Search ga_ls7e_ard_3 across August 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
2015-08-13 10:16:44	ga_ls7e_ard_3-0-0_100071_2015-08-13_final
2015-08-13 10:17:08	ga_ls7e_ard_3-0-0_100072_2015-08-13_final
2015-08-13 10:17:32	ga_ls7e_ard_3-0-0_100073_2015-08-13_final
2015-08-13 10:17:56	ga_ls7e_ard_3-0-0_100074_2015-08-13_final
2015-08-13 10:18:20	ga_ls7e_ard_3-0-0_100075_2015-08-13_final
2015-08-13 10:18:44	ga_ls7e_ard_3-0-0_100076_2015-08-13_final
2015-08-13 10:19:08	ga_ls7e_ard_3-0-0_100077_2015-08-13_final
2015-08-13 10:19:32	ga_ls7e_ard_3-0-0_100078_2015-08-13_final
2015-08-13 10:19:56	ga_ls7e_ard_3-0-0_100079_2015-08-13_final
2015-08-13 10:20:20	ga_ls7e_ard_3-0-0_100080_2015-08-13_final
2015-08-13 10:20:44	ga_ls7e_ard_3-0-0_100081_2015-08-13_final
2015-08-13 10:21:08	ga_ls7e_ard_3-0-0_100082_2015-08-13_final
2015-08-13 10:21:32	ga_ls7e_ard_3-0-0_100083_2015-08-13_final
2015-08-13 10:21:56	ga_ls7e_ard_3-0-0_100084_2015-08-13_final
2015-08-14 09:23:07	ga_ls7e_ard_3-0-0_091076_2015-08-13_final
2015-08-14 09:23:31	ga_ls7e_ard_3-0-0_091077_2015-08-13_final
2015-08-14 09:23:55	ga_ls7e_ard_3-0-0_091078_2015-08-13_final
2015-08-14 09:24:19	ga_ls7e_ard_3-0-0_091079_2015-08-13_final
2015-08-14 09:24:43	ga_ls7e_ard_3-0-0_091080_2015-08-13_final
2015-08-14 09:25:07	ga_ls7e_ard_3-0-0_091081_2015-08-13_final
2015-08-14 09:25:31	ga_ls7e_ard_3-0-0_091082_2015-08-13_final
2015-08-14 09:25:55	ga_ls7e_ard_3-0-0_091083_2015-08-13_final
2015-08-14 09:26:43	ga_ls7e_ard_3-0-0_091085_2015-08-13_final
2015-08-14 09:27:06	ga_ls7e_ard_3-1-0_091086_2015-08-13_final
2015-08-14 09:27:30	ga_ls7e_ard_3-0-0_091087_2015-08-13_final
2015-08-14 09:27:54	ga_ls7e_ard_3-0-0_091088_2015-08-13_final
2015-08-14 09:28:18	ga_ls7e_ard_3-0-0_091089_2015-08-13_final
2015-08-14 09:28:42	ga_ls7e_ard_3-0-0_091090_2015-08-13_final
2015-08-14 10:59:36	ga_ls7e_ard_3-0-0_107070_2015-08-14_final
2015-08-14 11:00:00	ga_ls7e_ard_3-0-0_107071_2015-08-14_final
2015-08-14 11:00:24	ga_ls7e_ard_3-0-0_107072_2015-08-14_final
2015-08-14 11:00:48	ga_ls7e_ard_3-0-0_107073_2015-08-14_final
2015-08-14 11:01:12	ga_ls7e_ard_3-0-0_107074_2015-08-14_final
2015-08-14 11:01:36	ga_ls7e_ard_3-0-0_107075_2015-08-14_final
2015-08-14 11:02:00	ga_ls7e_ard_3-0-0_107076_2015-08-14_final
2015-08-14 11:02:24	ga_ls7e_ard_3-0-0_107077_2015-08-14_final
2015-08-14 11:02:48	ga_ls7e_ard_3-0-0_107078_2015-08-14_final
2015-08-14 11:03:12	ga_ls7e_ard_3-0-0_107079_2015-08-14_final
2015-08-14 11:03:36	ga_ls7e_ard_3-0-0_107080_2015-08-14_final
2015-08-14 11:04:00	ga_ls7e_ard_3-0-0_107081_2015-08-14_final
2015-08-14 11:04:24	ga_ls7e_ard_3-0-0_107082_2015-08-14_final
2015-08-14 11:04:48	ga_ls7e_ard_3-0-0_107083_2015-08-14_final
2015-08-14 11:05:12	ga_ls7e_ard_3-0-0_107084_2015-08-14_final
2015-08-15 10:02:47	ga_ls7e_ard_3-0-0_098067_2015-08-15_final
2015-08-15 10:03:11	ga_ls7e_ard_3-0-0_098068_2015-08-15_final
2015-08-15 10:03:35	ga_ls7e_ard_3-0-0_098069_2015-08-15_final
2015-08-15 10:03:59	ga_ls7e_ard_3-0-0_098070_2015-08-15_final
2015-08-15 10:04:23	ga_ls7e_ard_3-0-0_098071_2015-08-15_final
2015-08-15 10:04:47	ga_ls7e_ard_3-0-0_098072_2015-08-15_final
2015-08-15 10:05:11	ga_ls7e_ard_3-0-0_098073_2015-08-15_final
2015-08-15 10:05:35	ga_ls7e_ard_3-0-0_098074_2015-08-15_final
2015-08-15 10:05:59	ga_ls7e_ard_3-0-0_098075_2015-08-15_final
2015-08-15 10:06:23	ga_ls7e_ard_3-0-0_098076_2015-08-15_final
2015-08-15 10:06:47	ga_ls7e_ard_3-0-0_098077_2015-08-15_final
2015-08-15 10:07:11	ga_ls7e_ard_3-0-0_098078_2015-08-15_final
2015-08-15 10:07:35	ga_ls7e_ard_3-0-0_098079_2015-08-15_final
2015-08-15 10:07:59	ga_ls7e_ard_3-0-0_098080_2015-08-15_final
2015-08-15 10:08:23	ga_ls7e_ard_3-0-0_098081_2015-08-15_final
2015-08-15 10:08:47	ga_ls7e_ard_3-0-0_098082_2015-08-15_final
2015-08-15 10:09:10	ga_ls7e_ard_3-0-0_098083_2015-08-15_final
2015-08-15 10:09:34	ga_ls7e_ard_3-0-0_098084_2015-08-15_final
2015-08-15 10:09:58	ga_ls7e_ard_3-0-0_098085_2015-08-15_final
2015-08-15 11:41:41	ga_ls7e_ard_3-0-0_114067_2015-08-15_final
2015-08-15 11:44:28	ga_ls7e_ard_3-0-0_114074_2015-08-15_final
2015-08-15 11:44:52	ga_ls7e_ard_3-0-0_114075_2015-08-15_final
2015-08-15 11:45:40	ga_ls7e_ard_3-0-0_114077_2015-08-15_final
2015-08-15 11:46:04	ga_ls7e_ard_3-0-0_114078_2015-08-15_final
2015-08-15 11:46:28	ga_ls7e_ard_3-0-0_114079_2015-08-15_final
2015-08-15 11:46:52	ga_ls7e_ard_3-0-0_114080_2015-08-15_final
2015-08-15 11:47:16	ga_ls7e_ard_3-0-0_114081_2015-08-15_final
2015-08-16 09:11:34	ga_ls7e_ard_3-0-0_089078_2015-08-15_final
2015-08-16 09:11:57	ga_ls7e_ard_3-0-0_089079_2015-08-15_final
2015-08-16 09:12:21	ga_ls7e_ard_3-0-0_089080_2015-08-15_final
2015-08-16 09:12:45	ga_ls7e_ard_3-1-0_089081_2015-08-15_final
2015-08-16 09:13:09	ga_ls7e_ard_3-0-0_089082_2015-08-15_final
2015-08-16 09:13:33	ga_ls7e_ard_3-0-0_089083_2015-08-15_final
2015-08-16 09:13:57	ga_ls7e_ard_3-0-0_089084_2015-08-15_final
2015-08-16 09:14:21	ga_ls7e_ard_3-0-0_089085_2015-08-15_final
2015-08-16 09:14:45	ga_ls7e_ard_3-0-0_089086_2015-08-15_final
2015-08-16 09:15:57	ga_ls7e_ard_3-0-0_089089_2015-08-15_final
2015-08-17 09:50:26	ga_ls7e_ard_3-0-0_096067_2015-08-17_final
2015-08-17 09:51:38	ga_ls7e_ard_3-0-0_096070_2015-08-17_final
2015-08-17 09:52:02	ga_ls7e_ard_3-0-0_096071_2015-08-17_final
2015-08-17 09:52:26	ga_ls7e_ard_3-0-0_096072_2015-08-17_final
2015-08-17 09:52:50	ga_ls7e_ard_3-0-0_096073_2015-08-17_final
2015-08-17 09:53:14	ga_ls7e_ard_3-0-0_096074_2015-08-17_final
2015-08-17 09:53:38	ga_ls7e_ard_3-0-0_096075_2015-08-17_final
2015-08-17 09:54:01	ga_ls7e_ard_3-0-0_096076_2015-08-17_final
2015-08-17 09:54:25	ga_ls7e_ard_3-0-0_096077_2015-08-17_final
2015-08-17 09:54:49	ga_ls7e_ard_3-0-0_096078_2015-08-17_final
2015-08-17 09:55:13	ga_ls7e_ard_3-0-0_096079_2015-08-17_final
2015-08-17 09:55:37	ga_ls7e_ard_3-0-0_096080_2015-08-17_final
2015-08-17 09:56:01	ga_ls7e_ard_3-1-0_096081_2015-08-17_final
2015-08-17 09:56:25	ga_ls7e_ard_3-0-0_096082_2015-08-17_final
2015-08-17 09:56:49	ga_ls7e_ard_3-0-0_096083_2015-08-17_final
2015-08-17 09:57:13	ga_ls7e_ard_3-0-0_096084_2015-08-17_final
2015-08-17 09:57:37	ga_ls7e_ard_3-0-0_096085_2015-08-17_final
2015-08-17 09:58:01	ga_ls7e_ard_3-1-0_096086_2015-08-17_final
2015-08-18 10:34:06	ga_ls7e_ard_3-0-0_103068_2015-08-18_final
2015-08-18 10:34:30	ga_ls7e_ard_3-0-0_103069_2015-08-18_final

Return to ga_ls7e_ard_3 across August 2015 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

2015

August

All days