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
2014-12-06 11:21:05	ga_ls7e_ard_3-0-0_110081_2014-12-06_final
2014-12-06 11:21:29	ga_ls7e_ard_3-0-0_110082_2014-12-06_final
2014-12-06 11:21:53	ga_ls7e_ard_3-0-0_110083_2014-12-06_final
2014-12-06 11:22:17	ga_ls7e_ard_3-0-0_110084_2014-12-06_final
2015-02-13 11:34:18	ga_ls7e_ard_3-0-0_113067_2015-02-13_final
2015-02-15 11:25:58	ga_ls7e_ard_3-0-0_111077_2015-02-15_final
2015-02-15 11:26:22	ga_ls7e_ard_3-0-0_111078_2015-02-15_final
2015-02-15 11:26:46	ga_ls7e_ard_3-0-0_111079_2015-02-15_final
2015-02-15 11:27:10	ga_ls7e_ard_3-0-0_111080_2015-02-15_final
2015-02-15 11:27:34	ga_ls7e_ard_3-0-0_111081_2015-02-15_final
2015-02-15 11:27:58	ga_ls7e_ard_3-1-0_111082_2015-02-15_final
2015-02-17 11:16:26	ga_ls7e_ard_3-0-0_109084_2015-02-17_final
2015-02-22 11:31:04	ga_ls7e_ard_3-0-0_112074_2015-02-22_final
2015-02-22 11:31:27	ga_ls7e_ard_3-0-0_112075_2015-02-22_final
2015-02-22 11:31:51	ga_ls7e_ard_3-0-0_112076_2015-02-22_final
2015-02-22 11:32:15	ga_ls7e_ard_3-0-0_112077_2015-02-22_final
2015-02-22 11:32:39	ga_ls7e_ard_3-0-0_112078_2015-02-22_final
2015-04-09 11:41:00	ga_ls7e_ard_3-0-0_114067_2015-04-09_final
2015-05-20 11:35:07	ga_ls7e_ard_3-0-0_113067_2015-05-20_final
2016-06-11 11:20:15	ga_ls7e_ard_3-0-0_109084_2016-06-11_final
2016-06-16 11:35:37	ga_ls7e_ard_3-0-0_112076_2016-06-16_final
2016-06-16 11:36:01	ga_ls7e_ard_3-0-0_112077_2016-06-16_final
2016-06-18 11:25:15	ga_ls7e_ard_3-0-0_110081_2016-06-18_final
2016-06-18 11:25:39	ga_ls7e_ard_3-0-0_110082_2016-06-18_final
2016-06-18 11:26:03	ga_ls7e_ard_3-0-0_110083_2016-06-18_final
2016-06-18 11:26:27	ga_ls7e_ard_3-0-0_110084_2016-06-18_final
2016-06-30 11:44:24	ga_ls7e_ard_3-0-0_114067_2016-06-30_final
2016-07-02 11:35:38	ga_ls7e_ard_3-0-0_112076_2016-07-02_final
2016-07-02 11:36:02	ga_ls7e_ard_3-0-0_112077_2016-07-02_final
2016-07-04 11:25:40	ga_ls7e_ard_3-0-0_110082_2016-07-04_final
2016-07-04 11:26:04	ga_ls7e_ard_3-0-0_110083_2016-07-04_final
2016-07-04 11:26:27	ga_ls7e_ard_3-0-0_110084_2016-07-04_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
2016-08-28 11:29:57	ga_ls7e_ard_3-0-0_111077_2016-08-28_final
2016-08-28 11:30:21	ga_ls7e_ard_3-0-0_111078_2016-08-28_final
2016-08-28 11:30:45	ga_ls7e_ard_3-0-0_111079_2016-08-28_final
2016-08-28 11:31:09	ga_ls7e_ard_3-0-0_111080_2016-08-28_final
2016-09-02 11:44:31	ga_ls7e_ard_3-0-0_114067_2016-09-02_final
2016-09-29 11:30:02	ga_ls7e_ard_3-0-0_111077_2016-09-29_final
2016-09-29 11:30:26	ga_ls7e_ard_3-0-0_111078_2016-09-29_final
2016-09-29 11:30:50	ga_ls7e_ard_3-0-0_111079_2016-09-29_final
2016-09-29 11:31:14	ga_ls7e_ard_3-0-0_111080_2016-09-29_final
2016-09-29 11:31:38	ga_ls7e_ard_3-0-0_111081_2016-09-29_final
2016-09-29 11:32:02	ga_ls7e_ard_3-1-0_111082_2016-09-29_final
2016-10-01 11:20:28	ga_ls7e_ard_3-0-0_109084_2016-10-01_final
2016-12-04 11:20:13	ga_ls7e_ard_3-0-0_109084_2016-12-04_final
2018-04-05 11:23:36	ga_ls7e_ard_3-0-0_110081_2018-04-05_final
2018-04-05 11:24:00	ga_ls7e_ard_3-0-0_110082_2018-04-05_final
2018-06-15 11:26:59	ga_ls7e_ard_3-0-0_111077_2018-06-15_final
2018-06-15 11:27:23	ga_ls7e_ard_3-0-0_111078_2018-06-15_final
2018-06-15 11:27:47	ga_ls7e_ard_3-0-0_111079_2018-06-15_final
2018-06-15 11:28:11	ga_ls7e_ard_3-0-0_111080_2018-06-15_final
2018-06-15 11:28:35	ga_ls7e_ard_3-0-0_111081_2018-06-15_final
2018-06-15 11:28:59	ga_ls7e_ard_3-1-0_111082_2018-06-15_final
2019-01-09 11:22:16	ga_ls7e_ard_3-0-0_111077_2019-01-09_final
2019-01-09 11:22:40	ga_ls7e_ard_3-0-0_111078_2019-01-09_final
2019-01-09 11:23:04	ga_ls7e_ard_3-0-0_111079_2019-01-09_final
2019-01-09 11:23:28	ga_ls7e_ard_3-0-0_111080_2019-01-09_final
2019-01-09 11:23:52	ga_ls7e_ard_3-0-0_111081_2019-01-09_final
2019-01-09 11:24:16	ga_ls7e_ard_3-1-0_111082_2019-01-09_final
2019-01-09 11:24:40	ga_ls7e_ard_3-0-0_111083_2019-01-09_final
2019-02-03 11:16:53	ga_ls7e_ard_3-0-0_110081_2019-02-03_final
2019-02-03 11:17:17	ga_ls7e_ard_3-0-0_110082_2019-02-03_final
2019-02-03 11:17:41	ga_ls7e_ard_3-0-0_110083_2019-02-03_final
2019-06-07 11:31:44	ga_ls7e_ard_3-0-0_114067_2019-06-07_final
2019-07-04 11:16:11	ga_ls7e_ard_3-0-0_111077_2019-07-04_final
2019-07-04 11:16:35	ga_ls7e_ard_3-0-0_111078_2019-07-04_final
2019-07-04 11:16:59	ga_ls7e_ard_3-0-0_111079_2019-07-04_final
2019-07-04 11:17:23	ga_ls7e_ard_3-0-0_111080_2019-07-04_final
2019-07-04 11:17:47	ga_ls7e_ard_3-0-0_111081_2019-07-04_final
2019-07-04 11:18:11	ga_ls7e_ard_3-1-0_111082_2019-07-04_final
2019-08-14 11:09:58	ga_ls7e_ard_3-0-0_110081_2019-08-14_final
2019-08-14 11:10:45	ga_ls7e_ard_3-0-0_110083_2019-08-14_final
2019-08-14 11:11:09	ga_ls7e_ard_3-0-0_110084_2019-08-14_final
2019-09-15 11:08:35	ga_ls7e_ard_3-1-0_110081_2019-09-15_final
2019-09-15 11:08:59	ga_ls7e_ard_3-1-0_110082_2019-09-15_final
2019-09-15 11:09:47	ga_ls7e_ard_3-1-0_110084_2019-09-15_final
2019-10-13 11:26:32	ga_ls7e_ard_3-1-0_114067_2019-10-13_final
2019-12-09 11:17:44	ga_ls7e_ard_3-1-0_113067_2019-12-09_final
2019-12-09 11:20:31	ga_ls7e_ard_3-1-0_113074_2019-12-09_final
2019-12-18 11:13:53	ga_ls7e_ard_3-1-0_112074_2019-12-18_final
2019-12-18 11:14:17	ga_ls7e_ard_3-1-0_112075_2019-12-18_final
2019-12-18 11:14:41	ga_ls7e_ard_3-1-0_112076_2019-12-18_final
2019-12-18 11:15:05	ga_ls7e_ard_3-1-0_112077_2019-12-18_final
2019-12-18 11:15:29	ga_ls7e_ard_3-1-0_112078_2019-12-18_final
2019-12-20 11:04:13	ga_ls7e_ard_3-1-0_110081_2019-12-20_final
2019-12-20 11:04:37	ga_ls7e_ard_3-1-0_110082_2019-12-20_final
2019-12-20 11:05:01	ga_ls7e_ard_3-1-0_110083_2019-12-20_final
2019-12-20 11:05:25	ga_ls7e_ard_3-1-0_110084_2019-12-20_final
2020-01-10 11:18:53	ga_ls7e_ard_3-1-0_113074_2020-01-10_final
2020-02-11 11:14:29	ga_ls7e_ard_3-1-0_113067_2020-02-11_final
2020-02-11 11:17:17	ga_ls7e_ard_3-1-0_113074_2020-02-11_final
2020-02-13 11:06:01	ga_ls7e_ard_3-1-0_111077_2020-02-13_final
2020-02-13 11:06:25	ga_ls7e_ard_3-1-0_111078_2020-02-13_final
2020-02-13 11:06:49	ga_ls7e_ard_3-1-0_111079_2020-02-13_final
2020-02-13 11:07:13	ga_ls7e_ard_3-1-0_111080_2020-02-13_final
2020-02-13 11:07:36	ga_ls7e_ard_3-1-0_111081_2020-02-13_final
2020-02-13 11:08:00	ga_ls7e_ard_3-1-0_111082_2020-02-13_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