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
1999-09-03 09:20:13	ga_ls7e_ard_3-1-0_091086_1999-09-02_final
2000-10-30 11:01:06	ga_ls7e_ard_3-1-0_108082_2000-10-30_final
2004-11-30 10:30:20	ga_ls7e_ard_3-1-0_104070_2004-11-30_final
2005-03-23 11:18:58	ga_ls7e_ard_3-1-0_111082_2005-03-23_final
2005-05-25 10:30:49	ga_ls7e_ard_3-1-0_104070_2005-05-25_final
2006-03-06 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-03-06_final
2006-11-30 09:28:18	ga_ls7e_ard_3-1-0_094067_2006-11-29_final
2006-12-01 10:14:46	ga_ls7e_ard_3-1-0_101075_2006-12-01_final
2007-03-31 11:07:03	ga_ls7e_ard_3-1-0_109081_2007-03-31_final
2007-09-20 10:31:01	ga_ls7e_ard_3-1-0_104070_2007-09-20_final
2007-11-24 09:39:23	ga_ls7e_ard_3-1-0_095079_2007-11-24_final
2008-03-01 09:28:38	ga_ls7e_ard_3-1-0_093083_2008-02-29_final
2008-12-16 09:16:46	ga_ls7e_ard_3-1-0_091086_2008-12-15_final
2009-11-26 09:10:14	ga_ls7e_ard_3-1-0_090082_2009-11-25_final
2009-11-29 09:37:35	ga_ls7e_ard_3-1-0_095073_2009-11-29_final
2010-05-06 11:33:00	ga_ls7e_ard_3-1-0_113080_2010-05-06_final
2010-11-11 10:59:01	ga_ls7e_ard_3-1-0_108071_2010-11-11_final
2010-12-18 11:22:19	ga_ls7e_ard_3-1-0_111082_2010-12-18_final
2011-01-21 11:09:51	ga_ls7e_ard_3-1-0_109081_2011-01-21_final
2011-03-18 10:18:14	ga_ls7e_ard_3-1-0_101075_2011-03-18_final
2012-04-02 09:52:16	ga_ls7e_ard_3-1-0_096086_2012-04-02_final
2012-09-12 10:20:06	ga_ls7e_ard_3-1-0_101075_2012-09-12_final
2013-04-10 11:48:02	ga_ls7e_ard_3-1-0_115077_2013-04-10_final
2013-10-25 11:12:35	ga_ls7e_ard_3-1-0_109081_2013-10-25_final
2013-12-04 10:21:01	ga_ls7e_ard_3-1-0_101075_2013-12-04_final
2014-07-24 11:14:06	ga_ls7e_ard_3-1-0_109081_2014-07-24_final
2014-09-21 09:18:25	ga_ls7e_ard_3-1-0_090085_2014-09-20_final
2014-11-29 09:38:22	ga_ls7e_ard_3-1-0_093087_2014-11-29_final
2015-03-13 10:23:36	ga_ls7e_ard_3-1-0_101075_2015-03-13_final
2016-03-18 10:58:29	ga_ls7e_ard_3-1-0_106077_2016-03-18_final
2016-05-30 10:53:53	ga_ls7e_ard_3-1-0_105080_2016-05-30_final
2016-11-20 09:29:48	ga_ls7e_ard_3-1-0_091086_2016-11-19_final
2017-05-26 10:43:45	ga_ls7e_ard_3-1-0_104070_2017-05-26_final
2017-09-07 11:38:52	ga_ls7e_ard_3-1-0_112084_2017-09-07_final
2018-01-22 11:31:08	ga_ls7e_ard_3-1-0_111082_2018-01-22_final
2018-07-06 10:04:14	ga_ls7e_ard_3-1-0_098072_2018-07-06_final
2019-02-18 10:29:59	ga_ls7e_ard_3-1-0_103073_2019-02-18_final
2019-02-18 10:32:47	ga_ls7e_ard_3-1-0_103080_2019-02-18_final
2019-02-21 09:25:30	ga_ls7e_ard_3-1-0_092082_2019-02-20_final
2019-03-05 11:26:20	ga_ls7e_ard_3-1-0_112076_2019-03-05_final
2019-03-12 11:34:17	ga_ls7e_ard_3-1-0_113081_2019-03-12_final
2019-03-21 09:48:32	ga_ls7e_ard_3-1-0_096080_2019-03-21_final
2019-03-23 09:38:30	ga_ls7e_ard_3-1-0_094086_2019-03-23_final
2019-06-27 09:30:12	ga_ls7e_ard_3-1-0_094074_2019-06-27_final
2019-07-06 11:05:21	ga_ls7e_ard_3-1-0_109081_2019-07-06_final
2019-08-27 10:38:55	ga_ls7e_ard_3-1-0_105082_2019-08-27_final
2019-09-10 09:12:11	ga_ls7e_ard_3-1-0_091083_2019-09-09_final
2019-09-20 09:44:02	ga_ls7e_ard_3-1-0_097071_2019-09-20_final
2019-10-03 09:15:22	ga_ls7e_ard_3-1-0_092078_2019-10-02_final
2019-10-05 09:03:44	ga_ls7e_ard_3-1-0_090080_2019-10-04_final
2019-10-06 09:47:21	ga_ls7e_ard_3-1-0_097081_2019-10-06_final
2019-11-06 09:01:57	ga_ls7e_ard_3-1-0_090079_2019-11-05_final
2019-11-07 09:41:34	ga_ls7e_ard_3-1-0_097070_2019-11-07_final
2019-11-11 11:00:20	ga_ls7e_ard_3-1-0_109082_2019-11-11_final
2019-11-24 10:26:50	ga_ls7e_ard_3-1-0_104077_2019-11-24_final
2019-12-05 10:07:45	ga_ls7e_ard_3-1-0_101077_2019-12-05_final
2019-12-15 10:45:56	ga_ls7e_ard_3-1-0_107081_2019-12-15_final
2019-12-19 10:17:49	ga_ls7e_ard_3-1-0_103073_2019-12-19_final
2019-12-20 09:25:20	ga_ls7e_ard_3-1-0_094081_2019-12-19_final
2019-12-26 10:26:26	ga_ls7e_ard_3-1-0_104080_2019-12-26_final
2019-12-31 10:45:06	ga_ls7e_ard_3-1-0_107081_2019-12-31_final
2020-01-05 11:03:47	ga_ls7e_ard_3-1-0_110082_2020-01-05_final
2020-01-05 11:04:11	ga_ls7e_ard_3-1-0_110083_2020-01-05_final
2020-01-07 09:13:14	ga_ls7e_ard_3-1-0_092084_2020-01-06_final
2020-01-14 09:17:29	ga_ls7e_ard_3-1-0_093080_2020-01-13_final
2020-01-21 09:25:42	ga_ls7e_ard_3-1-0_094086_2020-01-20_final
2020-02-19 08:52:32	ga_ls7e_ard_3-1-0_089084_2020-02-18_final
2020-02-20 09:32:09	ga_ls7e_ard_3-1-0_096075_2020-02-20_final
2020-02-24 09:10:48	ga_ls7e_ard_3-1-0_092084_2020-02-23_final
2020-02-26 10:35:37	ga_ls7e_ard_3-1-0_106080_2020-02-26_final
2020-02-29 09:25:53	ga_ls7e_ard_3-1-0_095076_2020-02-28_final
2020-03-09 11:00:06	ga_ls7e_ard_3-1-0_110081_2020-03-09_final
2020-03-16 09:27:49	ga_ls7e_ard_3-1-0_095083_2020-03-15_final
2020-03-22 10:24:53	ga_ls7e_ard_3-1-0_105072_2020-03-22_final
2020-04-20 09:53:56	ga_ls7e_ard_3-1-0_100076_2020-04-20_final
2021-03-24 10:57:22	ga_ls7e_ard_3-2-0_114075_2021-03-24_final
2021-04-06 08:48:55	ga_ls7e_ard_3-2-0_093081_2021-04-05_final
2021-05-28 08:20:13	ga_ls7e_ard_3-2-0_089082_2021-05-27_final
2021-06-05 09:04:35	ga_ls7e_ard_3-2-0_097071_2021-06-04_final
2021-07-06 08:24:46	ga_ls7e_ard_3-2-0_090086_2021-07-05_final
2021-08-15 09:10:18	ga_ls7e_ard_3-2-0_098085_2021-08-14_final
2021-08-23 08:17:23	ga_ls7e_ard_3-2-0_090078_2021-08-22_final
2021-09-04 10:17:09	ga_ls7e_ard_3-2-0_110071_2021-09-04_final
2021-10-22 08:32:25	ga_ls7e_ard_3-2-0_094067_2021-10-21_final
2021-11-06 09:28:14	ga_ls7e_ard_3-2-0_103071_2021-11-05_final
2021-11-15 09:23:34	ga_ls7e_ard_3-2-1_102077_2021-11-14_final
2021-11-16 10:08:44	ga_ls7e_ard_3-2-1_109082_2021-11-16_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-11-27 09:45:32	ga_ls7e_ard_3-2-1_106073_2021-11-27_final
2021-11-29 09:33:23	ga_ls7e_ard_3-2-1_104074_2021-11-29_final
2021-12-03 09:08:42	ga_ls7e_ard_3-2-1_100075_2021-12-02_final
2021-12-12 09:04:28	ga_ls7e_ard_3-2-1_099082_2021-12-11_final
2021-12-23 08:46:03	ga_ls7e_ard_3-2-1_096085_2021-12-22_final
2022-01-03 08:24:24	ga_ls7e_ard_3-2-1_093080_2022-01-02_final
2022-01-07 09:35:23	ga_ls7e_ard_3-2-1_105073_2022-01-07_final
2022-01-10 08:32:19	ga_ls7e_ard_3-2-1_094086_2022-01-09_final
2022-01-12 09:57:03	ga_ls7e_ard_3-2-1_108082_2022-01-12_final
2022-02-04 08:22:54	ga_ls7e_ard_3-2-1_093084_2022-02-03_final
2022-02-16 08:45:35	ga_ls7e_ard_3-2-1_097082_2022-02-15_final
2022-02-16 10:22:04	ga_ls7e_ard_3-2-1_113076_2022-02-16_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