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
1999-10-13 11:44:37	ga_ls7e_ard_3-0-0_115076_1999-10-13_final
1999-12-04 09:43:14	ga_ls7e_ard_3-0-0_095082_1999-12-04_final
2000-02-06 09:43:09	ga_ls7e_ard_3-0-0_095082_2000-02-06_final
2001-02-08 09:41:11	ga_ls7e_ard_3-0-0_095083_2001-02-08_final
2001-02-24 09:41:58	ga_ls7e_ard_3-0-0_095085_2001-02-24_final
2001-05-15 09:37:04	ga_ls7e_ard_3-0-0_095074_2001-05-15_final
2001-12-25 09:39:29	ga_ls7e_ard_3-0-0_095083_2001-12-25_final
2002-03-31 09:35:35	ga_ls7e_ard_3-1-0_095073_2002-03-31_final
2002-03-31 09:35:59	ga_ls7e_ard_3-0-0_095074_2002-03-31_final
2002-05-01 08:55:58	ga_ls7e_ard_3-0-0_088082_2002-04-30_final
2002-06-03 09:35:01	ga_ls7e_ard_3-0-0_095072_2002-06-03_final
2003-03-02 09:39:29	ga_ls7e_ard_3-0-0_095083_2003-03-02_final
2003-12-15 09:40:46	ga_ls7e_ard_3-0-0_095086_2003-12-15_final
2003-12-31 09:40:30	ga_ls7e_ard_3-0-0_095085_2003-12-31_final
2005-01-18 09:39:00	ga_ls7e_ard_3-0-0_095080_2005-01-18_final
2006-02-02 11:41:36	ga_ls7e_ard_3-0-0_115076_2006-02-02_final
2006-02-06 09:39:37	ga_ls7e_ard_3-0-0_095080_2006-02-06_final
2006-03-26 09:39:41	ga_ls7e_ard_3-0-0_095080_2006-03-26_final
2006-08-01 09:41:17	ga_ls7e_ard_3-0-0_095085_2006-08-01_final
2007-06-17 09:41:51	ga_ls7e_ard_3-0-0_095085_2007-06-17_final
2007-11-24 09:40:59	ga_ls7e_ard_3-0-0_095083_2007-11-24_final
2007-12-10 09:41:28	ga_ls7e_ard_3-0-0_095084_2007-12-10_final
2008-05-02 09:37:16	ga_ls7e_ard_3-0-0_095074_2008-05-02_final
2009-03-02 09:40:02	ga_ls7e_ard_3-0-0_095081_2009-03-02_final
2009-06-22 09:41:12	ga_ls7e_ard_3-0-0_095083_2009-06-22_final
2009-06-22 09:42:00	ga_ls7e_ard_3-0-0_095085_2009-06-22_final
2009-09-10 09:40:33	ga_ls7e_ard_3-0-0_095082_2009-09-10_final
2010-05-08 09:38:34	ga_ls7e_ard_3-0-0_095072_2010-05-08_final
2011-06-12 09:44:23	ga_ls7e_ard_3-0-0_095083_2011-06-12_final
2012-01-18 11:46:01	ga_ls7e_ard_3-1-0_115077_2012-01-18_final
2012-08-01 09:46:56	ga_ls7e_ard_3-0-0_095086_2012-08-01_final
2012-09-17 09:02:34	ga_ls7e_ard_3-0-0_088082_2012-09-16_final
2012-12-07 09:46:47	ga_ls7e_ard_3-0-0_095083_2012-12-07_final
2012-12-23 09:45:44	ga_ls7e_ard_3-0-0_095080_2012-12-23_final
2014-06-04 09:44:12	ga_ls7e_ard_3-1-0_095073_2014-06-04_final
2014-08-23 09:48:49	ga_ls7e_ard_3-0-0_095084_2014-08-23_final
2016-01-17 09:50:27	ga_ls7e_ard_3-0-0_095078_2016-01-17_final
2016-07-11 09:51:45	ga_ls7e_ard_3-1-0_095079_2016-07-11_final
2016-10-31 09:52:16	ga_ls7e_ard_3-0-0_095080_2016-10-31_final
2016-12-18 09:49:13	ga_ls7e_ard_3-1-0_095073_2016-12-18_final
2017-11-19 09:54:10	ga_ls7e_ard_3-0-0_095085_2017-11-19_final
2018-07-01 09:48:12	ga_ls7e_ard_3-0-0_095078_2018-07-01_final
2018-08-18 09:50:30	ga_ls7e_ard_3-0-0_095086_2018-08-18_final
2018-11-02 11:48:49	ga_ls7e_ard_3-1-0_115077_2018-11-02_final
2019-09-06 09:33:05	ga_ls7e_ard_3-1-0_095073_2019-09-06_final
2019-10-08 09:31:19	ga_ls7e_ard_3-1-0_095072_2019-10-08_final
2020-11-11 09:06:35	ga_ls7e_ard_3-1-0_095067_2020-11-10_final
2020-11-23 11:13:44	ga_ls7e_ard_3-1-0_115078_2020-11-23_final
2021-03-05 10:27:11	ga_ls7e_ard_3-2-0_109073_2021-03-05_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-03-16 10:09:46	ga_ls7e_ard_3-2-0_106078_2021-03-16_final
2021-03-17 09:16:52	ga_ls7e_ard_3-2-0_097085_2021-03-16_final
2021-03-26 10:45:15	ga_ls7e_ard_3-2-0_112076_2021-03-26_final
2021-04-02 09:09:59	ga_ls7e_ard_3-2-0_097071_2021-04-01_final
2021-04-08 08:39:35	ga_ls7e_ard_3-2-0_091089_2021-04-07_final
2021-04-13 10:32:12	ga_ls7e_ard_3-2-0_110078_2021-04-13_final
2021-04-15 10:17:40	ga_ls7e_ard_3-2-0_108073_2021-04-15_final
2021-04-25 09:17:49	ga_ls7e_ard_3-2-0_098080_2021-04-24_final
2021-05-02 09:24:12	ga_ls7e_ard_3-2-0_099082_2021-05-01_final
2021-05-06 08:58:45	ga_ls7e_ard_3-2-0_095081_2021-05-05_final
2021-05-10 10:10:59	ga_ls7e_ard_3-2-0_107077_2021-05-10_final
2021-05-22 10:35:53	ga_ls7e_ard_3-2-0_111080_2021-05-22_final
2021-05-27 10:53:12	ga_ls7e_ard_3-2-0_114078_2021-05-27_final
2021-06-07 10:32:32	ga_ls7e_ard_3-2-0_111075_2021-06-07_final
2021-06-13 08:18:30	ga_ls7e_ard_3-2-0_089081_2021-06-12_final
2021-07-15 09:49:54	ga_ls7e_ard_3-2-0_105069_2021-07-15_final
2021-07-23 10:42:39	ga_ls7e_ard_3-2-0_113079_2021-07-23_final
2021-07-26 09:32:49	ga_ls7e_ard_3-2-0_102075_2021-07-26_final
2021-08-14 08:23:33	ga_ls7e_ard_3-2-0_091076_2021-08-13_final
2021-08-16 08:14:12	ga_ls7e_ard_3-2-0_089084_2021-08-15_final
2021-08-19 08:43:14	ga_ls7e_ard_3-2-0_094080_2021-08-18_final
2021-08-20 09:23:13	ga_ls7e_ard_3-2-0_101072_2021-08-19_final
2021-08-23 09:53:04	ga_ls7e_ard_3-2-0_106070_2021-08-23_final
2021-08-31 09:08:56	ga_ls7e_ard_3-2-0_098085_2021-08-30_final
2021-09-08 08:18:47	ga_ls7e_ard_3-2-0_090085_2021-09-07_final
2021-10-02 10:40:35	ga_ls7e_ard_3-2-0_114074_2021-10-02_final
2021-10-13 10:21:28	ga_ls7e_ard_3-2-0_111075_2021-10-13_final
2021-10-17 08:22:18	ga_ls7e_ard_3-2-0_091087_2021-10-16_final
2021-10-20 08:46:57	ga_ls7e_ard_3-2-0_096072_2021-10-19_final
2021-10-26 08:14:07	ga_ls7e_ard_3-2-0_090084_2021-10-25_final
2021-10-29 10:22:49	ga_ls7e_ard_3-2-0_111082_2021-10-29_final
2021-11-07 10:13:47	ga_ls7e_ard_3-2-0_110077_2021-11-07_final
2021-11-17 09:10:13	ga_ls7e_ard_3-2-1_100075_2021-11-16_final
2021-11-28 08:49:26	ga_ls7e_ard_3-2-1_097072_2021-11-27_final
2021-12-03 09:12:17	ga_ls7e_ard_3-2-1_100084_2021-12-02_final
2021-12-11 09:59:46	ga_ls7e_ard_3-2-1_108081_2021-12-11_final
2021-12-16 08:37:46	ga_ls7e_ard_3-2-1_095078_2021-12-15_final
2022-01-06 10:33:05	ga_ls7e_ard_3-2-1_114078_2022-01-06_final
2022-01-07 09:34:59	ga_ls7e_ard_3-2-1_105072_2022-01-07_final
2022-01-22 10:30:47	ga_ls7e_ard_3-2-1_114076_2022-01-22_final
2022-01-30 09:40:57	ga_ls7e_ard_3-2-1_106077_2022-01-30_final
2022-01-31 08:46:02	ga_ls7e_ard_3-2-1_097079_2022-01-30_final
2022-02-09 08:40:32	ga_ls7e_ard_3-2-1_096083_2022-02-08_final
2022-02-22 08:05:57	ga_ls7e_ard_3-2-1_091077_2022-02-21_final
2022-03-01 08:11:03	ga_ls7e_ard_3-2-1_092076_2022-02-28_final
2022-03-06 08:27:54	ga_ls7e_ard_3-2-1_095073_2022-03-05_final
2022-03-06 10:04:47	ga_ls7e_ard_3-2-1_111068_2022-03-06_final
2022-03-11 10:27:13	ga_ls7e_ard_3-2-1_114079_2022-03-11_final
2022-03-20 08:40:52	ga_ls7e_ard_3-2-1_097078_2022-03-19_final
2022-03-29 08:36:38	ga_ls7e_ard_3-2-1_096085_2022-03-28_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