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
1999-10-07 10:45:14	ga_ls7e_ard_3-1-0_105082_1999-10-07_final
2000-08-26 10:15:39	ga_ls7e_ard_3-1-0_101075_2000-08-26_final
2000-11-14 10:15:25	ga_ls7e_ard_3-1-0_101076_2000-11-14_final
2001-01-11 09:17:44	ga_ls7e_ard_3-1-0_091086_2001-01-10_final
2001-04-20 11:26:22	ga_ls7e_ard_3-1-0_112084_2001-04-20_final
2002-12-02 09:01:10	ga_ls7e_ard_3-1-0_089081_2002-12-01_final
2003-08-22 10:44:47	ga_ls7e_ard_3-1-0_106077_2003-08-22_final
2003-10-12 11:17:22	ga_ls7e_ard_3-1-0_111082_2003-10-12_final
2003-11-29 11:17:57	ga_ls7e_ard_3-1-0_111082_2003-11-29_final
2005-05-19 09:34:13	ga_ls7e_ard_3-1-0_094083_2005-05-19_final
2005-08-24 10:13:57	ga_ls7e_ard_3-1-0_101075_2005-08-24_final
2005-10-10 09:30:03	ga_ls7e_ard_3-1-0_094074_2005-10-10_final
2005-10-29 11:41:19	ga_ls7e_ard_3-1-0_115077_2005-10-29_final
2006-02-15 11:13:57	ga_ls7e_ard_3-1-0_110084_2006-02-15_final
2006-06-28 11:30:46	ga_ls7e_ard_3-1-0_113080_2006-06-28_final
2007-01-14 10:41:37	ga_ls7e_ard_3-1-0_105080_2007-01-14_final
2008-01-26 10:31:34	ga_ls7e_ard_3-1-0_104070_2008-01-26_final
2009-12-01 11:07:19	ga_ls7e_ard_3-1-0_109081_2009-12-01_final
2009-12-04 09:58:58	ga_ls7e_ard_3-1-0_098080_2009-12-04_final
2010-12-15 10:48:36	ga_ls7e_ard_3-1-0_106075_2010-12-15_final
2011-06-18 09:06:29	ga_ls7e_ard_3-1-0_089081_2011-06-17_final
2011-07-03 10:00:04	ga_ls7e_ard_3-1-0_098076_2011-07-03_final
2013-07-29 10:19:57	ga_ls7e_ard_3-1-0_101075_2013-07-29_final
2013-09-21 09:42:30	ga_ls7e_ard_3-1-0_095073_2013-09-21_final
2014-02-23 09:30:10	ga_ls7e_ard_3-1-0_092086_2014-02-23_final
2014-05-13 10:21:59	ga_ls7e_ard_3-1-0_101075_2014-05-13_final
2015-02-21 10:50:11	ga_ls7e_ard_3-1-0_105080_2015-02-21_final
2016-09-19 09:15:38	ga_ls7e_ard_3-1-0_089081_2016-09-18_final
2017-08-15 11:31:53	ga_ls7e_ard_3-1-0_111082_2017-08-15_final
2017-10-08 10:54:01	ga_ls7e_ard_3-1-0_105080_2017-10-08_final
2018-01-06 11:31:23	ga_ls7e_ard_3-1-0_111082_2018-01-06_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2018-05-27 09:20:44	ga_ls7e_ard_3-1-0_090085_2018-05-26_final
2019-02-21 09:26:42	ga_ls7e_ard_3-1-0_092085_2019-02-20_final
2019-03-14 09:42:59	ga_ls7e_ard_3-1-0_095081_2019-03-14_final
2019-03-16 09:31:21	ga_ls7e_ard_3-1-0_093083_2019-03-16_final
2019-03-27 10:50:56	ga_ls7e_ard_3-1-0_106082_2019-03-27_final
2019-08-27 10:34:31	ga_ls7e_ard_3-1-0_105071_2019-08-27_final
2019-08-30 09:27:36	ga_ls7e_ard_3-1-0_094074_2019-08-29_final
2019-08-31 10:10:26	ga_ls7e_ard_3-1-0_101073_2019-08-31_final
2019-09-01 09:15:58	ga_ls7e_ard_3-1-0_092076_2019-08-31_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-09 10:05:03	ga_ls7e_ard_3-1-0_100076_2019-09-09_final
2019-09-22 09:37:10	ga_ls7e_ard_3-1-0_095085_2019-09-22_final
2019-10-03 10:51:51	ga_ls7e_ard_3-1-0_108072_2019-10-03_final
2019-10-06 09:46:33	ga_ls7e_ard_3-1-0_097079_2019-10-06_final
2019-10-13 09:48:03	ga_ls7e_ard_3-1-0_098068_2019-10-13_final
2019-10-17 09:22:46	ga_ls7e_ard_3-1-0_094067_2019-10-16_final
2019-10-19 09:15:54	ga_ls7e_ard_3-1-0_092081_2019-10-18_final
2019-11-11 09:23:03	ga_ls7e_ard_3-1-0_093086_2019-11-10_final
2019-11-13 09:08:12	ga_ls7e_ard_3-1-0_091080_2019-11-12_final
2019-12-04 09:20:33	ga_ls7e_ard_3-1-0_094067_2019-12-03_final
2019-12-06 10:53:22	ga_ls7e_ard_3-1-0_108083_2019-12-06_final
2019-12-14 10:03:07	ga_ls7e_ard_3-1-0_100082_2019-12-14_final
2019-12-29 10:58:22	ga_ls7e_ard_3-1-0_109083_2019-12-29_final
2019-12-31 10:45:30	ga_ls7e_ard_3-1-0_107082_2019-12-31_final
2020-01-07 09:12:50	ga_ls7e_ard_3-1-0_092083_2020-01-06_final
2020-01-21 09:23:43	ga_ls7e_ard_3-1-0_094081_2020-01-20_final
2020-01-25 09:02:23	ga_ls7e_ard_3-1-0_090090_2020-01-24_final
2020-02-02 09:46:38	ga_ls7e_ard_3-1-0_098078_2020-02-02_final
2020-02-22 10:56:58	ga_ls7e_ard_3-1-0_110071_2020-02-22_final
2020-02-24 10:44:54	ga_ls7e_ard_3-1-0_108072_2020-02-24_final
2020-02-25 09:50:49	ga_ls7e_ard_3-1-0_099076_2020-02-25_final
2020-03-04 10:39:50	ga_ls7e_ard_3-1-0_107076_2020-03-04_final
2020-03-04 10:41:26	ga_ls7e_ard_3-1-0_107080_2020-03-04_final
2020-03-11 09:10:21	ga_ls7e_ard_3-1-0_092085_2020-03-10_final
2020-03-11 10:44:26	ga_ls7e_ard_3-1-0_108073_2020-03-11_final
2020-03-13 08:57:29	ga_ls7e_ard_3-1-0_090084_2020-03-12_final
2020-03-20 10:37:22	ga_ls7e_ard_3-1-0_107072_2020-03-20_final
2020-03-27 10:46:45	ga_ls7e_ard_3-1-0_108081_2020-03-27_final
2020-04-08 09:30:42	ga_ls7e_ard_3-1-0_096078_2020-04-08_final
2020-04-19 10:48:01	ga_ls7e_ard_3-1-0_109072_2020-04-19_final
2020-04-24 09:31:22	ga_ls7e_ard_3-1-0_096082_2020-04-24_final
2020-04-29 09:47:13	ga_ls7e_ard_3-1-0_099076_2020-04-29_final
2020-09-06 09:28:04	ga_ls7e_ard_3-1-0_097079_2020-09-05_final
2021-03-17 10:54:33	ga_ls7e_ard_3-2-0_113082_2021-03-17_final
2021-03-26 10:44:51	ga_ls7e_ard_3-2-0_112075_2021-03-26_final
2021-05-02 09:24:12	ga_ls7e_ard_3-2-0_099082_2021-05-01_final
2021-08-11 09:31:00	ga_ls7e_ard_3-2-0_102074_2021-08-11_final
2021-08-12 10:17:45	ga_ls7e_ard_3-2-0_109083_2021-08-12_final
2021-08-19 10:22:55	ga_ls7e_ard_3-2-0_110082_2021-08-19_final
2021-08-31 09:04:08	ga_ls7e_ard_3-2-0_098073_2021-08-30_final
2021-09-09 08:59:34	ga_ls7e_ard_3-2-0_097079_2021-09-08_final
2021-09-14 09:17:40	ga_ls7e_ard_3-2-0_100079_2021-09-13_final
2021-09-29 10:13:08	ga_ls7e_ard_3-2-0_109082_2021-09-29_final
2021-10-17 08:19:07	ga_ls7e_ard_3-2-0_091079_2021-10-16_final
2021-11-17 09:10:37	ga_ls7e_ard_3-2-1_100076_2021-11-16_final
2021-11-19 08:59:39	ga_ls7e_ard_3-2-1_098080_2021-11-18_final
2021-12-02 10:05:12	ga_ls7e_ard_3-2-1_109077_2021-12-02_final
2021-12-11 08:19:18	ga_ls7e_ard_3-2-1_092077_2021-12-10_final
2021-12-20 09:51:56	ga_ls7e_ard_3-2-1_107079_2021-12-20_final
2021-12-30 08:49:08	ga_ls7e_ard_3-2-1_097079_2021-12-29_final
2022-01-05 09:50:43	ga_ls7e_ard_3-2-1_107080_2022-01-05_final
2022-01-23 09:33:28	ga_ls7e_ard_3-2-1_105072_2022-01-23_final
2022-01-24 10:18:13	ga_ls7e_ard_3-2-1_112076_2022-01-24_final
2022-02-18 08:33:02	ga_ls7e_ard_3-2-1_095082_2022-02-17_final
2022-03-17 08:11:27	ga_ls7e_ard_3-2-1_092081_2022-03-16_final
2022-03-31 08:19:41	ga_ls7e_ard_3-2-1_094074_2022-03-30_final
2022-03-31 10:01:22	ga_ls7e_ard_3-2-1_110081_2022-03-31_final
2022-04-03 08:51:05	ga_ls7e_ard_3-2-1_099076_2022-04-02_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