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
1999-07-09 10:02:42	ga_ls7e_ard_3-1-0_099069_1999-07-09_final
2001-07-04 09:28:36	ga_ls7e_ard_3-1-0_093085_2001-07-03_final
2003-04-05 09:28:46	ga_ls7e_ard_3-1-0_093087_2003-04-04_final
2003-08-27 09:28:00	ga_ls7e_ard_3-1-0_093086_2003-08-26_final
2004-03-06 09:29:13	ga_ls7e_ard_3-1-0_093087_2004-03-05_final
2006-02-08 09:30:04	ga_ls7e_ard_3-1-0_093087_2006-02-08_final
2006-08-03 09:26:55	ga_ls7e_ard_3-1-0_093080_2006-08-02_final
2006-12-09 09:29:46	ga_ls7e_ard_3-1-0_093086_2006-12-08_final
2007-04-16 09:30:08	ga_ls7e_ard_3-1-0_093086_2007-04-16_final
2008-08-02 09:59:34	ga_ls7e_ard_3-1-0_099070_2008-08-02_final
2008-09-03 09:59:21	ga_ls7e_ard_3-1-0_099070_2008-09-03_final
2009-03-20 09:29:49	ga_ls7e_ard_3-1-0_093086_2009-03-19_final
2009-08-27 09:29:48	ga_ls7e_ard_3-1-0_093086_2009-08-26_final
2010-03-07 09:30:07	ga_ls7e_ard_3-1-0_093082_2010-03-07_final
2010-03-23 09:29:48	ga_ls7e_ard_3-1-0_093081_2010-03-22_final
2010-03-23 09:30:12	ga_ls7e_ard_3-1-0_093082_2010-03-23_final
2010-09-15 09:29:55	ga_ls7e_ard_3-1-0_093081_2010-09-14_final
2010-10-01 09:28:39	ga_ls7e_ard_3-1-0_093078_2010-09-30_final
2010-10-17 09:30:02	ga_ls7e_ard_3-1-0_093081_2010-10-17_final
2011-03-26 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-03-26_final
2011-11-05 09:29:52	ga_ls7e_ard_3-1-0_093078_2011-11-04_final
2012-10-22 09:34:14	ga_ls7e_ard_3-1-0_093083_2012-10-22_final
2013-08-22 09:30:12	ga_ls7e_ard_3-1-0_093074_2013-08-22_final
2014-01-29 09:36:52	ga_ls7e_ard_3-1-0_093087_2014-01-29_final
2014-10-28 09:36:32	ga_ls7e_ard_3-1-0_093083_2014-10-28_final
2015-06-25 09:38:02	ga_ls7e_ard_3-1-0_093083_2015-06-25_final
2017-02-22 09:40:27	ga_ls7e_ard_3-1-0_093083_2017-02-22_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2018-09-21 09:36:13	ga_ls7e_ard_3-1-0_093083_2018-09-21_final
2019-01-11 09:34:57	ga_ls7e_ard_3-1-0_093087_2019-01-11_final
2019-02-22 10:06:20	ga_ls7e_ard_3-1-0_099076_2019-02-22_final
2019-02-22 10:08:44	ga_ls7e_ard_3-1-0_099082_2019-02-22_final
2019-02-28 09:28:17	ga_ls7e_ard_3-1-0_093074_2019-02-27_final
2019-02-28 09:30:16	ga_ls7e_ard_3-1-0_093079_2019-02-28_final
2019-03-02 10:57:08	ga_ls7e_ard_3-1-0_107080_2019-03-02_final
2019-03-02 10:57:32	ga_ls7e_ard_3-1-0_107081_2019-03-02_final
2019-03-10 10:05:26	ga_ls7e_ard_3-1-0_099075_2019-03-10_final
2019-03-10 10:05:50	ga_ls7e_ard_3-1-0_099076_2019-03-10_final
2019-03-16 09:32:33	ga_ls7e_ard_3-1-0_093086_2019-03-16_final
2019-03-18 10:54:37	ga_ls7e_ard_3-1-0_107075_2019-03-18_final
2019-03-26 10:07:18	ga_ls7e_ard_3-1-0_099081_2019-03-26_final
2019-04-17 09:30:15	ga_ls7e_ard_3-1-0_093083_2019-04-17_final
2019-09-02 09:57:59	ga_ls7e_ard_3-1-0_099073_2019-09-02_final
2019-09-02 09:59:11	ga_ls7e_ard_3-1-0_099076_2019-09-02_final
2019-09-08 09:25:26	ga_ls7e_ard_3-1-0_093085_2019-09-07_final
2019-09-10 10:49:28	ga_ls7e_ard_3-1-0_107079_2019-09-10_final
2019-09-24 09:25:55	ga_ls7e_ard_3-1-0_093088_2019-09-23_final
2019-09-26 10:46:22	ga_ls7e_ard_3-1-0_107073_2019-09-26_final
2019-10-04 09:57:24	ga_ls7e_ard_3-1-0_099075_2019-10-04_final
2019-10-10 09:22:51	ga_ls7e_ard_3-1-0_093082_2019-10-09_final
2019-10-20 09:59:07	ga_ls7e_ard_3-1-0_099081_2019-10-20_final
2019-11-05 09:56:25	ga_ls7e_ard_3-1-0_099076_2019-11-05_final
2019-11-11 09:19:04	ga_ls7e_ard_3-1-0_093076_2019-11-10_final
2019-11-13 10:43:54	ga_ls7e_ard_3-1-0_107072_2019-11-13_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-11-27 09:20:42	ga_ls7e_ard_3-1-0_093082_2019-11-26_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2019-12-07 09:54:06	ga_ls7e_ard_3-1-0_099074_2019-12-07_final
2019-12-07 09:56:54	ga_ls7e_ard_3-1-0_099081_2019-12-07_final
2019-12-23 09:52:53	ga_ls7e_ard_3-1-0_099073_2019-12-23_final
2019-12-29 09:19:05	ga_ls7e_ard_3-1-0_093082_2019-12-28_final
2020-01-08 09:52:27	ga_ls7e_ard_3-1-0_099074_2020-01-08_final
2020-02-09 09:51:40	ga_ls7e_ard_3-1-0_099076_2020-02-09_final
2020-02-15 09:14:40	ga_ls7e_ard_3-1-0_093077_2020-02-14_final
2020-02-17 10:39:05	ga_ls7e_ard_3-1-0_107072_2020-02-17_final
2020-03-02 09:14:37	ga_ls7e_ard_3-1-0_093079_2020-03-01_final
2020-03-02 09:15:25	ga_ls7e_ard_3-1-0_093081_2020-03-01_final
2020-03-18 09:11:45	ga_ls7e_ard_3-1-0_093074_2020-03-17_final
2020-03-18 09:12:33	ga_ls7e_ard_3-1-0_093076_2020-03-17_final
2020-03-28 09:48:40	ga_ls7e_ard_3-1-0_099075_2020-03-28_final
2020-04-03 09:11:15	ga_ls7e_ard_3-1-0_093075_2020-04-02_final
2020-04-21 10:35:32	ga_ls7e_ard_3-1-0_107072_2020-04-21_final
2020-04-21 10:38:20	ga_ls7e_ard_3-1-0_107079_2020-04-21_final
2022-03-13 08:33:23	ga_ls7e_ard_3-2-1_096073_2022-03-12_final
2022-03-14 09:18:32	ga_ls7e_ard_3-2-1_103078_2022-03-13_final
2022-03-15 08:22:01	ga_ls7e_ard_3-2-1_094076_2022-03-14_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_final
2022-03-19 09:37:22	ga_ls7e_ard_3-2-1_106080_2022-03-19_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_final
2022-03-20 08:43:39	ga_ls7e_ard_3-2-1_097085_2022-03-19_final
2022-03-21 09:20:26	ga_ls7e_ard_3-2-1_104069_2022-03-20_final
2022-03-23 09:10:17	ga_ls7e_ard_3-2-1_102075_2022-03-22_final
2022-03-23 09:11:05	ga_ls7e_ard_3-2-1_102077_2022-03-22_final
2022-03-24 09:55:51	ga_ls7e_ard_3-2-1_109081_2022-03-24_final
2022-03-24 09:56:15	ga_ls7e_ard_3-2-1_109082_2022-03-24_final
2022-03-25 08:59:20	ga_ls7e_ard_3-2-1_100079_2022-03-24_final
2022-03-26 09:40:06	ga_ls7e_ard_3-2-1_107073_2022-03-26_final
2022-03-26 09:40:30	ga_ls7e_ard_3-2-1_107074_2022-03-26_final
2022-03-28 09:27:33	ga_ls7e_ard_3-2-1_105073_2022-03-27_final
2022-03-29 10:13:31	ga_ls7e_ard_3-2-1_112080_2022-03-29_final
2022-03-30 09:15:00	ga_ls7e_ard_3-2-1_103073_2022-03-29_final
2022-03-30 09:16:12	ga_ls7e_ard_3-2-1_103076_2022-03-29_final
2022-03-30 09:17:00	ga_ls7e_ard_3-2-1_103078_2022-03-29_final
2022-03-31 08:19:41	ga_ls7e_ard_3-2-1_094074_2022-03-30_final
2022-03-31 10:00:34	ga_ls7e_ard_3-2-1_110079_2022-03-31_final
2022-04-01 09:02:03	ga_ls7e_ard_3-2-1_101072_2022-03-31_final
2022-04-03 08:50:41	ga_ls7e_ard_3-2-1_099075_2022-04-02_final
2022-04-04 09:36:39	ga_ls7e_ard_3-2-1_106082_2022-04-04_final
2022-04-05 08:40:08	ga_ls7e_ard_3-2-1_097080_2022-04-04_final
2022-04-05 08:40:31	ga_ls7e_ard_3-2-1_097081_2022-04-04_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