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
2000-03-18 09:37:12	ga_ls7e_ard_3-1-0_094083_2000-03-18_final
2000-10-21 09:30:15	ga_ls7e_ard_3-1-0_093087_2000-10-21_final
2002-07-24 10:10:20	ga_ls7e_ard_3-1-0_100084_2002-07-24_final
2003-08-18 09:29:50	ga_ls7e_ard_3-1-0_094075_2003-08-17_final
2003-08-28 10:09:16	ga_ls7e_ard_3-1-0_100081_2003-08-28_final
2003-09-19 09:32:50	ga_ls7e_ard_3-1-0_094083_2003-09-19_final
2003-11-22 09:30:05	ga_ls7e_ard_3-1-0_094075_2003-11-22_final
2004-11-24 09:33:39	ga_ls7e_ard_3-1-0_094083_2004-11-24_final
2006-11-20 10:31:13	ga_ls7e_ard_3-1-0_104070_2006-11-20_final
2006-12-30 11:24:28	ga_ls7e_ard_3-1-0_112079_2006-12-30_final
2007-11-17 09:34:45	ga_ls7e_ard_3-1-0_094083_2007-11-17_final
2011-06-15 10:14:29	ga_ls7e_ard_3-1-0_100081_2011-06-15_final
2011-09-23 11:27:31	ga_ls7e_ard_3-1-0_112079_2011-09-23_final
2012-02-09 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-02-09_final
2012-04-26 10:35:33	ga_ls7e_ard_3-1-0_104070_2012-04-26_final
2013-02-18 09:40:48	ga_ls7e_ard_3-1-0_094083_2013-02-18_final
2013-03-12 10:37:22	ga_ls7e_ard_3-1-0_104070_2013-03-12_final
2013-12-09 10:37:35	ga_ls7e_ard_3-1-0_104070_2013-12-09_final
2014-05-02 10:38:27	ga_ls7e_ard_3-1-0_104070_2014-05-02_final
2015-04-19 10:40:27	ga_ls7e_ard_3-1-0_104070_2015-04-19_final
2015-11-23 09:45:26	ga_ls7e_ard_3-1-0_094083_2015-11-23_final
2016-02-17 10:43:06	ga_ls7e_ard_3-1-0_104070_2016-02-17_final
2017-09-18 09:41:00	ga_ls7e_ard_3-1-0_093083_2017-09-18_final
2018-09-10 11:31:30	ga_ls7e_ard_3-1-0_112077_2018-09-10_final
2018-09-12 09:42:36	ga_ls7e_ard_3-1-0_094083_2018-09-12_final
2018-10-12 11:30:44	ga_ls7e_ard_3-1-0_112077_2018-10-12_final
2019-02-22 10:05:09	ga_ls7e_ard_3-1-0_099073_2019-02-22_final
2019-02-25 10:36:45	ga_ls7e_ard_3-1-0_104075_2019-02-25_final
2019-03-13 10:37:26	ga_ls7e_ard_3-1-0_104078_2019-03-13_final
2019-03-22 10:29:22	ga_ls7e_ard_3-1-0_103074_2019-03-22_final
2019-03-23 09:34:54	ga_ls7e_ard_3-1-0_094077_2019-03-23_final
2019-07-17 09:07:54	ga_ls7e_ard_3-1-0_090082_2019-07-16_final
2019-07-29 09:30:08	ga_ls7e_ard_3-1-0_094077_2019-07-29_final
2019-08-24 10:04:33	ga_ls7e_ard_3-1-0_100073_2019-08-24_final
2019-08-30 09:29:36	ga_ls7e_ard_3-1-0_094079_2019-08-29_final
2019-09-10 10:46:40	ga_ls7e_ard_3-1-0_107072_2019-09-10_final
2019-09-13 11:19:50	ga_ls7e_ard_3-1-0_112078_2019-09-13_final
2019-09-14 10:23:22	ga_ls7e_ard_3-1-0_103076_2019-09-14_final
2019-10-07 10:29:46	ga_ls7e_ard_3-1-0_104079_2019-10-07_final
2019-10-16 10:20:49	ga_ls7e_ard_3-1-0_103073_2019-10-16_final
2019-10-23 10:27:30	ga_ls7e_ard_3-1-0_104075_2019-10-23_final
2019-11-06 09:02:45	ga_ls7e_ard_3-1-0_090081_2019-11-05_final
2019-11-18 09:24:31	ga_ls7e_ard_3-1-0_094075_2019-11-17_final
2019-11-24 10:28:02	ga_ls7e_ard_3-1-0_104080_2019-11-24_final
2020-01-03 11:14:15	ga_ls7e_ard_3-1-0_112077_2020-01-03_final
2020-01-14 09:19:04	ga_ls7e_ard_3-1-0_093084_2020-01-13_final
2020-01-30 09:16:41	ga_ls7e_ard_3-1-0_093080_2020-01-29_final
2020-03-15 10:22:17	ga_ls7e_ard_3-1-0_104080_2020-03-15_final
2020-03-18 09:13:45	ga_ls7e_ard_3-1-0_093079_2020-03-17_final
2020-03-23 11:10:29	ga_ls7e_ard_3-1-0_112078_2020-03-23_final
2020-03-24 10:14:49	ga_ls7e_ard_3-1-0_103078_2020-03-24_final
2020-03-28 09:49:04	ga_ls7e_ard_3-1-0_099076_2020-03-28_final
2020-04-08 11:08:23	ga_ls7e_ard_3-1-0_112075_2020-04-08_final
2020-04-08 11:09:11	ga_ls7e_ard_3-1-0_112077_2020-04-08_final
2020-04-13 09:47:45	ga_ls7e_ard_3-1-0_099075_2020-04-13_final
2020-04-16 10:16:05	ga_ls7e_ard_3-1-0_104069_2020-04-16_final
2020-04-16 10:16:53	ga_ls7e_ard_3-1-0_104071_2020-04-16_final
2020-04-21 10:39:31	ga_ls7e_ard_3-1-0_107082_2020-04-21_final
2020-04-24 11:08:15	ga_ls7e_ard_3-1-0_112077_2020-04-24_final
2020-04-25 10:12:58	ga_ls7e_ard_3-1-0_103078_2020-04-25_final
2020-04-26 09:18:53	ga_ls7e_ard_3-1-0_094082_2020-04-25_final
2020-08-11 10:31:09	ga_ls7e_ard_3-1-0_107078_2020-08-11_final
2020-08-13 10:19:04	ga_ls7e_ard_3-1-0_105079_2020-08-13_final
2020-08-16 09:10:54	ga_ls7e_ard_3-1-0_094079_2020-08-15_final
2020-08-17 09:51:18	ga_ls7e_ard_3-1-0_101072_2020-08-17_final
2020-08-21 09:27:55	ga_ls7e_ard_3-1-0_097076_2020-08-20_final
2020-08-24 09:58:37	ga_ls7e_ard_3-1-0_102076_2020-08-24_final
2020-08-26 09:47:44	ga_ls7e_ard_3-1-0_100080_2020-08-26_final
2020-08-28 09:33:39	ga_ls7e_ard_3-1-0_098076_2020-08-28_final
2020-08-28 09:36:02	ga_ls7e_ard_3-1-0_098082_2020-08-28_final
2020-08-29 10:18:26	ga_ls7e_ard_3-1-0_105080_2020-08-29_final
2020-08-30 10:59:38	ga_ls7e_ard_3-1-0_112075_2020-08-30_final
2020-08-30 11:02:02	ga_ls7e_ard_3-1-0_112081_2020-08-30_final
2020-09-03 10:36:15	ga_ls7e_ard_3-1-0_108079_2020-09-03_final
2020-09-03 10:36:39	ga_ls7e_ard_3-1-0_108080_2020-09-03_final
2020-09-04 09:38:10	ga_ls7e_ard_3-1-0_099073_2020-09-04_final
2020-09-11 09:44:41	ga_ls7e_ard_3-1-0_100075_2020-09-11_final
2020-09-16 10:02:30	ga_ls7e_ard_3-1-0_103074_2020-09-16_final
2020-09-21 10:22:42	ga_ls7e_ard_3-1-0_106079_2020-09-21_final
2020-10-01 09:19:52	ga_ls7e_ard_3-1-0_096078_2020-09-30_final
2020-10-07 08:43:12	ga_ls7e_ard_3-1-0_090080_2020-10-06_final
2020-10-11 09:56:18	ga_ls7e_ard_3-1-0_102078_2020-10-11_final
2020-10-17 09:18:02	ga_ls7e_ard_3-1-0_096076_2020-10-16_final
2020-10-22 09:35:27	ga_ls7e_ard_3-1-0_099074_2020-10-22_final
2020-10-24 11:03:50	ga_ls7e_ard_3-1-0_113079_2020-10-24_final
2020-10-25 10:05:45	ga_ls7e_ard_3-1-0_104073_2020-10-25_final
2020-10-26 10:50:09	ga_ls7e_ard_3-1-0_111076_2020-10-26_final
2020-10-26 10:50:56	ga_ls7e_ard_3-1-0_111078_2020-10-26_final
2020-11-02 09:19:46	ga_ls7e_ard_3-1-0_096083_2020-11-01_final
2020-11-06 08:52:47	ga_ls7e_ard_3-1-0_092078_2020-11-05_final
2020-11-06 08:53:11	ga_ls7e_ard_3-1-0_092079_2020-11-05_final
2020-11-08 10:19:34	ga_ls7e_ard_3-1-0_106079_2020-11-08_final
2020-11-08 10:20:22	ga_ls7e_ard_3-1-0_106081_2020-11-08_final
2020-11-09 11:02:45	ga_ls7e_ard_3-1-0_113079_2020-11-09_final
2020-11-10 10:03:52	ga_ls7e_ard_3-1-0_104071_2020-11-10_final
2020-11-10 10:05:28	ga_ls7e_ard_3-1-0_104075_2020-11-10_final
2020-11-11 09:10:59	ga_ls7e_ard_3-1-0_095078_2020-11-10_final
2020-12-02 09:26:02	ga_ls7e_ard_3-1-0_098073_2020-12-01_final
2020-12-03 10:12:25	ga_ls7e_ard_3-1-0_105081_2020-12-03_final
2020-12-04 09:17:31	ga_ls7e_ard_3-1-0_096083_2020-12-03_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