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
2001-04-29 09:36:53	ga_ls7e_ard_3-1-0_095073_2001-04-29_final
2002-09-18 10:55:42	ga_ls7e_ard_3-1-0_108075_2002-09-18_final
2003-08-18 11:07:31	ga_ls7e_ard_3-1-0_110072_2003-08-18_final
2004-01-25 11:08:09	ga_ls7e_ard_3-1-0_110072_2004-01-25_final
2004-01-30 09:49:26	ga_ls7e_ard_3-1-0_097076_2004-01-30_final
2004-02-11 10:16:59	ga_ls7e_ard_3-1-0_101083_2004-02-11_final
2004-02-19 11:05:37	ga_ls7e_ard_3-1-0_109081_2004-02-19_final
2004-04-14 09:30:12	ga_ls7e_ard_3-1-0_094074_2004-04-14_final
2004-08-05 10:13:29	ga_ls7e_ard_3-1-0_101075_2004-08-05_final
2004-09-21 11:07:43	ga_ls7e_ard_3-1-0_110072_2004-09-21_final
2005-04-01 11:08:46	ga_ls7e_ard_3-1-0_110072_2005-04-01_final
2006-03-03 09:28:19	ga_ls7e_ard_3-1-0_094067_2006-03-02_final
2006-05-20 09:48:14	ga_ls7e_ard_3-1-0_096086_2006-05-20_final
2007-09-21 11:19:04	ga_ls7e_ard_3-1-0_111082_2007-09-21_final
2007-11-05 10:45:36	ga_ls7e_ard_3-1-0_106075_2007-11-05_final
2008-06-15 10:00:04	ga_ls7e_ard_3-1-0_099070_2008-06-15_final
2008-08-03 10:44:49	ga_ls7e_ard_3-1-0_106075_2008-08-03_final
2009-01-04 09:47:48	ga_ls7e_ard_3-1-0_096086_2009-01-04_final
2009-02-18 09:17:12	ga_ls7e_ard_3-1-0_091086_2009-02-17_final
2009-04-30 10:58:21	ga_ls7e_ard_3-1-0_108075_2009-04-30_final
2009-05-14 09:28:40	ga_ls7e_ard_3-1-0_094067_2009-05-13_final
2009-08-03 10:14:54	ga_ls7e_ard_3-1-0_101075_2009-08-03_final
2009-10-18 09:03:06	ga_ls7e_ard_3-1-0_089081_2009-10-17_final
2009-10-25 10:45:53	ga_ls7e_ard_3-1-0_106075_2009-10-25_final
2009-12-24 09:29:23	ga_ls7e_ard_3-1-0_094067_2009-12-23_final
2010-03-05 09:38:52	ga_ls7e_ard_3-1-0_095073_2010-03-05_final
2010-07-21 10:19:42	ga_ls7e_ard_3-1-0_101082_2010-07-21_final
2010-07-27 11:21:30	ga_ls7e_ard_3-1-0_111082_2010-07-27_final
2012-01-24 11:10:30	ga_ls7e_ard_3-1-0_109081_2012-01-24_final
2012-05-13 09:41:31	ga_ls7e_ard_3-1-0_095073_2012-05-13_final
2012-07-09 09:32:56	ga_ls7e_ard_3-1-0_094067_2012-07-09_final
2012-08-21 09:15:17	ga_ls7e_ard_3-1-0_091068_2012-08-20_final
2012-09-22 09:22:46	ga_ls7e_ard_3-1-0_091086_2012-09-21_final
2012-09-27 11:14:40	ga_ls7e_ard_3-1-0_110072_2012-09-27_final
2012-10-04 09:42:25	ga_ls7e_ard_3-1-0_095073_2012-10-04_final
2013-08-01 10:50:50	ga_ls7e_ard_3-1-0_106075_2013-08-01_final
2013-09-30 09:34:01	ga_ls7e_ard_3-1-0_094067_2013-09-30_final
2014-12-04 11:30:39	ga_ls7e_ard_3-1-0_112074_2014-12-04_final
2015-03-10 09:57:03	ga_ls7e_ard_3-1-0_096086_2015-03-10_final
2015-03-19 09:45:48	ga_ls7e_ard_3-1-0_095073_2015-03-19_final
2016-03-30 09:40:23	ga_ls7e_ard_3-1-0_094067_2016-03-30_final
2017-05-04 11:22:45	ga_ls7e_ard_3-1-0_110075_2017-05-04_final
2018-07-06 10:06:38	ga_ls7e_ard_3-1-0_098078_2018-07-06_final
2019-01-16 11:31:01	ga_ls7e_ard_3-1-0_112084_2019-01-16_final
2019-03-10 10:03:27	ga_ls7e_ard_3-1-0_099070_2019-03-10_final
2019-09-18 09:59:40	ga_ls7e_ard_3-1-0_099079_2019-09-18_final
2019-09-20 11:21:19	ga_ls7e_ard_3-1-0_113067_2019-09-20_final
2019-09-26 10:47:09	ga_ls7e_ard_3-1-0_107075_2019-09-26_final
2019-09-26 10:50:21	ga_ls7e_ard_3-1-0_107083_2019-09-26_final
2019-10-05 09:06:07	ga_ls7e_ard_3-1-0_090086_2019-10-04_final
2019-11-06 10:38:26	ga_ls7e_ard_3-1-0_106073_2019-11-06_final
2019-11-07 11:22:03	ga_ls7e_ard_3-1-0_113074_2019-11-07_final
2019-11-13 09:10:12	ga_ls7e_ard_3-1-0_091085_2019-11-12_final
2019-11-21 09:57:16	ga_ls7e_ard_3-1-0_099080_2019-11-21_final
2019-11-28 09:59:55	ga_ls7e_ard_3-1-0_100072_2019-11-28_final
2019-12-04 11:03:02	ga_ls7e_ard_3-1-0_110076_2019-12-04_final
2019-12-24 09:02:01	ga_ls7e_ard_3-1-0_090085_2019-12-23_final
2020-01-01 09:43:51	ga_ls7e_ard_3-1-0_098067_2020-01-01_final
2020-01-14 10:56:21	ga_ls7e_ard_3-1-0_109080_2020-01-14_final
2020-01-30 10:56:46	ga_ls7e_ard_3-1-0_109083_2020-01-30_final
2020-02-01 09:03:02	ga_ls7e_ard_3-1-0_091077_2020-01-31_final
2020-02-01 09:06:13	ga_ls7e_ard_3-1-0_091085_2020-01-31_final
2020-02-02 09:45:02	ga_ls7e_ard_3-1-0_098074_2020-02-02_final
2020-02-06 11:02:35	ga_ls7e_ard_3-1-0_110083_2020-02-06_final
2020-02-16 09:58:16	ga_ls7e_ard_3-1-0_100078_2020-02-16_final
2020-02-22 10:58:34	ga_ls7e_ard_3-1-0_110075_2020-02-22_final
2020-02-26 08:55:33	ga_ls7e_ard_3-1-0_090077_2020-02-25_final
2020-03-15 10:19:30	ga_ls7e_ard_3-1-0_104073_2020-03-15_final
2020-03-21 09:46:52	ga_ls7e_ard_3-1-0_098085_2020-03-21_final
2020-03-24 10:12:25	ga_ls7e_ard_3-1-0_103072_2020-03-24_final
2020-04-04 09:53:16	ga_ls7e_ard_3-1-0_100072_2020-04-04_final
2020-04-24 11:10:39	ga_ls7e_ard_3-1-0_112083_2020-04-24_final
2020-04-29 09:47:37	ga_ls7e_ard_3-1-0_099077_2020-04-29_final
2021-03-13 09:37:54	ga_ls7e_ard_3-2-0_101075_2021-03-13_final
2021-03-17 10:54:56	ga_ls7e_ard_3-2-0_113083_2021-03-17_final
2021-03-23 08:35:42	ga_ls7e_ard_3-2-0_091076_2021-03-22_final
2021-04-13 08:55:43	ga_ls7e_ard_3-2-0_094084_2021-04-12_final
2021-04-17 08:33:03	ga_ls7e_ard_3-2-0_090090_2021-04-16_final
2021-05-22 08:54:37	ga_ls7e_ard_3-2-0_095074_2021-05-21_final
2021-06-04 08:28:59	ga_ls7e_ard_3-2-0_090090_2021-06-03_final
2021-06-11 10:05:30	ga_ls7e_ard_3-2-0_107070_2021-06-11_final
2021-06-23 10:31:38	ga_ls7e_ard_3-2-0_111076_2021-06-23_final
2021-06-25 10:21:54	ga_ls7e_ard_3-2-0_109083_2021-06-25_final
2021-06-28 09:07:17	ga_ls7e_ard_3-2-0_098067_2021-06-27_final
2021-07-07 10:39:14	ga_ls7e_ard_3-2-0_113067_2021-07-07_final
2021-07-15 08:16:37	ga_ls7e_ard_3-2-0_089083_2021-07-14_final
2021-08-10 10:27:54	ga_ls7e_ard_3-2-0_111077_2021-08-10_final
2021-08-19 08:45:38	ga_ls7e_ard_3-2-0_094086_2021-08-18_final
2021-10-17 09:56:00	ga_ls7e_ard_3-2-0_107074_2021-10-17_final
2021-10-29 10:19:13	ga_ls7e_ard_3-2-0_111073_2021-10-29_final
2021-11-03 08:56:01	ga_ls7e_ard_3-2-0_098067_2021-11-02_final
2021-11-16 10:06:44	ga_ls7e_ard_3-2-1_109077_2021-11-16_final
2021-11-21 10:27:11	ga_ls7e_ard_3-2-1_112083_2021-11-21_final
2021-12-01 09:19:15	ga_ls7e_ard_3-2-1_102070_2021-11-30_final
2021-12-14 10:27:36	ga_ls7e_ard_3-2-1_113074_2021-12-14_final
2022-01-19 10:03:22	ga_ls7e_ard_3-2-1_109084_2022-01-19_final
2022-01-22 08:50:18	ga_ls7e_ard_3-2-1_098072_2022-01-21_final
2022-02-07 08:46:43	ga_ls7e_ard_3-2-1_098067_2022-02-06_final
2022-03-21 09:20:02	ga_ls7e_ard_3-2-1_104068_2022-03-20_final
2022-03-24 08:18:34	ga_ls7e_ard_3-2-1_093085_2022-03-23_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