Search ga_ls7e_ard_3 across June 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
2014-06-19 09:04:08	ga_ls7e_ard_3-0-0_088081_2014-06-18_final
2014-06-19 09:04:32	ga_ls7e_ard_3-0-0_088082_2014-06-18_final
2014-06-20 09:43:49	ga_ls7e_ard_3-0-0_095072_2014-06-20_final
2014-06-20 09:44:13	ga_ls7e_ard_3-1-0_095073_2014-06-20_final
2014-06-20 09:44:37	ga_ls7e_ard_3-0-0_095074_2014-06-20_final
2014-06-20 09:45:01	ga_ls7e_ard_3-0-0_095075_2014-06-20_final
2014-06-20 09:45:25	ga_ls7e_ard_3-0-0_095076_2014-06-20_final
2014-06-20 09:45:49	ga_ls7e_ard_3-0-0_095077_2014-06-20_final
2014-06-20 09:46:13	ga_ls7e_ard_3-0-0_095078_2014-06-20_final
2014-06-20 09:46:36	ga_ls7e_ard_3-1-0_095079_2014-06-20_final
2014-06-20 09:47:00	ga_ls7e_ard_3-0-0_095080_2014-06-20_final
2014-06-20 09:47:24	ga_ls7e_ard_3-0-0_095081_2014-06-20_final
2014-06-20 09:47:48	ga_ls7e_ard_3-0-0_095082_2014-06-20_final
2014-06-20 09:48:12	ga_ls7e_ard_3-0-0_095083_2014-06-20_final
2014-06-20 09:48:36	ga_ls7e_ard_3-0-0_095084_2014-06-20_final
2014-06-20 09:49:00	ga_ls7e_ard_3-0-0_095085_2014-06-20_final
2014-06-20 09:49:24	ga_ls7e_ard_3-0-0_095086_2014-06-20_final
2014-06-25 10:00:24	ga_ls7e_ard_3-0-0_098067_2014-06-25_final
2014-06-25 10:00:48	ga_ls7e_ard_3-0-0_098068_2014-06-25_final
2014-06-25 10:01:12	ga_ls7e_ard_3-0-0_098069_2014-06-25_final
2014-06-25 10:01:36	ga_ls7e_ard_3-0-0_098070_2014-06-25_final
2014-06-25 10:02:00	ga_ls7e_ard_3-0-0_098071_2014-06-25_final
2014-06-25 10:02:24	ga_ls7e_ard_3-0-0_098072_2014-06-25_final
2014-06-25 10:02:48	ga_ls7e_ard_3-0-0_098073_2014-06-25_final
2014-06-25 10:03:12	ga_ls7e_ard_3-0-0_098074_2014-06-25_final
2014-06-25 10:03:36	ga_ls7e_ard_3-0-0_098075_2014-06-25_final
2014-06-25 10:04:00	ga_ls7e_ard_3-0-0_098076_2014-06-25_final
2014-06-25 10:04:24	ga_ls7e_ard_3-0-0_098077_2014-06-25_final
2014-06-25 10:04:48	ga_ls7e_ard_3-0-0_098078_2014-06-25_final
2014-06-25 10:05:12	ga_ls7e_ard_3-0-0_098079_2014-06-25_final
2014-06-25 10:05:36	ga_ls7e_ard_3-1-0_098080_2014-06-25_final
2014-06-25 10:05:59	ga_ls7e_ard_3-0-0_098081_2014-06-25_final
2014-06-25 10:06:23	ga_ls7e_ard_3-0-0_098082_2014-06-25_final
2014-06-25 10:06:47	ga_ls7e_ard_3-0-0_098083_2014-06-25_final
2014-06-25 10:07:11	ga_ls7e_ard_3-0-0_098084_2014-06-25_final
2014-06-25 10:07:35	ga_ls7e_ard_3-0-0_098085_2014-06-25_final
2014-06-25 11:39:17	ga_ls7e_ard_3-0-0_114067_2014-06-25_final
2014-06-25 11:42:05	ga_ls7e_ard_3-0-0_114074_2014-06-25_final
2014-06-25 11:42:29	ga_ls7e_ard_3-0-0_114075_2014-06-25_final
2014-06-25 11:42:53	ga_ls7e_ard_3-0-0_114076_2014-06-25_final
2014-06-25 11:43:17	ga_ls7e_ard_3-0-0_114077_2014-06-25_final
2014-06-25 11:43:41	ga_ls7e_ard_3-0-0_114078_2014-06-25_final
2014-06-25 11:44:05	ga_ls7e_ard_3-0-0_114079_2014-06-25_final
2014-06-25 11:44:29	ga_ls7e_ard_3-0-0_114080_2014-06-25_final
2014-06-25 11:44:53	ga_ls7e_ard_3-0-0_114081_2014-06-25_final
2014-06-26 09:08:47	ga_ls7e_ard_3-0-0_089077_2014-06-25_final
2014-06-26 09:09:11	ga_ls7e_ard_3-0-0_089078_2014-06-25_final
2014-06-26 09:09:35	ga_ls7e_ard_3-0-0_089079_2014-06-25_final
2014-06-26 09:09:59	ga_ls7e_ard_3-0-0_089080_2014-06-25_final
2014-06-26 09:10:23	ga_ls7e_ard_3-1-0_089081_2014-06-25_final
2014-06-26 09:10:47	ga_ls7e_ard_3-0-0_089082_2014-06-25_final
2014-06-26 09:11:11	ga_ls7e_ard_3-0-0_089083_2014-06-25_final
2014-06-26 09:11:34	ga_ls7e_ard_3-0-0_089084_2014-06-25_final
2014-06-26 09:11:58	ga_ls7e_ard_3-0-0_089085_2014-06-25_final
2014-06-26 09:12:22	ga_ls7e_ard_3-0-0_089086_2014-06-25_final
2014-06-26 09:13:34	ga_ls7e_ard_3-1-0_089089_2014-06-25_final
2014-06-26 09:13:58	ga_ls7e_ard_3-0-0_089090_2014-06-25_final
2014-06-26 10:44:04	ga_ls7e_ard_3-0-0_105068_2014-06-26_final
2014-06-26 10:44:28	ga_ls7e_ard_3-0-0_105069_2014-06-26_final
2014-06-26 10:44:52	ga_ls7e_ard_3-0-0_105070_2014-06-26_final
2014-06-26 10:45:16	ga_ls7e_ard_3-0-0_105071_2014-06-26_final
2014-06-26 10:45:40	ga_ls7e_ard_3-0-0_105072_2014-06-26_final
2014-06-26 10:46:04	ga_ls7e_ard_3-0-0_105073_2014-06-26_final
2014-06-26 10:46:28	ga_ls7e_ard_3-0-0_105074_2014-06-26_final
2014-06-26 10:46:52	ga_ls7e_ard_3-0-0_105075_2014-06-26_final
2014-06-26 10:47:16	ga_ls7e_ard_3-0-0_105076_2014-06-26_final
2014-06-26 10:47:40	ga_ls7e_ard_3-0-0_105077_2014-06-26_final
2014-06-26 10:48:04	ga_ls7e_ard_3-0-0_105078_2014-06-26_final
2014-06-26 10:48:28	ga_ls7e_ard_3-0-0_105079_2014-06-26_final
2014-06-26 10:48:52	ga_ls7e_ard_3-1-0_105080_2014-06-26_final
2014-06-26 10:49:16	ga_ls7e_ard_3-0-0_105081_2014-06-26_final
2014-06-26 10:49:40	ga_ls7e_ard_3-0-0_105082_2014-06-26_final
2014-06-27 09:48:04	ga_ls7e_ard_3-0-0_096067_2014-06-27_final
2014-06-27 09:49:15	ga_ls7e_ard_3-0-0_096070_2014-06-27_final
2014-06-27 09:49:39	ga_ls7e_ard_3-0-0_096071_2014-06-27_final
2014-06-27 09:50:03	ga_ls7e_ard_3-0-0_096072_2014-06-27_final
2014-06-27 09:50:27	ga_ls7e_ard_3-0-0_096073_2014-06-27_final
2014-06-27 09:50:51	ga_ls7e_ard_3-0-0_096074_2014-06-27_final
2014-06-27 09:51:15	ga_ls7e_ard_3-0-0_096075_2014-06-27_final
2014-06-27 09:51:39	ga_ls7e_ard_3-0-0_096076_2014-06-27_final
2014-06-27 09:52:03	ga_ls7e_ard_3-0-0_096077_2014-06-27_final
2014-06-27 09:52:27	ga_ls7e_ard_3-0-0_096078_2014-06-27_final
2014-06-27 09:52:51	ga_ls7e_ard_3-0-0_096079_2014-06-27_final
2014-06-27 09:53:15	ga_ls7e_ard_3-0-0_096080_2014-06-27_final
2014-06-27 09:53:39	ga_ls7e_ard_3-0-0_096081_2014-06-27_final
2014-06-27 09:54:03	ga_ls7e_ard_3-0-0_096082_2014-06-27_final
2014-06-27 09:54:27	ga_ls7e_ard_3-0-0_096083_2014-06-27_final
2014-06-27 09:54:51	ga_ls7e_ard_3-0-0_096084_2014-06-27_final
2014-06-27 09:55:15	ga_ls7e_ard_3-0-0_096085_2014-06-27_final
2014-06-27 09:55:39	ga_ls7e_ard_3-1-0_096086_2014-06-27_final
2014-06-27 11:29:44	ga_ls7e_ard_3-0-0_112074_2014-06-27_final
2014-06-27 11:30:08	ga_ls7e_ard_3-0-0_112075_2014-06-27_final
2014-06-27 11:30:32	ga_ls7e_ard_3-0-0_112076_2014-06-27_final
2014-06-27 11:30:56	ga_ls7e_ard_3-0-0_112077_2014-06-27_final
2014-06-27 11:31:20	ga_ls7e_ard_3-0-0_112078_2014-06-27_final
2014-06-27 11:31:44	ga_ls7e_ard_3-1-0_112079_2014-06-27_final
2014-06-27 11:32:08	ga_ls7e_ard_3-0-0_112080_2014-06-27_final
2014-06-27 11:32:32	ga_ls7e_ard_3-0-0_112081_2014-06-27_final
2014-06-27 11:32:56	ga_ls7e_ard_3-0-0_112082_2014-06-27_final
2014-06-27 11:33:20	ga_ls7e_ard_3-0-0_112083_2014-06-27_final

Return to ga_ls7e_ard_3 across June 2014 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

2014

June

All days