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:

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First 100 results (query limit)

Time (local)	Label
2014-02-24 10:09:50	ga_ls7e_ard_3-0-0_099077_2014-02-24_final
2014-04-13 10:10:10	ga_ls7e_ard_3-0-0_099077_2014-04-13_final
2014-04-29 10:10:20	ga_ls7e_ard_3-0-0_099077_2014-04-29_final
2014-05-15 10:10:26	ga_ls7e_ard_3-0-0_099077_2014-05-15_final
2014-05-31 10:10:30	ga_ls7e_ard_3-0-0_099077_2014-05-31_final
2014-06-16 10:10:31	ga_ls7e_ard_3-0-0_099077_2014-06-16_final
2014-07-18 10:10:39	ga_ls7e_ard_3-0-0_099077_2014-07-18_final
2014-08-03 10:10:46	ga_ls7e_ard_3-0-0_099077_2014-08-03_final
2014-11-23 10:11:24	ga_ls7e_ard_3-0-0_099077_2014-11-23_final
2014-12-09 10:11:30	ga_ls7e_ard_3-0-0_099077_2014-12-09_final
2015-02-27 10:11:58	ga_ls7e_ard_3-0-0_099077_2015-02-27_final
2015-03-15 10:12:04	ga_ls7e_ard_3-0-0_099077_2015-03-15_final
2015-03-31 10:12:11	ga_ls7e_ard_3-0-0_099077_2015-03-31_final
2015-04-16 10:12:20	ga_ls7e_ard_3-0-0_099077_2015-04-16_final
2015-05-02 10:12:26	ga_ls7e_ard_3-0-0_099077_2015-05-02_final
2015-05-18 10:12:34	ga_ls7e_ard_3-0-0_099077_2015-05-18_final
2015-06-19 10:12:44	ga_ls7e_ard_3-0-0_099077_2015-06-19_final
2015-07-05 10:12:48	ga_ls7e_ard_3-0-0_099077_2015-07-05_final
2015-08-06 10:12:56	ga_ls7e_ard_3-0-0_099077_2015-08-06_final
2015-08-22 10:12:58	ga_ls7e_ard_3-0-0_099077_2015-08-22_final
2015-09-07 10:13:00	ga_ls7e_ard_3-0-0_099077_2015-09-07_final
2015-09-23 10:13:05	ga_ls7e_ard_3-0-0_099077_2015-09-23_final
2015-10-09 10:13:12	ga_ls7e_ard_3-0-0_099077_2015-10-09_final
2015-10-25 10:13:29	ga_ls7e_ard_3-0-0_099077_2015-10-25_final
2015-11-10 10:13:44	ga_ls7e_ard_3-0-0_099077_2015-11-10_final
2015-12-12 10:14:14	ga_ls7e_ard_3-0-0_099077_2015-12-12_final
2016-01-13 10:14:43	ga_ls7e_ard_3-0-0_099077_2016-01-13_final
2016-01-29 10:14:54	ga_ls7e_ard_3-0-0_099077_2016-01-29_final
2016-03-01 10:15:04	ga_ls7e_ard_3-0-0_099077_2016-03-01_final
2016-03-17 10:15:13	ga_ls7e_ard_3-0-0_099077_2016-03-17_final
2016-04-02 10:15:17	ga_ls7e_ard_3-0-0_099077_2016-04-02_final
2016-05-04 10:15:30	ga_ls7e_ard_3-0-0_099077_2016-05-04_final
2016-06-05 10:15:38	ga_ls7e_ard_3-0-0_099077_2016-06-05_final
2016-06-21 10:15:41	ga_ls7e_ard_3-0-0_099077_2016-06-21_final
2016-07-07 10:15:41	ga_ls7e_ard_3-0-0_099077_2016-07-07_final
2016-07-23 10:15:43	ga_ls7e_ard_3-0-0_099077_2016-07-23_final
2016-08-08 10:15:44	ga_ls7e_ard_3-0-0_099077_2016-08-08_final
2016-08-24 10:15:46	ga_ls7e_ard_3-0-0_099077_2016-08-24_final
2016-09-09 10:15:49	ga_ls7e_ard_3-0-0_099077_2016-09-09_final
2016-09-25 10:15:52	ga_ls7e_ard_3-0-0_099077_2016-09-25_final
2016-10-11 10:15:52	ga_ls7e_ard_3-0-0_099077_2016-10-11_final
2016-10-27 10:15:49	ga_ls7e_ard_3-0-0_099077_2016-10-27_final
2016-11-12 10:15:41	ga_ls7e_ard_3-0-0_099077_2016-11-12_final
2016-11-28 10:15:38	ga_ls7e_ard_3-0-0_099077_2016-11-28_final
2016-12-14 10:15:34	ga_ls7e_ard_3-0-0_099077_2016-12-14_final
2016-12-30 10:15:27	ga_ls7e_ard_3-0-0_099077_2016-12-30_final
2017-01-15 10:15:16	ga_ls7e_ard_3-0-0_099077_2017-01-15_final
2017-01-31 10:15:07	ga_ls7e_ard_3-0-0_099077_2017-01-31_final
2017-02-16 10:15:05	ga_ls7e_ard_3-0-0_099077_2017-02-16_final
2017-03-04 10:15:13	ga_ls7e_ard_3-0-0_099077_2017-03-04_final
2017-03-20 10:15:19	ga_ls7e_ard_3-0-0_099077_2017-03-20_final
2017-04-05 10:15:22	ga_ls7e_ard_3-0-0_099077_2017-04-05_final
2017-04-21 10:15:30	ga_ls7e_ard_3-0-0_099077_2017-04-21_final
2017-05-07 10:15:35	ga_ls7e_ard_3-0-0_099077_2017-05-07_final
2017-05-23 10:15:37	ga_ls7e_ard_3-0-0_099077_2017-05-23_final
2017-06-08 10:15:42	ga_ls7e_ard_3-0-0_099077_2017-06-08_final
2017-06-24 10:15:46	ga_ls7e_ard_3-0-0_099077_2017-06-24_final
2017-07-26 10:15:46	ga_ls7e_ard_3-0-0_099077_2017-07-26_final
2017-08-11 10:15:44	ga_ls7e_ard_3-0-0_099077_2017-08-11_final
2017-08-27 10:15:44	ga_ls7e_ard_3-0-0_099077_2017-08-27_final
2017-09-12 10:15:43	ga_ls7e_ard_3-0-0_099077_2017-09-12_final
2017-09-28 10:15:43	ga_ls7e_ard_3-0-0_099077_2017-09-28_final
2017-10-14 10:15:45	ga_ls7e_ard_3-0-0_099077_2017-10-14_final
2017-10-30 10:15:45	ga_ls7e_ard_3-0-0_099077_2017-10-30_final
2017-11-15 10:15:43	ga_ls7e_ard_3-0-0_099077_2017-11-15_final
2017-12-01 10:15:37	ga_ls7e_ard_3-0-0_099077_2017-12-01_final
2017-12-17 10:15:28	ga_ls7e_ard_3-0-0_099077_2017-12-17_final
2018-01-02 10:15:16	ga_ls7e_ard_3-0-0_099077_2018-01-02_final
2018-01-18 10:15:02	ga_ls7e_ard_3-0-0_099077_2018-01-18_final
2018-02-03 10:14:47	ga_ls7e_ard_3-0-0_099077_2018-02-03_final
2018-02-19 10:14:36	ga_ls7e_ard_3-0-0_099077_2018-02-19_final
2018-03-23 10:14:13	ga_ls7e_ard_3-0-0_099077_2018-03-23_final
2018-04-08 10:13:59	ga_ls7e_ard_3-0-0_099077_2018-04-08_final
2018-04-24 10:13:42	ga_ls7e_ard_3-0-0_099077_2018-04-24_final
2018-05-10 10:13:25	ga_ls7e_ard_3-0-0_099077_2018-05-10_final
2018-05-26 10:13:10	ga_ls7e_ard_3-0-0_099077_2018-05-26_final
2018-06-11 10:12:54	ga_ls7e_ard_3-0-0_099077_2018-06-11_final
2018-06-27 10:12:36	ga_ls7e_ard_3-0-0_099077_2018-06-27_final
2018-07-13 10:12:17	ga_ls7e_ard_3-0-0_099077_2018-07-13_final
2018-07-29 10:12:00	ga_ls7e_ard_3-0-0_099077_2018-07-29_final
2018-08-14 10:11:43	ga_ls7e_ard_3-0-0_099077_2018-08-14_final
2018-08-30 10:11:23	ga_ls7e_ard_3-0-0_099077_2018-08-30_final
2018-10-01 10:10:40	ga_ls7e_ard_3-0-0_099077_2018-10-01_final
2019-01-21 10:07:43	ga_ls7e_ard_3-0-0_099077_2019-01-21_final
2019-02-22 10:06:44	ga_ls7e_ard_3-1-0_099077_2019-02-22_final
2019-03-10 10:06:14	ga_ls7e_ard_3-1-0_099077_2019-03-10_final
2019-04-27 10:04:34	ga_ls7e_ard_3-0-0_099077_2019-04-27_final
2019-05-29 10:03:21	ga_ls7e_ard_3-0-0_099077_2019-05-29_final
2019-06-30 10:02:11	ga_ls7e_ard_3-0-0_099077_2019-06-30_final
2019-07-16 10:01:34	ga_ls7e_ard_3-0-0_099077_2019-07-16_final
2019-09-18 09:58:52	ga_ls7e_ard_3-1-0_099077_2019-09-18_final
2019-11-05 09:56:49	ga_ls7e_ard_3-1-0_099077_2019-11-05_final
2019-11-21 09:56:04	ga_ls7e_ard_3-1-0_099077_2019-11-21_final
2019-12-07 09:55:18	ga_ls7e_ard_3-1-0_099077_2019-12-07_final
2020-01-24 09:52:52	ga_ls7e_ard_3-1-0_099077_2020-01-24_final
2020-02-25 09:51:13	ga_ls7e_ard_3-1-0_099077_2020-02-25_final
2020-04-13 09:48:33	ga_ls7e_ard_3-1-0_099077_2020-04-13_final
2020-05-15 09:46:38	ga_ls7e_ard_3-1-0_099077_2020-05-15_final
2020-05-31 09:45:40	ga_ls7e_ard_3-1-0_099077_2020-05-31_final
2020-06-16 09:44:44	ga_ls7e_ard_3-1-0_099077_2020-06-16_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