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
2014-11-25 11:33:57	ga_ls7e_ard_3-0-0_113067_2014-11-25_final
2015-05-11 11:41:14	ga_ls7e_ard_3-0-0_114067_2015-05-11_final
2015-05-13 11:31:41	ga_ls7e_ard_3-0-0_112074_2015-05-13_final
2015-05-13 11:32:05	ga_ls7e_ard_3-0-0_112075_2015-05-13_final
2015-05-13 11:32:29	ga_ls7e_ard_3-0-0_112076_2015-05-13_final
2015-05-13 11:32:53	ga_ls7e_ard_3-0-0_112077_2015-05-13_final
2015-05-13 11:33:17	ga_ls7e_ard_3-0-0_112078_2015-05-13_final
2015-05-22 11:26:44	ga_ls7e_ard_3-0-0_111077_2015-05-22_final
2015-05-22 11:27:08	ga_ls7e_ard_3-0-0_111078_2015-05-22_final
2015-05-22 11:27:32	ga_ls7e_ard_3-0-0_111079_2015-05-22_final
2015-05-22 11:27:56	ga_ls7e_ard_3-0-0_111080_2015-05-22_final
2015-05-22 11:28:20	ga_ls7e_ard_3-0-0_111081_2015-05-22_final
2015-05-22 11:28:44	ga_ls7e_ard_3-1-0_111082_2015-05-22_final
2015-05-24 11:17:10	ga_ls7e_ard_3-0-0_109084_2015-05-24_final
2017-04-25 11:30:05	ga_ls7e_ard_3-0-0_111078_2017-04-25_final
2017-04-25 11:30:29	ga_ls7e_ard_3-0-0_111079_2017-04-25_final
2017-04-25 11:30:53	ga_ls7e_ard_3-0-0_111080_2017-04-25_final
2017-04-27 11:20:08	ga_ls7e_ard_3-0-0_109084_2017-04-27_final
2017-08-06 11:34:53	ga_ls7e_ard_3-0-0_112074_2017-08-06_final
2017-08-06 11:35:17	ga_ls7e_ard_3-0-0_112075_2017-08-06_final
2017-08-06 11:35:41	ga_ls7e_ard_3-0-0_112076_2017-08-06_final
2017-08-06 11:36:05	ga_ls7e_ard_3-0-0_112077_2017-08-06_final
2017-08-06 11:36:29	ga_ls7e_ard_3-0-0_112078_2017-08-06_final
2017-12-12 11:34:40	ga_ls7e_ard_3-0-0_112074_2017-12-12_final
2017-12-12 11:35:04	ga_ls7e_ard_3-0-0_112075_2017-12-12_final
2017-12-12 11:35:28	ga_ls7e_ard_3-0-0_112076_2017-12-12_final
2017-12-12 11:35:52	ga_ls7e_ard_3-1-0_112077_2017-12-12_final
2017-12-12 11:36:15	ga_ls7e_ard_3-0-0_112078_2017-12-12_final
2018-03-16 11:43:02	ga_ls7e_ard_3-0-0_114067_2018-03-16_final
2018-03-18 11:33:26	ga_ls7e_ard_3-0-0_112074_2018-03-18_final
2018-03-18 11:33:50	ga_ls7e_ard_3-0-0_112075_2018-03-18_final
2018-03-18 11:34:14	ga_ls7e_ard_3-0-0_112076_2018-03-18_final
2018-03-18 11:34:38	ga_ls7e_ard_3-0-0_112077_2018-03-18_final
2018-03-18 11:35:02	ga_ls7e_ard_3-0-0_112078_2018-03-18_final
2018-04-01 11:42:48	ga_ls7e_ard_3-0-0_114067_2018-04-01_final
2018-04-03 11:33:12	ga_ls7e_ard_3-1-0_112074_2018-04-03_final
2018-04-03 11:33:36	ga_ls7e_ard_3-0-0_112075_2018-04-03_final
2018-04-03 11:34:00	ga_ls7e_ard_3-0-0_112076_2018-04-03_final
2018-04-03 11:34:24	ga_ls7e_ard_3-0-0_112077_2018-04-03_final
2018-04-03 11:34:48	ga_ls7e_ard_3-0-0_112078_2018-04-03_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
2018-05-19 11:42:00	ga_ls7e_ard_3-0-0_114067_2018-05-19_final
2018-05-21 11:32:24	ga_ls7e_ard_3-0-0_112074_2018-05-21_final
2018-05-21 11:32:48	ga_ls7e_ard_3-0-0_112075_2018-05-21_final
2018-05-21 11:33:12	ga_ls7e_ard_3-0-0_112076_2018-05-21_final
2018-05-21 11:33:36	ga_ls7e_ard_3-0-0_112077_2018-05-21_final
2018-05-21 11:34:00	ga_ls7e_ard_3-0-0_112078_2018-05-21_final
2018-05-23 11:22:48	ga_ls7e_ard_3-0-0_110081_2018-05-23_final
2018-05-23 11:23:12	ga_ls7e_ard_3-0-0_110082_2018-05-23_final
2018-05-23 11:23:36	ga_ls7e_ard_3-0-0_110083_2018-05-23_final
2018-05-23 11:24:00	ga_ls7e_ard_3-0-0_110084_2018-05-23_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
2018-06-17 11:17:23	ga_ls7e_ard_3-0-0_109084_2018-06-17_final
2018-06-20 11:41:27	ga_ls7e_ard_3-0-0_114067_2018-06-20_final
2018-08-09 11:30:57	ga_ls7e_ard_3-0-0_112074_2018-08-09_final
2018-08-09 11:31:21	ga_ls7e_ard_3-0-0_112075_2018-08-09_final
2018-08-09 11:31:45	ga_ls7e_ard_3-0-0_112076_2018-08-09_final
2018-08-09 11:32:09	ga_ls7e_ard_3-0-0_112077_2018-08-09_final
2018-08-09 11:32:33	ga_ls7e_ard_3-0-0_112078_2018-08-09_final
2018-08-11 11:21:21	ga_ls7e_ard_3-0-0_110081_2018-08-11_final
2018-08-11 11:21:45	ga_ls7e_ard_3-0-0_110082_2018-08-11_final
2018-08-11 11:22:09	ga_ls7e_ard_3-0-0_110083_2018-08-11_final
2018-08-11 11:22:33	ga_ls7e_ard_3-0-0_110084_2018-08-11_final
2018-08-23 11:40:15	ga_ls7e_ard_3-0-0_114067_2018-08-23_final
2018-09-03 11:25:28	ga_ls7e_ard_3-0-0_111077_2018-09-03_final
2018-09-03 11:25:52	ga_ls7e_ard_3-0-0_111078_2018-09-03_final
2018-09-03 11:26:16	ga_ls7e_ard_3-0-0_111079_2018-09-03_final
2018-09-03 11:26:40	ga_ls7e_ard_3-0-0_111080_2018-09-03_final
2018-09-03 11:27:04	ga_ls7e_ard_3-0-0_111081_2018-09-03_final
2018-09-03 11:27:28	ga_ls7e_ard_3-1-0_111082_2018-09-03_final
2018-09-05 11:15:51	ga_ls7e_ard_3-0-0_109084_2018-09-05_final
2018-09-08 11:39:55	ga_ls7e_ard_3-0-0_114067_2018-09-08_final
2018-11-13 11:28:49	ga_ls7e_ard_3-1-0_112074_2018-11-13_final
2018-11-13 11:29:13	ga_ls7e_ard_3-0-0_112075_2018-11-13_final
2018-11-13 11:29:37	ga_ls7e_ard_3-0-0_112076_2018-11-13_final
2018-11-13 11:30:01	ga_ls7e_ard_3-0-0_112077_2018-11-13_final
2018-11-13 11:30:25	ga_ls7e_ard_3-0-0_112078_2018-11-13_final
2018-11-15 11:19:13	ga_ls7e_ard_3-0-0_110081_2018-11-15_final
2018-11-15 11:19:36	ga_ls7e_ard_3-0-0_110082_2018-11-15_final
2018-11-15 11:20:00	ga_ls7e_ard_3-0-0_110083_2018-11-15_final
2018-11-15 11:20:24	ga_ls7e_ard_3-0-0_110084_2018-11-15_final
2019-02-01 11:26:30	ga_ls7e_ard_3-0-0_112074_2019-02-01_final
2019-02-01 11:26:54	ga_ls7e_ard_3-0-0_112075_2019-02-01_final
2019-02-01 11:27:18	ga_ls7e_ard_3-0-0_112076_2019-02-01_final
2019-02-01 11:27:42	ga_ls7e_ard_3-0-0_112077_2019-02-01_final
2019-02-01 11:28:06	ga_ls7e_ard_3-0-0_112078_2019-02-01_final
2019-05-24 11:22:40	ga_ls7e_ard_3-0-0_112074_2019-05-24_final
2019-05-24 11:23:04	ga_ls7e_ard_3-0-0_112075_2019-05-24_final
2019-05-24 11:23:28	ga_ls7e_ard_3-0-0_112076_2019-05-24_final
2019-05-24 11:23:52	ga_ls7e_ard_3-0-0_112077_2019-05-24_final
2019-05-24 11:24:16	ga_ls7e_ard_3-0-0_112078_2019-05-24_final
2019-05-26 11:13:02	ga_ls7e_ard_3-0-0_110081_2019-05-26_final
2019-05-26 11:13:26	ga_ls7e_ard_3-0-0_110082_2019-05-26_final
2019-05-26 11:13:50	ga_ls7e_ard_3-0-0_110083_2019-05-26_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