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
2016-05-20 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
2016-05-20 11:55:13	ga_ls7e_ard_3-0-0_115079_2016-05-20_final
2016-07-25 11:45:02	ga_ls7e_ard_3-0-0_113084_2016-07-25_final
2016-10-20 11:49:45	ga_ls7e_ard_3-0-0_114080_2016-10-20_final
2016-11-12 11:54:10	ga_ls7e_ard_3-0-0_115076_2016-11-12_final
2016-11-12 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-11-12_final
2016-11-12 11:54:58	ga_ls7e_ard_3-0-0_115078_2016-11-12_final
2016-11-12 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-11-12_final
2017-02-16 11:53:34	ga_ls7e_ard_3-0-0_115076_2017-02-16_final
2017-02-16 11:54:22	ga_ls7e_ard_3-0-0_115078_2017-02-16_final
2017-02-18 11:44:25	ga_ls7e_ard_3-0-0_113084_2017-02-18_final
2018-10-17 11:48:45	ga_ls7e_ard_3-0-0_115076_2018-10-17_final
2018-10-17 11:49:09	ga_ls7e_ard_3-0-0_115077_2018-10-17_final
2018-10-17 11:49:33	ga_ls7e_ard_3-0-0_115078_2018-10-17_final
2018-11-18 11:48:03	ga_ls7e_ard_3-0-0_115076_2018-11-18_final
2018-11-18 11:48:26	ga_ls7e_ard_3-0-0_115077_2018-11-18_final
2018-11-18 11:48:50	ga_ls7e_ard_3-0-0_115078_2018-11-18_final
2018-11-18 11:49:14	ga_ls7e_ard_3-0-0_115079_2018-11-18_final
2018-11-27 11:43:38	ga_ls7e_ard_3-0-0_114081_2018-11-27_final
2018-12-29 11:42:44	ga_ls7e_ard_3-0-0_114081_2018-12-29_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 11:37:29	ga_ls7e_ard_3-0-0_113084_2019-01-07_final
2019-01-14 11:42:15	ga_ls7e_ard_3-0-0_114081_2019-01-14_final
2019-01-30 11:41:43	ga_ls7e_ard_3-0-0_114081_2019-01-30_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
2019-02-15 11:41:15	ga_ls7e_ard_3-0-0_114081_2019-02-15_final
2019-02-22 11:45:13	ga_ls7e_ard_3-1-0_115076_2019-02-22_final
2019-02-22 11:45:37	ga_ls7e_ard_3-1-0_115077_2019-02-22_final
2019-02-22 11:46:01	ga_ls7e_ard_3-1-0_115078_2019-02-22_final
2019-02-22 11:46:25	ga_ls7e_ard_3-1-0_115079_2019-02-22_final
2019-02-24 11:36:00	ga_ls7e_ard_3-1-0_113084_2019-02-24_final
2019-03-03 11:40:45	ga_ls7e_ard_3-1-0_114081_2019-03-03_final
2019-03-10 11:44:43	ga_ls7e_ard_3-1-0_115076_2019-03-10_final
2019-03-10 11:45:07	ga_ls7e_ard_3-1-0_115077_2019-03-10_final
2019-03-10 11:45:31	ga_ls7e_ard_3-1-0_115078_2019-03-10_final
2019-03-10 11:45:55	ga_ls7e_ard_3-1-0_115079_2019-03-10_final
2019-03-12 11:35:29	ga_ls7e_ard_3-1-0_113084_2019-03-12_final
2019-03-19 11:40:14	ga_ls7e_ard_3-1-0_114081_2019-03-19_final
2019-03-26 11:44:11	ga_ls7e_ard_3-1-0_115076_2019-03-26_final
2019-03-26 11:44:35	ga_ls7e_ard_3-1-0_115077_2019-03-26_final
2019-03-26 11:44:59	ga_ls7e_ard_3-1-0_115078_2019-03-26_final
2019-03-26 11:45:23	ga_ls7e_ard_3-1-0_115079_2019-03-26_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
2019-05-15 11:33:11	ga_ls7e_ard_3-0-0_113084_2019-05-15_final
2019-05-22 11:37:53	ga_ls7e_ard_3-0-0_114081_2019-05-22_final
2019-06-30 11:40:40	ga_ls7e_ard_3-0-0_115076_2019-06-30_final
2019-06-30 11:41:04	ga_ls7e_ard_3-1-0_115077_2019-06-30_final
2019-06-30 11:41:28	ga_ls7e_ard_3-0-0_115078_2019-06-30_final
2019-06-30 11:41:52	ga_ls7e_ard_3-0-0_115079_2019-06-30_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
2019-08-01 11:40:36	ga_ls7e_ard_3-0-0_115079_2019-08-01_final
2019-08-10 11:34:51	ga_ls7e_ard_3-0-0_114081_2019-08-10_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
2019-08-19 11:29:29	ga_ls7e_ard_3-0-0_113084_2019-08-19_final
2019-08-26 11:34:10	ga_ls7e_ard_3-1-0_114081_2019-08-26_final
2019-09-02 11:38:03	ga_ls7e_ard_3-1-0_115076_2019-09-02_final
2019-09-02 11:38:27	ga_ls7e_ard_3-1-0_115077_2019-09-02_final
2019-09-02 11:38:51	ga_ls7e_ard_3-1-0_115078_2019-09-02_final
2019-09-02 11:39:15	ga_ls7e_ard_3-1-0_115079_2019-09-02_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-18 11:37:45	ga_ls7e_ard_3-1-0_115077_2019-09-18_final
2019-09-18 11:38:09	ga_ls7e_ard_3-1-0_115078_2019-09-18_final
2019-09-18 11:38:33	ga_ls7e_ard_3-1-0_115079_2019-09-18_final
2019-09-20 11:28:06	ga_ls7e_ard_3-1-0_113084_2019-09-20_final
2019-09-27 11:32:46	ga_ls7e_ard_3-1-0_114081_2019-09-27_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
2019-10-20 11:37:12	ga_ls7e_ard_3-1-0_115079_2019-10-20_final
2019-10-22 11:26:45	ga_ls7e_ard_3-1-0_113084_2019-10-22_final
2019-11-14 11:30:42	ga_ls7e_ard_3-1-0_114081_2019-11-14_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
2019-12-07 11:34:59	ga_ls7e_ard_3-1-0_115079_2019-12-07_final
2019-12-09 11:24:31	ga_ls7e_ard_3-1-0_113084_2019-12-09_final
2020-01-01 11:28:19	ga_ls7e_ard_3-1-0_114081_2020-01-01_final
2020-01-17 11:27:31	ga_ls7e_ard_3-1-0_114081_2020-01-17_final
2020-01-24 11:31:45	ga_ls7e_ard_3-1-0_115077_2020-01-24_final
2020-01-24 11:32:09	ga_ls7e_ard_3-1-0_115078_2020-01-24_final
2020-01-24 11:32:33	ga_ls7e_ard_3-1-0_115079_2020-01-24_final
2020-01-26 11:22:05	ga_ls7e_ard_3-1-0_113084_2020-01-26_final
2020-02-02 11:26:43	ga_ls7e_ard_3-1-0_114081_2020-02-02_final
2020-02-09 11:30:56	ga_ls7e_ard_3-1-0_115077_2020-02-09_final
2020-02-09 11:31:20	ga_ls7e_ard_3-1-0_115078_2020-02-09_final
2020-02-09 11:31:44	ga_ls7e_ard_3-1-0_115079_2020-02-09_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