Search ga_ls7e_ard_3 across August 2017

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
2017-08-03 09:25:55	ga_ls7e_ard_3-0-0_091076_2017-08-02_final
2017-08-03 09:26:19	ga_ls7e_ard_3-0-0_091077_2017-08-02_final
2017-08-03 09:26:43	ga_ls7e_ard_3-0-0_091078_2017-08-02_final
2017-08-03 09:27:06	ga_ls7e_ard_3-0-0_091079_2017-08-02_final
2017-08-03 09:27:30	ga_ls7e_ard_3-0-0_091080_2017-08-02_final
2017-08-03 09:27:54	ga_ls7e_ard_3-0-0_091081_2017-08-02_final
2017-08-03 09:28:18	ga_ls7e_ard_3-0-0_091082_2017-08-02_final
2017-08-03 09:28:42	ga_ls7e_ard_3-0-0_091083_2017-08-02_final
2017-08-03 09:29:06	ga_ls7e_ard_3-0-0_091084_2017-08-02_final
2017-08-03 09:29:30	ga_ls7e_ard_3-0-0_091085_2017-08-02_final
2017-08-03 09:30:18	ga_ls7e_ard_3-0-0_091087_2017-08-03_final
2017-08-03 09:30:42	ga_ls7e_ard_3-0-0_091088_2017-08-03_final
2017-08-03 09:31:06	ga_ls7e_ard_3-0-0_091089_2017-08-03_final
2017-08-03 09:31:30	ga_ls7e_ard_3-0-0_091090_2017-08-03_final
2017-08-04 10:06:23	ga_ls7e_ard_3-0-0_098069_2017-08-04_final
2017-08-04 10:06:47	ga_ls7e_ard_3-0-0_098070_2017-08-04_final
2017-08-04 10:07:10	ga_ls7e_ard_3-0-0_098071_2017-08-04_final
2017-08-04 10:07:34	ga_ls7e_ard_3-0-0_098072_2017-08-04_final
2017-08-04 10:07:58	ga_ls7e_ard_3-0-0_098073_2017-08-04_final
2017-08-04 10:08:22	ga_ls7e_ard_3-0-0_098074_2017-08-04_final
2017-08-05 09:14:21	ga_ls7e_ard_3-0-0_089078_2017-08-04_final
2017-08-05 09:14:45	ga_ls7e_ard_3-0-0_089079_2017-08-04_final
2017-08-05 09:15:08	ga_ls7e_ard_3-0-0_089080_2017-08-04_final
2017-08-05 09:15:32	ga_ls7e_ard_3-1-0_089081_2017-08-04_final
2017-08-05 09:15:56	ga_ls7e_ard_3-0-0_089082_2017-08-04_final
2017-08-05 09:16:20	ga_ls7e_ard_3-0-0_089083_2017-08-04_final
2017-08-05 09:16:44	ga_ls7e_ard_3-0-0_089084_2017-08-04_final
2017-08-05 09:17:08	ga_ls7e_ard_3-0-0_089085_2017-08-04_final
2017-08-05 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-08-04_final
2017-08-22 09:54:24	ga_ls7e_ard_3-0-0_096070_2017-08-22_final
2017-08-22 09:54:48	ga_ls7e_ard_3-0-0_096071_2017-08-22_final
2017-08-22 09:55:12	ga_ls7e_ard_3-0-0_096072_2017-08-22_final
2017-08-22 09:55:36	ga_ls7e_ard_3-0-0_096073_2017-08-22_final
2017-08-22 09:56:00	ga_ls7e_ard_3-0-0_096074_2017-08-22_final
2017-08-22 09:56:23	ga_ls7e_ard_3-0-0_096075_2017-08-22_final
2017-08-22 09:56:47	ga_ls7e_ard_3-0-0_096076_2017-08-22_final
2017-08-22 09:57:11	ga_ls7e_ard_3-0-0_096077_2017-08-22_final
2017-08-22 09:57:35	ga_ls7e_ard_3-0-0_096078_2017-08-22_final
2017-08-22 09:57:59	ga_ls7e_ard_3-0-0_096079_2017-08-22_final
2017-08-22 09:58:23	ga_ls7e_ard_3-0-0_096080_2017-08-22_final
2017-08-22 09:58:47	ga_ls7e_ard_3-0-0_096081_2017-08-22_final
2017-08-22 09:59:11	ga_ls7e_ard_3-0-0_096082_2017-08-22_final
2017-08-22 09:59:35	ga_ls7e_ard_3-0-0_096083_2017-08-22_final
2017-08-22 09:59:59	ga_ls7e_ard_3-0-0_096084_2017-08-22_final
2017-08-22 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-08-22_final
2017-08-22 11:32:05	ga_ls7e_ard_3-0-0_112067_2017-08-22_final
2017-08-22 11:34:53	ga_ls7e_ard_3-0-0_112074_2017-08-22_final
2017-08-22 11:35:17	ga_ls7e_ard_3-0-0_112075_2017-08-22_final
2017-08-22 11:35:40	ga_ls7e_ard_3-0-0_112076_2017-08-22_final
2017-08-22 11:36:04	ga_ls7e_ard_3-0-0_112077_2017-08-22_final
2017-08-22 11:36:52	ga_ls7e_ard_3-0-0_112079_2017-08-22_final
2017-08-22 11:37:16	ga_ls7e_ard_3-0-0_112080_2017-08-22_final
2017-08-22 11:37:40	ga_ls7e_ard_3-0-0_112081_2017-08-22_final
2017-08-22 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-08-22_final
2017-08-22 11:38:28	ga_ls7e_ard_3-0-0_112083_2017-08-22_final
2017-08-22 11:38:52	ga_ls7e_ard_3-0-0_112084_2017-08-22_final
2017-08-23 10:36:52	ga_ls7e_ard_3-0-0_103068_2017-08-23_final
2017-08-23 10:37:16	ga_ls7e_ard_3-0-0_103069_2017-08-23_final
2017-08-23 10:37:40	ga_ls7e_ard_3-0-0_103070_2017-08-23_final
2017-08-23 10:38:03	ga_ls7e_ard_3-0-0_103071_2017-08-23_final
2017-08-23 10:38:27	ga_ls7e_ard_3-0-0_103072_2017-08-23_final
2017-08-23 10:38:51	ga_ls7e_ard_3-0-0_103073_2017-08-23_final
2017-08-23 10:39:15	ga_ls7e_ard_3-0-0_103074_2017-08-23_final
2017-08-23 10:39:39	ga_ls7e_ard_3-0-0_103075_2017-08-23_final
2017-08-23 10:40:03	ga_ls7e_ard_3-0-0_103076_2017-08-23_final
2017-08-23 10:40:27	ga_ls7e_ard_3-0-0_103077_2017-08-23_final
2017-08-23 10:40:51	ga_ls7e_ard_3-0-0_103078_2017-08-23_final
2017-08-23 10:41:15	ga_ls7e_ard_3-0-0_103079_2017-08-23_final
2017-08-23 10:41:39	ga_ls7e_ard_3-0-0_103080_2017-08-23_final
2017-08-23 10:42:03	ga_ls7e_ard_3-0-0_103081_2017-08-23_final
2017-08-23 10:42:27	ga_ls7e_ard_3-0-0_103082_2017-08-23_final
2017-08-24 09:40:50	ga_ls7e_ard_3-1-0_094067_2017-08-24_final
2017-08-24 09:43:14	ga_ls7e_ard_3-0-0_094073_2017-08-24_final
2017-08-24 09:43:38	ga_ls7e_ard_3-0-0_094074_2017-08-24_final
2017-08-24 09:44:02	ga_ls7e_ard_3-0-0_094075_2017-08-24_final
2017-08-24 09:44:26	ga_ls7e_ard_3-0-0_094076_2017-08-24_final
2017-08-24 09:44:50	ga_ls7e_ard_3-0-0_094077_2017-08-24_final
2017-08-24 09:45:14	ga_ls7e_ard_3-0-0_094078_2017-08-24_final
2017-08-24 09:45:38	ga_ls7e_ard_3-0-0_094079_2017-08-24_final
2017-08-24 09:46:02	ga_ls7e_ard_3-0-0_094080_2017-08-24_final
2017-08-24 09:46:26	ga_ls7e_ard_3-0-0_094081_2017-08-24_final
2017-08-24 09:46:50	ga_ls7e_ard_3-0-0_094082_2017-08-24_final
2017-08-24 09:47:13	ga_ls7e_ard_3-1-0_094083_2017-08-24_final
2017-08-24 09:47:37	ga_ls7e_ard_3-0-0_094084_2017-08-24_final
2017-08-24 09:48:01	ga_ls7e_ard_3-0-0_094085_2017-08-24_final
2017-08-24 09:48:25	ga_ls7e_ard_3-0-0_094086_2017-08-24_final
2017-08-24 09:48:49	ga_ls7e_ard_3-0-0_094087_2017-08-24_final
2017-08-24 11:19:43	ga_ls7e_ard_3-0-0_110067_2017-08-24_final
2017-08-24 11:20:55	ga_ls7e_ard_3-0-0_110070_2017-08-24_final
2017-08-24 11:21:19	ga_ls7e_ard_3-0-0_110071_2017-08-24_final
2017-08-24 11:21:43	ga_ls7e_ard_3-1-0_110072_2017-08-24_final
2017-08-24 11:22:07	ga_ls7e_ard_3-0-0_110073_2017-08-24_final
2017-08-24 11:22:31	ga_ls7e_ard_3-0-0_110074_2017-08-24_final
2017-08-24 11:22:55	ga_ls7e_ard_3-0-0_110075_2017-08-24_final
2017-08-24 11:23:19	ga_ls7e_ard_3-0-0_110076_2017-08-24_final
2017-08-24 11:23:43	ga_ls7e_ard_3-0-0_110077_2017-08-24_final
2017-08-24 11:24:07	ga_ls7e_ard_3-0-0_110078_2017-08-24_final
2017-08-24 11:25:19	ga_ls7e_ard_3-0-0_110081_2017-08-24_final
2017-08-24 11:25:43	ga_ls7e_ard_3-0-0_110082_2017-08-24_final
2017-08-24 11:26:07	ga_ls7e_ard_3-0-0_110083_2017-08-24_final

Return to ga_ls7e_ard_3 across August 2017 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

2017

August

All days