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
1999-08-19 11:37:51	ga_ls7e_ard_3-0-0_114075_1999-08-19_final
1999-10-06 11:38:04	ga_ls7e_ard_3-0-0_114075_1999-10-06_final
2000-04-08 11:33:15	ga_ls7e_ard_3-0-0_113080_2000-04-08_final
2000-10-17 11:30:11	ga_ls7e_ard_3-0-0_113078_2000-10-17_final
2001-03-17 11:36:53	ga_ls7e_ard_3-0-0_114079_2001-03-17_final
2001-03-24 11:41:00	ga_ls7e_ard_3-0-0_115074_2001-03-24_final
2002-01-08 11:29:11	ga_ls7e_ard_3-0-0_113079_2002-01-08_final
2002-03-04 11:33:58	ga_ls7e_ard_3-0-0_114075_2002-03-04_final
2002-04-30 11:30:52	ga_ls7e_ard_3-0-0_113083_2002-04-30_final
2002-06-08 11:35:12	ga_ls7e_ard_3-0-0_114079_2002-06-08_final
2002-08-18 11:39:45	ga_ls7e_ard_3-0-0_115076_2002-08-18_final
2002-10-14 11:33:54	ga_ls7e_ard_3-0-0_114078_2002-10-14_final
2002-10-21 11:40:35	ga_ls7e_ard_3-0-0_115079_2002-10-21_final
2002-11-15 11:33:46	ga_ls7e_ard_3-0-0_114077_2002-11-15_final
2002-12-10 11:28:41	ga_ls7e_ard_3-0-0_113079_2002-12-10_final
2003-02-03 11:35:36	ga_ls7e_ard_3-0-0_114080_2003-02-03_final
2003-05-03 11:30:48	ga_ls7e_ard_3-0-0_113083_2003-05-03_final
2006-05-18 11:35:30	ga_ls7e_ard_3-0-0_114076_2006-05-18_final
2007-07-01 11:30:17	ga_ls7e_ard_3-0-0_113078_2007-07-01_final
2007-09-03 11:32:20	ga_ls7e_ard_3-0-0_113084_2007-09-03_final
2008-05-23 11:31:46	ga_ls7e_ard_3-0-0_114067_2008-05-23_final
2008-06-24 11:37:04	ga_ls7e_ard_3-0-0_114081_2008-06-24_final
2008-08-11 11:35:01	ga_ls7e_ard_3-0-0_114077_2008-08-11_final
2010-03-17 11:44:09	ga_ls7e_ard_3-1-0_115077_2010-03-17_final
2010-05-29 11:38:45	ga_ls7e_ard_3-0-0_114079_2010-05-29_final
2010-08-26 11:33:06	ga_ls7e_ard_3-0-0_113080_2010-08-26_final
2011-10-16 11:33:19	ga_ls7e_ard_3-0-0_113078_2011-10-16_final
2013-06-22 11:41:50	ga_ls7e_ard_3-0-0_114078_2013-06-22_final
2013-07-08 11:40:51	ga_ls7e_ard_3-0-0_114076_2013-07-08_final
2014-08-05 11:38:30	ga_ls7e_ard_3-0-0_113080_2014-08-05_final
2016-04-04 11:42:37	ga_ls7e_ard_3-0-0_113079_2016-04-04_final
2016-11-21 11:49:09	ga_ls7e_ard_3-0-0_114079_2016-11-21_final
2017-01-01 11:43:32	ga_ls7e_ard_3-0-0_113081_2017-01-01_final
2017-04-30 11:47:52	ga_ls7e_ard_3-0-0_114076_2017-04-30_final
2017-11-01 11:42:17	ga_ls7e_ard_3-0-0_113077_2017-11-01_final
2019-03-19 11:38:15	ga_ls7e_ard_3-1-0_114076_2019-03-19_final
2019-08-03 11:28:09	ga_ls7e_ard_3-0-0_113079_2019-08-03_final
2020-05-17 11:13:26	ga_ls7e_ard_3-1-0_113078_2020-05-17_final
2020-07-20 11:10:01	ga_ls7e_ard_3-1-0_113079_2020-07-20_final
2020-10-24 11:03:50	ga_ls7e_ard_3-1-0_113079_2020-10-24_final
2020-11-26 10:03:33	ga_ls7e_ard_3-1-0_104073_2020-11-26_final
2020-12-13 09:07:52	ga_ls7e_ard_3-1-0_095076_2020-12-12_final
2021-01-07 09:03:29	ga_ls7e_ard_3-1-0_094085_2021-01-06_final
2021-01-14 10:45:15	ga_ls7e_ard_3-1-0_111078_2021-01-14_final
2021-01-22 09:52:27	ga_ls7e_ard_3-2-0_103071_2021-01-22_final
2021-01-23 08:58:21	ga_ls7e_ard_3-2-0_094075_2021-01-22_final
2021-01-23 09:02:21	ga_ls7e_ard_3-2-0_094085_2021-01-22_final
2021-01-30 09:06:25	ga_ls7e_ard_3-2-0_095081_2021-01-29_final
2021-02-20 11:00:17	ga_ls7e_ard_3-2-0_114076_2021-02-20_final
2021-02-27 09:29:02	ga_ls7e_ard_3-2-0_099081_2021-02-26_final
2021-03-05 08:49:54	ga_ls7e_ard_3-2-0_093077_2021-03-04_final
2021-03-12 10:35:12	ga_ls7e_ard_3-2-0_110079_2021-03-12_final
2021-03-14 10:23:29	ga_ls7e_ard_3-2-0_108081_2021-03-14_final
2021-04-03 09:54:21	ga_ls7e_ard_3-2-0_104074_2021-04-03_final
2021-04-04 10:37:56	ga_ls7e_ard_3-2-0_111075_2021-04-04_final
2021-04-05 09:43:49	ga_ls7e_ard_3-2-0_102079_2021-04-05_final
2021-04-08 10:14:04	ga_ls7e_ard_3-2-0_107078_2021-04-08_final
2021-04-27 09:05:41	ga_ls7e_ard_3-2-0_096081_2021-04-26_final
2021-05-02 09:21:01	ga_ls7e_ard_3-2-0_099074_2021-05-01_final
2021-05-06 10:36:02	ga_ls7e_ard_3-2-0_111077_2021-05-06_final
2021-06-11 10:06:18	ga_ls7e_ard_3-2-0_107072_2021-06-11_final
2021-06-12 09:14:35	ga_ls7e_ard_3-2-0_098082_2021-06-11_final
2021-06-27 10:06:35	ga_ls7e_ard_3-2-0_107076_2021-06-27_final
2021-07-01 09:41:32	ga_ls7e_ard_3-2-0_103076_2021-07-01_final
2021-07-09 08:51:25	ga_ls7e_ard_3-2-0_095076_2021-07-08_final
2021-07-14 09:13:07	ga_ls7e_ard_3-2-0_098085_2021-07-13_final
2021-07-16 08:55:00	ga_ls7e_ard_3-2-0_096071_2021-07-15_final
2021-07-17 09:37:46	ga_ls7e_ard_3-2-0_103070_2021-07-17_final
2021-07-17 09:41:46	ga_ls7e_ard_3-2-0_103080_2021-07-17_final
2021-07-24 09:46:56	ga_ls7e_ard_3-2-0_104079_2021-07-24_final
2021-08-10 08:51:25	ga_ls7e_ard_3-2-0_095083_2021-08-09_final
2021-08-21 08:30:43	ga_ls7e_ard_3-2-0_092080_2021-08-20_final
2021-08-24 08:58:10	ga_ls7e_ard_3-2-0_097072_2021-08-23_final
2021-08-26 10:26:06	ga_ls7e_ard_3-2-0_111076_2021-08-26_final
2021-09-03 09:37:10	ga_ls7e_ard_3-2-0_103079_2021-09-03_final
2021-09-18 08:50:35	ga_ls7e_ard_3-2-0_096074_2021-09-17_final
2021-09-18 10:30:40	ga_ls7e_ard_3-2-0_112077_2021-09-18_final
2021-09-25 08:58:56	ga_ls7e_ard_3-2-0_097081_2021-09-24_final
2021-09-27 08:44:48	ga_ls7e_ard_3-2-0_095077_2021-09-26_final
2021-09-30 09:14:38	ga_ls7e_ard_3-2-0_100075_2021-09-29_final
2021-10-02 09:01:42	ga_ls7e_ard_3-2-0_098074_2021-10-01_final
2021-10-11 08:57:55	ga_ls7e_ard_3-2-0_097082_2021-10-10_final
2021-10-17 08:21:54	ga_ls7e_ard_3-2-0_091086_2021-10-16_final
2021-10-21 09:30:31	ga_ls7e_ard_3-2-0_103073_2021-10-21_final
2021-10-24 10:00:44	ga_ls7e_ard_3-2-0_108072_2021-10-24_final
2021-10-29 10:21:37	ga_ls7e_ard_3-2-0_111079_2021-10-29_final
2021-11-16 08:29:03	ga_ls7e_ard_3-2-1_093080_2021-11-15_final
2021-12-05 08:56:33	ga_ls7e_ard_3-2-1_098076_2021-12-04_final
2022-01-10 10:08:24	ga_ls7e_ard_3-2-1_110079_2022-01-10_final
2022-01-17 10:13:31	ga_ls7e_ard_3-2-1_111078_2022-01-17_final
2022-01-26 10:07:16	ga_ls7e_ard_3-2-1_110080_2022-01-26_final
2022-01-30 09:42:09	ga_ls7e_ard_3-2-1_106080_2022-01-30_final
2022-02-03 09:16:14	ga_ls7e_ard_3-2-1_102078_2022-02-02_final
2022-02-20 08:18:53	ga_ls7e_ard_3-2-1_093078_2022-02-19_final
2022-02-26 09:17:20	ga_ls7e_ard_3-2-1_103071_2022-02-25_final
2022-03-05 09:22:02	ga_ls7e_ard_3-2-1_104069_2022-03-04_final
2022-03-11 08:46:45	ga_ls7e_ard_3-2-1_098075_2022-03-10_final
2022-03-20 10:18:33	ga_ls7e_ard_3-2-1_113075_2022-03-20_final
2022-03-29 08:31:51	ga_ls7e_ard_3-2-1_096073_2022-03-28_final
2022-03-31 08:23:17	ga_ls7e_ard_3-2-1_094083_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