Search ga_ls7e_ard_3 across November 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
2013-11-02 10:19:10	ga_ls7e_ard_3-0-0_101071_2013-11-02_final
2013-11-02 10:19:34	ga_ls7e_ard_3-0-0_101072_2013-11-02_final
2013-11-02 10:19:58	ga_ls7e_ard_3-0-0_101073_2013-11-02_final
2013-11-02 10:20:22	ga_ls7e_ard_3-0-0_101074_2013-11-02_final
2013-11-02 10:20:46	ga_ls7e_ard_3-1-0_101075_2013-11-02_final
2013-11-02 10:21:10	ga_ls7e_ard_3-0-0_101076_2013-11-02_final
2013-11-02 10:21:34	ga_ls7e_ard_3-0-0_101077_2013-11-02_final
2013-11-02 10:21:58	ga_ls7e_ard_3-0-0_101078_2013-11-02_final
2013-11-02 10:22:22	ga_ls7e_ard_3-0-0_101079_2013-11-02_final
2013-11-02 10:22:46	ga_ls7e_ard_3-0-0_101080_2013-11-02_final
2013-11-02 10:23:10	ga_ls7e_ard_3-0-0_101081_2013-11-02_final
2013-11-02 10:23:33	ga_ls7e_ard_3-0-0_101082_2013-11-02_final
2013-11-02 10:23:57	ga_ls7e_ard_3-0-0_101083_2013-11-02_final
2013-11-03 09:25:09	ga_ls7e_ard_3-0-0_092075_2013-11-02_final
2013-11-03 09:25:33	ga_ls7e_ard_3-0-0_092076_2013-11-02_final
2013-11-03 09:25:57	ga_ls7e_ard_3-0-0_092077_2013-11-02_final
2013-11-03 09:26:21	ga_ls7e_ard_3-0-0_092078_2013-11-02_final
2013-11-03 09:26:45	ga_ls7e_ard_3-0-0_092079_2013-11-02_final
2013-11-03 09:27:09	ga_ls7e_ard_3-0-0_092080_2013-11-02_final
2013-11-03 09:27:33	ga_ls7e_ard_3-0-0_092081_2013-11-02_final
2013-11-03 09:28:45	ga_ls7e_ard_3-0-0_092084_2013-11-02_final
2013-11-03 09:29:09	ga_ls7e_ard_3-0-0_092085_2013-11-02_final
2013-11-03 09:29:33	ga_ls7e_ard_3-0-0_092086_2013-11-02_final
2013-11-03 09:30:21	ga_ls7e_ard_3-0-0_092088_2013-11-03_final
2013-11-03 09:30:45	ga_ls7e_ard_3-0-0_092089_2013-11-03_final
2013-11-03 11:01:39	ga_ls7e_ard_3-0-0_108069_2013-11-03_final
2013-11-03 11:02:03	ga_ls7e_ard_3-0-0_108070_2013-11-03_final
2013-11-03 11:02:27	ga_ls7e_ard_3-0-0_108071_2013-11-03_final
2013-11-03 11:02:51	ga_ls7e_ard_3-0-0_108072_2013-11-03_final
2013-11-03 11:03:14	ga_ls7e_ard_3-0-0_108073_2013-11-03_final
2013-11-03 11:03:38	ga_ls7e_ard_3-0-0_108074_2013-11-03_final
2013-11-03 11:04:02	ga_ls7e_ard_3-1-0_108075_2013-11-03_final
2013-11-03 11:04:26	ga_ls7e_ard_3-0-0_108076_2013-11-03_final
2013-11-03 11:04:50	ga_ls7e_ard_3-0-0_108077_2013-11-03_final
2013-11-03 11:05:14	ga_ls7e_ard_3-0-0_108078_2013-11-03_final
2013-11-03 11:05:38	ga_ls7e_ard_3-0-0_108079_2013-11-03_final
2013-11-03 11:06:02	ga_ls7e_ard_3-0-0_108080_2013-11-03_final
2013-11-03 11:06:26	ga_ls7e_ard_3-0-0_108081_2013-11-03_final
2013-11-03 11:06:50	ga_ls7e_ard_3-1-0_108082_2013-11-03_final
2013-11-03 11:07:14	ga_ls7e_ard_3-0-0_108083_2013-11-03_final
2013-11-03 11:07:38	ga_ls7e_ard_3-0-0_108084_2013-11-03_final
2013-11-04 10:05:14	ga_ls7e_ard_3-0-0_099067_2013-11-04_final
2013-11-04 10:05:38	ga_ls7e_ard_3-0-0_099068_2013-11-04_final
2013-11-04 10:06:02	ga_ls7e_ard_3-0-0_099069_2013-11-04_final
2013-11-04 10:06:26	ga_ls7e_ard_3-0-0_099070_2013-11-04_final
2013-11-04 10:06:50	ga_ls7e_ard_3-0-0_099071_2013-11-04_final
2013-11-04 10:07:14	ga_ls7e_ard_3-0-0_099072_2013-11-04_final
2013-11-04 10:07:38	ga_ls7e_ard_3-0-0_099073_2013-11-04_final
2013-11-04 10:08:02	ga_ls7e_ard_3-0-0_099074_2013-11-04_final
2013-11-04 10:08:26	ga_ls7e_ard_3-0-0_099075_2013-11-04_final
2013-11-04 10:08:50	ga_ls7e_ard_3-0-0_099076_2013-11-04_final
2013-11-04 10:09:14	ga_ls7e_ard_3-0-0_099077_2013-11-04_final
2013-11-04 10:09:38	ga_ls7e_ard_3-0-0_099078_2013-11-04_final
2013-11-04 10:10:02	ga_ls7e_ard_3-0-0_099079_2013-11-04_final
2013-11-04 10:10:26	ga_ls7e_ard_3-0-0_099080_2013-11-04_final
2013-11-04 10:10:49	ga_ls7e_ard_3-0-0_099081_2013-11-04_final
2013-11-04 10:11:13	ga_ls7e_ard_3-0-0_099082_2013-11-04_final
2013-11-04 10:11:37	ga_ls7e_ard_3-0-0_099083_2013-11-04_final
2013-11-04 10:12:01	ga_ls7e_ard_3-0-0_099084_2013-11-04_final
2013-11-04 11:46:55	ga_ls7e_ard_3-0-0_115074_2013-11-04_final
2013-11-04 11:47:19	ga_ls7e_ard_3-0-0_115075_2013-11-04_final
2013-11-04 11:47:43	ga_ls7e_ard_3-0-0_115076_2013-11-04_final
2013-11-04 11:48:07	ga_ls7e_ard_3-1-0_115077_2013-11-04_final
2013-11-04 11:48:31	ga_ls7e_ard_3-0-0_115078_2013-11-04_final
2013-11-04 11:48:55	ga_ls7e_ard_3-0-0_115079_2013-11-04_final
2013-11-05 09:13:37	ga_ls7e_ard_3-0-0_090077_2013-11-04_final
2013-11-05 09:14:25	ga_ls7e_ard_3-0-0_090079_2013-11-04_final
2013-11-05 09:14:49	ga_ls7e_ard_3-0-0_090080_2013-11-04_final
2013-11-05 09:15:13	ga_ls7e_ard_3-0-0_090081_2013-11-04_final
2013-11-05 09:15:37	ga_ls7e_ard_3-0-0_090082_2013-11-04_final
2013-11-05 09:16:01	ga_ls7e_ard_3-0-0_090083_2013-11-04_final
2013-11-05 09:16:25	ga_ls7e_ard_3-0-0_090084_2013-11-04_final
2013-11-05 09:16:49	ga_ls7e_ard_3-1-0_090085_2013-11-04_final
2013-11-05 09:17:13	ga_ls7e_ard_3-0-0_090086_2013-11-04_final
2013-11-15 09:47:58	ga_ls7e_ard_3-0-0_096070_2013-11-15_final
2013-11-15 09:48:22	ga_ls7e_ard_3-0-0_096071_2013-11-15_final
2013-11-15 09:48:46	ga_ls7e_ard_3-0-0_096072_2013-11-15_final
2013-11-15 09:49:10	ga_ls7e_ard_3-0-0_096073_2013-11-15_final
2013-11-15 09:49:34	ga_ls7e_ard_3-0-0_096074_2013-11-15_final
2013-11-15 09:49:58	ga_ls7e_ard_3-0-0_096075_2013-11-15_final
2013-11-15 09:50:22	ga_ls7e_ard_3-0-0_096076_2013-11-15_final
2013-11-15 09:50:46	ga_ls7e_ard_3-0-0_096077_2013-11-15_final
2013-11-15 09:51:10	ga_ls7e_ard_3-0-0_096078_2013-11-15_final
2013-11-15 09:51:33	ga_ls7e_ard_3-0-0_096079_2013-11-15_final
2013-11-15 09:51:57	ga_ls7e_ard_3-0-0_096080_2013-11-15_final
2013-11-15 09:52:21	ga_ls7e_ard_3-0-0_096081_2013-11-15_final
2013-11-17 09:34:24	ga_ls7e_ard_3-1-0_094067_2013-11-17_final
2013-11-17 09:36:48	ga_ls7e_ard_3-0-0_094073_2013-11-17_final
2013-11-17 09:37:12	ga_ls7e_ard_3-0-0_094074_2013-11-17_final
2013-11-17 09:37:36	ga_ls7e_ard_3-0-0_094075_2013-11-17_final
2013-11-17 09:38:00	ga_ls7e_ard_3-0-0_094076_2013-11-17_final
2013-11-17 09:38:24	ga_ls7e_ard_3-0-0_094077_2013-11-17_final
2013-11-17 09:38:48	ga_ls7e_ard_3-0-0_094078_2013-11-17_final
2013-11-17 09:39:36	ga_ls7e_ard_3-0-0_094080_2013-11-17_final
2013-11-17 09:40:00	ga_ls7e_ard_3-0-0_094081_2013-11-17_final
2013-11-17 09:40:24	ga_ls7e_ard_3-0-0_094082_2013-11-17_final
2013-11-17 09:40:48	ga_ls7e_ard_3-1-0_094083_2013-11-17_final
2013-11-17 09:41:11	ga_ls7e_ard_3-0-0_094084_2013-11-17_final
2013-11-17 09:41:35	ga_ls7e_ard_3-0-0_094085_2013-11-17_final
2013-11-17 09:41:59	ga_ls7e_ard_3-0-0_094086_2013-11-17_final

Return to ga_ls7e_ard_3 across November 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

November

All days