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
1999-11-02 09:39:41	ga_ls7e_ard_3-1-0_095073_1999-11-02_final
2001-01-26 11:49:06	ga_ls7e_ard_3-0-0_116078_2001-01-26_final
2004-05-23 09:35:35	ga_ls7e_ard_3-0-0_095072_2004-05-23_final
2004-12-17 09:36:01	ga_ls7e_ard_3-1-0_095073_2004-12-17_final
2005-06-11 09:35:53	ga_ls7e_ard_3-0-0_095072_2005-06-11_final
2005-08-30 09:39:37	ga_ls7e_ard_3-0-0_095082_2005-08-30_final
2006-01-21 09:36:20	ga_ls7e_ard_3-0-0_095072_2006-01-21_final
2006-03-26 09:36:53	ga_ls7e_ard_3-1-0_095073_2006-03-26_final
2006-08-01 09:41:17	ga_ls7e_ard_3-0-0_095085_2006-08-01_final
2007-02-09 09:37:12	ga_ls7e_ard_3-1-0_095073_2007-02-09_final
2008-02-12 09:39:53	ga_ls7e_ard_3-0-0_095080_2008-02-12_final
2008-02-27 08:57:21	ga_ls7e_ard_3-0-0_088082_2008-02-26_final
2009-10-28 09:39:09	ga_ls7e_ard_3-0-0_095078_2009-10-28_final
2010-06-09 09:44:08	ga_ls7e_ard_3-0-0_095086_2010-06-09_final
2011-02-20 09:44:40	ga_ls7e_ard_3-0-0_095084_2011-02-20_final
2012-02-07 09:40:54	ga_ls7e_ard_3-1-0_095073_2012-02-07_final
2012-05-29 09:46:05	ga_ls7e_ard_3-0-0_095085_2012-05-29_final
2012-06-14 09:40:48	ga_ls7e_ard_3-0-0_095072_2012-06-14_final
2012-12-06 09:02:43	ga_ls7e_ard_3-0-0_088081_2012-12-05_final
2013-01-08 09:42:34	ga_ls7e_ard_3-0-0_095072_2013-01-08_final
2013-08-04 09:47:15	ga_ls7e_ard_3-0-0_095086_2013-08-04_final
2013-11-07 09:03:16	ga_ls7e_ard_3-0-0_088082_2013-11-06_final
2014-11-23 11:51:05	ga_ls7e_ard_3-0-0_115079_2014-11-23_final
2015-04-20 09:45:38	ga_ls7e_ard_3-0-0_095072_2015-04-20_final
2015-06-07 09:51:34	ga_ls7e_ard_3-0-0_095086_2015-06-07_final
2016-11-12 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-11-12_final
2016-12-18 09:48:49	ga_ls7e_ard_3-0-0_095072_2016-12-18_final
2017-12-01 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-12-01_final
2019-03-30 09:38:51	ga_ls7e_ard_3-0-0_095072_2019-03-30_final
2019-07-20 09:34:41	ga_ls7e_ard_3-0-0_095072_2019-07-20_final
2019-08-05 09:39:38	ga_ls7e_ard_3-0-0_095086_2019-08-05_final
2019-10-24 09:31:02	ga_ls7e_ard_3-1-0_095073_2019-10-24_final
2021-02-17 10:28:48	ga_ls7e_ard_3-2-0_109074_2021-02-17_final
2021-02-20 09:22:12	ga_ls7e_ard_3-2-0_098078_2021-02-19_final
2021-02-20 10:59:29	ga_ls7e_ard_3-2-0_114074_2021-02-20_final
2021-02-22 09:06:30	ga_ls7e_ard_3-2-0_096070_2021-02-21_final
2021-03-06 09:35:52	ga_ls7e_ard_3-2-0_100084_2021-03-06_final
2021-03-07 08:41:46	ga_ls7e_ard_3-2-0_091088_2021-03-06_final
2021-03-17 09:10:52	ga_ls7e_ard_3-2-0_097070_2021-03-16_final
2021-03-18 09:58:51	ga_ls7e_ard_3-2-0_104082_2021-03-18_final
2021-03-19 08:59:33	ga_ls7e_ard_3-2-0_095073_2021-03-18_final
2021-03-28 08:57:50	ga_ls7e_ard_3-2-0_094086_2021-03-27_final
2021-05-04 10:50:58	ga_ls7e_ard_3-2-0_113083_2021-05-04_final
2021-05-10 08:34:54	ga_ls7e_ard_3-2-0_091084_2021-05-09_final
2021-05-11 09:18:29	ga_ls7e_ard_3-2-0_098085_2021-05-10_final
2021-05-15 10:26:19	ga_ls7e_ard_3-2-0_110070_2021-05-15_final
2021-05-25 09:28:51	ga_ls7e_ard_3-2-0_100083_2021-05-24_final
2021-05-27 09:10:20	ga_ls7e_ard_3-2-0_098068_2021-05-26_final
2021-05-28 08:21:48	ga_ls7e_ard_3-2-0_089086_2021-05-27_final
2021-06-04 08:27:24	ga_ls7e_ard_3-2-0_090086_2021-06-03_final
2021-06-10 09:27:07	ga_ls7e_ard_3-2-0_100082_2021-06-09_final
2021-06-16 08:46:45	ga_ls7e_ard_3-2-0_094075_2021-06-15_final
2021-06-23 10:30:50	ga_ls7e_ard_3-2-0_111074_2021-06-23_final
2021-06-23 10:34:50	ga_ls7e_ard_3-2-0_111084_2021-06-23_final
2021-06-29 08:16:22	ga_ls7e_ard_3-2-0_089079_2021-06-28_final
2021-07-02 10:27:06	ga_ls7e_ard_3-2-0_110082_2021-07-02_final
2021-07-05 09:13:17	ga_ls7e_ard_3-2-0_099068_2021-07-04_final
2021-07-05 09:14:29	ga_ls7e_ard_3-2-0_099071_2021-07-04_final
2021-07-10 09:33:23	ga_ls7e_ard_3-2-0_102073_2021-07-10_final
2021-07-15 08:14:13	ga_ls7e_ard_3-2-0_089077_2021-07-14_final
2021-07-20 10:08:01	ga_ls7e_ard_3-2-0_108069_2021-07-20_final
2021-07-27 08:41:06	ga_ls7e_ard_3-2-0_093085_2021-07-26_final
2021-07-31 09:50:31	ga_ls7e_ard_3-2-0_105074_2021-07-31_final
2021-08-22 09:10:18	ga_ls7e_ard_3-2-0_099071_2021-08-21_final
2021-09-01 09:47:42	ga_ls7e_ard_3-2-0_105074_2021-09-01_final
2021-09-01 09:48:30	ga_ls7e_ard_3-2-0_105076_2021-09-01_final
2021-09-07 09:12:30	ga_ls7e_ard_3-2-0_099080_2021-09-06_final
2021-09-08 09:50:53	ga_ls7e_ard_3-2-0_106068_2021-09-08_final
2021-09-15 09:59:14	ga_ls7e_ard_3-2-0_107075_2021-09-15_final
2021-09-22 08:30:18	ga_ls7e_ard_3-2-0_092086_2021-09-21_final
2021-09-22 10:04:23	ga_ls7e_ard_3-2-0_108074_2021-09-22_final
2021-10-20 08:51:44	ga_ls7e_ard_3-2-0_096084_2021-10-19_final
2021-11-02 08:19:38	ga_ls7e_ard_3-2-0_091084_2021-11-01_final
2021-11-02 09:52:56	ga_ls7e_ard_3-2-0_107070_2021-11-02_final
2021-11-04 09:39:35	ga_ls7e_ard_3-2-0_105068_2021-11-04_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-11-23 08:31:45	ga_ls7e_ard_3-2-1_094073_2021-11-22_final
2021-11-27 08:13:27	ga_ls7e_ard_3-2-1_090090_2021-11-26_final
2021-12-04 08:17:47	ga_ls7e_ard_3-2-1_091087_2021-12-03_final
2021-12-18 08:27:36	ga_ls7e_ard_3-2-1_093084_2021-12-17_final
2021-12-22 09:37:47	ga_ls7e_ard_3-2-1_105075_2021-12-22_final
2021-12-25 10:09:11	ga_ls7e_ard_3-2-1_110077_2021-12-25_final
2021-12-26 09:15:27	ga_ls7e_ard_3-2-1_101082_2021-12-25_final
2022-01-04 09:09:09	ga_ls7e_ard_3-2-1_100084_2022-01-03_final
2022-01-05 09:47:08	ga_ls7e_ard_3-2-1_107071_2022-01-05_final
2022-01-06 08:51:01	ga_ls7e_ard_3-2-1_098070_2022-01-05_final
2022-01-15 10:28:04	ga_ls7e_ard_3-2-1_113083_2022-01-15_final
2022-01-21 09:45:37	ga_ls7e_ard_3-2-1_107071_2022-01-21_final
2022-01-23 07:56:59	ga_ls7e_ard_3-2-1_089078_2022-01-22_final
2022-01-29 08:58:35	ga_ls7e_ard_3-2-1_099079_2022-01-28_final
2022-02-02 08:31:05	ga_ls7e_ard_3-2-1_095073_2022-02-01_final
2022-02-08 09:35:27	ga_ls7e_ard_3-2-1_105081_2022-02-08_final
2022-02-12 09:08:43	ga_ls7e_ard_3-2-1_101077_2022-02-11_final
2022-02-20 09:56:58	ga_ls7e_ard_3-2-1_109076_2022-02-20_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-11 08:50:20	ga_ls7e_ard_3-2-1_098084_2022-03-10_final
2022-03-19 08:00:53	ga_ls7e_ard_3-2-1_090086_2022-03-18_final
2022-03-23 09:13:05	ga_ls7e_ard_3-2-1_102082_2022-03-22_final
2022-03-24 09:51:51	ga_ls7e_ard_3-2-1_109071_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