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
2000-03-06 09:13:17	ga_ls7e_ard_3-1-0_090085_2000-03-05_final
2001-02-01 11:09:35	ga_ls7e_ard_3-1-0_110072_2001-02-01_final
2002-04-23 09:46:56	ga_ls7e_ard_3-1-0_096086_2002-04-23_final
2003-01-29 09:35:18	ga_ls7e_ard_3-1-0_095073_2003-01-29_final
2003-08-15 09:01:19	ga_ls7e_ard_3-1-0_089081_2003-08-14_final
2004-11-22 09:47:11	ga_ls7e_ard_3-1-0_096086_2004-11-22_final
2005-04-10 09:30:02	ga_ls7e_ard_3-1-0_093088_2005-04-10_final
2005-09-12 10:44:40	ga_ls7e_ard_3-1-0_106075_2005-09-12_final
2006-03-14 09:17:22	ga_ls7e_ard_3-1-0_091086_2006-03-13_final
2006-09-29 10:57:23	ga_ls7e_ard_3-1-0_108075_2006-09-29_final
2007-01-03 09:24:52	ga_ls7e_ard_3-1-0_092089_2007-01-02_final
2007-02-18 11:09:33	ga_ls7e_ard_3-1-0_110072_2007-02-18_final
2007-05-04 09:17:42	ga_ls7e_ard_3-1-0_091086_2007-05-03_final
2007-10-18 10:57:46	ga_ls7e_ard_3-1-0_108075_2007-10-18_final
2008-07-30 11:08:22	ga_ls7e_ard_3-1-0_110072_2008-07-30_final
2011-07-02 09:20:47	ga_ls7e_ard_3-1-0_091086_2011-07-01_final
2012-01-03 10:49:36	ga_ls7e_ard_3-1-0_106075_2012-01-03_final
2012-04-29 09:34:26	ga_ls7e_ard_3-1-0_093087_2012-04-29_final
2012-07-13 10:50:20	ga_ls7e_ard_3-1-0_106075_2012-07-13_final
2012-10-31 11:03:47	ga_ls7e_ard_3-1-0_108075_2012-10-31_final
2012-12-20 10:51:42	ga_ls7e_ard_3-1-0_106075_2012-12-20_final
2013-03-20 09:54:16	ga_ls7e_ard_3-1-0_096086_2013-03-20_final
2013-05-12 10:12:11	ga_ls7e_ard_3-1-0_099085_2013-05-12_final
2013-06-14 10:51:15	ga_ls7e_ard_3-1-0_106075_2013-06-14_final
2013-07-03 11:24:47	ga_ls7e_ard_3-1-0_111082_2013-07-03_final
2013-07-16 10:50:58	ga_ls7e_ard_3-1-0_106075_2013-07-16_final
2014-02-16 09:24:01	ga_ls7e_ard_3-1-0_091086_2014-02-15_final
2014-12-22 09:36:46	ga_ls7e_ard_3-1-0_094067_2014-12-22_final
2015-04-04 11:28:23	ga_ls7e_ard_3-1-0_111082_2015-04-04_final
2015-04-13 11:18:19	ga_ls7e_ard_3-1-0_110072_2015-04-13_final
2015-07-25 09:48:57	ga_ls7e_ard_3-1-0_095079_2015-07-25_final
2015-08-19 09:38:05	ga_ls7e_ard_3-1-0_094067_2015-08-19_final
2016-03-09 09:29:19	ga_ls7e_ard_3-1-0_091086_2016-03-08_final
2016-06-18 09:40:47	ga_ls7e_ard_3-1-0_094067_2016-06-18_final
2016-07-15 09:30:38	ga_ls7e_ard_3-1-0_091088_2016-07-15_final
2017-03-09 10:32:12	ga_ls7e_ard_3-1-0_102073_2017-03-09_final
2017-03-15 11:38:26	ga_ls7e_ard_3-1-0_112084_2017-03-15_final
2017-07-31 10:32:42	ga_ls7e_ard_3-1-0_102073_2017-07-31_final
2018-03-04 09:39:34	ga_ls7e_ard_3-1-0_094067_2018-03-04_final
2018-05-07 11:19:27	ga_ls7e_ard_3-1-0_110072_2018-05-07_final
2018-12-17 09:33:54	ga_ls7e_ard_3-1-0_094067_2018-12-17_final
2019-03-07 09:33:50	ga_ls7e_ard_3-1-0_094073_2019-03-07_final
2019-03-16 11:05:51	ga_ls7e_ard_3-1-0_109072_2019-03-16_final
2019-08-16 10:55:07	ga_ls7e_ard_3-1-0_108075_2019-08-16_final
2019-09-02 09:55:35	ga_ls7e_ard_3-1-0_099067_2019-09-02_final
2019-09-03 09:08:18	ga_ls7e_ard_3-1-0_090088_2019-09-02_final
2019-09-15 11:04:11	ga_ls7e_ard_3-1-0_110070_2019-09-15_final
2019-09-15 11:05:23	ga_ls7e_ard_3-1-0_110073_2019-09-15_final
2019-09-15 11:09:47	ga_ls7e_ard_3-1-0_110084_2019-09-15_final
2019-09-17 09:19:39	ga_ls7e_ard_3-1-0_092087_2019-09-16_final
2019-09-18 09:55:41	ga_ls7e_ard_3-1-0_099069_2019-09-18_final
2019-10-01 11:03:30	ga_ls7e_ard_3-1-0_110070_2019-10-01_final
2019-10-02 10:11:02	ga_ls7e_ard_3-1-0_101078_2019-10-02_final
2019-10-08 09:36:06	ga_ls7e_ard_3-1-0_095084_2019-10-08_final
2019-10-11 10:01:41	ga_ls7e_ard_3-1-0_100071_2019-10-11_final
2019-11-06 10:37:38	ga_ls7e_ard_3-1-0_106071_2019-11-06_final
2019-11-21 09:56:28	ga_ls7e_ard_3-1-0_099078_2019-11-21_final
2019-11-21 09:56:52	ga_ls7e_ard_3-1-0_099079_2019-11-21_final
2019-12-23 09:55:17	ga_ls7e_ard_3-1-0_099079_2019-12-23_final
2019-12-24 10:36:30	ga_ls7e_ard_3-1-0_106074_2019-12-24_final
2020-01-06 10:04:07	ga_ls7e_ard_3-1-0_101072_2020-01-06_final
2020-02-06 09:19:43	ga_ls7e_ard_3-1-0_094073_2020-02-05_final
2020-02-29 11:01:35	ga_ls7e_ard_3-1-0_111068_2020-02-29_final
2020-03-07 09:29:42	ga_ls7e_ard_3-1-0_096071_2020-03-06_final
2020-03-14 11:12:47	ga_ls7e_ard_3-1-0_113067_2020-03-14_final
2020-03-14 11:17:34	ga_ls7e_ard_3-1-0_113079_2020-03-14_final
2020-03-20 10:41:21	ga_ls7e_ard_3-1-0_107082_2020-03-20_final
2020-04-21 09:01:50	ga_ls7e_ard_3-1-0_091085_2020-04-20_final
2020-04-21 10:39:55	ga_ls7e_ard_3-1-0_107083_2020-04-21_final
2020-04-28 09:08:00	ga_ls7e_ard_3-1-0_092086_2020-04-27_final
2021-03-24 09:19:41	ga_ls7e_ard_3-2-0_098078_2021-03-23_final
2021-03-26 09:04:46	ga_ls7e_ard_3-2-0_096072_2021-03-25_final
2021-03-26 10:44:27	ga_ls7e_ard_3-2-0_112074_2021-03-26_final
2021-06-19 09:21:00	ga_ls7e_ard_3-2-0_099084_2021-06-18_final
2021-07-21 10:54:47	ga_ls7e_ard_3-2-0_115078_2021-07-21_final
2021-07-28 09:19:05	ga_ls7e_ard_3-2-0_100072_2021-07-27_final
2021-07-31 08:12:50	ga_ls7e_ard_3-2-0_089077_2021-07-30_final
2021-08-06 09:14:54	ga_ls7e_ard_3-2-0_099079_2021-08-05_final
2021-08-11 09:30:36	ga_ls7e_ard_3-2-0_102073_2021-08-11_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-26 10:24:30	ga_ls7e_ard_3-2-0_111072_2021-08-26_final
2021-09-04 10:17:33	ga_ls7e_ard_3-2-0_110072_2021-09-04_final
2021-09-16 10:43:36	ga_ls7e_ard_3-2-0_114078_2021-09-16_final
2021-10-03 09:42:29	ga_ls7e_ard_3-2-0_105068_2021-10-03_final
2021-10-14 09:24:58	ga_ls7e_ard_3-2-0_102073_2021-10-13_final
2021-10-31 08:32:35	ga_ls7e_ard_3-2-0_093085_2021-10-30_final
2021-10-31 08:32:59	ga_ls7e_ard_3-2-0_093086_2021-10-30_final
2021-11-07 10:11:48	ga_ls7e_ard_3-2-0_110072_2021-11-07_final
2021-11-19 08:56:04	ga_ls7e_ard_3-2-1_098071_2021-11-18_final
2021-11-21 08:46:42	ga_ls7e_ard_3-2-1_096079_2021-11-20_final
2021-11-25 08:25:11	ga_ls7e_ard_3-2-1_092088_2021-11-24_final
2021-11-28 08:49:02	ga_ls7e_ard_3-2-1_097071_2021-11-27_final
2021-12-04 08:17:23	ga_ls7e_ard_3-2-1_091086_2021-12-03_final
2021-12-17 09:18:56	ga_ls7e_ard_3-2-1_102073_2021-12-16_final
2021-12-18 08:24:01	ga_ls7e_ard_3-2-1_093075_2021-12-17_final
2021-12-25 10:08:47	ga_ls7e_ard_3-2-1_110076_2021-12-25_final
2022-01-15 08:45:36	ga_ls7e_ard_3-2-1_097074_2022-01-14_final
2022-01-15 10:24:52	ga_ls7e_ard_3-2-1_113075_2022-01-15_final
2022-01-19 08:24:53	ga_ls7e_ard_3-2-1_093085_2022-01-18_final
2022-02-14 08:52:58	ga_ls7e_ard_3-2-1_099069_2022-02-13_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