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
1999-08-13 10:34:07	ga_ls7e_ard_3-1-0_104070_1999-08-13_final
1999-10-20 10:13:47	ga_ls7e_ard_3-1-0_100081_1999-10-20_final
1999-10-24 11:27:07	ga_ls7e_ard_3-1-0_112079_1999-10-24_final
2000-05-30 09:31:58	ga_ls7e_ard_3-1-0_093087_2000-05-30_final
2000-06-04 11:25:20	ga_ls7e_ard_3-1-0_112077_2000-06-04_final
2000-07-28 09:11:53	ga_ls7e_ard_3-1-0_090085_2000-07-27_final
2000-07-30 10:32:25	ga_ls7e_ard_3-1-0_104070_2000-07-30_final
2000-08-15 10:32:19	ga_ls7e_ard_3-1-0_104070_2000-08-15_final
2000-08-29 09:11:37	ga_ls7e_ard_3-1-0_090085_2000-08-28_final
2000-10-22 10:11:08	ga_ls7e_ard_3-1-0_100081_2000-10-22_final
2000-11-17 09:11:02	ga_ls7e_ard_3-1-0_090085_2000-11-16_final
2001-02-17 09:35:02	ga_ls7e_ard_3-1-0_094083_2001-02-17_final
2001-06-07 11:25:54	ga_ls7e_ard_3-1-0_112084_2001-06-07_final
2001-09-01 09:09:22	ga_ls7e_ard_3-1-0_090085_2001-08-31_final
2001-11-04 09:09:03	ga_ls7e_ard_3-1-0_090085_2001-11-03_final
2001-11-30 11:22:48	ga_ls7e_ard_3-1-0_112079_2001-11-30_final
2002-01-29 10:09:41	ga_ls7e_ard_3-1-0_100081_2002-01-29_final
2002-02-13 09:27:20	ga_ls7e_ard_3-1-0_093083_2002-02-12_final
2002-05-31 09:09:18	ga_ls7e_ard_3-1-0_090085_2002-05-30_final
2002-08-19 09:08:50	ga_ls7e_ard_3-1-0_090085_2002-08-18_final
2002-10-08 10:28:55	ga_ls7e_ard_3-1-0_104070_2002-10-08_final
2002-10-11 09:27:37	ga_ls7e_ard_3-1-0_093087_2002-10-10_final
2002-10-12 10:08:31	ga_ls7e_ard_3-1-0_100081_2002-10-12_final
2002-12-14 09:26:41	ga_ls7e_ard_3-1-0_093083_2002-12-13_final
2003-02-23 09:33:16	ga_ls7e_ard_3-1-0_094083_2003-02-23_final
2004-11-12 09:09:37	ga_ls7e_ard_3-1-0_090085_2004-11-11_final
2005-05-12 09:29:39	ga_ls7e_ard_3-1-0_093087_2005-05-11_final
2005-09-08 09:33:44	ga_ls7e_ard_3-1-0_094083_2005-09-08_final
2005-09-17 09:29:06	ga_ls7e_ard_3-1-0_093087_2005-09-16_final
2006-03-23 09:10:47	ga_ls7e_ard_3-1-0_090085_2006-03-22_final
2006-09-17 10:30:45	ga_ls7e_ard_3-1-0_104070_2006-09-17_final
2007-12-12 09:29:55	ga_ls7e_ard_3-1-0_093086_2007-12-11_final
2008-03-01 09:26:38	ga_ls7e_ard_3-1-0_093078_2008-02-29_final
2008-12-21 09:30:10	ga_ls7e_ard_3-1-0_094073_2008-12-21_final
2009-02-16 09:28:21	ga_ls7e_ard_3-1-0_093083_2009-02-15_final
2009-08-06 09:10:54	ga_ls7e_ard_3-1-0_090085_2009-08-05_final
2011-03-26 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-03-26_final
2011-04-27 09:33:38	ga_ls7e_ard_3-1-0_093087_2011-04-27_final
2011-06-19 11:29:49	ga_ls7e_ard_3-1-0_112084_2011-06-19_final
2014-01-08 09:17:08	ga_ls7e_ard_3-1-0_090085_2014-01-07_final
2017-05-29 09:42:34	ga_ls7e_ard_3-1-0_093087_2017-05-29_final
2019-02-28 09:33:04	ga_ls7e_ard_3-1-0_093086_2019-02-28_final
2019-03-07 09:39:01	ga_ls7e_ard_3-1-0_094086_2019-03-07_final
2019-03-18 10:54:37	ga_ls7e_ard_3-1-0_107075_2019-03-18_final
2019-08-24 10:04:09	ga_ls7e_ard_3-1-0_100072_2019-08-24_final
2019-09-02 10:00:46	ga_ls7e_ard_3-1-0_099080_2019-09-02_final
2019-09-05 10:29:09	ga_ls7e_ard_3-1-0_104074_2019-09-05_final
2019-09-15 09:30:54	ga_ls7e_ard_3-1-0_094084_2019-09-15_final
2019-09-19 09:03:36	ga_ls7e_ard_3-1-0_090078_2019-09-18_final
2019-09-24 09:21:55	ga_ls7e_ard_3-1-0_093078_2019-09-23_final
2019-10-05 09:06:55	ga_ls7e_ard_3-1-0_090088_2019-10-04_final
2019-10-10 09:24:27	ga_ls7e_ard_3-1-0_093086_2019-10-09_final
2019-10-12 10:46:06	ga_ls7e_ard_3-1-0_107074_2019-10-12_final
2019-10-27 10:01:24	ga_ls7e_ard_3-1-0_100072_2019-10-27_final
2019-11-12 10:00:41	ga_ls7e_ard_3-1-0_100072_2019-11-12_final
2019-11-12 10:01:53	ga_ls7e_ard_3-1-0_100075_2019-11-12_final
2019-12-19 10:18:13	ga_ls7e_ard_3-1-0_103074_2019-12-19_final
2019-12-29 09:21:29	ga_ls7e_ard_3-1-0_093088_2019-12-28_final
2020-01-14 09:19:28	ga_ls7e_ard_3-1-0_093085_2020-01-13_final
2020-01-15 10:00:17	ga_ls7e_ard_3-1-0_100079_2020-01-15_final
2020-01-24 09:54:04	ga_ls7e_ard_3-1-0_099080_2020-01-24_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-01-27 10:20:26	ga_ls7e_ard_3-1-0_104069_2020-01-27_final
2020-01-27 10:22:25	ga_ls7e_ard_3-1-0_104074_2020-01-27_final
2020-02-06 09:19:43	ga_ls7e_ard_3-1-0_094073_2020-02-05_final
2020-02-17 10:43:53	ga_ls7e_ard_3-1-0_107084_2020-02-17_final
2020-02-26 08:59:08	ga_ls7e_ard_3-1-0_090086_2020-02-25_final
2020-03-02 09:17:49	ga_ls7e_ard_3-1-0_093087_2020-03-01_final
2020-03-12 09:50:21	ga_ls7e_ard_3-1-0_099077_2020-03-12_final
2020-03-12 09:51:33	ga_ls7e_ard_3-1-0_099080_2020-03-12_final
2020-03-18 09:12:57	ga_ls7e_ard_3-1-0_093077_2020-03-17_final
2020-03-28 09:47:05	ga_ls7e_ard_3-1-0_099071_2020-03-28_final
2020-03-28 09:49:52	ga_ls7e_ard_3-1-0_099078_2020-03-28_final
2020-04-03 09:15:39	ga_ls7e_ard_3-1-0_093086_2020-04-02_final
2020-04-10 09:21:25	ga_ls7e_ard_3-1-0_094086_2020-04-09_final
2020-04-13 09:44:58	ga_ls7e_ard_3-1-0_099068_2020-04-13_final
2020-04-14 08:54:28	ga_ls7e_ard_3-1-0_090081_2020-04-13_final
2022-03-13 08:36:35	ga_ls7e_ard_3-2-1_096081_2022-03-12_final
2022-03-13 10:13:04	ga_ls7e_ard_3-2-1_112075_2022-03-13_final
2022-03-15 10:00:30	ga_ls7e_ard_3-2-1_110075_2022-03-15_final
2022-03-18 08:53:00	ga_ls7e_ard_3-2-1_099077_2022-03-17_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_final
2022-03-21 09:22:26	ga_ls7e_ard_3-2-1_104074_2022-03-20_final
2022-03-22 10:07:12	ga_ls7e_ard_3-2-1_111078_2022-03-22_final
2022-03-22 10:08:00	ga_ls7e_ard_3-2-1_111080_2022-03-22_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-24 09:56:15	ga_ls7e_ard_3-2-1_109082_2022-03-24_final
2022-03-26 08:05:13	ga_ls7e_ard_3-2-1_091083_2022-03-25_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_final
2022-03-27 08:48:47	ga_ls7e_ard_3-2-1_098084_2022-03-26_final
2022-03-29 08:30:39	ga_ls7e_ard_3-2-1_096070_2022-03-28_final
2022-03-31 08:20:53	ga_ls7e_ard_3-2-1_094077_2022-03-30_final
2022-03-31 09:57:46	ga_ls7e_ard_3-2-1_110072_2022-03-31_final
2022-04-01 09:06:27	ga_ls7e_ard_3-2-1_101083_2022-03-31_final
2022-04-02 08:08:20	ga_ls7e_ard_3-2-1_092077_2022-04-01_final
2022-04-02 08:10:44	ga_ls7e_ard_3-2-1_092083_2022-04-01_final
2022-04-03 10:29:34	ga_ls7e_ard_3-2-1_115075_2022-04-03_final
2022-04-04 07:56:10	ga_ls7e_ard_3-2-1_090078_2022-04-03_final
2022-04-04 09:31:51	ga_ls7e_ard_3-2-1_106070_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