Search ga_ls7e_ard_3 across May 2013

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
2013-05-12 10:05:00	ga_ls7e_ard_3-0-0_099067_2013-05-12_final
2013-05-12 10:05:24	ga_ls7e_ard_3-0-0_099068_2013-05-12_final
2013-05-12 10:05:48	ga_ls7e_ard_3-0-0_099069_2013-05-12_final
2013-05-12 10:06:12	ga_ls7e_ard_3-0-0_099070_2013-05-12_final
2013-05-12 10:06:36	ga_ls7e_ard_3-0-0_099071_2013-05-12_final
2013-05-12 10:07:00	ga_ls7e_ard_3-0-0_099072_2013-05-12_final
2013-05-12 10:07:24	ga_ls7e_ard_3-0-0_099073_2013-05-12_final
2013-05-12 10:07:48	ga_ls7e_ard_3-0-0_099074_2013-05-12_final
2013-05-12 10:08:12	ga_ls7e_ard_3-0-0_099075_2013-05-12_final
2013-05-12 10:08:35	ga_ls7e_ard_3-0-0_099076_2013-05-12_final
2013-05-12 10:08:59	ga_ls7e_ard_3-0-0_099077_2013-05-12_final
2013-05-12 10:10:35	ga_ls7e_ard_3-0-0_099081_2013-05-12_final
2013-05-12 10:10:59	ga_ls7e_ard_3-0-0_099082_2013-05-12_final
2013-05-12 10:11:23	ga_ls7e_ard_3-0-0_099083_2013-05-12_final
2013-05-12 10:11:47	ga_ls7e_ard_3-0-0_099084_2013-05-12_final
2013-05-12 10:12:11	ga_ls7e_ard_3-1-0_099085_2013-05-12_final
2013-05-12 11:46:41	ga_ls7e_ard_3-0-0_115074_2013-05-12_final
2013-05-12 11:47:05	ga_ls7e_ard_3-0-0_115075_2013-05-12_final
2013-05-12 11:47:29	ga_ls7e_ard_3-0-0_115076_2013-05-12_final
2013-05-12 11:47:53	ga_ls7e_ard_3-1-0_115077_2013-05-12_final
2013-05-12 11:48:16	ga_ls7e_ard_3-0-0_115078_2013-05-12_final
2013-05-12 11:48:40	ga_ls7e_ard_3-0-0_115079_2013-05-12_final
2013-05-13 09:13:22	ga_ls7e_ard_3-0-0_090077_2013-05-12_final
2013-05-13 09:13:46	ga_ls7e_ard_3-0-0_090078_2013-05-12_final
2013-05-13 09:14:10	ga_ls7e_ard_3-0-0_090079_2013-05-12_final
2013-05-13 09:14:34	ga_ls7e_ard_3-0-0_090080_2013-05-12_final
2013-05-13 09:14:58	ga_ls7e_ard_3-0-0_090081_2013-05-12_final
2013-05-13 09:15:22	ga_ls7e_ard_3-0-0_090082_2013-05-12_final
2013-05-13 09:15:46	ga_ls7e_ard_3-0-0_090083_2013-05-12_final
2013-05-13 09:18:10	ga_ls7e_ard_3-0-0_090089_2013-05-12_final
2013-05-13 09:18:34	ga_ls7e_ard_3-0-0_090090_2013-05-12_final
2013-05-13 10:48:40	ga_ls7e_ard_3-0-0_106068_2013-05-13_final
2013-05-13 10:49:04	ga_ls7e_ard_3-0-0_106069_2013-05-13_final
2013-05-13 10:49:28	ga_ls7e_ard_3-0-0_106070_2013-05-13_final
2013-05-13 10:49:52	ga_ls7e_ard_3-0-0_106071_2013-05-13_final
2013-05-13 10:50:39	ga_ls7e_ard_3-0-0_106073_2013-05-13_final
2013-05-13 10:51:27	ga_ls7e_ard_3-1-0_106075_2013-05-13_final
2013-05-13 10:51:51	ga_ls7e_ard_3-0-0_106076_2013-05-13_final
2013-05-13 10:52:15	ga_ls7e_ard_3-0-0_106077_2013-05-13_final
2013-05-13 10:52:39	ga_ls7e_ard_3-0-0_106078_2013-05-13_final
2013-05-13 10:53:27	ga_ls7e_ard_3-0-0_106080_2013-05-13_final
2013-05-13 10:53:51	ga_ls7e_ard_3-0-0_106081_2013-05-13_final
2013-05-13 10:54:15	ga_ls7e_ard_3-0-0_106082_2013-05-13_final
2013-05-14 09:53:50	ga_ls7e_ard_3-0-0_097070_2013-05-14_final
2013-05-14 09:54:14	ga_ls7e_ard_3-0-0_097071_2013-05-14_final
2013-05-14 09:54:38	ga_ls7e_ard_3-0-0_097072_2013-05-14_final
2013-05-14 09:55:02	ga_ls7e_ard_3-0-0_097073_2013-05-14_final
2013-05-14 09:55:50	ga_ls7e_ard_3-0-0_097075_2013-05-14_final
2013-05-14 09:56:14	ga_ls7e_ard_3-1-0_097076_2013-05-14_final
2013-05-14 09:56:38	ga_ls7e_ard_3-0-0_097077_2013-05-14_final
2013-05-14 09:57:02	ga_ls7e_ard_3-0-0_097078_2013-05-14_final
2013-05-14 09:57:26	ga_ls7e_ard_3-0-0_097079_2013-05-14_final
2013-05-14 09:57:50	ga_ls7e_ard_3-0-0_097080_2013-05-14_final
2013-05-14 09:58:14	ga_ls7e_ard_3-0-0_097081_2013-05-14_final
2013-05-14 09:58:38	ga_ls7e_ard_3-0-0_097082_2013-05-14_final
2013-05-14 09:59:02	ga_ls7e_ard_3-0-0_097083_2013-05-14_final
2013-05-14 09:59:26	ga_ls7e_ard_3-0-0_097084_2013-05-14_final
2013-05-14 09:59:49	ga_ls7e_ard_3-0-0_097085_2013-05-14_final
2013-05-14 11:31:32	ga_ls7e_ard_3-0-0_113067_2013-05-14_final
2013-05-14 11:36:43	ga_ls7e_ard_3-0-0_113080_2013-05-14_final
2013-05-14 11:37:07	ga_ls7e_ard_3-0-0_113081_2013-05-14_final
2013-05-14 11:37:31	ga_ls7e_ard_3-0-0_113082_2013-05-14_final
2013-05-14 11:37:55	ga_ls7e_ard_3-0-0_113083_2013-05-14_final
2013-05-14 11:38:19	ga_ls7e_ard_3-0-0_113084_2013-05-14_final
2013-05-15 09:02:12	ga_ls7e_ard_3-0-0_088080_2013-05-14_final
2013-05-15 09:02:36	ga_ls7e_ard_3-0-0_088081_2013-05-14_final
2013-05-15 09:03:00	ga_ls7e_ard_3-0-0_088082_2013-05-14_final
2013-05-15 10:36:18	ga_ls7e_ard_3-0-0_104068_2013-05-15_final
2013-05-15 10:36:42	ga_ls7e_ard_3-0-0_104069_2013-05-15_final
2013-05-15 10:37:06	ga_ls7e_ard_3-1-0_104070_2013-05-15_final
2013-05-15 10:37:30	ga_ls7e_ard_3-0-0_104071_2013-05-15_final
2013-05-15 10:37:54	ga_ls7e_ard_3-0-0_104072_2013-05-15_final
2013-05-15 10:40:18	ga_ls7e_ard_3-0-0_104078_2013-05-15_final
2013-05-15 10:40:41	ga_ls7e_ard_3-0-0_104079_2013-05-15_final
2013-05-15 10:41:05	ga_ls7e_ard_3-0-0_104080_2013-05-15_final
2013-05-15 10:41:29	ga_ls7e_ard_3-0-0_104081_2013-05-15_final
2013-05-16 09:40:17	ga_ls7e_ard_3-0-0_095067_2013-05-16_final
2013-05-16 09:42:17	ga_ls7e_ard_3-0-0_095072_2013-05-16_final
2013-05-16 09:42:40	ga_ls7e_ard_3-1-0_095073_2013-05-16_final
2013-05-18 09:30:43	ga_ls7e_ard_3-0-0_093074_2013-05-18_final
2013-05-18 09:31:06	ga_ls7e_ard_3-0-0_093075_2013-05-18_final
2013-05-18 09:31:30	ga_ls7e_ard_3-0-0_093076_2013-05-18_final
2013-05-18 09:31:54	ga_ls7e_ard_3-0-0_093077_2013-05-18_final
2013-05-18 09:32:18	ga_ls7e_ard_3-0-0_093078_2013-05-18_final
2013-05-18 09:32:42	ga_ls7e_ard_3-0-0_093079_2013-05-18_final
2013-05-18 09:33:06	ga_ls7e_ard_3-0-0_093080_2013-05-18_final
2013-05-20 09:19:08	ga_ls7e_ard_3-0-0_091076_2013-05-19_final
2013-05-20 09:19:32	ga_ls7e_ard_3-0-0_091077_2013-05-19_final
2013-05-20 09:19:56	ga_ls7e_ard_3-0-0_091078_2013-05-19_final
2013-05-20 09:20:20	ga_ls7e_ard_3-0-0_091079_2013-05-19_final
2013-05-20 09:20:44	ga_ls7e_ard_3-0-0_091080_2013-05-19_final
2013-05-20 09:21:08	ga_ls7e_ard_3-0-0_091081_2013-05-19_final
2013-05-20 09:21:32	ga_ls7e_ard_3-0-0_091082_2013-05-19_final
2013-05-20 09:21:56	ga_ls7e_ard_3-0-0_091083_2013-05-19_final
2013-05-20 09:22:20	ga_ls7e_ard_3-0-0_091084_2013-05-19_final
2013-05-20 09:22:44	ga_ls7e_ard_3-0-0_091085_2013-05-19_final
2013-05-20 09:23:08	ga_ls7e_ard_3-1-0_091086_2013-05-19_final
2013-05-20 09:23:32	ga_ls7e_ard_3-0-0_091087_2013-05-19_final
2013-05-20 09:23:56	ga_ls7e_ard_3-0-0_091088_2013-05-19_final
2013-05-20 09:24:20	ga_ls7e_ard_3-0-0_091089_2013-05-19_final

Return to ga_ls7e_ard_3 across May 2013 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

2013

May

All days