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
1999-08-13 10:34:07	ga_ls7e_ard_3-1-0_104070_1999-08-13_final
2001-11-03 10:00:40	ga_ls7e_ard_3-1-0_099075_2001-11-03_final
2001-11-06 10:29:37	ga_ls7e_ard_3-1-0_104070_2001-11-06_final
2001-12-21 10:01:00	ga_ls7e_ard_3-1-0_099075_2001-12-21_final
2002-02-26 10:30:10	ga_ls7e_ard_3-1-0_104070_2002-02-26_final
2002-09-15 10:27:40	ga_ls7e_ard_3-1-0_103082_2002-09-15_final
2002-10-08 10:28:55	ga_ls7e_ard_3-1-0_104070_2002-10-08_final
2002-12-31 10:09:14	ga_ls7e_ard_3-1-0_100081_2002-12-31_final
2003-02-07 09:33:15	ga_ls7e_ard_3-1-0_094083_2003-02-07_final
2003-10-05 09:29:59	ga_ls7e_ard_3-1-0_094076_2003-10-04_final
2003-11-22 09:30:05	ga_ls7e_ard_3-1-0_094075_2003-11-22_final
2004-01-09 09:33:32	ga_ls7e_ard_3-1-0_094083_2004-01-09_final
2004-02-10 09:33:43	ga_ls7e_ard_3-1-0_094083_2004-02-10_final
2004-11-24 09:33:39	ga_ls7e_ard_3-1-0_094083_2004-11-24_final
2005-02-18 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-02-18_final
2006-04-20 09:34:36	ga_ls7e_ard_3-1-0_094083_2006-04-20_final
2006-06-29 10:34:44	ga_ls7e_ard_3-1-0_104079_2006-06-29_final
2007-02-18 09:35:03	ga_ls7e_ard_3-1-0_094083_2007-02-18_final
2007-07-21 09:28:36	ga_ls7e_ard_3-1-0_093083_2007-07-20_final
2008-02-05 09:34:56	ga_ls7e_ard_3-1-0_094083_2008-02-05_final
2008-04-15 10:31:21	ga_ls7e_ard_3-1-0_104070_2008-04-15_final
2011-05-13 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-05-13_final
2011-11-18 10:34:50	ga_ls7e_ard_3-1-0_104070_2011-11-18_final
2012-04-18 11:27:32	ga_ls7e_ard_3-1-0_112077_2012-04-18_final
2012-07-15 10:39:36	ga_ls7e_ard_3-1-0_104079_2012-07-15_final
2013-01-27 10:17:06	ga_ls7e_ard_3-1-0_100081_2013-01-27_final
2013-02-02 09:40:49	ga_ls7e_ard_3-1-0_094083_2013-02-02_final
2013-12-09 10:37:35	ga_ls7e_ard_3-1-0_104070_2013-12-09_final
2013-12-28 09:34:51	ga_ls7e_ard_3-1-0_093083_2013-12-28_final
2014-10-28 09:36:32	ga_ls7e_ard_3-1-0_093083_2014-10-28_final
2015-01-29 10:39:53	ga_ls7e_ard_3-1-0_104070_2015-01-29_final
2015-02-08 09:43:18	ga_ls7e_ard_3-1-0_094083_2015-02-08_final
2015-04-03 10:40:19	ga_ls7e_ard_3-1-0_104070_2015-04-03_final
2015-05-21 10:40:41	ga_ls7e_ard_3-1-0_104070_2015-05-21_final
2015-10-15 09:38:38	ga_ls7e_ard_3-1-0_093083_2015-10-15_final
2015-11-23 09:45:26	ga_ls7e_ard_3-1-0_094083_2015-11-23_final
2016-01-26 09:46:22	ga_ls7e_ard_3-1-0_094083_2016-01-26_final
2017-04-11 09:40:44	ga_ls7e_ard_3-1-0_093083_2017-04-11_final
2017-06-14 09:41:03	ga_ls7e_ard_3-1-0_093083_2017-06-14_final
2017-09-15 10:47:24	ga_ls7e_ard_3-1-0_104079_2017-09-15_final
2017-09-18 09:41:00	ga_ls7e_ard_3-1-0_093083_2017-09-18_final
2017-12-08 10:23:20	ga_ls7e_ard_3-1-0_100081_2017-12-08_final
2019-02-19 09:35:56	ga_ls7e_ard_3-1-0_094077_2019-02-19_final
2019-02-23 09:12:41	ga_ls7e_ard_3-1-0_090081_2019-02-22_final
2019-02-25 10:39:09	ga_ls7e_ard_3-1-0_104081_2019-02-25_final
2019-02-28 09:29:52	ga_ls7e_ard_3-1-0_093078_2019-02-27_final
2019-03-02 10:55:08	ga_ls7e_ard_3-1-0_107075_2019-03-02_final
2019-03-10 10:05:02	ga_ls7e_ard_3-1-0_099074_2019-03-10_final
2019-03-13 10:37:50	ga_ls7e_ard_3-1-0_104079_2019-03-13_final
2019-03-29 10:36:54	ga_ls7e_ard_3-1-0_104078_2019-03-29_final
2019-08-18 09:06:35	ga_ls7e_ard_3-1-0_090082_2019-08-17_final
2019-08-28 11:21:20	ga_ls7e_ard_3-1-0_112080_2019-08-28_final
2019-08-29 10:24:28	ga_ls7e_ard_3-1-0_103077_2019-08-29_final
2019-08-30 09:28:48	ga_ls7e_ard_3-1-0_094077_2019-08-29_final
2019-08-30 09:29:36	ga_ls7e_ard_3-1-0_094079_2019-08-29_final
2019-09-05 10:31:32	ga_ls7e_ard_3-1-0_104080_2019-09-05_final
2019-09-10 10:46:40	ga_ls7e_ard_3-1-0_107072_2019-09-10_final
2019-09-14 10:22:58	ga_ls7e_ard_3-1-0_103075_2019-09-14_final
2019-09-18 09:58:04	ga_ls7e_ard_3-1-0_099075_2019-09-18_final
2019-09-26 10:48:21	ga_ls7e_ard_3-1-0_107078_2019-09-26_final
2019-10-12 10:47:42	ga_ls7e_ard_3-1-0_107078_2019-10-12_final
2019-10-17 09:27:09	ga_ls7e_ard_3-1-0_094078_2019-10-16_final
2019-11-02 09:26:51	ga_ls7e_ard_3-1-0_094079_2019-11-01_final
2019-11-06 09:02:45	ga_ls7e_ard_3-1-0_090081_2019-11-05_final
2019-11-11 09:21:03	ga_ls7e_ard_3-1-0_093081_2019-11-10_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-12-29 09:17:30	ga_ls7e_ard_3-1-0_093078_2019-12-28_final
2020-01-14 09:16:41	ga_ls7e_ard_3-1-0_093078_2020-01-13_final
2020-01-20 10:18:35	ga_ls7e_ard_3-1-0_103079_2020-01-20_final
2020-01-21 09:22:31	ga_ls7e_ard_3-1-0_094078_2020-01-20_final
2020-03-07 11:10:58	ga_ls7e_ard_3-1-0_112077_2020-03-07_final
2020-03-15 10:21:53	ga_ls7e_ard_3-1-0_104079_2020-03-15_final
2020-03-23 11:10:29	ga_ls7e_ard_3-1-0_112078_2020-03-23_final
2020-03-28 09:48:16	ga_ls7e_ard_3-1-0_099074_2020-03-28_final
2020-03-31 10:18:12	ga_ls7e_ard_3-1-0_104072_2020-03-31_final
2020-04-08 11:09:35	ga_ls7e_ard_3-1-0_112078_2020-04-08_final
2020-04-09 10:11:07	ga_ls7e_ard_3-1-0_103071_2020-04-09_final
2020-04-13 09:47:45	ga_ls7e_ard_3-1-0_099075_2020-04-13_final
2020-04-14 08:54:28	ga_ls7e_ard_3-1-0_090081_2020-04-13_final
2020-04-16 10:18:29	ga_ls7e_ard_3-1-0_104075_2020-04-16_final
2020-04-16 10:20:05	ga_ls7e_ard_3-1-0_104079_2020-04-16_final
2020-04-19 09:11:31	ga_ls7e_ard_3-1-0_093078_2020-04-18_final
2020-04-21 10:35:32	ga_ls7e_ard_3-1-0_107072_2020-04-21_final
2020-04-25 10:10:11	ga_ls7e_ard_3-1-0_103071_2020-04-25_final
2020-04-25 10:12:58	ga_ls7e_ard_3-1-0_103078_2020-04-25_final
2020-04-26 09:16:06	ga_ls7e_ard_3-1-0_094075_2020-04-25_final
2020-04-26 09:16:30	ga_ls7e_ard_3-1-0_094076_2020-04-25_final
2020-04-26 09:16:53	ga_ls7e_ard_3-1-0_094077_2020-04-25_final
2022-03-13 08:37:23	ga_ls7e_ard_3-2-1_096083_2022-03-12_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-19 09:37:46	ga_ls7e_ard_3-2-1_106081_2022-03-19_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_final
2022-03-21 09:25:13	ga_ls7e_ard_3-2-1_104081_2022-03-20_final
2022-03-22 08:27:31	ga_ls7e_ard_3-2-1_095076_2022-03-21_final
2022-03-23 09:13:05	ga_ls7e_ard_3-2-1_102082_2022-03-22_final
2022-03-24 09:55:03	ga_ls7e_ard_3-2-1_109079_2022-03-24_final
2022-03-28 09:27:09	ga_ls7e_ard_3-2-1_105072_2022-03-27_final
2022-03-28 09:29:57	ga_ls7e_ard_3-2-1_105079_2022-03-27_final
2022-03-29 08:33:50	ga_ls7e_ard_3-2-1_096078_2022-03-28_final
2022-03-30 09:17:24	ga_ls7e_ard_3-2-1_103079_2022-03-29_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