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
1999-08-14 09:40:28	ga_ls7e_ard_3-0-0_095075_1999-08-14_final
2000-01-17 11:45:12	ga_ls7e_ard_3-0-0_115078_2000-01-17_final
2000-01-17 11:45:36	ga_ls7e_ard_3-0-0_115079_2000-01-17_final
2001-08-19 09:35:13	ga_ls7e_ard_3-0-0_095072_2001-08-19_final
2002-07-04 08:55:34	ga_ls7e_ard_3-0-0_088082_2002-07-03_final
2002-09-07 09:37:58	ga_ls7e_ard_3-0-0_095081_2002-09-07_final
2003-05-01 11:40:22	ga_ls7e_ard_3-0-0_115076_2003-05-01_final
2003-09-22 11:40:36	ga_ls7e_ard_3-0-0_115078_2003-09-22_final
2004-08-27 09:38:46	ga_ls7e_ard_3-0-0_095081_2004-08-27_final
2005-10-13 11:40:18	ga_ls7e_ard_3-0-0_115075_2005-10-13_final
2005-11-18 09:37:06	ga_ls7e_ard_3-0-0_095075_2005-11-18_final
2006-01-21 09:39:55	ga_ls7e_ard_3-0-0_095081_2006-01-21_final
2006-04-27 09:37:14	ga_ls7e_ard_3-0-0_095074_2006-04-27_final
2006-07-28 11:40:54	ga_ls7e_ard_3-0-0_115075_2006-07-28_final
2007-03-09 11:43:19	ga_ls7e_ard_3-0-0_115079_2007-03-09_final
2007-09-05 09:40:16	ga_ls7e_ard_3-0-0_095082_2007-09-05_final
2008-01-23 11:41:57	ga_ls7e_ard_3-0-0_115076_2008-01-23_final
2009-03-30 11:41:28	ga_ls7e_ard_3-0-0_115075_2009-03-30_final
2009-04-19 09:40:45	ga_ls7e_ard_3-0-0_095082_2009-04-19_final
2009-06-06 09:36:51	ga_ls7e_ard_3-0-0_095072_2009-06-06_final
2009-07-04 11:42:46	ga_ls7e_ard_3-0-0_115078_2009-07-04_final
2009-08-09 09:40:35	ga_ls7e_ard_3-0-0_095082_2009-08-09_final
2009-12-15 09:40:59	ga_ls7e_ard_3-0-0_095081_2009-12-15_final
2011-02-20 09:37:53	ga_ls7e_ard_3-0-0_095067_2011-02-20_final
2011-03-04 11:45:32	ga_ls7e_ard_3-1-0_115077_2011-03-04_final
2011-07-14 09:44:43	ga_ls7e_ard_3-0-0_095084_2011-07-14_final
2011-11-19 09:40:01	ga_ls7e_ard_3-0-0_095072_2011-11-19_final
2012-02-19 11:45:45	ga_ls7e_ard_3-0-0_115076_2012-02-19_final
2012-04-27 09:45:08	ga_ls7e_ard_3-0-0_095083_2012-04-27_final
2012-09-14 11:47:02	ga_ls7e_ard_3-0-0_115076_2012-09-14_final
2012-10-16 11:46:57	ga_ls7e_ard_3-0-0_115075_2012-10-16_final
2012-11-21 09:46:23	ga_ls7e_ard_3-0-0_095082_2012-11-21_final
2012-12-19 11:47:43	ga_ls7e_ard_3-0-0_115076_2012-12-19_final
2013-01-23 09:03:19	ga_ls7e_ard_3-0-0_088082_2013-01-22_final
2013-04-10 11:47:38	ga_ls7e_ard_3-0-0_115076_2013-04-10_final
2013-05-16 09:47:52	ga_ls7e_ard_3-0-0_095086_2013-05-16_final
2013-10-06 09:03:01	ga_ls7e_ard_3-0-0_088082_2013-10-05_final
2013-11-24 09:43:26	ga_ls7e_ard_3-0-0_095074_2013-11-24_final
2014-05-03 09:47:37	ga_ls7e_ard_3-0-0_095082_2014-05-03_final
2014-06-03 09:04:08	ga_ls7e_ard_3-0-0_088081_2014-06-02_final
2014-08-23 09:48:01	ga_ls7e_ard_3-0-0_095082_2014-08-23_final
2014-11-11 09:50:39	ga_ls7e_ard_3-0-0_095087_2014-11-11_final
2015-10-29 09:52:48	ga_ls7e_ard_3-0-0_095087_2015-10-29_final
2015-12-16 09:51:35	ga_ls7e_ard_3-0-0_095082_2015-12-16_final
2016-01-01 09:53:00	ga_ls7e_ard_3-0-0_095085_2016-01-01_final
2016-01-17 09:53:39	ga_ls7e_ard_3-0-0_095086_2016-01-17_final
2017-04-09 09:49:30	ga_ls7e_ard_3-0-0_095074_2017-04-09_final
2017-05-11 09:49:17	ga_ls7e_ard_3-1-0_095073_2017-05-11_final
2017-11-15 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-11-15_final
2018-05-30 09:49:35	ga_ls7e_ard_3-0-0_095080_2018-05-30_final
2018-07-13 11:50:46	ga_ls7e_ard_3-0-0_115076_2018-07-13_final
2018-12-08 09:43:07	ga_ls7e_ard_3-0-0_095074_2018-12-08_final
2019-02-10 09:40:23	ga_ls7e_ard_3-0-0_095072_2019-02-10_final
2019-08-05 09:34:26	ga_ls7e_ard_3-1-0_095073_2019-08-05_final
2020-10-22 11:15:08	ga_ls7e_ard_3-1-0_115076_2020-10-22_final
2021-02-17 08:55:07	ga_ls7e_ard_3-2-0_093087_2021-02-16_final
2021-02-26 08:47:03	ga_ls7e_ard_3-2-0_092084_2021-02-25_final
2021-02-28 08:32:33	ga_ls7e_ard_3-2-0_090079_2021-02-27_final
2021-03-15 11:05:52	ga_ls7e_ard_3-2-0_115079_2021-03-15_final
2021-03-20 09:42:20	ga_ls7e_ard_3-2-0_102072_2021-03-20_final
2021-03-25 08:24:47	ga_ls7e_ard_3-2-0_089080_2021-03-24_final
2021-03-25 08:25:59	ga_ls7e_ard_3-2-0_089083_2021-03-24_final
2021-03-30 08:42:31	ga_ls7e_ard_3-2-0_092079_2021-03-29_final
2021-03-31 11:02:35	ga_ls7e_ard_3-2-0_115074_2021-03-31_final
2021-03-31 11:04:34	ga_ls7e_ard_3-2-0_115079_2021-03-31_final
2021-04-08 10:10:53	ga_ls7e_ard_3-2-0_107070_2021-04-08_final
2021-04-18 09:09:02	ga_ls7e_ard_3-2-0_097072_2021-04-17_final
2021-04-26 08:23:43	ga_ls7e_ard_3-2-0_089084_2021-04-25_final
2021-04-27 09:06:53	ga_ls7e_ard_3-2-0_096084_2021-04-26_final
2021-04-30 09:35:08	ga_ls7e_ard_3-2-0_101078_2021-04-30_final
2021-05-06 08:59:33	ga_ls7e_ard_3-2-0_095083_2021-05-05_final
2021-05-07 09:37:57	ga_ls7e_ard_3-2-0_102071_2021-05-07_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-22 08:54:13	ga_ls7e_ard_3-2-0_095073_2021-05-21_final
2021-05-26 08:30:21	ga_ls7e_ard_3-2-0_091076_2021-05-25_final
2021-05-27 09:15:55	ga_ls7e_ard_3-2-0_098082_2021-05-26_final
2021-05-31 08:47:39	ga_ls7e_ard_3-2-0_094074_2021-05-30_final
2021-06-07 08:57:15	ga_ls7e_ard_3-2-0_095084_2021-06-06_final
2021-07-07 09:07:08	ga_ls7e_ard_3-2-0_097084_2021-07-06_final
2021-07-22 08:22:35	ga_ls7e_ard_3-2-0_090084_2021-07-21_final
2021-08-08 09:01:58	ga_ls7e_ard_3-2-0_097078_2021-08-07_final
2021-08-08 10:40:02	ga_ls7e_ard_3-2-0_113076_2021-08-08_final
2021-08-16 08:14:36	ga_ls7e_ard_3-2-0_089085_2021-08-15_final
2021-08-19 10:20:55	ga_ls7e_ard_3-2-0_110077_2021-08-19_final
2021-08-25 09:42:08	ga_ls7e_ard_3-2-0_104074_2021-08-25_final
2021-09-09 09:01:34	ga_ls7e_ard_3-2-0_097084_2021-09-08_final
2021-10-06 08:41:49	ga_ls7e_ard_3-2-0_094087_2021-10-05_final
2021-10-19 08:06:34	ga_ls7e_ard_3-2-0_089079_2021-10-18_final
2021-10-22 08:38:24	ga_ls7e_ard_3-2-0_094082_2021-10-21_final
2021-11-19 10:36:56	ga_ls7e_ard_3-2-1_114076_2021-11-19_final
2021-11-28 08:51:49	ga_ls7e_ard_3-2-1_097078_2021-11-27_final
2021-11-28 10:31:30	ga_ls7e_ard_3-2-1_113080_2021-11-28_final
2021-12-13 09:48:01	ga_ls7e_ard_3-2-1_106083_2021-12-13_final
2022-01-03 10:04:29	ga_ls7e_ard_3-2-1_109083_2022-01-03_final
2022-01-05 08:10:15	ga_ls7e_ard_3-2-1_091076_2022-01-04_final
2022-01-29 08:59:47	ga_ls7e_ard_3-2-1_099082_2022-01-28_final
2022-02-04 09:57:48	ga_ls7e_ard_3-2-1_109074_2022-02-04_final
2022-02-23 10:27:35	ga_ls7e_ard_3-2-1_114076_2022-02-23_final
2022-03-12 07:53:49	ga_ls7e_ard_3-2-1_089082_2022-03-11_final
2022-03-25 08:59:20	ga_ls7e_ard_3-2-1_100079_2022-03-24_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