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
2000-10-03 09:42:01	ga_ls7e_ard_3-0-0_095085_2000-10-03_final
2000-11-20 09:41:55	ga_ls7e_ard_3-0-0_095085_2000-11-20_final
2001-05-15 09:41:28	ga_ls7e_ard_3-0-0_095085_2001-05-15_final
2002-11-10 09:40:16	ga_ls7e_ard_3-0-0_095087_2002-11-10_final
2003-03-02 09:40:17	ga_ls7e_ard_3-0-0_095085_2003-03-02_final
2005-11-02 09:41:45	ga_ls7e_ard_3-0-0_095087_2005-11-02_final
2005-12-20 09:41:37	ga_ls7e_ard_3-0-0_095086_2005-12-20_final
2008-03-15 09:41:43	ga_ls7e_ard_3-0-0_095085_2008-03-15_final
2008-07-05 09:41:07	ga_ls7e_ard_3-0-0_095085_2008-07-05_final
2009-01-29 09:41:45	ga_ls7e_ard_3-0-0_095086_2009-01-29_final
2009-08-09 09:42:10	ga_ls7e_ard_3-0-0_095086_2009-08-09_final
2011-02-20 09:45:04	ga_ls7e_ard_3-0-0_095085_2011-02-20_final
2011-09-16 09:45:40	ga_ls7e_ard_3-0-0_095087_2011-09-16_final
2014-02-28 09:48:42	ga_ls7e_ard_3-0-0_095086_2014-02-28_final
2014-04-01 09:48:58	ga_ls7e_ard_3-0-0_095086_2014-04-01_final
2014-06-04 09:48:59	ga_ls7e_ard_3-0-0_095085_2014-06-04_final
2015-09-11 09:51:30	ga_ls7e_ard_3-0-0_095085_2015-09-11_final
2015-12-16 09:53:11	ga_ls7e_ard_3-0-0_095086_2015-12-16_final
2016-08-28 09:54:16	ga_ls7e_ard_3-0-0_095085_2016-08-28_final
2016-12-02 09:54:30	ga_ls7e_ard_3-0-0_095086_2016-12-02_final
2017-01-03 09:53:52	ga_ls7e_ard_3-0-0_095085_2017-01-03_final
2018-04-28 09:51:42	ga_ls7e_ard_3-0-0_095084_2018-04-28_final
2018-05-14 09:51:26	ga_ls7e_ard_3-0-0_095084_2018-05-14_final
2018-08-18 09:49:42	ga_ls7e_ard_3-0-0_095084_2018-08-18_final
2019-02-10 09:45:11	ga_ls7e_ard_3-0-0_095084_2019-02-10_final
2019-10-24 09:36:13	ga_ls7e_ard_3-1-0_095086_2019-10-24_final
2020-04-17 09:26:48	ga_ls7e_ard_3-1-0_095085_2020-04-16_final
2020-10-10 09:15:30	ga_ls7e_ard_3-1-0_095084_2020-10-09_final
2021-01-21 09:10:28	ga_ls7e_ard_3-2-0_096074_2021-01-20_final
2021-02-15 10:44:55	ga_ls7e_ard_3-2-0_111083_2021-02-15_final
2021-02-20 09:17:48	ga_ls7e_ard_3-2-0_098067_2021-02-19_final
2021-02-25 09:37:58	ga_ls7e_ard_3-2-0_101072_2021-02-25_final
2021-02-28 08:36:56	ga_ls7e_ard_3-2-0_090090_2021-02-27_final
2021-02-28 10:09:02	ga_ls7e_ard_3-2-0_106073_2021-02-28_final
2021-03-07 10:15:04	ga_ls7e_ard_3-2-0_107074_2021-03-07_final
2021-03-08 09:21:21	ga_ls7e_ard_3-2-0_098079_2021-03-07_final
2021-03-08 10:59:50	ga_ls7e_ard_3-2-0_114078_2021-03-08_final
2021-03-09 10:00:57	ga_ls7e_ard_3-2-0_105070_2021-03-09_final
2021-03-10 09:05:39	ga_ls7e_ard_3-2-0_096071_2021-03-09_final
2021-03-10 09:08:50	ga_ls7e_ard_3-2-0_096079_2021-03-09_final
2021-03-21 10:27:30	ga_ls7e_ard_3-2-0_109077_2021-03-21_final
2021-04-02 09:12:46	ga_ls7e_ard_3-2-0_097078_2021-04-01_final
2021-04-02 10:53:39	ga_ls7e_ard_3-2-0_113083_2021-04-02_final
2021-04-04 09:01:03	ga_ls7e_ard_3-2-0_095080_2021-04-03_final
2021-04-06 08:46:31	ga_ls7e_ard_3-2-0_093075_2021-04-05_final
2021-04-09 09:15:59	ga_ls7e_ard_3-2-0_098072_2021-04-08_final
2021-04-09 09:19:10	ga_ls7e_ard_3-2-0_098080_2021-04-08_final
2021-04-15 08:39:59	ga_ls7e_ard_3-2-0_092076_2021-04-14_final
2021-04-15 10:18:52	ga_ls7e_ard_3-2-0_108076_2021-04-15_final
2021-04-16 11:02:27	ga_ls7e_ard_3-2-0_115077_2021-04-16_final
2021-04-24 08:35:03	ga_ls7e_ard_3-2-0_091081_2021-04-23_final
2021-04-26 09:58:12	ga_ls7e_ard_3-2-0_105073_2021-04-26_final
2021-04-27 10:45:46	ga_ls7e_ard_3-2-0_112084_2021-04-27_final
2021-05-09 09:28:37	ga_ls7e_ard_3-2-0_100079_2021-05-08_final
2021-05-17 08:38:54	ga_ls7e_ard_3-2-0_092080_2021-05-16_final
2021-05-17 10:19:22	ga_ls7e_ard_3-2-0_108084_2021-05-17_final
2021-05-21 09:47:56	ga_ls7e_ard_3-2-0_104068_2021-05-21_final
2021-05-22 10:31:06	ga_ls7e_ard_3-2-0_111068_2021-05-22_final
2021-05-25 09:24:27	ga_ls7e_ard_3-2-0_100072_2021-05-24_final
2021-05-28 08:19:25	ga_ls7e_ard_3-2-0_089080_2021-05-27_final
2021-06-04 09:59:53	ga_ls7e_ard_3-2-0_106070_2021-06-04_final
2021-06-16 10:28:01	ga_ls7e_ard_3-2-0_110081_2021-06-16_final
2021-06-17 09:30:20	ga_ls7e_ard_3-2-0_101076_2021-06-17_final
2021-06-18 08:35:02	ga_ls7e_ard_3-2-0_092077_2021-06-17_final
2021-06-21 10:46:33	ga_ls7e_ard_3-2-0_113082_2021-06-21_final
2021-06-29 09:55:15	ga_ls7e_ard_3-2-0_105079_2021-06-29_final
2021-07-06 09:56:51	ga_ls7e_ard_3-2-0_106069_2021-07-06_final
2021-07-08 09:45:55	ga_ls7e_ard_3-2-0_104073_2021-07-08_final
2021-07-13 10:05:14	ga_ls7e_ard_3-2-0_107076_2021-07-13_final
2021-07-27 10:18:46	ga_ls7e_ard_3-2-0_109082_2021-07-27_final
2021-07-31 08:13:14	ga_ls7e_ard_3-2-0_089078_2021-07-30_final
2022-01-14 09:41:18	ga_ls7e_ard_3-2-1_106074_2022-01-14_final
2022-01-15 08:48:47	ga_ls7e_ard_3-2-1_097082_2022-01-14_final
2022-01-16 09:27:34	ga_ls7e_ard_3-2-1_104071_2022-01-15_final
2022-01-17 08:36:38	ga_ls7e_ard_3-2-1_095083_2022-01-16_final
2022-01-17 10:15:55	ga_ls7e_ard_3-2-1_111084_2022-01-17_final
2022-01-19 08:20:54	ga_ls7e_ard_3-2-1_093075_2022-01-18_final
2022-01-21 08:13:56	ga_ls7e_ard_3-2-1_091089_2022-01-20_final
2022-01-21 09:47:13	ga_ls7e_ard_3-2-1_107075_2022-01-21_final
2022-01-24 08:40:33	ga_ls7e_ard_3-2-1_096079_2022-01-23_final
2022-01-24 08:42:56	ga_ls7e_ard_3-2-1_096085_2022-01-23_final
2022-02-05 09:05:16	ga_ls7e_ard_3-2-1_100082_2022-02-04_final
2022-02-07 08:48:43	ga_ls7e_ard_3-2-1_098072_2022-02-06_final
2022-02-09 08:36:56	ga_ls7e_ard_3-2-1_096074_2022-02-08_final
2022-02-10 09:22:29	ga_ls7e_ard_3-2-1_103080_2022-02-09_final
2022-02-12 09:07:08	ga_ls7e_ard_3-2-1_101073_2022-02-11_final
2022-02-15 08:03:13	ga_ls7e_ard_3-2-1_090084_2022-02-14_final
2022-02-16 08:45:59	ga_ls7e_ard_3-2-1_097083_2022-02-15_final
2022-02-18 08:29:51	ga_ls7e_ard_3-2-1_095074_2022-02-17_final
2022-02-20 08:19:17	ga_ls7e_ard_3-2-1_093079_2022-02-19_final
2022-03-01 09:53:07	ga_ls7e_ard_3-2-1_108084_2022-03-01_final
2022-03-10 08:05:35	ga_ls7e_ard_3-2-1_091080_2022-03-09_final
2022-03-11 10:26:49	ga_ls7e_ard_3-2-1_114078_2022-03-11_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_final
2022-03-20 08:41:16	ga_ls7e_ard_3-2-1_097079_2022-03-19_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_final
2022-04-01 09:02:27	ga_ls7e_ard_3-2-1_101073_2022-03-31_final
2022-04-04 07:58:10	ga_ls7e_ard_3-2-1_090083_2022-04-03_final
2022-04-04 09:33:03	ga_ls7e_ard_3-2-1_106073_2022-04-04_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