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
2002-03-15 09:39:16	ga_ls7e_ard_3-0-0_095082_2002-03-15_final
2002-05-02 09:41:14	ga_ls7e_ard_3-0-0_095087_2002-05-02_final
2002-06-03 09:35:25	ga_ls7e_ard_3-1-0_095073_2002-06-03_final
2003-08-25 09:35:59	ga_ls7e_ard_3-0-0_095075_2003-08-25_final
2003-12-31 09:40:06	ga_ls7e_ard_3-0-0_095084_2003-12-31_final
2004-08-27 09:36:46	ga_ls7e_ard_3-0-0_095076_2004-08-27_final
2004-10-30 09:40:26	ga_ls7e_ard_3-0-0_095085_2004-10-30_final
2005-06-11 09:36:41	ga_ls7e_ard_3-0-0_095074_2005-06-11_final
2005-10-17 09:41:08	ga_ls7e_ard_3-1-0_095086_2005-10-17_final
2006-02-22 09:37:17	ga_ls7e_ard_3-0-0_095074_2006-02-22_final
2006-04-11 09:39:38	ga_ls7e_ard_3-0-0_095080_2006-04-11_final
2006-06-14 09:40:24	ga_ls7e_ard_3-0-0_095082_2006-06-14_final
2006-08-01 09:36:53	ga_ls7e_ard_3-0-0_095074_2006-08-01_final
2006-08-01 09:40:05	ga_ls7e_ard_3-0-0_095082_2006-08-01_final
2007-02-09 09:40:47	ga_ls7e_ard_3-0-0_095082_2007-02-09_final
2007-02-25 09:38:28	ga_ls7e_ard_3-0-0_095076_2007-02-25_final
2007-02-25 09:42:04	ga_ls7e_ard_3-0-0_095085_2007-02-25_final
2007-03-13 09:38:07	ga_ls7e_ard_3-0-0_095075_2007-03-13_final
2007-07-19 09:40:35	ga_ls7e_ard_3-0-0_095082_2007-07-19_final
2007-11-24 09:40:11	ga_ls7e_ard_3-0-0_095081_2007-11-24_final
2008-01-27 09:41:08	ga_ls7e_ard_3-0-0_095083_2008-01-27_final
2009-03-02 09:37:39	ga_ls7e_ard_3-0-0_095075_2009-03-02_final
2010-05-08 09:42:09	ga_ls7e_ard_3-0-0_095081_2010-05-08_final
2010-10-31 09:40:55	ga_ls7e_ard_3-0-0_095077_2010-10-31_final
2011-03-24 09:43:09	ga_ls7e_ard_3-0-0_095080_2011-03-24_final
2011-05-11 09:43:35	ga_ls7e_ard_3-0-0_095081_2011-05-11_final
2011-08-15 09:44:12	ga_ls7e_ard_3-0-0_095083_2011-08-15_final
2012-10-04 09:47:37	ga_ls7e_ard_3-0-0_095086_2012-10-04_final
2014-07-22 09:47:58	ga_ls7e_ard_3-0-0_095082_2014-07-22_final
2016-07-27 09:50:12	ga_ls7e_ard_3-0-0_095075_2016-07-27_final
2017-10-02 09:52:59	ga_ls7e_ard_3-0-0_095082_2017-10-02_final
2018-01-06 09:54:05	ga_ls7e_ard_3-0-0_095086_2018-01-06_final
2018-09-19 09:48:14	ga_ls7e_ard_3-0-0_095082_2018-09-19_final
2018-12-08 09:43:55	ga_ls7e_ard_3-0-0_095076_2018-12-08_final
2019-01-09 09:42:11	ga_ls7e_ard_3-0-0_095074_2019-01-09_final
2019-02-10 09:44:23	ga_ls7e_ard_3-0-0_095082_2019-02-10_final
2019-07-04 09:38:54	ga_ls7e_ard_3-0-0_095081_2019-07-04_final
2019-08-05 09:37:38	ga_ls7e_ard_3-0-0_095081_2019-08-05_final
2019-10-24 09:34:37	ga_ls7e_ard_3-1-0_095082_2019-10-24_final
2021-01-30 09:06:01	ga_ls7e_ard_3-2-0_095080_2021-01-29_final
2021-02-09 09:42:46	ga_ls7e_ard_3-2-0_101081_2021-02-09_final
2021-02-12 08:35:21	ga_ls7e_ard_3-2-0_090083_2021-02-11_final
2021-02-20 09:20:36	ga_ls7e_ard_3-2-0_098074_2021-02-19_final
2021-02-24 10:37:15	ga_ls7e_ard_3-2-0_110081_2021-02-24_final
2021-02-28 08:34:32	ga_ls7e_ard_3-2-0_090084_2021-02-27_final
2021-03-23 10:14:11	ga_ls7e_ard_3-2-0_107075_2021-03-23_final
2021-04-15 10:20:52	ga_ls7e_ard_3-2-0_108081_2021-04-15_final
2021-04-25 09:15:25	ga_ls7e_ard_3-2-0_098074_2021-04-24_final
2021-05-10 08:32:54	ga_ls7e_ard_3-2-0_091079_2021-05-09_final
2021-05-11 09:13:41	ga_ls7e_ard_3-2-0_098073_2021-05-10_final
2021-05-15 08:52:37	ga_ls7e_ard_3-2-0_094083_2021-05-14_final
2021-05-19 10:05:15	ga_ls7e_ard_3-2-0_106080_2021-05-19_final
2021-05-26 08:31:57	ga_ls7e_ard_3-2-0_091080_2021-05-25_final
2021-05-26 10:11:13	ga_ls7e_ard_3-2-0_107081_2021-05-26_final
2021-05-27 09:13:31	ga_ls7e_ard_3-2-0_098076_2021-05-26_final
2021-06-02 08:38:19	ga_ls7e_ard_3-2-0_092082_2021-06-01_final
2021-06-08 09:36:50	ga_ls7e_ard_3-2-0_102075_2021-06-08_final
2021-07-14 09:07:56	ga_ls7e_ard_3-2-0_098072_2021-07-13_final
2021-07-14 10:44:49	ga_ls7e_ard_3-2-0_114067_2021-07-14_final
2021-08-02 09:38:22	ga_ls7e_ard_3-2-0_103075_2021-08-02_final
2021-08-13 09:18:51	ga_ls7e_ard_3-2-0_100075_2021-08-12_final
2021-08-16 09:47:29	ga_ls7e_ard_3-2-0_105070_2021-08-16_final
2021-08-17 10:32:39	ga_ls7e_ard_3-2-0_112075_2021-08-17_final
2021-08-28 08:35:30	ga_ls7e_ard_3-2-0_093078_2021-08-27_final
2021-09-03 09:33:35	ga_ls7e_ard_3-2-0_103070_2021-09-03_final
2021-09-08 09:55:40	ga_ls7e_ard_3-2-0_106080_2021-09-08_final
2021-09-15 08:20:45	ga_ls7e_ard_3-2-0_091076_2021-09-14_final
2021-09-16 10:39:13	ga_ls7e_ard_3-2-0_114067_2021-09-16_final
2021-09-20 08:41:39	ga_ls7e_ard_3-2-0_094083_2021-09-19_final
2021-09-22 08:27:54	ga_ls7e_ard_3-2-0_092080_2021-09-21_final
2021-10-04 10:32:02	ga_ls7e_ard_3-2-0_112084_2021-10-04_final
2021-10-05 09:31:08	ga_ls7e_ard_3-2-0_103071_2021-10-05_final
2021-10-07 09:19:24	ga_ls7e_ard_3-2-0_101073_2021-10-06_final
2021-10-10 08:15:09	ga_ls7e_ard_3-2-0_090083_2021-10-09_final
2021-10-15 08:32:03	ga_ls7e_ard_3-2-0_093080_2021-10-14_final
2021-10-18 10:39:58	ga_ls7e_ard_3-2-0_114076_2021-10-18_final
2021-10-22 08:38:00	ga_ls7e_ard_3-2-0_094081_2021-10-21_final
2021-10-23 09:18:46	ga_ls7e_ard_3-2-0_101075_2021-10-22_final
2021-10-27 08:52:05	ga_ls7e_ard_3-2-0_097071_2021-10-26_final
2021-10-27 08:55:41	ga_ls7e_ard_3-2-0_097080_2021-10-26_final
2021-10-28 09:35:39	ga_ls7e_ard_3-2-0_104072_2021-10-28_final
2021-10-30 09:25:54	ga_ls7e_ard_3-2-0_102079_2021-10-29_final
2021-10-31 08:29:00	ga_ls7e_ard_3-2-0_093076_2021-10-30_final
2021-11-03 10:39:41	ga_ls7e_ard_3-2-0_114079_2021-11-03_final
2021-11-07 10:15:23	ga_ls7e_ard_3-2-0_110081_2021-11-07_final
2021-11-13 09:36:32	ga_ls7e_ard_3-2-1_104078_2021-11-13_final
2021-11-19 09:00:03	ga_ls7e_ard_3-2-1_098081_2021-11-18_final
2021-11-20 09:42:01	ga_ls7e_ard_3-2-1_105078_2021-11-20_final
2021-11-28 08:53:01	ga_ls7e_ard_3-2-1_097081_2021-11-27_final
2021-12-27 09:58:13	ga_ls7e_ard_3-2-1_108081_2021-12-27_final
2021-12-30 08:49:32	ga_ls7e_ard_3-2-1_097080_2021-12-29_final
2021-12-30 10:28:25	ga_ls7e_ard_3-2-1_113080_2021-12-30_final
2022-01-03 08:24:48	ga_ls7e_ard_3-2-1_093081_2022-01-02_final
2022-01-29 10:36:40	ga_ls7e_ard_3-2-1_115077_2022-01-29_final
2022-02-05 09:04:04	ga_ls7e_ard_3-2-1_100079_2022-02-04_final
2022-02-09 08:39:20	ga_ls7e_ard_3-2-1_096080_2022-02-08_final
2022-02-13 09:49:53	ga_ls7e_ard_3-2-1_108072_2022-02-13_final
2022-03-02 08:57:01	ga_ls7e_ard_3-2-1_099083_2022-03-01_final
2022-03-02 10:34:41	ga_ls7e_ard_3-2-1_115080_2022-03-02_final
2022-03-13 08:36:11	ga_ls7e_ard_3-2-1_096080_2022-03-12_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