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
2007-09-16 09:24:03	ga_ls7e_ard_3-0-0_092088_2007-09-15_final
2007-09-18 09:11:41	ga_ls7e_ard_3-0-0_090088_2007-09-17_final
2007-09-23 09:30:13	ga_ls7e_ard_3-1-0_093088_2007-09-23_final
2007-10-02 09:23:35	ga_ls7e_ard_3-0-0_092087_2007-10-01_final
2007-10-02 09:23:59	ga_ls7e_ard_3-0-0_092088_2007-10-01_final
2007-10-09 09:30:08	ga_ls7e_ard_3-1-0_093088_2007-10-09_final
2007-10-11 09:17:48	ga_ls7e_ard_3-0-0_091088_2007-10-10_final
2007-10-18 09:24:04	ga_ls7e_ard_3-0-0_092088_2007-10-17_final
2007-10-20 09:11:44	ga_ls7e_ard_3-0-0_090088_2007-10-19_final
2007-11-05 09:11:55	ga_ls7e_ard_3-0-0_090088_2007-11-04_final
2007-11-19 09:24:24	ga_ls7e_ard_3-0-0_092088_2007-11-18_final
2007-12-05 09:24:30	ga_ls7e_ard_3-0-0_092088_2007-12-04_final
2007-12-12 09:30:43	ga_ls7e_ard_3-0-0_093088_2007-12-12_final
2007-12-14 09:18:22	ga_ls7e_ard_3-0-0_091088_2007-12-13_final
2008-01-06 09:24:36	ga_ls7e_ard_3-0-0_092088_2008-01-05_final
2008-01-08 09:12:15	ga_ls7e_ard_3-0-0_090088_2008-01-07_final
2008-01-24 09:12:14	ga_ls7e_ard_3-0-0_090088_2008-01-23_final
2008-02-07 09:24:33	ga_ls7e_ard_3-0-0_092088_2008-02-06_final
2008-02-16 09:18:20	ga_ls7e_ard_3-0-0_091088_2008-02-15_final
2008-03-19 09:18:12	ga_ls7e_ard_3-0-0_091088_2008-03-18_final
2008-04-04 09:18:13	ga_ls7e_ard_3-0-0_091088_2008-04-03_final
2008-04-20 09:17:47	ga_ls7e_ard_3-0-0_091087_2008-04-19_final
2008-04-29 09:11:58	ga_ls7e_ard_3-1-0_090088_2008-04-28_final
2008-05-15 09:11:53	ga_ls7e_ard_3-0-0_090088_2008-05-14_final
2008-06-05 09:30:16	ga_ls7e_ard_3-0-0_093088_2008-06-05_final
2008-06-07 09:17:53	ga_ls7e_ard_3-0-0_091088_2008-06-06_final
2008-06-14 09:24:00	ga_ls7e_ard_3-0-0_092088_2008-06-13_final
2008-08-03 09:11:08	ga_ls7e_ard_3-0-0_090088_2008-08-02_final
2008-09-20 09:10:45	ga_ls7e_ard_3-0-0_090088_2008-09-19_final
2009-01-24 09:23:59	ga_ls7e_ard_3-0-0_092088_2009-01-23_final
2009-01-26 09:11:38	ga_ls7e_ard_3-0-0_090088_2009-01-25_final
2009-01-31 09:30:12	ga_ls7e_ard_3-1-0_093088_2009-01-31_final
2014-03-18 09:37:19	ga_ls7e_ard_3-0-0_093088_2014-03-18_final
2014-03-20 09:24:58	ga_ls7e_ard_3-0-0_091088_2014-03-19_final
2014-04-05 09:25:03	ga_ls7e_ard_3-0-0_091088_2014-04-04_final
2014-04-19 09:37:34	ga_ls7e_ard_3-0-0_093088_2014-04-19_final
2014-04-21 09:25:14	ga_ls7e_ard_3-0-0_091088_2014-04-20_final
2014-06-06 09:37:50	ga_ls7e_ard_3-0-0_093088_2014-06-06_final
2014-07-08 09:37:57	ga_ls7e_ard_3-0-0_093088_2014-07-08_final
2014-07-10 09:25:36	ga_ls7e_ard_3-0-0_091088_2014-07-09_final
2014-07-26 09:25:40	ga_ls7e_ard_3-0-0_091088_2014-07-25_final
2014-08-27 09:25:40	ga_ls7e_ard_3-0-0_091088_2014-08-26_final
2017-10-18 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-10-18_final
2017-10-20 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-10-20_final
2017-10-20 09:43:04	ga_ls7e_ard_3-0-0_093088_2017-10-20_final
2017-11-12 09:48:49	ga_ls7e_ard_3-0-0_094087_2017-11-12_final
2017-12-09 09:30:30	ga_ls7e_ard_3-0-0_091088_2017-12-09_final
2017-12-18 09:24:13	ga_ls7e_ard_3-0-0_090088_2017-12-17_final
2018-01-03 09:24:02	ga_ls7e_ard_3-0-0_090088_2018-01-02_final
2018-01-31 09:47:55	ga_ls7e_ard_3-0-0_094087_2018-01-31_final
2018-02-02 09:35:32	ga_ls7e_ard_3-0-0_092087_2018-02-02_final
2018-02-02 09:35:55	ga_ls7e_ard_3-0-0_092088_2018-02-02_final
2018-02-18 09:35:20	ga_ls7e_ard_3-0-0_092087_2018-02-18_final
2018-10-18 09:19:01	ga_ls7e_ard_3-0-0_090088_2018-10-17_final
2018-10-23 09:37:03	ga_ls7e_ard_3-0-0_093087_2018-10-23_final
2018-11-19 09:18:18	ga_ls7e_ard_3-0-0_090088_2018-11-18_final
2018-11-26 09:24:19	ga_ls7e_ard_3-0-0_091088_2018-11-25_final
2018-12-05 09:17:54	ga_ls7e_ard_3-0-0_090088_2018-12-04_final
2019-04-19 09:19:25	ga_ls7e_ard_3-0-0_091087_2019-04-18_final
2019-04-19 09:19:48	ga_ls7e_ard_3-0-0_091088_2019-04-18_final
2019-11-04 09:17:35	ga_ls7e_ard_3-1-0_092087_2019-11-03_final
2019-11-04 09:17:59	ga_ls7e_ard_3-1-0_092088_2019-11-03_final
2019-11-11 09:23:27	ga_ls7e_ard_3-1-0_093087_2019-11-10_final
2019-11-13 09:11:00	ga_ls7e_ard_3-1-0_091087_2019-11-12_final
2019-11-13 09:11:24	ga_ls7e_ard_3-1-0_091088_2019-11-12_final
2019-11-22 09:04:48	ga_ls7e_ard_3-1-0_090088_2019-11-21_final
2019-12-31 09:09:01	ga_ls7e_ard_3-1-0_091088_2019-12-30_final
2020-01-14 09:20:16	ga_ls7e_ard_3-1-0_093087_2020-01-13_final
2020-01-14 09:20:40	ga_ls7e_ard_3-1-0_093088_2020-01-13_final
2020-01-16 09:08:13	ga_ls7e_ard_3-1-0_091088_2020-01-15_final
2020-02-06 09:25:18	ga_ls7e_ard_3-1-0_094087_2020-02-05_final
2020-02-08 09:12:50	ga_ls7e_ard_3-1-0_092087_2020-02-07_final
2020-02-08 09:13:14	ga_ls7e_ard_3-1-0_092088_2020-02-07_final
2020-02-22 09:24:28	ga_ls7e_ard_3-1-0_094087_2020-02-21_final
2020-02-24 09:12:00	ga_ls7e_ard_3-1-0_092087_2020-02-23_final
2020-03-16 09:29:25	ga_ls7e_ard_3-1-0_095087_2020-03-15_final
2020-03-20 09:04:28	ga_ls7e_ard_3-1-0_091087_2020-03-19_final
2020-03-20 09:04:52	ga_ls7e_ard_3-1-0_091088_2020-03-19_final
2020-04-01 09:28:31	ga_ls7e_ard_3-1-0_095087_2020-03-31_final
2020-04-03 09:16:03	ga_ls7e_ard_3-1-0_093087_2020-04-02_final
2020-04-03 09:16:26	ga_ls7e_ard_3-1-0_093088_2020-04-02_final
2020-04-05 09:03:58	ga_ls7e_ard_3-1-0_091088_2020-04-04_final
2020-04-21 09:02:38	ga_ls7e_ard_3-1-0_091087_2020-04-20_final
2020-04-21 09:03:02	ga_ls7e_ard_3-1-0_091088_2020-04-20_final
2020-04-26 09:20:53	ga_ls7e_ard_3-1-0_094087_2020-04-25_final
2020-04-28 09:08:24	ga_ls7e_ard_3-1-0_092087_2020-04-27_final
2020-04-28 09:08:48	ga_ls7e_ard_3-1-0_092088_2020-04-27_final
2020-05-05 09:14:10	ga_ls7e_ard_3-1-0_093087_2020-05-04_final
2020-05-07 09:01:41	ga_ls7e_ard_3-1-0_091087_2020-05-06_final
2020-05-07 09:02:05	ga_ls7e_ard_3-1-0_091088_2020-05-06_final
2020-05-19 09:25:40	ga_ls7e_ard_3-1-0_095087_2020-05-18_final
2020-05-21 09:13:11	ga_ls7e_ard_3-1-0_093087_2020-05-20_final
2020-05-21 09:13:35	ga_ls7e_ard_3-1-0_093088_2020-05-20_final
2020-05-23 09:00:42	ga_ls7e_ard_3-1-0_091087_2020-05-22_final
2020-05-23 09:01:06	ga_ls7e_ard_3-1-0_091088_2020-05-22_final
2022-01-14 08:08:01	ga_ls7e_ard_3-2-1_090088_2022-01-13_final
2022-01-19 08:25:41	ga_ls7e_ard_3-2-1_093087_2022-01-18_final
2022-01-19 08:26:05	ga_ls7e_ard_3-2-1_093088_2022-01-18_final
2022-01-21 08:13:08	ga_ls7e_ard_3-2-1_091087_2022-01-20_final
2022-01-21 08:13:32	ga_ls7e_ard_3-2-1_091088_2022-01-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years