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
2009-09-01 09:48:21	ga_ls7e_ard_3-1-0_096086_2009-09-01_final
2009-09-03 09:35:59	ga_ls7e_ard_3-0-0_094086_2009-09-03_final
2009-09-03 09:36:23	ga_ls7e_ard_3-0-0_094087_2009-09-03_final
2009-09-05 09:23:37	ga_ls7e_ard_3-0-0_092086_2009-09-04_final
2009-09-05 09:24:01	ga_ls7e_ard_3-0-0_092087_2009-09-04_final
2009-11-13 09:42:58	ga_ls7e_ard_3-0-0_095087_2009-11-13_final
2009-11-15 09:30:38	ga_ls7e_ard_3-1-0_093087_2009-11-15_final
2009-11-17 09:18:18	ga_ls7e_ard_3-0-0_091087_2009-11-16_final
2010-01-09 09:37:38	ga_ls7e_ard_3-0-0_094087_2010-01-09_final
2010-01-11 09:25:18	ga_ls7e_ard_3-0-0_092087_2010-01-10_final
2010-02-17 09:43:55	ga_ls7e_ard_3-0-0_095086_2010-02-17_final
2010-02-17 09:44:19	ga_ls7e_ard_3-0-0_095087_2010-02-17_final
2010-03-14 09:38:20	ga_ls7e_ard_3-0-0_094087_2010-03-14_final
2010-03-16 09:25:59	ga_ls7e_ard_3-0-0_092087_2010-03-15_final
2010-03-25 09:19:51	ga_ls7e_ard_3-0-0_091087_2010-03-24_final
2010-03-30 09:38:24	ga_ls7e_ard_3-0-0_094087_2010-03-30_final
2010-04-01 09:26:03	ga_ls7e_ard_3-0-0_092087_2010-03-31_final
2010-04-08 09:32:15	ga_ls7e_ard_3-0-0_093087_2010-04-08_final
2010-04-17 09:25:40	ga_ls7e_ard_3-0-0_092086_2010-04-16_final
2010-04-17 09:26:04	ga_ls7e_ard_3-0-0_092087_2010-04-16_final
2012-05-31 09:34:29	ga_ls7e_ard_3-0-0_093087_2012-05-31_final
2012-06-02 09:22:04	ga_ls7e_ard_3-0-0_091087_2012-06-01_final
2012-07-13 09:15:51	ga_ls7e_ard_3-0-0_090086_2012-07-12_final
2012-07-16 09:47:11	ga_ls7e_ard_3-0-0_095087_2012-07-16_final
2012-09-22 09:23:10	ga_ls7e_ard_3-0-0_091087_2012-09-21_final
2012-11-07 09:35:52	ga_ls7e_ard_3-0-0_093087_2012-11-07_final
2012-11-09 09:23:08	ga_ls7e_ard_3-1-0_091086_2012-11-08_final
2012-11-09 09:23:32	ga_ls7e_ard_3-0-0_091087_2012-11-08_final
2012-12-13 09:10:58	ga_ls7e_ard_3-0-0_089086_2012-12-12_final
2013-01-24 09:48:11	ga_ls7e_ard_3-0-0_095086_2013-01-24_final
2013-01-24 09:48:35	ga_ls7e_ard_3-0-0_095087_2013-01-24_final
2013-01-26 09:36:14	ga_ls7e_ard_3-1-0_093087_2013-01-26_final
2013-01-28 09:23:28	ga_ls7e_ard_3-1-0_091086_2013-01-27_final
2013-06-19 09:35:16	ga_ls7e_ard_3-0-0_093086_2013-06-19_final
2013-06-19 09:35:40	ga_ls7e_ard_3-1-0_093087_2013-06-19_final
2013-06-21 09:22:54	ga_ls7e_ard_3-1-0_091086_2013-06-20_final
2013-06-21 09:23:18	ga_ls7e_ard_3-0-0_091087_2013-06-20_final
2013-07-07 09:22:43	ga_ls7e_ard_3-1-0_091086_2013-07-06_final
2013-07-07 09:23:07	ga_ls7e_ard_3-0-0_091087_2013-07-06_final
2013-07-09 09:10:20	ga_ls7e_ard_3-0-0_089086_2013-07-08_final
2013-07-12 09:41:13	ga_ls7e_ard_3-0-0_094086_2013-07-12_final
2013-07-12 09:41:37	ga_ls7e_ard_3-0-0_094087_2013-07-12_final
2013-08-04 09:47:15	ga_ls7e_ard_3-0-0_095086_2013-08-04_final
2016-06-02 09:48:19	ga_ls7e_ard_3-0-0_094086_2016-06-02_final
2016-06-02 09:48:43	ga_ls7e_ard_3-0-0_094087_2016-06-02_final
2016-07-31 09:30:17	ga_ls7e_ard_3-0-0_091087_2016-07-31_final
2016-08-16 09:30:17	ga_ls7e_ard_3-0-0_091087_2016-08-16_final
2016-09-26 09:23:50	ga_ls7e_ard_3-0-0_090086_2016-09-25_final
2016-10-22 10:00:53	ga_ls7e_ard_3-1-0_096086_2016-10-22_final
2016-10-24 09:48:31	ga_ls7e_ard_3-0-0_094086_2016-10-24_final
2016-10-24 09:48:55	ga_ls7e_ard_3-0-0_094087_2016-10-24_final
2016-10-26 09:36:33	ga_ls7e_ard_3-0-0_092087_2016-10-26_final
2016-11-04 09:30:19	ga_ls7e_ard_3-0-0_091087_2016-11-04_final
2016-11-06 09:17:32	ga_ls7e_ard_3-0-0_089086_2016-11-05_final
2016-12-25 10:00:32	ga_ls7e_ard_3-1-0_096086_2016-12-25_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
2018-04-05 09:46:43	ga_ls7e_ard_3-0-0_094086_2018-04-05_final
2018-04-07 09:34:44	ga_ls7e_ard_3-0-0_092087_2018-04-07_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
2018-08-27 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
2018-09-12 09:43:48	ga_ls7e_ard_3-0-0_094086_2018-09-12_final
2018-09-12 09:44:12	ga_ls7e_ard_3-0-0_094087_2018-09-12_final
2018-09-19 09:49:49	ga_ls7e_ard_3-0-0_095086_2018-09-19_final
2018-09-19 09:50:13	ga_ls7e_ard_3-0-0_095087_2018-09-19_final
2018-09-23 09:25:01	ga_ls7e_ard_3-1-0_091086_2018-09-22_final
2018-09-23 09:25:25	ga_ls7e_ard_3-0-0_091087_2018-09-22_final
2018-09-25 09:12:36	ga_ls7e_ard_3-0-0_089086_2018-09-24_final
2018-09-26 09:55:50	ga_ls7e_ard_3-1-0_096086_2018-09-26_final
2018-09-30 09:31:01	ga_ls7e_ard_3-0-0_092086_2018-09-30_final
2018-09-30 09:31:25	ga_ls7e_ard_3-0-0_092087_2018-09-30_final
2018-10-12 09:55:27	ga_ls7e_ard_3-1-0_096086_2018-10-12_final
2018-10-25 09:24:15	ga_ls7e_ard_3-1-0_091086_2018-10-24_final
2018-10-25 09:24:39	ga_ls7e_ard_3-0-0_091087_2018-10-24_final
2018-11-17 09:30:19	ga_ls7e_ard_3-0-0_092087_2018-11-17_final
2018-11-19 09:17:30	ga_ls7e_ard_3-0-0_090086_2018-11-18_final
2019-01-04 09:28:35	ga_ls7e_ard_3-0-0_092086_2019-01-03_final
2019-01-04 09:28:59	ga_ls7e_ard_3-0-0_092087_2019-01-03_final
2019-01-06 09:16:10	ga_ls7e_ard_3-0-0_090086_2019-01-05_final
2019-02-07 09:15:10	ga_ls7e_ard_3-0-0_090086_2019-02-06_final
2019-04-05 09:07:09	ga_ls7e_ard_3-0-0_089086_2019-04-04_final
2019-04-06 09:50:23	ga_ls7e_ard_3-1-0_096086_2019-04-06_final
2019-04-08 09:37:57	ga_ls7e_ard_3-0-0_094086_2019-04-08_final
2019-04-08 09:38:21	ga_ls7e_ard_3-0-0_094087_2019-04-08_final
2019-04-10 09:25:31	ga_ls7e_ard_3-0-0_092086_2019-04-09_final
2019-04-10 09:25:55	ga_ls7e_ard_3-0-0_092087_2019-04-09_final
2019-04-12 09:13:05	ga_ls7e_ard_3-0-0_090086_2019-04-11_final
2019-04-24 09:37:22	ga_ls7e_ard_3-0-0_094086_2019-04-24_final
2019-04-24 09:37:46	ga_ls7e_ard_3-0-0_094087_2019-04-24_final
2019-04-26 09:24:56	ga_ls7e_ard_3-0-0_092086_2019-04-25_final
2019-04-26 09:25:20	ga_ls7e_ard_3-0-0_092087_2019-04-25_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