Search ga_ls7e_ard_3 across May 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
2016-05-01 09:40:36	ga_ls7e_ard_3-1-0_094067_2016-05-01_final
2016-05-01 09:44:59	ga_ls7e_ard_3-1-0_094078_2016-05-01_final
2016-05-01 09:46:11	ga_ls7e_ard_3-0-0_094081_2016-05-01_final
2016-05-01 09:46:35	ga_ls7e_ard_3-0-0_094082_2016-05-01_final
2016-05-01 09:46:59	ga_ls7e_ard_3-0-0_094083_2016-05-01_final
2016-05-01 09:47:23	ga_ls7e_ard_3-0-0_094084_2016-05-01_final
2016-05-01 09:47:47	ga_ls7e_ard_3-0-0_094085_2016-05-01_final
2016-05-01 09:48:11	ga_ls7e_ard_3-0-0_094086_2016-05-01_final
2016-05-01 11:19:29	ga_ls7e_ard_3-0-0_110067_2016-05-01_final
2016-05-01 11:20:41	ga_ls7e_ard_3-0-0_110070_2016-05-01_final
2016-05-01 11:21:05	ga_ls7e_ard_3-0-0_110071_2016-05-01_final
2016-05-01 11:21:29	ga_ls7e_ard_3-1-0_110072_2016-05-01_final
2016-05-01 11:21:52	ga_ls7e_ard_3-0-0_110073_2016-05-01_final
2016-05-01 11:22:16	ga_ls7e_ard_3-0-0_110074_2016-05-01_final
2016-05-01 11:22:40	ga_ls7e_ard_3-0-0_110075_2016-05-01_final
2016-05-01 11:23:04	ga_ls7e_ard_3-0-0_110076_2016-05-01_final
2016-05-01 11:23:28	ga_ls7e_ard_3-0-0_110077_2016-05-01_final
2016-05-01 11:23:52	ga_ls7e_ard_3-0-0_110078_2016-05-01_final
2016-05-01 11:24:16	ga_ls7e_ard_3-0-0_110079_2016-05-01_final
2016-05-01 11:24:40	ga_ls7e_ard_3-0-0_110080_2016-05-01_final
2016-05-01 11:25:04	ga_ls7e_ard_3-0-0_110081_2016-05-01_final
2016-05-01 11:25:28	ga_ls7e_ard_3-0-0_110082_2016-05-01_final
2016-05-01 11:25:52	ga_ls7e_ard_3-0-0_110083_2016-05-01_final
2016-05-01 11:26:16	ga_ls7e_ard_3-0-0_110084_2016-05-01_final
2016-05-02 10:25:28	ga_ls7e_ard_3-0-0_101071_2016-05-02_final
2016-05-02 10:25:51	ga_ls7e_ard_3-0-0_101072_2016-05-02_final
2016-05-02 10:26:15	ga_ls7e_ard_3-0-0_101073_2016-05-02_final
2016-05-02 10:26:39	ga_ls7e_ard_3-0-0_101074_2016-05-02_final
2016-05-02 10:27:03	ga_ls7e_ard_3-1-0_101075_2016-05-02_final
2016-05-02 10:27:27	ga_ls7e_ard_3-0-0_101076_2016-05-02_final
2016-05-02 10:28:15	ga_ls7e_ard_3-0-0_101078_2016-05-02_final
2016-05-02 10:28:39	ga_ls7e_ard_3-0-0_101079_2016-05-02_final
2016-05-02 10:29:03	ga_ls7e_ard_3-0-0_101080_2016-05-02_final
2016-05-02 10:29:27	ga_ls7e_ard_3-0-0_101081_2016-05-02_final
2016-05-02 10:29:51	ga_ls7e_ard_3-0-0_101082_2016-05-02_final
2016-05-02 10:30:15	ga_ls7e_ard_3-0-0_101083_2016-05-02_final
2016-05-03 09:31:26	ga_ls7e_ard_3-0-0_092075_2016-05-03_final
2016-05-03 09:31:50	ga_ls7e_ard_3-0-0_092076_2016-05-03_final
2016-05-03 09:32:14	ga_ls7e_ard_3-0-0_092077_2016-05-03_final
2016-05-03 09:32:38	ga_ls7e_ard_3-0-0_092078_2016-05-03_final
2016-05-03 09:33:26	ga_ls7e_ard_3-0-0_092080_2016-05-03_final
2016-05-03 09:33:50	ga_ls7e_ard_3-0-0_092081_2016-05-03_final
2016-05-03 09:34:14	ga_ls7e_ard_3-0-0_092082_2016-05-03_final
2016-05-03 09:34:38	ga_ls7e_ard_3-1-0_092083_2016-05-03_final
2016-05-03 09:35:02	ga_ls7e_ard_3-0-0_092084_2016-05-03_final
2016-05-03 09:35:26	ga_ls7e_ard_3-0-0_092085_2016-05-03_final
2016-05-03 09:35:50	ga_ls7e_ard_3-0-0_092086_2016-05-03_final
2016-05-03 09:36:14	ga_ls7e_ard_3-0-0_092087_2016-05-03_final
2016-05-03 11:08:20	ga_ls7e_ard_3-0-0_108070_2016-05-03_final
2016-05-03 11:08:43	ga_ls7e_ard_3-0-0_108071_2016-05-03_final
2016-05-03 11:09:07	ga_ls7e_ard_3-0-0_108072_2016-05-03_final
2016-05-03 11:09:31	ga_ls7e_ard_3-0-0_108073_2016-05-03_final
2016-05-03 11:10:43	ga_ls7e_ard_3-0-0_108076_2016-05-03_final
2016-05-03 11:11:07	ga_ls7e_ard_3-0-0_108077_2016-05-03_final
2016-05-03 11:11:31	ga_ls7e_ard_3-0-0_108078_2016-05-03_final
2016-05-03 11:11:55	ga_ls7e_ard_3-0-0_108079_2016-05-03_final
2016-05-03 11:12:19	ga_ls7e_ard_3-0-0_108080_2016-05-03_final
2016-05-03 11:12:43	ga_ls7e_ard_3-0-0_108081_2016-05-03_final
2016-05-03 11:13:07	ga_ls7e_ard_3-0-0_108082_2016-05-03_final
2016-05-03 11:13:55	ga_ls7e_ard_3-0-0_108084_2016-05-03_final
2016-05-04 10:11:31	ga_ls7e_ard_3-0-0_099067_2016-05-04_final
2016-05-04 10:11:55	ga_ls7e_ard_3-0-0_099068_2016-05-04_final
2016-05-04 10:12:18	ga_ls7e_ard_3-0-0_099069_2016-05-04_final
2016-05-04 10:12:42	ga_ls7e_ard_3-0-0_099070_2016-05-04_final
2016-05-04 10:13:06	ga_ls7e_ard_3-0-0_099071_2016-05-04_final
2016-05-04 10:13:30	ga_ls7e_ard_3-0-0_099072_2016-05-04_final
2016-05-04 10:13:54	ga_ls7e_ard_3-0-0_099073_2016-05-04_final
2016-05-04 10:14:18	ga_ls7e_ard_3-0-0_099074_2016-05-04_final
2016-05-04 10:14:42	ga_ls7e_ard_3-0-0_099075_2016-05-04_final
2016-05-04 10:15:06	ga_ls7e_ard_3-0-0_099076_2016-05-04_final
2016-05-04 10:15:30	ga_ls7e_ard_3-0-0_099077_2016-05-04_final
2016-05-04 10:15:54	ga_ls7e_ard_3-0-0_099078_2016-05-04_final
2016-05-04 10:16:18	ga_ls7e_ard_3-0-0_099079_2016-05-04_final
2016-05-04 10:16:42	ga_ls7e_ard_3-0-0_099080_2016-05-04_final
2016-05-04 10:17:06	ga_ls7e_ard_3-0-0_099081_2016-05-04_final
2016-05-04 10:17:30	ga_ls7e_ard_3-0-0_099082_2016-05-04_final
2016-05-04 10:17:54	ga_ls7e_ard_3-0-0_099083_2016-05-04_final
2016-05-04 10:18:18	ga_ls7e_ard_3-0-0_099084_2016-05-04_final
2016-05-04 11:54:47	ga_ls7e_ard_3-0-0_115078_2016-05-04_final
2016-05-04 11:55:11	ga_ls7e_ard_3-0-0_115079_2016-05-04_final
2016-05-05 09:19:53	ga_ls7e_ard_3-0-0_090077_2016-05-04_final
2016-05-05 09:20:17	ga_ls7e_ard_3-0-0_090078_2016-05-04_final
2016-05-05 09:20:41	ga_ls7e_ard_3-0-0_090079_2016-05-04_final
2016-05-05 09:21:05	ga_ls7e_ard_3-0-0_090080_2016-05-04_final
2016-05-05 09:21:29	ga_ls7e_ard_3-0-0_090081_2016-05-04_final
2016-05-05 09:21:53	ga_ls7e_ard_3-0-0_090082_2016-05-04_final
2016-05-05 09:22:17	ga_ls7e_ard_3-0-0_090083_2016-05-04_final
2016-05-05 09:22:40	ga_ls7e_ard_3-0-0_090084_2016-05-04_final
2016-05-05 09:23:04	ga_ls7e_ard_3-1-0_090085_2016-05-04_final
2016-05-05 09:23:28	ga_ls7e_ard_3-0-0_090086_2016-05-04_final
2016-05-05 09:24:16	ga_ls7e_ard_3-0-0_090088_2016-05-04_final
2016-05-05 09:24:40	ga_ls7e_ard_3-0-0_090089_2016-05-04_final
2016-05-05 09:25:04	ga_ls7e_ard_3-0-0_090090_2016-05-04_final
2016-05-05 10:55:10	ga_ls7e_ard_3-0-0_106068_2016-05-05_final
2016-05-05 10:55:34	ga_ls7e_ard_3-0-0_106069_2016-05-05_final
2016-05-05 10:55:58	ga_ls7e_ard_3-0-0_106070_2016-05-05_final
2016-05-05 10:56:22	ga_ls7e_ard_3-0-0_106071_2016-05-05_final
2016-05-05 10:56:46	ga_ls7e_ard_3-0-0_106072_2016-05-05_final
2016-05-05 10:57:10	ga_ls7e_ard_3-0-0_106073_2016-05-05_final
2016-05-14 09:14:07	ga_ls7e_ard_3-0-0_089078_2016-05-13_final

Return to ga_ls7e_ard_3 across May 2016 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

2016

May

All days