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
1999-09-30 10:34:15	ga_ls7e_ard_3-1-0_104070_1999-09-30_final
1999-12-01 09:13:28	ga_ls7e_ard_3-1-0_090085_1999-11-30_final
2000-10-22 10:11:08	ga_ls7e_ard_3-1-0_100081_2000-10-22_final
2000-11-19 10:31:33	ga_ls7e_ard_3-1-0_104070_2000-11-19_final
2001-02-26 09:30:22	ga_ls7e_ard_3-1-0_093087_2001-02-26_final
2001-06-02 09:28:57	ga_ls7e_ard_3-1-0_093085_2001-06-01_final
2002-07-24 10:10:20	ga_ls7e_ard_3-1-0_100084_2002-07-24_final
2003-01-31 09:26:58	ga_ls7e_ard_3-1-0_093083_2003-01-30_final
2003-03-17 10:29:57	ga_ls7e_ard_3-1-0_104070_2003-03-17_final
2003-10-21 09:30:06	ga_ls7e_ard_3-1-0_094076_2003-10-21_final
2004-01-09 09:33:32	ga_ls7e_ard_3-1-0_094083_2004-01-09_final
2004-02-26 09:33:43	ga_ls7e_ard_3-1-0_094083_2004-02-26_final
2004-08-20 09:30:13	ga_ls7e_ard_3-1-0_094075_2004-08-20_final
2005-03-06 10:30:55	ga_ls7e_ard_3-1-0_104070_2005-03-06_final
2005-08-11 09:07:15	ga_ls7e_ard_3-1-0_090078_2005-08-10_final
2005-09-18 10:09:58	ga_ls7e_ard_3-1-0_100081_2005-09-18_final
2006-08-03 09:26:55	ga_ls7e_ard_3-1-0_093080_2006-08-02_final
2007-09-23 09:28:13	ga_ls7e_ard_3-1-0_093083_2007-09-22_final
2007-11-17 09:34:45	ga_ls7e_ard_3-1-0_094083_2007-11-17_final
2010-05-07 10:33:23	ga_ls7e_ard_3-1-0_104070_2010-05-07_final
2010-11-02 09:30:58	ga_ls7e_ard_3-1-0_093083_2010-11-02_final
2010-12-01 10:34:08	ga_ls7e_ard_3-1-0_104070_2010-12-01_final
2011-06-30 09:31:57	ga_ls7e_ard_3-1-0_093083_2011-06-30_final
2011-07-29 10:34:42	ga_ls7e_ard_3-1-0_104070_2011-07-29_final
2011-12-14 09:38:23	ga_ls7e_ard_3-1-0_094083_2011-12-14_final
2012-08-10 09:39:41	ga_ls7e_ard_3-1-0_094083_2012-08-10_final
2012-12-09 09:34:27	ga_ls7e_ard_3-1-0_093083_2012-12-09_final
2013-01-23 10:41:00	ga_ls7e_ard_3-1-0_104079_2013-01-23_final
2013-03-12 10:37:22	ga_ls7e_ard_3-1-0_104070_2013-03-12_final
2013-03-22 09:40:42	ga_ls7e_ard_3-1-0_094083_2013-03-22_final
2014-01-10 10:37:40	ga_ls7e_ard_3-1-0_104070_2014-01-10_final
2014-05-18 10:42:09	ga_ls7e_ard_3-1-0_104079_2014-05-18_final
2015-01-01 10:19:24	ga_ls7e_ard_3-1-0_100081_2015-01-01_final
2015-10-28 10:41:38	ga_ls7e_ard_3-1-0_104070_2015-10-28_final
2015-11-07 09:45:10	ga_ls7e_ard_3-1-0_094083_2015-11-07_final
2015-11-16 09:39:09	ga_ls7e_ard_3-1-0_093083_2015-11-16_final
2016-03-20 10:43:21	ga_ls7e_ard_3-1-0_104070_2016-03-20_final
2016-09-06 09:47:19	ga_ls7e_ard_3-1-0_094083_2016-09-06_final
2017-12-28 11:36:29	ga_ls7e_ard_3-1-0_112079_2017-12-28_final
2018-01-05 10:45:20	ga_ls7e_ard_3-1-0_104075_2018-01-05_final
2018-01-15 09:46:35	ga_ls7e_ard_3-1-0_094083_2018-01-15_final
2018-04-27 10:41:46	ga_ls7e_ard_3-1-0_104070_2018-04-27_final
2018-12-17 09:40:17	ga_ls7e_ard_3-1-0_094083_2018-12-17_final
2019-02-09 10:35:14	ga_ls7e_ard_3-1-0_104070_2019-02-09_final
2019-02-09 10:38:50	ga_ls7e_ard_3-1-0_104079_2019-02-09_final
2019-03-02 10:57:32	ga_ls7e_ard_3-1-0_107081_2019-03-02_final
2019-03-06 10:28:41	ga_ls7e_ard_3-1-0_103071_2019-03-06_final
2019-03-06 10:29:53	ga_ls7e_ard_3-1-0_103074_2019-03-06_final
2019-03-22 10:30:58	ga_ls7e_ard_3-1-0_103078_2019-03-22_final
2019-04-17 09:30:15	ga_ls7e_ard_3-1-0_093083_2019-04-17_final
2019-06-11 09:34:23	ga_ls7e_ard_3-1-0_094083_2019-06-11_final
2019-08-18 09:06:35	ga_ls7e_ard_3-1-0_090082_2019-08-17_final
2019-08-24 10:07:44	ga_ls7e_ard_3-1-0_100081_2019-08-24_final
2019-08-28 11:19:20	ga_ls7e_ard_3-1-0_112075_2019-08-28_final
2019-09-05 10:27:57	ga_ls7e_ard_3-1-0_104071_2019-09-05_final
2019-09-08 09:21:02	ga_ls7e_ard_3-1-0_093074_2019-09-07_final
2019-09-14 10:23:46	ga_ls7e_ard_3-1-0_103077_2019-09-14_final
2019-09-18 09:58:28	ga_ls7e_ard_3-1-0_099076_2019-09-18_final
2019-09-21 10:29:14	ga_ls7e_ard_3-1-0_104076_2019-09-21_final
2019-09-25 10:03:08	ga_ls7e_ard_3-1-0_100073_2019-09-25_final
2019-10-04 09:57:47	ga_ls7e_ard_3-1-0_099076_2019-10-04_final
2019-10-10 09:20:52	ga_ls7e_ard_3-1-0_093077_2019-10-09_final
2019-10-11 10:02:53	ga_ls7e_ard_3-1-0_100074_2019-10-11_final
2019-10-11 10:04:53	ga_ls7e_ard_3-1-0_100079_2019-10-11_final
2019-10-27 10:04:36	ga_ls7e_ard_3-1-0_100080_2019-10-27_final
2019-11-11 09:20:16	ga_ls7e_ard_3-1-0_093079_2019-11-10_final
2019-11-18 09:24:55	ga_ls7e_ard_3-1-0_094076_2019-11-17_final
2019-11-24 10:28:02	ga_ls7e_ard_3-1-0_104080_2019-11-24_final
2019-11-29 10:45:32	ga_ls7e_ard_3-1-0_107078_2019-11-29_final
2019-12-07 09:54:06	ga_ls7e_ard_3-1-0_099074_2019-12-07_final
2019-12-30 09:59:30	ga_ls7e_ard_3-1-0_100075_2019-12-30_final
2020-01-05 09:22:30	ga_ls7e_ard_3-1-0_094076_2020-01-04_final
2020-01-10 11:20:28	ga_ls7e_ard_3-1-0_113078_2020-01-10_final
2020-01-19 11:14:39	ga_ls7e_ard_3-1-0_112080_2020-01-19_final
2020-01-21 09:25:18	ga_ls7e_ard_3-1-0_094085_2020-01-20_final
2020-01-26 11:20:05	ga_ls7e_ard_3-1-0_113079_2020-01-26_final
2020-01-30 09:19:05	ga_ls7e_ard_3-1-0_093086_2020-01-29_final
2020-02-15 09:15:04	ga_ls7e_ard_3-1-0_093078_2020-02-14_final
2020-02-15 09:17:04	ga_ls7e_ard_3-1-0_093083_2020-02-14_final
2020-02-16 09:59:28	ga_ls7e_ard_3-1-0_100081_2020-02-16_final
2020-02-21 10:15:45	ga_ls7e_ard_3-1-0_103076_2020-02-21_final
2020-02-22 09:22:52	ga_ls7e_ard_3-1-0_094083_2020-02-21_final
2020-02-28 10:21:34	ga_ls7e_ard_3-1-0_104076_2020-02-28_final
2020-03-18 09:15:21	ga_ls7e_ard_3-1-0_093083_2020-03-17_final
2020-03-24 10:14:25	ga_ls7e_ard_3-1-0_103077_2020-03-24_final
2020-03-24 10:14:49	ga_ls7e_ard_3-1-0_103078_2020-03-24_final
2020-03-25 09:21:56	ga_ls7e_ard_3-1-0_094085_2020-03-24_final
2020-04-05 10:36:52	ga_ls7e_ard_3-1-0_107073_2020-04-05_final
2020-04-08 11:10:23	ga_ls7e_ard_3-1-0_112080_2020-04-08_final
2020-04-19 09:10:44	ga_ls7e_ard_3-1-0_093076_2020-04-18_final
2022-03-19 09:37:46	ga_ls7e_ard_3-2-1_106081_2022-03-19_final
2022-03-22 10:06:24	ga_ls7e_ard_3-2-1_111076_2022-03-22_final
2022-03-24 08:15:46	ga_ls7e_ard_3-2-1_093078_2022-03-23_final
2022-03-25 08:56:56	ga_ls7e_ard_3-2-1_100073_2022-03-24_final
2022-03-25 09:00:08	ga_ls7e_ard_3-2-1_100081_2022-03-24_final
2022-03-27 08:47:35	ga_ls7e_ard_3-2-1_098081_2022-03-26_final
2022-03-31 08:23:17	ga_ls7e_ard_3-2-1_094083_2022-03-30_final
2022-04-02 08:09:08	ga_ls7e_ard_3-2-1_092079_2022-04-01_final
2022-04-04 07:57:22	ga_ls7e_ard_3-2-1_090081_2022-04-03_final
2022-04-04 09:34:39	ga_ls7e_ard_3-2-1_106077_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