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
2000-01-28 11:29:04	ga_ls7e_ard_3-1-0_112084_2000-01-28_final
2000-12-08 09:30:22	ga_ls7e_ard_3-1-0_093087_2000-12-08_final
2001-01-13 09:03:23	ga_ls7e_ard_3-1-0_089081_2001-01-12_final
2002-12-01 11:35:16	ga_ls7e_ard_3-0-0_114080_2002-12-01_final
2002-12-09 09:08:56	ga_ls7e_ard_3-1-0_090085_2002-12-08_final
2004-09-23 09:20:52	ga_ls7e_ard_3-1-0_092083_2004-09-22_final
2006-08-26 09:30:16	ga_ls7e_ard_3-0-0_094073_2006-08-26_final
2006-12-13 09:03:04	ga_ls7e_ard_3-1-0_089081_2006-12-12_final
2007-02-18 09:32:40	ga_ls7e_ard_3-0-0_094077_2007-02-18_final
2007-03-22 09:35:57	ga_ls7e_ard_3-0-0_094085_2007-03-22_final
2007-04-01 10:12:38	ga_ls7e_ard_3-0-0_100084_2007-04-01_final
2008-06-24 11:36:16	ga_ls7e_ard_3-0-0_114079_2008-06-24_final
2008-07-14 09:35:37	ga_ls7e_ard_3-1-0_094087_2008-07-14_final
2008-07-14 11:08:31	ga_ls7e_ard_3-1-0_110072_2008-07-14_final
2008-08-11 11:34:13	ga_ls7e_ard_3-0-0_114075_2008-08-11_final
2008-11-15 11:36:10	ga_ls7e_ard_3-0-0_114080_2008-11-15_final
2008-11-19 11:08:19	ga_ls7e_ard_3-1-0_110072_2008-11-19_final
2009-01-16 10:11:48	ga_ls7e_ard_3-0-0_100084_2009-01-16_final
2009-02-20 09:02:52	ga_ls7e_ard_3-1-0_089081_2009-02-19_final
2009-04-21 09:26:48	ga_ls7e_ard_3-0-0_093078_2009-04-20_final
2009-10-24 11:42:17	ga_ls7e_ard_3-1-0_115077_2009-10-24_final
2009-10-25 10:45:05	ga_ls7e_ard_3-1-0_106073_2009-10-25_final
2010-03-07 09:29:19	ga_ls7e_ard_3-0-0_093080_2010-03-06_final
2010-10-18 10:14:06	ga_ls7e_ard_3-0-0_100083_2010-10-18_final
2010-12-21 10:14:45	ga_ls7e_ard_3-0-0_100083_2010-12-21_final
2012-01-08 09:34:03	ga_ls7e_ard_3-0-0_093087_2012-01-08_final
2012-02-16 09:39:33	ga_ls7e_ard_3-0-0_094085_2012-02-16_final
2012-07-02 09:33:01	ga_ls7e_ard_3-0-0_093083_2012-07-02_final
2012-11-14 09:41:21	ga_ls7e_ard_3-0-0_094085_2012-11-14_final
2012-11-23 09:35:13	ga_ls7e_ard_3-0-0_093085_2012-11-23_final
2013-04-14 11:25:17	ga_ls7e_ard_3-1-0_111082_2013-04-14_final
2013-08-13 09:41:27	ga_ls7e_ard_3-0-0_094087_2013-08-13_final
2013-11-01 09:34:18	ga_ls7e_ard_3-1-0_094067_2013-11-01_final
2014-06-29 09:38:30	ga_ls7e_ard_3-0-0_094074_2014-06-29_final
2014-12-22 11:17:39	ga_ls7e_ard_3-1-0_110072_2014-12-22_final
2015-02-24 09:39:26	ga_ls7e_ard_3-0-0_094073_2015-02-24_final
2015-03-09 09:11:48	ga_ls7e_ard_3-1-0_089081_2015-03-08_final
2016-07-01 09:15:29	ga_ls7e_ard_3-1-0_089081_2016-06-30_final
2016-12-03 10:32:34	ga_ls7e_ard_3-1-0_102073_2016-12-03_final
2017-06-21 11:21:44	ga_ls7e_ard_3-1-0_110072_2017-06-21_final
2017-12-14 09:47:23	ga_ls7e_ard_3-0-0_094084_2017-12-14_final
2018-03-08 10:56:52	ga_ls7e_ard_3-1-0_106075_2018-03-08_final
2018-07-02 10:29:27	ga_ls7e_ard_3-1-0_102073_2018-07-02_final
2019-01-18 09:36:07	ga_ls7e_ard_3-0-0_094075_2019-01-18_final
2019-02-24 09:57:31	ga_ls7e_ard_3-1-0_097085_2019-02-24_final
2019-03-08 10:16:16	ga_ls7e_ard_3-1-0_101071_2019-03-08_final
2019-03-09 09:27:24	ga_ls7e_ard_3-1-0_092088_2019-03-08_final
2019-05-06 11:35:43	ga_ls7e_ard_3-0-0_114074_2019-05-06_final
2019-06-12 10:13:13	ga_ls7e_ard_3-1-0_101072_2019-06-12_final
2019-06-20 09:29:52	ga_ls7e_ard_3-1-0_093088_2019-06-19_final
2019-06-23 11:34:45	ga_ls7e_ard_3-0-0_114076_2019-06-23_final
2019-09-30 10:24:40	ga_ls7e_ard_3-1-0_103081_2019-09-30_final
2019-10-04 09:54:36	ga_ls7e_ard_3-1-0_099068_2019-10-04_final
2019-10-18 10:11:34	ga_ls7e_ard_3-1-0_101081_2019-10-18_final
2019-11-26 10:12:23	ga_ls7e_ard_3-1-0_102072_2019-11-26_final
2019-12-08 10:37:19	ga_ls7e_ard_3-1-0_106074_2019-12-08_final
2019-12-18 09:34:36	ga_ls7e_ard_3-1-0_096073_2019-12-18_final
2019-12-20 10:58:38	ga_ls7e_ard_3-1-0_110067_2019-12-20_final
2019-12-24 08:58:49	ga_ls7e_ard_3-1-0_090077_2019-12-23_final
2019-12-25 11:22:30	ga_ls7e_ard_3-1-0_113081_2019-12-25_final
2020-01-05 09:18:55	ga_ls7e_ard_3-1-0_094067_2020-01-04_final
2020-01-25 09:01:35	ga_ls7e_ard_3-1-0_090088_2020-01-24_final
2020-01-29 10:08:46	ga_ls7e_ard_3-1-0_102071_2020-01-29_final
2020-02-15 10:55:56	ga_ls7e_ard_3-1-0_109083_2020-02-15_final
2020-02-25 09:50:25	ga_ls7e_ard_3-1-0_099075_2020-02-25_final
2020-03-02 09:12:37	ga_ls7e_ard_3-1-0_093074_2020-03-01_final
2020-03-06 10:24:58	ga_ls7e_ard_3-1-0_105070_2020-03-06_final
2020-03-18 09:16:08	ga_ls7e_ard_3-1-0_093085_2020-03-17_final
2020-03-20 09:03:40	ga_ls7e_ard_3-1-0_091085_2020-03-19_final
2020-03-25 09:17:33	ga_ls7e_ard_3-1-0_094074_2020-03-24_final
2020-04-29 11:26:06	ga_ls7e_ard_3-1-0_115076_2020-04-29_final
2020-05-12 10:52:48	ga_ls7e_ard_3-1-0_110072_2020-05-12_final
2020-06-13 10:51:42	ga_ls7e_ard_3-1-0_110074_2020-06-13_final
2020-06-16 09:42:45	ga_ls7e_ard_3-1-0_099072_2020-06-16_final
2020-07-06 10:55:43	ga_ls7e_ard_3-1-0_111072_2020-07-06_final
2020-07-13 11:05:27	ga_ls7e_ard_3-1-0_112082_2020-07-13_final
2021-02-24 10:34:27	ga_ls7e_ard_3-2-0_110074_2021-02-24_final
2021-02-25 09:39:57	ga_ls7e_ard_3-2-0_101077_2021-02-25_final
2021-03-04 09:47:35	ga_ls7e_ard_3-2-0_102082_2021-03-04_final
2021-03-25 08:24:47	ga_ls7e_ard_3-2-0_089080_2021-03-24_final
2021-03-28 10:32:19	ga_ls7e_ard_3-2-0_110075_2021-03-28_final
2021-04-14 09:36:06	ga_ls7e_ard_3-2-0_101077_2021-04-14_final
2021-04-23 09:26:45	ga_ls7e_ard_3-2-0_100071_2021-04-22_final
2021-04-26 08:22:55	ga_ls7e_ard_3-2-0_089082_2021-04-25_final
2021-05-29 09:04:59	ga_ls7e_ard_3-2-0_096086_2021-05-28_final
2021-07-06 09:56:51	ga_ls7e_ard_3-2-0_106069_2021-07-06_final
2021-07-21 09:17:06	ga_ls7e_ard_3-2-0_099081_2021-07-20_final
2021-10-03 08:09:59	ga_ls7e_ard_3-2-0_089084_2021-10-02_final
2021-10-17 08:18:19	ga_ls7e_ard_3-2-0_091077_2021-10-16_final
2021-10-19 09:43:51	ga_ls7e_ard_3-2-0_105075_2021-10-19_final
2021-11-26 10:41:39	ga_ls7e_ard_3-2-1_115074_2021-11-26_final
2021-11-28 08:52:13	ga_ls7e_ard_3-2-1_097079_2021-11-27_final
2021-12-22 08:00:30	ga_ls7e_ard_3-2-1_089079_2021-12-21_final
2022-01-06 08:51:25	ga_ls7e_ard_3-2-1_098071_2022-01-05_final
2022-01-21 09:46:01	ga_ls7e_ard_3-2-1_107072_2022-01-21_final
2022-01-22 08:51:30	ga_ls7e_ard_3-2-1_098075_2022-01-21_final
2022-01-22 10:30:23	ga_ls7e_ard_3-2-1_114075_2022-01-22_final
2022-02-16 10:21:16	ga_ls7e_ard_3-2-1_113074_2022-02-16_final
2022-02-22 08:09:08	ga_ls7e_ard_3-2-1_091085_2022-02-21_final
2022-03-08 08:17:21	ga_ls7e_ard_3-2-1_093078_2022-03-07_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