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
2006-12-30 09:43:59	ga_ls7e_ard_3-0-0_096075_2006-12-30_final
2007-02-16 09:44:13	ga_ls7e_ard_3-0-0_096075_2007-02-16_final
2007-05-07 09:44:12	ga_ls7e_ard_3-0-0_096075_2007-05-07_final
2007-05-23 09:44:05	ga_ls7e_ard_3-0-0_096075_2007-05-23_final
2007-06-08 09:44:03	ga_ls7e_ard_3-0-0_096075_2007-06-08_final
2007-09-12 09:43:36	ga_ls7e_ard_3-0-0_096075_2007-09-12_final
2007-09-28 09:43:32	ga_ls7e_ard_3-0-0_096075_2007-09-28_final
2007-10-30 09:43:44	ga_ls7e_ard_3-0-0_096075_2007-10-30_final
2007-11-15 09:43:54	ga_ls7e_ard_3-0-0_096075_2007-11-15_final
2007-12-01 09:44:01	ga_ls7e_ard_3-0-0_096075_2007-12-01_final
2007-12-17 09:44:06	ga_ls7e_ard_3-0-0_096075_2007-12-17_final
2008-01-02 09:44:08	ga_ls7e_ard_3-0-0_096075_2008-01-02_final
2008-02-19 09:44:02	ga_ls7e_ard_3-0-0_096075_2008-02-19_final
2008-03-06 09:43:57	ga_ls7e_ard_3-0-0_096075_2008-03-06_final
2008-04-07 09:43:55	ga_ls7e_ard_3-0-0_096075_2008-04-07_final
2008-05-25 09:43:42	ga_ls7e_ard_3-0-0_096075_2008-05-25_final
2008-06-10 09:43:34	ga_ls7e_ard_3-0-0_096075_2008-06-10_final
2008-07-12 09:43:13	ga_ls7e_ard_3-0-0_096075_2008-07-12_final
2008-08-29 09:42:50	ga_ls7e_ard_3-0-0_096075_2008-08-29_final
2008-09-30 09:42:32	ga_ls7e_ard_3-0-0_096075_2008-09-30_final
2008-10-16 09:42:28	ga_ls7e_ard_3-0-0_096075_2008-10-16_final
2009-02-21 09:43:45	ga_ls7e_ard_3-0-0_096075_2009-02-21_final
2018-06-06 09:53:39	ga_ls7e_ard_3-0-0_096075_2018-06-06_final
2018-07-08 09:53:02	ga_ls7e_ard_3-0-0_096075_2018-07-08_final
2018-08-09 09:52:28	ga_ls7e_ard_3-0-0_096075_2018-08-09_final
2018-08-25 09:52:09	ga_ls7e_ard_3-0-0_096075_2018-08-25_final
2018-09-10 09:51:49	ga_ls7e_ard_3-0-0_096075_2018-09-10_final
2018-09-26 09:51:27	ga_ls7e_ard_3-0-0_096075_2018-09-26_final
2018-10-12 09:51:03	ga_ls7e_ard_3-0-0_096075_2018-10-12_final
2018-11-13 09:50:20	ga_ls7e_ard_3-0-0_096075_2018-11-13_final
2018-11-29 09:49:57	ga_ls7e_ard_3-0-0_096075_2018-11-29_final
2018-12-15 09:49:31	ga_ls7e_ard_3-0-0_096075_2018-12-15_final
2018-12-31 09:49:02	ga_ls7e_ard_3-0-0_096075_2018-12-31_final
2019-01-16 09:48:32	ga_ls7e_ard_3-0-0_096075_2019-01-16_final
2019-02-17 09:47:33	ga_ls7e_ard_3-1-0_096075_2019-02-17_final
2019-03-05 09:47:03	ga_ls7e_ard_3-1-0_096075_2019-03-05_final
2019-03-21 09:46:32	ga_ls7e_ard_3-1-0_096075_2019-03-21_final
2019-04-06 09:45:59	ga_ls7e_ard_3-0-0_096075_2019-04-06_final
2019-04-22 09:45:25	ga_ls7e_ard_3-0-0_096075_2019-04-22_final
2019-05-08 09:44:48	ga_ls7e_ard_3-0-0_096075_2019-05-08_final
2019-05-24 09:44:11	ga_ls7e_ard_3-0-0_096075_2019-05-24_final
2019-06-09 09:43:37	ga_ls7e_ard_3-0-0_096075_2019-06-09_final
2019-06-25 09:43:02	ga_ls7e_ard_3-0-0_096075_2019-06-25_final
2019-07-11 09:42:25	ga_ls7e_ard_3-0-0_096075_2019-07-11_final
2019-07-27 09:41:47	ga_ls7e_ard_3-0-0_096075_2019-07-27_final
2019-08-12 09:41:08	ga_ls7e_ard_3-0-0_096075_2019-08-12_final
2019-08-28 09:40:27	ga_ls7e_ard_3-1-0_096075_2019-08-28_final
2019-09-13 09:39:45	ga_ls7e_ard_3-1-0_096075_2019-09-13_final
2019-09-29 09:39:03	ga_ls7e_ard_3-1-0_096075_2019-09-29_final
2019-10-15 09:38:24	ga_ls7e_ard_3-1-0_096075_2019-10-15_final
2019-10-31 09:37:42	ga_ls7e_ard_3-1-0_096075_2019-10-31_final
2019-11-16 09:36:58	ga_ls7e_ard_3-1-0_096075_2019-11-16_final
2019-12-02 09:36:12	ga_ls7e_ard_3-1-0_096075_2019-12-02_final
2019-12-18 09:35:24	ga_ls7e_ard_3-1-0_096075_2019-12-18_final
2020-01-03 09:34:34	ga_ls7e_ard_3-1-0_096075_2020-01-03_final
2020-01-19 09:33:47	ga_ls7e_ard_3-1-0_096075_2020-01-19_final
2020-02-04 09:32:59	ga_ls7e_ard_3-1-0_096075_2020-02-04_final
2020-02-20 09:32:09	ga_ls7e_ard_3-1-0_096075_2020-02-20_final
2020-03-07 09:31:18	ga_ls7e_ard_3-1-0_096075_2020-03-07_final
2020-03-23 09:30:25	ga_ls7e_ard_3-1-0_096075_2020-03-23_final
2020-04-08 09:29:30	ga_ls7e_ard_3-1-0_096075_2020-04-07_final
2020-04-24 09:28:34	ga_ls7e_ard_3-1-0_096075_2020-04-23_final
2020-05-10 09:27:36	ga_ls7e_ard_3-1-0_096075_2020-05-09_final
2020-05-26 09:26:37	ga_ls7e_ard_3-1-0_096075_2020-05-25_final
2020-06-11 09:25:42	ga_ls7e_ard_3-1-0_096075_2020-06-10_final
2020-06-27 09:24:45	ga_ls7e_ard_3-1-0_096075_2020-06-26_final
2020-07-13 09:23:47	ga_ls7e_ard_3-1-0_096075_2020-07-12_final
2020-07-29 09:22:48	ga_ls7e_ard_3-1-0_096075_2020-07-28_final
2020-08-14 09:21:47	ga_ls7e_ard_3-1-0_096075_2020-08-13_final
2020-08-30 09:20:45	ga_ls7e_ard_3-1-0_096075_2020-08-29_final
2020-09-15 09:19:42	ga_ls7e_ard_3-1-0_096075_2020-09-14_final
2020-10-01 09:18:40	ga_ls7e_ard_3-1-0_096075_2020-09-30_final
2020-10-17 09:17:38	ga_ls7e_ard_3-1-0_096075_2020-10-16_final
2020-11-02 09:16:35	ga_ls7e_ard_3-1-0_096075_2020-11-01_final
2020-11-18 09:15:28	ga_ls7e_ard_3-1-0_096075_2020-11-17_final
2020-12-04 09:14:19	ga_ls7e_ard_3-1-0_096075_2020-12-03_final
2021-01-21 09:10:52	ga_ls7e_ard_3-2-0_096075_2021-01-20_final
2021-02-22 09:08:29	ga_ls7e_ard_3-2-0_096075_2021-02-21_final
2021-03-10 09:07:15	ga_ls7e_ard_3-2-0_096075_2021-03-09_final
2021-03-26 09:05:58	ga_ls7e_ard_3-2-0_096075_2021-03-25_final
2021-04-11 09:04:39	ga_ls7e_ard_3-2-0_096075_2021-04-10_final
2021-04-27 09:03:17	ga_ls7e_ard_3-2-0_096075_2021-04-26_final
2021-05-13 09:01:57	ga_ls7e_ard_3-2-0_096075_2021-05-12_final
2021-05-29 09:00:35	ga_ls7e_ard_3-2-0_096075_2021-05-28_final
2021-06-30 08:57:57	ga_ls7e_ard_3-2-0_096075_2021-06-29_final
2021-07-16 08:56:36	ga_ls7e_ard_3-2-0_096075_2021-07-15_final
2021-08-01 08:55:12	ga_ls7e_ard_3-2-0_096075_2021-07-31_final
2021-08-17 08:53:47	ga_ls7e_ard_3-2-0_096075_2021-08-16_final
2021-09-18 08:50:59	ga_ls7e_ard_3-2-0_096075_2021-09-17_final
2021-10-04 08:49:34	ga_ls7e_ard_3-2-0_096075_2021-10-03_final
2021-10-20 08:48:09	ga_ls7e_ard_3-2-0_096075_2021-10-19_final
2021-11-05 08:46:40	ga_ls7e_ard_3-2-0_096075_2021-11-04_final
2021-11-21 08:45:06	ga_ls7e_ard_3-2-1_096075_2021-11-20_final
2021-12-07 08:43:36	ga_ls7e_ard_3-2-1_096075_2021-12-06_final
2021-12-23 08:42:04	ga_ls7e_ard_3-2-1_096075_2021-12-22_final
2022-01-08 08:40:28	ga_ls7e_ard_3-2-1_096075_2022-01-07_final
2022-01-24 08:38:57	ga_ls7e_ard_3-2-1_096075_2022-01-23_final
2022-02-09 08:37:20	ga_ls7e_ard_3-2-1_096075_2022-02-08_final
2022-02-25 08:35:46	ga_ls7e_ard_3-2-1_096075_2022-02-24_final
2022-03-13 08:34:11	ga_ls7e_ard_3-2-1_096075_2022-03-12_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years