Search ga_ls7e_ard_3 across December 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
2015-12-01 10:28:59	ga_ls7e_ard_3-0-0_102068_2015-12-01_final
2015-12-01 10:29:23	ga_ls7e_ard_3-0-0_102069_2015-12-01_final
2015-12-01 10:29:47	ga_ls7e_ard_3-0-0_102070_2015-12-01_final
2015-12-01 10:30:11	ga_ls7e_ard_3-0-0_102071_2015-12-01_final
2015-12-01 10:30:35	ga_ls7e_ard_3-0-0_102072_2015-12-01_final
2015-12-01 10:31:46	ga_ls7e_ard_3-0-0_102075_2015-12-01_final
2015-12-01 10:32:10	ga_ls7e_ard_3-0-0_102076_2015-12-01_final
2015-12-01 10:32:34	ga_ls7e_ard_3-0-0_102077_2015-12-01_final
2015-12-01 10:32:58	ga_ls7e_ard_3-0-0_102078_2015-12-01_final
2015-12-01 10:33:22	ga_ls7e_ard_3-0-0_102079_2015-12-01_final
2015-12-01 10:33:46	ga_ls7e_ard_3-0-0_102080_2015-12-01_final
2015-12-01 10:34:10	ga_ls7e_ard_3-0-0_102081_2015-12-01_final
2015-12-01 10:34:34	ga_ls7e_ard_3-0-0_102082_2015-12-01_final
2015-12-02 09:32:58	ga_ls7e_ard_3-0-0_093067_2015-12-02_final
2015-12-02 09:35:46	ga_ls7e_ard_3-0-0_093074_2015-12-02_final
2015-12-02 09:37:45	ga_ls7e_ard_3-0-0_093079_2015-12-02_final
2015-12-02 09:38:09	ga_ls7e_ard_3-0-0_093080_2015-12-02_final
2015-12-02 09:38:33	ga_ls7e_ard_3-0-0_093081_2015-12-02_final
2015-12-02 09:38:57	ga_ls7e_ard_3-0-0_093082_2015-12-02_final
2015-12-02 09:39:21	ga_ls7e_ard_3-0-0_093083_2015-12-02_final
2015-12-02 09:39:45	ga_ls7e_ard_3-0-0_093084_2015-12-02_final
2015-12-02 09:40:09	ga_ls7e_ard_3-0-0_093085_2015-12-02_final
2015-12-02 09:40:33	ga_ls7e_ard_3-0-0_093086_2015-12-02_final
2015-12-02 09:40:57	ga_ls7e_ard_3-1-0_093087_2015-12-02_final
2015-12-02 09:41:21	ga_ls7e_ard_3-0-0_093088_2015-12-02_final
2015-12-02 11:13:03	ga_ls7e_ard_3-0-0_109070_2015-12-02_final
2015-12-02 11:13:27	ga_ls7e_ard_3-0-0_109071_2015-12-02_final
2015-12-02 11:13:51	ga_ls7e_ard_3-0-0_109072_2015-12-02_final
2015-12-02 11:14:15	ga_ls7e_ard_3-0-0_109073_2015-12-02_final
2015-12-02 11:14:39	ga_ls7e_ard_3-0-0_109074_2015-12-02_final
2015-12-02 11:15:03	ga_ls7e_ard_3-0-0_109075_2015-12-02_final
2015-12-02 11:15:27	ga_ls7e_ard_3-0-0_109076_2015-12-02_final
2015-12-02 11:15:51	ga_ls7e_ard_3-0-0_109077_2015-12-02_final
2015-12-02 11:16:15	ga_ls7e_ard_3-0-0_109078_2015-12-02_final
2015-12-02 11:16:39	ga_ls7e_ard_3-0-0_109079_2015-12-02_final
2015-12-02 11:17:03	ga_ls7e_ard_3-0-0_109080_2015-12-02_final
2015-12-02 11:17:26	ga_ls7e_ard_3-1-0_109081_2015-12-02_final
2015-12-02 11:17:50	ga_ls7e_ard_3-0-0_109082_2015-12-02_final
2015-12-02 11:18:14	ga_ls7e_ard_3-0-0_109083_2015-12-02_final
2015-12-02 11:18:38	ga_ls7e_ard_3-0-0_109084_2015-12-02_final
2015-12-12 10:10:15	ga_ls7e_ard_3-0-0_099067_2015-12-12_final
2015-12-12 10:10:39	ga_ls7e_ard_3-0-0_099068_2015-12-12_final
2015-12-12 10:11:03	ga_ls7e_ard_3-0-0_099069_2015-12-12_final
2015-12-12 10:11:27	ga_ls7e_ard_3-0-0_099070_2015-12-12_final
2015-12-12 10:12:15	ga_ls7e_ard_3-0-0_099072_2015-12-12_final
2015-12-12 10:12:39	ga_ls7e_ard_3-0-0_099073_2015-12-12_final
2015-12-12 10:13:03	ga_ls7e_ard_3-0-0_099074_2015-12-12_final
2015-12-12 10:13:27	ga_ls7e_ard_3-0-0_099075_2015-12-12_final
2015-12-12 10:13:51	ga_ls7e_ard_3-0-0_099076_2015-12-12_final
2015-12-12 10:14:14	ga_ls7e_ard_3-0-0_099077_2015-12-12_final
2015-12-12 10:14:38	ga_ls7e_ard_3-0-0_099078_2015-12-12_final
2015-12-12 10:15:02	ga_ls7e_ard_3-0-0_099079_2015-12-12_final
2015-12-12 10:15:26	ga_ls7e_ard_3-0-0_099080_2015-12-12_final
2015-12-12 10:15:50	ga_ls7e_ard_3-0-0_099081_2015-12-12_final
2015-12-12 10:16:14	ga_ls7e_ard_3-0-0_099082_2015-12-12_final
2015-12-12 10:16:38	ga_ls7e_ard_3-0-0_099083_2015-12-12_final
2015-12-12 10:17:02	ga_ls7e_ard_3-0-0_099084_2015-12-12_final
2015-12-12 11:51:56	ga_ls7e_ard_3-0-0_115074_2015-12-12_final
2015-12-12 11:52:20	ga_ls7e_ard_3-0-0_115075_2015-12-12_final
2015-12-12 11:52:44	ga_ls7e_ard_3-0-0_115076_2015-12-12_final
2015-12-12 11:53:08	ga_ls7e_ard_3-1-0_115077_2015-12-12_final
2015-12-12 11:53:32	ga_ls7e_ard_3-0-0_115078_2015-12-12_final
2015-12-12 11:53:56	ga_ls7e_ard_3-0-0_115079_2015-12-12_final
2015-12-13 09:19:26	ga_ls7e_ard_3-0-0_090079_2015-12-12_final
2015-12-13 09:19:50	ga_ls7e_ard_3-0-0_090080_2015-12-12_final
2015-12-13 09:20:14	ga_ls7e_ard_3-0-0_090081_2015-12-12_final
2015-12-13 09:20:38	ga_ls7e_ard_3-0-0_090082_2015-12-12_final
2015-12-13 09:21:26	ga_ls7e_ard_3-0-0_090084_2015-12-12_final
2015-12-13 09:21:50	ga_ls7e_ard_3-1-0_090085_2015-12-12_final
2015-12-13 09:22:14	ga_ls7e_ard_3-0-0_090086_2015-12-12_final
2015-12-13 09:23:02	ga_ls7e_ard_3-0-0_090088_2015-12-12_final
2015-12-13 09:23:26	ga_ls7e_ard_3-0-0_090089_2015-12-12_final
2015-12-13 09:23:50	ga_ls7e_ard_3-0-0_090090_2015-12-12_final
2015-12-13 10:53:56	ga_ls7e_ard_3-0-0_106068_2015-12-13_final
2015-12-13 10:54:20	ga_ls7e_ard_3-0-0_106069_2015-12-13_final
2015-12-13 10:54:44	ga_ls7e_ard_3-0-0_106070_2015-12-13_final
2015-12-13 10:55:08	ga_ls7e_ard_3-0-0_106071_2015-12-13_final
2015-12-13 10:55:32	ga_ls7e_ard_3-0-0_106072_2015-12-13_final
2015-12-13 10:55:56	ga_ls7e_ard_3-0-0_106073_2015-12-13_final
2015-12-13 10:56:19	ga_ls7e_ard_3-0-0_106074_2015-12-13_final
2015-12-13 10:56:43	ga_ls7e_ard_3-1-0_106075_2015-12-13_final
2015-12-13 10:57:31	ga_ls7e_ard_3-0-0_106077_2015-12-13_final
2015-12-13 10:57:55	ga_ls7e_ard_3-0-0_106078_2015-12-13_final
2015-12-13 10:58:43	ga_ls7e_ard_3-0-0_106080_2015-12-13_final
2015-12-13 10:59:31	ga_ls7e_ard_3-0-0_106082_2015-12-13_final
2015-12-13 10:59:55	ga_ls7e_ard_3-0-0_106083_2015-12-13_final
2015-12-14 09:59:07	ga_ls7e_ard_3-0-0_097070_2015-12-14_final
2015-12-14 10:00:19	ga_ls7e_ard_3-0-0_097073_2015-12-14_final
2015-12-14 10:00:43	ga_ls7e_ard_3-0-0_097074_2015-12-14_final
2015-12-14 10:01:07	ga_ls7e_ard_3-0-0_097075_2015-12-14_final
2015-12-14 10:01:31	ga_ls7e_ard_3-0-0_097076_2015-12-14_final
2015-12-14 10:01:55	ga_ls7e_ard_3-0-0_097077_2015-12-14_final
2015-12-14 10:02:19	ga_ls7e_ard_3-0-0_097078_2015-12-14_final
2015-12-14 10:02:43	ga_ls7e_ard_3-0-0_097079_2015-12-14_final
2015-12-14 10:03:07	ga_ls7e_ard_3-0-0_097080_2015-12-14_final
2015-12-14 10:03:31	ga_ls7e_ard_3-0-0_097081_2015-12-14_final
2015-12-14 10:03:55	ga_ls7e_ard_3-0-0_097082_2015-12-14_final
2015-12-14 10:04:19	ga_ls7e_ard_3-0-0_097083_2015-12-14_final
2015-12-14 10:04:43	ga_ls7e_ard_3-0-0_097084_2015-12-14_final
2015-12-14 10:05:07	ga_ls7e_ard_3-0-0_097085_2015-12-14_final

Return to ga_ls7e_ard_3 across December 2015 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2015

December

All days