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
2015-09-08 09:20:58	ga_ls7e_ard_3-0-0_090086_2015-09-07_final
2015-09-11 09:52:18	ga_ls7e_ard_3-0-0_095087_2015-09-11_final
2015-09-13 09:39:33	ga_ls7e_ard_3-0-0_093086_2015-09-13_final
2015-09-13 09:39:57	ga_ls7e_ard_3-1-0_093087_2015-09-13_final
2015-09-15 09:27:12	ga_ls7e_ard_3-1-0_091086_2015-09-14_final
2015-09-20 09:46:10	ga_ls7e_ard_3-0-0_094087_2015-09-20_final
2015-10-06 09:46:13	ga_ls7e_ard_3-0-0_094087_2015-10-06_final
2015-10-13 09:52:09	ga_ls7e_ard_3-0-0_095086_2015-10-13_final
2015-10-15 09:40:14	ga_ls7e_ard_3-1-0_093087_2015-10-15_final
2015-12-16 09:53:35	ga_ls7e_ard_3-0-0_095087_2015-12-16_final
2015-12-18 09:41:15	ga_ls7e_ard_3-0-0_093087_2015-12-18_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
2016-02-11 09:48:04	ga_ls7e_ard_3-0-0_094087_2016-02-11_final
2016-02-13 09:35:19	ga_ls7e_ard_3-0-0_092086_2016-02-13_final
2016-02-13 09:35:43	ga_ls7e_ard_3-0-0_092087_2016-02-13_final
2016-02-15 09:22:58	ga_ls7e_ard_3-0-0_090086_2016-02-14_final
2016-02-18 09:53:52	ga_ls7e_ard_3-0-0_095086_2016-02-18_final
2016-02-20 09:41:30	ga_ls7e_ard_3-0-0_093086_2016-02-20_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
2017-02-27 10:00:14	ga_ls7e_ard_3-1-0_096086_2017-02-27_final
2017-03-01 09:48:17	ga_ls7e_ard_3-0-0_094087_2017-03-01_final
2017-03-03 09:35:57	ga_ls7e_ard_3-0-0_092087_2017-03-03_final
2017-03-30 09:17:09	ga_ls7e_ard_3-0-0_089086_2017-03-29_final
2017-04-27 09:42:27	ga_ls7e_ard_3-1-0_093087_2017-04-27_final
2017-04-29 09:29:42	ga_ls7e_ard_3-1-0_091086_2017-04-28_final
2017-04-29 09:30:06	ga_ls7e_ard_3-1-0_091087_2017-04-29_final
2017-05-01 09:17:21	ga_ls7e_ard_3-0-0_089086_2017-04-30_final
2017-05-02 10:00:37	ga_ls7e_ard_3-1-0_096086_2017-05-02_final
2017-05-13 09:42:07	ga_ls7e_ard_3-0-0_093086_2017-05-13_final
2017-05-13 09:42:31	ga_ls7e_ard_3-0-0_093087_2017-05-13_final
2017-05-17 09:17:24	ga_ls7e_ard_3-0-0_089086_2017-05-16_final
2017-05-22 09:36:21	ga_ls7e_ard_3-0-0_092087_2017-05-22_final
2017-06-30 09:42:41	ga_ls7e_ard_3-0-0_093087_2017-06-30_final
2017-07-02 09:29:55	ga_ls7e_ard_3-1-0_091086_2017-07-01_final
2017-07-02 09:30:19	ga_ls7e_ard_3-0-0_091087_2017-07-02_final
2017-07-16 09:42:17	ga_ls7e_ard_3-0-0_093086_2017-07-16_final
2017-07-18 09:30:20	ga_ls7e_ard_3-0-0_091087_2017-07-18_final
2017-07-20 09:17:34	ga_ls7e_ard_3-0-0_089086_2017-07-19_final
2017-07-21 10:00:50	ga_ls7e_ard_3-1-0_096086_2017-07-21_final
2017-07-30 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-07-30_final
2017-08-01 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-08-01_final
2017-08-17 09:42:14	ga_ls7e_ard_3-0-0_093086_2017-08-17_final
2017-08-17 09:42:38	ga_ls7e_ard_3-0-0_093087_2017-08-17_final
2017-08-19 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-08-19_final
2017-08-21 09:17:31	ga_ls7e_ard_3-0-0_089086_2017-08-20_final
2017-09-06 09:17:31	ga_ls7e_ard_3-0-0_089086_2017-09-05_final
2017-09-09 09:48:49	ga_ls7e_ard_3-0-0_094087_2017-09-09_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
2017-09-25 09:48:48	ga_ls7e_ard_3-0-0_094087_2017-09-25_final
2017-09-27 09:36:02	ga_ls7e_ard_3-0-0_092086_2017-09-27_final
2017-09-29 09:23:41	ga_ls7e_ard_3-0-0_090086_2017-09-28_final
2017-10-15 09:23:43	ga_ls7e_ard_3-0-0_090086_2017-10-14_final
2017-10-18 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-10-18_final
2017-10-18 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-10-18_final
2017-11-09 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-11-08_final
2017-11-10 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-11-10_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
2018-04-12 09:53:11	ga_ls7e_ard_3-0-0_095087_2018-04-12_final
2018-04-16 09:28:00	ga_ls7e_ard_3-1-0_091086_2018-04-15_final
2018-04-18 09:15:36	ga_ls7e_ard_3-0-0_089086_2018-04-17_final
2018-04-19 09:58:51	ga_ls7e_ard_3-1-0_096086_2018-04-19_final
2018-04-21 09:46:27	ga_ls7e_ard_3-0-0_094086_2018-04-21_final
2018-04-21 09:46:51	ga_ls7e_ard_3-0-0_094087_2018-04-21_final
2018-05-27 09:21:08	ga_ls7e_ard_3-0-0_090086_2018-05-26_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
2018-06-15 09:51:42	ga_ls7e_ard_3-0-0_095086_2018-06-15_final
2018-06-17 09:39:42	ga_ls7e_ard_3-1-0_093087_2018-06-17_final
2018-06-19 09:26:54	ga_ls7e_ard_3-1-0_091086_2018-06-18_final
2018-06-19 09:27:18	ga_ls7e_ard_3-0-0_091087_2018-06-18_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
2018-08-25 09:56:33	ga_ls7e_ard_3-1-0_096086_2018-08-25_final
2018-08-27 09:44:09	ga_ls7e_ard_3-0-0_094086_2018-08-27_final
2018-08-27 09:44:33	ga_ls7e_ard_3-0-0_094087_2018-08-27_final
2018-08-29 09:31:45	ga_ls7e_ard_3-0-0_092086_2018-08-29_final
2018-08-29 09:32:08	ga_ls7e_ard_3-0-0_092087_2018-08-29_final
2019-02-14 09:21:08	ga_ls7e_ard_3-1-0_091086_2019-02-13_final
2019-02-14 09:21:32	ga_ls7e_ard_3-0-0_091087_2019-02-13_final
2019-02-16 09:08:43	ga_ls7e_ard_3-1-0_089086_2019-02-15_final
2019-05-10 09:37:09	ga_ls7e_ard_3-0-0_094087_2019-05-10_final
2019-05-12 09:24:19	ga_ls7e_ard_3-0-0_092086_2019-05-11_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