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
1999-07-08 09:27:25	ga_ls7e_ard_3-0-0_092089_1999-07-07_final
1999-09-05 09:09:02	ga_ls7e_ard_3-0-0_089089_1999-09-04_final
1999-11-29 09:27:25	ga_ls7e_ard_3-0-0_092089_1999-11-28_final
1999-12-01 09:15:04	ga_ls7e_ard_3-0-0_090089_1999-11-30_final
2002-02-22 09:23:31	ga_ls7e_ard_3-0-0_092089_2002-02-21_final
2002-03-05 09:05:02	ga_ls7e_ard_3-0-0_089089_2002-03-04_final
2002-03-10 09:23:34	ga_ls7e_ard_3-0-0_092089_2002-03-09_final
2002-03-12 09:11:12	ga_ls7e_ard_3-0-0_090089_2002-03-11_final
2002-03-21 09:04:53	ga_ls7e_ard_3-0-0_089089_2002-03-20_final
2002-03-26 09:23:28	ga_ls7e_ard_3-0-0_092089_2002-03-25_final
2002-03-28 09:11:06	ga_ls7e_ard_3-0-0_090089_2002-03-27_final
2002-04-11 09:23:28	ga_ls7e_ard_3-0-0_092089_2002-04-10_final
2002-04-13 09:11:06	ga_ls7e_ard_3-0-0_090089_2002-04-12_final
2002-04-20 09:17:14	ga_ls7e_ard_3-0-0_091089_2002-04-19_final
2002-04-29 09:11:07	ga_ls7e_ard_3-0-0_090089_2002-04-28_final
2002-05-13 09:23:24	ga_ls7e_ard_3-0-0_092089_2002-05-12_final
2002-05-15 09:11:00	ga_ls7e_ard_3-0-0_090089_2002-05-14_final
2002-05-31 09:10:54	ga_ls7e_ard_3-0-0_090089_2002-05-30_final
2002-06-07 09:17:03	ga_ls7e_ard_3-0-0_091089_2002-06-06_final
2002-06-25 09:04:33	ga_ls7e_ard_3-1-0_089089_2002-06-24_final
2002-07-09 09:16:53	ga_ls7e_ard_3-0-0_091089_2002-07-08_final
2002-07-11 09:04:30	ga_ls7e_ard_3-0-0_089089_2002-07-10_final
2002-07-16 09:23:00	ga_ls7e_ard_3-0-0_092089_2002-07-15_final
2002-07-25 09:16:43	ga_ls7e_ard_3-0-0_091089_2002-07-24_final
2002-08-03 09:10:29	ga_ls7e_ard_3-0-0_090089_2002-08-02_final
2006-04-08 09:12:20	ga_ls7e_ard_3-0-0_090089_2006-04-07_final
2006-05-03 09:06:09	ga_ls7e_ard_3-0-0_089089_2006-05-02_final
2006-06-18 09:18:27	ga_ls7e_ard_3-0-0_091089_2006-06-17_final
2006-07-13 09:12:06	ga_ls7e_ard_3-0-0_090089_2006-07-12_final
2006-08-05 09:18:09	ga_ls7e_ard_3-0-0_091089_2006-08-04_final
2007-11-28 09:18:41	ga_ls7e_ard_3-0-0_091089_2007-11-27_final
2008-01-01 09:06:27	ga_ls7e_ard_3-1-0_089089_2007-12-31_final
2008-07-25 09:17:45	ga_ls7e_ard_3-0-0_091089_2008-07-24_final
2008-10-04 09:23:22	ga_ls7e_ard_3-0-0_092089_2008-10-03_final
2008-11-16 09:05:16	ga_ls7e_ard_3-0-0_089089_2008-11-15_final
2009-01-01 09:18:06	ga_ls7e_ard_3-0-0_091089_2008-12-31_final
2018-04-25 09:22:52	ga_ls7e_ard_3-0-0_090089_2018-04-24_final
2018-05-02 09:28:55	ga_ls7e_ard_3-0-0_091089_2018-05-01_final
2018-05-18 09:28:39	ga_ls7e_ard_3-0-0_091089_2018-05-17_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
2018-06-03 09:28:23	ga_ls7e_ard_3-0-0_091089_2018-06-02_final
2018-06-10 09:34:27	ga_ls7e_ard_3-0-0_092089_2018-06-10_final
2018-06-19 09:28:06	ga_ls7e_ard_3-0-0_091089_2018-06-18_final
2018-06-26 09:34:09	ga_ls7e_ard_3-0-0_092089_2018-06-26_final
2018-06-28 09:21:45	ga_ls7e_ard_3-0-0_090089_2018-06-27_final
2018-07-05 09:27:47	ga_ls7e_ard_3-0-0_091089_2018-07-04_final
2018-07-12 09:33:49	ga_ls7e_ard_3-0-0_092089_2018-07-12_final
2018-07-14 09:21:26	ga_ls7e_ard_3-0-0_090089_2018-07-13_final
2018-07-21 09:27:30	ga_ls7e_ard_3-0-0_091089_2018-07-20_final
2018-07-28 09:33:33	ga_ls7e_ard_3-0-0_092089_2018-07-28_final
2018-07-30 09:21:09	ga_ls7e_ard_3-0-0_090089_2018-07-29_final
2018-08-15 09:20:52	ga_ls7e_ard_3-0-0_090089_2018-08-14_final
2018-08-22 09:26:54	ga_ls7e_ard_3-0-0_091089_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
2018-09-14 09:32:36	ga_ls7e_ard_3-0-0_092089_2018-09-14_final
2018-09-16 09:20:11	ga_ls7e_ard_3-0-0_090089_2018-09-15_final
2018-09-23 09:26:12	ga_ls7e_ard_3-0-0_091089_2018-09-22_final
2018-10-02 09:19:49	ga_ls7e_ard_3-0-0_090089_2018-10-01_final
2018-11-17 09:31:07	ga_ls7e_ard_3-0-0_092089_2018-11-17_final
2018-11-19 09:18:42	ga_ls7e_ard_3-0-0_090089_2018-11-18_final
2018-12-05 09:18:18	ga_ls7e_ard_3-0-0_090089_2018-12-04_final
2018-12-21 09:17:51	ga_ls7e_ard_3-0-0_090089_2018-12-20_final
2019-01-04 09:29:47	ga_ls7e_ard_3-1-0_092089_2019-01-03_final
2019-01-06 09:17:22	ga_ls7e_ard_3-0-0_090089_2019-01-05_final
2019-01-20 09:29:17	ga_ls7e_ard_3-0-0_092089_2019-01-19_final
2019-01-29 09:22:48	ga_ls7e_ard_3-0-0_091089_2019-01-28_final
2019-02-14 09:22:20	ga_ls7e_ard_3-0-0_091089_2019-02-13_final
2019-02-21 09:28:18	ga_ls7e_ard_3-1-0_092089_2019-02-20_final
2019-03-02 09:21:50	ga_ls7e_ard_3-1-0_091089_2019-03-01_final
2019-04-10 09:26:43	ga_ls7e_ard_3-0-0_092089_2019-04-09_final
2019-04-19 09:20:12	ga_ls7e_ard_3-0-0_091089_2019-04-18_final
2019-04-26 09:26:08	ga_ls7e_ard_3-0-0_092089_2019-04-25_final
2019-04-28 09:13:42	ga_ls7e_ard_3-0-0_090089_2019-04-27_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
2019-05-21 09:18:59	ga_ls7e_ard_3-0-0_091089_2019-05-20_final
2019-05-30 09:12:29	ga_ls7e_ard_3-0-0_090089_2019-05-29_final
2019-06-06 09:18:25	ga_ls7e_ard_3-0-0_091089_2019-06-05_final
2019-07-08 09:17:13	ga_ls7e_ard_3-0-0_091089_2019-07-07_final
2019-07-17 09:10:41	ga_ls7e_ard_3-0-0_090089_2019-07-16_final
2019-07-31 09:22:29	ga_ls7e_ard_3-0-0_092089_2019-07-30_final
2019-08-07 09:27:59	ga_ls7e_ard_3-0-0_093088_2019-08-06_final
2019-08-09 09:15:56	ga_ls7e_ard_3-0-0_091089_2019-08-08_final
2019-08-18 09:09:23	ga_ls7e_ard_3-0-0_090089_2019-08-17_final
2019-08-25 09:15:16	ga_ls7e_ard_3-1-0_091089_2019-08-24_final
2019-09-03 09:08:42	ga_ls7e_ard_3-1-0_090089_2019-09-02_final
2019-09-17 09:20:27	ga_ls7e_ard_3-1-0_092089_2019-09-16_final
2019-09-26 09:13:52	ga_ls7e_ard_3-1-0_091089_2019-09-25_final
2019-10-03 09:19:46	ga_ls7e_ard_3-1-0_092089_2019-10-02_final
2019-10-05 09:07:19	ga_ls7e_ard_3-1-0_090089_2019-10-04_final
2019-10-12 09:13:12	ga_ls7e_ard_3-1-0_091089_2019-10-11_final
2019-11-04 09:18:23	ga_ls7e_ard_3-1-0_092089_2019-11-03_final
2019-12-06 09:16:53	ga_ls7e_ard_3-1-0_092089_2019-12-05_final
2019-12-08 09:04:25	ga_ls7e_ard_3-1-0_090089_2019-12-07_final
2019-12-31 09:09:25	ga_ls7e_ard_3-1-0_091089_2019-12-30_final
2020-04-05 09:03:58	ga_ls7e_ard_3-1-0_091088_2020-04-04_final
2020-04-05 09:04:22	ga_ls7e_ard_3-1-0_091089_2020-04-04_final
2020-05-07 09:02:29	ga_ls7e_ard_3-1-0_091089_2020-05-06_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