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
1999-08-19 10:00:58	ga_ls7e_ard_3-1-0_098080_1999-08-19_final
2000-08-30 09:51:16	ga_ls7e_ard_3-1-0_097076_2000-08-30_final
2001-03-03 09:48:30	ga_ls7e_ard_3-1-0_096086_2001-03-03_final
2001-06-06 09:02:33	ga_ls7e_ard_3-1-0_089081_2001-06-05_final
2002-02-17 09:01:47	ga_ls7e_ard_3-1-0_089081_2002-02-16_final
2002-09-19 11:39:46	ga_ls7e_ard_3-1-0_115077_2002-09-19_final
2003-09-19 09:30:02	ga_ls7e_ard_3-1-0_094076_2003-09-19_final
2005-02-16 09:10:18	ga_ls7e_ard_3-1-0_090085_2005-02-15_final
2006-07-31 10:30:55	ga_ls7e_ard_3-1-0_104070_2006-07-31_final
2007-04-12 09:50:53	ga_ls7e_ard_3-1-0_097076_2007-04-12_final
2008-01-22 11:01:05	ga_ls7e_ard_3-1-0_108082_2008-01-22_final
2008-09-27 09:14:04	ga_ls7e_ard_3-1-0_091081_2008-09-26_final
2009-01-11 09:50:02	ga_ls7e_ard_3-1-0_097076_2009-01-11_final
2009-02-07 11:10:07	ga_ls7e_ard_3-1-0_110075_2009-02-07_final
2009-05-03 09:50:46	ga_ls7e_ard_3-1-0_097076_2009-05-03_final
2009-10-27 10:31:34	ga_ls7e_ard_3-1-0_104070_2009-10-27_final
2009-12-26 11:01:55	ga_ls7e_ard_3-1-0_108082_2009-12-26_final
2010-01-11 10:59:24	ga_ls7e_ard_3-1-0_108075_2010-01-11_final
2010-07-06 11:02:56	ga_ls7e_ard_3-1-0_108082_2010-07-06_final
2010-10-17 11:08:55	ga_ls7e_ard_3-1-0_109081_2010-10-17_final
2011-03-30 10:45:00	ga_ls7e_ard_3-1-0_105080_2011-03-30_final
2011-11-28 09:38:19	ga_ls7e_ard_3-1-0_094083_2011-11-28_final
2012-01-15 09:32:15	ga_ls7e_ard_3-1-0_094067_2012-01-15_final
2012-04-13 09:34:05	ga_ls7e_ard_3-1-0_093087_2012-04-13_final
2012-12-18 09:29:57	ga_ls7e_ard_3-1-0_092087_2012-12-17_final
2013-02-04 09:28:28	ga_ls7e_ard_3-1-0_092083_2013-02-03_final
2014-02-28 11:26:00	ga_ls7e_ard_3-1-0_111082_2014-02-28_final
2014-06-14 10:20:53	ga_ls7e_ard_3-1-0_101072_2014-06-14_final
2014-12-15 11:15:00	ga_ls7e_ard_3-1-0_109081_2014-12-15_final
2015-01-29 10:39:53	ga_ls7e_ard_3-1-0_104070_2015-01-29_final
2015-06-04 09:20:14	ga_ls7e_ard_3-1-0_090085_2015-06-03_final
2015-11-28 10:01:15	ga_ls7e_ard_3-1-0_097076_2015-11-28_final
2016-03-21 09:51:19	ga_ls7e_ard_3-1-0_095079_2016-03-21_final
2016-05-14 09:15:19	ga_ls7e_ard_3-1-0_089081_2016-05-13_final
2017-06-16 11:02:47	ga_ls7e_ard_3-1-0_107071_2017-06-16_final
2017-09-10 10:26:05	ga_ls7e_ard_3-1-0_101072_2017-09-10_final
2017-11-08 10:10:45	ga_ls7e_ard_3-1-0_098080_2017-11-08_final
2018-02-16 09:39:44	ga_ls7e_ard_3-1-0_094067_2018-02-16_final
2019-02-18 10:31:59	ga_ls7e_ard_3-1-0_103078_2019-02-18_final
2019-02-24 09:53:31	ga_ls7e_ard_3-1-0_097075_2019-02-24_final
2019-02-26 09:44:41	ga_ls7e_ard_3-1-0_095084_2019-02-26_final
2019-03-03 09:59:29	ga_ls7e_ard_3-1-0_098075_2019-03-03_final
2019-03-14 09:40:11	ga_ls7e_ard_3-1-0_095074_2019-03-14_final
2019-03-16 11:09:50	ga_ls7e_ard_3-1-0_109082_2019-03-16_final
2019-03-19 10:01:21	ga_ls7e_ard_3-1-0_098081_2019-03-19_final
2019-06-25 11:22:43	ga_ls7e_ard_3-1-0_112077_2019-06-25_final
2019-08-23 11:02:12	ga_ls7e_ard_3-1-0_109078_2019-08-23_final
2019-08-29 10:24:04	ga_ls7e_ard_3-1-0_103076_2019-08-29_final
2019-08-31 10:11:37	ga_ls7e_ard_3-1-0_101076_2019-08-31_final
2019-10-17 11:06:50	ga_ls7e_ard_3-1-0_110080_2019-10-17_final
2019-10-22 11:25:09	ga_ls7e_ard_3-1-0_113080_2019-10-22_final
2019-10-24 09:31:26	ga_ls7e_ard_3-1-0_095074_2019-10-24_final
2019-11-06 09:05:56	ga_ls7e_ard_3-1-0_090089_2019-11-05_final
2019-11-19 10:10:08	ga_ls7e_ard_3-1-0_101081_2019-11-19_final
2019-11-22 10:41:41	ga_ls7e_ard_3-1-0_106083_2019-11-22_final
2019-12-11 09:33:34	ga_ls7e_ard_3-1-0_095085_2019-12-11_final
2019-12-13 10:57:12	ga_ls7e_ard_3-1-0_109078_2019-12-13_final
2019-12-22 10:48:10	ga_ls7e_ard_3-1-0_108072_2019-12-22_final
2020-01-07 09:10:50	ga_ls7e_ard_3-1-0_092078_2020-01-06_final
2020-01-15 09:57:54	ga_ls7e_ard_3-1-0_100073_2020-01-15_final
2020-01-19 11:14:15	ga_ls7e_ard_3-1-0_112079_2020-01-19_final
2020-02-27 11:18:26	ga_ls7e_ard_3-1-0_113079_2020-02-27_final
2020-03-01 10:08:42	ga_ls7e_ard_3-1-0_102075_2020-03-01_final
2020-03-11 10:44:02	ga_ls7e_ard_3-1-0_108072_2020-03-11_final
2020-03-11 10:48:02	ga_ls7e_ard_3-1-0_108082_2020-03-11_final
2020-03-29 08:54:59	ga_ls7e_ard_3-1-0_090080_2020-03-28_final
2020-04-07 08:48:18	ga_ls7e_ard_3-1-0_089080_2020-04-06_final
2020-04-08 11:10:47	ga_ls7e_ard_3-1-0_112081_2020-04-08_final
2020-04-10 09:19:26	ga_ls7e_ard_3-1-0_094081_2020-04-09_final
2021-01-30 09:06:01	ga_ls7e_ard_3-2-0_095080_2021-01-29_final
2021-01-30 10:43:42	ga_ls7e_ard_3-2-0_111077_2021-01-30_final
2021-01-30 10:45:42	ga_ls7e_ard_3-2-0_111082_2021-01-30_final
2021-03-11 09:52:25	ga_ls7e_ard_3-2-0_103080_2021-03-11_final
2021-03-29 09:35:25	ga_ls7e_ard_3-2-0_101072_2021-03-29_final
2021-04-02 09:13:34	ga_ls7e_ard_3-2-0_097080_2021-04-01_final
2021-04-08 08:39:11	ga_ls7e_ard_3-2-0_091088_2021-04-07_final
2021-05-21 09:53:07	ga_ls7e_ard_3-2-0_104081_2021-05-21_final
2021-06-10 09:23:31	ga_ls7e_ard_3-2-0_100073_2021-06-09_final
2021-06-16 08:50:45	ga_ls7e_ard_3-2-0_094085_2021-06-15_final
2021-07-04 08:35:41	ga_ls7e_ard_3-2-0_092082_2021-07-03_final
2021-07-11 08:42:04	ga_ls7e_ard_3-2-0_093084_2021-07-10_final
2021-07-29 10:02:15	ga_ls7e_ard_3-2-0_107072_2021-07-29_final
2021-08-05 10:10:36	ga_ls7e_ard_3-2-0_108079_2021-08-05_final
2021-08-09 09:41:56	ga_ls7e_ard_3-2-0_104070_2021-08-09_final
2021-08-18 09:34:57	ga_ls7e_ard_3-2-0_103070_2021-08-18_final
2021-08-19 08:43:38	ga_ls7e_ard_3-2-0_094081_2021-08-18_final
2021-08-22 09:11:05	ga_ls7e_ard_3-2-0_099073_2021-08-21_final
2021-09-04 10:21:32	ga_ls7e_ard_3-2-0_110082_2021-09-04_final
2021-09-26 09:38:07	ga_ls7e_ard_3-2-0_104071_2021-09-26_final
2021-09-28 09:29:10	ga_ls7e_ard_3-2-0_102080_2021-09-27_final
2021-10-31 10:06:17	ga_ls7e_ard_3-2-0_109072_2021-10-31_final
2021-11-14 08:39:13	ga_ls7e_ard_3-2-1_095074_2021-11-13_final
2021-11-14 08:42:00	ga_ls7e_ard_3-2-1_095081_2021-11-13_final
2021-11-30 08:40:28	ga_ls7e_ard_3-2-1_095081_2021-11-29_final
2021-12-04 09:51:04	ga_ls7e_ard_3-2-1_107073_2021-12-04_final
2021-12-09 10:11:55	ga_ls7e_ard_3-2-1_110080_2021-12-09_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-23 09:10:17	ga_ls7e_ard_3-2-1_102075_2022-03-22_final
2022-03-26 08:06:01	ga_ls7e_ard_3-2-1_091085_2022-03-25_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