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
2014-12-17 09:26:58	ga_ls7e_ard_3-0-0_091089_2014-12-16_final
2014-12-17 09:27:22	ga_ls7e_ard_3-0-0_091090_2014-12-16_final
2014-12-19 09:14:38	ga_ls7e_ard_3-0-0_089089_2014-12-18_final
2014-12-19 09:15:02	ga_ls7e_ard_3-0-0_089090_2014-12-18_final
2015-01-09 09:33:13	ga_ls7e_ard_3-0-0_092089_2015-01-09_final
2015-01-11 09:20:51	ga_ls7e_ard_3-0-0_090089_2015-01-10_final
2015-01-11 09:21:15	ga_ls7e_ard_3-0-0_090090_2015-01-10_final
2015-01-27 09:20:55	ga_ls7e_ard_3-0-0_090089_2015-01-26_final
2015-01-27 09:21:19	ga_ls7e_ard_3-0-0_090090_2015-01-26_final
2015-02-19 09:27:37	ga_ls7e_ard_3-0-0_091090_2015-02-18_final
2015-02-21 09:15:17	ga_ls7e_ard_3-0-0_089090_2015-02-20_final
2015-03-25 09:15:09	ga_ls7e_ard_3-0-0_089089_2015-03-24_final
2015-03-25 09:15:33	ga_ls7e_ard_3-0-0_089090_2015-03-24_final
2015-04-08 09:27:38	ga_ls7e_ard_3-0-0_091089_2015-04-07_final
2015-05-01 09:33:57	ga_ls7e_ard_3-0-0_092089_2015-05-01_final
2015-05-03 09:22:00	ga_ls7e_ard_3-0-0_090090_2015-05-02_final
2015-06-18 09:34:16	ga_ls7e_ard_3-0-0_092089_2015-06-18_final
2015-06-20 09:21:54	ga_ls7e_ard_3-0-0_090089_2015-06-19_final
2015-06-20 09:22:18	ga_ls7e_ard_3-0-0_090090_2015-06-19_final
2015-07-13 09:28:12	ga_ls7e_ard_3-0-0_091089_2015-07-12_final
2015-07-15 09:15:51	ga_ls7e_ard_3-1-0_089089_2015-07-14_final
2015-08-16 09:15:57	ga_ls7e_ard_3-0-0_089089_2015-08-15_final
2015-08-30 09:28:18	ga_ls7e_ard_3-0-0_091089_2015-08-29_final
2015-08-30 09:28:42	ga_ls7e_ard_3-0-0_091090_2015-08-29_final
2015-09-01 09:15:56	ga_ls7e_ard_3-0-0_089089_2015-08-31_final
2015-09-01 09:16:20	ga_ls7e_ard_3-0-0_089090_2015-08-31_final
2015-09-06 09:34:31	ga_ls7e_ard_3-0-0_092089_2015-09-06_final
2015-09-08 09:22:10	ga_ls7e_ard_3-0-0_090089_2015-09-07_final
2015-09-24 09:22:15	ga_ls7e_ard_3-0-0_090089_2015-09-23_final
2015-09-24 09:22:39	ga_ls7e_ard_3-0-0_090090_2015-09-23_final
2015-10-03 09:16:27	ga_ls7e_ard_3-0-0_089090_2015-10-02_final
2015-10-10 09:22:23	ga_ls7e_ard_3-0-0_090089_2015-10-09_final
2015-10-10 09:22:47	ga_ls7e_ard_3-0-0_090090_2015-10-09_final
2015-10-19 09:16:23	ga_ls7e_ard_3-1-0_089089_2015-10-18_final
2015-10-19 09:16:47	ga_ls7e_ard_3-0-0_089090_2015-10-18_final
2015-10-24 09:35:00	ga_ls7e_ard_3-0-0_092089_2015-10-24_final
2015-11-02 09:29:20	ga_ls7e_ard_3-0-0_091090_2015-11-01_final
2015-11-04 09:16:35	ga_ls7e_ard_3-0-0_089089_2015-11-03_final
2015-11-09 09:35:15	ga_ls7e_ard_3-0-0_092089_2015-11-09_final
2015-11-20 09:16:54	ga_ls7e_ard_3-1-0_089089_2015-11-19_final
2015-11-20 09:17:18	ga_ls7e_ard_3-0-0_089090_2015-11-19_final
2015-12-20 09:29:43	ga_ls7e_ard_3-0-0_091089_2015-12-19_final
2015-12-22 09:17:23	ga_ls7e_ard_3-0-0_089089_2015-12-21_final
2015-12-22 09:17:47	ga_ls7e_ard_3-0-0_089090_2015-12-21_final
2015-12-27 09:35:58	ga_ls7e_ard_3-0-0_092089_2015-12-27_final
2015-12-29 09:24:02	ga_ls7e_ard_3-0-0_090090_2015-12-28_final
2016-01-07 09:17:37	ga_ls7e_ard_3-1-0_089089_2016-01-06_final
2016-01-07 09:18:01	ga_ls7e_ard_3-0-0_089090_2016-01-06_final
2016-02-15 09:24:10	ga_ls7e_ard_3-0-0_090089_2016-02-14_final
2016-03-16 09:36:45	ga_ls7e_ard_3-0-0_092089_2016-03-16_final
2016-03-27 09:18:15	ga_ls7e_ard_3-1-0_089089_2016-03-26_final
2016-03-27 09:18:39	ga_ls7e_ard_3-0-0_089090_2016-03-26_final
2016-04-01 09:36:49	ga_ls7e_ard_3-0-0_092089_2016-04-01_final
2016-04-19 09:24:35	ga_ls7e_ard_3-0-0_090089_2016-04-18_final
2016-04-19 09:24:59	ga_ls7e_ard_3-0-0_090090_2016-04-18_final
2016-05-12 09:30:52	ga_ls7e_ard_3-0-0_091089_2016-05-12_final
2017-11-30 09:37:09	ga_ls7e_ard_3-0-0_092089_2017-11-30_final
2017-12-09 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-12-09_final
2018-01-10 09:30:31	ga_ls7e_ard_3-0-0_091089_2018-01-10_final
2018-01-10 09:30:55	ga_ls7e_ard_3-0-0_091090_2018-01-10_final
2018-01-17 09:36:35	ga_ls7e_ard_3-0-0_092089_2018-01-17_final
2018-02-02 09:36:19	ga_ls7e_ard_3-0-0_092089_2018-02-02_final
2018-02-04 09:23:56	ga_ls7e_ard_3-0-0_090089_2018-02-03_final
2018-02-04 09:24:20	ga_ls7e_ard_3-0-0_090090_2018-02-03_final
2018-02-20 09:23:45	ga_ls7e_ard_3-0-0_090089_2018-02-19_final
2018-02-20 09:24:09	ga_ls7e_ard_3-0-0_090090_2018-02-19_final
2018-03-22 09:35:46	ga_ls7e_ard_3-0-0_092089_2018-03-22_final
2018-03-24 09:23:22	ga_ls7e_ard_3-0-0_090089_2018-03-23_final
2018-03-31 09:29:27	ga_ls7e_ard_3-0-0_091089_2018-03-30_final
2018-04-07 09:35:31	ga_ls7e_ard_3-0-0_092089_2018-04-07_final
2018-04-16 09:29:12	ga_ls7e_ard_3-0-0_091089_2018-04-15_final
2018-04-16 09:29:36	ga_ls7e_ard_3-0-0_091090_2018-04-15_final
2018-04-23 09:35:15	ga_ls7e_ard_3-0-0_092089_2018-04-23_final
2018-05-25 09:34:43	ga_ls7e_ard_3-0-0_092089_2018-05-25_final
2018-05-27 09:22:20	ga_ls7e_ard_3-0-0_090089_2018-05-26_final
2018-05-27 09:22:44	ga_ls7e_ard_3-0-0_090090_2018-05-26_final
2018-06-19 09:28:06	ga_ls7e_ard_3-0-0_091089_2018-06-18_final
2018-06-19 09:28:30	ga_ls7e_ard_3-0-0_091090_2018-06-18_final
2018-06-28 09:21:45	ga_ls7e_ard_3-0-0_090089_2018-06-27_final
2018-06-28 09:22:09	ga_ls7e_ard_3-0-0_090090_2018-06-27_final
2018-07-21 09:27:30	ga_ls7e_ard_3-0-0_091089_2018-07-20_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2018-08-15 09:20:52	ga_ls7e_ard_3-0-0_090089_2018-08-14_final
2018-08-15 09:21:16	ga_ls7e_ard_3-0-0_090090_2018-08-14_final
2018-08-22 09:26:54	ga_ls7e_ard_3-0-0_091089_2018-08-21_final
2018-08-22 09:27:18	ga_ls7e_ard_3-0-0_091090_2018-08-21_final
2018-08-29 09:32:56	ga_ls7e_ard_3-0-0_092089_2018-08-29_final
2018-09-07 09:26:34	ga_ls7e_ard_3-0-0_091089_2018-09-06_final
2018-09-07 09:26:58	ga_ls7e_ard_3-0-0_091090_2018-09-06_final
2018-10-18 09:19:49	ga_ls7e_ard_3-0-0_090090_2018-10-17_final
2018-11-10 09:25:06	ga_ls7e_ard_3-0-0_091089_2018-11-09_final
2018-12-05 09:18:18	ga_ls7e_ard_3-0-0_090089_2018-12-04_final
2018-12-05 09:18:42	ga_ls7e_ard_3-0-0_090090_2018-12-04_final
2019-02-21 09:28:18	ga_ls7e_ard_3-1-0_092089_2019-02-20_final
2019-02-23 09:15:53	ga_ls7e_ard_3-1-0_090089_2019-02-22_final
2019-02-23 09:16:17	ga_ls7e_ard_3-1-0_090090_2019-02-22_final
2019-03-27 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_final
2019-03-27 09:15:14	ga_ls7e_ard_3-1-0_090090_2019-03-26_final
2019-05-12 09:25:31	ga_ls7e_ard_3-0-0_092089_2019-05-11_final
2019-05-14 09:13:05	ga_ls7e_ard_3-0-0_090089_2019-05-13_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