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
2009-08-31 09:06:17	ga_ls7e_ard_3-1-0_089089_2009-08-30_final
2009-09-05 09:24:49	ga_ls7e_ard_3-0-0_092089_2009-09-04_final
2010-03-16 09:26:47	ga_ls7e_ard_3-0-0_092089_2010-03-15_final
2010-04-17 09:26:52	ga_ls7e_ard_3-0-0_092089_2010-04-16_final
2014-12-24 09:33:11	ga_ls7e_ard_3-0-0_092089_2014-12-24_final
2015-01-02 09:26:59	ga_ls7e_ard_3-0-0_091089_2015-01-01_final
2015-01-25 09:33:15	ga_ls7e_ard_3-0-0_092089_2015-01-25_final
2015-02-10 09:33:20	ga_ls7e_ard_3-0-0_092089_2015-02-10_final
2015-02-12 09:20:57	ga_ls7e_ard_3-0-0_090089_2015-02-11_final
2015-02-19 09:27:13	ga_ls7e_ard_3-0-0_091089_2015-02-18_final
2015-02-21 09:14:53	ga_ls7e_ard_3-0-0_089089_2015-02-20_final
2015-04-08 09:27:38	ga_ls7e_ard_3-0-0_091089_2015-04-07_final
2015-04-10 09:15:17	ga_ls7e_ard_3-0-0_089089_2015-04-09_final
2015-05-10 09:27:51	ga_ls7e_ard_3-0-0_091089_2015-05-09_final
2015-05-19 09:21:45	ga_ls7e_ard_3-0-0_090089_2015-05-18_final
2015-06-02 09:34:10	ga_ls7e_ard_3-0-0_092089_2015-06-02_final
2015-06-04 09:21:50	ga_ls7e_ard_3-0-0_090089_2015-06-03_final
2015-06-18 09:34:16	ga_ls7e_ard_3-0-0_092089_2015-06-18_final
2015-06-20 09:21:54	ga_ls7e_ard_3-0-0_090089_2015-06-19_final
2015-07-15 09:15:51	ga_ls7e_ard_3-1-0_089089_2015-07-14_final
2015-07-31 09:15:53	ga_ls7e_ard_3-1-0_089089_2015-07-30_final
2015-09-01 09:15:56	ga_ls7e_ard_3-0-0_089089_2015-08-31_final
2015-10-17 09:28:42	ga_ls7e_ard_3-0-0_091089_2015-10-16_final
2015-10-19 09:16:23	ga_ls7e_ard_3-1-0_089089_2015-10-18_final
2016-03-16 09:36:45	ga_ls7e_ard_3-0-0_092089_2016-03-16_final
2016-05-05 09:24:40	ga_ls7e_ard_3-0-0_090089_2016-05-04_final
2016-05-12 09:30:52	ga_ls7e_ard_3-0-0_091089_2016-05-12_final
2016-05-21 09:24:43	ga_ls7e_ard_3-0-0_090089_2016-05-20_final
2016-05-28 09:30:57	ga_ls7e_ard_3-0-0_091089_2016-05-28_final
2016-06-04 09:37:10	ga_ls7e_ard_3-0-0_092089_2016-06-04_final
2016-07-08 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-07-07_final
2016-07-24 09:24:53	ga_ls7e_ard_3-0-0_090089_2016-07-23_final
2016-08-09 09:24:54	ga_ls7e_ard_3-0-0_090089_2016-08-08_final
2016-08-16 09:30:41	ga_ls7e_ard_3-0-0_091088_2016-08-16_final
2016-08-16 09:31:05	ga_ls7e_ard_3-1-0_091089_2016-08-16_final
2016-09-17 09:31:11	ga_ls7e_ard_3-0-0_091089_2016-09-17_final
2016-09-24 09:37:23	ga_ls7e_ard_3-0-0_092089_2016-09-24_final
2016-10-10 09:37:24	ga_ls7e_ard_3-0-0_092089_2016-10-10_final
2016-10-12 09:25:02	ga_ls7e_ard_3-0-0_090089_2016-10-11_final
2016-10-19 09:31:12	ga_ls7e_ard_3-0-0_091089_2016-10-19_final
2016-10-28 09:24:59	ga_ls7e_ard_3-0-0_090089_2016-10-27_final
2016-11-04 09:31:06	ga_ls7e_ard_3-0-0_091089_2016-11-04_final
2016-11-13 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-11-12_final
2016-12-15 09:24:44	ga_ls7e_ard_3-0-0_090089_2016-12-14_final
2017-02-01 09:24:17	ga_ls7e_ard_3-0-0_090089_2017-01-31_final
2017-03-03 09:36:45	ga_ls7e_ard_3-0-0_092089_2017-03-03_final
2017-03-19 09:36:50	ga_ls7e_ard_3-0-0_092089_2017-03-19_final
2017-03-21 09:24:29	ga_ls7e_ard_3-0-0_090089_2017-03-20_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
2017-04-06 09:24:33	ga_ls7e_ard_3-0-0_090089_2017-04-05_final
2017-04-13 09:30:48	ga_ls7e_ard_3-0-0_091089_2017-04-13_final
2017-04-20 09:37:02	ga_ls7e_ard_3-0-0_092089_2017-04-20_final
2017-04-29 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-04-29_final
2017-05-08 09:24:45	ga_ls7e_ard_3-0-0_090089_2017-05-07_final
2017-05-22 09:37:09	ga_ls7e_ard_3-0-0_092089_2017-05-22_final
2017-05-24 09:24:48	ga_ls7e_ard_3-0-0_090089_2017-05-23_final
2017-05-31 09:30:37	ga_ls7e_ard_3-0-0_091088_2017-05-31_final
2017-05-31 09:31:01	ga_ls7e_ard_3-0-0_091089_2017-05-31_final
2017-06-07 09:37:14	ga_ls7e_ard_3-0-0_092089_2017-06-07_final
2017-06-09 09:24:53	ga_ls7e_ard_3-0-0_090089_2017-06-08_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
2017-08-19 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-08-19_final
2017-08-19 09:31:04	ga_ls7e_ard_3-0-0_091089_2017-08-19_final
2017-08-28 09:24:54	ga_ls7e_ard_3-0-0_090089_2017-08-27_final
2017-09-20 09:31:02	ga_ls7e_ard_3-0-0_091089_2017-09-20_final
2017-10-06 09:31:04	ga_ls7e_ard_3-0-0_091089_2017-10-06_final
2017-10-15 09:24:55	ga_ls7e_ard_3-0-0_090089_2017-10-14_final
2017-10-22 09:31:06	ga_ls7e_ard_3-0-0_091089_2017-10-22_final
2017-10-29 09:37:17	ga_ls7e_ard_3-0-0_092089_2017-10-29_final
2017-10-31 09:24:55	ga_ls7e_ard_3-0-0_090089_2017-10-30_final
2017-11-07 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-11-07_final
2017-11-07 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-11-07_final
2017-11-16 09:24:53	ga_ls7e_ard_3-0-0_090089_2017-11-15_final
2018-01-03 09:24:26	ga_ls7e_ard_3-0-0_090089_2018-01-02_final
2018-03-06 09:35:58	ga_ls7e_ard_3-0-0_092089_2018-03-06_final
2018-03-08 09:23:35	ga_ls7e_ard_3-0-0_090089_2018-03-07_final
2018-06-26 09:34:09	ga_ls7e_ard_3-0-0_092089_2018-06-26_final
2018-08-15 09:20:52	ga_ls7e_ard_3-0-0_090089_2018-08-14_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
2018-12-28 09:23:49	ga_ls7e_ard_3-0-0_091089_2018-12-27_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 09:15:53	ga_ls7e_ard_3-1-0_090089_2019-02-22_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
2019-03-27 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_final
2019-04-26 09:25:44	ga_ls7e_ard_3-0-0_092088_2019-04-25_final
2019-04-26 09:26:08	ga_ls7e_ard_3-0-0_092089_2019-04-25_final
2019-04-28 09:13:18	ga_ls7e_ard_3-0-0_090088_2019-04-27_final
2019-04-28 09:13:42	ga_ls7e_ard_3-0-0_090089_2019-04-27_final
2019-05-05 09:19:12	ga_ls7e_ard_3-0-0_091088_2019-05-04_final
2019-05-05 09:19:36	ga_ls7e_ard_3-0-0_091089_2019-05-04_final
2019-06-06 09:18:25	ga_ls7e_ard_3-0-0_091089_2019-06-05_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