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
2014-05-19 11:24:38	ga_ls7e_ard_3-0-0_111077_2014-05-19_final
2014-05-19 11:25:02	ga_ls7e_ard_3-0-0_111078_2014-05-19_final
2014-05-19 11:25:26	ga_ls7e_ard_3-0-0_111079_2014-05-19_final
2014-05-19 11:25:49	ga_ls7e_ard_3-0-0_111080_2014-05-19_final
2014-05-19 11:26:13	ga_ls7e_ard_3-0-0_111081_2014-05-19_final
2014-05-19 11:26:37	ga_ls7e_ard_3-1-0_111082_2014-05-19_final
2014-05-21 11:15:04	ga_ls7e_ard_3-0-0_109084_2014-05-21_final
2014-06-02 11:33:03	ga_ls7e_ard_3-0-0_113067_2014-06-02_final
2014-06-13 11:20:54	ga_ls7e_ard_3-0-0_110083_2014-06-13_final
2014-06-13 11:21:18	ga_ls7e_ard_3-0-0_110084_2014-06-13_final
2014-08-30 11:29:53	ga_ls7e_ard_3-1-0_112074_2014-08-30_final
2014-08-30 11:30:17	ga_ls7e_ard_3-0-0_112075_2014-08-30_final
2014-08-30 11:30:41	ga_ls7e_ard_3-0-0_112076_2014-08-30_final
2014-08-30 11:31:05	ga_ls7e_ard_3-0-0_112077_2014-08-30_final
2014-08-30 11:31:29	ga_ls7e_ard_3-0-0_112078_2014-08-30_final
2014-09-01 11:20:20	ga_ls7e_ard_3-0-0_110081_2014-09-01_final
2014-09-01 11:20:44	ga_ls7e_ard_3-0-0_110082_2014-09-01_final
2014-09-01 11:21:08	ga_ls7e_ard_3-0-0_110083_2014-09-01_final
2014-09-01 11:21:32	ga_ls7e_ard_3-0-0_110084_2014-09-01_final
2014-09-17 11:20:23	ga_ls7e_ard_3-0-0_110081_2014-09-17_final
2014-09-17 11:20:47	ga_ls7e_ard_3-0-0_110082_2014-09-17_final
2014-09-17 11:21:11	ga_ls7e_ard_3-0-0_110083_2014-09-17_final
2014-09-17 11:21:35	ga_ls7e_ard_3-0-0_110084_2014-09-17_final
2014-09-22 11:33:23	ga_ls7e_ard_3-0-0_113067_2014-09-22_final
2014-09-24 11:25:02	ga_ls7e_ard_3-0-0_111077_2014-09-24_final
2014-09-24 11:25:26	ga_ls7e_ard_3-0-0_111078_2014-09-24_final
2014-09-24 11:25:50	ga_ls7e_ard_3-0-0_111079_2014-09-24_final
2014-09-24 11:26:14	ga_ls7e_ard_3-0-0_111080_2014-09-24_final
2014-09-24 11:26:38	ga_ls7e_ard_3-0-0_111081_2014-09-24_final
2014-09-24 11:27:02	ga_ls7e_ard_3-1-0_111082_2014-09-24_final
2016-09-13 11:29:59	ga_ls7e_ard_3-0-0_111077_2016-09-13_final
2016-09-13 11:30:23	ga_ls7e_ard_3-0-0_111078_2016-09-13_final
2016-09-13 11:30:47	ga_ls7e_ard_3-0-0_111079_2016-09-13_final
2016-09-13 11:31:11	ga_ls7e_ard_3-0-0_111080_2016-09-13_final
2016-09-13 11:31:35	ga_ls7e_ard_3-0-0_111081_2016-09-13_final
2016-09-13 11:31:59	ga_ls7e_ard_3-1-0_111082_2016-09-13_final
2016-09-15 11:20:25	ga_ls7e_ard_3-0-0_109084_2016-09-15_final
2016-11-21 11:44:22	ga_ls7e_ard_3-0-0_114067_2016-11-21_final
2016-12-04 11:20:13	ga_ls7e_ard_3-0-0_109084_2016-12-04_final
2017-01-24 11:43:52	ga_ls7e_ard_3-0-0_114067_2017-01-24_final
2017-01-26 11:34:17	ga_ls7e_ard_3-0-0_112074_2017-01-26_final
2017-01-26 11:34:41	ga_ls7e_ard_3-0-0_112075_2017-01-26_final
2017-01-26 11:35:05	ga_ls7e_ard_3-0-0_112076_2017-01-26_final
2017-01-26 11:35:29	ga_ls7e_ard_3-0-0_112077_2017-01-26_final
2017-01-26 11:35:53	ga_ls7e_ard_3-0-0_112078_2017-01-26_final
2017-02-18 11:37:38	ga_ls7e_ard_3-0-0_113067_2017-02-18_final
2017-12-03 11:38:08	ga_ls7e_ard_3-0-0_113067_2017-12-03_final
2017-12-05 11:30:32	ga_ls7e_ard_3-0-0_111079_2017-12-05_final
2017-12-05 11:30:56	ga_ls7e_ard_3-0-0_111080_2017-12-05_final
2017-12-05 11:31:20	ga_ls7e_ard_3-0-0_111081_2017-12-05_final
2017-12-05 11:31:44	ga_ls7e_ard_3-1-0_111082_2017-12-05_final
2017-12-07 11:20:10	ga_ls7e_ard_3-0-0_109084_2017-12-07_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
2018-05-30 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
2018-08-09 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
2019-07-18 11:24:01	ga_ls7e_ard_3-0-0_113067_2019-07-18_final
2019-07-25 11:29:55	ga_ls7e_ard_3-0-0_114067_2019-07-25_final
2019-07-27 11:20:16	ga_ls7e_ard_3-0-0_112074_2019-07-27_final
2019-07-27 11:20:40	ga_ls7e_ard_3-0-0_112075_2019-07-27_final
2019-07-27 11:21:04	ga_ls7e_ard_3-0-0_112076_2019-07-27_final
2019-07-27 11:21:28	ga_ls7e_ard_3-1-0_112077_2019-07-27_final
2019-08-10 11:29:16	ga_ls7e_ard_3-0-0_114067_2019-08-10_final
2019-08-12 11:19:37	ga_ls7e_ard_3-0-0_112074_2019-08-12_final
2019-08-12 11:20:01	ga_ls7e_ard_3-0-0_112075_2019-08-12_final
2019-08-12 11:20:24	ga_ls7e_ard_3-0-0_112076_2019-08-12_final
2019-08-12 11:20:48	ga_ls7e_ard_3-1-0_112077_2019-08-12_final
2019-08-12 11:21:12	ga_ls7e_ard_3-0-0_112078_2019-08-12_final
2019-09-29 11:17:32	ga_ls7e_ard_3-1-0_112074_2019-09-29_final
2019-09-29 11:17:56	ga_ls7e_ard_3-1-0_112075_2019-09-29_final
2019-09-29 11:18:20	ga_ls7e_ard_3-1-0_112076_2019-09-29_final
2019-09-29 11:18:44	ga_ls7e_ard_3-1-0_112077_2019-09-29_final
2019-09-29 11:19:08	ga_ls7e_ard_3-1-0_112078_2019-09-29_final
2019-10-01 11:07:53	ga_ls7e_ard_3-1-0_110081_2019-10-01_final
2019-10-01 11:08:17	ga_ls7e_ard_3-1-0_110082_2019-10-01_final
2019-10-01 11:08:41	ga_ls7e_ard_3-1-0_110083_2019-10-01_final
2019-10-01 11:09:05	ga_ls7e_ard_3-1-0_110084_2019-10-01_final
2019-12-02 11:14:41	ga_ls7e_ard_3-1-0_112074_2019-12-02_final
2019-12-02 11:15:05	ga_ls7e_ard_3-1-0_112075_2019-12-02_final
2019-12-02 11:15:29	ga_ls7e_ard_3-1-0_112076_2019-12-02_final
2019-12-02 11:15:53	ga_ls7e_ard_3-1-0_112077_2019-12-02_final
2019-12-02 11:16:17	ga_ls7e_ard_3-1-0_112078_2019-12-02_final
2019-12-04 11:05:01	ga_ls7e_ard_3-1-0_110081_2019-12-04_final
2019-12-04 11:05:25	ga_ls7e_ard_3-1-0_110082_2019-12-04_final
2019-12-04 11:05:49	ga_ls7e_ard_3-1-0_110083_2019-12-04_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