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
2009-11-10 09:12:26	ga_ls7e_ard_3-0-0_090088_2009-11-09_final
2015-08-23 09:21:44	ga_ls7e_ard_3-1-0_090088_2015-08-22_final
2015-09-08 09:21:46	ga_ls7e_ard_3-0-0_090088_2015-09-07_final
2015-09-13 09:40:21	ga_ls7e_ard_3-0-0_093088_2015-09-13_final
2015-09-24 09:21:51	ga_ls7e_ard_3-0-0_090088_2015-09-23_final
2015-10-15 09:40:38	ga_ls7e_ard_3-0-0_093088_2015-10-15_final
2015-10-24 09:34:36	ga_ls7e_ard_3-0-0_092088_2015-10-24_final
2015-11-02 09:28:32	ga_ls7e_ard_3-0-0_091088_2015-11-01_final
2016-01-03 09:41:52	ga_ls7e_ard_3-0-0_093088_2016-01-03_final
2016-02-29 09:36:11	ga_ls7e_ard_3-0-0_092088_2016-02-29_final
2016-03-02 09:23:51	ga_ls7e_ard_3-0-0_090088_2016-03-01_final
2016-03-16 09:36:21	ga_ls7e_ard_3-0-0_092088_2016-03-16_final
2016-04-01 09:36:25	ga_ls7e_ard_3-0-0_092088_2016-04-01_final
2016-05-05 09:24:16	ga_ls7e_ard_3-0-0_090088_2016-05-04_final
2016-05-10 09:42:49	ga_ls7e_ard_3-0-0_093088_2016-05-10_final
2016-05-21 09:24:19	ga_ls7e_ard_3-0-0_090088_2016-05-20_final
2016-06-04 09:36:46	ga_ls7e_ard_3-0-0_092088_2016-06-04_final
2016-07-08 09:24:27	ga_ls7e_ard_3-0-0_090088_2016-07-07_final
2016-07-13 09:42:59	ga_ls7e_ard_3-0-0_093088_2016-07-13_final
2016-07-15 09:30:38	ga_ls7e_ard_3-1-0_091088_2016-07-15_final
2016-07-24 09:24:29	ga_ls7e_ard_3-0-0_090088_2016-07-23_final
2016-07-31 09:30:41	ga_ls7e_ard_3-0-0_091088_2016-07-31_final
2016-08-07 09:36:52	ga_ls7e_ard_3-0-0_092088_2016-08-07_final
2016-08-09 09:24:31	ga_ls7e_ard_3-0-0_090088_2016-08-08_final
2016-08-14 09:43:03	ga_ls7e_ard_3-0-0_093088_2016-08-14_final
2016-08-16 09:30:41	ga_ls7e_ard_3-0-0_091088_2016-08-16_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
2016-09-17 09:30:47	ga_ls7e_ard_3-0-0_091088_2016-09-17_final
2016-09-24 09:36:59	ga_ls7e_ard_3-0-0_092088_2016-09-24_final
2016-09-26 09:24:38	ga_ls7e_ard_3-0-0_090088_2016-09-25_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
2016-10-19 09:30:24	ga_ls7e_ard_3-0-0_091087_2016-10-19_final
2016-10-19 09:30:48	ga_ls7e_ard_3-0-0_091088_2016-10-19_final
2016-10-28 09:24:35	ga_ls7e_ard_3-0-0_090088_2016-10-27_final
2016-11-04 09:30:42	ga_ls7e_ard_3-0-0_091088_2016-11-04_final
2016-11-13 09:24:27	ga_ls7e_ard_3-0-0_090088_2016-11-12_final
2016-11-18 09:42:58	ga_ls7e_ard_3-0-0_093088_2016-11-18_final
2016-11-20 09:30:36	ga_ls7e_ard_3-0-0_091088_2016-11-20_final
2016-12-15 09:24:20	ga_ls7e_ard_3-0-0_090088_2016-12-14_final
2016-12-20 09:42:50	ga_ls7e_ard_3-0-0_093088_2016-12-20_final
2016-12-22 09:30:28	ga_ls7e_ard_3-0-0_091088_2016-12-22_final
2017-01-23 09:30:07	ga_ls7e_ard_3-1-0_091088_2017-01-23_final
2017-02-01 09:23:53	ga_ls7e_ard_3-0-0_090088_2017-01-31_final
2017-02-15 09:36:12	ga_ls7e_ard_3-0-0_092088_2017-02-15_final
2017-02-17 09:23:52	ga_ls7e_ard_3-0-0_090088_2017-02-16_final
2017-02-22 09:42:27	ga_ls7e_ard_3-0-0_093088_2017-02-22_final
2017-11-30 09:36:45	ga_ls7e_ard_3-0-0_092088_2017-11-30_final
2017-12-09 09:30:30	ga_ls7e_ard_3-0-0_091088_2017-12-09_final
2018-01-03 09:24:02	ga_ls7e_ard_3-0-0_090088_2018-01-02_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
2018-02-20 09:23:21	ga_ls7e_ard_3-0-0_090088_2018-02-19_final
2018-03-06 09:35:34	ga_ls7e_ard_3-0-0_092088_2018-03-06_final
2018-04-07 09:35:07	ga_ls7e_ard_3-0-0_092088_2018-04-07_final
2018-04-09 09:22:44	ga_ls7e_ard_3-0-0_090088_2018-04-08_final
2018-04-16 09:28:48	ga_ls7e_ard_3-0-0_091088_2018-04-15_final
2018-05-18 09:28:15	ga_ls7e_ard_3-0-0_091088_2018-05-17_final
2018-05-27 09:21:56	ga_ls7e_ard_3-0-0_090088_2018-05-26_final
2018-06-01 09:40:23	ga_ls7e_ard_3-0-0_093088_2018-06-01_final
2018-06-17 09:40:06	ga_ls7e_ard_3-0-0_093088_2018-06-17_final
2018-06-19 09:27:42	ga_ls7e_ard_3-0-0_091088_2018-06-18_final
2018-06-28 09:21:21	ga_ls7e_ard_3-0-0_090088_2018-06-27_final
2018-08-15 09:20:28	ga_ls7e_ard_3-0-0_090088_2018-08-14_final
2019-06-13 09:23:33	ga_ls7e_ard_3-0-0_092087_2019-06-12_final
2019-06-13 09:23:56	ga_ls7e_ard_3-0-0_092088_2019-06-12_final
2019-06-15 09:11:30	ga_ls7e_ard_3-0-0_090088_2019-06-14_final
2019-06-20 09:29:52	ga_ls7e_ard_3-1-0_093088_2019-06-19_final
2019-06-22 09:17:26	ga_ls7e_ard_3-0-0_091088_2019-06-21_final
2019-07-06 09:29:16	ga_ls7e_ard_3-0-0_093088_2019-07-05_final
2019-07-08 09:16:49	ga_ls7e_ard_3-0-0_091088_2019-07-07_final
2019-08-07 09:27:59	ga_ls7e_ard_3-0-0_093088_2019-08-06_final
2019-08-09 09:15:32	ga_ls7e_ard_3-0-0_091088_2019-08-08_final
2019-08-18 09:08:59	ga_ls7e_ard_3-0-0_090088_2019-08-17_final
2019-08-25 09:14:52	ga_ls7e_ard_3-1-0_091088_2019-08-24_final
2019-09-03 09:08:18	ga_ls7e_ard_3-1-0_090088_2019-09-02_final
2019-09-10 09:14:11	ga_ls7e_ard_3-1-0_091088_2019-09-09_final
2019-09-17 09:20:03	ga_ls7e_ard_3-1-0_092088_2019-09-16_final
2019-09-24 09:25:55	ga_ls7e_ard_3-1-0_093088_2019-09-23_final
2019-09-26 09:13:28	ga_ls7e_ard_3-1-0_091088_2019-09-25_final
2019-10-05 09:06:55	ga_ls7e_ard_3-1-0_090088_2019-10-04_final
2019-10-08 09:37:18	ga_ls7e_ard_3-1-0_095087_2019-10-08_final
2019-10-10 09:25:15	ga_ls7e_ard_3-1-0_093088_2019-10-09_final
2019-10-12 09:12:49	ga_ls7e_ard_3-1-0_091088_2019-10-11_final
2019-11-04 09:17:59	ga_ls7e_ard_3-1-0_092088_2019-11-03_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 09:11:24	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 09:10:38	ga_ls7e_ard_3-1-0_091088_2019-11-28_final
2019-12-06 09:16:29	ga_ls7e_ard_3-1-0_092088_2019-12-05_final
2019-12-08 09:04:01	ga_ls7e_ard_3-1-0_090088_2019-12-07_final
2019-12-22 09:15:40	ga_ls7e_ard_3-1-0_092088_2019-12-21_final
2019-12-24 09:03:12	ga_ls7e_ard_3-1-0_090088_2019-12-23_final
2019-12-29 09:21:29	ga_ls7e_ard_3-1-0_093088_2019-12-28_final
2019-12-31 09:09:01	ga_ls7e_ard_3-1-0_091088_2019-12-30_final
2020-01-09 09:02:22	ga_ls7e_ard_3-1-0_090088_2020-01-08_final
2020-01-30 09:19:53	ga_ls7e_ard_3-1-0_093088_2020-01-29_final
2020-02-08 09:12:50	ga_ls7e_ard_3-1-0_092087_2020-02-07_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