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
1999-12-06 09:32:54	ga_ls7e_ard_3-1-0_093087_1999-12-06_final
2002-08-08 09:28:12	ga_ls7e_ard_3-1-0_093087_2002-08-07_final
2002-11-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2002-11-25_final
2005-05-09 10:30:50	ga_ls7e_ard_3-1-0_104070_2005-05-09_final
2006-02-21 10:34:54	ga_ls7e_ard_3-1-0_104079_2006-02-21_final
2006-07-15 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-07-15_final
2006-07-31 10:30:55	ga_ls7e_ard_3-1-0_104070_2006-07-31_final
2007-01-26 09:29:55	ga_ls7e_ard_3-1-0_093086_2007-01-25_final
2007-02-08 10:31:37	ga_ls7e_ard_3-1-0_104070_2007-02-08_final
2007-05-03 10:11:20	ga_ls7e_ard_3-1-0_100081_2007-05-03_final
2007-05-31 10:31:29	ga_ls7e_ard_3-1-0_104070_2007-05-31_final
2007-07-02 10:31:28	ga_ls7e_ard_3-1-0_104070_2007-07-02_final
2007-09-04 10:31:07	ga_ls7e_ard_3-1-0_104070_2007-09-04_final
2007-10-06 10:30:53	ga_ls7e_ard_3-1-0_104070_2007-10-06_final
2007-11-10 09:30:06	ga_ls7e_ard_3-1-0_093087_2007-11-10_final
2008-01-23 10:06:16	ga_ls7e_ard_3-1-0_099084_2008-01-23_final
2008-03-01 09:30:14	ga_ls7e_ard_3-1-0_093087_2008-03-01_final
2008-03-14 10:31:22	ga_ls7e_ard_3-1-0_104070_2008-03-14_final
2009-01-12 10:30:55	ga_ls7e_ard_3-1-0_104070_2009-01-12_final
2009-01-28 10:30:59	ga_ls7e_ard_3-1-0_104070_2009-01-28_final
2009-01-31 09:29:48	ga_ls7e_ard_3-1-0_093087_2009-01-30_final
2009-05-04 10:35:14	ga_ls7e_ard_3-1-0_104079_2009-05-04_final
2009-08-11 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-10_final
2009-08-24 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-08-24_final
2011-06-30 09:31:57	ga_ls7e_ard_3-1-0_093083_2011-06-30_final
2011-08-17 09:29:50	ga_ls7e_ard_3-1-0_093078_2011-08-16_final
2012-03-12 09:34:07	ga_ls7e_ard_3-1-0_093087_2012-03-12_final
2012-12-25 09:36:11	ga_ls7e_ard_3-1-0_093087_2012-12-25_final
2014-03-03 10:17:39	ga_ls7e_ard_3-1-0_100081_2014-03-03_final
2014-05-18 10:42:09	ga_ls7e_ard_3-1-0_104079_2014-05-18_final
2015-07-27 09:38:11	ga_ls7e_ard_3-1-0_093083_2015-07-27_final
2017-01-05 09:42:17	ga_ls7e_ard_3-1-0_093087_2017-01-05_final
2017-01-18 10:43:20	ga_ls7e_ard_3-1-0_104070_2017-01-18_final
2017-08-01 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-08-01_final
2018-01-08 09:42:06	ga_ls7e_ard_3-1-0_093087_2018-01-08_final
2018-06-14 10:44:33	ga_ls7e_ard_3-1-0_104079_2018-06-14_final
2019-02-09 10:38:50	ga_ls7e_ard_3-1-0_104079_2019-02-09_final
2019-02-22 10:09:08	ga_ls7e_ard_3-1-0_099083_2019-02-22_final
2019-02-22 10:09:56	ga_ls7e_ard_3-1-0_099085_2019-02-22_final
2019-02-25 10:34:21	ga_ls7e_ard_3-1-0_104069_2019-02-25_final
2019-02-25 10:37:33	ga_ls7e_ard_3-1-0_104077_2019-02-25_final
2019-02-25 10:38:21	ga_ls7e_ard_3-1-0_104079_2019-02-25_final
2019-03-01 10:15:30	ga_ls7e_ard_3-1-0_100084_2019-03-01_final
2019-03-10 10:05:50	ga_ls7e_ard_3-1-0_099076_2019-03-10_final
2019-03-13 10:37:02	ga_ls7e_ard_3-1-0_104077_2019-03-13_final
2019-03-16 09:31:45	ga_ls7e_ard_3-1-0_093084_2019-03-16_final
2019-03-17 10:11:23	ga_ls7e_ard_3-1-0_100075_2019-03-17_final
2019-03-17 10:12:59	ga_ls7e_ard_3-1-0_100079_2019-03-17_final
2019-08-04 10:28:54	ga_ls7e_ard_3-1-0_104070_2019-08-04_final
2019-09-02 10:01:34	ga_ls7e_ard_3-1-0_099082_2019-09-02_final
2019-09-05 10:30:21	ga_ls7e_ard_3-1-0_104077_2019-09-05_final
2019-09-09 10:06:15	ga_ls7e_ard_3-1-0_100079_2019-09-09_final
2019-09-18 09:57:16	ga_ls7e_ard_3-1-0_099073_2019-09-18_final
2019-09-18 09:58:28	ga_ls7e_ard_3-1-0_099076_2019-09-18_final
2019-09-25 10:03:56	ga_ls7e_ard_3-1-0_100075_2019-09-25_final
2019-09-26 10:47:33	ga_ls7e_ard_3-1-0_107076_2019-09-26_final
2019-10-07 10:28:34	ga_ls7e_ard_3-1-0_104076_2019-10-07_final
2019-10-07 10:30:58	ga_ls7e_ard_3-1-0_104082_2019-10-07_final
2019-10-10 09:21:16	ga_ls7e_ard_3-1-0_093078_2019-10-09_final
2019-10-26 09:21:47	ga_ls7e_ard_3-1-0_093081_2019-10-25_final
2019-11-05 09:58:25	ga_ls7e_ard_3-1-0_099081_2019-11-05_final
2019-11-24 10:26:50	ga_ls7e_ard_3-1-0_104077_2019-11-24_final
2019-11-27 09:17:55	ga_ls7e_ard_3-1-0_093075_2019-11-26_final
2019-12-10 10:27:39	ga_ls7e_ard_3-1-0_104081_2019-12-10_final
2019-12-15 10:47:08	ga_ls7e_ard_3-1-0_107084_2019-12-15_final
2019-12-23 09:52:30	ga_ls7e_ard_3-1-0_099072_2019-12-23_final
2019-12-23 09:53:41	ga_ls7e_ard_3-1-0_099075_2019-12-23_final
2019-12-23 09:54:05	ga_ls7e_ard_3-1-0_099076_2019-12-23_final
2019-12-26 10:26:02	ga_ls7e_ard_3-1-0_104079_2019-12-26_final
2020-01-30 09:19:53	ga_ls7e_ard_3-1-0_093088_2020-01-29_final
2020-03-02 09:14:13	ga_ls7e_ard_3-1-0_093078_2020-03-01_final
2020-03-03 09:55:50	ga_ls7e_ard_3-1-0_100074_2020-03-03_final
2020-03-12 09:49:10	ga_ls7e_ard_3-1-0_099074_2020-03-12_final
2020-03-15 10:19:06	ga_ls7e_ard_3-1-0_104072_2020-03-15_final
2020-03-15 10:19:54	ga_ls7e_ard_3-1-0_104074_2020-03-15_final
2020-03-19 09:55:21	ga_ls7e_ard_3-1-0_100075_2020-03-19_final
2020-03-28 09:47:52	ga_ls7e_ard_3-1-0_099073_2020-03-28_final
2020-04-13 09:45:22	ga_ls7e_ard_3-1-0_099069_2020-04-13_final
2020-04-16 10:16:29	ga_ls7e_ard_3-1-0_104070_2020-04-16_final
2020-04-16 10:17:17	ga_ls7e_ard_3-1-0_104072_2020-04-16_final
2020-04-19 09:10:20	ga_ls7e_ard_3-1-0_093075_2020-04-18_final
2020-04-29 09:46:01	ga_ls7e_ard_3-1-0_099073_2020-04-29_final
2020-04-29 09:50:24	ga_ls7e_ard_3-1-0_099084_2020-04-29_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-17 09:46:44	ga_ls7e_ard_3-2-1_108072_2022-03-17_final
2022-03-19 09:36:34	ga_ls7e_ard_3-2-1_106078_2022-03-19_final
2022-03-20 08:40:28	ga_ls7e_ard_3-2-1_097077_2022-03-19_final
2022-03-22 10:08:00	ga_ls7e_ard_3-2-1_111080_2022-03-22_final
2022-03-24 08:14:58	ga_ls7e_ard_3-2-1_093076_2022-03-23_final
2022-03-25 08:56:09	ga_ls7e_ard_3-2-1_100071_2022-03-24_final
2022-03-25 08:57:44	ga_ls7e_ard_3-2-1_100075_2022-03-24_final
2022-03-26 09:38:55	ga_ls7e_ard_3-2-1_107070_2022-03-26_final
2022-03-30 09:15:00	ga_ls7e_ard_3-2-1_103073_2022-03-29_final
2022-03-31 08:23:17	ga_ls7e_ard_3-2-1_094083_2022-03-30_final
2022-04-01 09:02:03	ga_ls7e_ard_3-2-1_101072_2022-03-31_final
2022-04-02 09:45:37	ga_ls7e_ard_3-2-1_108073_2022-04-02_final
2022-04-04 07:58:58	ga_ls7e_ard_3-2-1_090085_2022-04-03_final
2022-04-04 09:34:15	ga_ls7e_ard_3-2-1_106076_2022-04-04_final
2022-04-04 09:36:15	ga_ls7e_ard_3-2-1_106081_2022-04-04_final
2022-04-05 10:18:12	ga_ls7e_ard_3-2-1_113078_2022-04-05_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