Search ga_ls7e_ard_3 across January 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
2015-01-02 09:21:48	ga_ls7e_ard_3-0-0_091076_2015-01-01_final
2015-01-02 09:22:59	ga_ls7e_ard_3-0-0_091079_2015-01-01_final
2015-01-02 09:24:11	ga_ls7e_ard_3-0-0_091082_2015-01-01_final
2015-01-02 09:24:35	ga_ls7e_ard_3-0-0_091083_2015-01-01_final
2015-01-02 09:24:59	ga_ls7e_ard_3-0-0_091084_2015-01-01_final
2015-01-02 09:25:23	ga_ls7e_ard_3-0-0_091085_2015-01-01_final
2015-01-02 09:25:47	ga_ls7e_ard_3-1-0_091086_2015-01-01_final
2015-01-02 09:26:11	ga_ls7e_ard_3-0-0_091087_2015-01-01_final
2015-01-02 09:26:35	ga_ls7e_ard_3-0-0_091088_2015-01-01_final
2015-01-02 09:26:59	ga_ls7e_ard_3-0-0_091089_2015-01-01_final
2015-01-02 09:27:23	ga_ls7e_ard_3-0-0_091090_2015-01-01_final
2015-01-03 10:01:28	ga_ls7e_ard_3-0-0_098067_2015-01-03_final
2015-01-03 10:01:52	ga_ls7e_ard_3-0-0_098068_2015-01-03_final
2015-01-03 10:02:16	ga_ls7e_ard_3-0-0_098069_2015-01-03_final
2015-01-03 10:02:40	ga_ls7e_ard_3-0-0_098070_2015-01-03_final
2015-01-03 10:03:04	ga_ls7e_ard_3-0-0_098071_2015-01-03_final
2015-01-03 10:05:28	ga_ls7e_ard_3-0-0_098077_2015-01-03_final
2015-01-03 10:05:52	ga_ls7e_ard_3-0-0_098078_2015-01-03_final
2015-01-03 10:06:16	ga_ls7e_ard_3-0-0_098079_2015-01-03_final
2015-01-03 10:06:40	ga_ls7e_ard_3-0-0_098080_2015-01-03_final
2015-01-17 10:17:52	ga_ls7e_ard_3-0-0_100077_2015-01-17_final
2015-01-17 10:18:15	ga_ls7e_ard_3-0-0_100078_2015-01-17_final
2015-01-17 10:18:39	ga_ls7e_ard_3-0-0_100079_2015-01-17_final
2015-01-17 10:19:03	ga_ls7e_ard_3-0-0_100080_2015-01-17_final
2015-01-17 10:19:27	ga_ls7e_ard_3-0-0_100081_2015-01-17_final
2015-01-17 10:19:51	ga_ls7e_ard_3-0-0_100082_2015-01-17_final
2015-01-17 10:20:15	ga_ls7e_ard_3-0-0_100083_2015-01-17_final
2015-01-17 10:20:39	ga_ls7e_ard_3-0-0_100084_2015-01-17_final
2015-01-18 09:21:50	ga_ls7e_ard_3-0-0_091076_2015-01-17_final
2015-01-18 09:22:14	ga_ls7e_ard_3-0-0_091077_2015-01-17_final
2015-01-18 09:22:38	ga_ls7e_ard_3-0-0_091078_2015-01-17_final
2015-01-18 09:23:02	ga_ls7e_ard_3-0-0_091079_2015-01-17_final
2015-01-18 09:23:26	ga_ls7e_ard_3-0-0_091080_2015-01-17_final
2015-01-18 09:23:50	ga_ls7e_ard_3-0-0_091081_2015-01-17_final
2015-01-18 09:24:14	ga_ls7e_ard_3-0-0_091082_2015-01-17_final
2015-01-18 09:24:38	ga_ls7e_ard_3-0-0_091083_2015-01-17_final
2015-01-18 09:25:02	ga_ls7e_ard_3-0-0_091084_2015-01-17_final
2015-01-18 09:25:26	ga_ls7e_ard_3-0-0_091085_2015-01-17_final
2015-01-18 09:25:49	ga_ls7e_ard_3-1-0_091086_2015-01-17_final
2015-01-18 09:26:37	ga_ls7e_ard_3-0-0_091088_2015-01-17_final
2015-01-18 09:27:01	ga_ls7e_ard_3-0-0_091089_2015-01-17_final
2015-01-18 09:27:25	ga_ls7e_ard_3-0-0_091090_2015-01-17_final
2015-01-18 10:58:19	ga_ls7e_ard_3-0-0_107070_2015-01-18_final
2015-01-18 11:00:19	ga_ls7e_ard_3-0-0_107075_2015-01-18_final
2015-01-18 11:00:43	ga_ls7e_ard_3-0-0_107076_2015-01-18_final
2015-01-18 11:01:07	ga_ls7e_ard_3-0-0_107077_2015-01-18_final
2015-01-18 11:01:31	ga_ls7e_ard_3-0-0_107078_2015-01-18_final
2015-01-18 11:01:55	ga_ls7e_ard_3-0-0_107079_2015-01-18_final
2015-01-18 11:02:19	ga_ls7e_ard_3-0-0_107080_2015-01-18_final
2015-01-19 10:01:30	ga_ls7e_ard_3-0-0_098067_2015-01-19_final
2015-01-19 10:01:54	ga_ls7e_ard_3-0-0_098068_2015-01-19_final
2015-01-19 10:02:18	ga_ls7e_ard_3-0-0_098069_2015-01-19_final
2015-01-19 10:02:42	ga_ls7e_ard_3-0-0_098070_2015-01-19_final
2015-01-19 10:03:06	ga_ls7e_ard_3-0-0_098071_2015-01-19_final
2015-01-19 10:03:30	ga_ls7e_ard_3-0-0_098072_2015-01-19_final
2015-01-19 10:03:54	ga_ls7e_ard_3-0-0_098073_2015-01-19_final
2015-01-19 10:04:18	ga_ls7e_ard_3-0-0_098074_2015-01-19_final
2015-01-19 10:04:41	ga_ls7e_ard_3-0-0_098075_2015-01-19_final
2015-01-19 10:05:05	ga_ls7e_ard_3-0-0_098076_2015-01-19_final
2015-01-19 10:05:29	ga_ls7e_ard_3-0-0_098077_2015-01-19_final
2015-01-19 10:05:53	ga_ls7e_ard_3-0-0_098078_2015-01-19_final
2015-01-19 10:06:17	ga_ls7e_ard_3-0-0_098079_2015-01-19_final
2015-01-19 10:06:41	ga_ls7e_ard_3-0-0_098080_2015-01-19_final
2015-01-19 10:07:05	ga_ls7e_ard_3-0-0_098081_2015-01-19_final
2015-01-19 10:07:29	ga_ls7e_ard_3-0-0_098082_2015-01-19_final
2015-01-19 10:07:53	ga_ls7e_ard_3-0-0_098083_2015-01-19_final
2015-01-19 10:08:17	ga_ls7e_ard_3-0-0_098084_2015-01-19_final
2015-01-19 10:08:41	ga_ls7e_ard_3-0-0_098085_2015-01-19_final
2015-01-19 11:43:11	ga_ls7e_ard_3-0-0_114074_2015-01-19_final
2015-01-19 11:43:35	ga_ls7e_ard_3-0-0_114075_2015-01-19_final
2015-01-19 11:43:58	ga_ls7e_ard_3-0-0_114076_2015-01-19_final
2015-01-19 11:44:22	ga_ls7e_ard_3-0-0_114077_2015-01-19_final
2015-01-19 11:44:46	ga_ls7e_ard_3-0-0_114078_2015-01-19_final
2015-01-19 11:45:10	ga_ls7e_ard_3-0-0_114079_2015-01-19_final
2015-01-19 11:45:34	ga_ls7e_ard_3-0-0_114080_2015-01-19_final
2015-01-19 11:45:58	ga_ls7e_ard_3-0-0_114081_2015-01-19_final
2015-01-20 09:10:16	ga_ls7e_ard_3-0-0_089078_2015-01-19_final
2015-01-20 09:10:40	ga_ls7e_ard_3-0-0_089079_2015-01-19_final
2015-01-20 09:11:04	ga_ls7e_ard_3-0-0_089080_2015-01-19_final
2015-01-20 09:11:27	ga_ls7e_ard_3-1-0_089081_2015-01-19_final
2015-01-20 09:11:51	ga_ls7e_ard_3-0-0_089082_2015-01-19_final
2015-01-20 09:12:15	ga_ls7e_ard_3-0-0_089083_2015-01-19_final
2015-01-20 09:14:39	ga_ls7e_ard_3-0-0_089089_2015-01-19_final
2015-01-20 09:15:03	ga_ls7e_ard_3-0-0_089090_2015-01-19_final
2015-01-20 10:45:09	ga_ls7e_ard_3-0-0_105068_2015-01-20_final
2015-01-20 10:45:33	ga_ls7e_ard_3-0-0_105069_2015-01-20_final
2015-01-20 10:45:57	ga_ls7e_ard_3-0-0_105070_2015-01-20_final
2015-01-20 10:46:21	ga_ls7e_ard_3-0-0_105071_2015-01-20_final
2015-01-20 10:46:45	ga_ls7e_ard_3-0-0_105072_2015-01-20_final
2015-01-20 10:47:09	ga_ls7e_ard_3-0-0_105073_2015-01-20_final
2015-01-20 10:47:33	ga_ls7e_ard_3-0-0_105074_2015-01-20_final
2015-01-20 10:47:57	ga_ls7e_ard_3-0-0_105075_2015-01-20_final
2015-01-20 10:48:21	ga_ls7e_ard_3-0-0_105076_2015-01-20_final
2015-01-20 10:48:45	ga_ls7e_ard_3-0-0_105077_2015-01-20_final
2015-01-20 10:49:09	ga_ls7e_ard_3-0-0_105078_2015-01-20_final
2015-01-20 10:49:33	ga_ls7e_ard_3-0-0_105079_2015-01-20_final
2015-01-20 10:49:56	ga_ls7e_ard_3-1-0_105080_2015-01-20_final
2015-01-20 10:50:20	ga_ls7e_ard_3-0-0_105081_2015-01-20_final
2015-01-20 10:50:44	ga_ls7e_ard_3-0-0_105082_2015-01-20_final
2015-01-20 10:51:08	ga_ls7e_ard_3-1-0_105083_2015-01-20_final

Return to ga_ls7e_ard_3 across January 2015 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

2015

January

All days