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
2000-08-31 10:32:07	ga_ls7e_ard_3-1-0_104070_2000-08-31_final
2000-10-02 10:31:40	ga_ls7e_ard_3-1-0_104070_2000-10-02_final
2000-10-16 09:10:49	ga_ls7e_ard_3-1-0_090085_2000-10-15_final
2000-11-22 09:29:56	ga_ls7e_ard_3-1-0_093086_2000-11-21_final
2000-12-05 10:31:32	ga_ls7e_ard_3-1-0_104070_2000-12-05_final
2001-06-07 11:25:54	ga_ls7e_ard_3-1-0_112084_2001-06-07_final
2001-09-03 10:29:52	ga_ls7e_ard_3-1-0_104070_2001-09-03_final
2002-01-28 09:28:51	ga_ls7e_ard_3-1-0_093087_2002-01-27_final
2002-04-13 09:09:30	ga_ls7e_ard_3-1-0_090085_2002-04-12_final
2002-04-29 09:09:31	ga_ls7e_ard_3-1-0_090085_2002-04-28_final
2002-10-24 10:29:01	ga_ls7e_ard_3-1-0_104070_2002-10-24_final
2003-08-16 11:21:52	ga_ls7e_ard_3-1-0_112077_2003-08-16_final
2004-05-15 10:27:50	ga_ls7e_ard_3-1-0_103079_2004-05-15_final
2006-09-20 09:27:56	ga_ls7e_ard_3-1-0_093083_2006-09-19_final
2007-08-23 10:10:53	ga_ls7e_ard_3-1-0_100081_2007-08-23_final
2008-01-02 11:23:49	ga_ls7e_ard_3-1-0_112077_2008-01-02_final
2008-10-02 09:30:09	ga_ls7e_ard_3-1-0_094075_2008-10-02_final
2010-02-16 10:33:09	ga_ls7e_ard_3-1-0_104070_2010-02-16_final
2010-05-10 09:30:35	ga_ls7e_ard_3-1-0_093083_2010-05-10_final
2011-08-17 09:29:50	ga_ls7e_ard_3-1-0_093078_2011-08-16_final
2013-06-10 09:40:17	ga_ls7e_ard_3-1-0_094083_2013-06-10_final
2013-12-03 09:40:56	ga_ls7e_ard_3-1-0_094083_2013-12-03_final
2013-12-09 10:37:35	ga_ls7e_ard_3-1-0_104070_2013-12-09_final
2014-01-13 09:36:33	ga_ls7e_ard_3-1-0_093087_2014-01-13_final
2014-10-28 09:36:32	ga_ls7e_ard_3-1-0_093083_2014-10-28_final
2015-02-18 10:19:38	ga_ls7e_ard_3-1-0_100081_2015-02-18_final
2015-05-31 09:44:07	ga_ls7e_ard_3-1-0_094083_2015-05-31_final
2015-08-28 09:38:17	ga_ls7e_ard_3-1-0_093083_2015-08-28_final
2016-01-26 09:46:22	ga_ls7e_ard_3-1-0_094083_2016-01-26_final
2016-02-25 11:35:21	ga_ls7e_ard_3-1-0_112077_2016-02-25_final
2016-11-23 11:35:59	ga_ls7e_ard_3-1-0_112077_2016-11-23_final
2017-02-22 09:40:27	ga_ls7e_ard_3-1-0_093083_2017-02-22_final
2017-05-29 09:40:58	ga_ls7e_ard_3-1-0_093083_2017-05-29_final
2017-08-08 09:47:14	ga_ls7e_ard_3-1-0_094083_2017-08-08_final
2017-11-12 09:47:13	ga_ls7e_ard_3-1-0_094083_2017-11-12_final
2018-05-17 10:21:05	ga_ls7e_ard_3-1-0_100081_2018-05-17_final
2018-06-14 10:44:33	ga_ls7e_ard_3-1-0_104079_2018-06-14_final
2018-12-23 10:36:44	ga_ls7e_ard_3-1-0_104070_2018-12-23_final
2019-02-18 10:31:11	ga_ls7e_ard_3-1-0_103076_2019-02-18_final
2019-02-19 09:37:08	ga_ls7e_ard_3-1-0_094080_2019-02-19_final
2019-02-19 09:38:20	ga_ls7e_ard_3-1-0_094083_2019-02-19_final
2019-02-22 10:05:57	ga_ls7e_ard_3-1-0_099075_2019-02-22_final
2019-03-01 10:11:54	ga_ls7e_ard_3-1-0_100075_2019-03-01_final
2019-03-01 10:13:30	ga_ls7e_ard_3-1-0_100079_2019-03-01_final
2019-03-06 10:31:29	ga_ls7e_ard_3-1-0_103078_2019-03-06_final
2019-03-07 09:38:14	ga_ls7e_ard_3-1-0_094084_2019-03-07_final
2019-03-10 10:05:26	ga_ls7e_ard_3-1-0_099075_2019-03-10_final
2019-03-13 10:35:03	ga_ls7e_ard_3-1-0_104072_2019-03-13_final
2019-03-18 10:53:25	ga_ls7e_ard_3-1-0_107072_2019-03-18_final
2019-03-21 11:26:37	ga_ls7e_ard_3-1-0_112078_2019-03-21_final
2019-03-23 09:34:30	ga_ls7e_ard_3-1-0_094076_2019-03-23_final
2019-03-28 11:31:46	ga_ls7e_ard_3-1-0_113076_2019-03-28_final
2019-07-23 10:09:03	ga_ls7e_ard_3-1-0_100081_2019-07-23_final
2019-08-23 11:03:00	ga_ls7e_ard_3-1-0_109080_2019-08-23_final
2019-08-29 10:23:16	ga_ls7e_ard_3-1-0_103074_2019-08-29_final
2019-09-03 09:06:18	ga_ls7e_ard_3-1-0_090083_2019-09-02_final
2019-09-04 11:26:01	ga_ls7e_ard_3-1-0_113077_2019-09-04_final
2019-09-05 10:31:32	ga_ls7e_ard_3-1-0_104080_2019-09-05_final
2019-09-15 09:27:42	ga_ls7e_ard_3-1-0_094076_2019-09-14_final
2019-09-29 11:17:56	ga_ls7e_ard_3-1-0_112075_2019-09-29_final
2019-09-29 11:19:56	ga_ls7e_ard_3-1-0_112080_2019-09-29_final
2019-09-30 10:23:52	ga_ls7e_ard_3-1-0_103079_2019-09-30_final
2019-10-01 09:27:01	ga_ls7e_ard_3-1-0_094076_2019-09-30_final
2019-10-16 10:21:13	ga_ls7e_ard_3-1-0_103074_2019-10-16_final
2019-10-26 09:20:59	ga_ls7e_ard_3-1-0_093079_2019-10-25_final
2019-11-06 09:02:45	ga_ls7e_ard_3-1-0_090081_2019-11-05_final
2019-11-12 10:03:28	ga_ls7e_ard_3-1-0_100079_2019-11-12_final
2019-11-17 10:21:47	ga_ls7e_ard_3-1-0_103079_2019-11-17_final
2019-12-04 09:24:33	ga_ls7e_ard_3-1-0_094077_2019-12-03_final
2019-12-04 09:25:21	ga_ls7e_ard_3-1-0_094079_2019-12-03_final
2019-12-13 09:17:55	ga_ls7e_ard_3-1-0_093077_2019-12-12_final
2019-12-13 10:58:00	ga_ls7e_ard_3-1-0_109080_2019-12-13_final
2019-12-14 10:00:20	ga_ls7e_ard_3-1-0_100075_2019-12-14_final
2019-12-20 09:26:08	ga_ls7e_ard_3-1-0_094083_2019-12-19_final
2020-01-05 09:22:54	ga_ls7e_ard_3-1-0_094077_2020-01-04_final
2020-03-12 09:49:10	ga_ls7e_ard_3-1-0_099074_2020-03-12_final
2020-03-25 09:18:20	ga_ls7e_ard_3-1-0_094076_2020-03-24_final
2020-03-29 08:54:59	ga_ls7e_ard_3-1-0_090080_2020-03-28_final
2020-03-31 10:19:24	ga_ls7e_ard_3-1-0_104075_2020-03-31_final
2020-04-04 09:56:27	ga_ls7e_ard_3-1-0_100080_2020-04-04_final
2020-04-09 10:13:54	ga_ls7e_ard_3-1-0_103078_2020-04-09_final
2020-04-14 08:54:52	ga_ls7e_ard_3-1-0_090082_2020-04-13_final
2020-04-16 10:18:53	ga_ls7e_ard_3-1-0_104076_2020-04-16_final
2020-04-19 09:11:08	ga_ls7e_ard_3-1-0_093077_2020-04-18_final
2020-04-26 09:17:41	ga_ls7e_ard_3-1-0_094079_2020-04-25_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-17 09:46:44	ga_ls7e_ard_3-2-1_108072_2022-03-17_final
2022-03-17 09:49:55	ga_ls7e_ard_3-2-1_108080_2022-03-17_final
2022-03-18 08:52:12	ga_ls7e_ard_3-2-1_099075_2022-03-17_final
2022-03-20 08:40:28	ga_ls7e_ard_3-2-1_097077_2022-03-19_final
2022-03-21 09:22:50	ga_ls7e_ard_3-2-1_104075_2022-03-20_final
2022-03-26 09:42:30	ga_ls7e_ard_3-2-1_107079_2022-03-26_final
2022-03-29 08:35:26	ga_ls7e_ard_3-2-1_096082_2022-03-28_final
2022-03-29 10:13:31	ga_ls7e_ard_3-2-1_112080_2022-03-29_final
2022-03-30 09:14:12	ga_ls7e_ard_3-2-1_103071_2022-03-29_final
2022-03-30 09:15:24	ga_ls7e_ard_3-2-1_103074_2022-03-29_final
2022-03-31 08:20:05	ga_ls7e_ard_3-2-1_094075_2022-03-30_final
2022-04-02 08:10:44	ga_ls7e_ard_3-2-1_092083_2022-04-01_final
2022-04-03 08:50:18	ga_ls7e_ard_3-2-1_099074_2022-04-02_final
2022-04-05 08:41:19	ga_ls7e_ard_3-2-1_097083_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