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
2005-05-24 11:28:26	ga_ls7e_ard_3-0-0_113075_2005-05-24_final
2005-05-24 11:29:14	ga_ls7e_ard_3-0-0_113077_2005-05-24_final
2005-07-27 11:27:51	ga_ls7e_ard_3-0-0_113074_2005-07-27_final
2005-07-27 11:28:15	ga_ls7e_ard_3-0-0_113075_2005-07-27_final
2005-07-27 11:28:39	ga_ls7e_ard_3-0-0_113076_2005-07-27_final
2005-07-27 11:29:03	ga_ls7e_ard_3-0-0_113077_2005-07-27_final
2005-08-28 11:27:41	ga_ls7e_ard_3-0-0_113074_2005-08-28_final
2005-08-28 11:28:05	ga_ls7e_ard_3-0-0_113075_2005-08-28_final
2005-08-28 11:28:29	ga_ls7e_ard_3-0-0_113076_2005-08-28_final
2005-08-28 11:28:53	ga_ls7e_ard_3-0-0_113077_2005-08-28_final
2005-10-15 11:28:46	ga_ls7e_ard_3-0-0_113077_2005-10-15_final
2008-05-23 11:31:46	ga_ls7e_ard_3-0-0_114067_2008-05-23_final
2008-06-19 11:18:11	ga_ls7e_ard_3-0-0_111080_2008-06-19_final
2008-06-19 11:18:35	ga_ls7e_ard_3-0-0_111081_2008-06-19_final
2008-06-19 11:18:59	ga_ls7e_ard_3-1-0_111082_2008-06-19_final
2008-06-19 11:19:23	ga_ls7e_ard_3-0-0_111083_2008-06-19_final
2008-06-19 11:19:47	ga_ls7e_ard_3-0-0_111084_2008-06-19_final
2008-06-26 11:22:41	ga_ls7e_ard_3-0-0_112076_2008-06-26_final
2008-06-26 11:23:05	ga_ls7e_ard_3-1-0_112077_2008-06-26_final
2008-06-26 11:24:17	ga_ls7e_ard_3-0-0_112080_2008-06-26_final
2008-06-26 11:24:41	ga_ls7e_ard_3-0-0_112081_2008-06-26_final
2008-07-19 11:27:48	ga_ls7e_ard_3-0-0_113074_2008-07-19_final
2008-07-19 11:28:11	ga_ls7e_ard_3-0-0_113075_2008-07-19_final
2008-07-19 11:28:35	ga_ls7e_ard_3-0-0_113076_2008-07-19_final
2008-07-19 11:28:59	ga_ls7e_ard_3-0-0_113077_2008-07-19_final
2008-07-19 11:29:23	ga_ls7e_ard_3-0-0_113078_2008-07-19_final
2008-07-21 11:17:48	ga_ls7e_ard_3-0-0_111080_2008-07-21_final
2008-07-21 11:18:12	ga_ls7e_ard_3-0-0_111081_2008-07-21_final
2008-07-21 11:19:00	ga_ls7e_ard_3-0-0_111083_2008-07-21_final
2008-07-21 11:19:24	ga_ls7e_ard_3-0-0_111084_2008-07-21_final
2008-08-06 11:17:42	ga_ls7e_ard_3-0-0_111080_2008-08-06_final
2008-08-06 11:18:06	ga_ls7e_ard_3-0-0_111081_2008-08-06_final
2008-08-06 11:18:30	ga_ls7e_ard_3-1-0_111082_2008-08-06_final
2008-11-26 11:17:46	ga_ls7e_ard_3-0-0_111080_2008-11-26_final
2008-11-26 11:18:10	ga_ls7e_ard_3-0-0_111081_2008-11-26_final
2008-11-26 11:18:34	ga_ls7e_ard_3-1-0_111082_2008-11-26_final
2008-11-26 11:18:58	ga_ls7e_ard_3-0-0_111083_2008-11-26_final
2008-11-26 11:19:22	ga_ls7e_ard_3-0-0_111084_2008-11-26_final
2018-01-04 11:40:34	ga_ls7e_ard_3-0-0_113074_2018-01-04_final
2018-01-04 11:40:58	ga_ls7e_ard_3-0-0_113075_2018-01-04_final
2018-01-04 11:41:22	ga_ls7e_ard_3-0-0_113076_2018-01-04_final
2018-01-04 11:41:46	ga_ls7e_ard_3-0-0_113077_2018-01-04_final
2018-01-13 11:36:15	ga_ls7e_ard_3-0-0_112079_2018-01-13_final
2018-01-13 11:36:39	ga_ls7e_ard_3-0-0_112080_2018-01-13_final
2018-01-13 11:37:03	ga_ls7e_ard_3-0-0_112081_2018-01-13_final
2018-01-13 11:37:27	ga_ls7e_ard_3-0-0_112082_2018-01-13_final
2018-01-20 11:40:20	ga_ls7e_ard_3-0-0_113074_2018-01-20_final
2018-01-20 11:40:44	ga_ls7e_ard_3-0-0_113075_2018-01-20_final
2018-01-20 11:41:08	ga_ls7e_ard_3-0-0_113076_2018-01-20_final
2018-01-20 11:41:32	ga_ls7e_ard_3-0-0_113077_2018-01-20_final
2018-01-20 11:41:56	ga_ls7e_ard_3-0-0_113078_2018-01-20_final
2018-01-22 11:30:20	ga_ls7e_ard_3-0-0_111080_2018-01-22_final
2018-01-22 11:30:44	ga_ls7e_ard_3-0-0_111081_2018-01-22_final
2018-01-22 11:31:08	ga_ls7e_ard_3-1-0_111082_2018-01-22_final
2018-01-22 11:31:32	ga_ls7e_ard_3-0-0_111083_2018-01-22_final
2018-01-22 11:31:56	ga_ls7e_ard_3-0-0_111084_2018-01-22_final
2018-02-28 11:43:13	ga_ls7e_ard_3-0-0_114067_2018-02-28_final
2018-03-02 11:34:26	ga_ls7e_ard_3-0-0_112076_2018-03-02_final
2018-03-02 11:34:49	ga_ls7e_ard_3-0-0_112077_2018-03-02_final
2018-03-02 11:35:13	ga_ls7e_ard_3-0-0_112078_2018-03-02_final
2018-03-02 11:35:37	ga_ls7e_ard_3-0-0_112079_2018-03-02_final
2018-03-02 11:36:01	ga_ls7e_ard_3-0-0_112080_2018-03-02_final
2018-03-02 11:36:25	ga_ls7e_ard_3-0-0_112081_2018-03-02_final
2018-03-02 11:36:49	ga_ls7e_ard_3-0-0_112082_2018-03-02_final
2018-03-04 11:25:14	ga_ls7e_ard_3-0-0_110084_2018-03-04_final
2018-03-09 11:39:44	ga_ls7e_ard_3-0-0_113074_2018-03-09_final
2018-03-09 11:40:07	ga_ls7e_ard_3-0-0_113075_2018-03-09_final
2018-03-09 11:40:31	ga_ls7e_ard_3-0-0_113076_2018-03-09_final
2018-03-09 11:40:55	ga_ls7e_ard_3-0-0_113077_2018-03-09_final
2018-03-09 11:41:19	ga_ls7e_ard_3-0-0_113078_2018-03-09_final
2018-03-25 11:39:31	ga_ls7e_ard_3-0-0_113074_2018-03-25_final
2018-03-25 11:39:55	ga_ls7e_ard_3-0-0_113075_2018-03-25_final
2018-03-25 11:40:19	ga_ls7e_ard_3-0-0_113076_2018-03-25_final
2018-03-25 11:40:43	ga_ls7e_ard_3-0-0_113077_2018-03-25_final
2018-03-25 11:41:07	ga_ls7e_ard_3-0-0_113078_2018-03-25_final
2018-03-27 11:29:31	ga_ls7e_ard_3-0-0_111080_2018-03-27_final
2018-04-26 11:39:00	ga_ls7e_ard_3-0-0_113074_2018-04-26_final
2018-04-26 11:39:24	ga_ls7e_ard_3-0-0_113075_2018-04-26_final
2018-04-26 11:39:48	ga_ls7e_ard_3-0-0_113076_2018-04-26_final
2018-04-26 11:40:12	ga_ls7e_ard_3-0-0_113077_2018-04-26_final
2018-04-26 11:40:36	ga_ls7e_ard_3-0-0_113078_2018-04-26_final
2018-06-22 11:32:38	ga_ls7e_ard_3-0-0_112076_2018-06-22_final
2018-06-22 11:33:02	ga_ls7e_ard_3-0-0_112077_2018-06-22_final
2018-06-22 11:33:26	ga_ls7e_ard_3-0-0_112078_2018-06-22_final
2018-06-22 11:33:50	ga_ls7e_ard_3-0-0_112079_2018-06-22_final
2018-06-22 11:34:14	ga_ls7e_ard_3-0-0_112080_2018-06-22_final
2018-06-22 11:34:38	ga_ls7e_ard_3-0-0_112081_2018-06-22_final
2018-06-22 11:35:02	ga_ls7e_ard_3-0-0_112082_2018-06-22_final
2018-06-24 11:23:26	ga_ls7e_ard_3-0-0_110084_2018-06-24_final
2018-07-10 11:23:06	ga_ls7e_ard_3-0-0_110084_2018-07-10_final
2018-07-31 11:37:18	ga_ls7e_ard_3-0-0_113074_2018-07-31_final
2018-07-31 11:37:42	ga_ls7e_ard_3-0-0_113075_2018-07-31_final
2018-07-31 11:38:06	ga_ls7e_ard_3-0-0_113076_2018-07-31_final
2018-07-31 11:38:30	ga_ls7e_ard_3-0-0_113077_2018-07-31_final
2018-07-31 11:38:54	ga_ls7e_ard_3-0-0_113078_2018-07-31_final
2018-10-10 11:39:09	ga_ls7e_ard_3-0-0_114067_2018-10-10_final
2018-10-19 11:35:33	ga_ls7e_ard_3-0-0_113074_2018-10-19_final
2018-10-19 11:35:57	ga_ls7e_ard_3-0-0_113075_2018-10-19_final
2018-10-19 11:36:21	ga_ls7e_ard_3-0-0_113076_2018-10-19_final
2018-10-19 11:36:45	ga_ls7e_ard_3-0-0_113077_2018-10-19_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