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
2000-11-20 09:41:55	ga_ls7e_ard_3-0-0_095085_2000-11-20_final
2001-11-07 09:40:00	ga_ls7e_ard_3-0-0_095085_2001-11-07_final
2002-03-31 09:40:47	ga_ls7e_ard_3-0-0_095086_2002-03-31_final
2003-10-12 09:35:41	ga_ls7e_ard_3-0-0_095075_2003-10-12_final
2004-05-07 09:39:59	ga_ls7e_ard_3-0-0_095083_2004-05-07_final
2004-09-12 09:36:15	ga_ls7e_ard_3-0-0_095075_2004-09-12_final
2006-02-22 09:40:04	ga_ls7e_ard_3-0-0_095081_2006-02-22_final
2006-06-14 09:40:00	ga_ls7e_ard_3-0-0_095081_2006-06-14_final
2006-09-02 09:39:36	ga_ls7e_ard_3-0-0_095081_2006-09-02_final
2006-12-07 09:41:19	ga_ls7e_ard_3-0-0_095084_2006-12-07_final
2007-03-29 09:40:56	ga_ls7e_ard_3-0-0_095082_2007-03-29_final
2007-08-04 09:41:42	ga_ls7e_ard_3-0-0_095085_2007-08-04_final
2007-08-20 09:40:24	ga_ls7e_ard_3-0-0_095082_2007-08-20_final
2008-12-28 09:39:12	ga_ls7e_ard_3-0-0_095080_2008-12-28_final
2009-01-13 09:40:53	ga_ls7e_ard_3-0-0_095084_2009-01-13_final
2009-04-19 09:40:21	ga_ls7e_ard_3-0-0_095081_2009-04-19_final
2009-07-24 09:41:28	ga_ls7e_ard_3-0-0_095084_2009-07-24_final
2009-12-31 09:42:52	ga_ls7e_ard_3-0-0_095085_2009-12-31_final
2010-06-25 09:42:10	ga_ls7e_ard_3-0-0_095081_2010-06-25_final
2011-10-18 09:45:17	ga_ls7e_ard_3-0-0_095086_2011-10-18_final
2012-01-06 09:46:01	ga_ls7e_ard_3-0-0_095086_2012-01-06_final
2013-10-07 09:47:30	ga_ls7e_ard_3-0-0_095085_2013-10-07_final
2014-02-28 09:44:43	ga_ls7e_ard_3-0-0_095076_2014-02-28_final
2014-11-27 09:47:55	ga_ls7e_ard_3-0-0_095080_2014-11-27_final
2015-08-26 09:50:38	ga_ls7e_ard_3-0-0_095083_2015-08-26_final
2016-01-17 09:53:39	ga_ls7e_ard_3-0-0_095086_2016-01-17_final
2016-03-21 09:52:31	ga_ls7e_ard_3-0-0_095082_2016-03-21_final
2016-09-13 09:50:18	ga_ls7e_ard_3-0-0_095075_2016-09-13_final
2016-11-16 09:52:56	ga_ls7e_ard_3-0-0_095082_2016-11-16_final
2017-06-28 09:50:39	ga_ls7e_ard_3-0-0_095076_2017-06-28_final
2018-02-23 09:50:38	ga_ls7e_ard_3-1-0_095079_2018-02-23_final
2018-03-11 09:52:27	ga_ls7e_ard_3-0-0_095084_2018-03-11_final
2018-10-21 09:47:28	ga_ls7e_ard_3-0-0_095082_2018-10-21_final
2018-11-06 09:44:43	ga_ls7e_ard_3-0-0_095076_2018-11-06_final
2019-01-09 09:45:47	ga_ls7e_ard_3-0-0_095083_2019-01-09_final
2019-02-10 09:45:11	ga_ls7e_ard_3-0-0_095084_2019-02-10_final
2019-03-14 09:40:59	ga_ls7e_ard_3-1-0_095076_2019-03-14_final
2019-03-14 09:44:35	ga_ls7e_ard_3-1-0_095085_2019-03-14_final
2019-06-18 09:40:42	ga_ls7e_ard_3-0-0_095084_2019-06-18_final
2019-08-05 09:38:02	ga_ls7e_ard_3-0-0_095082_2019-08-05_final
2020-06-04 09:23:07	ga_ls7e_ard_3-1-0_095083_2020-06-03_final
2020-07-06 09:20:01	ga_ls7e_ard_3-1-0_095080_2020-07-05_final
2020-09-24 09:15:19	ga_ls7e_ard_3-1-0_095081_2020-09-23_final
2021-02-15 10:42:07	ga_ls7e_ard_3-2-0_111076_2021-02-15_final
2021-02-18 09:35:06	ga_ls7e_ard_3-2-0_100079_2021-02-18_final
2021-02-24 10:36:27	ga_ls7e_ard_3-2-0_110079_2021-02-24_final
2021-03-21 10:29:54	ga_ls7e_ard_3-2-0_109083_2021-03-21_final
2021-03-22 09:33:48	ga_ls7e_ard_3-2-0_100082_2021-03-22_final
2021-03-31 09:26:29	ga_ls7e_ard_3-2-0_099081_2021-03-30_final
2021-05-08 08:43:26	ga_ls7e_ard_3-2-0_093074_2021-05-07_final
2021-05-15 10:26:43	ga_ls7e_ard_3-2-0_110071_2021-05-15_final
2021-05-27 09:11:56	ga_ls7e_ard_3-2-0_098072_2021-05-26_final
2021-05-28 08:19:25	ga_ls7e_ard_3-2-0_089080_2021-05-27_final
2021-05-28 09:54:18	ga_ls7e_ard_3-2-0_105070_2021-05-28_final
2021-06-02 10:16:00	ga_ls7e_ard_3-2-0_108079_2021-06-02_final
2021-06-05 09:10:10	ga_ls7e_ard_3-2-0_097085_2021-06-04_final
2021-06-07 10:35:44	ga_ls7e_ard_3-2-0_111083_2021-06-07_final
2021-06-08 09:36:27	ga_ls7e_ard_3-2-0_102074_2021-06-08_final
2021-06-14 08:57:41	ga_ls7e_ard_3-2-0_096071_2021-06-13_final
2021-06-27 10:08:35	ga_ls7e_ard_3-2-0_107081_2021-06-27_final
2021-07-11 08:42:04	ga_ls7e_ard_3-2-0_093084_2021-07-10_final
2021-07-11 10:20:09	ga_ls7e_ard_3-2-0_109082_2021-07-11_final
2021-07-19 09:27:38	ga_ls7e_ard_3-2-0_101076_2021-07-18_final
2021-07-20 08:31:32	ga_ls7e_ard_3-2-0_092075_2021-07-19_final
2021-07-25 10:30:07	ga_ls7e_ard_3-2-0_111079_2021-07-25_final
2021-07-29 10:02:15	ga_ls7e_ard_3-2-0_107072_2021-07-29_final
2021-07-30 10:47:01	ga_ls7e_ard_3-2-0_114076_2021-07-30_final
2021-08-06 09:12:54	ga_ls7e_ard_3-2-0_099074_2021-08-05_final
2021-08-12 08:38:53	ga_ls7e_ard_3-2-0_093083_2021-08-11_final
2021-08-20 09:23:13	ga_ls7e_ard_3-2-0_101072_2021-08-19_final
2021-08-24 10:40:14	ga_ls7e_ard_3-2-0_113080_2021-08-24_final
2021-09-06 08:29:20	ga_ls7e_ard_3-2-0_092080_2021-09-05_final
2021-09-06 10:03:49	ga_ls7e_ard_3-2-0_108069_2021-09-06_final
2021-09-11 10:27:54	ga_ls7e_ard_3-2-0_111084_2021-09-11_final
2021-09-15 08:23:33	ga_ls7e_ard_3-2-0_091083_2021-09-14_final
2021-09-22 10:07:35	ga_ls7e_ard_3-2-0_108082_2021-09-22_final
2021-09-23 09:08:17	ga_ls7e_ard_3-2-0_099073_2021-09-22_final
2021-10-06 08:41:25	ga_ls7e_ard_3-2-0_094086_2021-10-05_final
2021-10-09 09:07:16	ga_ls7e_ard_3-2-0_099074_2021-10-08_final
2021-10-17 09:56:24	ga_ls7e_ard_3-2-0_107075_2021-10-17_final
2021-11-02 08:20:02	ga_ls7e_ard_3-2-0_091085_2021-11-01_final
2021-11-18 08:18:54	ga_ls7e_ard_3-2-1_091086_2021-11-17_final
2021-12-04 08:14:35	ga_ls7e_ard_3-2-1_091079_2021-12-03_final
2021-12-11 09:59:46	ga_ls7e_ard_3-2-1_108081_2021-12-11_final
2021-12-14 08:48:43	ga_ls7e_ard_3-2-1_097074_2021-12-13_final
2021-12-16 08:38:57	ga_ls7e_ard_3-2-1_095081_2021-12-15_final
2021-12-28 09:02:54	ga_ls7e_ard_3-2-1_099082_2021-12-27_final
2022-01-01 08:38:58	ga_ls7e_ard_3-2-1_095085_2021-12-31_final
2022-01-13 09:01:44	ga_ls7e_ard_3-2-1_099083_2022-01-12_final
2022-01-16 09:27:58	ga_ls7e_ard_3-2-1_104072_2022-01-15_final
2022-01-30 09:43:21	ga_ls7e_ard_3-2-1_106083_2022-01-30_final
2022-01-31 10:23:19	ga_ls7e_ard_3-2-1_113075_2022-01-31_final
2022-01-31 10:24:07	ga_ls7e_ard_3-2-1_113077_2022-01-31_final
2022-01-31 10:25:19	ga_ls7e_ard_3-2-1_113080_2022-01-31_final
2022-02-12 09:06:44	ga_ls7e_ard_3-2-1_101072_2022-02-11_final
2022-02-26 09:20:55	ga_ls7e_ard_3-2-1_103080_2022-02-25_final
2022-03-01 09:52:43	ga_ls7e_ard_3-2-1_108083_2022-03-01_final
2022-03-02 08:57:24	ga_ls7e_ard_3-2-1_099084_2022-03-01_final
2022-03-07 09:11:52	ga_ls7e_ard_3-2-1_102075_2022-03-06_final
2022-03-11 08:47:09	ga_ls7e_ard_3-2-1_098076_2022-03-10_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