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:

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First 100 results (query limit)

Time (local)	Label
2010-05-03 09:26:26	ga_ls7e_ard_3-0-0_092088_2010-05-02_final
2010-05-05 09:14:04	ga_ls7e_ard_3-0-0_090088_2010-05-04_final
2010-05-12 09:20:12	ga_ls7e_ard_3-0-0_091088_2010-05-11_final
2010-05-28 09:20:12	ga_ls7e_ard_3-0-0_091088_2010-05-27_final
2010-06-06 09:14:01	ga_ls7e_ard_3-0-0_090088_2010-06-05_final
2010-06-20 09:26:24	ga_ls7e_ard_3-0-0_092088_2010-06-19_final
2010-07-06 09:26:27	ga_ls7e_ard_3-0-0_092088_2010-07-05_final
2010-07-08 09:14:06	ga_ls7e_ard_3-0-0_090088_2010-07-07_final
2010-07-22 09:26:28	ga_ls7e_ard_3-0-0_092088_2010-07-21_final
2010-07-24 09:14:07	ga_ls7e_ard_3-0-0_090088_2010-07-23_final
2010-07-31 09:20:17	ga_ls7e_ard_3-0-0_091088_2010-07-30_final
2010-08-07 09:26:27	ga_ls7e_ard_3-0-0_092088_2010-08-06_final
2010-08-09 09:14:05	ga_ls7e_ard_3-0-0_090088_2010-08-08_final
2010-08-16 09:20:18	ga_ls7e_ard_3-0-0_091088_2010-08-15_final
2010-09-15 09:32:43	ga_ls7e_ard_3-0-0_093088_2010-09-15_final
2010-09-17 09:20:21	ga_ls7e_ard_3-0-0_091088_2010-09-16_final
2010-12-06 09:21:01	ga_ls7e_ard_3-0-0_091088_2010-12-05_final
2010-12-22 09:21:08	ga_ls7e_ard_3-0-0_091088_2010-12-21_final
2011-01-16 09:15:11	ga_ls7e_ard_3-0-0_090088_2011-01-15_final
2011-01-21 09:33:46	ga_ls7e_ard_3-0-0_093088_2011-01-21_final
2013-10-11 09:24:02	ga_ls7e_ard_3-0-0_091088_2013-10-10_final
2013-12-07 09:18:14	ga_ls7e_ard_3-0-0_090088_2013-12-06_final
2014-01-13 09:36:57	ga_ls7e_ard_3-0-0_093088_2014-01-13_final
2014-02-16 09:24:49	ga_ls7e_ard_3-0-0_091088_2014-02-15_final
2014-03-20 09:24:58	ga_ls7e_ard_3-0-0_091088_2014-03-19_final
2014-11-06 09:32:28	ga_ls7e_ard_3-0-0_092088_2014-11-06_final
2014-11-15 09:26:19	ga_ls7e_ard_3-0-0_091088_2014-11-14_final
2014-11-22 09:32:31	ga_ls7e_ard_3-0-0_092088_2014-11-22_final
2014-11-29 09:38:46	ga_ls7e_ard_3-0-0_093088_2014-11-29_final
2014-12-15 09:38:54	ga_ls7e_ard_3-0-0_093088_2014-12-15_final
2014-12-24 09:32:47	ga_ls7e_ard_3-0-0_092088_2014-12-24_final
2014-12-26 09:20:25	ga_ls7e_ard_3-0-0_090088_2014-12-25_final
2015-01-02 09:26:35	ga_ls7e_ard_3-0-0_091088_2015-01-01_final
2015-01-25 09:32:51	ga_ls7e_ard_3-0-0_092088_2015-01-25_final
2015-01-27 09:20:31	ga_ls7e_ard_3-0-0_090088_2015-01-26_final
2015-02-03 09:26:45	ga_ls7e_ard_3-0-0_091088_2015-02-02_final
2015-02-10 09:32:56	ga_ls7e_ard_3-0-0_092088_2015-02-10_final
2015-02-12 09:20:33	ga_ls7e_ard_3-0-0_090088_2015-02-11_final
2015-03-05 09:39:19	ga_ls7e_ard_3-0-0_093088_2015-03-05_final
2015-03-14 09:33:11	ga_ls7e_ard_3-0-0_092088_2015-03-14_final
2015-04-01 09:20:57	ga_ls7e_ard_3-0-0_090088_2015-03-31_final
2015-04-06 09:39:34	ga_ls7e_ard_3-0-0_093088_2015-04-06_final
2015-04-08 09:27:14	ga_ls7e_ard_3-0-0_091088_2015-04-07_final
2015-04-15 09:33:28	ga_ls7e_ard_3-0-0_092088_2015-04-15_final
2015-04-17 09:21:07	ga_ls7e_ard_3-0-0_090088_2015-04-16_final
2015-04-22 09:39:39	ga_ls7e_ard_3-0-0_093088_2015-04-22_final
2015-05-10 09:27:27	ga_ls7e_ard_3-0-0_091088_2015-05-09_final
2015-05-19 09:21:21	ga_ls7e_ard_3-0-0_090088_2015-05-18_final
2015-06-02 09:33:46	ga_ls7e_ard_3-0-0_092088_2015-06-02_final
2015-06-04 09:21:26	ga_ls7e_ard_3-0-0_090088_2015-06-03_final
2015-06-18 09:33:52	ga_ls7e_ard_3-0-0_092088_2015-06-18_final
2015-06-20 09:21:30	ga_ls7e_ard_3-0-0_090088_2015-06-19_final
2015-06-25 09:40:02	ga_ls7e_ard_3-0-0_093088_2015-06-25_final
2015-06-27 09:27:41	ga_ls7e_ard_3-0-0_091088_2015-06-26_final
2015-07-13 09:27:48	ga_ls7e_ard_3-0-0_091088_2015-07-12_final
2015-07-27 09:40:11	ga_ls7e_ard_3-0-0_093088_2015-07-27_final
2015-07-29 09:27:49	ga_ls7e_ard_3-0-0_091088_2015-07-28_final
2015-08-05 09:34:03	ga_ls7e_ard_3-0-0_092088_2015-08-05_final
2015-08-07 09:21:42	ga_ls7e_ard_3-0-0_090088_2015-08-06_final
2015-08-12 09:40:16	ga_ls7e_ard_3-0-0_093088_2015-08-12_final
2017-03-05 09:24:00	ga_ls7e_ard_3-0-0_090088_2017-03-04_final
2017-03-10 09:42:34	ga_ls7e_ard_3-0-0_093088_2017-03-10_final
2017-03-19 09:36:26	ga_ls7e_ard_3-0-0_092088_2017-03-19_final
2017-03-21 09:24:05	ga_ls7e_ard_3-0-0_090088_2017-03-20_final
2017-03-28 09:30:18	ga_ls7e_ard_3-0-0_091088_2017-03-28_final
2017-04-11 09:42:44	ga_ls7e_ard_3-0-0_093088_2017-04-11_final
2017-04-13 09:30:24	ga_ls7e_ard_3-0-0_091088_2017-04-13_final
2017-04-20 09:36:38	ga_ls7e_ard_3-0-0_092088_2017-04-20_final
2017-04-27 09:42:51	ga_ls7e_ard_3-0-0_093088_2017-04-27_final
2017-04-29 09:30:30	ga_ls7e_ard_3-1-0_091088_2017-04-29_final
2017-05-08 09:24:21	ga_ls7e_ard_3-0-0_090088_2017-05-07_final
2017-05-13 09:42:55	ga_ls7e_ard_3-0-0_093088_2017-05-13_final
2017-05-15 09:30:33	ga_ls7e_ard_3-0-0_091088_2017-05-15_final
2017-05-22 09:36:45	ga_ls7e_ard_3-0-0_092088_2017-05-22_final
2017-05-29 09:42:58	ga_ls7e_ard_3-0-0_093088_2017-05-29_final
2017-05-31 09:30:37	ga_ls7e_ard_3-0-0_091088_2017-05-31_final
2017-06-07 09:36:50	ga_ls7e_ard_3-0-0_092088_2017-06-07_final
2017-06-09 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-06-08_final
2017-06-14 09:43:02	ga_ls7e_ard_3-0-0_093088_2017-06-14_final
2017-06-16 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-06-16_final
2017-06-30 09:43:05	ga_ls7e_ard_3-0-0_093088_2017-06-30_final
2017-07-02 09:30:43	ga_ls7e_ard_3-0-0_091088_2017-07-02_final
2017-07-27 09:24:32	ga_ls7e_ard_3-0-0_090088_2017-07-26_final
2017-08-03 09:30:42	ga_ls7e_ard_3-0-0_091088_2017-08-03_final
2017-08-10 09:36:52	ga_ls7e_ard_3-0-0_092088_2017-08-10_final
2017-08-12 09:24:30	ga_ls7e_ard_3-0-0_090088_2017-08-11_final
2017-08-28 09:24:30	ga_ls7e_ard_3-0-0_090088_2017-08-27_final
2017-09-20 09:30:38	ga_ls7e_ard_3-0-0_091088_2017-09-20_final
2017-09-29 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-09-28_final
2017-10-04 09:43:02	ga_ls7e_ard_3-0-0_093088_2017-10-04_final
2017-10-06 09:30:40	ga_ls7e_ard_3-0-0_091088_2017-10-06_final
2017-10-15 09:24:31	ga_ls7e_ard_3-0-0_090088_2017-10-14_final
2017-10-20 09:43:04	ga_ls7e_ard_3-0-0_093088_2017-10-20_final
2017-11-07 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-11-07_final
2019-08-18 09:08:59	ga_ls7e_ard_3-0-0_090088_2019-08-17_final
2019-09-03 09:08:18	ga_ls7e_ard_3-1-0_090088_2019-09-02_final
2019-12-06 09:16:29	ga_ls7e_ard_3-1-0_092088_2019-12-05_final
2019-12-08 09:04:01	ga_ls7e_ard_3-1-0_090088_2019-12-07_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

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