Search ga_ls7e_ard_3 across October 2014

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
2014-10-18 10:32:16	ga_ls7e_ard_3-0-0_103068_2014-10-18_final
2014-10-18 10:32:40	ga_ls7e_ard_3-0-0_103069_2014-10-18_final
2014-10-18 10:33:04	ga_ls7e_ard_3-0-0_103070_2014-10-18_final
2014-10-18 10:33:28	ga_ls7e_ard_3-0-0_103071_2014-10-18_final
2014-10-18 10:33:52	ga_ls7e_ard_3-0-0_103072_2014-10-18_final
2014-10-18 10:34:16	ga_ls7e_ard_3-0-0_103073_2014-10-18_final
2014-10-18 10:34:40	ga_ls7e_ard_3-0-0_103074_2014-10-18_final
2014-10-18 10:35:04	ga_ls7e_ard_3-0-0_103075_2014-10-18_final
2014-10-18 10:35:28	ga_ls7e_ard_3-0-0_103076_2014-10-18_final
2014-10-18 10:35:52	ga_ls7e_ard_3-0-0_103077_2014-10-18_final
2014-10-18 10:36:15	ga_ls7e_ard_3-0-0_103078_2014-10-18_final
2014-10-18 10:36:39	ga_ls7e_ard_3-0-0_103079_2014-10-18_final
2014-10-18 10:37:03	ga_ls7e_ard_3-0-0_103080_2014-10-18_final
2014-10-18 10:37:27	ga_ls7e_ard_3-0-0_103081_2014-10-18_final
2014-10-18 10:37:51	ga_ls7e_ard_3-0-0_103082_2014-10-18_final
2014-10-19 09:36:16	ga_ls7e_ard_3-1-0_094067_2014-10-19_final
2014-10-19 09:38:39	ga_ls7e_ard_3-0-0_094073_2014-10-19_final
2014-10-19 09:39:03	ga_ls7e_ard_3-0-0_094074_2014-10-19_final
2014-10-19 09:39:27	ga_ls7e_ard_3-0-0_094075_2014-10-19_final
2014-10-19 09:39:51	ga_ls7e_ard_3-0-0_094076_2014-10-19_final
2014-10-19 09:40:15	ga_ls7e_ard_3-0-0_094077_2014-10-19_final
2014-10-19 09:40:39	ga_ls7e_ard_3-0-0_094078_2014-10-19_final
2014-10-19 09:41:03	ga_ls7e_ard_3-0-0_094079_2014-10-19_final
2014-10-19 09:41:27	ga_ls7e_ard_3-0-0_094080_2014-10-19_final
2014-10-19 09:41:51	ga_ls7e_ard_3-0-0_094081_2014-10-19_final
2014-10-19 09:42:15	ga_ls7e_ard_3-0-0_094082_2014-10-19_final
2014-10-19 09:42:39	ga_ls7e_ard_3-1-0_094083_2014-10-19_final
2014-10-19 09:43:03	ga_ls7e_ard_3-0-0_094084_2014-10-19_final
2014-10-19 09:43:27	ga_ls7e_ard_3-0-0_094085_2014-10-19_final
2014-10-19 11:15:09	ga_ls7e_ard_3-0-0_110067_2014-10-19_final
2014-10-20 10:21:08	ga_ls7e_ard_3-0-0_101071_2014-10-20_final
2014-10-20 10:21:32	ga_ls7e_ard_3-0-0_101072_2014-10-20_final
2014-10-20 10:21:56	ga_ls7e_ard_3-0-0_101073_2014-10-20_final
2014-10-20 10:22:20	ga_ls7e_ard_3-0-0_101074_2014-10-20_final
2014-10-20 10:22:44	ga_ls7e_ard_3-1-0_101075_2014-10-20_final
2014-10-20 10:23:08	ga_ls7e_ard_3-0-0_101076_2014-10-20_final
2014-10-20 10:23:32	ga_ls7e_ard_3-0-0_101077_2014-10-20_final
2014-10-20 10:23:56	ga_ls7e_ard_3-0-0_101078_2014-10-20_final
2014-10-20 10:24:19	ga_ls7e_ard_3-0-0_101079_2014-10-20_final
2014-10-20 10:24:43	ga_ls7e_ard_3-0-0_101080_2014-10-20_final
2014-10-20 10:25:07	ga_ls7e_ard_3-0-0_101081_2014-10-20_final
2014-10-20 10:25:31	ga_ls7e_ard_3-0-0_101082_2014-10-20_final
2014-10-20 10:25:55	ga_ls7e_ard_3-0-0_101083_2014-10-20_final
2014-10-21 09:27:07	ga_ls7e_ard_3-0-0_092075_2014-10-20_final
2014-10-21 09:27:31	ga_ls7e_ard_3-0-0_092076_2014-10-20_final
2014-10-21 09:27:55	ga_ls7e_ard_3-0-0_092077_2014-10-20_final
2014-10-21 09:28:19	ga_ls7e_ard_3-0-0_092078_2014-10-20_final
2014-10-21 09:28:43	ga_ls7e_ard_3-0-0_092079_2014-10-20_final
2014-10-21 09:29:07	ga_ls7e_ard_3-0-0_092080_2014-10-20_final
2014-10-21 09:29:31	ga_ls7e_ard_3-0-0_092081_2014-10-20_final
2014-10-21 09:29:55	ga_ls7e_ard_3-1-0_092082_2014-10-20_final
2014-10-21 09:30:19	ga_ls7e_ard_3-0-0_092083_2014-10-21_final
2014-10-21 09:30:43	ga_ls7e_ard_3-0-0_092084_2014-10-21_final
2014-10-21 09:31:07	ga_ls7e_ard_3-0-0_092085_2014-10-21_final
2014-10-21 09:31:31	ga_ls7e_ard_3-0-0_092086_2014-10-21_final
2014-10-21 09:31:54	ga_ls7e_ard_3-0-0_092087_2014-10-21_final
2014-10-21 09:32:18	ga_ls7e_ard_3-0-0_092088_2014-10-21_final
2014-10-21 09:32:42	ga_ls7e_ard_3-0-0_092089_2014-10-21_final
2014-10-21 11:03:37	ga_ls7e_ard_3-0-0_108069_2014-10-21_final
2014-10-21 11:04:00	ga_ls7e_ard_3-0-0_108070_2014-10-21_final
2014-10-21 11:04:24	ga_ls7e_ard_3-0-0_108071_2014-10-21_final
2014-10-21 11:04:48	ga_ls7e_ard_3-0-0_108072_2014-10-21_final
2014-10-21 11:05:12	ga_ls7e_ard_3-0-0_108073_2014-10-21_final
2014-10-21 11:05:36	ga_ls7e_ard_3-0-0_108074_2014-10-21_final
2014-10-21 11:06:00	ga_ls7e_ard_3-1-0_108075_2014-10-21_final
2014-10-21 11:06:24	ga_ls7e_ard_3-0-0_108076_2014-10-21_final
2014-10-21 11:06:48	ga_ls7e_ard_3-0-0_108077_2014-10-21_final
2014-10-21 11:07:12	ga_ls7e_ard_3-0-0_108078_2014-10-21_final
2014-10-21 11:07:36	ga_ls7e_ard_3-0-0_108079_2014-10-21_final
2014-10-21 11:08:00	ga_ls7e_ard_3-0-0_108080_2014-10-21_final
2014-10-21 11:08:24	ga_ls7e_ard_3-0-0_108081_2014-10-21_final
2014-10-21 11:08:48	ga_ls7e_ard_3-0-0_108082_2014-10-21_final
2014-10-21 11:09:12	ga_ls7e_ard_3-0-0_108083_2014-10-21_final
2014-10-21 11:09:36	ga_ls7e_ard_3-0-0_108084_2014-10-21_final
2014-10-31 10:01:06	ga_ls7e_ard_3-0-0_098067_2014-10-31_final
2014-10-31 10:01:30	ga_ls7e_ard_3-0-0_098068_2014-10-31_final
2014-10-31 10:01:54	ga_ls7e_ard_3-0-0_098069_2014-10-31_final
2014-10-31 10:02:18	ga_ls7e_ard_3-0-0_098070_2014-10-31_final
2014-10-31 10:02:42	ga_ls7e_ard_3-0-0_098071_2014-10-31_final
2014-10-31 10:03:06	ga_ls7e_ard_3-0-0_098072_2014-10-31_final
2014-10-31 10:03:29	ga_ls7e_ard_3-0-0_098073_2014-10-31_final
2014-10-31 10:03:53	ga_ls7e_ard_3-0-0_098074_2014-10-31_final
2014-10-31 10:04:17	ga_ls7e_ard_3-0-0_098075_2014-10-31_final
2014-10-31 10:04:41	ga_ls7e_ard_3-0-0_098076_2014-10-31_final
2014-10-31 10:05:05	ga_ls7e_ard_3-0-0_098077_2014-10-31_final
2014-10-31 10:05:29	ga_ls7e_ard_3-0-0_098078_2014-10-31_final
2014-10-31 10:05:53	ga_ls7e_ard_3-0-0_098079_2014-10-31_final
2014-10-31 10:06:17	ga_ls7e_ard_3-0-0_098080_2014-10-31_final
2014-10-31 10:06:41	ga_ls7e_ard_3-0-0_098081_2014-10-31_final
2014-10-31 10:07:05	ga_ls7e_ard_3-0-0_098082_2014-10-31_final
2014-10-31 10:07:29	ga_ls7e_ard_3-0-0_098083_2014-10-31_final
2014-10-31 10:07:53	ga_ls7e_ard_3-0-0_098084_2014-10-31_final
2014-10-31 10:08:17	ga_ls7e_ard_3-0-0_098085_2014-10-31_final
2014-10-31 11:39:59	ga_ls7e_ard_3-0-0_114067_2014-10-31_final
2014-10-31 11:42:47	ga_ls7e_ard_3-0-0_114074_2014-10-31_final
2014-10-31 11:43:10	ga_ls7e_ard_3-0-0_114075_2014-10-31_final
2014-10-31 11:43:34	ga_ls7e_ard_3-0-0_114076_2014-10-31_final
2014-10-31 11:43:58	ga_ls7e_ard_3-0-0_114077_2014-10-31_final
2014-10-31 11:44:22	ga_ls7e_ard_3-0-0_114078_2014-10-31_final
2014-10-31 11:44:46	ga_ls7e_ard_3-0-0_114079_2014-10-31_final

Return to ga_ls7e_ard_3 across October 2014 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

2014

October

All days