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
2007-09-19 11:25:27	ga_ls7e_ard_3-0-0_113067_2007-09-19_final
2008-02-14 11:08:00	ga_ls7e_ard_3-0-0_109084_2008-02-14_final
2008-02-17 11:32:06	ga_ls7e_ard_3-0-0_114067_2008-02-17_final
2009-04-26 11:22:39	ga_ls7e_ard_3-0-0_112074_2009-04-26_final
2009-04-26 11:23:03	ga_ls7e_ard_3-0-0_112075_2009-04-26_final
2009-04-26 11:23:27	ga_ls7e_ard_3-0-0_112076_2009-04-26_final
2009-04-26 11:23:51	ga_ls7e_ard_3-1-0_112077_2009-04-26_final
2009-04-26 11:24:15	ga_ls7e_ard_3-0-0_112078_2009-04-26_final
2009-06-04 11:26:06	ga_ls7e_ard_3-0-0_113067_2009-06-04_final
2009-07-17 11:13:01	ga_ls7e_ard_3-0-0_110081_2009-07-17_final
2009-07-17 11:13:49	ga_ls7e_ard_3-0-0_110083_2009-07-17_final
2009-07-17 11:14:13	ga_ls7e_ard_3-0-0_110084_2009-07-17_final
2009-07-31 11:22:30	ga_ls7e_ard_3-0-0_112074_2009-07-31_final
2009-07-31 11:22:54	ga_ls7e_ard_3-0-0_112075_2009-07-31_final
2009-07-31 11:23:18	ga_ls7e_ard_3-0-0_112076_2009-07-31_final
2009-07-31 11:23:42	ga_ls7e_ard_3-1-0_112077_2009-07-31_final
2009-07-31 11:24:06	ga_ls7e_ard_3-0-0_112078_2009-07-31_final
2009-08-23 11:25:50	ga_ls7e_ard_3-0-0_113067_2009-08-23_final
2009-08-25 11:17:27	ga_ls7e_ard_3-0-0_111077_2009-08-25_final
2009-08-25 11:17:51	ga_ls7e_ard_3-0-0_111078_2009-08-25_final
2009-08-25 11:18:15	ga_ls7e_ard_3-0-0_111079_2009-08-25_final
2009-08-25 11:18:39	ga_ls7e_ard_3-0-0_111080_2009-08-25_final
2009-08-25 11:19:03	ga_ls7e_ard_3-0-0_111081_2009-08-25_final
2009-11-11 11:26:13	ga_ls7e_ard_3-0-0_113067_2009-11-11_final
2009-11-13 11:17:52	ga_ls7e_ard_3-0-0_111077_2009-11-13_final
2009-11-13 11:18:16	ga_ls7e_ard_3-0-0_111078_2009-11-13_final
2009-11-13 11:18:40	ga_ls7e_ard_3-0-0_111079_2009-11-13_final
2009-11-13 11:19:04	ga_ls7e_ard_3-0-0_111080_2009-11-13_final
2009-11-13 11:19:28	ga_ls7e_ard_3-0-0_111081_2009-11-13_final
2009-11-13 11:19:52	ga_ls7e_ard_3-1-0_111082_2009-11-13_final
2009-11-15 11:08:19	ga_ls7e_ard_3-0-0_109084_2009-11-15_final
2017-02-27 11:34:20	ga_ls7e_ard_3-0-0_112074_2017-02-27_final
2017-02-27 11:34:44	ga_ls7e_ard_3-0-0_112075_2017-02-27_final
2017-02-27 11:35:08	ga_ls7e_ard_3-0-0_112076_2017-02-27_final
2017-02-27 11:35:32	ga_ls7e_ard_3-0-0_112077_2017-02-27_final
2017-02-27 11:35:56	ga_ls7e_ard_3-0-0_112078_2017-02-27_final
2017-03-01 11:24:47	ga_ls7e_ard_3-0-0_110081_2017-03-01_final
2017-03-01 11:25:11	ga_ls7e_ard_3-0-0_110082_2017-03-01_final
2017-03-01 11:25:35	ga_ls7e_ard_3-0-0_110083_2017-03-01_final
2017-03-01 11:25:59	ga_ls7e_ard_3-0-0_110084_2017-03-01_final
2017-05-04 11:25:09	ga_ls7e_ard_3-0-0_110081_2017-05-04_final
2017-05-04 11:25:33	ga_ls7e_ard_3-0-0_110082_2017-05-04_final
2017-05-04 11:25:57	ga_ls7e_ard_3-0-0_110083_2017-05-04_final
2017-05-04 11:26:21	ga_ls7e_ard_3-0-0_110084_2017-05-04_final
2017-05-09 11:38:07	ga_ls7e_ard_3-0-0_113067_2017-05-09_final
2017-05-25 11:38:10	ga_ls7e_ard_3-0-0_113067_2017-05-25_final
2017-05-27 11:29:49	ga_ls7e_ard_3-0-0_111077_2017-05-27_final
2017-05-27 11:30:12	ga_ls7e_ard_3-0-0_111078_2017-05-27_final
2017-05-27 11:30:36	ga_ls7e_ard_3-0-0_111079_2017-05-27_final
2017-05-27 11:31:00	ga_ls7e_ard_3-0-0_111080_2017-05-27_final
2017-05-27 11:31:24	ga_ls7e_ard_3-0-0_111081_2017-05-27_final
2017-05-27 11:31:48	ga_ls7e_ard_3-1-0_111082_2017-05-27_final
2017-08-22 11:34:53	ga_ls7e_ard_3-0-0_112074_2017-08-22_final
2017-08-22 11:35:17	ga_ls7e_ard_3-0-0_112075_2017-08-22_final
2017-08-22 11:35:40	ga_ls7e_ard_3-0-0_112076_2017-08-22_final
2017-08-22 11:36:04	ga_ls7e_ard_3-0-0_112077_2017-08-22_final
2017-08-24 11:25:19	ga_ls7e_ard_3-0-0_110081_2017-08-24_final
2017-08-24 11:25:43	ga_ls7e_ard_3-0-0_110082_2017-08-24_final
2017-08-24 11:26:07	ga_ls7e_ard_3-0-0_110083_2017-08-24_final
2017-08-24 11:26:30	ga_ls7e_ard_3-0-0_110084_2017-08-24_final
2017-09-16 11:29:52	ga_ls7e_ard_3-0-0_111077_2017-09-16_final
2017-09-16 11:30:16	ga_ls7e_ard_3-0-0_111078_2017-09-16_final
2017-09-16 11:30:39	ga_ls7e_ard_3-0-0_111079_2017-09-16_final
2017-09-16 11:31:03	ga_ls7e_ard_3-0-0_111080_2017-09-16_final
2017-09-16 11:31:27	ga_ls7e_ard_3-0-0_111081_2017-09-16_final
2017-09-16 11:31:51	ga_ls7e_ard_3-1-0_111082_2017-09-16_final
2019-10-22 11:22:45	ga_ls7e_ard_3-1-0_113074_2019-10-22_final
2019-10-24 11:11:30	ga_ls7e_ard_3-1-0_111077_2019-10-24_final
2019-10-24 11:11:54	ga_ls7e_ard_3-1-0_111078_2019-10-24_final
2019-10-24 11:12:18	ga_ls7e_ard_3-1-0_111079_2019-10-24_final
2019-10-24 11:12:42	ga_ls7e_ard_3-1-0_111080_2019-10-24_final
2019-10-24 11:13:06	ga_ls7e_ard_3-1-0_111081_2019-10-24_final
2019-10-24 11:13:30	ga_ls7e_ard_3-1-0_111082_2019-10-24_final
2019-10-24 11:13:54	ga_ls7e_ard_3-1-0_111083_2019-10-24_final
2019-12-11 11:09:39	ga_ls7e_ard_3-1-0_111078_2019-12-11_final
2019-12-11 11:10:03	ga_ls7e_ard_3-1-0_111079_2019-12-11_final
2019-12-11 11:10:27	ga_ls7e_ard_3-1-0_111080_2019-12-11_final
2019-12-11 11:10:51	ga_ls7e_ard_3-1-0_111081_2019-12-11_final
2019-12-11 11:11:15	ga_ls7e_ard_3-1-0_111082_2019-12-11_final
2019-12-11 11:11:39	ga_ls7e_ard_3-1-0_111083_2019-12-11_final
2020-04-01 11:03:24	ga_ls7e_ard_3-1-0_111077_2020-04-01_final
2020-04-01 11:03:48	ga_ls7e_ard_3-1-0_111078_2020-04-01_final
2020-04-01 11:04:12	ga_ls7e_ard_3-1-0_111079_2020-04-01_final
2020-04-01 11:04:36	ga_ls7e_ard_3-1-0_111080_2020-04-01_final
2020-04-01 11:05:00	ga_ls7e_ard_3-1-0_111081_2020-04-01_final
2020-04-01 11:05:24	ga_ls7e_ard_3-1-0_111082_2020-04-01_final
2020-04-01 11:05:48	ga_ls7e_ard_3-1-0_111083_2020-04-01_final
2020-05-19 11:00:33	ga_ls7e_ard_3-1-0_111077_2020-05-19_final
2020-05-19 11:00:57	ga_ls7e_ard_3-1-0_111078_2020-05-19_final
2020-05-19 11:01:21	ga_ls7e_ard_3-1-0_111079_2020-05-19_final
2020-05-19 11:01:45	ga_ls7e_ard_3-1-0_111080_2020-05-19_final
2020-05-19 11:02:09	ga_ls7e_ard_3-1-0_111081_2020-05-19_final
2020-05-19 11:02:33	ga_ls7e_ard_3-1-0_111082_2020-05-19_final
2020-05-19 11:02:57	ga_ls7e_ard_3-1-0_111083_2020-05-19_final
2020-06-20 10:58:40	ga_ls7e_ard_3-1-0_111077_2020-06-20_final
2020-06-20 10:59:04	ga_ls7e_ard_3-1-0_111078_2020-06-20_final
2020-06-20 10:59:28	ga_ls7e_ard_3-1-0_111079_2020-06-20_final
2020-06-20 10:59:52	ga_ls7e_ard_3-1-0_111080_2020-06-20_final
2020-06-20 11:00:16	ga_ls7e_ard_3-1-0_111081_2020-06-20_final
2020-06-20 11:00:40	ga_ls7e_ard_3-1-0_111082_2020-06-20_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