Search ga_ls7e_ard_3 across October 2015

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
2015-10-10 09:17:35	ga_ls7e_ard_3-0-0_090077_2015-10-09_final
2015-10-10 09:17:59	ga_ls7e_ard_3-0-0_090078_2015-10-09_final
2015-10-10 09:18:23	ga_ls7e_ard_3-0-0_090079_2015-10-09_final
2015-10-10 09:18:47	ga_ls7e_ard_3-0-0_090080_2015-10-09_final
2015-10-10 09:19:11	ga_ls7e_ard_3-0-0_090081_2015-10-09_final
2015-10-10 09:19:35	ga_ls7e_ard_3-0-0_090082_2015-10-09_final
2015-10-10 09:19:59	ga_ls7e_ard_3-0-0_090083_2015-10-09_final
2015-10-10 09:20:23	ga_ls7e_ard_3-0-0_090084_2015-10-09_final
2015-10-10 09:20:47	ga_ls7e_ard_3-1-0_090085_2015-10-09_final
2015-10-10 09:21:11	ga_ls7e_ard_3-0-0_090086_2015-10-09_final
2015-10-10 09:21:59	ga_ls7e_ard_3-0-0_090088_2015-10-09_final
2015-10-10 09:22:23	ga_ls7e_ard_3-0-0_090089_2015-10-09_final
2015-10-10 09:22:47	ga_ls7e_ard_3-0-0_090090_2015-10-09_final
2015-10-11 09:57:41	ga_ls7e_ard_3-0-0_097069_2015-10-11_final
2015-10-11 09:58:05	ga_ls7e_ard_3-0-0_097070_2015-10-11_final
2015-10-11 09:58:29	ga_ls7e_ard_3-0-0_097071_2015-10-11_final
2015-10-11 09:58:53	ga_ls7e_ard_3-0-0_097072_2015-10-11_final
2015-10-11 09:59:17	ga_ls7e_ard_3-0-0_097073_2015-10-11_final
2015-10-11 09:59:41	ga_ls7e_ard_3-0-0_097074_2015-10-11_final
2015-10-11 10:00:05	ga_ls7e_ard_3-0-0_097075_2015-10-11_final
2015-10-11 10:00:29	ga_ls7e_ard_3-1-0_097076_2015-10-11_final
2015-10-11 10:00:52	ga_ls7e_ard_3-0-0_097077_2015-10-11_final
2015-10-11 10:01:16	ga_ls7e_ard_3-0-0_097078_2015-10-11_final
2015-10-11 10:01:40	ga_ls7e_ard_3-0-0_097079_2015-10-11_final
2015-10-11 10:02:04	ga_ls7e_ard_3-0-0_097080_2015-10-11_final
2015-10-11 10:02:28	ga_ls7e_ard_3-0-0_097081_2015-10-11_final
2015-10-11 10:02:52	ga_ls7e_ard_3-0-0_097082_2015-10-11_final
2015-10-11 10:03:16	ga_ls7e_ard_3-0-0_097083_2015-10-11_final
2015-10-11 10:03:40	ga_ls7e_ard_3-0-0_097084_2015-10-11_final
2015-10-17 09:27:30	ga_ls7e_ard_3-1-0_091086_2015-10-16_final
2015-10-17 09:27:54	ga_ls7e_ard_3-0-0_091087_2015-10-16_final
2015-10-17 09:28:18	ga_ls7e_ard_3-0-0_091088_2015-10-16_final
2015-10-17 09:28:42	ga_ls7e_ard_3-0-0_091089_2015-10-16_final
2015-10-17 11:00:00	ga_ls7e_ard_3-0-0_107070_2015-10-17_final
2015-10-17 11:00:24	ga_ls7e_ard_3-0-0_107071_2015-10-17_final
2015-10-17 11:00:48	ga_ls7e_ard_3-0-0_107072_2015-10-17_final
2015-10-17 11:01:12	ga_ls7e_ard_3-0-0_107073_2015-10-17_final
2015-10-17 11:01:36	ga_ls7e_ard_3-0-0_107074_2015-10-17_final
2015-10-17 11:02:00	ga_ls7e_ard_3-0-0_107075_2015-10-17_final
2015-10-17 11:02:24	ga_ls7e_ard_3-0-0_107076_2015-10-17_final
2015-10-17 11:02:48	ga_ls7e_ard_3-0-0_107077_2015-10-17_final
2015-10-17 11:03:12	ga_ls7e_ard_3-0-0_107078_2015-10-17_final
2015-10-17 11:03:36	ga_ls7e_ard_3-0-0_107079_2015-10-17_final
2015-10-17 11:04:00	ga_ls7e_ard_3-0-0_107080_2015-10-17_final
2015-10-17 11:04:24	ga_ls7e_ard_3-0-0_107081_2015-10-17_final
2015-10-17 11:04:48	ga_ls7e_ard_3-0-0_107082_2015-10-17_final
2015-10-17 11:05:12	ga_ls7e_ard_3-0-0_107083_2015-10-17_final
2015-10-17 11:05:35	ga_ls7e_ard_3-0-0_107084_2015-10-17_final
2015-10-18 10:03:12	ga_ls7e_ard_3-0-0_098067_2015-10-18_final
2015-10-18 10:03:36	ga_ls7e_ard_3-0-0_098068_2015-10-18_final
2015-10-18 10:04:00	ga_ls7e_ard_3-0-0_098069_2015-10-18_final
2015-10-18 10:04:24	ga_ls7e_ard_3-0-0_098070_2015-10-18_final
2015-10-18 10:04:48	ga_ls7e_ard_3-0-0_098071_2015-10-18_final
2015-10-18 10:05:12	ga_ls7e_ard_3-0-0_098072_2015-10-18_final
2015-10-18 10:05:36	ga_ls7e_ard_3-0-0_098073_2015-10-18_final
2015-10-18 10:06:00	ga_ls7e_ard_3-0-0_098074_2015-10-18_final
2015-10-18 10:06:24	ga_ls7e_ard_3-0-0_098075_2015-10-18_final
2015-10-18 10:06:48	ga_ls7e_ard_3-0-0_098076_2015-10-18_final
2015-10-18 10:07:12	ga_ls7e_ard_3-0-0_098077_2015-10-18_final
2015-10-18 10:07:36	ga_ls7e_ard_3-0-0_098078_2015-10-18_final
2015-10-18 10:07:59	ga_ls7e_ard_3-0-0_098079_2015-10-18_final
2015-10-18 10:08:23	ga_ls7e_ard_3-1-0_098080_2015-10-18_final
2015-10-18 10:08:47	ga_ls7e_ard_3-0-0_098081_2015-10-18_final
2015-10-18 10:09:11	ga_ls7e_ard_3-0-0_098082_2015-10-18_final
2015-10-18 10:09:35	ga_ls7e_ard_3-0-0_098083_2015-10-18_final
2015-10-18 10:09:59	ga_ls7e_ard_3-0-0_098084_2015-10-18_final
2015-10-18 10:10:23	ga_ls7e_ard_3-0-0_098085_2015-10-18_final
2015-10-18 11:42:05	ga_ls7e_ard_3-0-0_114067_2015-10-18_final
2015-10-18 11:44:53	ga_ls7e_ard_3-0-0_114074_2015-10-18_final
2015-10-18 11:45:17	ga_ls7e_ard_3-0-0_114075_2015-10-18_final
2015-10-18 11:45:41	ga_ls7e_ard_3-0-0_114076_2015-10-18_final
2015-10-18 11:46:05	ga_ls7e_ard_3-0-0_114077_2015-10-18_final
2015-10-18 11:46:29	ga_ls7e_ard_3-0-0_114078_2015-10-18_final
2015-10-18 11:46:53	ga_ls7e_ard_3-0-0_114079_2015-10-18_final
2015-10-18 11:47:17	ga_ls7e_ard_3-0-0_114080_2015-10-18_final
2015-10-19 09:11:59	ga_ls7e_ard_3-0-0_089078_2015-10-18_final
2015-10-19 09:12:23	ga_ls7e_ard_3-0-0_089079_2015-10-18_final
2015-10-19 09:12:47	ga_ls7e_ard_3-0-0_089080_2015-10-18_final
2015-10-19 09:13:11	ga_ls7e_ard_3-1-0_089081_2015-10-18_final
2015-10-19 09:13:35	ga_ls7e_ard_3-0-0_089082_2015-10-18_final
2015-10-19 09:13:59	ga_ls7e_ard_3-0-0_089083_2015-10-18_final
2015-10-19 09:14:23	ga_ls7e_ard_3-0-0_089084_2015-10-18_final
2015-10-19 09:14:47	ga_ls7e_ard_3-0-0_089085_2015-10-18_final
2015-10-19 09:15:11	ga_ls7e_ard_3-0-0_089086_2015-10-18_final
2015-10-19 09:16:23	ga_ls7e_ard_3-1-0_089089_2015-10-18_final
2015-10-19 09:16:47	ga_ls7e_ard_3-0-0_089090_2015-10-18_final
2015-10-19 10:46:53	ga_ls7e_ard_3-0-0_105068_2015-10-19_final
2015-10-19 10:47:17	ga_ls7e_ard_3-0-0_105069_2015-10-19_final
2015-10-19 10:47:41	ga_ls7e_ard_3-0-0_105070_2015-10-19_final
2015-10-19 10:48:05	ga_ls7e_ard_3-0-0_105071_2015-10-19_final
2015-10-19 10:48:29	ga_ls7e_ard_3-0-0_105072_2015-10-19_final
2015-10-19 10:48:53	ga_ls7e_ard_3-0-0_105073_2015-10-19_final
2015-10-19 10:49:17	ga_ls7e_ard_3-0-0_105074_2015-10-19_final
2015-10-19 10:49:40	ga_ls7e_ard_3-0-0_105075_2015-10-19_final
2015-10-19 10:50:04	ga_ls7e_ard_3-0-0_105076_2015-10-19_final
2015-10-19 10:50:28	ga_ls7e_ard_3-0-0_105077_2015-10-19_final
2015-10-19 10:51:16	ga_ls7e_ard_3-0-0_105079_2015-10-19_final
2015-10-19 10:51:40	ga_ls7e_ard_3-1-0_105080_2015-10-19_final
2015-10-19 10:52:04	ga_ls7e_ard_3-0-0_105081_2015-10-19_final
2015-10-19 10:52:28	ga_ls7e_ard_3-0-0_105082_2015-10-19_final

Return to ga_ls7e_ard_3 across October 2015 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

2015

October

All days