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
2000-01-26 11:38:38	ga_ls7e_ard_3-0-0_114077_2000-01-26_final
2000-07-20 11:37:36	ga_ls7e_ard_3-0-0_114078_2000-07-20_final
2002-02-16 11:35:30	ga_ls7e_ard_3-0-0_114079_2002-02-16_final
2002-04-28 11:39:38	ga_ls7e_ard_3-0-0_115074_2002-04-28_final
2002-12-24 11:39:56	ga_ls7e_ard_3-0-0_115076_2002-12-24_final
2003-12-20 11:34:39	ga_ls7e_ard_3-0-0_114077_2003-12-20_final
2004-02-22 11:35:43	ga_ls7e_ard_3-0-0_114079_2004-02-22_final
2008-02-01 11:35:45	ga_ls7e_ard_3-0-0_114076_2008-02-01_final
2008-04-21 11:35:32	ga_ls7e_ard_3-0-0_114076_2008-04-21_final
2009-04-08 11:36:08	ga_ls7e_ard_3-0-0_114077_2009-04-08_final
2010-04-27 11:39:37	ga_ls7e_ard_3-0-0_114081_2010-04-27_final
2010-09-18 11:38:55	ga_ls7e_ard_3-0-0_114079_2010-09-18_final
2011-09-28 11:44:50	ga_ls7e_ard_3-0-0_115076_2011-09-28_final
2012-03-31 11:40:20	ga_ls7e_ard_3-0-0_114078_2012-03-31_final
2013-05-05 11:42:07	ga_ls7e_ard_3-0-0_114078_2013-05-05_final
2013-05-05 11:42:55	ga_ls7e_ard_3-0-0_114080_2013-05-05_final
2014-05-24 11:42:47	ga_ls7e_ard_3-0-0_114076_2014-05-24_final
2014-07-27 11:44:38	ga_ls7e_ard_3-0-0_114080_2014-07-27_final
2015-02-04 11:43:43	ga_ls7e_ard_3-0-0_114075_2015-02-04_final
2015-06-03 11:51:32	ga_ls7e_ard_3-1-0_115077_2015-06-03_final
2015-07-14 11:41:34	ga_ls7e_ard_3-0-0_114067_2015-07-14_final
2015-08-22 11:51:27	ga_ls7e_ard_3-0-0_115076_2015-08-22_final
2016-03-01 11:53:57	ga_ls7e_ard_3-1-0_115077_2016-03-01_final
2016-09-02 11:44:31	ga_ls7e_ard_3-0-0_114067_2016-09-02_final
2016-09-18 11:48:33	ga_ls7e_ard_3-0-0_114077_2016-09-18_final
2016-09-25 11:54:21	ga_ls7e_ard_3-0-0_115076_2016-09-25_final
2017-09-05 11:48:50	ga_ls7e_ard_3-0-0_114078_2017-09-05_final
2018-03-16 11:43:02	ga_ls7e_ard_3-0-0_114067_2018-03-16_final
2018-08-23 11:44:38	ga_ls7e_ard_3-0-0_114078_2018-08-23_final
2018-08-23 11:45:26	ga_ls7e_ard_3-0-0_114080_2018-08-23_final
2019-06-30 11:40:40	ga_ls7e_ard_3-0-0_115076_2019-06-30_final
2019-07-25 11:33:30	ga_ls7e_ard_3-0-0_114076_2019-07-25_final
2020-12-06 09:03:01	ga_ls7e_ard_3-1-0_094078_2020-12-05_final
2020-12-13 09:10:40	ga_ls7e_ard_3-1-0_095083_2020-12-12_final
2020-12-17 10:21:43	ga_ls7e_ard_3-1-0_107076_2020-12-17_final
2020-12-26 10:17:16	ga_ls7e_ard_3-1-0_106082_2020-12-26_final
2020-12-27 11:01:16	ga_ls7e_ard_3-1-0_113084_2020-12-27_final
2021-01-07 10:40:22	ga_ls7e_ard_3-1-0_110080_2021-01-07_final
2021-01-14 09:08:46	ga_ls7e_ard_3-1-0_095084_2021-01-13_final
2021-01-16 08:55:52	ga_ls7e_ard_3-1-0_093083_2021-01-15_final
2021-01-18 10:20:15	ga_ls7e_ard_3-1-0_107078_2021-01-18_final
2021-01-23 10:39:38	ga_ls7e_ard_3-2-0_110081_2021-01-23_final
2021-01-31 09:47:37	ga_ls7e_ard_3-2-0_102076_2021-01-31_final
2021-02-07 09:53:40	ga_ls7e_ard_3-2-0_103077_2021-02-07_final
2021-02-19 08:42:12	ga_ls7e_ard_3-2-0_091086_2021-02-18_final
2021-02-24 08:58:46	ga_ls7e_ard_3-2-0_094082_2021-02-23_final
2021-03-01 09:16:07	ga_ls7e_ard_3-2-0_097080_2021-02-28_final
2021-03-02 09:55:43	ga_ls7e_ard_3-2-0_104071_2021-03-02_final
2021-03-19 09:01:33	ga_ls7e_ard_3-2-0_095078_2021-03-18_final
2021-03-30 10:21:48	ga_ls7e_ard_3-2-0_108080_2021-03-30_final
2021-04-19 09:51:01	ga_ls7e_ard_3-2-0_104069_2021-04-19_final
2021-04-20 08:58:06	ga_ls7e_ard_3-2-0_095076_2021-04-19_final
2021-05-07 09:39:08	ga_ls7e_ard_3-2-0_102074_2021-05-07_final
2021-05-08 08:47:50	ga_ls7e_ard_3-2-0_093085_2021-05-07_final
2021-05-15 08:51:49	ga_ls7e_ard_3-2-0_094081_2021-05-14_final
2021-05-21 09:51:55	ga_ls7e_ard_3-2-0_104078_2021-05-21_final
2021-05-22 08:58:36	ga_ls7e_ard_3-2-0_095084_2021-05-21_final
2021-06-23 08:52:21	ga_ls7e_ard_3-2-0_095075_2021-06-22_final
2021-06-28 09:12:52	ga_ls7e_ard_3-2-0_098081_2021-06-27_final
2021-06-29 09:54:51	ga_ls7e_ard_3-2-0_105078_2021-06-29_final
2021-07-03 09:27:48	ga_ls7e_ard_3-2-0_101073_2021-07-02_final
2021-07-08 09:44:43	ga_ls7e_ard_3-2-0_104070_2021-07-08_final
2021-07-09 08:53:24	ga_ls7e_ard_3-2-0_095081_2021-07-08_final
2021-07-11 10:19:21	ga_ls7e_ard_3-2-0_109080_2021-07-11_final
2021-07-19 09:27:14	ga_ls7e_ard_3-2-0_101075_2021-07-18_final
2021-07-25 08:51:38	ga_ls7e_ard_3-2-0_095080_2021-07-24_final
2021-07-28 09:21:52	ga_ls7e_ard_3-2-0_100079_2021-07-27_final
2021-08-05 08:32:55	ga_ls7e_ard_3-2-0_092082_2021-08-04_final
2021-08-07 08:20:47	ga_ls7e_ard_3-2-0_090083_2021-08-06_final
2021-08-22 09:15:29	ga_ls7e_ard_3-2-0_099084_2021-08-21_final
2021-08-31 10:45:01	ga_ls7e_ard_3-2-0_114078_2021-08-31_final
2021-09-17 09:47:54	ga_ls7e_ard_3-2-0_105078_2021-09-17_final
2021-09-25 08:56:08	ga_ls7e_ard_3-2-0_097074_2021-09-24_final
2021-09-30 09:14:14	ga_ls7e_ard_3-2-0_100074_2021-09-29_final
2021-10-04 08:47:58	ga_ls7e_ard_3-2-0_096071_2021-10-03_final
2021-10-15 10:10:08	ga_ls7e_ard_3-2-0_109078_2021-10-15_final
2021-10-20 10:29:01	ga_ls7e_ard_3-2-0_112080_2021-10-20_final
2021-10-22 08:37:36	ga_ls7e_ard_3-2-0_094080_2021-10-21_final
2021-10-31 10:09:52	ga_ls7e_ard_3-2-0_109081_2021-10-31_final
2021-11-07 10:14:35	ga_ls7e_ard_3-2-0_110079_2021-11-07_final
2021-11-12 10:32:15	ga_ls7e_ard_3-2-1_113078_2021-11-12_final
2021-11-14 10:18:29	ga_ls7e_ard_3-2-1_111075_2021-11-14_final
2021-11-15 09:23:10	ga_ls7e_ard_3-2-1_102076_2021-11-14_final
2021-12-04 09:51:04	ga_ls7e_ard_3-2-1_107073_2021-12-04_final
2021-12-14 10:28:23	ga_ls7e_ard_3-2-1_113076_2021-12-14_final
2021-12-16 10:16:38	ga_ls7e_ard_3-2-1_111078_2021-12-16_final
2021-12-27 08:20:32	ga_ls7e_ard_3-2-1_092084_2021-12-26_final
2022-01-24 10:18:37	ga_ls7e_ard_3-2-1_112077_2022-01-24_final
2022-01-28 08:17:50	ga_ls7e_ard_3-2-1_092085_2022-01-27_final
2022-02-13 09:54:40	ga_ls7e_ard_3-2-1_108084_2022-02-13_final
2022-02-14 08:54:57	ga_ls7e_ard_3-2-1_099074_2022-02-13_final
2022-02-15 08:01:38	ga_ls7e_ard_3-2-1_090080_2022-02-14_final
2022-02-15 09:39:42	ga_ls7e_ard_3-2-1_106078_2022-02-15_final
2022-02-18 10:10:43	ga_ls7e_ard_3-2-1_111079_2022-02-18_final
2022-02-20 09:58:58	ga_ls7e_ard_3-2-1_109081_2022-02-20_final
2022-03-09 08:59:18	ga_ls7e_ard_3-2-1_100075_2022-03-08_final
2022-03-10 08:04:47	ga_ls7e_ard_3-2-1_091078_2022-03-09_final
2022-03-15 08:21:37	ga_ls7e_ard_3-2-1_094075_2022-03-14_final
2022-03-31 08:20:05	ga_ls7e_ard_3-2-1_094075_2022-03-30_final
2022-03-31 08:21:41	ga_ls7e_ard_3-2-1_094079_2022-03-30_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