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:

Add field

First 100 results (query limit)

Time (local)	Label
2005-11-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2005-11-03_final
2005-11-04 09:29:48	ga_ls7e_ard_3-1-0_093088_2005-11-03_final
2005-11-06 09:17:04	ga_ls7e_ard_3-0-0_091087_2005-11-05_final
2005-11-06 09:17:28	ga_ls7e_ard_3-0-0_091088_2005-11-05_final
2005-11-15 09:11:22	ga_ls7e_ard_3-0-0_090088_2005-11-14_final
2005-11-20 09:29:33	ga_ls7e_ard_3-1-0_093087_2005-11-19_final
2006-01-16 09:23:44	ga_ls7e_ard_3-0-0_092087_2006-01-15_final
2006-01-16 09:24:08	ga_ls7e_ard_3-0-0_092088_2006-01-15_final
2006-01-21 09:42:19	ga_ls7e_ard_3-0-0_095087_2006-01-21_final
2006-01-23 09:29:58	ga_ls7e_ard_3-1-0_093087_2006-01-22_final
2006-01-23 09:30:22	ga_ls7e_ard_3-0-0_093088_2006-01-23_final
2006-02-03 09:11:54	ga_ls7e_ard_3-1-0_090088_2006-02-02_final
2006-02-19 09:11:58	ga_ls7e_ard_3-0-0_090088_2006-02-18_final
2006-02-24 09:30:07	ga_ls7e_ard_3-1-0_093087_2006-02-24_final
2006-03-12 09:30:08	ga_ls7e_ard_3-1-0_093087_2006-03-12_final
2006-03-12 09:30:32	ga_ls7e_ard_3-0-0_093088_2006-03-12_final
2006-03-14 09:17:46	ga_ls7e_ard_3-0-0_091087_2006-03-13_final
2006-03-14 09:18:10	ga_ls7e_ard_3-0-0_091088_2006-03-13_final
2006-03-19 09:36:18	ga_ls7e_ard_3-0-0_094087_2006-03-19_final
2006-04-04 09:36:16	ga_ls7e_ard_3-0-0_094087_2006-04-04_final
2006-04-15 09:17:41	ga_ls7e_ard_3-0-0_091087_2006-04-14_final
2006-04-15 09:18:05	ga_ls7e_ard_3-0-0_091088_2006-04-14_final
2006-04-20 09:36:12	ga_ls7e_ard_3-0-0_094087_2006-04-20_final
2006-04-22 09:23:51	ga_ls7e_ard_3-0-0_092087_2006-04-21_final
2006-04-22 09:24:15	ga_ls7e_ard_3-0-0_092088_2006-04-21_final
2006-05-10 09:11:57	ga_ls7e_ard_3-0-0_090088_2006-05-09_final
2006-05-31 09:30:05	ga_ls7e_ard_3-1-0_093087_2006-05-31_final
2006-05-31 09:30:29	ga_ls7e_ard_3-0-0_093088_2006-05-31_final
2006-06-02 09:17:43	ga_ls7e_ard_3-0-0_091087_2006-06-01_final
2006-06-02 09:18:07	ga_ls7e_ard_3-0-0_091088_2006-06-01_final
2006-06-11 09:11:54	ga_ls7e_ard_3-0-0_090088_2006-06-10_final
2016-06-11 09:42:58	ga_ls7e_ard_3-0-0_093088_2016-06-11_final
2016-06-13 09:30:13	ga_ls7e_ard_3-0-0_091087_2016-06-13_final
2016-06-20 09:36:49	ga_ls7e_ard_3-0-0_092088_2016-06-20_final
2016-06-29 09:30:14	ga_ls7e_ard_3-0-0_091087_2016-06-29_final
2016-06-29 09:30:38	ga_ls7e_ard_3-0-0_091088_2016-06-29_final
2016-07-13 09:42:35	ga_ls7e_ard_3-1-0_093087_2016-07-13_final
2016-07-13 09:42:59	ga_ls7e_ard_3-0-0_093088_2016-07-13_final
2016-07-24 09:24:29	ga_ls7e_ard_3-0-0_090088_2016-07-23_final
2016-08-05 09:48:50	ga_ls7e_ard_3-0-0_094087_2016-08-05_final
2016-08-07 09:36:52	ga_ls7e_ard_3-0-0_092088_2016-08-07_final
2016-08-12 09:55:01	ga_ls7e_ard_3-0-0_095087_2016-08-12_final
2016-08-14 09:42:39	ga_ls7e_ard_3-1-0_093087_2016-08-14_final
2016-08-14 09:43:03	ga_ls7e_ard_3-0-0_093088_2016-08-14_final
2016-08-25 09:24:33	ga_ls7e_ard_3-0-0_090088_2016-08-24_final
2016-09-06 09:48:55	ga_ls7e_ard_3-0-0_094087_2016-09-06_final
2016-09-08 09:36:33	ga_ls7e_ard_3-0-0_092087_2016-09-08_final
2016-09-08 09:36:57	ga_ls7e_ard_3-0-0_092088_2016-09-08_final
2016-09-17 09:30:47	ga_ls7e_ard_3-0-0_091088_2016-09-17_final
2016-09-24 09:36:35	ga_ls7e_ard_3-0-0_092087_2016-09-24_final
2016-09-24 09:36:59	ga_ls7e_ard_3-0-0_092088_2016-09-24_final
2016-10-17 09:42:46	ga_ls7e_ard_3-0-0_093087_2016-10-17_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
2016-10-24 09:48:55	ga_ls7e_ard_3-0-0_094087_2016-10-24_final
2016-10-31 09:55:04	ga_ls7e_ard_3-0-0_095087_2016-10-31_final
2016-11-13 09:24:27	ga_ls7e_ard_3-0-0_090088_2016-11-12_final
2016-11-18 09:42:34	ga_ls7e_ard_3-1-0_093087_2016-11-18_final
2016-11-18 09:42:58	ga_ls7e_ard_3-0-0_093088_2016-11-18_final
2017-01-05 09:42:17	ga_ls7e_ard_3-1-0_093087_2017-01-05_final
2017-01-05 09:42:41	ga_ls7e_ard_3-0-0_093088_2017-01-05_final
2017-01-07 09:30:18	ga_ls7e_ard_3-0-0_091088_2017-01-07_final
2017-01-12 09:48:23	ga_ls7e_ard_3-0-0_094087_2017-01-12_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
2017-03-01 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
2017-05-06 09:36:19	ga_ls7e_ard_3-0-0_092087_2017-05-06_final
2017-06-23 09:36:29	ga_ls7e_ard_3-0-0_092087_2017-06-23_final
2017-06-23 09:36:53	ga_ls7e_ard_3-0-0_092088_2017-06-23_final
2017-09-16 09:54:58	ga_ls7e_ard_3-0-0_095087_2017-09-16_final
2017-09-18 09:42:36	ga_ls7e_ard_3-1-0_093087_2017-09-18_final
2017-09-29 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-09-28_final
2017-10-06 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-10-06_final
2017-10-06 09:30:40	ga_ls7e_ard_3-0-0_091088_2017-10-06_final
2017-11-07 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-11-07_final
2017-11-12 09:48:49	ga_ls7e_ard_3-0-0_094087_2017-11-12_final
2017-11-14 09:36:27	ga_ls7e_ard_3-0-0_092087_2017-11-14_final
2017-11-14 09:36:51	ga_ls7e_ard_3-0-0_092088_2017-11-14_final
2017-11-16 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-11-15_final
2018-10-02 09:19:25	ga_ls7e_ard_3-0-0_090088_2018-10-01_final
2018-12-05 09:17:54	ga_ls7e_ard_3-0-0_090088_2018-12-04_final
2018-12-21 09:17:27	ga_ls7e_ard_3-0-0_090088_2018-12-20_final
2019-04-19 09:19:25	ga_ls7e_ard_3-0-0_091087_2019-04-18_final
2019-04-19 09:19:48	ga_ls7e_ard_3-0-0_091088_2019-04-18_final
2019-06-11 09:35:58	ga_ls7e_ard_3-0-0_094087_2019-06-11_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
2019-09-03 09:08:18	ga_ls7e_ard_3-1-0_090088_2019-09-02_final
2019-09-06 09:38:40	ga_ls7e_ard_3-1-0_095087_2019-09-06_final
2019-09-08 09:26:13	ga_ls7e_ard_3-1-0_093087_2019-09-07_final
2019-09-10 09:13:47	ga_ls7e_ard_3-1-0_091087_2019-09-09_final
2019-09-10 09:14:11	ga_ls7e_ard_3-1-0_091088_2019-09-09_final
2019-11-18 09:29:18	ga_ls7e_ard_3-1-0_094087_2019-11-17_final
2019-11-20 09:16:51	ga_ls7e_ard_3-1-0_092087_2019-11-19_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
2020-02-06 09:25:18	ga_ls7e_ard_3-1-0_094087_2020-02-05_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