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
1999-07-18 10:00:56	ga_ls7e_ard_3-1-0_098080_1999-07-18_final
2001-03-01 09:56:52	ga_ls7e_ard_3-1-0_098076_2001-03-01_final
2001-03-14 11:06:49	ga_ls7e_ard_3-1-0_109081_2001-03-14_final
2001-07-20 11:05:50	ga_ls7e_ard_3-1-0_109081_2001-07-20_final
2002-01-17 11:25:03	ga_ls7e_ard_3-1-0_112084_2002-01-17_final
2002-10-03 10:12:24	ga_ls7e_ard_3-1-0_101075_2002-10-03_final
2003-01-31 09:26:58	ga_ls7e_ard_3-1-0_093083_2003-01-30_final
2003-03-02 11:17:59	ga_ls7e_ard_3-1-0_111082_2003-03-02_final
2003-10-05 09:26:23	ga_ls7e_ard_3-1-0_094067_2003-10-04_final
2004-07-12 11:05:30	ga_ls7e_ard_3-1-0_109081_2004-07-12_final
2004-09-05 09:33:19	ga_ls7e_ard_3-1-0_094083_2004-09-05_final
2004-12-31 09:49:42	ga_ls7e_ard_3-1-0_097076_2004-12-31_final
2005-04-02 10:14:20	ga_ls7e_ard_3-1-0_101075_2005-04-02_final
2005-10-11 10:13:44	ga_ls7e_ard_3-1-0_101075_2005-10-11_final
2007-04-14 09:37:19	ga_ls7e_ard_3-1-0_095073_2007-04-14_final
2007-05-27 11:01:01	ga_ls7e_ard_3-1-0_108082_2007-05-27_final
2009-05-18 10:46:49	ga_ls7e_ard_3-1-0_106077_2009-05-18_final
2009-08-24 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-08-24_final
2010-02-11 10:16:33	ga_ls7e_ard_3-1-0_101075_2010-02-11_final
2010-06-27 09:29:49	ga_ls7e_ard_3-1-0_093081_2010-06-26_final
2010-08-28 11:21:33	ga_ls7e_ard_3-1-0_111082_2010-08-28_final
2010-10-01 09:28:39	ga_ls7e_ard_3-1-0_093078_2010-09-30_final
2011-11-19 11:22:54	ga_ls7e_ard_3-1-0_111082_2011-11-19_final
2012-02-09 11:10:37	ga_ls7e_ard_3-1-0_109081_2012-02-09_final
2012-05-12 10:35:55	ga_ls7e_ard_3-1-0_104070_2012-05-12_final
2012-10-16 11:47:45	ga_ls7e_ard_3-1-0_115077_2012-10-16_final
2013-01-30 10:47:36	ga_ls7e_ard_3-1-0_105080_2013-01-30_final
2013-12-03 09:40:56	ga_ls7e_ard_3-1-0_094083_2013-12-03_final
2013-12-25 10:37:37	ga_ls7e_ard_3-1-0_104070_2013-12-25_final
2014-08-17 10:22:20	ga_ls7e_ard_3-1-0_101075_2014-08-17_final
2014-10-09 10:39:10	ga_ls7e_ard_3-1-0_104070_2014-10-09_final
2015-10-27 10:00:45	ga_ls7e_ard_3-1-0_097076_2015-10-27_final
2015-11-30 11:30:11	ga_ls7e_ard_3-1-0_111082_2015-11-30_final
2016-02-08 10:53:15	ga_ls7e_ard_3-1-0_105080_2016-02-08_final
2016-02-11 09:46:29	ga_ls7e_ard_3-1-0_094083_2016-02-11_final
2016-02-16 10:02:14	ga_ls7e_ard_3-1-0_097076_2016-02-16_final
2016-02-21 10:22:46	ga_ls7e_ard_3-1-0_100081_2016-02-21_final
2016-05-23 10:43:40	ga_ls7e_ard_3-1-0_104070_2016-05-23_final
2016-09-23 10:27:25	ga_ls7e_ard_3-1-0_101075_2016-09-23_final
2016-10-20 10:09:16	ga_ls7e_ard_3-1-0_098076_2016-10-20_final
2017-02-18 10:02:20	ga_ls7e_ard_3-1-0_097076_2017-02-18_final
2018-07-16 10:40:20	ga_ls7e_ard_3-1-0_104070_2018-07-16_final
2019-02-28 11:10:21	ga_ls7e_ard_3-1-0_109082_2019-02-28_final
2019-03-01 10:14:42	ga_ls7e_ard_3-1-0_100082_2019-03-01_final
2019-03-12 11:32:42	ga_ls7e_ard_3-1-0_113077_2019-03-12_final
2019-08-25 10:49:45	ga_ls7e_ard_3-1-0_107078_2019-08-25_final
2019-08-28 11:19:44	ga_ls7e_ard_3-1-0_112076_2019-08-28_final
2019-09-08 09:21:02	ga_ls7e_ard_3-1-0_093074_2019-09-07_final
2019-09-08 11:02:19	ga_ls7e_ard_3-1-0_109080_2019-09-08_final
2019-09-09 10:04:15	ga_ls7e_ard_3-1-0_100074_2019-09-09_final
2019-09-09 10:04:39	ga_ls7e_ard_3-1-0_100075_2019-09-09_final
2019-10-11 10:02:53	ga_ls7e_ard_3-1-0_100074_2019-10-11_final
2019-10-22 11:23:57	ga_ls7e_ard_3-1-0_113077_2019-10-22_final
2019-11-05 09:55:13	ga_ls7e_ard_3-1-0_099073_2019-11-05_final
2019-11-07 11:22:51	ga_ls7e_ard_3-1-0_113076_2019-11-07_final
2019-11-12 10:01:05	ga_ls7e_ard_3-1-0_100073_2019-11-12_final
2019-11-17 10:20:35	ga_ls7e_ard_3-1-0_103076_2019-11-17_final
2019-11-26 10:13:35	ga_ls7e_ard_3-1-0_102075_2019-11-26_final
2019-12-18 09:37:24	ga_ls7e_ard_3-1-0_096080_2019-12-18_final
2020-01-01 09:49:50	ga_ls7e_ard_3-1-0_098082_2020-01-01_final
2020-01-08 09:55:15	ga_ls7e_ard_3-1-0_099081_2020-01-08_final
2020-01-19 09:34:58	ga_ls7e_ard_3-1-0_096078_2020-01-19_final
2020-02-19 08:50:56	ga_ls7e_ard_3-1-0_089080_2020-02-18_final
2020-02-22 09:23:40	ga_ls7e_ard_3-1-0_094085_2020-02-21_final
2020-03-04 09:06:32	ga_ls7e_ard_3-1-0_091090_2020-03-03_final
2020-03-05 11:23:02	ga_ls7e_ard_3-1-0_114076_2020-03-05_final
2020-03-08 10:14:54	ga_ls7e_ard_3-1-0_103076_2020-03-08_final
2020-04-06 09:41:11	ga_ls7e_ard_3-1-0_098073_2020-04-06_final
2021-01-21 09:10:28	ga_ls7e_ard_3-2-0_096074_2021-01-20_final
2021-03-13 09:36:43	ga_ls7e_ard_3-2-0_101072_2021-03-13_final
2021-03-19 10:39:38	ga_ls7e_ard_3-2-0_111076_2021-03-19_final
2021-04-27 09:06:05	ga_ls7e_ard_3-2-0_096082_2021-04-26_final
2021-06-02 10:12:48	ga_ls7e_ard_3-2-0_108071_2021-06-02_final
2021-06-14 08:59:40	ga_ls7e_ard_3-2-0_096076_2021-06-13_final
2021-06-17 09:29:08	ga_ls7e_ard_3-2-0_101073_2021-06-16_final
2021-06-17 09:31:08	ga_ls7e_ard_3-2-0_101078_2021-06-17_final
2021-06-22 09:46:04	ga_ls7e_ard_3-2-0_104070_2021-06-22_final
2021-06-23 10:31:14	ga_ls7e_ard_3-2-0_111075_2021-06-23_final
2021-07-09 10:30:41	ga_ls7e_ard_3-2-0_111077_2021-07-09_final
2021-07-12 09:20:52	ga_ls7e_ard_3-2-0_100073_2021-07-11_final
2021-07-14 09:11:55	ga_ls7e_ard_3-2-0_098082_2021-07-13_final
2021-08-05 10:07:49	ga_ls7e_ard_3-2-0_108072_2021-08-05_final
2021-08-07 09:58:04	ga_ls7e_ard_3-2-0_106079_2021-08-07_final
2021-08-14 08:25:33	ga_ls7e_ard_3-2-0_091081_2021-08-13_final
2021-08-14 10:00:50	ga_ls7e_ard_3-2-0_107072_2021-08-14_final
2021-08-21 10:07:59	ga_ls7e_ard_3-2-0_108076_2021-08-21_final
2021-08-28 10:15:58	ga_ls7e_ard_3-2-0_109082_2021-08-28_final
2021-08-29 09:17:52	ga_ls7e_ard_3-2-0_100076_2021-08-28_final
2021-08-30 09:59:51	ga_ls7e_ard_3-2-0_107073_2021-08-30_final
2021-09-02 08:56:24	ga_ls7e_ard_3-2-0_096085_2021-09-01_final
2021-09-26 09:37:43	ga_ls7e_ard_3-2-0_104070_2021-09-26_final
2021-09-28 09:28:22	ga_ls7e_ard_3-2-0_102078_2021-09-27_final
2021-10-17 09:55:12	ga_ls7e_ard_3-2-0_107072_2021-10-17_final
2021-10-18 09:02:17	ga_ls7e_ard_3-2-0_098079_2021-10-17_final
2021-10-19 08:08:10	ga_ls7e_ard_3-2-0_089083_2021-10-18_final
2021-10-20 10:28:13	ga_ls7e_ard_3-2-0_112078_2021-10-20_final
2021-11-07 10:14:59	ga_ls7e_ard_3-2-0_110080_2021-11-07_final
2021-12-11 08:20:30	ga_ls7e_ard_3-2-1_092080_2021-12-10_final
2022-03-15 08:22:01	ga_ls7e_ard_3-2-1_094076_2022-03-14_final
2022-03-15 10:01:18	ga_ls7e_ard_3-2-1_110077_2022-03-15_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