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 09:26:02	ga_ls7e_ard_3-0-0_092087_2010-05-02_final
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
2010-06-29 09:19:51	ga_ls7e_ard_3-0-0_091087_2010-06-28_final
2010-07-20 09:38:26	ga_ls7e_ard_3-0-0_094087_2010-07-20_final
2010-07-22 09:26:28	ga_ls7e_ard_3-0-0_092088_2010-07-21_final
2010-08-16 09:19:54	ga_ls7e_ard_3-0-0_091087_2010-08-15_final
2010-08-16 09:20:18	ga_ls7e_ard_3-0-0_091088_2010-08-15_final
2011-01-16 09:15:11	ga_ls7e_ard_3-0-0_090088_2011-01-15_final
2016-07-08 09:24:27	ga_ls7e_ard_3-0-0_090088_2016-07-07_final
2016-07-31 09:30:17	ga_ls7e_ard_3-0-0_091087_2016-07-31_final
2016-07-31 09:30:41	ga_ls7e_ard_3-0-0_091088_2016-07-31_final
2016-08-23 09:36:30	ga_ls7e_ard_3-0-0_092087_2016-08-23_final
2016-08-23 09:36:54	ga_ls7e_ard_3-0-0_092088_2016-08-23_final
2016-08-25 09:24:33	ga_ls7e_ard_3-0-0_090088_2016-08-24_final
2016-10-08 09:48:58	ga_ls7e_ard_3-0-0_094087_2016-10-08_final
2016-10-10 09:36:36	ga_ls7e_ard_3-0-0_092087_2016-10-10_final
2016-10-10 09:37:00	ga_ls7e_ard_3-0-0_092088_2016-10-10_final
2016-10-12 09:24:38	ga_ls7e_ard_3-0-0_090088_2016-10-11_final
2016-11-20 09:30:12	ga_ls7e_ard_3-1-0_091087_2016-11-20_final
2016-11-20 09:30:36	ga_ls7e_ard_3-0-0_091088_2016-11-20_final
2017-01-05 09:42:17	ga_ls7e_ard_3-1-0_093087_2017-01-05_final
2017-01-05 09:42:41	ga_ls7e_ard_3-0-0_093088_2017-01-05_final
2017-01-07 09:29:54	ga_ls7e_ard_3-1-0_091087_2017-01-06_final
2017-01-07 09:30:18	ga_ls7e_ard_3-0-0_091088_2017-01-07_final
2017-01-12 09:48:23	ga_ls7e_ard_3-0-0_094087_2017-01-12_final
2017-01-28 09:48:14	ga_ls7e_ard_3-0-0_094087_2017-01-28_final
2017-11-19 09:54:58	ga_ls7e_ard_3-0-0_095087_2017-11-19_final
2017-12-16 09:36:12	ga_ls7e_ard_3-0-0_092087_2017-12-16_final
2018-01-03 09:24:02	ga_ls7e_ard_3-0-0_090088_2018-01-02_final
2018-01-17 09:35:47	ga_ls7e_ard_3-0-0_092087_2018-01-17_final
2018-01-17 09:36:11	ga_ls7e_ard_3-0-0_092088_2018-01-17_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
2018-02-04 09:23:32	ga_ls7e_ard_3-0-0_090088_2018-02-03_final
2018-02-07 09:53:59	ga_ls7e_ard_3-0-0_095087_2018-02-07_final
2018-02-20 09:23:21	ga_ls7e_ard_3-0-0_090088_2018-02-19_final
2018-03-06 09:35:10	ga_ls7e_ard_3-0-0_092087_2018-03-06_final
2018-03-06 09:35:34	ga_ls7e_ard_3-0-0_092088_2018-03-06_final
2018-03-08 09:23:11	ga_ls7e_ard_3-0-0_090088_2018-03-07_final
2018-03-13 09:41:16	ga_ls7e_ard_3-0-0_093087_2018-03-13_final
2018-04-12 09:53:11	ga_ls7e_ard_3-0-0_095087_2018-04-12_final
2018-04-23 09:34:27	ga_ls7e_ard_3-0-0_092087_2018-04-23_final
2018-04-23 09:34:51	ga_ls7e_ard_3-0-0_092088_2018-04-23_final
2018-04-25 09:22:28	ga_ls7e_ard_3-0-0_090088_2018-04-24_final
2018-05-18 09:28:15	ga_ls7e_ard_3-0-0_091088_2018-05-17_final
2018-06-26 09:33:21	ga_ls7e_ard_3-0-0_092087_2018-06-26_final
2018-06-26 09:33:45	ga_ls7e_ard_3-0-0_092088_2018-06-26_final
2018-06-28 09:21:21	ga_ls7e_ard_3-0-0_090088_2018-06-27_final
2018-07-01 09:51:47	ga_ls7e_ard_3-0-0_095087_2018-07-01_final
2018-07-12 09:33:01	ga_ls7e_ard_3-0-0_092087_2018-07-12_final
2018-07-12 09:33:25	ga_ls7e_ard_3-0-0_092088_2018-07-12_final
2018-07-14 09:21:02	ga_ls7e_ard_3-0-0_090088_2018-07-13_final
2018-07-19 09:39:05	ga_ls7e_ard_3-1-0_093087_2018-07-19_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2018-10-25 09:24:39	ga_ls7e_ard_3-0-0_091087_2018-10-24_final
2018-11-15 09:42:43	ga_ls7e_ard_3-0-0_094087_2018-11-15_final
2018-11-17 09:30:19	ga_ls7e_ard_3-0-0_092087_2018-11-17_final
2018-11-17 09:30:43	ga_ls7e_ard_3-0-0_092088_2018-11-17_final
2018-12-10 09:35:54	ga_ls7e_ard_3-1-0_093087_2018-12-10_final
2018-12-12 09:23:29	ga_ls7e_ard_3-0-0_091087_2018-12-11_final
2018-12-12 09:23:53	ga_ls7e_ard_3-0-0_091088_2018-12-11_final
2018-12-21 09:17:27	ga_ls7e_ard_3-0-0_090088_2018-12-20_final
2019-03-16 09:32:57	ga_ls7e_ard_3-1-0_093087_2019-03-16_final
2019-03-16 09:33:21	ga_ls7e_ard_3-1-0_093088_2019-03-16_final
2019-03-18 09:20:31	ga_ls7e_ard_3-1-0_091087_2019-03-17_final
2019-03-18 09:20:55	ga_ls7e_ard_3-1-0_091088_2019-03-17_final
2019-04-08 09:38:21	ga_ls7e_ard_3-0-0_094087_2019-04-08_final
2019-04-10 09:25:55	ga_ls7e_ard_3-0-0_092087_2019-04-09_final
2019-04-10 09:26:19	ga_ls7e_ard_3-0-0_092088_2019-04-09_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
2019-04-28 09:13:18	ga_ls7e_ard_3-0-0_090088_2019-04-27_final
2019-05-17 09:43:03	ga_ls7e_ard_3-0-0_095087_2019-05-17_final
2019-05-19 09:31:01	ga_ls7e_ard_3-0-0_093088_2019-05-19_final
2019-05-21 09:18:11	ga_ls7e_ard_3-0-0_091087_2019-05-20_final
2019-05-21 09:18:35	ga_ls7e_ard_3-0-0_091088_2019-05-20_final
2019-05-26 09:36:32	ga_ls7e_ard_3-0-0_094087_2019-05-26_final
2019-06-15 09:11:30	ga_ls7e_ard_3-0-0_090088_2019-06-14_final
2019-06-20 09:29:28	ga_ls7e_ard_3-1-0_093087_2019-06-19_final
2019-06-20 09:29:52	ga_ls7e_ard_3-1-0_093088_2019-06-19_final
2019-06-22 09:17:02	ga_ls7e_ard_3-0-0_091087_2019-06-21_final
2019-06-22 09:17:26	ga_ls7e_ard_3-0-0_091088_2019-06-21_final
2019-06-27 09:35:23	ga_ls7e_ard_3-0-0_094087_2019-06-27_final
2019-07-08 09:16:49	ga_ls7e_ard_3-0-0_091088_2019-07-07_final
2019-08-23 09:26:55	ga_ls7e_ard_3-1-0_093087_2019-08-22_final
2019-08-25 09:14:28	ga_ls7e_ard_3-1-0_091087_2019-08-24_final
2019-08-25 09:14:52	ga_ls7e_ard_3-1-0_091088_2019-08-24_final
2019-08-30 09:32:48	ga_ls7e_ard_3-1-0_094087_2019-08-30_final
2019-10-05 09:06:55	ga_ls7e_ard_3-1-0_090088_2019-10-04_final
2019-10-24 09:36:37	ga_ls7e_ard_3-1-0_095087_2019-10-24_final
2019-10-28 09:11:43	ga_ls7e_ard_3-1-0_091087_2019-10-27_final
2019-10-28 09:12:07	ga_ls7e_ard_3-1-0_091088_2019-10-27_final
2019-11-06 09:05:32	ga_ls7e_ard_3-1-0_090088_2019-11-05_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
2019-11-29 09:10:15	ga_ls7e_ard_3-1-0_091087_2019-11-28_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