Search ga_ls7e_ard_3 across 2014

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
2014-05-21 09:32:12	ga_ls7e_ard_3-0-0_093074_2014-05-21_final
2014-05-21 09:32:36	ga_ls7e_ard_3-0-0_093075_2014-05-21_final
2014-05-21 09:33:00	ga_ls7e_ard_3-0-0_093076_2014-05-21_final
2014-05-21 09:33:23	ga_ls7e_ard_3-0-0_093077_2014-05-21_final
2014-05-21 09:33:47	ga_ls7e_ard_3-0-0_093078_2014-05-21_final
2014-05-21 09:34:11	ga_ls7e_ard_3-0-0_093079_2014-05-21_final
2014-05-21 09:34:35	ga_ls7e_ard_3-0-0_093080_2014-05-21_final
2014-05-21 09:34:59	ga_ls7e_ard_3-0-0_093081_2014-05-21_final
2014-05-21 09:35:23	ga_ls7e_ard_3-0-0_093082_2014-05-21_final
2014-05-21 09:35:47	ga_ls7e_ard_3-0-0_093083_2014-05-21_final
2014-05-21 09:36:11	ga_ls7e_ard_3-0-0_093084_2014-05-21_final
2014-05-21 09:36:35	ga_ls7e_ard_3-0-0_093085_2014-05-21_final
2014-05-21 09:36:59	ga_ls7e_ard_3-0-0_093086_2014-05-21_final
2014-05-21 09:37:23	ga_ls7e_ard_3-1-0_093087_2014-05-21_final
2014-05-21 11:09:29	ga_ls7e_ard_3-0-0_109070_2014-05-21_final
2014-05-21 11:09:53	ga_ls7e_ard_3-0-0_109071_2014-05-21_final
2014-05-21 11:10:17	ga_ls7e_ard_3-0-0_109072_2014-05-21_final
2014-05-21 11:10:41	ga_ls7e_ard_3-0-0_109073_2014-05-21_final
2014-05-21 11:11:05	ga_ls7e_ard_3-0-0_109074_2014-05-21_final
2014-05-21 11:11:29	ga_ls7e_ard_3-0-0_109075_2014-05-21_final
2014-05-21 11:11:53	ga_ls7e_ard_3-0-0_109076_2014-05-21_final
2014-05-21 11:12:17	ga_ls7e_ard_3-0-0_109077_2014-05-21_final
2014-05-21 11:12:40	ga_ls7e_ard_3-0-0_109078_2014-05-21_final
2014-05-21 11:13:04	ga_ls7e_ard_3-0-0_109079_2014-05-21_final
2014-05-21 11:13:28	ga_ls7e_ard_3-0-0_109080_2014-05-21_final
2014-05-21 11:13:52	ga_ls7e_ard_3-1-0_109081_2014-05-21_final
2014-05-21 11:14:16	ga_ls7e_ard_3-0-0_109082_2014-05-21_final
2014-05-21 11:14:40	ga_ls7e_ard_3-0-0_109083_2014-05-21_final
2014-05-21 11:15:04	ga_ls7e_ard_3-0-0_109084_2014-05-21_final
2014-05-22 10:14:16	ga_ls7e_ard_3-0-0_100071_2014-05-22_final
2014-05-22 10:14:40	ga_ls7e_ard_3-0-0_100072_2014-05-22_final
2014-05-22 10:15:04	ga_ls7e_ard_3-0-0_100073_2014-05-22_final
2014-05-22 10:15:28	ga_ls7e_ard_3-0-0_100074_2014-05-22_final
2014-05-22 10:15:52	ga_ls7e_ard_3-0-0_100075_2014-05-22_final
2014-05-22 10:16:15	ga_ls7e_ard_3-0-0_100076_2014-05-22_final
2014-05-22 10:16:39	ga_ls7e_ard_3-0-0_100077_2014-05-22_final
2014-05-22 10:17:03	ga_ls7e_ard_3-0-0_100078_2014-05-22_final
2014-05-22 10:17:27	ga_ls7e_ard_3-0-0_100079_2014-05-22_final
2014-05-22 10:17:51	ga_ls7e_ard_3-0-0_100080_2014-05-22_final
2014-05-22 10:18:15	ga_ls7e_ard_3-0-0_100081_2014-05-22_final
2014-05-22 10:18:39	ga_ls7e_ard_3-0-0_100082_2014-05-22_final
2014-05-22 10:19:03	ga_ls7e_ard_3-0-0_100083_2014-05-22_final
2014-05-23 09:20:38	ga_ls7e_ard_3-0-0_091076_2014-05-22_final
2014-05-23 09:21:02	ga_ls7e_ard_3-0-0_091077_2014-05-22_final
2014-05-23 09:22:14	ga_ls7e_ard_3-0-0_091080_2014-05-22_final
2014-05-23 09:22:38	ga_ls7e_ard_3-1-0_091081_2014-05-22_final
2014-05-23 09:23:02	ga_ls7e_ard_3-0-0_091082_2014-05-22_final
2014-05-23 09:23:26	ga_ls7e_ard_3-0-0_091083_2014-05-22_final
2014-05-23 09:23:50	ga_ls7e_ard_3-0-0_091084_2014-05-22_final
2014-05-23 09:24:14	ga_ls7e_ard_3-0-0_091085_2014-05-22_final
2014-05-23 09:24:38	ga_ls7e_ard_3-1-0_091086_2014-05-22_final
2014-05-23 09:25:26	ga_ls7e_ard_3-0-0_091088_2014-05-22_final
2014-05-23 09:25:50	ga_ls7e_ard_3-0-0_091089_2014-05-22_final
2014-05-23 10:57:08	ga_ls7e_ard_3-0-0_107070_2014-05-23_final
2014-05-23 10:57:32	ga_ls7e_ard_3-0-0_107071_2014-05-23_final
2014-05-23 10:57:56	ga_ls7e_ard_3-0-0_107072_2014-05-23_final
2014-05-23 10:58:19	ga_ls7e_ard_3-0-0_107073_2014-05-23_final
2014-05-23 10:58:43	ga_ls7e_ard_3-0-0_107074_2014-05-23_final
2014-05-23 10:59:07	ga_ls7e_ard_3-0-0_107075_2014-05-23_final
2014-05-23 10:59:31	ga_ls7e_ard_3-0-0_107076_2014-05-23_final
2014-05-23 10:59:55	ga_ls7e_ard_3-0-0_107077_2014-05-23_final
2014-05-23 11:00:19	ga_ls7e_ard_3-0-0_107078_2014-05-23_final
2014-05-23 11:00:43	ga_ls7e_ard_3-0-0_107079_2014-05-23_final
2014-05-23 11:01:07	ga_ls7e_ard_3-0-0_107080_2014-05-23_final
2014-05-23 11:01:31	ga_ls7e_ard_3-0-0_107081_2014-05-23_final
2014-05-23 11:01:55	ga_ls7e_ard_3-0-0_107082_2014-05-23_final
2014-05-23 11:02:19	ga_ls7e_ard_3-0-0_107083_2014-05-23_final
2014-05-23 11:02:43	ga_ls7e_ard_3-0-0_107084_2014-05-23_final
2014-06-22 11:09:34	ga_ls7e_ard_3-0-0_109070_2014-06-22_final
2014-06-22 11:10:45	ga_ls7e_ard_3-0-0_109073_2014-06-22_final
2014-06-22 11:12:21	ga_ls7e_ard_3-0-0_109077_2014-06-22_final
2014-06-22 11:13:57	ga_ls7e_ard_3-1-0_109081_2014-06-22_final
2014-06-23 10:14:21	ga_ls7e_ard_3-0-0_100071_2014-06-23_final
2014-06-23 10:14:45	ga_ls7e_ard_3-0-0_100072_2014-06-23_final
2014-06-23 10:15:09	ga_ls7e_ard_3-0-0_100073_2014-06-23_final
2014-06-23 10:15:32	ga_ls7e_ard_3-0-0_100074_2014-06-23_final
2014-06-23 10:15:56	ga_ls7e_ard_3-0-0_100075_2014-06-23_final
2014-06-23 10:16:20	ga_ls7e_ard_3-0-0_100076_2014-06-23_final
2014-06-23 10:16:44	ga_ls7e_ard_3-0-0_100077_2014-06-23_final
2014-06-23 10:17:08	ga_ls7e_ard_3-0-0_100078_2014-06-23_final
2014-06-23 10:17:32	ga_ls7e_ard_3-0-0_100079_2014-06-23_final
2014-06-23 10:17:56	ga_ls7e_ard_3-0-0_100080_2014-06-23_final
2014-06-23 10:18:20	ga_ls7e_ard_3-0-0_100081_2014-06-23_final
2014-06-23 10:18:44	ga_ls7e_ard_3-0-0_100082_2014-06-23_final
2014-06-23 10:19:08	ga_ls7e_ard_3-0-0_100083_2014-06-23_final
2014-06-23 10:19:32	ga_ls7e_ard_3-0-0_100084_2014-06-23_final
2014-06-24 09:24:43	ga_ls7e_ard_3-1-0_091086_2014-06-23_final
2014-06-24 10:57:13	ga_ls7e_ard_3-0-0_107070_2014-06-24_final
2014-06-24 10:57:37	ga_ls7e_ard_3-0-0_107071_2014-06-24_final
2014-06-24 10:58:01	ga_ls7e_ard_3-0-0_107072_2014-06-24_final
2014-06-24 10:58:25	ga_ls7e_ard_3-0-0_107073_2014-06-24_final
2014-06-24 10:58:49	ga_ls7e_ard_3-0-0_107074_2014-06-24_final
2014-06-24 10:59:37	ga_ls7e_ard_3-0-0_107076_2014-06-24_final
2014-06-24 11:00:01	ga_ls7e_ard_3-0-0_107077_2014-06-24_final
2014-06-24 11:00:24	ga_ls7e_ard_3-0-0_107078_2014-06-24_final
2014-06-24 11:00:48	ga_ls7e_ard_3-0-0_107079_2014-06-24_final
2014-06-24 11:01:12	ga_ls7e_ard_3-0-0_107080_2014-06-24_final
2014-06-24 11:01:36	ga_ls7e_ard_3-0-0_107081_2014-06-24_final
2014-06-24 11:02:00	ga_ls7e_ard_3-0-0_107082_2014-06-24_final
2014-06-24 11:02:24	ga_ls7e_ard_3-0-0_107083_2014-06-24_final

Return to ga_ls7e_ard_3 across 2014 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

2014

All months