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
2000-03-25 09:39:23	ga_ls7e_ard_3-1-0_095073_2000-03-25_final
2001-03-12 09:34:43	ga_ls7e_ard_3-0-0_095067_2001-03-12_final
2001-07-02 09:35:45	ga_ls7e_ard_3-0-0_095072_2001-07-02_final
2003-03-18 09:35:07	ga_ls7e_ard_3-0-0_095072_2003-03-18_final
2003-12-31 09:38:30	ga_ls7e_ard_3-0-0_095080_2003-12-31_final
2005-04-08 09:41:36	ga_ls7e_ard_3-0-0_095086_2005-04-08_final
2005-06-27 09:41:47	ga_ls7e_ard_3-0-0_095087_2005-06-27_final
2006-11-05 09:39:24	ga_ls7e_ard_3-0-0_095080_2006-11-05_final
2007-08-20 09:37:36	ga_ls7e_ard_3-0-0_095075_2007-08-20_final
2008-06-19 09:36:06	ga_ls7e_ard_3-0-0_095072_2008-06-19_final
2008-07-21 09:41:19	ga_ls7e_ard_3-0-0_095086_2008-07-21_final
2008-10-25 09:35:38	ga_ls7e_ard_3-1-0_095073_2008-10-25_final
2009-03-02 09:36:27	ga_ls7e_ard_3-0-0_095072_2009-03-02_final
2010-03-21 09:38:58	ga_ls7e_ard_3-1-0_095073_2010-03-21_final
2011-04-09 09:38:02	ga_ls7e_ard_3-0-0_095067_2011-04-09_final
2012-01-06 09:46:25	ga_ls7e_ard_3-0-0_095087_2012-01-06_final
2012-03-10 09:38:29	ga_ls7e_ard_3-0-0_095067_2012-03-10_final
2012-05-13 09:45:54	ga_ls7e_ard_3-0-0_095084_2012-05-13_final
2013-07-03 09:47:30	ga_ls7e_ard_3-0-0_095086_2013-07-03_final
2013-12-10 09:48:44	ga_ls7e_ard_3-0-0_095087_2013-12-10_final
2014-02-28 09:43:31	ga_ls7e_ard_3-1-0_095073_2014-02-28_final
2014-08-06 09:04:23	ga_ls7e_ard_3-0-0_088081_2014-08-05_final
2015-10-13 09:52:09	ga_ls7e_ard_3-0-0_095086_2015-10-13_final
2016-02-18 09:46:17	ga_ls7e_ard_3-0-0_095067_2016-02-18_final
2016-03-21 09:48:56	ga_ls7e_ard_3-1-0_095073_2016-03-21_final
2017-04-09 09:48:42	ga_ls7e_ard_3-0-0_095072_2017-04-09_final
2017-07-14 09:54:39	ga_ls7e_ard_3-0-0_095086_2017-07-14_final
2018-02-23 09:47:50	ga_ls7e_ard_3-0-0_095072_2018-02-23_final
2018-09-19 09:49:49	ga_ls7e_ard_3-0-0_095086_2018-09-19_final
2019-01-09 09:39:24	ga_ls7e_ard_3-0-0_095067_2019-01-09_final
2019-04-15 09:38:41	ga_ls7e_ard_3-1-0_095073_2019-04-15_final
2019-10-08 09:36:54	ga_ls7e_ard_3-1-0_095086_2019-10-08_final
2019-10-08 09:37:18	ga_ls7e_ard_3-1-0_095087_2019-10-08_final
2019-12-27 09:28:22	ga_ls7e_ard_3-1-0_095074_2019-12-26_final
2020-08-23 09:19:49	ga_ls7e_ard_3-1-0_095087_2020-08-22_final
2020-09-20 11:17:59	ga_ls7e_ard_3-1-0_115078_2020-09-20_final
2021-02-10 08:49:52	ga_ls7e_ard_3-2-0_092088_2021-02-09_final
2021-02-17 10:28:01	ga_ls7e_ard_3-2-0_109072_2021-02-17_final
2021-02-20 09:24:59	ga_ls7e_ard_3-2-0_098085_2021-02-19_final
2021-02-21 08:29:42	ga_ls7e_ard_3-2-0_089086_2021-02-20_final
2021-02-21 10:03:47	ga_ls7e_ard_3-2-0_105074_2021-02-21_final
2021-02-27 11:06:19	ga_ls7e_ard_3-2-0_115077_2021-02-27_final
2021-03-03 09:06:00	ga_ls7e_ard_3-2-0_095086_2021-03-02_final
2021-03-08 09:16:34	ga_ls7e_ard_3-2-0_098067_2021-03-07_final
2021-03-17 09:10:52	ga_ls7e_ard_3-2-0_097070_2021-03-16_final
2021-03-17 09:14:04	ga_ls7e_ard_3-2-0_097078_2021-03-16_final
2021-03-24 09:15:18	ga_ls7e_ard_3-2-0_098067_2021-03-23_final
2021-03-30 08:45:19	ga_ls7e_ard_3-2-0_092086_2021-03-29_final
2021-04-16 09:25:58	ga_ls7e_ard_3-2-0_099083_2021-04-15_final
2021-05-01 10:15:07	ga_ls7e_ard_3-2-0_108070_2021-05-01_final
2021-05-04 09:12:53	ga_ls7e_ard_3-2-0_097085_2021-05-03_final
2021-05-06 10:34:03	ga_ls7e_ard_3-2-0_111072_2021-05-06_final
2021-05-27 09:16:19	ga_ls7e_ard_3-2-0_098083_2021-05-26_final
2021-06-03 10:58:47	ga_ls7e_ard_3-2-0_115078_2021-06-03_final
2021-06-07 10:32:09	ga_ls7e_ard_3-2-0_111074_2021-06-07_final
2021-06-09 10:19:37	ga_ls7e_ard_3-2-0_109074_2021-06-09_final
2021-06-13 08:16:54	ga_ls7e_ard_3-2-0_089077_2021-06-12_final
2021-06-13 08:17:18	ga_ls7e_ard_3-2-0_089078_2021-06-12_final
2021-06-16 08:46:45	ga_ls7e_ard_3-2-0_094075_2021-06-15_final
2021-06-21 10:40:34	ga_ls7e_ard_3-2-0_113067_2021-06-21_final
2021-07-02 10:25:06	ga_ls7e_ard_3-2-0_110077_2021-07-02_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-07 09:07:32	ga_ls7e_ard_3-2-0_097085_2021-07-06_final
2021-07-11 08:43:16	ga_ls7e_ard_3-2-0_093087_2021-07-10_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-07-16 10:38:16	ga_ls7e_ard_3-2-0_112082_2021-07-16_final
2021-07-22 08:24:59	ga_ls7e_ard_3-2-0_090090_2021-07-21_final
2021-07-27 08:41:06	ga_ls7e_ard_3-2-0_093085_2021-07-26_final
2021-08-16 08:15:00	ga_ls7e_ard_3-2-0_089086_2021-08-15_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-09-02 08:49:13	ga_ls7e_ard_3-2-0_096067_2021-09-01_final
2021-09-06 08:32:31	ga_ls7e_ard_3-2-0_092088_2021-09-05_final
2021-09-08 08:20:47	ga_ls7e_ard_3-2-0_090090_2021-09-07_final
2021-09-12 09:25:49	ga_ls7e_ard_3-2-0_102068_2021-09-11_final
2021-09-17 09:49:29	ga_ls7e_ard_3-2-0_105082_2021-09-17_final
2021-09-27 08:40:48	ga_ls7e_ard_3-2-0_095067_2021-09-26_final
2021-11-30 10:15:22	ga_ls7e_ard_3-2-1_111071_2021-11-30_final
2021-12-01 09:19:15	ga_ls7e_ard_3-2-1_102070_2021-11-30_final
2021-12-03 09:12:17	ga_ls7e_ard_3-2-1_100084_2021-12-02_final
2021-12-09 10:13:07	ga_ls7e_ard_3-2-1_110083_2021-12-09_final
2021-12-19 09:10:46	ga_ls7e_ard_3-2-1_100084_2021-12-18_final
2021-12-21 08:52:13	ga_ls7e_ard_3-2-1_098069_2021-12-20_final
2022-01-01 08:39:22	ga_ls7e_ard_3-2-1_095086_2021-12-31_final
2022-01-03 09:59:41	ga_ls7e_ard_3-2-1_109071_2022-01-03_final
2022-01-05 08:13:02	ga_ls7e_ard_3-2-1_091083_2022-01-04_final
2022-01-06 10:34:17	ga_ls7e_ard_3-2-1_114081_2022-01-06_final
2022-01-10 10:08:48	ga_ls7e_ard_3-2-1_110080_2022-01-10_final
2022-01-17 08:37:50	ga_ls7e_ard_3-2-1_095086_2022-01-16_final
2022-01-17 10:11:07	ga_ls7e_ard_3-2-1_111072_2022-01-17_final
2022-01-23 07:57:47	ga_ls7e_ard_3-2-1_089080_2022-01-22_final
2022-01-27 09:10:21	ga_ls7e_ard_3-2-1_101077_2022-01-26_final
2022-01-31 08:48:26	ga_ls7e_ard_3-2-1_097085_2022-01-30_final
2022-01-31 10:22:55	ga_ls7e_ard_3-2-1_113074_2022-01-31_final
2022-02-07 08:51:06	ga_ls7e_ard_3-2-1_098078_2022-02-06_final
2022-02-09 10:15:49	ga_ls7e_ard_3-2-1_112074_2022-02-09_final
2022-02-18 10:08:19	ga_ls7e_ard_3-2-1_111073_2022-02-18_final
2022-02-25 10:17:02	ga_ls7e_ard_3-2-1_112081_2022-02-25_final
2022-03-02 08:55:49	ga_ls7e_ard_3-2-1_099080_2022-03-01_final
2022-03-09 09:02:06	ga_ls7e_ard_3-2-1_100082_2022-03-08_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