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
1999-12-10 09:05:50	ga_ls7e_ard_3-1-0_089081_1999-12-09_final
2001-04-15 09:22:10	ga_ls7e_ard_3-1-0_093067_2001-04-14_final
2001-12-18 09:29:16	ga_ls7e_ard_3-0-0_094073_2001-12-17_final
2002-10-22 10:45:46	ga_ls7e_ard_3-1-0_106081_2002-10-22_final
2003-05-21 09:35:28	ga_ls7e_ard_3-1-0_095073_2003-05-21_final
2003-10-19 09:46:25	ga_ls7e_ard_3-1-0_096086_2003-10-19_final
2004-01-25 09:32:03	ga_ls7e_ard_3-0-0_094079_2004-01-25_final
2004-03-29 09:29:54	ga_ls7e_ard_3-1-0_094073_2004-03-28_final
2004-07-07 09:09:41	ga_ls7e_ard_3-1-0_090085_2004-07-06_final
2004-07-23 10:44:30	ga_ls7e_ard_3-1-0_106075_2004-07-23_final
2004-09-05 09:30:08	ga_ls7e_ard_3-1-0_094075_2004-09-05_final
2006-05-06 11:09:10	ga_ls7e_ard_3-1-0_110072_2006-05-06_final
2006-05-24 09:23:55	ga_ls7e_ard_3-1-0_092087_2006-05-23_final
2006-11-01 10:04:28	ga_ls7e_ard_3-1-0_099081_2006-11-01_final
2007-03-22 09:33:57	ga_ls7e_ard_3-0-0_094080_2007-03-22_final
2007-05-16 09:39:34	ga_ls7e_ard_3-1-0_095079_2007-05-16_final
2007-09-21 09:36:35	ga_ls7e_ard_3-1-0_095073_2007-09-21_final
2007-12-03 09:30:52	ga_ls7e_ard_3-0-0_094073_2007-12-03_final
2008-01-20 09:34:10	ga_ls7e_ard_3-0-0_094081_2008-01-20_final
2008-07-05 09:36:19	ga_ls7e_ard_3-1-0_095073_2008-07-05_final
2009-04-05 11:06:49	ga_ls7e_ard_3-1-0_109081_2009-04-05_final
2009-11-04 11:26:43	ga_ls7e_ard_3-1-0_112084_2009-11-04_final
2010-03-14 09:38:20	ga_ls7e_ard_3-0-0_094087_2010-03-14_final
2010-04-29 09:50:22	ga_ls7e_ard_3-1-0_096086_2010-04-29_final
2010-05-02 10:16:52	ga_ls7e_ard_3-1-0_101075_2010-05-02_final
2010-12-27 09:36:08	ga_ls7e_ard_3-0-0_094079_2010-12-27_final
2011-05-29 09:30:02	ga_ls7e_ard_3-1-0_093078_2011-05-29_final
2011-06-05 09:34:38	ga_ls7e_ard_3-0-0_094074_2011-06-05_final
2011-09-16 09:40:05	ga_ls7e_ard_3-1-0_095073_2011-09-16_final
2013-06-10 09:36:42	ga_ls7e_ard_3-0-0_094074_2013-06-10_final
2014-01-04 09:41:51	ga_ls7e_ard_3-0-0_094085_2014-01-04_final
2014-01-08 09:17:08	ga_ls7e_ard_3-1-0_090085_2014-01-07_final
2014-09-07 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-09-07_final
2014-10-05 11:04:15	ga_ls7e_ard_3-1-0_108071_2014-10-05_final
2014-11-06 11:08:58	ga_ls7e_ard_3-1-0_108082_2014-11-06_final
2015-03-09 10:51:29	ga_ls7e_ard_3-1-0_105083_2015-03-09_final
2015-08-23 09:21:44	ga_ls7e_ard_3-1-0_090088_2015-08-22_final
2015-09-20 09:46:10	ga_ls7e_ard_3-0-0_094087_2015-09-20_final
2015-11-21 11:37:03	ga_ls7e_ard_3-1-0_112084_2015-11-21_final
2017-01-16 10:57:43	ga_ls7e_ard_3-1-0_106075_2017-01-16_final
2017-05-20 09:47:55	ga_ls7e_ard_3-0-0_094085_2017-05-20_final
2017-08-01 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-08-01_final
2017-09-11 11:08:57	ga_ls7e_ard_3-1-0_108071_2017-09-11_final
2017-10-23 10:10:47	ga_ls7e_ard_3-1-0_098080_2017-10-23_final
2017-12-27 09:15:09	ga_ls7e_ard_3-1-0_089081_2017-12-26_final
2018-03-12 10:31:18	ga_ls7e_ard_3-1-0_102073_2018-03-12_final
2019-02-22 11:46:25	ga_ls7e_ard_3-1-0_115079_2019-02-22_final
2019-03-04 09:05:26	ga_ls7e_ard_3-1-0_089079_2019-03-03_final
2019-03-05 09:47:03	ga_ls7e_ard_3-1-0_096075_2019-03-05_final
2019-03-23 11:12:59	ga_ls7e_ard_3-1-0_110075_2019-03-23_final
2019-09-04 11:26:24	ga_ls7e_ard_3-1-0_113078_2019-09-04_final
2019-09-15 11:05:47	ga_ls7e_ard_3-1-0_110074_2019-09-15_final
2019-10-05 10:43:48	ga_ls7e_ard_3-1-0_106083_2019-10-05_final
2019-10-29 09:48:57	ga_ls7e_ard_3-1-0_098072_2019-10-29_final
2019-11-22 10:37:41	ga_ls7e_ard_3-1-0_106073_2019-11-22_final
2019-12-06 09:14:53	ga_ls7e_ard_3-1-0_092084_2019-12-05_final
2019-12-20 11:01:49	ga_ls7e_ard_3-1-0_110075_2019-12-20_final
2020-01-12 09:28:20	ga_ls7e_ard_3-1-0_095076_2020-01-11_final
2020-02-04 09:34:34	ga_ls7e_ard_3-1-0_096079_2020-02-04_final
2020-02-25 09:50:49	ga_ls7e_ard_3-1-0_099076_2020-02-25_final
2020-03-11 10:45:14	ga_ls7e_ard_3-1-0_108075_2020-03-11_final
2020-03-20 09:00:05	ga_ls7e_ard_3-1-0_091076_2020-03-19_final
2020-03-25 09:22:20	ga_ls7e_ard_3-1-0_094086_2020-03-24_final
2020-04-15 11:16:33	ga_ls7e_ard_3-1-0_113081_2020-04-15_final
2020-04-19 09:14:43	ga_ls7e_ard_3-1-0_093086_2020-04-18_final
2020-06-15 09:01:08	ga_ls7e_ard_3-1-0_092076_2020-06-14_final
2020-06-27 11:06:25	ga_ls7e_ard_3-1-0_112082_2020-06-27_final
2020-07-11 11:17:32	ga_ls7e_ard_3-1-0_114081_2020-07-11_final
2020-07-19 10:24:49	ga_ls7e_ard_3-1-0_106074_2020-07-19_final
2020-08-04 10:25:01	ga_ls7e_ard_3-1-0_106077_2020-08-04_final
2021-01-30 09:05:13	ga_ls7e_ard_3-2-0_095078_2021-01-29_final
2021-03-04 09:42:00	ga_ls7e_ard_3-2-0_102068_2021-03-04_final
2021-03-15 11:04:40	ga_ls7e_ard_3-2-0_115076_2021-03-15_final
2021-03-19 09:04:20	ga_ls7e_ard_3-2-0_095085_2021-03-18_final
2021-04-05 09:44:13	ga_ls7e_ard_3-2-0_102080_2021-04-05_final
2021-04-29 08:55:33	ga_ls7e_ard_3-2-0_094087_2021-04-28_final
2021-06-08 09:38:50	ga_ls7e_ard_3-2-0_102080_2021-06-08_final
2021-07-02 10:24:18	ga_ls7e_ard_3-2-0_110075_2021-07-02_final
2021-07-07 09:05:08	ga_ls7e_ard_3-2-0_097079_2021-07-06_final
2021-07-18 10:20:57	ga_ls7e_ard_3-2-0_110070_2021-07-18_final
2021-08-23 09:54:16	ga_ls7e_ard_3-2-0_106073_2021-08-23_final
2021-08-29 09:15:52	ga_ls7e_ard_3-2-0_100071_2021-08-28_final
2021-09-04 10:17:33	ga_ls7e_ard_3-2-0_110072_2021-09-04_final
2021-09-23 09:12:16	ga_ls7e_ard_3-2-0_099083_2021-09-22_final
2021-10-11 08:59:07	ga_ls7e_ard_3-2-0_097085_2021-10-10_final
2021-10-29 08:40:44	ga_ls7e_ard_3-2-0_095074_2021-10-28_final
2021-11-07 10:12:12	ga_ls7e_ard_3-2-0_110073_2021-11-07_final
2021-11-13 09:34:32	ga_ls7e_ard_3-2-1_104073_2021-11-13_final
2021-11-16 10:09:32	ga_ls7e_ard_3-2-1_109084_2021-11-16_final
2021-11-28 10:32:18	ga_ls7e_ard_3-2-1_113082_2021-11-28_final
2021-12-20 08:15:03	ga_ls7e_ard_3-2-1_091084_2021-12-19_final
2021-12-22 09:38:11	ga_ls7e_ard_3-2-1_105076_2021-12-22_final
2021-12-25 08:29:30	ga_ls7e_ard_3-2-1_094075_2021-12-24_final
2022-01-03 10:04:29	ga_ls7e_ard_3-2-1_109083_2022-01-03_final
2022-01-13 09:02:08	ga_ls7e_ard_3-2-1_099084_2022-01-12_final
2022-01-31 10:26:06	ga_ls7e_ard_3-2-1_113082_2022-01-31_final
2022-02-07 08:52:42	ga_ls7e_ard_3-2-1_098082_2022-02-06_final
2022-02-16 10:24:51	ga_ls7e_ard_3-2-1_113083_2022-02-16_final
2022-02-27 10:02:05	ga_ls7e_ard_3-2-1_110075_2022-02-27_final
2022-03-01 09:52:43	ga_ls7e_ard_3-2-1_108083_2022-03-01_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