Search ga_ls7e_ard_3 across May 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
2015-05-11 10:02:21	ga_ls7e_ard_3-0-0_098067_2015-05-11_final
2015-05-11 10:02:45	ga_ls7e_ard_3-0-0_098068_2015-05-11_final
2015-05-11 10:03:09	ga_ls7e_ard_3-0-0_098069_2015-05-11_final
2015-05-11 10:03:33	ga_ls7e_ard_3-0-0_098070_2015-05-11_final
2015-05-11 10:03:57	ga_ls7e_ard_3-0-0_098071_2015-05-11_final
2015-05-11 10:04:21	ga_ls7e_ard_3-0-0_098072_2015-05-11_final
2015-05-11 10:04:45	ga_ls7e_ard_3-0-0_098073_2015-05-11_final
2015-05-11 10:05:09	ga_ls7e_ard_3-0-0_098074_2015-05-11_final
2015-05-11 10:05:33	ga_ls7e_ard_3-0-0_098075_2015-05-11_final
2015-05-11 10:05:57	ga_ls7e_ard_3-0-0_098076_2015-05-11_final
2015-05-11 10:06:20	ga_ls7e_ard_3-0-0_098077_2015-05-11_final
2015-05-11 10:06:44	ga_ls7e_ard_3-0-0_098078_2015-05-11_final
2015-05-11 10:07:08	ga_ls7e_ard_3-0-0_098079_2015-05-11_final
2015-05-11 10:07:32	ga_ls7e_ard_3-0-0_098080_2015-05-11_final
2015-05-11 10:07:56	ga_ls7e_ard_3-0-0_098081_2015-05-11_final
2015-05-11 10:08:20	ga_ls7e_ard_3-0-0_098082_2015-05-11_final
2015-05-11 10:09:08	ga_ls7e_ard_3-0-0_098084_2015-05-11_final
2015-05-11 11:41:14	ga_ls7e_ard_3-0-0_114067_2015-05-11_final
2015-05-11 11:44:02	ga_ls7e_ard_3-0-0_114074_2015-05-11_final
2015-05-11 11:44:26	ga_ls7e_ard_3-0-0_114075_2015-05-11_final
2015-05-11 11:44:50	ga_ls7e_ard_3-0-0_114076_2015-05-11_final
2015-05-11 11:45:14	ga_ls7e_ard_3-0-0_114077_2015-05-11_final
2015-05-11 11:45:38	ga_ls7e_ard_3-0-0_114078_2015-05-11_final
2015-05-11 11:46:01	ga_ls7e_ard_3-0-0_114079_2015-05-11_final
2015-05-11 11:46:25	ga_ls7e_ard_3-0-0_114080_2015-05-11_final
2015-05-11 11:46:49	ga_ls7e_ard_3-0-0_114081_2015-05-11_final
2015-05-12 09:10:44	ga_ls7e_ard_3-0-0_089077_2015-05-11_final
2015-05-12 09:11:08	ga_ls7e_ard_3-0-0_089078_2015-05-11_final
2015-05-12 09:11:32	ga_ls7e_ard_3-0-0_089079_2015-05-11_final
2015-05-12 09:11:56	ga_ls7e_ard_3-0-0_089080_2015-05-11_final
2015-05-12 09:12:20	ga_ls7e_ard_3-1-0_089081_2015-05-11_final
2015-05-12 09:12:44	ga_ls7e_ard_3-0-0_089082_2015-05-11_final
2015-05-12 09:13:07	ga_ls7e_ard_3-0-0_089083_2015-05-11_final
2015-05-12 09:13:31	ga_ls7e_ard_3-0-0_089084_2015-05-11_final
2015-05-12 09:13:55	ga_ls7e_ard_3-0-0_089085_2015-05-11_final
2015-05-12 09:14:19	ga_ls7e_ard_3-0-0_089086_2015-05-11_final
2015-05-12 09:15:31	ga_ls7e_ard_3-0-0_089089_2015-05-11_final
2015-05-12 09:15:55	ga_ls7e_ard_3-0-0_089090_2015-05-11_final
2015-05-12 10:46:01	ga_ls7e_ard_3-0-0_105068_2015-05-12_final
2015-05-12 10:46:25	ga_ls7e_ard_3-0-0_105069_2015-05-12_final
2015-05-12 10:46:49	ga_ls7e_ard_3-0-0_105070_2015-05-12_final
2015-05-12 10:47:13	ga_ls7e_ard_3-0-0_105071_2015-05-12_final
2015-05-12 10:47:37	ga_ls7e_ard_3-0-0_105072_2015-05-12_final
2015-05-12 10:48:01	ga_ls7e_ard_3-0-0_105073_2015-05-12_final
2015-05-12 10:48:25	ga_ls7e_ard_3-0-0_105074_2015-05-12_final
2015-05-12 10:48:49	ga_ls7e_ard_3-0-0_105075_2015-05-12_final
2015-05-12 10:49:13	ga_ls7e_ard_3-0-0_105076_2015-05-12_final
2015-05-12 10:49:37	ga_ls7e_ard_3-0-0_105077_2015-05-12_final
2015-05-12 10:50:01	ga_ls7e_ard_3-0-0_105078_2015-05-12_final
2015-05-12 10:50:25	ga_ls7e_ard_3-0-0_105079_2015-05-12_final
2015-05-12 10:50:49	ga_ls7e_ard_3-1-0_105080_2015-05-12_final
2015-05-12 10:51:37	ga_ls7e_ard_3-0-0_105082_2015-05-12_final
2015-05-13 09:51:13	ga_ls7e_ard_3-0-0_096070_2015-05-13_final
2015-05-13 09:51:36	ga_ls7e_ard_3-0-0_096071_2015-05-13_final
2015-05-13 09:52:00	ga_ls7e_ard_3-0-0_096072_2015-05-13_final
2015-05-13 09:52:24	ga_ls7e_ard_3-0-0_096073_2015-05-13_final
2015-05-13 09:52:48	ga_ls7e_ard_3-0-0_096074_2015-05-13_final
2015-05-13 09:53:12	ga_ls7e_ard_3-0-0_096075_2015-05-13_final
2015-05-13 09:53:36	ga_ls7e_ard_3-0-0_096076_2015-05-13_final
2015-05-13 09:54:00	ga_ls7e_ard_3-0-0_096077_2015-05-13_final
2015-05-13 09:54:24	ga_ls7e_ard_3-0-0_096078_2015-05-13_final
2015-05-13 09:54:48	ga_ls7e_ard_3-0-0_096079_2015-05-13_final
2015-05-13 09:55:12	ga_ls7e_ard_3-0-0_096080_2015-05-13_final
2015-05-13 09:55:36	ga_ls7e_ard_3-0-0_096081_2015-05-13_final
2015-05-13 09:56:00	ga_ls7e_ard_3-0-0_096082_2015-05-13_final
2015-05-13 09:56:24	ga_ls7e_ard_3-0-0_096083_2015-05-13_final
2015-05-13 09:56:48	ga_ls7e_ard_3-0-0_096084_2015-05-13_final
2015-05-13 09:57:12	ga_ls7e_ard_3-0-0_096085_2015-05-13_final
2015-05-13 09:57:36	ga_ls7e_ard_3-1-0_096086_2015-05-13_final
2015-05-13 11:28:54	ga_ls7e_ard_3-0-0_112067_2015-05-13_final
2015-05-13 11:31:41	ga_ls7e_ard_3-0-0_112074_2015-05-13_final
2015-05-13 11:32:05	ga_ls7e_ard_3-0-0_112075_2015-05-13_final
2015-05-13 11:32:29	ga_ls7e_ard_3-0-0_112076_2015-05-13_final
2015-05-13 11:32:53	ga_ls7e_ard_3-0-0_112077_2015-05-13_final
2015-05-13 11:33:17	ga_ls7e_ard_3-0-0_112078_2015-05-13_final
2015-05-13 11:33:41	ga_ls7e_ard_3-0-0_112079_2015-05-13_final
2015-05-13 11:34:05	ga_ls7e_ard_3-0-0_112080_2015-05-13_final
2015-05-13 11:34:29	ga_ls7e_ard_3-0-0_112081_2015-05-13_final
2015-05-13 11:34:53	ga_ls7e_ard_3-0-0_112082_2015-05-13_final
2015-05-13 11:35:17	ga_ls7e_ard_3-0-0_112083_2015-05-13_final
2015-05-13 11:35:41	ga_ls7e_ard_3-0-0_112084_2015-05-13_final
2015-05-14 10:33:41	ga_ls7e_ard_3-0-0_103068_2015-05-14_final
2015-05-14 10:34:05	ga_ls7e_ard_3-0-0_103069_2015-05-14_final
2015-05-14 10:34:29	ga_ls7e_ard_3-0-0_103070_2015-05-14_final
2015-05-14 10:34:53	ga_ls7e_ard_3-0-0_103071_2015-05-14_final
2015-05-14 10:35:17	ga_ls7e_ard_3-0-0_103072_2015-05-14_final
2015-05-14 10:35:40	ga_ls7e_ard_3-0-0_103073_2015-05-14_final
2015-05-14 10:36:04	ga_ls7e_ard_3-0-0_103074_2015-05-14_final
2015-05-14 10:36:28	ga_ls7e_ard_3-0-0_103075_2015-05-14_final
2015-05-14 10:36:52	ga_ls7e_ard_3-0-0_103076_2015-05-14_final
2015-05-14 10:37:16	ga_ls7e_ard_3-0-0_103077_2015-05-14_final
2015-05-14 10:37:40	ga_ls7e_ard_3-0-0_103078_2015-05-14_final
2015-05-14 10:38:04	ga_ls7e_ard_3-0-0_103079_2015-05-14_final
2015-05-14 10:38:28	ga_ls7e_ard_3-0-0_103080_2015-05-14_final
2015-05-14 10:38:52	ga_ls7e_ard_3-0-0_103081_2015-05-14_final
2015-05-14 10:39:16	ga_ls7e_ard_3-0-0_103082_2015-05-14_final
2015-05-15 09:37:40	ga_ls7e_ard_3-1-0_094067_2015-05-15_final
2015-05-26 09:22:44	ga_ls7e_ard_3-0-0_091076_2015-05-25_final
2015-05-26 09:23:08	ga_ls7e_ard_3-0-0_091077_2015-05-25_final
2015-05-26 09:23:32	ga_ls7e_ard_3-0-0_091078_2015-05-25_final

Return to ga_ls7e_ard_3 across May 2015 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

2015

May

All days