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
2000-02-05 08:59:54	ga_ls7e_ard_3-0-0_088082_2000-02-04_final
2001-12-25 09:38:41	ga_ls7e_ard_3-0-0_095081_2001-12-25_final
2002-11-10 09:40:16	ga_ls7e_ard_3-0-0_095087_2002-11-10_final
2003-07-24 09:35:19	ga_ls7e_ard_3-1-0_095073_2003-07-24_final
2003-12-31 09:36:06	ga_ls7e_ard_3-0-0_095074_2003-12-31_final
2004-10-14 09:40:58	ga_ls7e_ard_3-0-0_095087_2004-10-14_final
2005-01-18 09:41:00	ga_ls7e_ard_3-0-0_095085_2005-01-18_final
2005-02-19 09:39:37	ga_ls7e_ard_3-0-0_095081_2005-02-19_final
2006-01-21 09:41:31	ga_ls7e_ard_3-0-0_095085_2006-01-21_final
2009-02-14 09:39:05	ga_ls7e_ard_3-1-0_095079_2009-02-14_final
2009-03-17 08:57:18	ga_ls7e_ard_3-0-0_088082_2009-03-16_final
2010-02-01 09:42:32	ga_ls7e_ard_3-0-0_095083_2010-02-01_final
2010-03-05 09:44:03	ga_ls7e_ard_3-0-0_095086_2010-03-05_final
2011-01-19 09:43:43	ga_ls7e_ard_3-0-0_095082_2011-01-19_final
2011-07-14 09:42:19	ga_ls7e_ard_3-0-0_095078_2011-07-14_final
2012-06-14 09:40:48	ga_ls7e_ard_3-0-0_095072_2012-06-14_final
2013-01-23 09:02:55	ga_ls7e_ard_3-0-0_088081_2013-01-22_final
2013-07-19 09:42:34	ga_ls7e_ard_3-0-0_095074_2013-07-19_final
2013-07-19 09:46:33	ga_ls7e_ard_3-0-0_095084_2013-07-19_final
2014-05-19 09:49:44	ga_ls7e_ard_3-0-0_095087_2014-05-19_final
2014-06-20 09:49:48	ga_ls7e_ard_3-0-0_095087_2014-06-20_final
2014-12-29 09:44:55	ga_ls7e_ard_3-0-0_095072_2014-12-29_final
2015-01-30 09:51:03	ga_ls7e_ard_3-0-0_095087_2015-01-30_final
2015-08-26 09:51:02	ga_ls7e_ard_3-0-0_095084_2015-08-26_final
2015-11-30 09:47:42	ga_ls7e_ard_3-1-0_095073_2015-11-30_final
2015-12-16 09:53:11	ga_ls7e_ard_3-0-0_095086_2015-12-16_final
2016-08-12 09:49:25	ga_ls7e_ard_3-1-0_095073_2016-08-12_final
2016-09-29 09:53:09	ga_ls7e_ard_3-0-0_095082_2016-09-29_final
2017-06-12 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-06-12_final
2017-06-28 09:53:50	ga_ls7e_ard_3-0-0_095084_2017-06-28_final
2018-07-17 09:45:30	ga_ls7e_ard_3-0-0_095072_2018-07-17_final
2018-08-18 09:49:42	ga_ls7e_ard_3-0-0_095084_2018-08-18_final
2019-03-14 09:44:59	ga_ls7e_ard_3-1-0_095086_2019-03-14_final
2019-12-11 09:32:46	ga_ls7e_ard_3-1-0_095083_2019-12-11_final
2020-01-12 09:31:08	ga_ls7e_ard_3-1-0_095083_2020-01-12_final
2020-02-13 09:28:44	ga_ls7e_ard_3-1-0_095081_2020-02-12_final
2020-06-20 09:22:11	ga_ls7e_ard_3-1-0_095083_2020-06-19_final
2021-02-12 10:09:27	ga_ls7e_ard_3-2-0_106071_2021-02-12_final
2021-02-12 10:10:15	ga_ls7e_ard_3-2-0_106073_2021-02-12_final
2021-03-04 09:43:12	ga_ls7e_ard_3-2-0_102071_2021-03-04_final
2021-03-04 09:44:24	ga_ls7e_ard_3-2-0_102074_2021-03-04_final
2021-03-09 08:26:28	ga_ls7e_ard_3-2-0_089081_2021-03-08_final
2021-03-20 09:42:44	ga_ls7e_ard_3-2-0_102073_2021-03-20_final
2021-03-27 09:49:56	ga_ls7e_ard_3-2-0_103077_2021-03-27_final
2021-03-31 09:26:05	ga_ls7e_ard_3-2-0_099080_2021-03-30_final
2021-04-02 10:52:51	ga_ls7e_ard_3-2-0_113081_2021-04-02_final
2021-04-03 09:57:33	ga_ls7e_ard_3-2-0_104082_2021-04-03_final
2021-04-08 08:37:35	ga_ls7e_ard_3-2-0_091084_2021-04-07_final
2021-04-08 08:39:11	ga_ls7e_ard_3-2-0_091088_2021-04-07_final
2021-04-15 10:22:04	ga_ls7e_ard_3-2-0_108084_2021-04-15_final
2021-04-29 10:26:27	ga_ls7e_ard_3-2-0_110067_2021-04-29_final
2021-05-04 09:12:29	ga_ls7e_ard_3-2-0_097084_2021-05-03_final
2021-05-10 10:12:35	ga_ls7e_ard_3-2-0_107081_2021-05-10_final
2021-05-17 08:40:30	ga_ls7e_ard_3-2-0_092084_2021-05-16_final
2021-05-18 10:58:57	ga_ls7e_ard_3-2-0_115075_2021-05-18_final
2021-05-22 10:31:06	ga_ls7e_ard_3-2-0_111068_2021-05-22_final
2021-06-03 09:15:31	ga_ls7e_ard_3-2-0_099067_2021-06-02_final
2021-06-09 10:18:25	ga_ls7e_ard_3-2-0_109071_2021-06-09_final
2021-06-28 10:48:58	ga_ls7e_ard_3-2-0_114074_2021-06-28_final
2021-07-12 09:25:15	ga_ls7e_ard_3-2-0_100084_2021-07-11_final
2021-08-01 08:58:00	ga_ls7e_ard_3-2-0_096082_2021-07-31_final
2021-08-05 10:08:13	ga_ls7e_ard_3-2-0_108073_2021-08-05_final
2021-08-07 08:18:23	ga_ls7e_ard_3-2-0_090077_2021-08-06_final
2021-08-07 09:56:04	ga_ls7e_ard_3-2-0_106074_2021-08-07_final
2021-08-14 08:25:09	ga_ls7e_ard_3-2-0_091080_2021-08-13_final
2021-09-06 10:04:37	ga_ls7e_ard_3-2-0_108071_2021-09-06_final
2021-09-07 10:50:11	ga_ls7e_ard_3-2-0_115077_2021-09-07_final
2021-09-14 09:19:16	ga_ls7e_ard_3-2-0_100083_2021-09-13_final
2021-09-16 09:04:44	ga_ls7e_ard_3-2-0_098078_2021-09-15_final
2021-10-01 08:21:43	ga_ls7e_ard_3-2-0_091082_2021-09-30_final
2021-10-03 09:44:04	ga_ls7e_ard_3-2-0_105072_2021-10-03_final
2021-10-08 10:01:23	ga_ls7e_ard_3-2-0_108070_2021-10-08_final
2021-10-14 09:27:45	ga_ls7e_ard_3-2-0_102080_2021-10-13_final
2021-10-15 08:30:03	ga_ls7e_ard_3-2-0_093075_2021-10-14_final
2021-10-19 09:41:28	ga_ls7e_ard_3-2-0_105069_2021-10-19_final
2021-10-20 10:29:25	ga_ls7e_ard_3-2-0_112081_2021-10-20_final
2021-10-25 09:05:02	ga_ls7e_ard_3-2-0_099072_2021-10-24_final
2021-10-30 09:22:19	ga_ls7e_ard_3-2-0_102070_2021-10-29_final
2021-11-02 09:55:19	ga_ls7e_ard_3-2-0_107076_2021-11-02_final
2021-11-07 10:12:12	ga_ls7e_ard_3-2-0_110073_2021-11-07_final
2021-11-08 09:15:41	ga_ls7e_ard_3-2-0_101071_2021-11-07_final
2021-11-11 09:47:05	ga_ls7e_ard_3-2-0_106073_2021-11-11_final
2021-11-13 09:33:20	ga_ls7e_ard_3-2-1_104070_2021-11-13_final
2021-11-19 10:38:56	ga_ls7e_ard_3-2-1_114081_2021-11-19_final
2021-11-21 08:43:07	ga_ls7e_ard_3-2-1_096070_2021-11-20_final
2021-11-26 10:42:27	ga_ls7e_ard_3-2-1_115076_2021-11-26_final
2021-12-06 09:41:19	ga_ls7e_ard_3-2-1_105080_2021-12-06_final
2021-12-10 09:13:49	ga_ls7e_ard_3-2-1_101074_2021-12-09_final
2021-12-16 10:12:39	ga_ls7e_ard_3-2-1_111068_2021-12-16_final
2021-12-21 08:53:01	ga_ls7e_ard_3-2-1_098071_2021-12-20_final
2021-12-21 08:58:36	ga_ls7e_ard_3-2-1_098085_2021-12-20_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2022-01-02 09:20:31	ga_ls7e_ard_3-2-1_102081_2022-01-01_final
2022-01-03 10:04:53	ga_ls7e_ard_3-2-1_109084_2022-01-03_final
2022-01-06 10:31:53	ga_ls7e_ard_3-2-1_114075_2022-01-06_final
2022-02-23 08:51:30	ga_ls7e_ard_3-2-1_098083_2022-02-22_final
2022-02-28 09:08:46	ga_ls7e_ard_3-2-1_101081_2022-02-27_final
2022-03-07 09:09:28	ga_ls7e_ard_3-2-1_102069_2022-03-06_final
2022-03-08 09:57:25	ga_ls7e_ard_3-2-1_109081_2022-03-08_final
2022-03-18 08:51:01	ga_ls7e_ard_3-2-1_099072_2022-03-17_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