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
1999-09-27 11:44:12	ga_ls7e_ard_3-0-0_115075_1999-09-27_final
2000-01-01 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-01-01_final
2000-09-29 11:42:51	ga_ls7e_ard_3-0-0_115078_2000-09-29_final
2002-02-07 11:40:53	ga_ls7e_ard_3-1-0_115077_2002-02-07_final
2004-05-19 11:40:47	ga_ls7e_ard_3-0-0_115076_2004-05-19_final
2005-05-06 11:41:13	ga_ls7e_ard_3-0-0_115076_2005-05-06_final
2005-12-16 11:41:13	ga_ls7e_ard_3-0-0_115076_2005-12-16_final
2008-04-12 11:42:56	ga_ls7e_ard_3-0-0_115079_2008-04-12_final
2009-09-22 11:42:57	ga_ls7e_ard_3-0-0_115079_2009-09-22_final
2010-07-07 11:44:36	ga_ls7e_ard_3-0-0_115078_2010-07-07_final
2010-11-12 11:45:05	ga_ls7e_ard_3-0-0_115078_2010-11-12_final
2011-03-20 11:46:21	ga_ls7e_ard_3-0-0_115079_2011-03-20_final
2011-05-23 11:45:59	ga_ls7e_ard_3-0-0_115078_2011-05-23_final
2011-12-01 11:44:56	ga_ls7e_ard_3-0-0_115075_2011-12-01_final
2012-01-02 11:45:13	ga_ls7e_ard_3-0-0_115075_2012-01-02_final
2013-08-16 11:46:30	ga_ls7e_ard_3-0-0_115075_2013-08-16_final
2014-07-18 11:49:56	ga_ls7e_ard_3-0-0_115078_2014-07-18_final
2015-03-15 11:50:57	ga_ls7e_ard_3-1-0_115077_2015-03-15_final
2017-10-30 11:53:51	ga_ls7e_ard_3-0-0_115075_2017-10-30_final
2018-02-03 11:53:16	ga_ls7e_ard_3-0-0_115076_2018-02-03_final
2018-03-07 11:53:42	ga_ls7e_ard_3-0-0_115078_2018-03-07_final
2018-05-10 11:53:06	ga_ls7e_ard_3-0-0_115079_2018-05-10_final
2019-03-10 11:44:19	ga_ls7e_ard_3-1-0_115075_2019-03-10_final
2020-02-09 11:31:44	ga_ls7e_ard_3-1-0_115079_2020-02-09_final
2020-06-16 11:22:49	ga_ls7e_ard_3-1-0_115075_2020-06-16_final
2020-10-06 11:15:46	ga_ls7e_ard_3-1-0_115075_2020-10-06_final
2020-12-02 11:05:19	ga_ls7e_ard_3-1-0_114074_2020-12-02_final
2020-12-20 09:11:31	ga_ls7e_ard_3-1-0_096071_2020-12-19_final
2020-12-24 10:29:22	ga_ls7e_ard_3-1-0_108081_2020-12-24_final
2021-01-03 09:26:05	ga_ls7e_ard_3-1-0_098079_2021-01-02_final
2021-01-10 09:32:11	ga_ls7e_ard_3-1-0_099080_2021-01-10_final
2021-01-16 10:32:45	ga_ls7e_ard_3-1-0_109078_2021-01-16_final
2021-01-24 09:42:21	ga_ls7e_ard_3-2-0_101077_2021-01-24_final
2021-01-26 09:31:02	ga_ls7e_ard_3-2-0_099080_2021-01-26_final
2021-02-10 10:26:21	ga_ls7e_ard_3-2-0_108082_2021-02-10_final
2021-02-13 10:57:01	ga_ls7e_ard_3-2-0_113082_2021-02-13_final
2021-02-14 09:58:32	ga_ls7e_ard_3-2-0_104075_2021-02-14_final
2021-02-18 09:36:42	ga_ls7e_ard_3-2-0_100083_2021-02-18_final
2021-02-26 10:20:21	ga_ls7e_ard_3-2-0_108070_2021-02-26_final
2021-02-27 11:06:43	ga_ls7e_ard_3-2-0_115078_2021-02-27_final
2021-03-10 10:48:31	ga_ls7e_ard_3-2-0_112081_2021-03-10_final
2021-03-22 09:31:00	ga_ls7e_ard_3-2-0_100075_2021-03-22_final
2021-03-25 08:25:59	ga_ls7e_ard_3-2-0_089083_2021-03-24_final
2021-03-27 09:51:56	ga_ls7e_ard_3-2-0_103082_2021-03-27_final
2021-04-01 10:05:41	ga_ls7e_ard_3-2-0_106071_2021-04-01_final
2021-04-13 08:56:07	ga_ls7e_ard_3-2-0_094085_2021-04-12_final
2021-04-13 10:27:48	ga_ls7e_ard_3-2-0_110067_2021-04-13_final
2021-04-17 10:03:57	ga_ls7e_ard_3-2-0_106070_2021-04-17_final
2021-04-20 10:36:59	ga_ls7e_ard_3-2-0_111076_2021-04-20_final
2021-04-21 09:40:05	ga_ls7e_ard_3-2-0_102073_2021-04-21_final
2021-04-24 10:11:32	ga_ls7e_ard_3-2-0_107075_2021-04-24_final
2021-05-03 10:04:11	ga_ls7e_ard_3-2-0_106074_2021-05-03_final
2021-05-08 10:21:07	ga_ls7e_ard_3-2-0_109071_2021-05-08_final
2021-05-17 10:16:11	ga_ls7e_ard_3-2-0_108076_2021-05-17_final
2021-05-18 09:22:04	ga_ls7e_ard_3-2-0_099080_2021-05-17_final
2021-05-29 09:04:11	ga_ls7e_ard_3-2-0_096084_2021-05-28_final
2021-06-04 08:26:36	ga_ls7e_ard_3-2-0_090084_2021-06-03_final
2021-06-26 09:21:49	ga_ls7e_ard_3-2-0_100072_2021-06-25_final
2021-06-27 10:04:35	ga_ls7e_ard_3-2-0_107071_2021-06-27_final
2021-06-28 09:11:17	ga_ls7e_ard_3-2-0_098077_2021-06-27_final
2021-07-09 10:28:42	ga_ls7e_ard_3-2-0_111072_2021-07-09_final
2021-07-29 10:05:50	ga_ls7e_ard_3-2-0_107081_2021-07-29_final
2021-08-01 10:36:05	ga_ls7e_ard_3-2-0_112080_2021-08-01_final
2021-08-05 10:08:13	ga_ls7e_ard_3-2-0_108073_2021-08-05_final
2021-08-07 09:56:04	ga_ls7e_ard_3-2-0_106074_2021-08-07_final
2021-08-16 08:12:36	ga_ls7e_ard_3-2-0_089080_2021-08-15_final
2021-08-21 10:05:12	ga_ls7e_ard_3-2-0_108069_2021-08-21_final
2021-08-28 08:38:41	ga_ls7e_ard_3-2-0_093086_2021-08-27_final
2021-08-30 10:00:14	ga_ls7e_ard_3-2-0_107074_2021-08-30_final
2021-08-31 09:08:08	ga_ls7e_ard_3-2-0_098083_2021-08-30_final
2021-09-10 09:38:21	ga_ls7e_ard_3-2-0_104068_2021-09-10_final
2021-09-24 08:17:22	ga_ls7e_ard_3-2-0_090085_2021-09-23_final
2021-10-15 08:31:15	ga_ls7e_ard_3-2-0_093078_2021-10-14_final
2021-10-25 09:08:13	ga_ls7e_ard_3-2-0_099080_2021-10-24_final
2021-10-31 10:11:04	ga_ls7e_ard_3-2-0_109084_2021-10-31_final
2021-11-03 09:00:49	ga_ls7e_ard_3-2-0_098079_2021-11-02_final
2021-11-07 10:16:11	ga_ls7e_ard_3-2-0_110083_2021-11-07_final
2021-11-10 10:44:24	ga_ls7e_ard_3-2-0_115077_2021-11-10_final
2021-11-18 09:53:23	ga_ls7e_ard_3-2-1_107075_2021-11-18_final
2021-12-04 08:16:59	ga_ls7e_ard_3-2-1_091085_2021-12-03_final
2021-12-04 09:51:52	ga_ls7e_ard_3-2-1_107075_2021-12-04_final
2021-12-09 10:12:19	ga_ls7e_ard_3-2-1_110081_2021-12-09_final
2021-12-11 08:22:06	ga_ls7e_ard_3-2-1_092084_2021-12-10_final
2021-12-11 09:56:35	ga_ls7e_ard_3-2-1_108073_2021-12-11_final
2021-12-14 08:50:19	ga_ls7e_ard_3-2-1_097078_2021-12-13_final
2021-12-20 08:16:15	ga_ls7e_ard_3-2-1_091087_2021-12-19_final
2021-12-21 08:55:49	ga_ls7e_ard_3-2-1_098078_2021-12-20_final
2021-12-21 10:33:30	ga_ls7e_ard_3-2-1_114075_2021-12-21_final
2021-12-26 09:13:27	ga_ls7e_ard_3-2-1_101077_2021-12-25_final
2021-12-30 08:51:08	ga_ls7e_ard_3-2-1_097084_2021-12-29_final
2022-01-15 08:49:35	ga_ls7e_ard_3-2-1_097084_2022-01-14_final
2022-01-22 08:51:30	ga_ls7e_ard_3-2-1_098075_2022-01-21_final
2022-02-08 07:56:59	ga_ls7e_ard_3-2-1_089082_2022-02-07_final
2022-02-08 09:35:27	ga_ls7e_ard_3-2-1_105081_2022-02-08_final
2022-02-15 09:36:07	ga_ls7e_ard_3-2-1_106069_2022-02-15_final
2022-02-15 09:38:06	ga_ls7e_ard_3-2-1_106074_2022-02-15_final
2022-02-25 10:17:26	ga_ls7e_ard_3-2-1_112082_2022-02-25_final
2022-02-25 10:17:50	ga_ls7e_ard_3-2-1_112083_2022-02-25_final
2022-02-27 10:01:17	ga_ls7e_ard_3-2-1_110073_2022-02-27_final
2022-03-17 09:45:56	ga_ls7e_ard_3-2-1_108070_2022-03-17_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years