Search ga_ls7e_ard_3 across April 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
2015-04-01 09:18:09	ga_ls7e_ard_3-0-0_090081_2015-03-31_final
2015-04-01 09:18:33	ga_ls7e_ard_3-0-0_090082_2015-03-31_final
2015-04-01 09:18:57	ga_ls7e_ard_3-0-0_090083_2015-03-31_final
2015-04-01 09:19:21	ga_ls7e_ard_3-0-0_090084_2015-03-31_final
2015-04-01 09:19:45	ga_ls7e_ard_3-0-0_090085_2015-03-31_final
2015-04-01 09:20:09	ga_ls7e_ard_3-0-0_090086_2015-03-31_final
2015-04-01 09:20:57	ga_ls7e_ard_3-0-0_090088_2015-03-31_final
2015-04-01 09:21:21	ga_ls7e_ard_3-0-0_090089_2015-03-31_final
2015-04-01 09:21:45	ga_ls7e_ard_3-0-0_090090_2015-03-31_final
2015-04-01 10:51:51	ga_ls7e_ard_3-0-0_106068_2015-04-01_final
2015-04-01 10:52:15	ga_ls7e_ard_3-0-0_106069_2015-04-01_final
2015-04-01 10:52:39	ga_ls7e_ard_3-0-0_106070_2015-04-01_final
2015-04-01 10:53:03	ga_ls7e_ard_3-0-0_106071_2015-04-01_final
2015-04-01 10:53:27	ga_ls7e_ard_3-0-0_106072_2015-04-01_final
2015-04-01 10:53:51	ga_ls7e_ard_3-0-0_106073_2015-04-01_final
2015-04-01 10:54:15	ga_ls7e_ard_3-0-0_106074_2015-04-01_final
2015-04-01 10:55:03	ga_ls7e_ard_3-0-0_106076_2015-04-01_final
2015-04-01 10:55:27	ga_ls7e_ard_3-1-0_106077_2015-04-01_final
2015-04-02 09:57:03	ga_ls7e_ard_3-0-0_097070_2015-04-02_final
2015-04-02 09:57:27	ga_ls7e_ard_3-0-0_097071_2015-04-02_final
2015-04-02 09:57:51	ga_ls7e_ard_3-0-0_097072_2015-04-02_final
2015-04-02 09:58:14	ga_ls7e_ard_3-0-0_097073_2015-04-02_final
2015-04-02 09:58:38	ga_ls7e_ard_3-0-0_097074_2015-04-02_final
2015-04-02 09:59:02	ga_ls7e_ard_3-0-0_097075_2015-04-02_final
2015-04-02 09:59:26	ga_ls7e_ard_3-1-0_097076_2015-04-02_final
2015-04-02 09:59:50	ga_ls7e_ard_3-0-0_097077_2015-04-02_final
2015-04-02 10:00:14	ga_ls7e_ard_3-0-0_097078_2015-04-02_final
2015-04-02 10:00:38	ga_ls7e_ard_3-0-0_097079_2015-04-02_final
2015-04-02 10:01:02	ga_ls7e_ard_3-0-0_097080_2015-04-02_final
2015-04-02 10:01:26	ga_ls7e_ard_3-0-0_097081_2015-04-02_final
2015-04-02 10:02:14	ga_ls7e_ard_3-0-0_097083_2015-04-02_final
2015-04-02 10:02:38	ga_ls7e_ard_3-0-0_097084_2015-04-02_final
2015-04-02 10:03:02	ga_ls7e_ard_3-0-0_097085_2015-04-02_final
2015-04-02 11:34:44	ga_ls7e_ard_3-0-0_113067_2015-04-02_final
2015-04-02 11:37:32	ga_ls7e_ard_3-0-0_113074_2015-04-02_final
2015-04-02 11:37:55	ga_ls7e_ard_3-0-0_113075_2015-04-02_final
2015-04-02 11:38:19	ga_ls7e_ard_3-0-0_113076_2015-04-02_final
2015-04-02 11:38:43	ga_ls7e_ard_3-0-0_113077_2015-04-02_final
2015-04-02 11:39:07	ga_ls7e_ard_3-0-0_113078_2015-04-02_final
2015-04-02 11:39:31	ga_ls7e_ard_3-0-0_113079_2015-04-02_final
2015-04-02 11:39:55	ga_ls7e_ard_3-0-0_113080_2015-04-02_final
2015-04-02 11:40:19	ga_ls7e_ard_3-0-0_113081_2015-04-02_final
2015-04-02 11:40:43	ga_ls7e_ard_3-0-0_113082_2015-04-02_final
2015-04-02 11:41:07	ga_ls7e_ard_3-0-0_113083_2015-04-02_final
2015-04-02 11:41:31	ga_ls7e_ard_3-0-0_113084_2015-04-02_final
2015-04-15 11:07:09	ga_ls7e_ard_3-1-0_108075_2015-04-15_final
2015-04-16 10:08:21	ga_ls7e_ard_3-0-0_099067_2015-04-16_final
2015-04-16 10:08:45	ga_ls7e_ard_3-0-0_099068_2015-04-16_final
2015-04-16 10:09:09	ga_ls7e_ard_3-0-0_099069_2015-04-16_final
2015-04-16 10:09:33	ga_ls7e_ard_3-0-0_099070_2015-04-16_final
2015-04-16 10:09:57	ga_ls7e_ard_3-0-0_099071_2015-04-16_final
2015-04-16 10:10:21	ga_ls7e_ard_3-0-0_099072_2015-04-16_final
2015-04-16 10:10:45	ga_ls7e_ard_3-0-0_099073_2015-04-16_final
2015-04-16 10:11:08	ga_ls7e_ard_3-0-0_099074_2015-04-16_final
2015-04-16 10:11:32	ga_ls7e_ard_3-0-0_099075_2015-04-16_final
2015-04-16 10:11:56	ga_ls7e_ard_3-0-0_099076_2015-04-16_final
2015-04-16 10:12:20	ga_ls7e_ard_3-0-0_099077_2015-04-16_final
2015-04-16 10:12:44	ga_ls7e_ard_3-0-0_099078_2015-04-16_final
2015-04-16 10:13:08	ga_ls7e_ard_3-0-0_099079_2015-04-16_final
2015-04-16 10:13:32	ga_ls7e_ard_3-0-0_099080_2015-04-16_final
2015-04-16 10:13:56	ga_ls7e_ard_3-0-0_099081_2015-04-16_final
2015-04-16 11:50:26	ga_ls7e_ard_3-0-0_115075_2015-04-16_final
2015-04-16 11:50:49	ga_ls7e_ard_3-0-0_115076_2015-04-16_final
2015-04-16 11:51:13	ga_ls7e_ard_3-0-0_115077_2015-04-16_final
2015-04-16 11:51:37	ga_ls7e_ard_3-0-0_115078_2015-04-16_final
2015-04-16 11:52:01	ga_ls7e_ard_3-0-0_115079_2015-04-16_final
2015-04-17 09:16:43	ga_ls7e_ard_3-0-0_090077_2015-04-16_final
2015-04-17 09:17:07	ga_ls7e_ard_3-0-0_090078_2015-04-16_final
2015-04-17 09:17:31	ga_ls7e_ard_3-0-0_090079_2015-04-16_final
2015-04-17 09:17:55	ga_ls7e_ard_3-0-0_090080_2015-04-16_final
2015-04-17 09:18:19	ga_ls7e_ard_3-0-0_090081_2015-04-16_final
2015-04-17 09:18:43	ga_ls7e_ard_3-0-0_090082_2015-04-16_final
2015-04-17 09:21:07	ga_ls7e_ard_3-0-0_090088_2015-04-16_final
2015-04-17 09:21:31	ga_ls7e_ard_3-0-0_090089_2015-04-16_final
2015-04-17 09:21:55	ga_ls7e_ard_3-0-0_090090_2015-04-16_final
2015-04-18 09:56:47	ga_ls7e_ard_3-0-0_097069_2015-04-18_final
2015-04-18 09:57:11	ga_ls7e_ard_3-0-0_097070_2015-04-18_final
2015-04-18 09:57:35	ga_ls7e_ard_3-0-0_097071_2015-04-18_final
2015-04-18 09:57:59	ga_ls7e_ard_3-0-0_097072_2015-04-18_final
2015-04-18 09:58:23	ga_ls7e_ard_3-0-0_097073_2015-04-18_final
2015-04-18 09:58:47	ga_ls7e_ard_3-0-0_097074_2015-04-18_final
2015-04-18 09:59:11	ga_ls7e_ard_3-0-0_097075_2015-04-18_final
2015-04-18 09:59:35	ga_ls7e_ard_3-1-0_097076_2015-04-18_final
2015-04-18 10:01:35	ga_ls7e_ard_3-0-0_097081_2015-04-18_final
2015-04-18 10:01:59	ga_ls7e_ard_3-0-0_097082_2015-04-18_final
2015-04-18 10:02:23	ga_ls7e_ard_3-0-0_097083_2015-04-18_final
2015-04-18 10:02:47	ga_ls7e_ard_3-0-0_097084_2015-04-18_final
2015-04-18 10:03:11	ga_ls7e_ard_3-0-0_097085_2015-04-18_final
2015-04-18 11:34:53	ga_ls7e_ard_3-0-0_113067_2015-04-18_final
2015-04-18 11:39:16	ga_ls7e_ard_3-0-0_113078_2015-04-18_final
2015-04-18 11:39:40	ga_ls7e_ard_3-0-0_113079_2015-04-18_final
2015-04-18 11:40:04	ga_ls7e_ard_3-0-0_113080_2015-04-18_final
2015-04-18 11:40:28	ga_ls7e_ard_3-0-0_113081_2015-04-18_final
2015-04-18 11:40:52	ga_ls7e_ard_3-0-0_113082_2015-04-18_final
2015-04-18 11:41:16	ga_ls7e_ard_3-0-0_113083_2015-04-18_final
2015-04-18 11:41:40	ga_ls7e_ard_3-0-0_113084_2015-04-18_final
2015-04-19 10:39:39	ga_ls7e_ard_3-0-0_104068_2015-04-19_final
2015-04-19 10:40:03	ga_ls7e_ard_3-0-0_104069_2015-04-19_final
2015-04-19 10:40:27	ga_ls7e_ard_3-1-0_104070_2015-04-19_final
2015-04-19 10:40:51	ga_ls7e_ard_3-0-0_104071_2015-04-19_final

Return to ga_ls7e_ard_3 across April 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

April

All days