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
2016-06-07 11:44:34	ga_ls7e_ard_3-0-0_113083_2016-06-07_final
2016-06-14 11:49:10	ga_ls7e_ard_3-0-0_114079_2016-06-14_final
2016-06-14 11:49:34	ga_ls7e_ard_3-0-0_114080_2016-06-14_final
2016-06-14 11:49:58	ga_ls7e_ard_3-0-0_114081_2016-06-14_final
2016-06-23 11:44:36	ga_ls7e_ard_3-0-0_113083_2016-06-23_final
2016-06-23 11:45:00	ga_ls7e_ard_3-0-0_113084_2016-06-23_final
2016-07-23 11:55:00	ga_ls7e_ard_3-0-0_115078_2016-07-23_final
2016-07-23 11:55:24	ga_ls7e_ard_3-0-0_115079_2016-07-23_final
2016-08-01 11:49:14	ga_ls7e_ard_3-0-0_114079_2016-08-01_final
2016-08-01 11:49:38	ga_ls7e_ard_3-0-0_114080_2016-08-01_final
2016-08-01 11:50:02	ga_ls7e_ard_3-0-0_114081_2016-08-01_final
2016-08-24 11:53:28	ga_ls7e_ard_3-0-0_115074_2016-08-24_final
2016-08-24 11:53:52	ga_ls7e_ard_3-0-0_115075_2016-08-24_final
2016-08-24 11:54:16	ga_ls7e_ard_3-0-0_115076_2016-08-24_final
2016-08-24 11:54:40	ga_ls7e_ard_3-0-0_115077_2016-08-24_final
2016-08-24 11:55:04	ga_ls7e_ard_3-0-0_115078_2016-08-24_final
2016-08-24 11:55:27	ga_ls7e_ard_3-0-0_115079_2016-08-24_final
2016-08-26 11:44:42	ga_ls7e_ard_3-0-0_113083_2016-08-26_final
2016-08-26 11:45:06	ga_ls7e_ard_3-0-0_113084_2016-08-26_final
2016-09-09 11:53:31	ga_ls7e_ard_3-0-0_115074_2016-09-09_final
2016-09-09 11:53:55	ga_ls7e_ard_3-0-0_115075_2016-09-09_final
2016-09-09 11:54:19	ga_ls7e_ard_3-0-0_115076_2016-09-09_final
2016-09-09 11:54:42	ga_ls7e_ard_3-0-0_115077_2016-09-09_final
2016-09-09 11:55:06	ga_ls7e_ard_3-0-0_115078_2016-09-09_final
2016-09-09 11:55:30	ga_ls7e_ard_3-0-0_115079_2016-09-09_final
2016-10-11 11:53:34	ga_ls7e_ard_3-0-0_115074_2016-10-11_final
2016-10-11 11:53:58	ga_ls7e_ard_3-0-0_115075_2016-10-11_final
2016-10-11 11:54:22	ga_ls7e_ard_3-0-0_115076_2016-10-11_final
2016-10-11 11:54:45	ga_ls7e_ard_3-0-0_115077_2016-10-11_final
2016-10-11 11:55:09	ga_ls7e_ard_3-0-0_115078_2016-10-11_final
2016-10-11 11:55:33	ga_ls7e_ard_3-0-0_115079_2016-10-11_final
2016-10-13 11:44:47	ga_ls7e_ard_3-0-0_113083_2016-10-13_final
2016-10-13 11:45:11	ga_ls7e_ard_3-0-0_113084_2016-10-13_final
2016-11-21 11:49:09	ga_ls7e_ard_3-0-0_114079_2016-11-21_final
2016-11-21 11:49:33	ga_ls7e_ard_3-0-0_114080_2016-11-21_final
2017-01-08 11:48:51	ga_ls7e_ard_3-0-0_114079_2017-01-08_final
2017-01-08 11:49:15	ga_ls7e_ard_3-0-0_114080_2017-01-08_final
2017-01-15 11:53:21	ga_ls7e_ard_3-0-0_115075_2017-01-15_final
2017-01-15 11:54:09	ga_ls7e_ard_3-0-0_115077_2017-01-15_final
2017-01-15 11:54:33	ga_ls7e_ard_3-0-0_115078_2017-01-15_final
2017-01-15 11:54:57	ga_ls7e_ard_3-0-0_115079_2017-01-15_final
2017-01-17 11:44:10	ga_ls7e_ard_3-0-0_113083_2017-01-17_final
2017-12-01 11:53:18	ga_ls7e_ard_3-0-0_115074_2017-12-01_final
2017-12-01 11:53:42	ga_ls7e_ard_3-0-0_115075_2017-12-01_final
2017-12-01 11:54:06	ga_ls7e_ard_3-0-0_115076_2017-12-01_final
2017-12-01 11:54:30	ga_ls7e_ard_3-1-0_115077_2017-12-01_final
2017-12-01 11:54:54	ga_ls7e_ard_3-0-0_115078_2017-12-01_final
2017-12-01 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-12-01_final
2017-12-10 11:48:38	ga_ls7e_ard_3-0-0_114078_2017-12-10_final
2017-12-10 11:49:02	ga_ls7e_ard_3-0-0_114079_2017-12-10_final
2017-12-10 11:49:26	ga_ls7e_ard_3-0-0_114080_2017-12-10_final
2017-12-26 11:48:28	ga_ls7e_ard_3-0-0_114078_2017-12-26_final
2017-12-26 11:48:52	ga_ls7e_ard_3-0-0_114079_2017-12-26_final
2017-12-26 11:49:16	ga_ls7e_ard_3-0-0_114080_2017-12-26_final
2018-04-17 11:47:20	ga_ls7e_ard_3-0-0_114079_2018-04-17_final
2018-04-17 11:47:44	ga_ls7e_ard_3-0-0_114080_2018-04-17_final
2018-05-26 11:50:52	ga_ls7e_ard_3-0-0_115074_2018-05-26_final
2018-05-26 11:51:16	ga_ls7e_ard_3-0-0_115075_2018-05-26_final
2018-05-26 11:51:39	ga_ls7e_ard_3-0-0_115076_2018-05-26_final
2018-05-26 11:52:03	ga_ls7e_ard_3-0-0_115077_2018-05-26_final
2018-05-26 11:52:27	ga_ls7e_ard_3-0-0_115078_2018-05-26_final
2018-05-26 11:52:51	ga_ls7e_ard_3-0-0_115079_2018-05-26_final
2018-05-28 11:42:04	ga_ls7e_ard_3-0-0_113083_2018-05-28_final
2018-05-28 11:42:27	ga_ls7e_ard_3-0-0_113084_2018-05-28_final
2018-06-11 11:50:35	ga_ls7e_ard_3-0-0_115074_2018-06-11_final
2018-06-11 11:50:59	ga_ls7e_ard_3-0-0_115075_2018-06-11_final
2018-06-11 11:51:23	ga_ls7e_ard_3-0-0_115076_2018-06-11_final
2018-06-11 11:51:47	ga_ls7e_ard_3-1-0_115077_2018-06-11_final
2018-06-11 11:52:11	ga_ls7e_ard_3-0-0_115078_2018-06-11_final
2018-06-11 11:52:35	ga_ls7e_ard_3-0-0_115079_2018-06-11_final
2018-06-20 11:46:14	ga_ls7e_ard_3-0-0_114079_2018-06-20_final
2018-06-20 11:46:38	ga_ls7e_ard_3-0-0_114080_2018-06-20_final
2018-06-20 11:47:02	ga_ls7e_ard_3-0-0_114081_2018-06-20_final
2018-07-06 11:45:55	ga_ls7e_ard_3-0-0_114079_2018-07-06_final
2018-07-06 11:46:19	ga_ls7e_ard_3-0-0_114080_2018-07-06_final
2018-07-06 11:46:43	ga_ls7e_ard_3-0-0_114081_2018-07-06_final
2021-05-18 10:59:21	ga_ls7e_ard_3-2-0_115076_2021-05-18_final
2021-05-18 10:59:45	ga_ls7e_ard_3-2-0_115077_2021-05-18_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-05 10:54:57	ga_ls7e_ard_3-2-0_115075_2021-07-05_final
2021-07-05 10:55:21	ga_ls7e_ard_3-2-0_115076_2021-07-05_final
2021-07-05 10:55:45	ga_ls7e_ard_3-2-0_115077_2021-07-05_final
2021-07-05 10:56:09	ga_ls7e_ard_3-2-0_115078_2021-07-05_final
2021-07-05 10:56:33	ga_ls7e_ard_3-2-0_115079_2021-07-05_final
2021-07-07 10:45:37	ga_ls7e_ard_3-2-0_113083_2021-07-07_final
2021-07-07 10:46:01	ga_ls7e_ard_3-2-0_113084_2021-07-07_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-07-14 10:50:00	ga_ls7e_ard_3-2-0_114080_2021-07-14_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_final
2021-07-21 10:53:35	ga_ls7e_ard_3-2-0_115075_2021-07-21_final
2021-07-21 10:54:23	ga_ls7e_ard_3-2-0_115077_2021-07-21_final
2021-07-21 10:54:47	ga_ls7e_ard_3-2-0_115078_2021-07-21_final
2021-07-21 10:55:11	ga_ls7e_ard_3-2-0_115079_2021-07-21_final
2021-08-06 10:52:11	ga_ls7e_ard_3-2-0_115075_2021-08-06_final
2021-08-06 10:52:35	ga_ls7e_ard_3-2-0_115076_2021-08-06_final
2021-08-06 10:52:59	ga_ls7e_ard_3-2-0_115077_2021-08-06_final
2021-08-06 10:53:23	ga_ls7e_ard_3-2-0_115078_2021-08-06_final
2021-08-06 10:53:47	ga_ls7e_ard_3-2-0_115079_2021-08-06_final
2021-08-15 10:46:47	ga_ls7e_ard_3-2-0_114079_2021-08-15_final
2021-08-15 10:47:11	ga_ls7e_ard_3-2-0_114080_2021-08-15_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