Search ga_ls7e_ard_3 across July 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
2014-07-02 10:07:02	ga_ls7e_ard_3-0-0_099068_2014-07-02_final
2014-07-02 10:07:26	ga_ls7e_ard_3-0-0_099069_2014-07-02_final
2014-07-02 10:07:50	ga_ls7e_ard_3-0-0_099070_2014-07-02_final
2014-07-02 10:08:14	ga_ls7e_ard_3-0-0_099071_2014-07-02_final
2014-07-02 10:08:38	ga_ls7e_ard_3-0-0_099072_2014-07-02_final
2014-07-02 10:09:02	ga_ls7e_ard_3-0-0_099073_2014-07-02_final
2014-07-02 10:09:26	ga_ls7e_ard_3-0-0_099074_2014-07-02_final
2014-07-02 10:09:50	ga_ls7e_ard_3-0-0_099075_2014-07-02_final
2014-07-02 10:10:13	ga_ls7e_ard_3-0-0_099076_2014-07-02_final
2014-07-02 10:10:37	ga_ls7e_ard_3-0-0_099077_2014-07-02_final
2014-07-02 10:11:01	ga_ls7e_ard_3-0-0_099078_2014-07-02_final
2014-07-02 10:11:25	ga_ls7e_ard_3-0-0_099079_2014-07-02_final
2014-07-02 10:11:49	ga_ls7e_ard_3-0-0_099080_2014-07-02_final
2014-07-02 10:12:13	ga_ls7e_ard_3-0-0_099081_2014-07-02_final
2014-07-02 10:12:37	ga_ls7e_ard_3-0-0_099082_2014-07-02_final
2014-07-02 10:13:01	ga_ls7e_ard_3-0-0_099083_2014-07-02_final
2014-07-02 10:13:25	ga_ls7e_ard_3-0-0_099084_2014-07-02_final
2014-07-02 11:48:19	ga_ls7e_ard_3-0-0_115074_2014-07-02_final
2014-07-02 11:48:43	ga_ls7e_ard_3-0-0_115075_2014-07-02_final
2014-07-02 11:49:07	ga_ls7e_ard_3-0-0_115076_2014-07-02_final
2014-07-02 11:49:31	ga_ls7e_ard_3-1-0_115077_2014-07-02_final
2014-07-03 09:15:00	ga_ls7e_ard_3-0-0_090077_2014-07-02_final
2014-07-03 09:15:24	ga_ls7e_ard_3-0-0_090078_2014-07-02_final
2014-07-03 09:15:48	ga_ls7e_ard_3-0-0_090079_2014-07-02_final
2014-07-03 09:16:12	ga_ls7e_ard_3-0-0_090080_2014-07-02_final
2014-07-03 09:16:36	ga_ls7e_ard_3-0-0_090081_2014-07-02_final
2014-07-03 09:17:00	ga_ls7e_ard_3-0-0_090082_2014-07-02_final
2014-07-03 09:17:24	ga_ls7e_ard_3-0-0_090083_2014-07-02_final
2014-07-03 09:17:48	ga_ls7e_ard_3-0-0_090084_2014-07-02_final
2014-07-03 09:18:12	ga_ls7e_ard_3-0-0_090085_2014-07-02_final
2014-07-03 09:18:36	ga_ls7e_ard_3-0-0_090086_2014-07-02_final
2014-07-03 09:19:24	ga_ls7e_ard_3-0-0_090088_2014-07-02_final
2014-07-03 09:19:48	ga_ls7e_ard_3-0-0_090089_2014-07-02_final
2014-07-03 09:20:12	ga_ls7e_ard_3-0-0_090090_2014-07-02_final
2014-07-03 10:50:18	ga_ls7e_ard_3-0-0_106068_2014-07-03_final
2014-07-03 10:50:42	ga_ls7e_ard_3-0-0_106069_2014-07-03_final
2014-07-03 10:51:06	ga_ls7e_ard_3-0-0_106070_2014-07-03_final
2014-07-03 10:51:30	ga_ls7e_ard_3-0-0_106071_2014-07-03_final
2014-07-03 10:51:54	ga_ls7e_ard_3-0-0_106072_2014-07-03_final
2014-07-03 10:52:18	ga_ls7e_ard_3-0-0_106073_2014-07-03_final
2014-07-03 10:52:42	ga_ls7e_ard_3-0-0_106074_2014-07-03_final
2014-07-03 10:53:06	ga_ls7e_ard_3-1-0_106075_2014-07-03_final
2014-07-03 10:53:29	ga_ls7e_ard_3-0-0_106076_2014-07-03_final
2014-07-03 10:53:53	ga_ls7e_ard_3-0-0_106077_2014-07-03_final
2014-07-03 10:54:17	ga_ls7e_ard_3-0-0_106078_2014-07-03_final
2014-07-03 10:54:41	ga_ls7e_ard_3-0-0_106079_2014-07-03_final
2014-07-03 10:55:05	ga_ls7e_ard_3-0-0_106080_2014-07-03_final
2014-07-03 10:55:29	ga_ls7e_ard_3-0-0_106081_2014-07-03_final
2014-07-03 10:55:53	ga_ls7e_ard_3-0-0_106082_2014-07-03_final
2014-07-03 10:56:17	ga_ls7e_ard_3-0-0_106083_2014-07-03_final
2014-07-04 09:55:29	ga_ls7e_ard_3-0-0_097070_2014-07-04_final
2014-07-04 09:55:53	ga_ls7e_ard_3-0-0_097071_2014-07-04_final
2014-07-04 09:56:17	ga_ls7e_ard_3-0-0_097072_2014-07-04_final
2014-07-04 09:56:41	ga_ls7e_ard_3-0-0_097073_2014-07-04_final
2014-07-04 09:57:05	ga_ls7e_ard_3-0-0_097074_2014-07-04_final
2014-07-04 09:57:28	ga_ls7e_ard_3-0-0_097075_2014-07-04_final
2014-07-04 09:57:52	ga_ls7e_ard_3-1-0_097076_2014-07-04_final
2014-07-04 09:58:16	ga_ls7e_ard_3-0-0_097077_2014-07-04_final
2014-07-04 09:58:40	ga_ls7e_ard_3-0-0_097078_2014-07-04_final
2014-07-04 09:59:04	ga_ls7e_ard_3-0-0_097079_2014-07-04_final
2014-07-04 09:59:28	ga_ls7e_ard_3-0-0_097080_2014-07-04_final
2014-07-04 09:59:52	ga_ls7e_ard_3-0-0_097081_2014-07-04_final
2014-07-04 10:00:16	ga_ls7e_ard_3-0-0_097082_2014-07-04_final
2014-07-04 10:00:40	ga_ls7e_ard_3-0-0_097083_2014-07-04_final
2014-07-04 10:01:04	ga_ls7e_ard_3-0-0_097084_2014-07-04_final
2014-07-04 10:01:28	ga_ls7e_ard_3-0-0_097085_2014-07-04_final
2014-07-04 11:33:10	ga_ls7e_ard_3-0-0_113067_2014-07-04_final
2014-07-04 11:35:58	ga_ls7e_ard_3-0-0_113074_2014-07-04_final
2014-07-04 11:36:22	ga_ls7e_ard_3-0-0_113075_2014-07-04_final
2014-07-04 11:36:46	ga_ls7e_ard_3-0-0_113076_2014-07-04_final
2014-07-04 11:37:09	ga_ls7e_ard_3-0-0_113077_2014-07-04_final
2014-07-04 11:37:33	ga_ls7e_ard_3-0-0_113078_2014-07-04_final
2014-07-04 11:37:57	ga_ls7e_ard_3-0-0_113079_2014-07-04_final
2014-07-04 11:38:21	ga_ls7e_ard_3-0-0_113080_2014-07-04_final
2014-07-04 11:38:45	ga_ls7e_ard_3-0-0_113081_2014-07-04_final
2014-07-04 11:39:09	ga_ls7e_ard_3-0-0_113082_2014-07-04_final
2014-07-04 11:39:57	ga_ls7e_ard_3-0-0_113084_2014-07-04_final
2014-07-05 09:03:51	ga_ls7e_ard_3-0-0_088080_2014-07-04_final
2014-07-05 09:04:15	ga_ls7e_ard_3-0-0_088081_2014-07-04_final
2014-07-05 09:04:39	ga_ls7e_ard_3-0-0_088082_2014-07-04_final
2014-07-05 10:37:57	ga_ls7e_ard_3-0-0_104068_2014-07-05_final
2014-07-05 10:38:21	ga_ls7e_ard_3-0-0_104069_2014-07-05_final
2014-07-05 10:38:45	ga_ls7e_ard_3-1-0_104070_2014-07-05_final
2014-07-05 10:39:09	ga_ls7e_ard_3-0-0_104071_2014-07-05_final
2014-07-05 10:39:33	ga_ls7e_ard_3-0-0_104072_2014-07-05_final
2014-07-05 10:39:57	ga_ls7e_ard_3-0-0_104073_2014-07-05_final
2014-07-05 10:40:20	ga_ls7e_ard_3-0-0_104074_2014-07-05_final
2014-07-05 10:40:44	ga_ls7e_ard_3-0-0_104075_2014-07-05_final
2014-07-05 10:41:08	ga_ls7e_ard_3-0-0_104076_2014-07-05_final
2014-07-05 10:41:32	ga_ls7e_ard_3-0-0_104077_2014-07-05_final
2014-07-05 10:41:56	ga_ls7e_ard_3-0-0_104078_2014-07-05_final
2014-07-05 10:42:20	ga_ls7e_ard_3-0-0_104079_2014-07-05_final
2014-07-05 10:42:44	ga_ls7e_ard_3-0-0_104080_2014-07-05_final
2014-07-05 10:43:08	ga_ls7e_ard_3-0-0_104081_2014-07-05_final
2014-07-05 10:43:32	ga_ls7e_ard_3-0-0_104082_2014-07-05_final
2014-07-31 09:35:52	ga_ls7e_ard_3-1-0_094067_2014-07-31_final
2014-07-31 09:38:15	ga_ls7e_ard_3-0-0_094073_2014-07-31_final
2014-07-31 09:38:39	ga_ls7e_ard_3-0-0_094074_2014-07-31_final
2014-07-31 09:39:03	ga_ls7e_ard_3-0-0_094075_2014-07-31_final
2014-07-31 09:39:27	ga_ls7e_ard_3-0-0_094076_2014-07-31_final

Return to ga_ls7e_ard_3 across July 2014 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

2014

July

All days