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
2014-01-26 10:37:13	ga_ls7e_ard_3-0-0_104068_2014-01-26_final
2014-02-11 10:37:16	ga_ls7e_ard_3-0-0_104068_2014-02-11_final
2014-03-15 10:37:17	ga_ls7e_ard_3-0-0_104068_2014-03-15_final
2014-03-31 10:37:24	ga_ls7e_ard_3-0-0_104068_2014-03-31_final
2014-05-02 10:37:39	ga_ls7e_ard_3-0-0_104068_2014-05-02_final
2014-05-18 10:37:46	ga_ls7e_ard_3-0-0_104068_2014-05-18_final
2014-07-05 10:37:57	ga_ls7e_ard_3-0-0_104068_2014-07-05_final
2014-08-06 10:38:05	ga_ls7e_ard_3-0-0_104068_2014-08-06_final
2014-08-22 10:38:03	ga_ls7e_ard_3-0-0_104068_2014-08-22_final
2014-09-07 10:38:05	ga_ls7e_ard_3-0-0_104068_2014-09-07_final
2014-09-23 10:38:10	ga_ls7e_ard_3-0-0_104068_2014-09-23_final
2014-10-09 10:38:22	ga_ls7e_ard_3-0-0_104068_2014-10-09_final
2014-10-25 10:38:32	ga_ls7e_ard_3-0-0_104068_2014-10-25_final
2014-11-26 10:38:44	ga_ls7e_ard_3-0-0_104068_2014-11-26_final
2014-12-12 10:38:52	ga_ls7e_ard_3-0-0_104068_2014-12-12_final
2014-12-28 10:38:57	ga_ls7e_ard_3-0-0_104068_2014-12-28_final
2015-02-14 10:39:06	ga_ls7e_ard_3-0-0_104068_2015-02-14_final
2015-04-03 10:39:31	ga_ls7e_ard_3-0-0_104068_2015-04-03_final
2015-04-19 10:39:39	ga_ls7e_ard_3-0-0_104068_2015-04-19_final
2015-05-05 10:39:45	ga_ls7e_ard_3-0-0_104068_2015-05-05_final
2015-05-21 10:39:53	ga_ls7e_ard_3-0-0_104068_2015-05-21_final
2015-06-06 10:40:00	ga_ls7e_ard_3-0-0_104068_2015-06-06_final
2015-06-22 10:40:02	ga_ls7e_ard_3-0-0_104068_2015-06-22_final
2015-07-24 10:40:11	ga_ls7e_ard_3-0-0_104068_2015-07-24_final
2015-08-09 10:40:15	ga_ls7e_ard_3-0-0_104068_2015-08-09_final
2015-09-10 10:40:20	ga_ls7e_ard_3-0-0_104068_2015-09-10_final
2015-10-12 10:40:34	ga_ls7e_ard_3-0-0_104068_2015-10-12_final
2015-10-28 10:40:50	ga_ls7e_ard_3-0-0_104068_2015-10-28_final
2015-11-29 10:41:19	ga_ls7e_ard_3-0-0_104068_2015-11-29_final
2015-12-15 10:41:36	ga_ls7e_ard_3-0-0_104068_2015-12-15_final
2016-01-16 10:42:04	ga_ls7e_ard_3-0-0_104068_2016-01-16_final
2016-02-01 10:42:14	ga_ls7e_ard_3-0-0_104068_2016-02-01_final
2016-02-17 10:42:18	ga_ls7e_ard_3-0-0_104068_2016-02-17_final
2016-03-04 10:42:25	ga_ls7e_ard_3-0-0_104068_2016-03-04_final
2016-03-20 10:42:33	ga_ls7e_ard_3-0-0_104068_2016-03-20_final
2016-04-05 10:42:36	ga_ls7e_ard_3-0-0_104068_2016-04-05_final
2016-04-21 10:42:44	ga_ls7e_ard_3-0-0_104068_2016-04-21_final
2016-05-07 10:42:49	ga_ls7e_ard_3-0-0_104068_2016-05-07_final
2016-05-23 10:42:52	ga_ls7e_ard_3-0-0_104068_2016-05-23_final
2016-06-08 10:42:58	ga_ls7e_ard_3-0-0_104068_2016-06-08_final
2016-06-24 10:43:00	ga_ls7e_ard_3-0-0_104068_2016-06-24_final
2016-07-10 10:42:59	ga_ls7e_ard_3-0-0_104068_2016-07-10_final
2016-07-26 10:43:02	ga_ls7e_ard_3-0-0_104068_2016-07-26_final
2016-08-11 10:43:03	ga_ls7e_ard_3-0-0_104068_2016-08-11_final
2016-08-27 10:43:06	ga_ls7e_ard_3-0-0_104068_2016-08-27_final
2016-09-12 10:43:08	ga_ls7e_ard_3-0-0_104068_2016-09-12_final
2016-09-28 10:43:11	ga_ls7e_ard_3-0-0_104068_2016-09-28_final
2016-10-14 10:43:11	ga_ls7e_ard_3-0-0_104068_2016-10-14_final
2016-10-30 10:43:06	ga_ls7e_ard_3-0-0_104068_2016-10-30_final
2016-11-15 10:42:58	ga_ls7e_ard_3-0-0_104068_2016-11-15_final
2016-12-01 10:42:56	ga_ls7e_ard_3-0-0_104068_2016-12-01_final
2016-12-17 10:42:51	ga_ls7e_ard_3-0-0_104068_2016-12-17_final
2017-01-18 10:42:32	ga_ls7e_ard_3-0-0_104068_2017-01-18_final
2017-02-03 10:42:25	ga_ls7e_ard_3-0-0_104068_2017-02-03_final
2017-03-07 10:42:33	ga_ls7e_ard_3-0-0_104068_2017-03-07_final
2017-03-23 10:42:38	ga_ls7e_ard_3-0-0_104068_2017-03-23_final
2017-04-08 10:42:43	ga_ls7e_ard_3-0-0_104068_2017-04-08_final
2017-04-24 10:42:50	ga_ls7e_ard_3-0-0_104068_2017-04-24_final
2017-05-10 10:42:54	ga_ls7e_ard_3-0-0_104068_2017-05-10_final
2017-05-26 10:42:57	ga_ls7e_ard_3-0-0_104068_2017-05-26_final
2017-06-11 10:43:02	ga_ls7e_ard_3-0-0_104068_2017-06-11_final
2017-06-27 10:43:05	ga_ls7e_ard_3-0-0_104068_2017-06-27_final
2017-07-13 10:43:05	ga_ls7e_ard_3-0-0_104068_2017-07-13_final
2017-07-29 10:43:04	ga_ls7e_ard_3-0-0_104068_2017-07-29_final
2017-08-14 10:43:02	ga_ls7e_ard_3-0-0_104068_2017-08-14_final
2017-08-30 10:43:03	ga_ls7e_ard_3-0-0_104068_2017-08-30_final
2017-09-15 10:43:01	ga_ls7e_ard_3-0-0_104068_2017-09-15_final
2017-10-01 10:43:02	ga_ls7e_ard_3-0-0_104068_2017-10-01_final
2017-10-17 10:43:04	ga_ls7e_ard_3-0-0_104068_2017-10-17_final
2017-11-02 10:43:04	ga_ls7e_ard_3-0-0_104068_2017-11-02_final
2017-11-18 10:43:00	ga_ls7e_ard_3-0-0_104068_2017-11-18_final
2017-12-04 10:42:54	ga_ls7e_ard_3-0-0_104068_2017-12-04_final
2017-12-20 10:42:45	ga_ls7e_ard_3-0-0_104068_2017-12-20_final
2018-01-05 10:42:33	ga_ls7e_ard_3-0-0_104068_2018-01-05_final
2018-02-06 10:42:02	ga_ls7e_ard_3-0-0_104068_2018-02-06_final
2018-02-22 10:41:53	ga_ls7e_ard_3-0-0_104068_2018-02-22_final
2018-03-10 10:41:42	ga_ls7e_ard_3-0-0_104068_2018-03-10_final
2018-03-26 10:41:29	ga_ls7e_ard_3-0-0_104068_2018-03-26_final
2018-04-11 10:41:14	ga_ls7e_ard_3-0-0_104068_2018-04-11_final
2018-04-27 10:40:58	ga_ls7e_ard_3-0-0_104068_2018-04-27_final
2018-05-29 10:40:26	ga_ls7e_ard_3-0-0_104068_2018-05-29_final
2018-06-30 10:39:51	ga_ls7e_ard_3-0-0_104068_2018-06-30_final
2018-08-17 10:38:58	ga_ls7e_ard_3-0-0_104068_2018-08-17_final
2018-09-02 10:38:38	ga_ls7e_ard_3-0-0_104068_2018-09-02_final
2018-11-05 10:37:10	ga_ls7e_ard_3-0-0_104068_2018-11-05_final
2018-11-21 10:36:48	ga_ls7e_ard_3-0-0_104068_2018-11-21_final
2018-12-07 10:36:23	ga_ls7e_ard_3-0-0_104068_2018-12-07_final
2019-03-29 10:32:55	ga_ls7e_ard_3-1-0_104068_2019-03-29_final
2019-04-30 10:31:45	ga_ls7e_ard_3-0-0_104068_2019-04-30_final
2019-06-01 10:30:33	ga_ls7e_ard_3-0-0_104068_2019-06-01_final
2019-07-03 10:29:22	ga_ls7e_ard_3-0-0_104068_2019-07-03_final
2019-07-19 10:28:45	ga_ls7e_ard_3-0-0_104068_2019-07-19_final
2019-08-04 10:28:06	ga_ls7e_ard_3-0-0_104068_2019-08-04_final
2019-11-08 10:23:59	ga_ls7e_ard_3-1-0_104068_2019-11-08_final
2019-11-24 10:23:14	ga_ls7e_ard_3-1-0_104068_2019-11-24_final
2019-12-26 10:21:38	ga_ls7e_ard_3-1-0_104068_2019-12-26_final
2020-03-15 10:17:30	ga_ls7e_ard_3-1-0_104068_2020-03-15_final
2020-04-16 10:15:41	ga_ls7e_ard_3-1-0_104068_2020-04-16_final
2020-05-18 10:13:46	ga_ls7e_ard_3-1-0_104068_2020-05-18_final
2020-06-03 10:12:48	ga_ls7e_ard_3-1-0_104068_2020-06-03_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