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
2014-11-29 09:38:46	ga_ls7e_ard_3-0-0_093088_2014-11-29_final
2014-12-24 09:32:47	ga_ls7e_ard_3-0-0_092088_2014-12-24_final
2014-12-26 09:20:25	ga_ls7e_ard_3-0-0_090088_2014-12-25_final
2015-01-02 09:26:35	ga_ls7e_ard_3-0-0_091088_2015-01-01_final
2015-01-16 09:39:00	ga_ls7e_ard_3-0-0_093088_2015-01-16_final
2015-01-25 09:32:51	ga_ls7e_ard_3-0-0_092088_2015-01-25_final
2015-03-05 09:39:19	ga_ls7e_ard_3-0-0_093088_2015-03-05_final
2015-03-14 09:33:11	ga_ls7e_ard_3-0-0_092088_2015-03-14_final
2015-04-15 09:33:28	ga_ls7e_ard_3-0-0_092088_2015-04-15_final
2015-04-17 09:21:07	ga_ls7e_ard_3-0-0_090088_2015-04-16_final
2015-05-10 09:27:27	ga_ls7e_ard_3-0-0_091088_2015-05-09_final
2015-05-19 09:21:21	ga_ls7e_ard_3-0-0_090088_2015-05-18_final
2015-06-02 09:33:46	ga_ls7e_ard_3-0-0_092088_2015-06-02_final
2015-06-04 09:21:26	ga_ls7e_ard_3-0-0_090088_2015-06-03_final
2015-06-09 09:40:01	ga_ls7e_ard_3-0-0_093088_2015-06-09_final
2015-06-11 09:27:40	ga_ls7e_ard_3-0-0_091088_2015-06-10_final
2015-06-18 09:33:52	ga_ls7e_ard_3-0-0_092088_2015-06-18_final
2015-06-20 09:21:30	ga_ls7e_ard_3-0-0_090088_2015-06-19_final
2015-06-25 09:40:02	ga_ls7e_ard_3-0-0_093088_2015-06-25_final
2015-06-27 09:27:41	ga_ls7e_ard_3-0-0_091088_2015-06-26_final
2015-10-08 09:34:18	ga_ls7e_ard_3-0-0_092088_2015-10-08_final
2015-10-10 09:21:59	ga_ls7e_ard_3-0-0_090088_2015-10-09_final
2015-11-27 09:22:46	ga_ls7e_ard_3-0-0_090088_2015-11-26_final
2015-12-02 09:41:21	ga_ls7e_ard_3-0-0_093088_2015-12-02_final
2015-12-04 09:29:02	ga_ls7e_ard_3-0-0_091088_2015-12-03_final
2015-12-11 09:35:21	ga_ls7e_ard_3-0-0_092088_2015-12-11_final
2015-12-13 09:23:02	ga_ls7e_ard_3-0-0_090088_2015-12-12_final
2015-12-18 09:41:39	ga_ls7e_ard_3-0-0_093088_2015-12-18_final
2015-12-20 09:29:19	ga_ls7e_ard_3-0-0_091088_2015-12-19_final
2015-12-27 09:35:34	ga_ls7e_ard_3-0-0_092088_2015-12-27_final
2015-12-29 09:23:14	ga_ls7e_ard_3-0-0_090088_2015-12-28_final
2016-01-03 09:41:52	ga_ls7e_ard_3-0-0_093088_2016-01-03_final
2016-01-12 09:35:50	ga_ls7e_ard_3-0-0_092088_2016-01-12_final
2016-02-13 09:36:07	ga_ls7e_ard_3-0-0_092088_2016-02-13_final
2016-04-01 09:36:25	ga_ls7e_ard_3-0-0_092088_2016-04-01_final
2016-04-17 09:36:32	ga_ls7e_ard_3-0-0_092088_2016-04-17_final
2016-04-19 09:24:11	ga_ls7e_ard_3-0-0_090088_2016-04-18_final
2016-08-09 09:24:31	ga_ls7e_ard_3-0-0_090088_2016-08-08_final
2016-09-26 09:24:38	ga_ls7e_ard_3-0-0_090088_2016-09-25_final
2016-10-28 09:24:35	ga_ls7e_ard_3-0-0_090088_2016-10-27_final
2017-03-05 09:24:00	ga_ls7e_ard_3-0-0_090088_2017-03-04_final
2017-03-10 09:42:34	ga_ls7e_ard_3-0-0_093088_2017-03-10_final
2017-04-11 09:42:44	ga_ls7e_ard_3-0-0_093088_2017-04-11_final
2017-04-13 09:30:24	ga_ls7e_ard_3-0-0_091088_2017-04-13_final
2017-04-27 09:42:51	ga_ls7e_ard_3-0-0_093088_2017-04-27_final
2017-05-08 09:24:21	ga_ls7e_ard_3-0-0_090088_2017-05-07_final
2017-05-13 09:42:55	ga_ls7e_ard_3-0-0_093088_2017-05-13_final
2017-05-15 09:30:33	ga_ls7e_ard_3-0-0_091088_2017-05-15_final
2017-05-22 09:36:45	ga_ls7e_ard_3-0-0_092088_2017-05-22_final
2017-05-29 09:42:58	ga_ls7e_ard_3-0-0_093088_2017-05-29_final
2017-05-31 09:30:37	ga_ls7e_ard_3-0-0_091088_2017-05-31_final
2017-06-09 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-06-08_final
2017-06-16 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-06-16_final
2017-06-23 09:36:53	ga_ls7e_ard_3-0-0_092088_2017-06-23_final
2017-06-30 09:43:05	ga_ls7e_ard_3-0-0_093088_2017-06-30_final
2017-07-02 09:30:43	ga_ls7e_ard_3-0-0_091088_2017-07-02_final
2017-07-27 09:24:32	ga_ls7e_ard_3-0-0_090088_2017-07-26_final
2017-08-03 09:30:42	ga_ls7e_ard_3-0-0_091088_2017-08-03_final
2017-08-10 09:36:52	ga_ls7e_ard_3-0-0_092088_2017-08-10_final
2017-08-12 09:24:30	ga_ls7e_ard_3-0-0_090088_2017-08-11_final
2017-08-28 09:24:30	ga_ls7e_ard_3-0-0_090088_2017-08-27_final
2017-09-20 09:30:38	ga_ls7e_ard_3-0-0_091088_2017-09-20_final
2017-09-29 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-09-28_final
2017-10-04 09:43:02	ga_ls7e_ard_3-0-0_093088_2017-10-04_final
2017-10-06 09:30:40	ga_ls7e_ard_3-0-0_091088_2017-10-06_final
2017-10-15 09:24:31	ga_ls7e_ard_3-0-0_090088_2017-10-14_final
2017-10-20 09:43:04	ga_ls7e_ard_3-0-0_093088_2017-10-20_final
2017-11-05 09:43:03	ga_ls7e_ard_3-0-0_093088_2017-11-05_final
2017-11-07 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-11-07_final
2018-04-25 09:22:28	ga_ls7e_ard_3-0-0_090088_2018-04-24_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
2018-09-12 09:44:12	ga_ls7e_ard_3-0-0_094087_2018-09-12_final
2018-09-14 09:31:48	ga_ls7e_ard_3-0-0_092087_2018-09-14_final
2018-09-14 09:32:12	ga_ls7e_ard_3-0-0_092088_2018-09-14_final
2018-09-23 09:25:49	ga_ls7e_ard_3-0-0_091088_2018-09-22_final
2018-10-25 09:24:39	ga_ls7e_ard_3-0-0_091087_2018-10-24_final
2018-11-19 09:18:18	ga_ls7e_ard_3-0-0_090088_2018-11-18_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
2018-12-26 09:35:26	ga_ls7e_ard_3-0-0_093087_2018-12-26_final
2018-12-26 09:35:50	ga_ls7e_ard_3-0-0_093088_2018-12-26_final
2019-01-04 09:28:59	ga_ls7e_ard_3-0-0_092087_2019-01-03_final
2019-01-04 09:29:23	ga_ls7e_ard_3-0-0_092088_2019-01-03_final
2019-01-06 09:16:58	ga_ls7e_ard_3-0-0_090088_2019-01-05_final
2019-01-20 09:28:29	ga_ls7e_ard_3-0-0_092087_2019-01-19_final
2019-01-20 09:28:53	ga_ls7e_ard_3-0-0_092088_2019-01-19_final
2019-01-22 09:16:27	ga_ls7e_ard_3-0-0_090088_2019-01-21_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 09:20:55	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 09:26:19	ga_ls7e_ard_3-0-0_092088_2019-04-09_final
2019-04-12 09:13:53	ga_ls7e_ard_3-0-0_090088_2019-04-11_final
2019-04-15 09:44:16	ga_ls7e_ard_3-0-0_095087_2019-04-15_final
2019-04-24 09:37:46	ga_ls7e_ard_3-0-0_094087_2019-04-24_final
2019-04-26 09:25:20	ga_ls7e_ard_3-0-0_092087_2019-04-25_final
2019-04-26 09:25:44	ga_ls7e_ard_3-0-0_092088_2019-04-25_final
2019-04-28 09:13:18	ga_ls7e_ard_3-0-0_090088_2019-04-27_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