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
2014-11-15 09:26:19	ga_ls7e_ard_3-0-0_091088_2014-11-14_final
2014-11-15 09:26:43	ga_ls7e_ard_3-0-0_091089_2014-11-14_final
2015-02-10 09:32:56	ga_ls7e_ard_3-0-0_092088_2015-02-10_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
2015-03-05 09:39:19	ga_ls7e_ard_3-0-0_093088_2015-03-05_final
2015-05-19 09:21:45	ga_ls7e_ard_3-0-0_090089_2015-05-18_final
2015-06-18 09:34:16	ga_ls7e_ard_3-0-0_092089_2015-06-18_final
2015-06-20 09:21:30	ga_ls7e_ard_3-0-0_090088_2015-06-19_final
2015-06-20 09:21:54	ga_ls7e_ard_3-0-0_090089_2015-06-19_final
2016-05-21 09:24:19	ga_ls7e_ard_3-0-0_090088_2016-05-20_final
2016-05-21 09:24:43	ga_ls7e_ard_3-0-0_090089_2016-05-20_final
2016-06-04 09:36:46	ga_ls7e_ard_3-0-0_092088_2016-06-04_final
2016-06-04 09:37:10	ga_ls7e_ard_3-0-0_092089_2016-06-04_final
2016-07-24 09:24:29	ga_ls7e_ard_3-0-0_090088_2016-07-23_final
2016-07-24 09:24:53	ga_ls7e_ard_3-0-0_090089_2016-07-23_final
2016-09-24 09:36:59	ga_ls7e_ard_3-0-0_092088_2016-09-24_final
2016-09-24 09:37:23	ga_ls7e_ard_3-0-0_092089_2016-09-24_final
2016-10-03 09:31:13	ga_ls7e_ard_3-0-0_091089_2016-10-03_final
2016-10-19 09:31:12	ga_ls7e_ard_3-0-0_091089_2016-10-19_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
2016-11-13 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-11-12_final
2016-11-27 09:37:10	ga_ls7e_ard_3-0-0_092089_2016-11-27_final
2016-11-29 09:24:24	ga_ls7e_ard_3-0-0_090088_2016-11-28_final
2016-11-29 09:24:48	ga_ls7e_ard_3-0-0_090089_2016-11-28_final
2016-12-04 09:42:55	ga_ls7e_ard_3-0-0_093088_2016-12-04_final
2016-12-06 09:30:33	ga_ls7e_ard_3-0-0_091088_2016-12-06_final
2016-12-06 09:30:57	ga_ls7e_ard_3-0-0_091089_2016-12-06_final
2017-01-23 09:30:07	ga_ls7e_ard_3-1-0_091088_2017-01-23_final
2017-01-23 09:30:31	ga_ls7e_ard_3-0-0_091089_2017-01-23_final
2017-06-25 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-06-24_final
2017-07-27 09:24:32	ga_ls7e_ard_3-0-0_090088_2017-07-26_final
2017-07-27 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-07-26_final
2017-09-04 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-09-04_final
2017-09-04 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-09-04_final
2017-11-30 09:36:45	ga_ls7e_ard_3-0-0_092088_2017-11-30_final
2017-11-30 09:37:09	ga_ls7e_ard_3-0-0_092089_2017-11-30_final
2017-12-07 09:42:52	ga_ls7e_ard_3-0-0_093088_2017-12-07_final
2018-02-04 09:23:32	ga_ls7e_ard_3-0-0_090088_2018-02-03_final
2018-02-04 09:23:56	ga_ls7e_ard_3-0-0_090089_2018-02-03_final
2018-02-20 09:23:21	ga_ls7e_ard_3-0-0_090088_2018-02-19_final
2018-02-20 09:23:45	ga_ls7e_ard_3-0-0_090089_2018-02-19_final
2018-03-31 09:29:03	ga_ls7e_ard_3-0-0_091088_2018-03-30_final
2018-03-31 09:29:27	ga_ls7e_ard_3-0-0_091089_2018-03-30_final
2018-04-07 09:35:07	ga_ls7e_ard_3-0-0_092088_2018-04-07_final
2018-04-07 09:35:31	ga_ls7e_ard_3-0-0_092089_2018-04-07_final
2018-04-16 09:28:48	ga_ls7e_ard_3-0-0_091088_2018-04-15_final
2018-04-16 09:29:12	ga_ls7e_ard_3-0-0_091089_2018-04-15_final
2018-05-27 09:21:56	ga_ls7e_ard_3-0-0_090088_2018-05-26_final
2018-05-27 09:22:20	ga_ls7e_ard_3-0-0_090089_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
2018-08-15 09:20:28	ga_ls7e_ard_3-0-0_090088_2018-08-14_final
2018-08-15 09:20:52	ga_ls7e_ard_3-0-0_090089_2018-08-14_final
2018-08-22 09:26:30	ga_ls7e_ard_3-0-0_091088_2018-08-21_final
2018-08-22 09:26:54	ga_ls7e_ard_3-0-0_091089_2018-08-21_final
2018-08-29 09:32:32	ga_ls7e_ard_3-0-0_092088_2018-08-29_final
2018-08-29 09:32:56	ga_ls7e_ard_3-0-0_092089_2018-08-29_final
2018-09-07 09:26:10	ga_ls7e_ard_3-0-0_091088_2018-09-06_final
2018-09-07 09:26:34	ga_ls7e_ard_3-0-0_091089_2018-09-06_final
2019-07-22 09:28:38	ga_ls7e_ard_3-0-0_093088_2019-07-21_final
2019-07-24 09:16:11	ga_ls7e_ard_3-0-0_091088_2019-07-23_final
2019-07-24 09:16:35	ga_ls7e_ard_3-0-0_091089_2019-07-23_final
2019-07-31 09:22:05	ga_ls7e_ard_3-0-0_092088_2019-07-30_final
2019-07-31 09:22:29	ga_ls7e_ard_3-0-0_092089_2019-07-30_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
2019-08-09 09:15:56	ga_ls7e_ard_3-0-0_091089_2019-08-08_final
2019-08-18 09:08:59	ga_ls7e_ard_3-0-0_090088_2019-08-17_final
2019-08-18 09:09:23	ga_ls7e_ard_3-0-0_090089_2019-08-17_final
2019-09-10 09:14:11	ga_ls7e_ard_3-1-0_091088_2019-09-09_final
2019-09-10 09:14:34	ga_ls7e_ard_3-1-0_091089_2019-09-09_final
2019-09-19 09:07:36	ga_ls7e_ard_3-1-0_090088_2019-09-18_final
2019-09-19 09:08:00	ga_ls7e_ard_3-1-0_090089_2019-09-18_final
2019-09-24 09:25:55	ga_ls7e_ard_3-1-0_093088_2019-09-23_final
2019-10-03 09:19:22	ga_ls7e_ard_3-1-0_092088_2019-10-02_final
2019-10-03 09:19:46	ga_ls7e_ard_3-1-0_092089_2019-10-02_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
2019-10-12 09:13:12	ga_ls7e_ard_3-1-0_091089_2019-10-11_final
2019-10-19 09:18:42	ga_ls7e_ard_3-1-0_092088_2019-10-18_final
2019-10-21 09:06:15	ga_ls7e_ard_3-1-0_090088_2019-10-20_final
2019-10-21 09:06:39	ga_ls7e_ard_3-1-0_090089_2019-10-20_final
2019-11-04 09:17:59	ga_ls7e_ard_3-1-0_092088_2019-11-03_final
2019-11-04 09:18:23	ga_ls7e_ard_3-1-0_092089_2019-11-03_final
2019-12-06 09:16:29	ga_ls7e_ard_3-1-0_092088_2019-12-05_final
2019-12-06 09:16:53	ga_ls7e_ard_3-1-0_092089_2019-12-05_final
2019-12-08 09:04:01	ga_ls7e_ard_3-1-0_090088_2019-12-07_final
2019-12-08 09:04:25	ga_ls7e_ard_3-1-0_090089_2019-12-07_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
2019-12-31 09:09:25	ga_ls7e_ard_3-1-0_091089_2019-12-30_final
2020-01-09 09:02:22	ga_ls7e_ard_3-1-0_090088_2020-01-08_final
2020-01-09 09:02:46	ga_ls7e_ard_3-1-0_090089_2020-01-08_final
2020-01-14 09:20:40	ga_ls7e_ard_3-1-0_093088_2020-01-13_final
2020-01-16 09:08:13	ga_ls7e_ard_3-1-0_091088_2020-01-15_final
2020-01-16 09:08:37	ga_ls7e_ard_3-1-0_091089_2020-01-15_final
2020-01-25 09:01:35	ga_ls7e_ard_3-1-0_090088_2020-01-24_final
2020-01-25 09:01:59	ga_ls7e_ard_3-1-0_090089_2020-01-24_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