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
2000-05-12 09:44:31	ga_ls7e_ard_3-0-0_095087_2000-05-12_final
2001-01-06 08:57:33	ga_ls7e_ard_3-0-0_088082_2001-01-05_final
2003-08-25 09:39:59	ga_ls7e_ard_3-0-0_095085_2003-08-25_final
2004-03-19 08:56:24	ga_ls7e_ard_3-0-0_088082_2004-03-18_final
2005-02-03 09:33:54	ga_ls7e_ard_3-0-0_095067_2005-02-03_final
2005-02-19 09:36:26	ga_ls7e_ard_3-1-0_095073_2005-02-19_final
2005-04-08 09:41:36	ga_ls7e_ard_3-0-0_095086_2005-04-08_final
2007-04-30 09:42:51	ga_ls7e_ard_3-0-0_095087_2007-04-30_final
2007-08-20 09:37:36	ga_ls7e_ard_3-0-0_095075_2007-08-20_final
2008-07-21 09:41:19	ga_ls7e_ard_3-0-0_095086_2008-07-21_final
2008-10-25 09:36:26	ga_ls7e_ard_3-0-0_095075_2008-10-25_final
2009-01-29 09:42:09	ga_ls7e_ard_3-0-0_095087_2009-01-29_final
2010-12-18 09:40:14	ga_ls7e_ard_3-0-0_095074_2010-12-18_final
2011-12-05 09:38:10	ga_ls7e_ard_3-0-0_095067_2011-12-05_final
2012-02-06 09:01:13	ga_ls7e_ard_3-0-0_088082_2012-02-05_final
2012-12-07 09:40:24	ga_ls7e_ard_3-0-0_095067_2012-12-07_final
2014-02-12 09:43:37	ga_ls7e_ard_3-1-0_095073_2014-02-12_final
2014-12-29 09:42:55	ga_ls7e_ard_3-0-0_095067_2014-12-29_final
2016-03-21 09:48:56	ga_ls7e_ard_3-1-0_095073_2016-03-21_final
2018-11-06 09:43:31	ga_ls7e_ard_3-1-0_095073_2018-11-06_final
2019-07-04 09:40:54	ga_ls7e_ard_3-0-0_095086_2019-07-04_final
2019-07-20 09:34:41	ga_ls7e_ard_3-0-0_095072_2019-07-20_final
2019-07-20 09:40:16	ga_ls7e_ard_3-0-0_095086_2019-07-20_final
2020-02-29 09:24:41	ga_ls7e_ard_3-1-0_095073_2020-02-28_final
2020-12-13 09:11:51	ga_ls7e_ard_3-1-0_095086_2020-12-12_final
2021-02-18 09:37:06	ga_ls7e_ard_3-2-0_100084_2021-02-18_final
2021-02-20 09:18:12	ga_ls7e_ard_3-2-0_098068_2021-02-19_final
2021-02-20 09:24:11	ga_ls7e_ard_3-2-0_098083_2021-02-19_final
2021-02-20 09:24:59	ga_ls7e_ard_3-2-0_098085_2021-02-19_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-03-06 09:31:05	ga_ls7e_ard_3-2-0_100072_2021-03-06_final
2021-03-08 09:18:10	ga_ls7e_ard_3-2-0_098071_2021-03-07_final
2021-03-11 09:47:38	ga_ls7e_ard_3-2-0_103068_2021-03-11_final
2021-03-12 10:32:48	ga_ls7e_ard_3-2-0_110073_2021-03-12_final
2021-03-15 09:28:35	ga_ls7e_ard_3-2-0_099083_2021-03-14_final
2021-03-16 10:08:58	ga_ls7e_ard_3-2-0_106076_2021-03-16_final
2021-03-24 09:20:05	ga_ls7e_ard_3-2-0_098079_2021-03-23_final
2021-03-30 10:19:24	ga_ls7e_ard_3-2-0_108074_2021-03-30_final
2021-04-04 09:03:26	ga_ls7e_ard_3-2-0_095086_2021-04-03_final
2021-04-06 10:25:00	ga_ls7e_ard_3-2-0_109074_2021-04-06_final
2021-04-12 09:48:37	ga_ls7e_ard_3-2-0_103077_2021-04-12_final
2021-04-20 10:35:47	ga_ls7e_ard_3-2-0_111073_2021-04-20_final
2021-04-27 09:02:06	ga_ls7e_ard_3-2-0_096072_2021-04-26_final
2021-04-29 10:27:39	ga_ls7e_ard_3-2-0_110070_2021-04-29_final
2021-05-01 08:43:02	ga_ls7e_ard_3-2-0_092087_2021-04-30_final
2021-05-04 10:50:34	ga_ls7e_ard_3-2-0_113082_2021-05-04_final
2021-05-12 08:20:23	ga_ls7e_ard_3-2-0_089079_2021-05-11_final
2021-05-13 10:40:26	ga_ls7e_ard_3-2-0_112074_2021-05-13_final
2021-05-15 10:25:07	ga_ls7e_ard_3-2-0_110067_2021-05-15_final
2021-05-19 10:05:15	ga_ls7e_ard_3-2-0_106080_2021-05-19_final
2021-05-24 08:46:28	ga_ls7e_ard_3-2-0_093085_2021-05-23_final
2021-05-31 08:47:16	ga_ls7e_ard_3-2-0_094073_2021-05-30_final
2021-06-11 08:31:25	ga_ls7e_ard_3-2-0_091082_2021-06-10_final
2021-06-13 08:17:42	ga_ls7e_ard_3-2-0_089079_2021-06-12_final
2021-06-20 08:27:18	ga_ls7e_ard_3-2-0_090089_2021-06-19_final
2021-06-28 09:08:05	ga_ls7e_ard_3-2-0_098069_2021-06-27_final
2021-07-02 08:44:38	ga_ls7e_ard_3-2-0_094073_2021-07-01_final
2021-07-05 09:13:17	ga_ls7e_ard_3-2-0_099068_2021-07-04_final
2021-07-06 08:21:10	ga_ls7e_ard_3-2-0_090077_2021-07-05_final
2021-07-13 10:07:13	ga_ls7e_ard_3-2-0_107081_2021-07-13_final
2021-07-14 09:12:19	ga_ls7e_ard_3-2-0_098083_2021-07-13_final
2021-07-21 09:13:06	ga_ls7e_ard_3-2-0_099071_2021-07-20_final
2021-07-22 08:24:59	ga_ls7e_ard_3-2-0_090090_2021-07-21_final
2021-08-11 09:30:36	ga_ls7e_ard_3-2-0_102073_2021-08-11_final
2021-08-14 10:02:01	ga_ls7e_ard_3-2-0_107075_2021-08-14_final
2021-08-16 09:51:53	ga_ls7e_ard_3-2-0_105081_2021-08-16_final
2021-08-26 10:28:54	ga_ls7e_ard_3-2-0_111083_2021-08-26_final
2021-09-01 09:50:54	ga_ls7e_ard_3-2-0_105082_2021-09-01_final
2021-09-11 10:23:31	ga_ls7e_ard_3-2-0_111073_2021-09-11_final
2021-09-15 08:25:09	ga_ls7e_ard_3-2-0_091087_2021-09-14_final
2021-09-16 10:42:00	ga_ls7e_ard_3-2-0_114074_2021-09-16_final
2021-09-17 09:49:29	ga_ls7e_ard_3-2-0_105082_2021-09-17_final
2021-09-19 09:32:58	ga_ls7e_ard_3-2-0_103072_2021-09-19_final
2021-09-27 08:40:48	ga_ls7e_ard_3-2-0_095067_2021-09-26_final
2021-09-29 10:13:56	ga_ls7e_ard_3-2-0_109084_2021-09-29_final
2021-10-04 10:28:03	ga_ls7e_ard_3-2-0_112074_2021-10-04_final
2021-10-17 09:56:48	ga_ls7e_ard_3-2-0_107076_2021-10-17_final
2021-10-26 09:49:48	ga_ls7e_ard_3-2-0_106076_2021-10-26_final
2021-11-02 09:54:55	ga_ls7e_ard_3-2-0_107075_2021-11-02_final
2021-11-03 09:00:01	ga_ls7e_ard_3-2-0_098077_2021-11-02_final
2021-11-07 10:13:23	ga_ls7e_ard_3-2-0_110076_2021-11-07_final
2021-11-20 09:40:25	ga_ls7e_ard_3-2-1_105074_2021-11-20_final
2021-12-04 08:18:10	ga_ls7e_ard_3-2-1_091088_2021-12-03_final
2021-12-13 08:07:33	ga_ls7e_ard_3-2-1_090079_2021-12-12_final
2021-12-17 09:17:44	ga_ls7e_ard_3-2-1_102070_2021-12-16_final
2022-01-17 10:11:07	ga_ls7e_ard_3-2-1_111072_2022-01-17_final
2022-01-18 09:13:49	ga_ls7e_ard_3-2-1_102068_2022-01-17_final
2022-01-18 09:17:48	ga_ls7e_ard_3-2-1_102078_2022-01-17_final
2022-01-19 09:59:22	ga_ls7e_ard_3-2-1_109074_2022-01-19_final
2022-01-22 08:49:06	ga_ls7e_ard_3-2-1_098069_2022-01-21_final
2022-01-29 08:58:35	ga_ls7e_ard_3-2-1_099079_2022-01-28_final
2022-01-29 08:58:59	ga_ls7e_ard_3-2-1_099080_2022-01-28_final
2022-01-31 10:26:30	ga_ls7e_ard_3-2-1_113083_2022-01-31_final
2022-02-11 08:23:35	ga_ls7e_ard_3-2-1_094072_2022-02-10_final
2022-02-18 10:08:19	ga_ls7e_ard_3-2-1_111073_2022-02-18_final
2022-02-22 09:44:01	ga_ls7e_ard_3-2-1_107075_2022-02-22_final
2022-03-06 10:05:59	ga_ls7e_ard_3-2-1_111071_2022-03-06_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_2022-03-19_final
2022-03-22 10:05:12	ga_ls7e_ard_3-2-1_111073_2022-03-22_final
2022-03-31 10:01:46	ga_ls7e_ard_3-2-1_110082_2022-03-31_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