Search ga_ls7e_ard_3 across March 2016

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
2016-03-01 10:11:05	ga_ls7e_ard_3-0-0_099067_2016-03-01_final
2016-03-01 10:11:29	ga_ls7e_ard_3-0-0_099068_2016-03-01_final
2016-03-01 10:11:53	ga_ls7e_ard_3-0-0_099069_2016-03-01_final
2016-03-01 10:12:17	ga_ls7e_ard_3-0-0_099070_2016-03-01_final
2016-03-01 10:12:41	ga_ls7e_ard_3-0-0_099071_2016-03-01_final
2016-03-01 10:13:05	ga_ls7e_ard_3-0-0_099072_2016-03-01_final
2016-03-01 10:13:28	ga_ls7e_ard_3-0-0_099073_2016-03-01_final
2016-03-01 10:13:52	ga_ls7e_ard_3-0-0_099074_2016-03-01_final
2016-03-01 10:14:16	ga_ls7e_ard_3-0-0_099075_2016-03-01_final
2016-03-01 10:14:40	ga_ls7e_ard_3-0-0_099076_2016-03-01_final
2016-03-01 10:15:04	ga_ls7e_ard_3-0-0_099077_2016-03-01_final
2016-03-01 10:15:28	ga_ls7e_ard_3-0-0_099078_2016-03-01_final
2016-03-01 10:15:52	ga_ls7e_ard_3-0-0_099079_2016-03-01_final
2016-03-01 10:16:16	ga_ls7e_ard_3-0-0_099080_2016-03-01_final
2016-03-01 10:16:40	ga_ls7e_ard_3-0-0_099081_2016-03-01_final
2016-03-01 10:17:04	ga_ls7e_ard_3-0-0_099082_2016-03-01_final
2016-03-01 10:17:28	ga_ls7e_ard_3-0-0_099083_2016-03-01_final
2016-03-01 10:17:52	ga_ls7e_ard_3-0-0_099084_2016-03-01_final
2016-03-02 09:20:16	ga_ls7e_ard_3-0-0_090079_2016-03-01_final
2016-03-02 09:20:40	ga_ls7e_ard_3-0-0_090080_2016-03-01_final
2016-03-02 09:21:03	ga_ls7e_ard_3-0-0_090081_2016-03-01_final
2016-03-02 09:21:27	ga_ls7e_ard_3-0-0_090082_2016-03-01_final
2016-03-02 09:21:51	ga_ls7e_ard_3-0-0_090083_2016-03-01_final
2016-03-02 09:22:15	ga_ls7e_ard_3-0-0_090084_2016-03-01_final
2016-03-02 09:22:39	ga_ls7e_ard_3-1-0_090085_2016-03-01_final
2016-03-02 09:23:03	ga_ls7e_ard_3-0-0_090086_2016-03-01_final
2016-03-02 09:23:51	ga_ls7e_ard_3-0-0_090088_2016-03-01_final
2016-03-02 09:24:15	ga_ls7e_ard_3-0-0_090089_2016-03-01_final
2016-03-02 09:24:39	ga_ls7e_ard_3-0-0_090090_2016-03-01_final
2016-03-02 10:54:45	ga_ls7e_ard_3-0-0_106068_2016-03-02_final
2016-03-02 10:55:09	ga_ls7e_ard_3-0-0_106069_2016-03-02_final
2016-03-02 10:55:33	ga_ls7e_ard_3-0-0_106070_2016-03-02_final
2016-03-02 10:55:57	ga_ls7e_ard_3-0-0_106071_2016-03-02_final
2016-03-02 10:56:21	ga_ls7e_ard_3-0-0_106072_2016-03-02_final
2016-03-02 10:56:45	ga_ls7e_ard_3-0-0_106073_2016-03-02_final
2016-03-02 10:57:09	ga_ls7e_ard_3-0-0_106074_2016-03-02_final
2016-03-02 10:57:33	ga_ls7e_ard_3-1-0_106075_2016-03-02_final
2016-03-02 10:57:57	ga_ls7e_ard_3-0-0_106076_2016-03-02_final
2016-03-02 10:58:21	ga_ls7e_ard_3-0-0_106077_2016-03-02_final
2016-03-24 10:19:03	ga_ls7e_ard_3-0-0_100071_2016-03-24_final
2016-03-24 10:19:27	ga_ls7e_ard_3-0-0_100072_2016-03-24_final
2016-03-24 10:19:51	ga_ls7e_ard_3-0-0_100073_2016-03-24_final
2016-03-24 10:20:15	ga_ls7e_ard_3-0-0_100074_2016-03-24_final
2016-03-24 10:20:38	ga_ls7e_ard_3-0-0_100075_2016-03-24_final
2016-03-24 10:21:02	ga_ls7e_ard_3-0-0_100076_2016-03-24_final
2016-03-24 10:21:26	ga_ls7e_ard_3-0-0_100077_2016-03-24_final
2016-03-24 10:21:50	ga_ls7e_ard_3-0-0_100078_2016-03-24_final
2016-03-24 10:22:14	ga_ls7e_ard_3-0-0_100079_2016-03-24_final
2016-03-24 10:22:38	ga_ls7e_ard_3-0-0_100080_2016-03-24_final
2016-03-24 10:23:02	ga_ls7e_ard_3-0-0_100081_2016-03-24_final
2016-03-24 10:23:26	ga_ls7e_ard_3-0-0_100082_2016-03-24_final
2016-03-25 09:25:25	ga_ls7e_ard_3-0-0_091076_2016-03-24_final
2016-03-25 09:25:49	ga_ls7e_ard_3-0-0_091077_2016-03-24_final
2016-03-25 09:26:13	ga_ls7e_ard_3-0-0_091078_2016-03-24_final
2016-03-25 09:26:37	ga_ls7e_ard_3-0-0_091079_2016-03-24_final
2016-03-25 09:27:01	ga_ls7e_ard_3-0-0_091080_2016-03-24_final
2016-03-25 09:27:25	ga_ls7e_ard_3-0-0_091081_2016-03-24_final
2016-03-25 09:27:49	ga_ls7e_ard_3-0-0_091082_2016-03-24_final
2016-03-25 09:29:01	ga_ls7e_ard_3-0-0_091085_2016-03-24_final
2016-03-25 09:29:25	ga_ls7e_ard_3-1-0_091086_2016-03-24_final
2016-03-25 09:30:37	ga_ls7e_ard_3-0-0_091089_2016-03-25_final
2016-03-25 11:01:55	ga_ls7e_ard_3-0-0_107070_2016-03-25_final
2016-03-25 11:02:19	ga_ls7e_ard_3-0-0_107071_2016-03-25_final
2016-03-25 11:02:43	ga_ls7e_ard_3-0-0_107072_2016-03-25_final
2016-03-25 11:03:07	ga_ls7e_ard_3-0-0_107073_2016-03-25_final
2016-03-25 11:03:30	ga_ls7e_ard_3-0-0_107074_2016-03-25_final
2016-03-25 11:03:54	ga_ls7e_ard_3-0-0_107075_2016-03-25_final
2016-03-25 11:04:18	ga_ls7e_ard_3-0-0_107076_2016-03-25_final
2016-03-25 11:04:42	ga_ls7e_ard_3-0-0_107077_2016-03-25_final
2016-03-25 11:05:06	ga_ls7e_ard_3-0-0_107078_2016-03-25_final
2016-03-25 11:05:30	ga_ls7e_ard_3-0-0_107079_2016-03-25_final
2016-03-25 11:05:54	ga_ls7e_ard_3-0-0_107080_2016-03-25_final
2016-03-25 11:07:30	ga_ls7e_ard_3-0-0_107084_2016-03-25_final
2016-03-26 10:05:06	ga_ls7e_ard_3-0-0_098067_2016-03-26_final
2016-03-26 10:05:30	ga_ls7e_ard_3-0-0_098068_2016-03-26_final
2016-03-26 10:05:54	ga_ls7e_ard_3-0-0_098069_2016-03-26_final
2016-03-26 10:06:18	ga_ls7e_ard_3-0-0_098070_2016-03-26_final
2016-03-26 10:06:42	ga_ls7e_ard_3-0-0_098071_2016-03-26_final
2016-03-26 10:07:05	ga_ls7e_ard_3-0-0_098072_2016-03-26_final
2016-03-26 10:07:29	ga_ls7e_ard_3-0-0_098073_2016-03-26_final
2016-03-26 10:07:53	ga_ls7e_ard_3-0-0_098074_2016-03-26_final
2016-03-26 10:08:17	ga_ls7e_ard_3-0-0_098075_2016-03-26_final
2016-03-26 10:08:41	ga_ls7e_ard_3-0-0_098076_2016-03-26_final
2016-03-26 10:09:05	ga_ls7e_ard_3-0-0_098077_2016-03-26_final
2016-03-26 10:09:29	ga_ls7e_ard_3-0-0_098078_2016-03-26_final
2016-03-26 10:09:53	ga_ls7e_ard_3-0-0_098079_2016-03-26_final
2016-03-26 10:10:17	ga_ls7e_ard_3-1-0_098080_2016-03-26_final
2016-03-26 10:10:41	ga_ls7e_ard_3-0-0_098081_2016-03-26_final
2016-03-26 10:11:05	ga_ls7e_ard_3-0-0_098082_2016-03-26_final
2016-03-26 10:11:29	ga_ls7e_ard_3-0-0_098083_2016-03-26_final
2016-03-26 10:12:17	ga_ls7e_ard_3-0-0_098085_2016-03-26_final
2016-03-26 11:43:59	ga_ls7e_ard_3-0-0_114067_2016-03-26_final
2016-03-26 11:46:46	ga_ls7e_ard_3-0-0_114074_2016-03-26_final
2016-03-26 11:47:10	ga_ls7e_ard_3-0-0_114075_2016-03-26_final
2016-03-26 11:47:34	ga_ls7e_ard_3-0-0_114076_2016-03-26_final
2016-03-26 11:47:58	ga_ls7e_ard_3-0-0_114077_2016-03-26_final
2016-03-26 11:48:22	ga_ls7e_ard_3-0-0_114078_2016-03-26_final
2016-03-27 09:14:40	ga_ls7e_ard_3-0-0_089080_2016-03-26_final
2016-03-27 09:15:04	ga_ls7e_ard_3-1-0_089081_2016-03-26_final
2016-03-27 09:15:28	ga_ls7e_ard_3-0-0_089082_2016-03-26_final

Return to ga_ls7e_ard_3 across March 2016 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

2016

March

All days