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
2013-02-03 10:23:17	ga_ls7e_ard_3-0-0_101081_2013-02-03_final
2013-03-23 10:23:09	ga_ls7e_ard_3-0-0_101081_2013-03-23_final
2013-04-24 10:22:59	ga_ls7e_ard_3-0-0_101081_2013-04-24_final
2013-07-29 10:22:21	ga_ls7e_ard_3-0-0_101081_2013-07-29_final
2013-11-02 10:23:10	ga_ls7e_ard_3-0-0_101081_2013-11-02_final
2013-12-04 10:23:24	ga_ls7e_ard_3-0-0_101081_2013-12-04_final
2014-03-10 10:23:53	ga_ls7e_ard_3-0-0_101081_2014-03-10_final
2014-05-13 10:24:22	ga_ls7e_ard_3-0-0_101081_2014-05-13_final
2014-07-16 10:24:35	ga_ls7e_ard_3-0-0_101081_2014-07-16_final
2014-08-17 10:24:43	ga_ls7e_ard_3-0-0_101081_2014-08-17_final
2014-12-23 10:25:37	ga_ls7e_ard_3-0-0_101081_2014-12-23_final
2015-01-08 10:25:38	ga_ls7e_ard_3-0-0_101081_2015-01-08_final
2015-02-25 10:25:54	ga_ls7e_ard_3-0-0_101081_2015-02-25_final
2015-03-13 10:26:00	ga_ls7e_ard_3-0-0_101081_2015-03-13_final
2015-03-29 10:26:08	ga_ls7e_ard_3-0-0_101081_2015-03-29_final
2015-04-14 10:26:17	ga_ls7e_ard_3-0-0_101081_2015-04-14_final
2015-04-30 10:26:23	ga_ls7e_ard_3-0-0_101081_2015-04-30_final
2015-05-16 10:26:31	ga_ls7e_ard_3-0-0_101081_2015-05-16_final
2015-06-01 10:26:35	ga_ls7e_ard_3-0-0_101081_2015-06-01_final
2015-06-17 10:26:41	ga_ls7e_ard_3-0-0_101081_2015-06-17_final
2015-07-03 10:26:44	ga_ls7e_ard_3-0-0_101081_2015-07-03_final
2015-07-19 10:26:49	ga_ls7e_ard_3-0-0_101081_2015-07-19_final
2015-09-05 10:26:56	ga_ls7e_ard_3-0-0_101081_2015-09-05_final
2015-09-21 10:27:02	ga_ls7e_ard_3-0-0_101081_2015-09-21_final
2015-10-07 10:27:06	ga_ls7e_ard_3-0-0_101081_2015-10-07_final
2015-10-23 10:27:25	ga_ls7e_ard_3-0-0_101081_2015-10-23_final
2015-11-08 10:27:39	ga_ls7e_ard_3-0-0_101081_2015-11-08_final
2015-11-24 10:27:55	ga_ls7e_ard_3-0-0_101081_2015-11-24_final
2015-12-10 10:28:10	ga_ls7e_ard_3-0-0_101081_2015-12-10_final
2015-12-26 10:28:23	ga_ls7e_ard_3-0-0_101081_2015-12-26_final
2016-01-11 10:28:39	ga_ls7e_ard_3-0-0_101081_2016-01-11_final
2016-01-27 10:28:50	ga_ls7e_ard_3-0-0_101081_2016-01-27_final
2016-02-12 10:28:57	ga_ls7e_ard_3-0-0_101081_2016-02-12_final
2016-02-28 10:29:00	ga_ls7e_ard_3-0-0_101081_2016-02-28_final
2016-03-15 10:29:10	ga_ls7e_ard_3-0-0_101081_2016-03-15_final
2016-03-31 10:29:14	ga_ls7e_ard_3-0-0_101081_2016-03-31_final
2016-04-16 10:29:21	ga_ls7e_ard_3-0-0_101081_2016-04-16_final
2016-05-02 10:29:27	ga_ls7e_ard_3-0-0_101081_2016-05-02_final
2016-05-18 10:29:29	ga_ls7e_ard_3-0-0_101081_2016-05-18_final
2016-06-03 10:29:35	ga_ls7e_ard_3-0-0_101081_2016-06-03_final
2016-06-19 10:29:38	ga_ls7e_ard_3-0-0_101081_2016-06-19_final
2016-07-05 10:29:38	ga_ls7e_ard_3-0-0_101081_2016-07-05_final
2016-07-21 10:29:40	ga_ls7e_ard_3-0-0_101081_2016-07-21_final
2016-08-06 10:29:42	ga_ls7e_ard_3-0-0_101081_2016-08-06_final
2016-08-22 10:29:43	ga_ls7e_ard_3-0-0_101081_2016-08-22_final
2016-09-07 10:29:47	ga_ls7e_ard_3-0-0_101081_2016-09-07_final
2016-09-23 10:29:49	ga_ls7e_ard_3-0-0_101081_2016-09-23_final
2016-10-09 10:29:50	ga_ls7e_ard_3-0-0_101081_2016-10-09_final
2016-10-25 10:29:47	ga_ls7e_ard_3-0-0_101081_2016-10-25_final
2016-11-10 10:29:40	ga_ls7e_ard_3-0-0_101081_2016-11-10_final
2016-11-26 10:29:36	ga_ls7e_ard_3-0-0_101081_2016-11-26_final
2016-12-12 10:29:32	ga_ls7e_ard_3-0-0_101081_2016-12-12_final
2016-12-28 10:29:25	ga_ls7e_ard_3-0-0_101081_2016-12-28_final
2017-01-29 10:29:05	ga_ls7e_ard_3-0-0_101081_2017-01-29_final
2017-02-14 10:29:01	ga_ls7e_ard_3-0-0_101081_2017-02-14_final
2017-03-02 10:29:10	ga_ls7e_ard_3-0-0_101081_2017-03-02_final
2017-03-18 10:29:16	ga_ls7e_ard_3-0-0_101081_2017-03-18_final
2017-04-03 10:29:19	ga_ls7e_ard_3-0-0_101081_2017-04-03_final
2017-04-19 10:29:27	ga_ls7e_ard_3-0-0_101081_2017-04-19_final
2017-05-05 10:29:32	ga_ls7e_ard_3-0-0_101081_2017-05-05_final
2017-05-21 10:29:35	ga_ls7e_ard_3-0-0_101081_2017-05-21_final
2017-06-06 10:29:39	ga_ls7e_ard_3-0-0_101081_2017-06-06_final
2017-06-22 10:29:43	ga_ls7e_ard_3-0-0_101081_2017-06-22_final
2017-07-08 10:29:44	ga_ls7e_ard_3-0-0_101081_2017-07-08_final
2017-07-24 10:29:44	ga_ls7e_ard_3-0-0_101081_2017-07-24_final
2017-08-09 10:29:41	ga_ls7e_ard_3-0-0_101081_2017-08-09_final
2017-08-25 10:29:41	ga_ls7e_ard_3-0-0_101081_2017-08-25_final
2017-09-10 10:29:40	ga_ls7e_ard_3-0-0_101081_2017-09-10_final
2017-09-26 10:29:40	ga_ls7e_ard_3-0-0_101081_2017-09-26_final
2017-10-12 10:29:42	ga_ls7e_ard_3-0-0_101081_2017-10-12_final
2017-11-13 10:29:41	ga_ls7e_ard_3-0-0_101081_2017-11-13_final
2017-11-29 10:29:35	ga_ls7e_ard_3-0-0_101081_2017-11-29_final
2017-12-15 10:29:27	ga_ls7e_ard_3-0-0_101081_2017-12-15_final
2018-01-16 10:29:02	ga_ls7e_ard_3-0-0_101081_2018-01-16_final
2018-02-17 10:28:34	ga_ls7e_ard_3-0-0_101081_2018-02-17_final
2018-03-05 10:28:24	ga_ls7e_ard_3-0-0_101081_2018-03-05_final
2018-03-21 10:28:12	ga_ls7e_ard_3-0-0_101081_2018-03-21_final
2018-04-06 10:27:58	ga_ls7e_ard_3-0-0_101081_2018-04-06_final
2018-04-22 10:27:42	ga_ls7e_ard_3-0-0_101081_2018-04-22_final
2018-05-24 10:27:10	ga_ls7e_ard_3-0-0_101081_2018-05-24_final
2018-06-25 10:26:36	ga_ls7e_ard_3-0-0_101081_2018-06-25_final
2018-07-11 10:26:16	ga_ls7e_ard_3-0-0_101081_2018-07-11_final
2018-07-27 10:26:00	ga_ls7e_ard_3-0-0_101081_2018-07-27_final
2018-08-12 10:25:42	ga_ls7e_ard_3-0-0_101081_2018-08-12_final
2018-08-28 10:25:23	ga_ls7e_ard_3-0-0_101081_2018-08-28_final
2018-09-13 10:25:03	ga_ls7e_ard_3-0-0_101081_2018-09-13_final
2018-09-29 10:24:40	ga_ls7e_ard_3-0-0_101081_2018-09-29_final
2018-10-15 10:24:16	ga_ls7e_ard_3-0-0_101081_2018-10-15_final
2018-10-31 10:23:56	ga_ls7e_ard_3-0-0_101081_2018-10-31_final
2018-11-16 10:23:34	ga_ls7e_ard_3-0-0_101081_2018-11-16_final
2018-12-02 10:23:10	ga_ls7e_ard_3-0-0_101081_2018-12-02_final
2018-12-18 10:22:43	ga_ls7e_ard_3-0-0_101081_2018-12-18_final
2019-02-04 10:21:14	ga_ls7e_ard_3-0-0_101081_2019-02-04_final
2019-02-20 10:20:46	ga_ls7e_ard_3-1-0_101081_2019-02-20_final
2019-03-08 10:20:15	ga_ls7e_ard_3-1-0_101081_2019-03-08_final
2019-04-09 10:19:11	ga_ls7e_ard_3-0-0_101081_2019-04-09_final
2019-04-25 10:18:36	ga_ls7e_ard_3-0-0_101081_2019-04-25_final
2019-05-11 10:17:59	ga_ls7e_ard_3-0-0_101081_2019-05-11_final
2019-05-27 10:17:22	ga_ls7e_ard_3-0-0_101081_2019-05-27_final
2019-06-12 10:16:48	ga_ls7e_ard_3-0-0_101081_2019-06-12_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