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
2009-02-03 11:36:48	ga_ls7e_ard_3-0-0_114080_2009-02-03_final
2009-02-10 11:41:04	ga_ls7e_ard_3-0-0_115075_2009-02-10_final
2009-02-10 11:41:27	ga_ls7e_ard_3-0-0_115076_2009-02-10_final
2009-02-10 11:41:51	ga_ls7e_ard_3-0-0_115077_2009-02-10_final
2009-02-10 11:42:15	ga_ls7e_ard_3-0-0_115078_2009-02-10_final
2009-02-10 11:42:39	ga_ls7e_ard_3-0-0_115079_2009-02-10_final
2009-02-12 11:31:55	ga_ls7e_ard_3-0-0_113083_2009-02-12_final
2009-03-23 11:36:50	ga_ls7e_ard_3-0-0_114079_2009-03-23_final
2009-03-23 11:37:14	ga_ls7e_ard_3-0-0_114080_2009-03-23_final
2009-04-15 11:42:21	ga_ls7e_ard_3-1-0_115077_2009-04-15_final
2009-04-15 11:42:45	ga_ls7e_ard_3-0-0_115078_2009-04-15_final
2009-04-15 11:43:09	ga_ls7e_ard_3-0-0_115079_2009-04-15_final
2009-04-17 11:32:23	ga_ls7e_ard_3-0-0_113083_2009-04-17_final
2009-04-17 11:32:47	ga_ls7e_ard_3-0-0_113084_2009-04-17_final
2009-05-01 11:41:37	ga_ls7e_ard_3-0-0_115075_2009-05-01_final
2009-05-01 11:42:01	ga_ls7e_ard_3-0-0_115076_2009-05-01_final
2009-05-01 11:42:24	ga_ls7e_ard_3-1-0_115077_2009-05-01_final
2009-05-01 11:42:48	ga_ls7e_ard_3-0-0_115078_2009-05-01_final
2009-05-01 11:43:12	ga_ls7e_ard_3-0-0_115079_2009-05-01_final
2009-05-03 11:32:27	ga_ls7e_ard_3-0-0_113083_2009-05-03_final
2009-05-03 11:32:51	ga_ls7e_ard_3-0-0_113084_2009-05-03_final
2009-07-22 11:32:44	ga_ls7e_ard_3-0-0_113084_2009-07-22_final
2009-08-14 11:36:47	ga_ls7e_ard_3-0-0_114079_2009-08-14_final
2009-08-14 11:37:11	ga_ls7e_ard_3-0-0_114080_2009-08-14_final
2015-03-31 11:50:40	ga_ls7e_ard_3-0-0_115076_2015-03-31_final
2015-03-31 11:51:28	ga_ls7e_ard_3-0-0_115078_2015-03-31_final
2015-04-02 11:41:07	ga_ls7e_ard_3-0-0_113083_2015-04-02_final
2015-04-02 11:41:31	ga_ls7e_ard_3-0-0_113084_2015-04-02_final
2015-05-11 11:46:01	ga_ls7e_ard_3-0-0_114079_2015-05-11_final
2015-05-11 11:46:25	ga_ls7e_ard_3-0-0_114080_2015-05-11_final
2015-05-11 11:46:49	ga_ls7e_ard_3-0-0_114081_2015-05-11_final
2015-07-23 11:41:47	ga_ls7e_ard_3-0-0_113083_2015-07-23_final
2015-07-23 11:42:11	ga_ls7e_ard_3-0-0_113084_2015-07-23_final
2017-03-13 11:48:47	ga_ls7e_ard_3-0-0_114079_2017-03-13_final
2017-04-14 11:48:57	ga_ls7e_ard_3-0-0_114079_2017-04-14_final
2017-05-23 11:53:43	ga_ls7e_ard_3-0-0_115075_2017-05-23_final
2017-05-23 11:54:06	ga_ls7e_ard_3-0-0_115076_2017-05-23_final
2017-05-23 11:54:30	ga_ls7e_ard_3-0-0_115077_2017-05-23_final
2017-05-23 11:54:54	ga_ls7e_ard_3-0-0_115078_2017-05-23_final
2017-05-23 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-05-23_final
2017-05-25 11:44:33	ga_ls7e_ard_3-0-0_113083_2017-05-25_final
2017-05-25 11:44:57	ga_ls7e_ard_3-0-0_113084_2017-05-25_final
2017-06-24 11:53:51	ga_ls7e_ard_3-0-0_115075_2017-06-24_final
2017-06-24 11:54:15	ga_ls7e_ard_3-0-0_115076_2017-06-24_final
2017-06-24 11:54:39	ga_ls7e_ard_3-1-0_115077_2017-06-24_final
2017-06-26 11:44:41	ga_ls7e_ard_3-0-0_113083_2017-06-26_final
2017-06-26 11:45:05	ga_ls7e_ard_3-0-0_113084_2017-06-26_final
2017-07-10 11:53:52	ga_ls7e_ard_3-0-0_115075_2017-07-10_final
2017-07-10 11:54:16	ga_ls7e_ard_3-0-0_115076_2017-07-10_final
2017-07-10 11:54:40	ga_ls7e_ard_3-1-0_115077_2017-07-10_final
2017-07-10 11:55:04	ga_ls7e_ard_3-0-0_115078_2017-07-10_final
2017-07-10 11:55:28	ga_ls7e_ard_3-0-0_115079_2017-07-10_final
2017-07-12 11:44:42	ga_ls7e_ard_3-0-0_113083_2017-07-12_final
2017-07-19 11:49:17	ga_ls7e_ard_3-0-0_114079_2017-07-19_final
2017-08-20 11:49:14	ga_ls7e_ard_3-0-0_114079_2017-08-20_final
2017-10-14 11:53:50	ga_ls7e_ard_3-0-0_115075_2017-10-14_final
2017-10-14 11:54:14	ga_ls7e_ard_3-0-0_115076_2017-10-14_final
2017-10-14 11:54:38	ga_ls7e_ard_3-1-0_115077_2017-10-14_final
2017-10-14 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-14_final
2017-10-14 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-14_final
2017-11-01 11:44:40	ga_ls7e_ard_3-0-0_113083_2017-11-01_final
2018-03-23 11:52:18	ga_ls7e_ard_3-0-0_115075_2018-03-23_final
2018-03-23 11:52:42	ga_ls7e_ard_3-0-0_115076_2018-03-23_final
2018-03-23 11:53:06	ga_ls7e_ard_3-1-0_115077_2018-03-23_final
2018-03-23 11:53:30	ga_ls7e_ard_3-0-0_115078_2018-03-23_final
2018-03-23 11:53:54	ga_ls7e_ard_3-0-0_115079_2018-03-23_final
2018-05-10 11:51:30	ga_ls7e_ard_3-0-0_115075_2018-05-10_final
2018-05-10 11:51:54	ga_ls7e_ard_3-0-0_115076_2018-05-10_final
2018-05-10 11:52:18	ga_ls7e_ard_3-1-0_115077_2018-05-10_final
2018-05-10 11:52:42	ga_ls7e_ard_3-0-0_115078_2018-05-10_final
2018-05-10 11:53:06	ga_ls7e_ard_3-0-0_115079_2018-05-10_final
2018-05-12 11:42:18	ga_ls7e_ard_3-0-0_113083_2018-05-12_final
2018-05-12 11:42:42	ga_ls7e_ard_3-0-0_113084_2018-05-12_final
2018-10-26 11:43:59	ga_ls7e_ard_3-0-0_114080_2018-10-26_final
2018-10-26 11:44:23	ga_ls7e_ard_3-0-0_114081_2018-10-26_final
2018-12-13 11:42:24	ga_ls7e_ard_3-0-0_114079_2018-12-13_final
2018-12-13 11:42:48	ga_ls7e_ard_3-0-0_114080_2018-12-13_final
2018-12-13 11:43:12	ga_ls7e_ard_3-0-0_114081_2018-12-13_final
2019-01-05 11:46:19	ga_ls7e_ard_3-0-0_115075_2019-01-05_final
2019-01-05 11:46:43	ga_ls7e_ard_3-0-0_115076_2019-01-05_final
2019-01-05 11:47:07	ga_ls7e_ard_3-1-0_115077_2019-01-05_final
2019-01-05 11:47:54	ga_ls7e_ard_3-0-0_115079_2019-01-05_final
2019-01-07 11:37:05	ga_ls7e_ard_3-0-0_113083_2019-01-07_final
2019-01-07 11:37:29	ga_ls7e_ard_3-0-0_113084_2019-01-07_final
2019-02-06 11:45:18	ga_ls7e_ard_3-0-0_115075_2019-02-06_final
2019-02-06 11:45:42	ga_ls7e_ard_3-0-0_115076_2019-02-06_final
2019-02-06 11:46:06	ga_ls7e_ard_3-1-0_115077_2019-02-06_final
2019-02-06 11:46:30	ga_ls7e_ard_3-0-0_115078_2019-02-06_final
2019-02-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2019-02-06_final
2019-02-08 11:36:05	ga_ls7e_ard_3-0-0_113083_2019-02-08_final
2019-02-08 11:36:29	ga_ls7e_ard_3-0-0_113084_2019-02-08_final
2019-03-19 11:39:50	ga_ls7e_ard_3-1-0_114080_2019-03-19_final
2019-03-19 11:40:14	ga_ls7e_ard_3-1-0_114081_2019-03-19_final
2019-04-04 11:39:18	ga_ls7e_ard_3-0-0_114080_2019-04-04_final
2019-04-27 11:42:39	ga_ls7e_ard_3-0-0_115075_2019-04-27_final
2019-04-27 11:43:03	ga_ls7e_ard_3-0-0_115076_2019-04-27_final
2019-04-27 11:43:27	ga_ls7e_ard_3-1-0_115077_2019-04-27_final
2019-04-27 11:43:50	ga_ls7e_ard_3-0-0_115078_2019-04-27_final
2019-04-27 11:44:14	ga_ls7e_ard_3-0-0_115079_2019-04-27_final
2019-05-31 11:32:12	ga_ls7e_ard_3-0-0_113083_2019-05-31_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