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
1999-09-15 09:42:49	ga_ls7e_ard_3-0-0_095081_1999-09-15_final
2000-03-25 09:42:59	ga_ls7e_ard_3-0-0_095082_2000-03-25_final
2001-05-15 09:39:52	ga_ls7e_ard_3-0-0_095081_2001-05-15_final
2001-05-31 09:40:57	ga_ls7e_ard_3-0-0_095084_2001-05-31_final
2001-07-02 09:40:33	ga_ls7e_ard_3-0-0_095084_2001-07-02_final
2001-07-18 09:36:56	ga_ls7e_ard_3-0-0_095075_2001-07-18_final
2002-01-10 09:39:33	ga_ls7e_ard_3-0-0_095083_2002-01-10_final
2003-05-21 09:36:16	ga_ls7e_ard_3-0-0_095075_2003-05-21_final
2004-09-12 09:39:03	ga_ls7e_ard_3-0-0_095082_2004-09-12_final
2004-11-15 09:40:56	ga_ls7e_ard_3-0-0_095086_2004-11-15_final
2005-02-03 09:39:53	ga_ls7e_ard_3-0-0_095082_2005-02-03_final
2005-03-07 09:39:41	ga_ls7e_ard_3-0-0_095081_2005-03-07_final
2005-04-24 09:39:33	ga_ls7e_ard_3-0-0_095081_2005-04-24_final
2006-06-30 09:39:54	ga_ls7e_ard_3-0-0_095081_2006-06-30_final
2006-06-30 09:40:18	ga_ls7e_ard_3-0-0_095082_2006-06-30_final
2007-02-09 09:40:47	ga_ls7e_ard_3-0-0_095082_2007-02-09_final
2008-03-15 09:41:43	ga_ls7e_ard_3-0-0_095085_2008-03-15_final
2008-06-19 09:40:30	ga_ls7e_ard_3-0-0_095083_2008-06-19_final
2008-07-21 09:41:19	ga_ls7e_ard_3-0-0_095086_2008-07-21_final
2009-08-25 09:41:46	ga_ls7e_ard_3-0-0_095085_2009-08-25_final
2009-11-13 09:42:58	ga_ls7e_ard_3-0-0_095087_2009-11-13_final
2015-09-27 09:50:46	ga_ls7e_ard_3-0-0_095083_2015-09-27_final
2015-11-30 09:50:54	ga_ls7e_ard_3-0-0_095081_2015-11-30_final
2016-03-21 09:52:55	ga_ls7e_ard_3-0-0_095083_2016-03-21_final
2017-03-24 09:53:48	ga_ls7e_ard_3-0-0_095085_2017-03-24_final
2017-06-28 09:53:50	ga_ls7e_ard_3-0-0_095084_2017-06-28_final
2018-04-28 09:52:30	ga_ls7e_ard_3-0-0_095086_2018-04-28_final
2018-05-30 09:49:59	ga_ls7e_ard_3-0-0_095081_2018-05-30_final
2018-09-19 09:50:13	ga_ls7e_ard_3-0-0_095087_2018-09-19_final
2018-10-05 09:47:27	ga_ls7e_ard_3-0-0_095081_2018-10-05_final
2018-10-05 09:47:51	ga_ls7e_ard_3-0-0_095082_2018-10-05_final
2019-07-04 09:38:54	ga_ls7e_ard_3-0-0_095081_2019-07-04_final
2019-09-06 09:36:17	ga_ls7e_ard_3-1-0_095081_2019-09-06_final
2020-07-22 09:19:51	ga_ls7e_ard_3-1-0_095082_2020-07-21_final
2021-02-19 08:39:25	ga_ls7e_ard_3-2-0_091079_2021-02-18_final
2021-02-19 08:43:24	ga_ls7e_ard_3-2-0_091089_2021-02-18_final
2021-02-20 09:22:12	ga_ls7e_ard_3-2-0_098078_2021-02-19_final
2021-03-06 09:32:17	ga_ls7e_ard_3-2-0_100075_2021-03-06_final
2021-03-08 09:21:21	ga_ls7e_ard_3-2-0_098079_2021-03-07_final
2021-03-12 08:59:07	ga_ls7e_ard_3-2-0_094086_2021-03-11_final
2021-03-25 08:25:59	ga_ls7e_ard_3-2-0_089083_2021-03-24_final
2021-04-02 09:15:34	ga_ls7e_ard_3-2-0_097085_2021-04-01_final
2021-04-10 08:25:52	ga_ls7e_ard_3-2-0_089086_2021-04-09_final
2021-04-21 09:38:53	ga_ls7e_ard_3-2-0_102070_2021-04-21_final
2021-04-23 09:31:57	ga_ls7e_ard_3-2-0_100084_2021-04-23_final
2021-05-08 10:25:54	ga_ls7e_ard_3-2-0_109083_2021-05-08_final
2021-05-17 10:17:46	ga_ls7e_ard_3-2-0_108080_2021-05-17_final
2021-05-19 08:25:58	ga_ls7e_ard_3-2-0_090079_2021-05-18_final
2021-05-25 09:28:27	ga_ls7e_ard_3-2-0_100082_2021-05-24_final
2021-05-26 10:12:25	ga_ls7e_ard_3-2-0_107084_2021-05-26_final
2021-06-02 08:37:07	ga_ls7e_ard_3-2-0_092079_2021-06-01_final
2021-06-02 08:38:19	ga_ls7e_ard_3-2-0_092082_2021-06-01_final
2021-06-04 09:59:05	ga_ls7e_ard_3-2-0_106068_2021-06-04_final
2021-06-16 08:49:57	ga_ls7e_ard_3-2-0_094083_2021-06-15_final
2021-06-19 09:18:36	ga_ls7e_ard_3-2-0_099078_2021-06-18_final
2021-06-19 09:21:00	ga_ls7e_ard_3-2-0_099084_2021-06-18_final
2021-06-21 09:06:05	ga_ls7e_ard_3-2-0_097078_2021-06-20_final
2021-06-23 10:33:38	ga_ls7e_ard_3-2-0_111081_2021-06-23_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-06-28 09:12:05	ga_ls7e_ard_3-2-0_098079_2021-06-27_final
2021-06-29 08:17:10	ga_ls7e_ard_3-2-0_089081_2021-06-28_final
2021-07-02 08:44:38	ga_ls7e_ard_3-2-0_094073_2021-07-01_final
2021-07-14 09:09:31	ga_ls7e_ard_3-2-0_098076_2021-07-13_final
2021-07-15 09:54:42	ga_ls7e_ard_3-2-0_105081_2021-07-15_final
2021-07-18 10:25:20	ga_ls7e_ard_3-2-0_110081_2021-07-18_final
2021-07-21 09:16:18	ga_ls7e_ard_3-2-0_099079_2021-07-20_final
2021-07-23 09:00:34	ga_ls7e_ard_3-2-0_097071_2021-07-22_final
2021-07-23 10:43:51	ga_ls7e_ard_3-2-0_113082_2021-07-23_final
2021-07-27 10:17:11	ga_ls7e_ard_3-2-0_109078_2021-07-27_final
2021-08-01 10:33:41	ga_ls7e_ard_3-2-0_112074_2021-08-01_final
2021-08-07 09:59:40	ga_ls7e_ard_3-2-0_106083_2021-08-07_final
2021-08-22 09:14:41	ga_ls7e_ard_3-2-0_099082_2021-08-21_final
2021-08-26 10:22:31	ga_ls7e_ard_3-2-0_111067_2021-08-26_final
2021-08-31 09:06:32	ga_ls7e_ard_3-2-0_098079_2021-08-30_final
2021-09-01 08:10:50	ga_ls7e_ard_3-2-0_089079_2021-08-31_final
2021-09-01 09:50:30	ga_ls7e_ard_3-2-0_105081_2021-09-01_final
2021-09-17 09:49:29	ga_ls7e_ard_3-2-0_105082_2021-09-17_final
2021-09-30 09:16:14	ga_ls7e_ard_3-2-0_100079_2021-09-29_final
2021-09-30 09:17:25	ga_ls7e_ard_3-2-0_100082_2021-09-29_final
2021-10-04 08:53:33	ga_ls7e_ard_3-2-0_096085_2021-10-03_final
2021-10-15 08:34:27	ga_ls7e_ard_3-2-0_093086_2021-10-14_final
2021-10-16 09:16:25	ga_ls7e_ard_3-2-0_100083_2021-10-15_final
2021-11-08 09:18:52	ga_ls7e_ard_3-2-0_101079_2021-11-07_final
2021-11-09 09:59:38	ga_ls7e_ard_3-2-0_108073_2021-11-09_final
2021-11-10 09:01:32	ga_ls7e_ard_3-2-0_099067_2021-11-09_final
2021-11-16 08:27:27	ga_ls7e_ard_3-2-1_093076_2021-11-15_final
2021-12-01 09:20:27	ga_ls7e_ard_3-2-1_102073_2021-11-30_final
2021-12-22 09:37:47	ga_ls7e_ard_3-2-1_105075_2021-12-22_final
2022-01-06 10:31:29	ga_ls7e_ard_3-2-1_114074_2022-01-06_final
2022-01-15 10:26:52	ga_ls7e_ard_3-2-1_113080_2022-01-15_final
2022-01-20 09:04:51	ga_ls7e_ard_3-2-1_100077_2022-01-19_final
2022-01-25 09:20:07	ga_ls7e_ard_3-2-1_103070_2022-01-24_final
2022-01-28 08:16:38	ga_ls7e_ard_3-2-1_092082_2022-01-27_final
2022-01-30 09:43:21	ga_ls7e_ard_3-2-1_106083_2022-01-30_final
2022-02-03 09:13:50	ga_ls7e_ard_3-2-1_102072_2022-02-02_final
2022-02-06 08:10:44	ga_ls7e_ard_3-2-1_091085_2022-02-05_final
2022-02-24 09:30:40	ga_ls7e_ard_3-2-1_105073_2022-02-24_final
2022-03-02 10:33:30	ga_ls7e_ard_3-2-1_115077_2022-03-02_final
2022-03-17 09:45:56	ga_ls7e_ard_3-2-1_108070_2022-03-17_final
2022-03-18 10:32:17	ga_ls7e_ard_3-2-1_115078_2022-03-18_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