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
2002-11-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2002-11-25_final
2003-09-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2003-09-25_final
2004-01-02 09:28:56	ga_ls7e_ard_3-1-0_093087_2004-01-01_final
2004-01-09 09:29:56	ga_ls7e_ard_3-1-0_094074_2004-01-08_final
2004-02-19 09:29:08	ga_ls7e_ard_3-1-0_093087_2004-02-18_final
2004-05-16 09:30:13	ga_ls7e_ard_3-1-0_094074_2004-05-16_final
2004-09-08 10:04:36	ga_ls7e_ard_3-1-0_099084_2004-09-08_final
2004-09-14 09:27:04	ga_ls7e_ard_3-1-0_093083_2004-09-13_final
2005-06-29 09:29:49	ga_ls7e_ard_3-1-0_093088_2005-06-28_final
2006-01-09 10:51:59	ga_ls7e_ard_3-1-0_107076_2006-01-09_final
2006-06-23 09:34:34	ga_ls7e_ard_3-1-0_094083_2006-06-23_final
2006-07-15 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-07-15_final
2006-08-19 09:30:05	ga_ls7e_ard_3-1-0_093088_2006-08-19_final
2007-11-07 10:31:16	ga_ls7e_ard_3-1-0_104070_2007-11-07_final
2008-03-01 09:25:26	ga_ls7e_ard_3-1-0_093075_2008-02-29_final
2009-12-14 10:32:12	ga_ls7e_ard_3-1-0_104070_2009-12-14_final
2010-08-21 09:36:51	ga_ls7e_ard_3-1-0_094083_2010-08-21_final
2011-02-03 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-02-03_final
2011-10-04 09:33:18	ga_ls7e_ard_3-1-0_093087_2011-10-04_final
2012-01-24 09:34:01	ga_ls7e_ard_3-1-0_093087_2012-01-24_final
2012-02-09 09:34:08	ga_ls7e_ard_3-1-0_093087_2012-02-09_final
2012-07-15 10:36:00	ga_ls7e_ard_3-1-0_104070_2012-07-15_final
2013-08-19 10:40:09	ga_ls7e_ard_3-1-0_104079_2013-08-19_final
2014-11-14 10:19:09	ga_ls7e_ard_3-1-0_100081_2014-11-14_final
2015-08-03 09:44:24	ga_ls7e_ard_3-1-0_094083_2015-08-03_final
2015-09-13 09:39:57	ga_ls7e_ard_3-1-0_093087_2015-09-13_final
2015-12-02 09:40:57	ga_ls7e_ard_3-1-0_093087_2015-12-02_final
2016-09-12 10:43:56	ga_ls7e_ard_3-1-0_104070_2016-09-12_final
2017-04-18 09:46:59	ga_ls7e_ard_3-1-0_094083_2017-04-18_final
2018-08-14 10:14:54	ga_ls7e_ard_3-1-0_099085_2018-08-14_final
2019-03-02 10:53:32	ga_ls7e_ard_3-1-0_107071_2019-03-02_final
2019-03-13 10:33:51	ga_ls7e_ard_3-1-0_104069_2019-03-13_final
2019-03-13 10:36:38	ga_ls7e_ard_3-1-0_104076_2019-03-13_final
2019-03-16 09:31:45	ga_ls7e_ard_3-1-0_093084_2019-03-16_final
2019-03-16 09:33:21	ga_ls7e_ard_3-1-0_093088_2019-03-16_final
2019-03-17 10:14:59	ga_ls7e_ard_3-1-0_100084_2019-03-17_final
2019-03-23 09:38:30	ga_ls7e_ard_3-1-0_094086_2019-03-23_final
2019-08-24 10:04:09	ga_ls7e_ard_3-1-0_100072_2019-08-24_final
2019-08-24 10:06:56	ga_ls7e_ard_3-1-0_100079_2019-08-24_final
2019-08-24 10:07:20	ga_ls7e_ard_3-1-0_100080_2019-08-24_final
2019-08-25 10:51:21	ga_ls7e_ard_3-1-0_107082_2019-08-25_final
2019-08-29 10:26:28	ga_ls7e_ard_3-1-0_103082_2019-08-29_final
2019-09-02 09:55:35	ga_ls7e_ard_3-1-0_099067_2019-09-02_final
2019-09-10 10:47:52	ga_ls7e_ard_3-1-0_107075_2019-09-10_final
2019-10-04 09:55:48	ga_ls7e_ard_3-1-0_099071_2019-10-04_final
2019-10-04 09:56:12	ga_ls7e_ard_3-1-0_099072_2019-10-04_final
2019-10-11 10:01:41	ga_ls7e_ard_3-1-0_100071_2019-10-11_final
2019-10-17 09:29:32	ga_ls7e_ard_3-1-0_094084_2019-10-16_final
2019-10-20 09:53:32	ga_ls7e_ard_3-1-0_099067_2019-10-20_final
2019-10-26 09:22:34	ga_ls7e_ard_3-1-0_093083_2019-10-25_final
2019-10-28 10:44:37	ga_ls7e_ard_3-1-0_107072_2019-10-28_final
2019-11-17 10:19:23	ga_ls7e_ard_3-1-0_103073_2019-11-17_final
2019-11-17 10:20:35	ga_ls7e_ard_3-1-0_103076_2019-11-17_final
2019-11-21 09:58:04	ga_ls7e_ard_3-1-0_099082_2019-11-21_final
2019-12-07 09:51:42	ga_ls7e_ard_3-1-0_099068_2019-12-07_final
2019-12-15 10:42:21	ga_ls7e_ard_3-1-0_107072_2019-12-15_final
2019-12-15 10:45:56	ga_ls7e_ard_3-1-0_107081_2019-12-15_final
2019-12-20 09:25:20	ga_ls7e_ard_3-1-0_094081_2019-12-19_final
2019-12-20 09:26:56	ga_ls7e_ard_3-1-0_094085_2019-12-19_final
2019-12-23 09:51:42	ga_ls7e_ard_3-1-0_099070_2019-12-23_final
2019-12-26 10:21:38	ga_ls7e_ard_3-1-0_104068_2019-12-26_final
2019-12-29 09:19:29	ga_ls7e_ard_3-1-0_093083_2019-12-28_final
2019-12-31 10:45:06	ga_ls7e_ard_3-1-0_107081_2019-12-31_final
2020-01-08 09:56:26	ga_ls7e_ard_3-1-0_099084_2020-01-08_final
2020-01-11 10:24:00	ga_ls7e_ard_3-1-0_104076_2020-01-11_final
2020-01-16 10:42:42	ga_ls7e_ard_3-1-0_107077_2020-01-16_final
2020-01-16 10:43:30	ga_ls7e_ard_3-1-0_107079_2020-01-16_final
2020-01-24 09:54:28	ga_ls7e_ard_3-1-0_099081_2020-01-24_final
2020-02-06 09:25:18	ga_ls7e_ard_3-1-0_094087_2020-02-05_final
2020-02-09 09:54:27	ga_ls7e_ard_3-1-0_099083_2020-02-09_final
2020-02-12 10:22:24	ga_ls7e_ard_3-1-0_104076_2020-02-12_final
2020-02-15 09:14:16	ga_ls7e_ard_3-1-0_093076_2020-02-14_final
2020-02-15 09:14:40	ga_ls7e_ard_3-1-0_093077_2020-02-14_final
2020-02-15 09:17:28	ga_ls7e_ard_3-1-0_093084_2020-02-14_final
2020-02-25 09:53:13	ga_ls7e_ard_3-1-0_099082_2020-02-25_final
2020-02-25 09:54:01	ga_ls7e_ard_3-1-0_099084_2020-02-25_final
2020-02-28 10:22:22	ga_ls7e_ard_3-1-0_104078_2020-02-28_final
2020-03-04 10:41:50	ga_ls7e_ard_3-1-0_107081_2020-03-04_final
2020-03-12 09:49:58	ga_ls7e_ard_3-1-0_099076_2020-03-12_final
2020-03-15 10:20:42	ga_ls7e_ard_3-1-0_104076_2020-03-15_final
2020-03-19 09:58:33	ga_ls7e_ard_3-1-0_100083_2020-03-19_final
2020-03-24 10:15:37	ga_ls7e_ard_3-1-0_103080_2020-03-24_final
2020-03-25 09:17:56	ga_ls7e_ard_3-1-0_094075_2020-03-24_final
2020-03-31 10:19:00	ga_ls7e_ard_3-1-0_104074_2020-03-31_final
2020-04-04 09:58:03	ga_ls7e_ard_3-1-0_100084_2020-04-04_final
2020-04-19 09:10:20	ga_ls7e_ard_3-1-0_093075_2020-04-18_final
2020-04-19 09:14:43	ga_ls7e_ard_3-1-0_093086_2020-04-18_final
2020-04-26 09:15:18	ga_ls7e_ard_3-1-0_094073_2020-04-25_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-20 10:20:56	ga_ls7e_ard_3-2-1_113081_2022-03-20_final
2022-03-24 09:53:03	ga_ls7e_ard_3-2-1_109074_2022-03-24_final
2022-03-26 09:40:54	ga_ls7e_ard_3-2-1_107075_2022-03-26_final
2022-03-27 08:45:35	ga_ls7e_ard_3-2-1_098076_2022-03-26_final
2022-03-28 09:25:58	ga_ls7e_ard_3-2-1_105069_2022-03-27_final
2022-03-31 08:24:29	ga_ls7e_ard_3-2-1_094086_2022-03-30_final
2022-04-02 08:08:20	ga_ls7e_ard_3-2-1_092077_2022-04-01_final
2022-04-02 09:45:37	ga_ls7e_ard_3-2-1_108073_2022-04-02_final
2022-04-03 08:51:05	ga_ls7e_ard_3-2-1_099076_2022-04-02_final
2022-04-04 07:57:22	ga_ls7e_ard_3-2-1_090081_2022-04-03_final
2022-04-04 09:36:15	ga_ls7e_ard_3-2-1_106081_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