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
1999-09-17 09:32:52	ga_ls7e_ard_3-1-0_093087_1999-09-17_final
2000-05-30 09:31:58	ga_ls7e_ard_3-1-0_093087_2000-05-30_final
2000-07-30 10:32:25	ga_ls7e_ard_3-1-0_104070_2000-07-30_final
2000-12-08 09:29:58	ga_ls7e_ard_3-1-0_093086_2000-12-07_final
2001-11-03 10:00:40	ga_ls7e_ard_3-1-0_099075_2001-11-03_final
2003-08-24 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-08-24_final
2004-01-15 10:30:09	ga_ls7e_ard_3-1-0_104070_2004-01-15_final
2004-11-14 10:30:10	ga_ls7e_ard_3-1-0_104070_2004-11-14_final
2005-02-18 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-02-18_final
2005-06-26 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-06-26_final
2005-10-16 10:30:22	ga_ls7e_ard_3-1-0_104070_2005-10-16_final
2006-06-29 10:31:09	ga_ls7e_ard_3-1-0_104070_2006-06-29_final
2008-03-01 09:27:50	ga_ls7e_ard_3-1-0_093081_2008-02-29_final
2009-01-31 09:30:12	ga_ls7e_ard_3-1-0_093088_2009-01-31_final
2010-02-04 10:11:53	ga_ls7e_ard_3-1-0_100079_2010-02-04_final
2010-02-19 09:29:59	ga_ls7e_ard_3-1-0_093082_2010-02-18_final
2010-04-24 09:29:50	ga_ls7e_ard_3-1-0_093081_2010-04-23_final
2010-05-04 10:07:17	ga_ls7e_ard_3-1-0_099082_2010-05-04_final
2010-10-01 09:27:27	ga_ls7e_ard_3-1-0_093075_2010-09-30_final
2011-12-23 09:33:57	ga_ls7e_ard_3-1-0_093087_2011-12-23_final
2012-04-29 09:34:26	ga_ls7e_ard_3-1-0_093087_2012-04-29_final
2013-12-25 10:37:37	ga_ls7e_ard_3-1-0_104070_2013-12-25_final
2014-11-29 09:36:47	ga_ls7e_ard_3-1-0_093083_2014-11-29_final
2014-12-12 10:39:40	ga_ls7e_ard_3-1-0_104070_2014-12-12_final
2016-02-17 10:43:06	ga_ls7e_ard_3-1-0_104070_2016-02-17_final
2016-03-23 09:42:10	ga_ls7e_ard_3-1-0_093087_2016-03-23_final
2017-12-07 09:42:28	ga_ls7e_ard_3-1-0_093087_2017-12-07_final
2018-02-06 10:42:50	ga_ls7e_ard_3-1-0_104070_2018-02-06_final
2018-04-27 10:41:46	ga_ls7e_ard_3-1-0_104070_2018-04-27_final
2018-10-07 09:35:50	ga_ls7e_ard_3-1-0_093083_2018-10-07_final
2019-01-11 09:34:57	ga_ls7e_ard_3-1-0_093087_2019-01-11_final
2019-01-27 09:34:26	ga_ls7e_ard_3-1-0_093087_2019-01-27_final
2019-02-09 10:35:14	ga_ls7e_ard_3-1-0_104070_2019-02-09_final
2019-02-28 09:33:04	ga_ls7e_ard_3-1-0_093086_2019-02-28_final
2019-03-10 10:08:14	ga_ls7e_ard_3-1-0_099082_2019-03-10_final
2019-03-10 10:08:38	ga_ls7e_ard_3-1-0_099083_2019-03-10_final
2019-03-13 10:34:15	ga_ls7e_ard_3-1-0_104070_2019-03-13_final
2019-04-17 09:29:51	ga_ls7e_ard_3-1-0_093082_2019-04-16_final
2019-07-03 10:30:10	ga_ls7e_ard_3-1-0_104070_2019-07-03_final
2019-08-25 10:46:34	ga_ls7e_ard_3-1-0_107070_2019-08-25_final
2019-09-02 09:58:23	ga_ls7e_ard_3-1-0_099074_2019-09-02_final
2019-09-18 09:56:29	ga_ls7e_ard_3-1-0_099071_2019-09-18_final
2019-09-26 10:46:22	ga_ls7e_ard_3-1-0_107073_2019-09-26_final
2019-10-04 09:58:59	ga_ls7e_ard_3-1-0_099079_2019-10-04_final
2019-10-04 10:00:11	ga_ls7e_ard_3-1-0_099082_2019-10-04_final
2019-10-20 09:53:32	ga_ls7e_ard_3-1-0_099067_2019-10-20_final
2019-10-20 09:58:19	ga_ls7e_ard_3-1-0_099079_2019-10-20_final
2019-10-20 09:59:07	ga_ls7e_ard_3-1-0_099081_2019-10-20_final
2019-10-26 09:19:23	ga_ls7e_ard_3-1-0_093075_2019-10-25_final
2019-10-26 09:21:23	ga_ls7e_ard_3-1-0_093080_2019-10-25_final
2019-10-27 10:05:47	ga_ls7e_ard_3-1-0_100083_2019-10-27_final
2019-10-28 10:45:01	ga_ls7e_ard_3-1-0_107073_2019-10-28_final
2019-11-05 09:58:49	ga_ls7e_ard_3-1-0_099082_2019-11-05_final
2019-11-12 10:01:29	ga_ls7e_ard_3-1-0_100074_2019-11-12_final
2019-11-12 10:03:04	ga_ls7e_ard_3-1-0_100078_2019-11-12_final
2019-11-21 09:58:28	ga_ls7e_ard_3-1-0_099083_2019-11-21_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-11-28 10:00:43	ga_ls7e_ard_3-1-0_100074_2019-11-28_final
2019-12-23 09:51:42	ga_ls7e_ard_3-1-0_099070_2019-12-23_final
2019-12-29 09:16:42	ga_ls7e_ard_3-1-0_093076_2019-12-28_final
2019-12-29 09:19:05	ga_ls7e_ard_3-1-0_093082_2019-12-28_final
2019-12-29 09:21:05	ga_ls7e_ard_3-1-0_093087_2019-12-28_final
2020-01-08 09:55:39	ga_ls7e_ard_3-1-0_099082_2020-01-08_final
2020-01-16 10:40:42	ga_ls7e_ard_3-1-0_107072_2020-01-16_final
2020-01-27 10:22:25	ga_ls7e_ard_3-1-0_104074_2020-01-27_final
2020-02-09 09:54:03	ga_ls7e_ard_3-1-0_099082_2020-02-09_final
2020-02-17 10:40:17	ga_ls7e_ard_3-1-0_107075_2020-02-17_final
2020-02-28 10:21:34	ga_ls7e_ard_3-1-0_104076_2020-02-28_final
2020-03-04 10:40:38	ga_ls7e_ard_3-1-0_107078_2020-03-04_final
2020-03-12 09:47:58	ga_ls7e_ard_3-1-0_099071_2020-03-12_final
2020-03-19 09:58:57	ga_ls7e_ard_3-1-0_100084_2020-03-19_final
2020-03-31 10:17:24	ga_ls7e_ard_3-1-0_104070_2020-03-31_final
2020-04-16 10:19:17	ga_ls7e_ard_3-1-0_104077_2020-04-16_final
2020-04-16 10:21:17	ga_ls7e_ard_3-1-0_104082_2020-04-16_final
2020-04-19 09:13:07	ga_ls7e_ard_3-1-0_093082_2020-04-18_final
2020-04-20 09:52:20	ga_ls7e_ard_3-1-0_100072_2020-04-20_final
2020-04-21 10:35:32	ga_ls7e_ard_3-1-0_107072_2020-04-21_final
2020-04-21 10:38:43	ga_ls7e_ard_3-1-0_107080_2020-04-21_final
2020-04-21 10:39:07	ga_ls7e_ard_3-1-0_107081_2020-04-21_final
2020-04-29 09:48:49	ga_ls7e_ard_3-1-0_099080_2020-04-29_final
2022-03-13 08:35:47	ga_ls7e_ard_3-2-1_096079_2022-03-12_final
2022-03-13 10:13:04	ga_ls7e_ard_3-2-1_112075_2022-03-13_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-19 07:57:18	ga_ls7e_ard_3-2-1_090077_2022-03-18_final
2022-03-22 10:06:24	ga_ls7e_ard_3-2-1_111076_2022-03-22_final
2022-03-22 10:07:36	ga_ls7e_ard_3-2-1_111079_2022-03-22_final
2022-03-24 08:16:58	ga_ls7e_ard_3-2-1_093081_2022-03-23_final
2022-03-25 09:00:08	ga_ls7e_ard_3-2-1_100081_2022-03-24_final
2022-03-25 09:00:56	ga_ls7e_ard_3-2-1_100083_2022-03-24_final
2022-03-26 08:02:49	ga_ls7e_ard_3-2-1_091077_2022-03-25_final
2022-03-26 08:07:13	ga_ls7e_ard_3-2-1_091088_2022-03-25_final
2022-03-26 09:39:42	ga_ls7e_ard_3-2-1_107072_2022-03-26_final
2022-03-29 08:31:03	ga_ls7e_ard_3-2-1_096071_2022-03-28_final
2022-03-29 08:33:02	ga_ls7e_ard_3-2-1_096076_2022-03-28_final
2022-03-29 08:34:14	ga_ls7e_ard_3-2-1_096079_2022-03-28_final
2022-03-30 09:17:24	ga_ls7e_ard_3-2-1_103079_2022-03-29_final
2022-03-31 08:20:29	ga_ls7e_ard_3-2-1_094076_2022-03-30_final
2022-03-31 08:22:29	ga_ls7e_ard_3-2-1_094081_2022-03-30_final
2022-03-31 08:22:53	ga_ls7e_ard_3-2-1_094082_2022-03-30_final
2022-04-03 08:53:53	ga_ls7e_ard_3-2-1_099083_2022-04-02_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