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
1999-08-14 09:43:16	ga_ls7e_ard_3-0-0_095082_1999-08-14_final
2001-05-31 09:41:21	ga_ls7e_ard_3-0-0_095085_2001-05-31_final
2002-02-11 09:35:43	ga_ls7e_ard_3-1-0_095073_2002-02-11_final
2002-02-27 09:35:46	ga_ls7e_ard_3-1-0_095073_2002-02-27_final
2003-10-28 09:39:59	ga_ls7e_ard_3-0-0_095085_2003-10-28_final
2004-02-17 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-02-17_final
2006-01-05 09:41:23	ga_ls7e_ard_3-0-0_095085_2006-01-05_final
2006-12-07 09:38:55	ga_ls7e_ard_3-0-0_095078_2006-12-07_final
2007-07-03 09:41:02	ga_ls7e_ard_3-0-0_095083_2007-07-03_final
2007-11-24 09:40:35	ga_ls7e_ard_3-0-0_095082_2007-11-24_final
2008-03-31 09:39:45	ga_ls7e_ard_3-0-0_095080_2008-03-31_final
2008-09-07 09:40:58	ga_ls7e_ard_3-0-0_095086_2008-09-07_final
2009-04-03 09:37:05	ga_ls7e_ard_3-1-0_095073_2009-04-03_final
2009-12-15 09:43:23	ga_ls7e_ard_3-0-0_095087_2009-12-15_final
2010-05-08 09:43:21	ga_ls7e_ard_3-0-0_095084_2010-05-08_final
2011-02-04 09:43:24	ga_ls7e_ard_3-0-0_095081_2011-02-04_final
2011-06-28 09:45:31	ga_ls7e_ard_3-0-0_095086_2011-06-28_final
2011-11-03 09:40:11	ga_ls7e_ard_3-1-0_095073_2011-11-03_final
2012-07-16 09:45:59	ga_ls7e_ard_3-0-0_095084_2012-07-16_final
2013-09-21 09:46:29	ga_ls7e_ard_3-0-0_095083_2013-09-21_final
2013-11-24 09:43:26	ga_ls7e_ard_3-0-0_095074_2013-11-24_final
2014-03-16 09:43:16	ga_ls7e_ard_3-0-0_095072_2014-03-16_final
2014-06-04 09:43:48	ga_ls7e_ard_3-0-0_095072_2014-06-04_final
2014-07-22 09:43:58	ga_ls7e_ard_3-0-0_095072_2014-07-22_final
2015-05-22 09:49:51	ga_ls7e_ard_3-0-0_095082_2015-05-22_final
2016-02-18 09:48:17	ga_ls7e_ard_3-0-0_095072_2016-02-18_final
2017-06-12 09:49:24	ga_ls7e_ard_3-1-0_095073_2017-06-12_final
2017-06-28 09:53:50	ga_ls7e_ard_3-0-0_095084_2017-06-28_final
2017-10-18 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-10-18_final
2018-02-07 09:53:59	ga_ls7e_ard_3-0-0_095087_2018-02-07_final
2019-01-25 09:45:16	ga_ls7e_ard_3-0-0_095083_2019-01-25_final
2019-12-11 09:33:58	ga_ls7e_ard_3-1-0_095086_2019-12-11_final
2020-03-16 09:27:01	ga_ls7e_ard_3-1-0_095081_2020-03-15_final
2020-12-13 09:11:28	ga_ls7e_ard_3-1-0_095085_2020-12-12_final
2021-02-13 10:56:37	ga_ls7e_ard_3-2-0_113081_2021-02-13_final
2021-02-20 11:02:16	ga_ls7e_ard_3-2-0_114081_2021-02-20_final
2021-02-22 10:47:22	ga_ls7e_ard_3-2-0_112075_2021-02-22_final
2021-02-28 08:35:20	ga_ls7e_ard_3-2-0_090086_2021-02-27_final
2021-03-07 08:38:11	ga_ls7e_ard_3-2-0_091079_2021-03-06_final
2021-03-07 08:41:22	ga_ls7e_ard_3-2-0_091087_2021-03-06_final
2021-03-07 10:17:03	ga_ls7e_ard_3-2-0_107079_2021-03-07_final
2021-03-11 09:53:13	ga_ls7e_ard_3-2-0_103082_2021-03-11_final
2021-03-17 09:14:52	ga_ls7e_ard_3-2-0_097080_2021-03-16_final
2021-04-10 10:02:21	ga_ls7e_ard_3-2-0_105080_2021-04-10_final
2021-05-10 10:12:35	ga_ls7e_ard_3-2-0_107081_2021-05-10_final
2021-05-15 08:53:49	ga_ls7e_ard_3-2-0_094086_2021-05-14_final
2021-05-19 10:01:15	ga_ls7e_ard_3-2-0_106070_2021-05-19_final
2021-05-26 08:30:21	ga_ls7e_ard_3-2-0_091076_2021-05-25_final
2021-06-07 08:57:15	ga_ls7e_ard_3-2-0_095084_2021-06-06_final
2021-06-12 09:12:36	ga_ls7e_ard_3-2-0_098077_2021-06-11_final
2021-06-14 08:58:53	ga_ls7e_ard_3-2-0_096074_2021-06-13_final
2021-06-16 10:28:01	ga_ls7e_ard_3-2-0_110081_2021-06-16_final
2021-06-20 10:00:11	ga_ls7e_ard_3-2-0_106074_2021-06-20_final
2021-07-14 09:07:32	ga_ls7e_ard_3-2-0_098071_2021-07-13_final
2021-07-25 08:53:14	ga_ls7e_ard_3-2-0_095084_2021-07-24_final
2021-07-27 10:19:10	ga_ls7e_ard_3-2-0_109083_2021-07-27_final
2021-08-04 09:26:38	ga_ls7e_ard_3-2-0_101077_2021-08-03_final
2021-08-06 09:12:06	ga_ls7e_ard_3-2-0_099072_2021-08-05_final
2021-08-07 08:19:11	ga_ls7e_ard_3-2-0_090079_2021-08-06_final
2021-08-19 08:40:27	ga_ls7e_ard_3-2-0_094073_2021-08-18_final
2021-08-19 10:18:08	ga_ls7e_ard_3-2-0_110070_2021-08-19_final
2021-08-22 10:51:58	ga_ls7e_ard_3-2-0_115078_2021-08-22_final
2021-08-26 10:22:55	ga_ls7e_ard_3-2-0_111068_2021-08-26_final
2021-08-29 09:20:16	ga_ls7e_ard_3-2-0_100082_2021-08-28_final
2021-09-04 08:43:28	ga_ls7e_ard_3-2-0_094084_2021-09-03_final
2021-09-06 10:09:24	ga_ls7e_ard_3-2-0_108083_2021-09-06_final
2021-10-09 10:46:33	ga_ls7e_ard_3-2-0_115075_2021-10-09_final
2021-10-17 08:18:19	ga_ls7e_ard_3-2-0_091077_2021-10-16_final
2021-10-17 09:54:48	ga_ls7e_ard_3-2-0_107071_2021-10-17_final
2021-10-20 10:29:01	ga_ls7e_ard_3-2-0_112080_2021-10-20_final
2021-10-24 10:00:21	ga_ls7e_ard_3-2-0_108071_2021-10-24_final
2021-10-26 09:47:48	ga_ls7e_ard_3-2-0_106071_2021-10-26_final
2021-10-29 08:43:56	ga_ls7e_ard_3-2-0_095082_2021-10-28_final
2021-10-31 10:10:40	ga_ls7e_ard_3-2-0_109083_2021-10-31_final
2021-11-05 08:51:03	ga_ls7e_ard_3-2-0_096086_2021-11-04_final
2021-11-09 08:25:09	ga_ls7e_ard_3-2-0_092084_2021-11-08_final
2021-11-12 10:33:50	ga_ls7e_ard_3-2-1_113082_2021-11-12_final
2021-11-18 09:52:59	ga_ls7e_ard_3-2-1_107074_2021-11-18_final
2021-11-21 10:24:23	ga_ls7e_ard_3-2-1_112076_2021-11-21_final
2021-12-05 08:53:45	ga_ls7e_ard_3-2-1_098069_2021-12-04_final
2021-12-13 08:11:32	ga_ls7e_ard_3-2-1_090089_2021-12-12_final
2021-12-14 10:28:00	ga_ls7e_ard_3-2-1_113075_2021-12-14_final
2021-12-16 10:19:02	ga_ls7e_ard_3-2-1_111084_2021-12-16_final
2021-12-20 08:15:27	ga_ls7e_ard_3-2-1_091085_2021-12-19_final
2022-01-08 08:38:28	ga_ls7e_ard_3-2-1_096070_2022-01-07_final
2022-01-12 08:17:46	ga_ls7e_ard_3-2-1_092081_2022-01-11_final
2022-01-23 09:32:40	ga_ls7e_ard_3-2-1_105070_2022-01-23_final
2022-02-03 09:13:50	ga_ls7e_ard_3-2-1_102072_2022-02-02_final
2022-02-06 08:09:57	ga_ls7e_ard_3-2-1_091083_2022-02-05_final
2022-02-15 09:36:55	ga_ls7e_ard_3-2-1_106071_2022-02-15_final
2022-02-16 08:41:11	ga_ls7e_ard_3-2-1_097071_2022-02-15_final
2022-02-20 09:55:22	ga_ls7e_ard_3-2-1_109072_2022-02-20_final
2022-02-26 09:17:43	ga_ls7e_ard_3-2-1_103072_2022-02-25_final
2022-02-27 10:02:05	ga_ls7e_ard_3-2-1_110075_2022-02-27_final
2022-03-04 10:22:08	ga_ls7e_ard_3-2-1_113080_2022-03-04_final
2022-03-08 08:20:32	ga_ls7e_ard_3-2-1_093086_2022-03-07_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_2022-03-19_final
2022-03-26 08:02:26	ga_ls7e_ard_3-2-1_091076_2022-03-25_final
2022-03-30 09:17:00	ga_ls7e_ard_3-2-1_103078_2022-03-29_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years