114078_2020-02-02_final
2020-02-02 11:25:55	ga_ls7e_ard_3-1-0_114079_2020-02-02_final
2020-02-02 11:26:19	ga_ls7e_ard_3-1-0_114080_2020-02-02_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