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
1999-10-29 11:44:53	ga_ls7e_ard_3-1-0_115077_1999-10-29_final
2000-06-06 09:38:03	ga_ls7e_ard_3-0-0_094087_2000-06-06_final
2002-04-09 09:29:26	ga_ls7e_ard_3-0-0_094073_2002-04-08_final
2002-09-13 10:40:29	ga_ls7e_ard_3-1-0_105083_2002-09-13_final
2003-07-31 09:46:37	ga_ls7e_ard_3-1-0_096086_2003-07-31_final
2003-10-25 09:10:39	ga_ls7e_ard_3-1-0_090089_2003-10-24_final
2003-11-09 11:40:29	ga_ls7e_ard_3-1-0_115077_2003-11-09_final
2005-03-13 10:42:18	ga_ls7e_ard_3-1-0_105083_2005-03-13_final
2005-06-04 09:35:45	ga_ls7e_ard_3-0-0_094087_2005-06-04_final
2006-01-18 10:45:29	ga_ls7e_ard_3-1-0_106075_2006-01-18_final
2006-04-18 09:48:10	ga_ls7e_ard_3-1-0_096086_2006-04-18_final
2006-05-13 09:36:52	ga_ls7e_ard_3-1-0_095073_2006-05-13_final
2006-06-23 09:34:58	ga_ls7e_ard_3-0-0_094084_2006-06-23_final
2006-08-26 09:35:51	ga_ls7e_ard_3-0-0_094087_2006-08-26_final
2006-10-25 09:57:46	ga_ls7e_ard_3-1-0_098080_2006-10-25_final
2007-02-15 10:43:01	ga_ls7e_ard_3-1-0_105083_2007-02-15_final
2007-03-13 09:37:19	ga_ls7e_ard_3-1-0_095073_2007-03-13_final
2007-08-24 09:17:15	ga_ls7e_ard_3-1-0_091086_2007-08-23_final
2007-09-07 09:29:54	ga_ls7e_ard_3-1-0_093087_2007-09-06_final
2007-12-19 11:09:26	ga_ls7e_ard_3-1-0_110072_2007-12-19_final
2008-01-27 09:37:08	ga_ls7e_ard_3-1-0_095073_2008-01-27_final
2008-03-19 09:17:25	ga_ls7e_ard_3-1-0_091086_2008-03-18_final
2008-12-09 10:45:01	ga_ls7e_ard_3-1-0_106075_2008-12-09_final
2009-03-22 09:17:28	ga_ls7e_ard_3-1-0_091086_2009-03-21_final
2009-05-18 10:46:01	ga_ls7e_ard_3-1-0_106075_2009-05-18_final
2009-10-21 09:36:27	ga_ls7e_ard_3-0-0_094087_2009-10-21_final
2010-05-28 09:17:24	ga_ls7e_ard_3-1-0_091081_2010-05-27_final
2011-06-19 09:51:44	ga_ls7e_ard_3-1-0_096086_2011-06-19_final
2012-07-09 09:32:56	ga_ls7e_ard_3-1-0_094067_2012-07-09_final
2012-08-14 10:50:42	ga_ls7e_ard_3-1-0_106075_2012-08-14_final
2013-05-25 09:42:02	ga_ls7e_ard_3-0-0_094087_2013-05-25_final
2013-12-16 09:12:26	ga_ls7e_ard_3-1-0_089089_2013-12-15_final
2015-05-18 11:51:27	ga_ls7e_ard_3-1-0_115077_2015-05-18_final
2015-10-22 09:38:33	ga_ls7e_ard_3-1-0_094067_2015-10-22_final
2015-11-11 10:56:13	ga_ls7e_ard_3-1-0_106075_2015-11-11_final
2016-08-24 10:18:58	ga_ls7e_ard_3-1-0_099085_2016-08-24_final
2017-09-18 09:42:36	ga_ls7e_ard_3-1-0_093087_2017-09-18_final
2017-10-29 11:08:59	ga_ls7e_ard_3-1-0_108071_2017-10-29_final
2018-04-21 09:38:52	ga_ls7e_ard_3-1-0_094067_2018-04-21_final
2018-07-26 11:19:15	ga_ls7e_ard_3-1-0_110075_2018-07-26_final
2018-11-13 11:28:49	ga_ls7e_ard_3-1-0_112074_2018-11-13_final
2019-01-02 11:14:18	ga_ls7e_ard_3-1-0_110072_2019-01-02_final
2019-03-10 11:43:55	ga_ls7e_ard_3-1-0_115074_2019-03-10_final
2019-04-03 09:19:35	ga_ls7e_ard_3-1-0_091086_2019-04-02_final
2019-05-10 09:37:09	ga_ls7e_ard_3-0-0_094087_2019-05-10_final
2019-10-04 09:59:23	ga_ls7e_ard_3-1-0_099080_2019-10-04_final
2019-10-06 09:46:57	ga_ls7e_ard_3-1-0_097080_2019-10-06_final
2019-10-14 10:34:03	ga_ls7e_ard_3-1-0_105075_2019-10-14_final
2019-10-31 11:16:11	ga_ls7e_ard_3-1-0_112074_2019-10-31_final
2019-11-08 10:23:59	ga_ls7e_ard_3-1-0_104068_2019-11-08_final
2019-12-07 09:52:54	ga_ls7e_ard_3-1-0_099071_2019-12-07_final
2019-12-12 10:12:00	ga_ls7e_ard_3-1-0_102073_2019-12-12_final
2019-12-20 11:01:25	ga_ls7e_ard_3-1-0_110074_2019-12-20_final
2019-12-28 10:11:10	ga_ls7e_ard_3-1-0_102073_2019-12-28_final
2019-12-30 09:58:18	ga_ls7e_ard_3-1-0_100072_2019-12-30_final
2020-01-03 11:16:39	ga_ls7e_ard_3-1-0_112083_2020-01-03_final
2020-01-16 10:39:54	ga_ls7e_ard_3-1-0_107070_2020-01-16_final
2020-01-18 10:29:27	ga_ls7e_ard_3-1-0_105075_2020-01-18_final
2020-01-21 10:58:36	ga_ls7e_ard_3-1-0_110071_2020-01-21_final
2020-01-21 10:59:00	ga_ls7e_ard_3-1-0_110072_2020-01-21_final
2020-02-02 11:21:08	ga_ls7e_ard_3-1-0_114067_2020-02-02_final
2020-03-05 09:45:21	ga_ls7e_ard_3-1-0_098079_2020-03-05_final
2020-03-09 10:57:42	ga_ls7e_ard_3-1-0_110075_2020-03-09_final
2020-03-21 09:46:29	ga_ls7e_ard_3-1-0_098084_2020-03-21_final
2020-04-02 10:04:08	ga_ls7e_ard_3-1-0_102068_2020-04-02_final
2020-05-07 09:01:41	ga_ls7e_ard_3-1-0_091087_2020-05-06_final
2020-05-17 11:14:14	ga_ls7e_ard_3-1-0_113080_2020-05-17_final
2020-06-29 10:49:09	ga_ls7e_ard_3-1-0_110070_2020-06-29_final
2020-07-01 10:38:40	ga_ls7e_ard_3-1-0_108075_2020-07-01_final
2020-07-08 09:10:44	ga_ls7e_ard_3-1-0_093088_2020-07-07_final
2020-07-10 08:57:27	ga_ls7e_ard_3-1-0_091086_2020-07-09_final
2020-07-25 09:50:58	ga_ls7e_ard_3-1-0_100083_2020-07-25_final
2020-07-26 10:34:09	ga_ls7e_ard_3-1-0_107083_2020-07-26_final
2020-07-27 09:32:05	ga_ls7e_ard_3-1-0_098067_2020-07-27_final
2020-08-07 09:20:27	ga_ls7e_ard_3-1-0_095086_2020-08-06_final
2021-04-09 10:56:03	ga_ls7e_ard_3-2-0_114075_2021-04-09_final
2021-05-24 08:42:05	ga_ls7e_ard_3-2-0_093074_2021-05-23_final
2021-06-17 09:33:07	ga_ls7e_ard_3-2-0_101083_2021-06-17_final
2021-06-24 09:33:08	ga_ls7e_ard_3-2-0_102069_2021-06-24_final
2021-06-29 08:18:46	ga_ls7e_ard_3-2-0_089085_2021-06-28_final
2021-07-04 10:10:11	ga_ls7e_ard_3-2-0_108071_2021-07-04_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_final
2021-08-30 08:27:45	ga_ls7e_ard_3-2-0_091090_2021-08-29_final
2021-10-17 09:54:24	ga_ls7e_ard_3-2-0_107070_2021-10-17_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-11-14 10:16:54	ga_ls7e_ard_3-2-1_111071_2021-11-14_final
2021-11-17 09:08:37	ga_ls7e_ard_3-2-1_100071_2021-11-16_final
2021-11-22 09:25:28	ga_ls7e_ard_3-2-1_103068_2021-11-21_final
2021-12-05 08:59:21	ga_ls7e_ard_3-2-1_098083_2021-12-04_final
2021-12-07 10:22:05	ga_ls7e_ard_3-2-1_112074_2021-12-07_final
2021-12-22 09:40:34	ga_ls7e_ard_3-2-1_105082_2021-12-22_final
2021-12-28 10:38:59	ga_ls7e_ard_3-2-1_115075_2021-12-28_final
2021-12-31 09:31:29	ga_ls7e_ard_3-2-1_104077_2021-12-31_final
2022-01-23 07:57:23	ga_ls7e_ard_3-2-1_089079_2022-01-22_final
2022-01-24 10:21:25	ga_ls7e_ard_3-2-1_112084_2022-01-24_final
2022-01-29 08:57:48	ga_ls7e_ard_3-2-1_099077_2022-01-28_final
2022-01-29 08:58:11	ga_ls7e_ard_3-2-1_099078_2022-01-28_final
2022-01-31 10:26:30	ga_ls7e_ard_3-2-1_113083_2022-01-31_final
2022-02-08 07:55:23	ga_ls7e_ard_3-2-1_089078_2022-02-07_final
2022-03-29 10:11:07	ga_ls7e_ard_3-2-1_112074_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