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
1999-12-20 09:39:20	ga_ls7e_ard_3-0-0_095072_1999-12-20_final
2003-10-28 09:38:00	ga_ls7e_ard_3-0-0_095080_2003-10-28_final
2003-12-15 09:35:11	ga_ls7e_ard_3-0-0_095072_2003-12-15_final
2004-01-28 11:41:28	ga_ls7e_ard_3-0-0_115078_2004-01-28_final
2004-12-17 09:40:48	ga_ls7e_ard_3-0-0_095085_2004-12-17_final
2005-01-18 09:35:48	ga_ls7e_ard_3-0-0_095072_2005-01-18_final
2005-02-03 09:35:53	ga_ls7e_ard_3-0-0_095072_2005-02-03_final
2005-03-22 08:56:26	ga_ls7e_ard_3-0-0_088081_2005-03-21_final
2005-06-11 09:41:04	ga_ls7e_ard_3-0-0_095085_2005-06-11_final
2005-07-29 09:41:24	ga_ls7e_ard_3-0-0_095086_2005-07-29_final
2005-12-04 09:36:00	ga_ls7e_ard_3-0-0_095072_2005-12-04_final
2006-03-09 08:57:14	ga_ls7e_ard_3-0-0_088082_2006-03-08_final
2006-05-09 11:42:28	ga_ls7e_ard_3-0-0_115078_2006-05-09_final
2006-11-05 09:41:24	ga_ls7e_ard_3-0-0_095085_2006-11-05_final
2006-11-21 09:39:35	ga_ls7e_ard_3-0-0_095080_2006-11-21_final
2007-12-25 08:57:28	ga_ls7e_ard_3-0-0_088082_2007-12-24_final
2010-11-12 11:45:29	ga_ls7e_ard_3-0-0_115079_2010-11-12_final
2011-03-23 09:00:17	ga_ls7e_ard_3-0-0_088081_2011-03-22_final
2011-03-24 09:40:22	ga_ls7e_ard_3-1-0_095073_2011-03-24_final
2011-10-17 09:00:01	ga_ls7e_ard_3-0-0_088081_2011-10-16_final
2012-08-01 09:42:32	ga_ls7e_ard_3-0-0_095075_2012-08-01_final
2012-11-05 09:42:14	ga_ls7e_ard_3-0-0_095072_2012-11-05_final
2013-03-12 09:03:16	ga_ls7e_ard_3-0-0_088082_2013-03-11_final
2013-10-23 09:42:52	ga_ls7e_ard_3-1-0_095073_2013-10-23_final
2013-11-23 09:03:21	ga_ls7e_ard_3-0-0_088082_2013-11-22_final
2013-12-22 11:49:10	ga_ls7e_ard_3-0-0_115079_2013-12-22_final
2014-01-23 11:48:20	ga_ls7e_ard_3-0-0_115076_2014-01-23_final
2014-03-31 09:03:42	ga_ls7e_ard_3-0-0_088081_2014-03-30_final
2014-09-08 09:49:38	ga_ls7e_ard_3-0-0_095086_2014-09-08_final
2014-12-29 09:50:06	ga_ls7e_ard_3-0-0_095085_2014-12-29_final
2015-08-26 09:51:02	ga_ls7e_ard_3-0-0_095084_2015-08-26_final
2015-10-25 11:53:10	ga_ls7e_ard_3-0-0_115079_2015-10-25_final
2015-11-30 09:51:42	ga_ls7e_ard_3-0-0_095083_2015-11-30_final
2016-10-31 09:53:52	ga_ls7e_ard_3-0-0_095084_2016-10-31_final
2016-12-14 11:55:15	ga_ls7e_ard_3-0-0_115079_2016-12-14_final
2017-02-04 09:48:23	ga_ls7e_ard_3-0-0_095072_2017-02-04_final
2017-02-04 09:52:23	ga_ls7e_ard_3-0-0_095082_2017-02-04_final
2017-02-20 09:53:35	ga_ls7e_ard_3-0-0_095085_2017-02-20_final
2018-02-23 09:47:50	ga_ls7e_ard_3-0-0_095072_2018-02-23_final
2021-02-20 09:24:11	ga_ls7e_ard_3-2-0_098083_2021-02-19_final
2021-03-01 10:56:36	ga_ls7e_ard_3-2-0_113084_2021-03-01_final
2021-03-09 10:00:33	ga_ls7e_ard_3-2-0_105069_2021-03-09_final
2021-03-19 09:03:09	ga_ls7e_ard_3-2-0_095082_2021-03-18_final
2021-03-24 09:22:05	ga_ls7e_ard_3-2-0_098084_2021-03-23_final
2021-03-25 10:01:16	ga_ls7e_ard_3-2-0_105074_2021-03-25_final
2021-03-28 10:31:55	ga_ls7e_ard_3-2-0_110074_2021-03-28_final
2021-04-10 10:01:09	ga_ls7e_ard_3-2-0_105077_2021-04-10_final
2021-04-17 10:03:09	ga_ls7e_ard_3-2-0_106068_2021-04-17_final
2021-04-29 10:27:39	ga_ls7e_ard_3-2-0_110070_2021-04-29_final
2021-05-03 10:04:59	ga_ls7e_ard_3-2-0_106076_2021-05-03_final
2021-05-07 09:36:45	ga_ls7e_ard_3-2-0_102068_2021-05-07_final
2021-05-08 08:48:38	ga_ls7e_ard_3-2-0_093087_2021-05-07_final
2021-05-24 10:21:46	ga_ls7e_ard_3-2-0_109076_2021-05-24_final
2021-05-28 08:21:48	ga_ls7e_ard_3-2-0_089086_2021-05-27_final
2021-06-03 09:20:18	ga_ls7e_ard_3-2-0_099079_2021-06-02_final
2021-06-03 10:59:11	ga_ls7e_ard_3-2-0_115079_2021-06-03_final
2021-06-12 10:53:04	ga_ls7e_ard_3-2-0_114081_2021-06-12_final
2021-06-14 09:00:52	ga_ls7e_ard_3-2-0_096079_2021-06-13_final
2021-06-20 08:25:18	ga_ls7e_ard_3-2-0_090084_2021-06-19_final
2021-07-04 08:36:29	ga_ls7e_ard_3-2-0_092084_2021-07-03_final
2021-07-06 09:56:27	ga_ls7e_ard_3-2-0_106068_2021-07-06_final
2021-07-09 10:29:30	ga_ls7e_ard_3-2-0_111074_2021-07-09_final
2021-07-27 08:41:54	ga_ls7e_ard_3-2-0_093087_2021-07-26_final
2021-07-27 10:19:34	ga_ls7e_ard_3-2-0_109084_2021-07-27_final
2021-08-06 09:16:30	ga_ls7e_ard_3-2-0_099083_2021-08-05_final
2021-08-06 09:16:54	ga_ls7e_ard_3-2-0_099084_2021-08-05_final
2021-08-09 09:46:44	ga_ls7e_ard_3-2-0_104082_2021-08-09_final
2021-08-15 09:09:54	ga_ls7e_ard_3-2-0_098084_2021-08-14_final
2021-08-23 08:21:46	ga_ls7e_ard_3-2-0_090089_2021-08-22_final
2021-08-27 09:29:12	ga_ls7e_ard_3-2-0_102073_2021-08-26_final
2021-09-07 09:11:42	ga_ls7e_ard_3-2-0_099078_2021-09-06_final
2021-09-15 09:59:14	ga_ls7e_ard_3-2-0_107075_2021-09-15_final
2021-09-27 08:48:23	ga_ls7e_ard_3-2-0_095086_2021-09-26_final
2021-10-03 09:45:40	ga_ls7e_ard_3-2-0_105076_2021-10-03_final
2021-10-08 10:03:22	ga_ls7e_ard_3-2-0_108075_2021-10-08_final
2021-10-10 09:48:27	ga_ls7e_ard_3-2-0_106069_2021-10-10_final
2021-10-10 09:52:50	ga_ls7e_ard_3-2-0_106080_2021-10-10_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-11-07 08:30:55	ga_ls7e_ard_3-2-0_094067_2021-11-06_final
2021-11-08 09:20:04	ga_ls7e_ard_3-2-0_101082_2021-11-07_final
2021-11-09 10:00:26	ga_ls7e_ard_3-2-0_108075_2021-11-09_final
2021-11-11 09:45:05	ga_ls7e_ard_3-2-0_106068_2021-11-11_final
2021-11-14 10:18:06	ga_ls7e_ard_3-2-1_111074_2021-11-14_final
2021-11-20 09:41:13	ga_ls7e_ard_3-2-1_105076_2021-11-20_final
2021-11-23 10:11:25	ga_ls7e_ard_3-2-1_110075_2021-11-23_final
2021-11-23 10:14:37	ga_ls7e_ard_3-2-1_110083_2021-11-23_final
2021-11-26 09:00:46	ga_ls7e_ard_3-2-1_099069_2021-11-25_final
2021-11-26 09:05:10	ga_ls7e_ard_3-2-1_099080_2021-11-25_final
2021-12-06 08:04:26	ga_ls7e_ard_3-2-1_089085_2021-12-05_final
2021-12-12 09:00:04	ga_ls7e_ard_3-2-1_099071_2021-12-11_final
2021-12-18 08:27:36	ga_ls7e_ard_3-2-1_093084_2021-12-17_final
2022-01-02 09:17:20	ga_ls7e_ard_3-2-1_102073_2022-01-01_final
2022-01-20 09:05:15	ga_ls7e_ard_3-2-1_100078_2022-01-19_final
2022-01-23 09:34:40	ga_ls7e_ard_3-2-1_105075_2022-01-23_final
2022-01-26 08:28:47	ga_ls7e_ard_3-2-1_094081_2022-01-25_final
2022-02-10 09:18:06	ga_ls7e_ard_3-2-1_103069_2022-02-09_final
2022-03-08 09:53:26	ga_ls7e_ard_3-2-1_109071_2022-03-08_final
2022-03-17 08:13:50	ga_ls7e_ard_3-2-1_092087_2022-03-16_final
2022-03-23 09:08:17	ga_ls7e_ard_3-2-1_102070_2022-03-22_final
2022-03-26 09:44:30	ga_ls7e_ard_3-2-1_107084_2022-03-26_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