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
2000-10-21 11:06:44	ga_ls7e_ard_3-1-0_109081_2000-10-21_final
2001-08-14 10:56:48	ga_ls7e_ard_3-1-0_108075_2001-08-14_final
2001-12-25 11:17:58	ga_ls7e_ard_3-1-0_111082_2001-12-25_final
2002-02-11 11:18:11	ga_ls7e_ard_3-1-0_111082_2002-02-11_final
2002-02-23 11:40:54	ga_ls7e_ard_3-1-0_115077_2002-02-23_final
2002-11-12 11:04:23	ga_ls7e_ard_3-1-0_109081_2002-11-12_final
2003-01-25 11:40:30	ga_ls7e_ard_3-1-0_115077_2003-01-25_final
2003-04-23 09:15:59	ga_ls7e_ard_3-1-0_091086_2003-04-22_final
2003-08-21 11:40:24	ga_ls7e_ard_3-1-0_115077_2003-08-21_final
2005-11-28 10:14:15	ga_ls7e_ard_3-1-0_101075_2005-11-28_final
2006-07-02 11:06:25	ga_ls7e_ard_3-1-0_109081_2006-07-02_final
2006-07-10 10:14:31	ga_ls7e_ard_3-1-0_101075_2006-07-10_final
2006-10-08 09:14:37	ga_ls7e_ard_3-1-0_091081_2006-10-07_final
2006-11-16 10:56:17	ga_ls7e_ard_3-1-0_108071_2006-11-16_final
2007-04-29 10:35:17	ga_ls7e_ard_3-1-0_104079_2007-04-29_final
2008-03-31 09:39:21	ga_ls7e_ard_3-1-0_095079_2008-03-31_final
2008-08-04 09:49:35	ga_ls7e_ard_3-1-0_097076_2008-08-04_final
2008-12-06 10:14:05	ga_ls7e_ard_3-1-0_101075_2008-12-06_final
2009-01-10 10:45:15	ga_ls7e_ard_3-1-0_106075_2009-01-10_final
2009-11-19 09:03:34	ga_ls7e_ard_3-1-0_089081_2009-11-18_final
2010-01-19 10:11:40	ga_ls7e_ard_3-1-0_100079_2010-01-19_final
2010-02-26 09:36:37	ga_ls7e_ard_3-1-0_094083_2010-02-26_final
2010-03-15 10:16:49	ga_ls7e_ard_3-1-0_101075_2010-03-15_final
2011-03-01 09:31:45	ga_ls7e_ard_3-1-0_094067_2011-03-01_final
2011-03-10 09:30:00	ga_ls7e_ard_3-1-0_093078_2011-03-10_final
2011-03-29 10:01:44	ga_ls7e_ard_3-1-0_098080_2011-03-29_final
2012-09-01 10:36:32	ga_ls7e_ard_3-1-0_104070_2012-09-01_final
2014-05-30 09:30:02	ga_ls7e_ard_3-1-0_092084_2014-05-30_final
2014-12-06 09:36:37	ga_ls7e_ard_3-1-0_094067_2014-12-06_final
2015-02-28 09:18:21	ga_ls7e_ard_3-1-0_090082_2015-02-27_final
2015-08-03 09:44:24	ga_ls7e_ard_3-1-0_094083_2015-08-03_final
2016-01-14 09:21:06	ga_ls7e_ard_3-1-0_090082_2016-01-13_final
2016-01-15 10:01:59	ga_ls7e_ard_3-1-0_097076_2016-01-15_final
2016-07-13 11:19:04	ga_ls7e_ard_3-1-0_109081_2016-07-13_final
2016-08-08 11:54:37	ga_ls7e_ard_3-1-0_115077_2016-08-08_final
2016-10-30 10:43:54	ga_ls7e_ard_3-1-0_104070_2016-10-30_final
2016-11-29 10:58:54	ga_ls7e_ard_3-1-0_106077_2016-11-29_final
2017-05-10 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-05-10_final
2018-01-16 10:26:38	ga_ls7e_ard_3-1-0_101075_2018-01-16_final
2018-04-12 11:30:04	ga_ls7e_ard_3-1-0_111082_2018-04-12_final
2019-02-24 09:55:31	ga_ls7e_ard_3-1-0_097080_2019-02-24_final
2019-02-26 11:17:11	ga_ls7e_ard_3-1-0_111068_2019-02-26_final
2019-03-13 10:36:38	ga_ls7e_ard_3-1-0_104076_2019-03-13_final
2019-08-25 10:49:21	ga_ls7e_ard_3-1-0_107077_2019-08-25_final
2019-08-28 09:43:39	ga_ls7e_ard_3-1-0_096083_2019-08-28_final
2019-09-08 09:23:50	ga_ls7e_ard_3-1-0_093081_2019-09-07_final
2019-09-11 09:54:36	ga_ls7e_ard_3-1-0_098081_2019-09-11_final
2019-09-13 11:21:02	ga_ls7e_ard_3-1-0_112081_2019-09-13_final
2019-09-15 11:06:35	ga_ls7e_ard_3-1-0_110076_2019-09-15_final
2019-09-28 10:33:31	ga_ls7e_ard_3-1-0_105072_2019-09-28_final
2019-10-12 10:47:18	ga_ls7e_ard_3-1-0_107077_2019-10-12_final
2019-10-14 10:32:52	ga_ls7e_ard_3-1-0_105072_2019-10-14_final
2019-10-19 10:53:59	ga_ls7e_ard_3-1-0_108079_2019-10-19_final
2019-10-20 11:36:00	ga_ls7e_ard_3-1-0_115076_2019-10-20_final
2019-10-28 09:10:32	ga_ls7e_ard_3-1-0_091084_2019-10-27_final
2019-11-12 10:04:16	ga_ls7e_ard_3-1-0_100081_2019-11-12_final
2019-11-16 09:39:46	ga_ls7e_ard_3-1-0_096082_2019-11-16_final
2019-12-08 09:00:50	ga_ls7e_ard_3-1-0_090080_2019-12-07_final
2019-12-17 10:33:04	ga_ls7e_ard_3-1-0_105080_2019-12-17_final
2019-12-19 10:19:25	ga_ls7e_ard_3-1-0_103077_2019-12-19_final
2019-12-22 09:10:53	ga_ls7e_ard_3-1-0_092076_2019-12-21_final
2019-12-26 10:22:50	ga_ls7e_ard_3-1-0_104071_2019-12-26_final
2019-12-29 10:53:11	ga_ls7e_ard_3-1-0_109070_2019-12-29_final
2020-01-14 09:18:40	ga_ls7e_ard_3-1-0_093083_2020-01-13_final
2020-01-15 10:01:05	ga_ls7e_ard_3-1-0_100081_2020-01-15_final
2020-01-17 11:25:31	ga_ls7e_ard_3-1-0_114076_2020-01-17_final
2020-02-10 08:58:23	ga_ls7e_ard_3-1-0_090082_2020-02-09_final
2020-02-19 10:28:37	ga_ls7e_ard_3-1-0_105077_2020-02-19_final
2020-03-02 10:52:42	ga_ls7e_ard_3-1-0_109077_2020-03-02_final
2020-03-18 10:53:25	ga_ls7e_ard_3-1-0_109081_2020-03-18_final
2020-03-28 09:47:52	ga_ls7e_ard_3-1-0_099073_2020-03-28_final
2020-03-30 11:16:41	ga_ls7e_ard_3-1-0_113079_2020-03-30_final
2020-04-06 11:22:27	ga_ls7e_ard_3-1-0_114079_2020-04-06_final
2020-04-26 09:18:29	ga_ls7e_ard_3-1-0_094081_2020-04-25_final
2021-02-24 08:59:34	ga_ls7e_ard_3-2-0_094084_2021-02-23_final
2021-02-26 08:45:03	ga_ls7e_ard_3-2-0_092079_2021-02-25_final
2021-03-19 09:01:09	ga_ls7e_ard_3-2-0_095077_2021-03-18_final
2021-03-24 10:58:34	ga_ls7e_ard_3-2-0_114078_2021-03-24_final
2021-04-14 09:34:30	ga_ls7e_ard_3-2-0_101073_2021-04-14_final
2021-04-22 08:47:34	ga_ls7e_ard_3-2-0_093081_2021-04-21_final
2021-05-06 08:58:22	ga_ls7e_ard_3-2-0_095080_2021-05-05_final
2021-05-24 08:44:05	ga_ls7e_ard_3-2-0_093079_2021-05-23_final
2021-05-24 10:24:09	ga_ls7e_ard_3-2-0_109082_2021-05-24_final
2021-06-05 10:47:03	ga_ls7e_ard_3-2-0_113080_2021-06-05_final
2021-06-16 08:47:57	ga_ls7e_ard_3-2-0_094078_2021-06-15_final
2021-06-22 09:46:52	ga_ls7e_ard_3-2-0_104072_2021-06-22_final
2021-06-22 09:47:39	ga_ls7e_ard_3-2-0_104074_2021-06-22_final
2021-07-17 09:41:22	ga_ls7e_ard_3-2-0_103079_2021-07-17_final
2021-07-31 09:48:55	ga_ls7e_ard_3-2-0_105070_2021-07-31_final
2021-08-28 08:34:18	ga_ls7e_ard_3-2-0_093075_2021-08-27_final
2021-08-28 10:11:59	ga_ls7e_ard_3-2-0_109072_2021-08-28_final
2021-08-28 10:16:46	ga_ls7e_ard_3-2-0_109084_2021-08-28_final
2021-09-04 08:39:52	ga_ls7e_ard_3-2-0_094075_2021-09-03_final
2021-09-25 08:55:45	ga_ls7e_ard_3-2-0_097073_2021-09-24_final
2021-11-13 09:36:32	ga_ls7e_ard_3-2-1_104078_2021-11-13_final
2021-12-29 08:06:22	ga_ls7e_ard_3-2-1_090080_2021-12-28_final
2021-12-30 10:26:49	ga_ls7e_ard_3-2-1_113076_2021-12-30_final
2022-01-15 10:25:16	ga_ls7e_ard_3-2-1_113076_2022-01-15_final
2022-01-22 10:31:11	ga_ls7e_ard_3-2-1_114077_2022-01-22_final
2022-01-26 10:06:04	ga_ls7e_ard_3-2-1_110077_2022-01-26_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