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

54 results

Time (local)	Label
2000-04-30 10:54:04	ga_ls7e_ard_3-0-0_107075_2000-04-30_final
2000-05-07 10:59:44	ga_ls7e_ard_3-0-0_108074_2000-05-07_final
2000-06-08 10:59:23	ga_ls7e_ard_3-0-0_108074_2000-06-08_final
2000-09-03 11:04:33	ga_ls7e_ard_3-0-0_109074_2000-09-03_final
2001-01-25 11:04:15	ga_ls7e_ard_3-0-0_109074_2001-01-25_final
2001-01-27 10:52:17	ga_ls7e_ard_3-0-0_107075_2001-01-27_final
2001-03-07 10:57:53	ga_ls7e_ard_3-0-0_108074_2001-03-07_final
2001-03-25 10:46:10	ga_ls7e_ard_3-0-0_106076_2001-03-25_final
2001-05-26 10:55:22	ga_ls7e_ard_3-0-0_108069_2001-05-26_final
2001-11-27 10:50:19	ga_ls7e_ard_3-0-0_107075_2001-11-27_final
2002-01-14 10:50:56	ga_ls7e_ard_3-0-0_107076_2002-01-14_final
2002-05-22 10:50:28	ga_ls7e_ard_3-0-0_107075_2002-05-22_final
2002-12-05 11:08:34	ga_ls7e_ard_3-0-0_110075_2002-12-05_final
2003-04-14 10:56:18	ga_ls7e_ard_3-0-0_108074_2003-04-14_final
2003-04-16 10:44:20	ga_ls7e_ard_3-1-0_106075_2003-04-16_final
2003-06-01 09:18:33	ga_ls7e_ard_3-0-0_092077_2003-05-31_final
2003-08-05 10:02:18	ga_ls7e_ard_3-0-0_099079_2003-08-05_final
2003-08-29 10:50:07	ga_ls7e_ard_3-0-0_107075_2003-08-29_final
2004-02-05 10:51:16	ga_ls7e_ard_3-0-0_107076_2004-02-05_final
2004-08-13 11:02:32	ga_ls7e_ard_3-0-0_109074_2004-08-13_final
2004-08-22 09:22:14	ga_ls7e_ard_3-0-0_092086_2004-08-21_final
2004-10-25 10:56:19	ga_ls7e_ard_3-0-0_108074_2004-10-25_final
2006-06-02 09:18:31	ga_ls7e_ard_3-1-0_091089_2006-06-01_final
2006-07-28 10:00:25	ga_ls7e_ard_3-0-0_099071_2006-07-28_final
2006-12-02 10:55:38	ga_ls7e_ard_3-0-0_108069_2006-12-02_final
2006-12-11 10:51:55	ga_ls7e_ard_3-0-0_107075_2006-12-11_final
2006-12-12 09:58:18	ga_ls7e_ard_3-0-0_098080_2006-12-12_final
2007-03-09 10:04:26	ga_ls7e_ard_3-0-0_099079_2007-03-09_final
2007-03-13 11:18:36	ga_ls7e_ard_3-0-0_111079_2007-03-13_final
2007-04-10 10:04:02	ga_ls7e_ard_3-0-0_099078_2007-04-10_final
2007-05-28 10:03:47	ga_ls7e_ard_3-0-0_099078_2007-05-28_final
2007-07-14 10:55:45	ga_ls7e_ard_3-0-0_108069_2007-07-14_final
2007-08-16 11:42:02	ga_ls7e_ard_3-1-0_115077_2007-08-16_final
2007-10-19 10:03:21	ga_ls7e_ard_3-0-0_099078_2007-10-19_final
2010-01-20 10:53:21	ga_ls7e_ard_3-0-0_107075_2010-01-20_final
2010-07-04 11:15:42	ga_ls7e_ard_3-0-0_110083_2010-07-04_final
2010-08-07 09:27:15	ga_ls7e_ard_3-1-0_092090_2010-08-06_final
2011-11-23 10:55:26	ga_ls7e_ard_3-0-0_107075_2011-11-23_final
2017-10-11 11:22:56	ga_ls7e_ard_3-0-0_110075_2017-10-11_final
2018-07-13 10:12:41	ga_ls7e_ard_3-0-0_099078_2018-07-13_final
2018-08-15 09:21:16	ga_ls7e_ard_3-0-0_090090_2018-08-14_final
2019-07-04 11:18:11	ga_ls7e_ard_3-1-0_111082_2019-07-04_final
2020-06-01 08:53:11	ga_ls7e_ard_3-1-0_090085_2020-05-31_final
2020-07-02 09:44:11	ga_ls7e_ard_3-1-0_099078_2020-07-02_final
2020-07-10 08:57:51	ga_ls7e_ard_3-1-0_091087_2020-07-09_final
2020-07-17 09:04:24	ga_ls7e_ard_3-1-0_092089_2020-07-16_final
2020-07-26 08:57:40	ga_ls7e_ard_3-1-0_091089_2020-07-25_final
2021-01-18 10:17:04	ga_ls7e_ard_3-1-0_107070_2021-01-18_final
2021-02-11 09:31:03	ga_ls7e_ard_3-2-0_099083_2021-02-11_final
2021-02-21 10:01:23	ga_ls7e_ard_3-2-0_105068_2021-02-21_final
2021-07-18 08:48:51	ga_ls7e_ard_3-2-0_094087_2021-07-17_final
2022-01-19 08:26:05	ga_ls7e_ard_3-2-1_093088_2022-01-18_final
2022-02-09 10:19:01	ga_ls7e_ard_3-2-1_112082_2022-02-09_final
2022-03-27 08:43:12	ga_ls7e_ard_3-2-1_098070_2022-03-26_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