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
2002-07-25 09:16:43	ga_ls7e_ard_3-0-0_091089_2002-07-24_final
2008-06-30 09:24:14	ga_ls7e_ard_3-0-0_092089_2008-06-29_final
2008-07-02 09:11:51	ga_ls7e_ard_3-0-0_090089_2008-07-01_final
2008-07-16 09:24:02	ga_ls7e_ard_3-0-0_092089_2008-07-15_final
2008-08-03 09:11:31	ga_ls7e_ard_3-0-0_090089_2008-08-02_final
2008-08-19 09:11:25	ga_ls7e_ard_3-0-0_090089_2008-08-18_final
2008-08-28 09:05:10	ga_ls7e_ard_3-0-0_089089_2008-08-27_final
2008-09-13 09:05:02	ga_ls7e_ard_3-1-0_089089_2008-09-12_final
2008-09-20 09:11:09	ga_ls7e_ard_3-0-0_090089_2008-09-19_final
2008-09-29 09:04:53	ga_ls7e_ard_3-0-0_089089_2008-09-28_final
2008-10-20 09:23:24	ga_ls7e_ard_3-0-0_092089_2008-10-19_final
2008-10-29 09:17:22	ga_ls7e_ard_3-0-0_091089_2008-10-28_final
2008-10-31 09:05:02	ga_ls7e_ard_3-0-0_089089_2008-10-30_final
2009-01-08 09:24:18	ga_ls7e_ard_3-0-0_092089_2009-01-07_final
2009-01-17 09:18:11	ga_ls7e_ard_3-0-0_091089_2009-01-16_final
2009-01-24 09:24:23	ga_ls7e_ard_3-0-0_092089_2009-01-23_final
2009-01-26 09:12:02	ga_ls7e_ard_3-0-0_090089_2009-01-25_final
2009-02-04 09:05:54	ga_ls7e_ard_3-0-0_089089_2009-02-03_final
2009-02-09 09:24:29	ga_ls7e_ard_3-0-0_092089_2009-02-08_final
2009-02-11 09:12:09	ga_ls7e_ard_3-0-0_090089_2009-02-10_final
2009-02-18 09:18:24	ga_ls7e_ard_3-0-0_091089_2009-02-17_final
2009-03-06 09:18:33	ga_ls7e_ard_3-0-0_091089_2009-03-05_final
2009-03-08 09:06:12	ga_ls7e_ard_3-0-0_089089_2009-03-07_final
2009-03-13 09:24:47	ga_ls7e_ard_3-0-0_092089_2009-03-12_final
2009-03-15 09:12:26	ga_ls7e_ard_3-0-0_090089_2009-03-14_final
2009-03-22 09:18:40	ga_ls7e_ard_3-0-0_091089_2009-03-21_final
2009-04-07 09:18:46	ga_ls7e_ard_3-0-0_091089_2009-04-06_final
2017-02-15 09:36:36	ga_ls7e_ard_3-0-0_092089_2017-02-15_final
2017-03-28 09:30:42	ga_ls7e_ard_3-0-0_091089_2017-03-28_final
2017-04-04 09:36:54	ga_ls7e_ard_3-0-0_092089_2017-04-04_final
2017-04-13 09:30:48	ga_ls7e_ard_3-0-0_091089_2017-04-13_final
2017-05-08 09:24:45	ga_ls7e_ard_3-0-0_090089_2017-05-07_final
2017-05-24 09:24:48	ga_ls7e_ard_3-0-0_090089_2017-05-23_final
2017-06-16 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-06-16_final
2017-06-16 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-06-16_final
2017-07-09 09:37:18	ga_ls7e_ard_3-0-0_092089_2017-07-09_final
2017-07-11 09:24:57	ga_ls7e_ard_3-0-0_090089_2017-07-10_final
2017-07-27 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-07-26_final
2017-08-03 09:30:42	ga_ls7e_ard_3-0-0_091088_2017-08-03_final
2017-08-03 09:31:06	ga_ls7e_ard_3-0-0_091089_2017-08-03_final
2017-08-10 09:37:16	ga_ls7e_ard_3-0-0_092089_2017-08-10_final
2017-08-12 09:24:54	ga_ls7e_ard_3-0-0_090089_2017-08-11_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
2018-10-18 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
2018-11-03 09:19:05	ga_ls7e_ard_3-0-0_090089_2018-11-02_final
2018-11-10 09:25:06	ga_ls7e_ard_3-0-0_091089_2018-11-09_final
2018-11-17 09:30:43	ga_ls7e_ard_3-0-0_092088_2018-11-17_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
2018-11-26 09:24:42	ga_ls7e_ard_3-0-0_091089_2018-11-25_final
2018-12-05 09:18:18	ga_ls7e_ard_3-0-0_090089_2018-12-04_final
2018-12-12 09:24:17	ga_ls7e_ard_3-0-0_091089_2018-12-11_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
2019-01-04 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
2019-01-11 09:35:21	ga_ls7e_ard_3-0-0_093088_2019-01-11_final
2019-01-13 09:23:20	ga_ls7e_ard_3-0-0_091089_2019-01-12_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
2019-02-05 09:28:47	ga_ls7e_ard_3-0-0_092089_2019-02-04_final
2019-02-12 09:34:21	ga_ls7e_ard_3-0-0_093088_2019-02-12_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
2019-02-23 09:15:29	ga_ls7e_ard_3-1-0_090088_2019-02-22_final
2019-02-23 09:15:53	ga_ls7e_ard_3-1-0_090089_2019-02-22_final
2019-03-02 09:21:26	ga_ls7e_ard_3-1-0_091088_2019-03-01_final
2019-03-02 09:21:50	ga_ls7e_ard_3-1-0_091089_2019-03-01_final
2019-03-09 09:27:24	ga_ls7e_ard_3-1-0_092088_2019-03-08_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 09:21:19	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 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_final
2019-04-10 09:26:43	ga_ls7e_ard_3-0-0_092089_2019-04-09_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