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
1999-10-14 09:14:05	ga_ls7e_ard_3-0-0_090086_1999-10-13_final
2000-01-24 10:12:30	ga_ls7e_ard_3-0-0_100078_2000-01-24_final
2000-03-13 10:52:44	ga_ls7e_ard_3-0-0_107071_2000-03-13_final
2000-03-18 11:11:42	ga_ls7e_ard_3-1-0_110072_2000-03-18_final
2000-06-04 09:50:03	ga_ls7e_ard_3-1-0_096086_2000-06-04_final
2000-12-19 09:09:31	ga_ls7e_ard_3-0-0_090081_2000-12-18_final
2001-05-28 10:45:23	ga_ls7e_ard_3-1-0_106075_2001-05-28_final
2002-08-09 10:07:28	ga_ls7e_ard_3-0-0_100077_2002-08-09_final
2003-08-28 10:08:04	ga_ls7e_ard_3-0-0_100078_2003-08-28_final
2003-11-26 09:07:46	ga_ls7e_ard_3-1-0_090081_2003-11-25_final
2003-12-18 10:08:06	ga_ls7e_ard_3-0-0_100077_2003-12-18_final
2004-02-13 11:41:07	ga_ls7e_ard_3-1-0_115077_2004-02-13_final
2004-03-01 10:44:44	ga_ls7e_ard_3-1-0_106075_2004-03-01_final
2004-04-08 10:06:32	ga_ls7e_ard_3-0-0_100072_2004-04-08_final
2004-10-02 10:50:20	ga_ls7e_ard_3-0-0_107075_2004-10-02_final
2004-12-04 10:08:02	ga_ls7e_ard_3-0-0_100076_2004-12-04_final
2004-12-20 10:06:33	ga_ls7e_ard_3-0-0_100072_2004-12-20_final
2005-05-07 09:10:42	ga_ls7e_ard_3-0-0_090086_2005-05-06_final
2005-08-11 09:08:27	ga_ls7e_ard_3-0-0_090081_2005-08-10_final
2006-01-02 10:45:20	ga_ls7e_ard_3-1-0_106075_2006-01-02_final
2006-03-29 10:12:10	ga_ls7e_ard_3-0-0_100084_2006-03-29_final
2006-09-15 09:11:26	ga_ls7e_ard_3-1-0_090088_2006-09-14_final
2007-05-19 10:07:15	ga_ls7e_ard_3-0-0_100071_2007-05-19_final
2007-07-07 10:51:59	ga_ls7e_ard_3-0-0_107075_2007-07-07_final
2007-11-27 10:07:07	ga_ls7e_ard_3-0-0_100071_2007-11-27_final
2008-01-30 10:10:02	ga_ls7e_ard_3-0-0_100078_2008-01-30_final
2008-03-02 10:11:29	ga_ls7e_ard_3-0-0_100082_2008-03-02_final
2008-11-13 10:06:02	ga_ls7e_ard_3-0-0_100071_2008-11-13_final
2009-09-03 09:31:12	ga_ls7e_ard_3-0-0_094074_2009-09-03_final
2009-10-09 09:11:07	ga_ls7e_ard_3-0-0_090086_2009-10-08_final
2009-10-31 10:07:18	ga_ls7e_ard_3-0-0_100071_2009-10-31_final
2010-06-12 10:11:26	ga_ls7e_ard_3-0-0_100077_2010-06-12_final
2010-06-28 10:09:05	ga_ls7e_ard_3-0-0_100071_2010-06-28_final
2012-02-07 09:40:54	ga_ls7e_ard_3-1-0_095073_2012-02-07_final
2012-02-10 10:11:01	ga_ls7e_ard_3-0-0_100071_2012-02-10_final
2012-07-03 10:14:18	ga_ls7e_ard_3-0-0_100078_2012-07-03_final
2012-08-21 10:54:58	ga_ls7e_ard_3-0-0_107070_2012-08-21_final
2013-08-29 11:14:32	ga_ls7e_ard_3-1-0_110072_2013-08-29_final
2013-09-09 10:55:21	ga_ls7e_ard_3-0-0_107070_2013-09-09_final
2013-09-26 11:37:34	ga_ls7e_ard_3-0-0_114067_2013-09-26_final
2013-12-23 10:51:57	ga_ls7e_ard_3-1-0_106075_2013-12-23_final
2014-08-26 10:16:54	ga_ls7e_ard_3-0-0_100077_2014-08-26_final
2014-12-15 09:38:30	ga_ls7e_ard_3-0-0_093087_2014-12-15_final
2016-04-09 10:23:30	ga_ls7e_ard_3-0-0_100082_2016-04-09_final
2017-07-01 10:22:21	ga_ls7e_ard_3-0-0_100078_2017-07-01_final
2017-10-20 09:37:29	ga_ls7e_ard_3-0-0_093074_2017-10-20_final
2017-10-21 10:21:56	ga_ls7e_ard_3-0-0_100077_2017-10-21_final
2017-12-14 11:21:29	ga_ls7e_ard_3-1-0_110072_2017-12-14_final
2018-03-14 10:20:31	ga_ls7e_ard_3-0-0_100077_2018-03-14_final
2019-01-06 10:50:39	ga_ls7e_ard_3-1-0_106075_2019-01-06_final
2019-02-05 11:02:04	ga_ls7e_ard_3-1-0_108075_2019-02-05_final
2019-02-26 11:18:23	ga_ls7e_ard_3-1-0_111071_2019-02-26_final
2019-03-10 10:06:14	ga_ls7e_ard_3-1-0_099077_2019-03-10_final
2019-03-26 10:02:31	ga_ls7e_ard_3-1-0_099069_2019-03-26_final
2019-04-08 09:37:57	ga_ls7e_ard_3-0-0_094086_2019-04-08_final
2019-09-28 08:59:50	ga_ls7e_ard_3-1-0_089085_2019-09-27_final
2019-11-16 11:12:40	ga_ls7e_ard_3-1-0_112067_2019-11-16_final
2019-11-18 11:01:24	ga_ls7e_ard_3-1-0_110070_2019-11-18_final
2019-12-11 09:26:23	ga_ls7e_ard_3-1-0_095067_2019-12-10_final
2019-12-11 11:08:04	ga_ls7e_ard_3-1-0_111074_2019-12-11_final
2019-12-23 09:57:17	ga_ls7e_ard_3-1-0_099084_2019-12-23_final
2019-12-27 11:07:15	ga_ls7e_ard_3-1-0_111074_2019-12-27_final
2020-01-16 09:08:37	ga_ls7e_ard_3-1-0_091089_2020-01-15_final
2020-01-17 09:49:50	ga_ls7e_ard_3-1-0_098084_2020-01-17_final
2020-01-18 10:29:51	ga_ls7e_ard_3-1-0_105076_2020-01-18_final
2020-01-23 09:13:15	ga_ls7e_ard_3-1-0_092086_2020-01-22_final
2020-01-24 09:50:04	ga_ls7e_ard_3-1-0_099070_2020-01-24_final
2020-02-10 08:56:23	ga_ls7e_ard_3-1-0_090077_2020-02-09_final
2020-02-16 09:55:29	ga_ls7e_ard_3-1-0_100071_2020-02-16_final
2020-03-09 09:18:25	ga_ls7e_ard_3-1-0_094074_2020-03-08_final
2020-03-27 10:43:57	ga_ls7e_ard_3-1-0_108074_2020-03-27_final
2020-03-28 09:49:52	ga_ls7e_ard_3-1-0_099078_2020-03-28_final
2020-05-07 10:36:10	ga_ls7e_ard_3-1-0_107076_2020-05-07_final
2020-05-12 09:19:55	ga_ls7e_ard_3-1-0_094087_2020-05-11_final
2020-05-16 08:56:09	ga_ls7e_ard_3-1-0_090090_2020-05-15_final
2020-06-23 09:53:18	ga_ls7e_ard_3-1-0_100084_2020-06-23_final
2020-07-19 10:22:25	ga_ls7e_ard_3-1-0_106068_2020-07-19_final
2020-08-04 10:21:26	ga_ls7e_ard_3-1-0_106068_2020-08-04_final
2021-03-09 08:28:03	ga_ls7e_ard_3-2-0_089085_2021-03-08_final
2021-03-09 10:00:33	ga_ls7e_ard_3-2-0_105069_2021-03-09_final
2021-03-09 10:02:33	ga_ls7e_ard_3-2-0_105074_2021-03-09_final
2021-05-15 10:28:18	ga_ls7e_ard_3-2-0_110075_2021-05-15_final
2021-05-28 08:21:48	ga_ls7e_ard_3-2-0_089086_2021-05-27_final
2021-05-31 10:24:56	ga_ls7e_ard_3-2-0_110070_2021-05-31_final
2021-06-10 09:22:43	ga_ls7e_ard_3-2-0_100071_2021-06-09_final
2021-06-16 10:23:38	ga_ls7e_ard_3-2-0_110070_2021-06-16_final
2021-06-20 08:22:30	ga_ls7e_ard_3-2-0_090077_2021-06-19_final
2021-07-11 10:16:58	ga_ls7e_ard_3-2-0_109074_2021-07-11_final
2021-07-25 08:48:50	ga_ls7e_ard_3-2-0_095073_2021-07-24_final
2021-07-30 09:04:33	ga_ls7e_ard_3-2-0_098067_2021-07-29_final
2021-08-28 10:13:10	ga_ls7e_ard_3-2-0_109075_2021-08-28_final
2021-09-04 10:17:57	ga_ls7e_ard_3-2-0_110073_2021-09-04_final
2021-10-19 09:46:39	ga_ls7e_ard_3-2-0_105082_2021-10-19_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-11-04 09:42:23	ga_ls7e_ard_3-2-0_105075_2021-11-04_final
2021-11-20 08:02:45	ga_ls7e_ard_3-2-1_089077_2021-11-19_final
2021-12-01 09:23:38	ga_ls7e_ard_3-2-1_102081_2021-11-30_final
2021-12-28 10:38:59	ga_ls7e_ard_3-2-1_115075_2021-12-28_final
2022-02-08 09:33:28	ga_ls7e_ard_3-2-1_105076_2022-02-08_final
2022-03-08 09:53:26	ga_ls7e_ard_3-2-1_109071_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