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
2009-02-12 11:25:32	ga_ls7e_ard_3-0-0_113067_2009-02-12_final
2009-02-14 11:17:11	ga_ls7e_ard_3-0-0_111077_2009-02-14_final
2009-02-14 11:17:35	ga_ls7e_ard_3-0-0_111078_2009-02-14_final
2009-02-14 11:17:58	ga_ls7e_ard_3-0-0_111079_2009-02-14_final
2009-02-14 11:18:22	ga_ls7e_ard_3-0-0_111080_2009-02-14_final
2009-02-14 11:18:46	ga_ls7e_ard_3-0-0_111081_2009-02-14_final
2009-02-14 11:19:10	ga_ls7e_ard_3-1-0_111082_2009-02-14_final
2009-03-23 11:32:03	ga_ls7e_ard_3-0-0_114067_2009-03-23_final
2009-03-25 11:22:29	ga_ls7e_ard_3-1-0_112074_2009-03-25_final
2009-03-25 11:22:53	ga_ls7e_ard_3-0-0_112075_2009-03-25_final
2009-03-25 11:23:17	ga_ls7e_ard_3-0-0_112076_2009-03-25_final
2009-03-25 11:23:41	ga_ls7e_ard_3-0-0_112077_2009-03-25_final
2009-03-25 11:24:05	ga_ls7e_ard_3-0-0_112078_2009-03-25_final
2009-04-17 11:26:00	ga_ls7e_ard_3-0-0_113067_2009-04-17_final
2009-04-24 11:32:13	ga_ls7e_ard_3-0-0_114067_2009-04-24_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
2009-05-07 11:08:08	ga_ls7e_ard_3-0-0_109084_2009-05-07_final
2009-05-26 11:32:17	ga_ls7e_ard_3-0-0_114067_2009-05-26_final
2011-03-08 11:20:50	ga_ls7e_ard_3-0-0_111077_2011-03-08_final
2011-03-08 11:21:14	ga_ls7e_ard_3-0-0_111078_2011-03-08_final
2011-03-08 11:21:38	ga_ls7e_ard_3-0-0_111079_2011-03-08_final
2011-03-08 11:22:02	ga_ls7e_ard_3-0-0_111080_2011-03-08_final
2011-03-10 11:11:16	ga_ls7e_ard_3-0-0_109084_2011-03-10_final
2011-06-17 11:35:25	ga_ls7e_ard_3-0-0_114067_2011-06-17_final
2011-08-31 11:20:39	ga_ls7e_ard_3-0-0_111077_2011-08-31_final
2011-08-31 11:21:03	ga_ls7e_ard_3-0-0_111078_2011-08-31_final
2011-08-31 11:21:27	ga_ls7e_ard_3-0-0_111079_2011-08-31_final
2011-08-31 11:21:51	ga_ls7e_ard_3-0-0_111080_2011-08-31_final
2011-08-31 11:22:15	ga_ls7e_ard_3-0-0_111081_2011-08-31_final
2011-08-31 11:22:39	ga_ls7e_ard_3-1-0_111082_2011-08-31_final
2015-10-18 11:42:05	ga_ls7e_ard_3-0-0_114067_2015-10-18_final
2015-10-20 11:32:33	ga_ls7e_ard_3-0-0_112074_2015-10-20_final
2015-10-20 11:32:57	ga_ls7e_ard_3-0-0_112075_2015-10-20_final
2015-10-20 11:33:21	ga_ls7e_ard_3-0-0_112076_2015-10-20_final
2015-10-20 11:33:45	ga_ls7e_ard_3-0-0_112077_2015-10-20_final
2015-10-20 11:34:09	ga_ls7e_ard_3-0-0_112078_2015-10-20_final
2016-02-23 11:43:42	ga_ls7e_ard_3-0-0_114067_2016-02-23_final
2016-02-25 11:34:09	ga_ls7e_ard_3-0-0_112074_2016-02-25_final
2016-02-25 11:34:33	ga_ls7e_ard_3-0-0_112075_2016-02-25_final
2016-02-25 11:34:57	ga_ls7e_ard_3-0-0_112076_2016-02-25_final
2016-02-25 11:35:21	ga_ls7e_ard_3-1-0_112077_2016-02-25_final
2016-02-25 11:35:45	ga_ls7e_ard_3-0-0_112078_2016-02-25_final
2016-03-19 11:37:46	ga_ls7e_ard_3-0-0_113067_2016-03-19_final
2016-03-21 11:29:25	ga_ls7e_ard_3-0-0_111077_2016-03-21_final
2016-03-21 11:29:48	ga_ls7e_ard_3-0-0_111078_2016-03-21_final
2016-03-21 11:30:12	ga_ls7e_ard_3-0-0_111079_2016-03-21_final
2016-03-21 11:30:36	ga_ls7e_ard_3-0-0_111080_2016-03-21_final
2016-03-21 11:31:00	ga_ls7e_ard_3-0-0_111081_2016-03-21_final
2016-03-21 11:31:24	ga_ls7e_ard_3-1-0_111082_2016-03-21_final
2016-05-06 11:38:02	ga_ls7e_ard_3-0-0_113067_2016-05-06_final
2016-05-08 11:29:40	ga_ls7e_ard_3-0-0_111077_2016-05-08_final
2016-05-08 11:30:04	ga_ls7e_ard_3-0-0_111078_2016-05-08_final
2016-05-08 11:30:28	ga_ls7e_ard_3-0-0_111079_2016-05-08_final
2016-05-08 11:30:52	ga_ls7e_ard_3-0-0_111080_2016-05-08_final
2016-05-08 11:31:16	ga_ls7e_ard_3-0-0_111081_2016-05-08_final
2016-05-08 11:31:40	ga_ls7e_ard_3-1-0_111082_2016-05-08_final
2016-05-10 11:20:07	ga_ls7e_ard_3-0-0_109084_2016-05-10_final
2016-07-18 11:34:50	ga_ls7e_ard_3-0-0_112074_2016-07-18_final
2016-07-18 11:35:14	ga_ls7e_ard_3-0-0_112075_2016-07-18_final
2016-07-18 11:35:38	ga_ls7e_ard_3-0-0_112076_2016-07-18_final
2016-07-20 11:25:41	ga_ls7e_ard_3-0-0_110082_2016-07-20_final
2016-07-20 11:26:05	ga_ls7e_ard_3-0-0_110083_2016-07-20_final
2016-07-20 11:26:29	ga_ls7e_ard_3-0-0_110084_2016-07-20_final
2017-01-05 11:19:58	ga_ls7e_ard_3-0-0_109084_2017-01-05_final
2017-01-10 11:34:28	ga_ls7e_ard_3-0-0_112074_2017-01-10_final
2017-01-10 11:34:52	ga_ls7e_ard_3-0-0_112075_2017-01-10_final
2017-01-10 11:35:16	ga_ls7e_ard_3-0-0_112076_2017-01-10_final
2017-01-10 11:35:40	ga_ls7e_ard_3-0-0_112077_2017-01-10_final
2017-01-12 11:24:53	ga_ls7e_ard_3-0-0_110081_2017-01-12_final
2017-01-12 11:25:17	ga_ls7e_ard_3-0-0_110082_2017-01-12_final
2017-01-12 11:25:41	ga_ls7e_ard_3-0-0_110083_2017-01-12_final
2017-01-12 11:26:05	ga_ls7e_ard_3-0-0_110084_2017-01-12_final
2018-02-05 11:37:17	ga_ls7e_ard_3-0-0_113067_2018-02-05_final
2018-02-07 11:28:52	ga_ls7e_ard_3-0-0_111077_2018-02-07_final
2018-02-07 11:29:16	ga_ls7e_ard_3-0-0_111078_2018-02-07_final
2018-02-07 11:29:40	ga_ls7e_ard_3-0-0_111079_2018-02-07_final
2018-02-07 11:30:04	ga_ls7e_ard_3-0-0_111080_2018-02-07_final
2018-02-07 11:30:28	ga_ls7e_ard_3-0-0_111081_2018-02-07_final
2018-02-16 11:24:12	ga_ls7e_ard_3-0-0_110081_2018-02-16_final
2018-02-16 11:24:36	ga_ls7e_ard_3-0-0_110082_2018-02-16_final
2018-02-16 11:25:00	ga_ls7e_ard_3-0-0_110083_2018-02-16_final
2018-02-16 11:25:24	ga_ls7e_ard_3-0-0_110084_2018-02-16_final
2018-02-21 11:37:07	ga_ls7e_ard_3-0-0_113067_2018-02-21_final
2018-04-10 11:36:29	ga_ls7e_ard_3-0-0_113067_2018-04-10_final
2018-05-30 11:27:16	ga_ls7e_ard_3-0-0_111077_2018-05-30_final
2018-05-30 11:27:40	ga_ls7e_ard_3-0-0_111078_2018-05-30_final
2018-05-30 11:28:04	ga_ls7e_ard_3-0-0_111079_2018-05-30_final
2018-05-30 11:28:28	ga_ls7e_ard_3-0-0_111080_2018-05-30_final
2018-05-30 11:28:52	ga_ls7e_ard_3-0-0_111081_2018-05-30_final
2018-05-30 11:29:16	ga_ls7e_ard_3-1-0_111082_2018-05-30_final
2018-10-19 11:32:46	ga_ls7e_ard_3-0-0_113067_2018-10-19_final
2019-05-06 11:32:56	ga_ls7e_ard_3-0-0_114067_2019-05-06_final
2019-05-08 11:23:17	ga_ls7e_ard_3-0-0_112074_2019-05-08_final
2019-05-08 11:23:41	ga_ls7e_ard_3-0-0_112075_2019-05-08_final
2019-05-08 11:24:05	ga_ls7e_ard_3-0-0_112076_2019-05-08_final
2019-05-08 11:24:29	ga_ls7e_ard_3-0-0_112077_2019-05-08_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