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
2004-08-15 09:16:52	ga_ls7e_ard_3-0-0_091088_2004-08-14_final
2004-08-15 09:17:16	ga_ls7e_ard_3-0-0_091089_2004-08-14_final
2004-10-04 09:04:40	ga_ls7e_ard_3-0-0_089089_2004-10-03_final
2004-11-10 09:23:35	ga_ls7e_ard_3-0-0_092089_2004-11-09_final
2004-11-12 09:10:49	ga_ls7e_ard_3-0-0_090088_2004-11-11_final
2004-11-12 09:11:13	ga_ls7e_ard_3-0-0_090089_2004-11-11_final
2004-11-19 09:17:02	ga_ls7e_ard_3-0-0_091088_2004-11-18_final
2004-11-19 09:17:26	ga_ls7e_ard_3-0-0_091089_2004-11-18_final
2005-01-22 09:17:28	ga_ls7e_ard_3-0-0_091088_2005-01-21_final
2005-01-22 09:17:52	ga_ls7e_ard_3-0-0_091089_2005-01-21_final
2005-03-02 09:23:56	ga_ls7e_ard_3-0-0_092088_2005-03-01_final
2005-03-02 09:24:20	ga_ls7e_ard_3-0-0_092089_2005-03-01_final
2005-03-04 09:11:34	ga_ls7e_ard_3-0-0_090088_2005-03-03_final
2005-03-04 09:11:58	ga_ls7e_ard_3-0-0_090089_2005-03-03_final
2005-03-11 09:17:46	ga_ls7e_ard_3-0-0_091088_2005-03-10_final
2005-03-11 09:18:10	ga_ls7e_ard_3-0-0_091089_2005-03-10_final
2005-03-13 09:05:49	ga_ls7e_ard_3-1-0_089089_2005-03-12_final
2005-03-20 09:11:35	ga_ls7e_ard_3-0-0_090088_2005-03-19_final
2005-03-20 09:11:59	ga_ls7e_ard_3-0-0_090089_2005-03-19_final
2005-04-05 09:11:31	ga_ls7e_ard_3-0-0_090088_2005-04-04_final
2005-04-05 09:11:55	ga_ls7e_ard_3-0-0_090089_2005-04-04_final
2005-04-30 09:05:41	ga_ls7e_ard_3-0-0_089089_2005-04-29_final
2005-05-05 09:24:15	ga_ls7e_ard_3-0-0_092089_2005-05-04_final
2005-05-07 09:11:30	ga_ls7e_ard_3-0-0_090088_2005-05-06_final
2005-05-07 09:11:54	ga_ls7e_ard_3-0-0_090089_2005-05-06_final
2005-05-16 09:05:43	ga_ls7e_ard_3-0-0_089089_2005-05-15_final
2005-05-21 09:23:51	ga_ls7e_ard_3-0-0_092088_2005-05-20_final
2005-05-23 09:11:29	ga_ls7e_ard_3-0-0_090088_2005-05-22_final
2005-05-23 09:11:53	ga_ls7e_ard_3-0-0_090089_2005-05-22_final
2005-06-08 09:11:23	ga_ls7e_ard_3-0-0_090088_2005-06-07_final
2005-06-08 09:11:47	ga_ls7e_ard_3-0-0_090089_2005-06-07_final
2005-06-13 09:29:53	ga_ls7e_ard_3-1-0_093088_2005-06-12_final
2005-06-15 09:17:31	ga_ls7e_ard_3-0-0_091088_2005-06-14_final
2005-06-15 09:17:55	ga_ls7e_ard_3-0-0_091089_2005-06-14_final
2005-06-17 09:05:33	ga_ls7e_ard_3-0-0_089089_2005-06-16_final
2005-06-22 09:23:40	ga_ls7e_ard_3-0-0_092088_2005-06-21_final
2005-06-22 09:24:04	ga_ls7e_ard_3-0-0_092089_2005-06-21_final
2005-07-19 09:05:32	ga_ls7e_ard_3-0-0_089089_2005-07-18_final
2005-08-16 09:29:45	ga_ls7e_ard_3-0-0_093088_2005-08-15_final
2005-08-25 09:23:31	ga_ls7e_ard_3-0-0_092088_2005-08-24_final
2005-08-25 09:23:55	ga_ls7e_ard_3-0-0_092089_2005-08-24_final
2005-08-27 09:11:08	ga_ls7e_ard_3-0-0_090088_2005-08-26_final
2005-08-27 09:11:32	ga_ls7e_ard_3-0-0_090089_2005-08-26_final
2005-09-10 09:23:45	ga_ls7e_ard_3-0-0_092089_2005-09-09_final
2005-09-12 09:11:22	ga_ls7e_ard_3-0-0_090089_2005-09-11_final
2005-10-03 09:29:30	ga_ls7e_ard_3-0-0_093088_2005-10-02_final
2005-10-12 09:23:43	ga_ls7e_ard_3-0-0_092089_2005-10-11_final
2005-10-14 09:10:59	ga_ls7e_ard_3-0-0_090088_2005-10-13_final
2005-10-14 09:11:23	ga_ls7e_ard_3-0-0_090089_2005-10-13_final
2005-10-23 09:05:20	ga_ls7e_ard_3-1-0_089089_2005-10-22_final
2008-10-15 09:04:47	ga_ls7e_ard_3-0-0_089089_2008-10-14_final
2008-12-25 09:11:52	ga_ls7e_ard_3-0-0_090089_2008-12-24_final
2015-01-18 09:26:37	ga_ls7e_ard_3-0-0_091088_2015-01-17_final
2015-01-18 09:27:01	ga_ls7e_ard_3-0-0_091089_2015-01-17_final
2015-01-20 09:14:39	ga_ls7e_ard_3-0-0_089089_2015-01-19_final
2015-05-26 09:27:55	ga_ls7e_ard_3-0-0_091089_2015-05-25_final
2015-05-28 09:15:35	ga_ls7e_ard_3-1-0_089089_2015-05-27_final
2017-11-23 09:30:37	ga_ls7e_ard_3-0-0_091088_2017-11-23_final
2017-11-23 09:31:01	ga_ls7e_ard_3-0-0_091089_2017-11-23_final
2017-12-18 09:24:13	ga_ls7e_ard_3-0-0_090088_2017-12-17_final
2017-12-18 09:24:37	ga_ls7e_ard_3-0-0_090089_2017-12-17_final
2018-01-26 09:29:52	ga_ls7e_ard_3-1-0_091088_2018-01-25_final
2018-01-26 09:30:16	ga_ls7e_ard_3-0-0_091089_2018-01-26_final
2018-02-27 09:29:28	ga_ls7e_ard_3-0-0_091088_2018-02-26_final
2018-02-27 09:29:52	ga_ls7e_ard_3-1-0_091089_2018-02-26_final
2018-03-24 09:23:22	ga_ls7e_ard_3-0-0_090089_2018-03-23_final
2018-07-14 09:21:02	ga_ls7e_ard_3-0-0_090088_2018-07-13_final
2018-07-14 09:21:26	ga_ls7e_ard_3-0-0_090089_2018-07-13_final
2018-09-14 09:32:36	ga_ls7e_ard_3-0-0_092089_2018-09-14_final
2018-10-02 09:19:49	ga_ls7e_ard_3-0-0_090089_2018-10-01_final
2018-10-09 09:25:25	ga_ls7e_ard_3-0-0_091088_2018-10-08_final
2018-10-18 09:19:01	ga_ls7e_ard_3-0-0_090088_2018-10-17_final
2018-11-01 09:31:29	ga_ls7e_ard_3-0-0_092089_2018-11-01_final
2018-11-10 09:24:42	ga_ls7e_ard_3-0-0_091088_2018-11-09_final
2018-11-10 09:25:06	ga_ls7e_ard_3-0-0_091089_2018-11-09_final
2018-11-19 09:18:18	ga_ls7e_ard_3-0-0_090088_2018-11-18_final
2018-11-19 09:18:42	ga_ls7e_ard_3-0-0_090089_2018-11-18_final
2018-11-26 09:24:19	ga_ls7e_ard_3-0-0_091088_2018-11-25_final
2018-11-26 09:24:42	ga_ls7e_ard_3-0-0_091089_2018-11-25_final
2018-12-05 09:17:54	ga_ls7e_ard_3-0-0_090088_2018-12-04_final
2018-12-05 09:18:18	ga_ls7e_ard_3-0-0_090089_2018-12-04_final
2018-12-12 09:23:53	ga_ls7e_ard_3-0-0_091088_2018-12-11_final
2018-12-12 09:24:17	ga_ls7e_ard_3-0-0_091089_2018-12-11_final
2018-12-21 09:17:27	ga_ls7e_ard_3-0-0_090088_2018-12-20_final
2018-12-21 09:17:51	ga_ls7e_ard_3-0-0_090089_2018-12-20_final
2018-12-28 09:23:25	ga_ls7e_ard_3-0-0_091088_2018-12-27_final
2018-12-28 09:23:49	ga_ls7e_ard_3-0-0_091089_2018-12-27_final
2019-01-11 09:35:21	ga_ls7e_ard_3-0-0_093088_2019-01-11_final
2019-03-09 09:27:24	ga_ls7e_ard_3-1-0_092088_2019-03-08_final
2019-03-11 09:14:58	ga_ls7e_ard_3-1-0_090088_2019-03-10_final
2019-03-11 09:15:22	ga_ls7e_ard_3-1-0_090089_2019-03-10_final
2019-03-16 09:33:21	ga_ls7e_ard_3-1-0_093088_2019-03-16_final
2019-03-18 09:20:55	ga_ls7e_ard_3-1-0_091088_2019-03-17_final
2019-03-18 09:21:19	ga_ls7e_ard_3-1-0_091089_2019-03-17_final
2019-03-25 09:26:52	ga_ls7e_ard_3-1-0_092088_2019-03-24_final
2019-03-27 09:14:26	ga_ls7e_ard_3-1-0_090088_2019-03-26_final
2019-03-27 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_final
2019-04-19 09:19:48	ga_ls7e_ard_3-0-0_091088_2019-04-18_final
2019-04-19 09:20:12	ga_ls7e_ard_3-0-0_091089_2019-04-18_final
2019-05-21 09:18:35	ga_ls7e_ard_3-0-0_091088_2019-05-20_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