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
2015-08-14 09:27:06	ga_ls7e_ard_3-1-0_091086_2015-08-13_final
2015-08-14 09:27:30	ga_ls7e_ard_3-0-0_091087_2015-08-13_final
2015-08-16 09:14:45	ga_ls7e_ard_3-0-0_089086_2015-08-15_final
2015-09-08 09:20:58	ga_ls7e_ard_3-0-0_090086_2015-09-07_final
2015-12-25 09:47:07	ga_ls7e_ard_3-0-0_094086_2015-12-25_final
2015-12-25 09:47:31	ga_ls7e_ard_3-0-0_094087_2015-12-25_final
2015-12-27 09:35:10	ga_ls7e_ard_3-0-0_092087_2015-12-27_final
2016-03-14 09:48:18	ga_ls7e_ard_3-0-0_094087_2016-03-14_final
2016-03-16 09:35:33	ga_ls7e_ard_3-0-0_092086_2016-03-16_final
2016-03-16 09:35:57	ga_ls7e_ard_3-0-0_092087_2016-03-16_final
2016-04-12 09:17:09	ga_ls7e_ard_3-0-0_089086_2016-04-11_final
2016-04-15 09:48:28	ga_ls7e_ard_3-0-0_094087_2016-04-15_final
2016-04-24 09:42:22	ga_ls7e_ard_3-1-0_093087_2016-04-24_final
2016-04-26 09:29:37	ga_ls7e_ard_3-1-0_091086_2016-04-25_final
2016-04-28 09:17:16	ga_ls7e_ard_3-0-0_089086_2016-04-27_final
2016-05-03 09:36:14	ga_ls7e_ard_3-0-0_092087_2016-05-03_final
2017-09-16 09:54:58	ga_ls7e_ard_3-0-0_095087_2017-09-16_final
2017-09-18 09:42:12	ga_ls7e_ard_3-0-0_093086_2017-09-18_final
2017-09-18 09:42:36	ga_ls7e_ard_3-1-0_093087_2017-09-18_final
2017-09-20 09:30:14	ga_ls7e_ard_3-0-0_091087_2017-09-20_final
2017-10-04 09:42:14	ga_ls7e_ard_3-0-0_093086_2017-10-04_final
2017-10-04 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-10-04_final
2017-10-06 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-10-06_final
2017-10-08 09:17:31	ga_ls7e_ard_3-0-0_089086_2017-10-07_final
2017-10-11 09:48:50	ga_ls7e_ard_3-0-0_094087_2017-10-11_final
2017-11-03 09:55:01	ga_ls7e_ard_3-0-0_095087_2017-11-03_final
2017-11-05 09:42:39	ga_ls7e_ard_3-1-0_093087_2017-11-05_final
2017-11-19 09:54:58	ga_ls7e_ard_3-0-0_095087_2017-11-19_final
2017-11-21 09:42:12	ga_ls7e_ard_3-0-0_093086_2017-11-21_final
2017-11-21 09:42:35	ga_ls7e_ard_3-1-0_093087_2017-11-21_final
2017-11-23 09:30:13	ga_ls7e_ard_3-0-0_091087_2017-11-23_final
2017-11-25 09:17:27	ga_ls7e_ard_3-0-0_089086_2017-11-24_final
2017-12-14 09:48:11	ga_ls7e_ard_3-0-0_094086_2017-12-14_final
2017-12-16 09:35:48	ga_ls7e_ard_3-0-0_092086_2017-12-16_final
2017-12-16 09:36:12	ga_ls7e_ard_3-0-0_092087_2017-12-16_final
2017-12-18 09:23:26	ga_ls7e_ard_3-0-0_090086_2017-12-17_final
2018-01-24 09:41:27	ga_ls7e_ard_3-0-0_093086_2018-01-24_final
2018-01-24 09:41:51	ga_ls7e_ard_3-1-0_093087_2018-01-24_final
2018-01-26 09:29:04	ga_ls7e_ard_3-1-0_091086_2018-01-25_final
2018-01-28 09:16:40	ga_ls7e_ard_3-0-0_089086_2018-01-27_final
2018-01-31 09:47:31	ga_ls7e_ard_3-0-0_094086_2018-01-31_final
2018-01-31 09:47:55	ga_ls7e_ard_3-0-0_094087_2018-01-31_final
2018-02-02 09:35:08	ga_ls7e_ard_3-0-0_092086_2018-02-02_final
2018-02-02 09:35:32	ga_ls7e_ard_3-0-0_092087_2018-02-02_final
2018-02-04 09:22:44	ga_ls7e_ard_3-0-0_090086_2018-02-03_final
2018-02-07 09:53:35	ga_ls7e_ard_3-0-0_095086_2018-02-07_final
2018-02-07 09:53:59	ga_ls7e_ard_3-0-0_095087_2018-02-07_final
2018-02-16 09:47:19	ga_ls7e_ard_3-0-0_094086_2018-02-16_final
2018-02-16 09:47:43	ga_ls7e_ard_3-0-0_094087_2018-02-16_final
2018-02-18 09:34:56	ga_ls7e_ard_3-0-0_092086_2018-02-18_final
2018-02-18 09:35:20	ga_ls7e_ard_3-0-0_092087_2018-02-18_final
2018-02-27 09:28:40	ga_ls7e_ard_3-1-0_091086_2018-02-26_final
2018-02-27 09:29:04	ga_ls7e_ard_3-0-0_091087_2018-02-26_final
2018-03-01 09:16:17	ga_ls7e_ard_3-0-0_089086_2018-02-28_final
2018-03-13 09:40:52	ga_ls7e_ard_3-0-0_093086_2018-03-13_final
2018-03-13 09:41:16	ga_ls7e_ard_3-0-0_093087_2018-03-13_final
2018-03-15 09:28:52	ga_ls7e_ard_3-0-0_091087_2018-03-14_final
2018-03-24 09:22:10	ga_ls7e_ard_3-0-0_090086_2018-03-23_final
2018-04-09 09:21:56	ga_ls7e_ard_3-0-0_090086_2018-04-08_final
2018-04-12 09:53:11	ga_ls7e_ard_3-0-0_095087_2018-04-12_final
2018-04-23 09:34:03	ga_ls7e_ard_3-0-0_092086_2018-04-23_final
2018-04-23 09:34:27	ga_ls7e_ard_3-0-0_092087_2018-04-23_final
2018-04-25 09:21:40	ga_ls7e_ard_3-0-0_090086_2018-04-24_final
2018-05-04 09:15:19	ga_ls7e_ard_3-0-0_089086_2018-05-03_final
2018-05-07 09:46:33	ga_ls7e_ard_3-0-0_094087_2018-05-07_final
2018-05-09 09:33:45	ga_ls7e_ard_3-0-0_092086_2018-05-09_final
2018-05-09 09:34:09	ga_ls7e_ard_3-0-0_092087_2018-05-09_final
2018-05-11 09:21:22	ga_ls7e_ard_3-0-0_090086_2018-05-10_final
2018-05-30 09:51:59	ga_ls7e_ard_3-0-0_095086_2018-05-30_final
2018-05-30 09:52:23	ga_ls7e_ard_3-0-0_095087_2018-05-30_final
2018-06-01 09:39:35	ga_ls7e_ard_3-0-0_093086_2018-06-01_final
2018-06-01 09:39:59	ga_ls7e_ard_3-0-0_093087_2018-06-01_final
2018-07-12 09:32:38	ga_ls7e_ard_3-0-0_092086_2018-07-12_final
2018-07-12 09:33:01	ga_ls7e_ard_3-0-0_092087_2018-07-12_final
2018-07-14 09:20:14	ga_ls7e_ard_3-0-0_090086_2018-07-13_final
2018-08-02 09:50:48	ga_ls7e_ard_3-0-0_095086_2018-08-02_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2018-08-04 09:38:25	ga_ls7e_ard_3-0-0_093086_2018-08-04_final
2018-08-04 09:38:48	ga_ls7e_ard_3-0-0_093087_2018-08-04_final
2018-08-06 09:26:01	ga_ls7e_ard_3-1-0_091086_2018-08-05_final
2018-08-11 09:44:28	ga_ls7e_ard_3-0-0_094086_2018-08-11_final
2018-08-11 09:44:51	ga_ls7e_ard_3-0-0_094087_2018-08-11_final
2018-08-13 09:32:28	ga_ls7e_ard_3-0-0_092087_2018-08-13_final
2018-08-15 09:19:40	ga_ls7e_ard_3-0-0_090086_2018-08-14_final
2018-08-20 09:38:06	ga_ls7e_ard_3-0-0_093086_2018-08-20_final
2018-08-20 09:38:30	ga_ls7e_ard_3-1-0_093087_2018-08-20_final
2018-08-22 09:25:42	ga_ls7e_ard_3-1-0_091086_2018-08-21_final
2018-08-22 09:26:06	ga_ls7e_ard_3-0-0_091087_2018-08-21_final
2018-08-24 09:13:18	ga_ls7e_ard_3-0-0_089086_2018-08-23_final
2018-09-03 09:50:11	ga_ls7e_ard_3-0-0_095086_2018-09-03_final
2018-09-05 09:37:46	ga_ls7e_ard_3-0-0_093086_2018-09-05_final
2018-09-05 09:38:10	ga_ls7e_ard_3-0-0_093087_2018-09-05_final
2018-09-07 09:25:22	ga_ls7e_ard_3-1-0_091086_2018-09-06_final
2018-09-07 09:25:46	ga_ls7e_ard_3-0-0_091087_2018-09-06_final
2018-10-18 09:18:13	ga_ls7e_ard_3-0-0_090086_2018-10-17_final
2018-11-01 09:30:17	ga_ls7e_ard_3-0-0_092086_2018-11-01_final
2018-11-03 09:17:53	ga_ls7e_ard_3-0-0_090086_2018-11-02_final
2018-11-10 09:23:54	ga_ls7e_ard_3-1-0_091086_2018-11-09_final
2018-11-10 09:24:18	ga_ls7e_ard_3-0-0_091087_2018-11-09_final
2018-11-12 09:11:30	ga_ls7e_ard_3-0-0_089086_2018-11-11_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