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
1999-09-18 10:09:45	ga_ls7e_ard_3-1-0_100071_1999-09-18_final
2000-10-21 09:30:15	ga_ls7e_ard_3-1-0_093087_2000-10-21_final
2000-11-22 09:29:56	ga_ls7e_ard_3-1-0_093086_2000-11-21_final
2002-08-25 10:10:08	ga_ls7e_ard_3-1-0_100084_2002-08-25_final
2002-11-09 10:29:07	ga_ls7e_ard_3-1-0_104070_2002-11-09_final
2003-08-28 10:09:16	ga_ls7e_ard_3-1-0_100081_2003-08-28_final
2003-11-22 09:30:05	ga_ls7e_ard_3-1-0_094075_2003-11-22_final
2004-05-15 10:27:50	ga_ls7e_ard_3-1-0_103079_2004-05-15_final
2005-02-06 10:10:25	ga_ls7e_ard_3-1-0_100081_2005-02-06_final
2005-02-22 10:10:32	ga_ls7e_ard_3-1-0_100081_2005-02-22_final
2005-04-01 09:34:16	ga_ls7e_ard_3-1-0_094083_2005-04-01_final
2005-04-07 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-04-07_final
2006-03-01 11:23:33	ga_ls7e_ard_3-1-0_112077_2006-03-01_final
2007-10-22 10:31:06	ga_ls7e_ard_3-1-0_104070_2007-10-22_final
2007-11-17 09:34:45	ga_ls7e_ard_3-1-0_094083_2007-11-17_final
2008-04-15 10:31:21	ga_ls7e_ard_3-1-0_104070_2008-04-15_final
2009-03-05 10:10:58	ga_ls7e_ard_3-1-0_100081_2009-03-05_final
2009-08-27 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-26_final
2012-02-09 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-02-09_final
2012-04-26 10:35:33	ga_ls7e_ard_3-1-0_104070_2012-04-26_final
2012-05-06 09:39:11	ga_ls7e_ard_3-1-0_094083_2012-05-06_final
2013-01-07 10:37:23	ga_ls7e_ard_3-1-0_104070_2013-01-07_final
2013-02-08 10:37:26	ga_ls7e_ard_3-1-0_104070_2013-02-08_final
2013-02-18 09:40:48	ga_ls7e_ard_3-1-0_094083_2013-02-18_final
2013-03-12 10:37:22	ga_ls7e_ard_3-1-0_104070_2013-03-12_final
2013-09-07 09:33:59	ga_ls7e_ard_3-1-0_093083_2013-09-07_final
2013-11-01 09:40:41	ga_ls7e_ard_3-1-0_094083_2013-11-01_final
2013-12-19 09:40:56	ga_ls7e_ard_3-1-0_094083_2013-12-19_final
2013-12-29 10:17:19	ga_ls7e_ard_3-1-0_100081_2013-12-29_final
2014-10-12 09:36:23	ga_ls7e_ard_3-1-0_093083_2014-10-12_final
2014-11-04 09:42:49	ga_ls7e_ard_3-1-0_094083_2014-11-04_final
2015-04-19 10:40:27	ga_ls7e_ard_3-1-0_104070_2015-04-19_final
2016-02-17 10:43:06	ga_ls7e_ard_3-1-0_104070_2016-02-17_final
2016-09-06 09:47:19	ga_ls7e_ard_3-1-0_094083_2016-09-06_final
2016-09-28 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-09-28_final
2018-02-22 10:42:41	ga_ls7e_ard_3-1-0_104070_2018-02-22_final
2018-06-24 09:42:57	ga_ls7e_ard_3-1-0_094080_2018-06-24_final
2018-06-30 10:44:14	ga_ls7e_ard_3-1-0_104079_2018-06-30_final
2018-10-14 09:41:50	ga_ls7e_ard_3-1-0_094083_2018-10-14_final
2019-03-06 10:30:17	ga_ls7e_ard_3-1-0_103075_2019-03-06_final
2019-03-18 10:53:25	ga_ls7e_ard_3-1-0_107072_2019-03-18_final
2019-03-18 10:57:01	ga_ls7e_ard_3-1-0_107081_2019-03-18_final
2019-03-22 10:31:21	ga_ls7e_ard_3-1-0_103079_2019-03-22_final
2019-04-14 10:33:09	ga_ls7e_ard_3-1-0_104070_2019-04-14_final
2019-07-13 09:29:59	ga_ls7e_ard_3-1-0_094075_2019-07-12_final
2019-08-25 10:49:45	ga_ls7e_ard_3-1-0_107078_2019-08-25_final
2019-08-29 10:23:16	ga_ls7e_ard_3-1-0_103074_2019-08-29_final
2019-09-05 10:31:09	ga_ls7e_ard_3-1-0_104079_2019-09-05_final
2019-09-10 10:47:04	ga_ls7e_ard_3-1-0_107073_2019-09-10_final
2019-09-21 10:30:02	ga_ls7e_ard_3-1-0_104078_2019-09-21_final
2019-09-24 09:23:31	ga_ls7e_ard_3-1-0_093082_2019-09-23_final
2019-10-07 10:28:10	ga_ls7e_ard_3-1-0_104075_2019-10-07_final
2019-10-07 10:29:22	ga_ls7e_ard_3-1-0_104078_2019-10-07_final
2019-10-07 10:29:46	ga_ls7e_ard_3-1-0_104079_2019-10-07_final
2019-10-10 09:21:40	ga_ls7e_ard_3-1-0_093079_2019-10-09_final
2019-10-16 10:20:49	ga_ls7e_ard_3-1-0_103073_2019-10-16_final
2019-10-16 10:21:13	ga_ls7e_ard_3-1-0_103074_2019-10-16_final
2019-10-26 09:21:23	ga_ls7e_ard_3-1-0_093080_2019-10-25_final
2019-11-02 09:26:51	ga_ls7e_ard_3-1-0_094079_2019-11-01_final
2019-11-08 10:26:47	ga_ls7e_ard_3-1-0_104075_2019-11-08_final
2019-11-11 09:21:03	ga_ls7e_ard_3-1-0_093081_2019-11-10_final
2019-11-12 10:03:28	ga_ls7e_ard_3-1-0_100079_2019-11-12_final
2019-11-18 09:24:31	ga_ls7e_ard_3-1-0_094075_2019-11-17_final
2019-11-24 10:28:02	ga_ls7e_ard_3-1-0_104080_2019-11-24_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-12-23 09:53:17	ga_ls7e_ard_3-1-0_099074_2019-12-23_final
2020-01-14 09:17:29	ga_ls7e_ard_3-1-0_093080_2020-01-13_final
2020-02-15 09:16:40	ga_ls7e_ard_3-1-0_093082_2020-02-14_final
2020-02-15 09:17:04	ga_ls7e_ard_3-1-0_093083_2020-02-14_final
2020-02-17 10:39:29	ga_ls7e_ard_3-1-0_107073_2020-02-17_final
2020-02-21 10:15:21	ga_ls7e_ard_3-1-0_103075_2020-02-21_final
2020-03-08 10:14:30	ga_ls7e_ard_3-1-0_103075_2020-03-08_final
2020-03-15 10:21:53	ga_ls7e_ard_3-1-0_104079_2020-03-15_final
2020-03-18 09:14:57	ga_ls7e_ard_3-1-0_093082_2020-03-17_final
2020-03-25 09:21:08	ga_ls7e_ard_3-1-0_094083_2020-03-24_final
2020-03-28 09:48:16	ga_ls7e_ard_3-1-0_099074_2020-03-28_final
2020-03-28 09:49:04	ga_ls7e_ard_3-1-0_099076_2020-03-28_final
2020-04-10 09:18:38	ga_ls7e_ard_3-1-0_094079_2020-04-09_final
2020-04-13 09:47:22	ga_ls7e_ard_3-1-0_099074_2020-04-13_final
2020-04-16 10:16:05	ga_ls7e_ard_3-1-0_104069_2020-04-16_final
2020-04-19 09:09:56	ga_ls7e_ard_3-1-0_093074_2020-04-18_final
2020-04-21 10:35:32	ga_ls7e_ard_3-1-0_107072_2020-04-21_final
2020-04-26 09:16:53	ga_ls7e_ard_3-1-0_094077_2020-04-25_final
2020-04-26 09:18:53	ga_ls7e_ard_3-1-0_094082_2020-04-25_final
2020-04-29 09:46:25	ga_ls7e_ard_3-1-0_099074_2020-04-29_final
2020-04-29 09:46:49	ga_ls7e_ard_3-1-0_099075_2020-04-29_final
2022-03-13 08:37:23	ga_ls7e_ard_3-2-1_096083_2022-03-12_final
2022-03-13 10:13:04	ga_ls7e_ard_3-2-1_112075_2022-03-13_final
2022-03-13 10:13:52	ga_ls7e_ard_3-2-1_112077_2022-03-13_final
2022-03-13 10:14:15	ga_ls7e_ard_3-2-1_112078_2022-03-13_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-20 10:18:56	ga_ls7e_ard_3-2-1_113076_2022-03-20_final
2022-03-22 08:27:31	ga_ls7e_ard_3-2-1_095076_2022-03-21_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_final
2022-03-27 08:47:59	ga_ls7e_ard_3-2-1_098082_2022-03-26_final
2022-03-29 08:33:50	ga_ls7e_ard_3-2-1_096078_2022-03-28_final
2022-03-30 09:13:49	ga_ls7e_ard_3-2-1_103070_2022-03-29_final
2022-03-31 08:20:29	ga_ls7e_ard_3-2-1_094076_2022-03-30_final
2022-04-02 08:09:08	ga_ls7e_ard_3-2-1_092079_2022-04-01_final
2022-04-04 07:56:58	ga_ls7e_ard_3-2-1_090080_2022-04-03_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