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
1999-09-14 08:59:58	ga_ls7e_ard_3-0-0_088082_1999-09-13_final
1999-10-01 09:43:01	ga_ls7e_ard_3-0-0_095081_1999-10-01_final
2002-02-27 09:35:22	ga_ls7e_ard_3-0-0_095072_2002-02-27_final
2002-11-26 09:38:11	ga_ls7e_ard_3-0-0_095081_2002-11-26_final
2003-01-09 11:41:08	ga_ls7e_ard_3-0-0_115079_2003-01-09_final
2003-12-15 09:38:22	ga_ls7e_ard_3-0-0_095080_2003-12-15_final
2004-01-16 09:39:44	ga_ls7e_ard_3-0-0_095083_2004-01-16_final
2004-02-01 09:39:05	ga_ls7e_ard_3-0-0_095081_2004-02-01_final
2004-02-13 11:40:19	ga_ls7e_ard_3-0-0_115075_2004-02-13_final
2004-04-05 09:39:15	ga_ls7e_ard_3-0-0_095081_2004-04-05_final
2004-06-04 11:39:55	ga_ls7e_ard_3-0-0_115074_2004-06-04_final
2004-06-20 11:39:50	ga_ls7e_ard_3-0-0_115074_2004-06-20_final
2005-01-02 09:40:57	ga_ls7e_ard_3-0-0_095085_2005-01-02_final
2005-10-01 09:39:28	ga_ls7e_ard_3-0-0_095082_2005-10-01_final
2005-12-04 09:36:24	ga_ls7e_ard_3-1-0_095073_2005-12-04_final
2006-02-22 09:40:52	ga_ls7e_ard_3-0-0_095083_2006-02-22_final
2007-05-12 11:41:36	ga_ls7e_ard_3-0-0_115075_2007-05-12_final
2008-01-11 09:41:57	ga_ls7e_ard_3-0-0_095085_2008-01-11_final
2008-02-28 09:40:12	ga_ls7e_ard_3-0-0_095081_2008-02-28_final
2008-09-06 08:55:43	ga_ls7e_ard_3-0-0_088081_2008-09-05_final
2009-04-03 09:36:41	ga_ls7e_ard_3-0-0_095072_2009-04-03_final
2009-05-21 09:36:51	ga_ls7e_ard_3-0-0_095072_2009-05-21_final
2009-06-06 09:37:14	ga_ls7e_ard_3-1-0_095073_2009-06-06_final
2010-12-14 11:44:37	ga_ls7e_ard_3-0-0_115076_2010-12-14_final
2011-11-19 09:44:01	ga_ls7e_ard_3-0-0_095082_2011-11-19_final
2012-07-12 11:45:33	ga_ls7e_ard_3-0-0_115074_2012-07-12_final
2012-11-20 09:02:43	ga_ls7e_ard_3-0-0_088081_2012-11-19_final
2012-12-03 11:47:11	ga_ls7e_ard_3-0-0_115075_2012-12-03_final
2013-02-14 11:43:13	ga_ls7e_ard_3-0-0_114080_2013-02-14_final
2013-03-18 11:43:08	ga_ls7e_ard_3-0-0_114080_2013-03-18_final
2013-03-29 09:42:51	ga_ls7e_ard_3-1-0_095073_2013-03-29_final
2014-10-25 09:04:50	ga_ls7e_ard_3-0-0_088081_2014-10-24_final
2015-09-27 09:47:34	ga_ls7e_ard_3-0-0_095075_2015-09-27_final
2016-12-02 09:53:18	ga_ls7e_ard_3-0-0_095083_2016-12-02_final
2017-06-12 09:53:48	ga_ls7e_ard_3-0-0_095084_2017-06-12_final
2017-07-14 09:53:03	ga_ls7e_ard_3-0-0_095082_2017-07-14_final
2017-10-30 11:53:27	ga_ls7e_ard_3-0-0_115074_2017-10-30_final
2018-08-30 11:49:28	ga_ls7e_ard_3-0-0_115075_2018-08-30_final
2018-09-03 09:44:35	ga_ls7e_ard_3-0-0_095072_2018-09-03_final
2019-11-09 09:30:19	ga_ls7e_ard_3-1-0_095073_2019-11-09_final
2019-11-25 09:33:33	ga_ls7e_ard_3-1-0_095083_2019-11-25_final
2020-01-12 09:30:20	ga_ls7e_ard_3-1-0_095081_2020-01-12_final
2020-03-21 11:23:22	ga_ls7e_ard_3-1-0_114079_2020-03-21_final
2020-06-04 09:23:31	ga_ls7e_ard_3-1-0_095084_2020-06-03_final
2020-10-06 11:16:34	ga_ls7e_ard_3-1-0_115077_2020-10-06_final
2021-02-28 08:34:56	ga_ls7e_ard_3-2-0_090085_2021-02-27_final
2021-03-31 09:22:54	ga_ls7e_ard_3-2-0_099072_2021-03-30_final
2021-04-01 08:33:59	ga_ls7e_ard_3-2-0_090089_2021-03-31_final
2021-04-08 08:36:23	ga_ls7e_ard_3-2-0_091081_2021-04-07_final
2021-04-08 10:12:05	ga_ls7e_ard_3-2-0_107073_2021-04-08_final
2021-04-09 09:15:59	ga_ls7e_ard_3-2-0_098072_2021-04-08_final
2021-04-24 10:11:08	ga_ls7e_ard_3-2-0_107074_2021-04-24_final
2021-04-29 10:27:39	ga_ls7e_ard_3-2-0_110070_2021-04-29_final
2021-05-01 08:39:26	ga_ls7e_ard_3-2-0_092078_2021-04-30_final
2021-05-01 08:43:02	ga_ls7e_ard_3-2-0_092087_2021-04-30_final
2021-05-06 08:55:10	ga_ls7e_ard_3-2-0_095072_2021-05-05_final
2021-05-11 10:54:34	ga_ls7e_ard_3-2-0_114078_2021-05-11_final
2021-05-15 10:26:19	ga_ls7e_ard_3-2-0_110070_2021-05-15_final
2021-05-20 10:50:01	ga_ls7e_ard_3-2-0_113084_2021-05-20_final
2021-06-03 09:15:55	ga_ls7e_ard_3-2-0_099068_2021-06-02_final
2021-06-03 09:22:18	ga_ls7e_ard_3-2-0_099084_2021-06-02_final
2021-06-04 08:27:00	ga_ls7e_ard_3-2-0_090085_2021-06-03_final
2021-06-05 09:05:23	ga_ls7e_ard_3-2-0_097073_2021-06-04_final
2021-06-19 10:55:53	ga_ls7e_ard_3-2-0_115074_2021-06-19_final
2021-06-20 08:23:18	ga_ls7e_ard_3-2-0_090079_2021-06-19_final
2021-06-21 10:45:45	ga_ls7e_ard_3-2-0_113080_2021-06-21_final
2021-07-05 09:13:41	ga_ls7e_ard_3-2-0_099069_2021-07-04_final
2021-07-05 09:14:52	ga_ls7e_ard_3-2-0_099072_2021-07-04_final
2021-07-19 09:27:38	ga_ls7e_ard_3-2-0_101076_2021-07-18_final
2021-07-31 09:48:31	ga_ls7e_ard_3-2-0_105069_2021-07-31_final
2021-08-07 09:54:52	ga_ls7e_ard_3-2-0_106071_2021-08-07_final
2021-08-13 09:17:40	ga_ls7e_ard_3-2-0_100072_2021-08-12_final
2021-08-18 09:36:57	ga_ls7e_ard_3-2-0_103075_2021-08-18_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-26 08:49:13	ga_ls7e_ard_3-2-0_095081_2021-08-25_final
2021-09-11 10:21:31	ga_ls7e_ard_3-2-0_111068_2021-09-11_final
2021-09-13 10:15:22	ga_ls7e_ard_3-2-0_109084_2021-09-13_final
2021-09-23 09:06:41	ga_ls7e_ard_3-2-0_099069_2021-09-22_final
2021-09-23 10:48:21	ga_ls7e_ard_3-2-0_115076_2021-09-23_final
2021-10-01 08:24:07	ga_ls7e_ard_3-2-0_091088_2021-09-30_final
2021-10-01 09:58:12	ga_ls7e_ard_3-2-0_107076_2021-10-01_final
2021-10-25 09:06:38	ga_ls7e_ard_3-2-0_099076_2021-10-24_final
2021-10-25 10:45:30	ga_ls7e_ard_3-2-0_115076_2021-10-25_final
2021-10-26 09:48:36	ga_ls7e_ard_3-2-0_106073_2021-10-26_final
2021-11-13 09:32:56	ga_ls7e_ard_3-2-1_104069_2021-11-13_final
2021-11-18 08:18:54	ga_ls7e_ard_3-2-1_091086_2021-11-17_final
2021-11-19 08:55:40	ga_ls7e_ard_3-2-1_098070_2021-11-18_final
2021-12-13 08:08:45	ga_ls7e_ard_3-2-1_090082_2021-12-12_final
2022-01-01 10:13:51	ga_ls7e_ard_3-2-1_111075_2022-01-01_final
2022-01-02 09:15:44	ga_ls7e_ard_3-2-1_102069_2022-01-01_final
2022-01-03 08:22:01	ga_ls7e_ard_3-2-1_093074_2022-01-02_final
2022-01-03 10:02:05	ga_ls7e_ard_3-2-1_109077_2022-01-03_final
2022-01-29 10:35:52	ga_ls7e_ard_3-2-1_115075_2022-01-29_final
2022-02-07 08:51:06	ga_ls7e_ard_3-2-1_098078_2022-02-06_final
2022-02-25 08:39:21	ga_ls7e_ard_3-2-1_096084_2022-02-24_final
2022-03-10 09:42:04	ga_ls7e_ard_3-2-1_107074_2022-03-10_final
2022-03-11 10:25:37	ga_ls7e_ard_3-2-1_114075_2022-03-11_final
2022-03-14 09:15:45	ga_ls7e_ard_3-2-1_103071_2022-03-13_final
2022-03-15 10:04:05	ga_ls7e_ard_3-2-1_110084_2022-03-15_final
2022-03-18 10:32:17	ga_ls7e_ard_3-2-1_115078_2022-03-18_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