Search ga_ls7e_ard_3 across February 2013

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
2013-02-14 09:59:09	ga_ls7e_ard_3-0-0_098067_2013-02-14_final
2013-02-14 09:59:33	ga_ls7e_ard_3-0-0_098068_2013-02-14_final
2013-02-14 09:59:57	ga_ls7e_ard_3-0-0_098069_2013-02-14_final
2013-02-14 10:00:21	ga_ls7e_ard_3-0-0_098070_2013-02-14_final
2013-02-14 10:00:45	ga_ls7e_ard_3-0-0_098071_2013-02-14_final
2013-02-14 10:01:09	ga_ls7e_ard_3-0-0_098072_2013-02-14_final
2013-02-14 10:01:33	ga_ls7e_ard_3-0-0_098073_2013-02-14_final
2013-02-14 10:01:57	ga_ls7e_ard_3-0-0_098074_2013-02-14_final
2013-02-14 10:02:21	ga_ls7e_ard_3-0-0_098075_2013-02-14_final
2013-02-14 10:02:44	ga_ls7e_ard_3-0-0_098076_2013-02-14_final
2013-02-14 10:03:08	ga_ls7e_ard_3-0-0_098077_2013-02-14_final
2013-02-14 10:03:32	ga_ls7e_ard_3-0-0_098078_2013-02-14_final
2013-02-14 10:03:56	ga_ls7e_ard_3-0-0_098079_2013-02-14_final
2013-02-14 10:04:20	ga_ls7e_ard_3-0-0_098080_2013-02-14_final
2013-02-14 10:04:44	ga_ls7e_ard_3-0-0_098081_2013-02-14_final
2013-02-14 10:05:08	ga_ls7e_ard_3-0-0_098082_2013-02-14_final
2013-02-14 10:05:32	ga_ls7e_ard_3-0-0_098083_2013-02-14_final
2013-02-14 10:05:56	ga_ls7e_ard_3-0-0_098084_2013-02-14_final
2013-02-14 10:06:20	ga_ls7e_ard_3-0-0_098085_2013-02-14_final
2013-02-14 11:38:02	ga_ls7e_ard_3-0-0_114067_2013-02-14_final
2013-02-14 11:40:50	ga_ls7e_ard_3-0-0_114074_2013-02-14_final
2013-02-14 11:41:14	ga_ls7e_ard_3-0-0_114075_2013-02-14_final
2013-02-14 11:41:38	ga_ls7e_ard_3-0-0_114076_2013-02-14_final
2013-02-14 11:42:01	ga_ls7e_ard_3-0-0_114077_2013-02-14_final
2013-02-14 11:42:25	ga_ls7e_ard_3-0-0_114078_2013-02-14_final
2013-02-14 11:42:49	ga_ls7e_ard_3-0-0_114079_2013-02-14_final
2013-02-14 11:43:13	ga_ls7e_ard_3-0-0_114080_2013-02-14_final
2013-02-14 11:43:37	ga_ls7e_ard_3-0-0_114081_2013-02-14_final
2013-02-15 09:08:43	ga_ls7e_ard_3-0-0_089080_2013-02-14_final
2013-02-15 09:09:07	ga_ls7e_ard_3-1-0_089081_2013-02-14_final
2013-02-15 09:09:31	ga_ls7e_ard_3-0-0_089082_2013-02-14_final
2013-02-15 09:10:43	ga_ls7e_ard_3-0-0_089085_2013-02-14_final
2013-02-15 09:12:18	ga_ls7e_ard_3-0-0_089089_2013-02-14_final
2013-02-15 09:12:42	ga_ls7e_ard_3-0-0_089090_2013-02-14_final
2013-02-15 10:42:48	ga_ls7e_ard_3-0-0_105068_2013-02-15_final
2013-02-15 10:43:12	ga_ls7e_ard_3-0-0_105069_2013-02-15_final
2013-02-15 10:43:36	ga_ls7e_ard_3-0-0_105070_2013-02-15_final
2013-02-15 10:44:00	ga_ls7e_ard_3-0-0_105071_2013-02-15_final
2013-02-15 10:44:24	ga_ls7e_ard_3-0-0_105072_2013-02-15_final
2013-02-15 10:45:36	ga_ls7e_ard_3-0-0_105075_2013-02-15_final
2013-02-15 10:46:00	ga_ls7e_ard_3-0-0_105076_2013-02-15_final
2013-02-15 10:46:24	ga_ls7e_ard_3-0-0_105077_2013-02-15_final
2013-02-15 10:46:48	ga_ls7e_ard_3-0-0_105078_2013-02-15_final
2013-02-15 10:47:12	ga_ls7e_ard_3-0-0_105079_2013-02-15_final
2013-02-15 10:47:36	ga_ls7e_ard_3-1-0_105080_2013-02-15_final
2013-02-15 10:48:00	ga_ls7e_ard_3-0-0_105081_2013-02-15_final
2013-02-15 10:48:24	ga_ls7e_ard_3-0-0_105082_2013-02-15_final
2013-02-15 10:48:48	ga_ls7e_ard_3-1-0_105083_2013-02-15_final
2013-02-16 09:47:59	ga_ls7e_ard_3-0-0_096070_2013-02-16_final
2013-02-16 09:48:23	ga_ls7e_ard_3-0-0_096071_2013-02-16_final
2013-02-16 09:48:47	ga_ls7e_ard_3-0-0_096072_2013-02-16_final
2013-02-16 09:49:11	ga_ls7e_ard_3-0-0_096073_2013-02-16_final
2013-02-16 09:49:35	ga_ls7e_ard_3-0-0_096074_2013-02-16_final
2013-02-16 09:49:58	ga_ls7e_ard_3-0-0_096075_2013-02-16_final
2013-02-16 09:50:22	ga_ls7e_ard_3-0-0_096076_2013-02-16_final
2013-02-16 09:50:46	ga_ls7e_ard_3-0-0_096077_2013-02-16_final
2013-02-16 09:51:10	ga_ls7e_ard_3-0-0_096078_2013-02-16_final
2013-02-16 09:51:34	ga_ls7e_ard_3-0-0_096079_2013-02-16_final
2013-02-16 09:51:58	ga_ls7e_ard_3-0-0_096080_2013-02-16_final
2013-02-16 09:52:22	ga_ls7e_ard_3-0-0_096081_2013-02-16_final
2013-02-16 09:52:46	ga_ls7e_ard_3-0-0_096082_2013-02-16_final
2013-02-16 09:53:10	ga_ls7e_ard_3-0-0_096083_2013-02-16_final
2013-02-16 09:53:34	ga_ls7e_ard_3-0-0_096084_2013-02-16_final
2013-02-16 09:53:58	ga_ls7e_ard_3-0-0_096085_2013-02-16_final
2013-02-16 09:54:22	ga_ls7e_ard_3-1-0_096086_2013-02-16_final
2013-02-16 11:28:28	ga_ls7e_ard_3-0-0_112074_2013-02-16_final
2013-02-16 11:28:52	ga_ls7e_ard_3-0-0_112075_2013-02-16_final
2013-02-16 11:29:15	ga_ls7e_ard_3-0-0_112076_2013-02-16_final
2013-02-16 11:29:39	ga_ls7e_ard_3-0-0_112077_2013-02-16_final
2013-02-16 11:30:03	ga_ls7e_ard_3-0-0_112078_2013-02-16_final
2013-02-16 11:30:27	ga_ls7e_ard_3-0-0_112079_2013-02-16_final
2013-02-16 11:30:51	ga_ls7e_ard_3-0-0_112080_2013-02-16_final
2013-02-16 11:31:15	ga_ls7e_ard_3-0-0_112081_2013-02-16_final
2013-02-16 11:31:39	ga_ls7e_ard_3-0-0_112082_2013-02-16_final
2013-02-16 11:32:03	ga_ls7e_ard_3-0-0_112083_2013-02-16_final
2013-02-16 11:32:27	ga_ls7e_ard_3-0-0_112084_2013-02-16_final
2013-02-17 10:30:26	ga_ls7e_ard_3-0-0_103068_2013-02-17_final
2013-02-17 10:30:50	ga_ls7e_ard_3-0-0_103069_2013-02-17_final
2013-02-26 10:29:48	ga_ls7e_ard_3-0-0_102082_2013-02-26_final
2013-02-27 09:28:11	ga_ls7e_ard_3-0-0_093067_2013-02-26_final
2013-02-27 09:32:34	ga_ls7e_ard_3-0-0_093078_2013-02-27_final
2013-02-27 09:32:58	ga_ls7e_ard_3-0-0_093079_2013-02-27_final
2013-02-27 09:33:22	ga_ls7e_ard_3-0-0_093080_2013-02-27_final
2013-02-27 09:36:34	ga_ls7e_ard_3-0-0_093088_2013-02-27_final
2013-02-27 11:08:16	ga_ls7e_ard_3-0-0_109070_2013-02-27_final
2013-02-27 11:08:40	ga_ls7e_ard_3-0-0_109071_2013-02-27_final
2013-02-27 11:09:04	ga_ls7e_ard_3-0-0_109072_2013-02-27_final
2013-02-27 11:11:51	ga_ls7e_ard_3-0-0_109079_2013-02-27_final
2013-02-27 11:12:15	ga_ls7e_ard_3-0-0_109080_2013-02-27_final
2013-02-27 11:12:39	ga_ls7e_ard_3-1-0_109081_2013-02-27_final
2013-02-27 11:13:03	ga_ls7e_ard_3-0-0_109082_2013-02-27_final
2013-02-27 11:13:27	ga_ls7e_ard_3-0-0_109083_2013-02-27_final
2013-02-28 10:13:26	ga_ls7e_ard_3-0-0_100072_2013-02-28_final
2013-02-28 10:13:50	ga_ls7e_ard_3-0-0_100073_2013-02-28_final
2013-02-28 10:14:14	ga_ls7e_ard_3-0-0_100074_2013-02-28_final
2013-02-28 10:14:38	ga_ls7e_ard_3-0-0_100075_2013-02-28_final
2013-02-28 10:15:02	ga_ls7e_ard_3-0-0_100076_2013-02-28_final
2013-02-28 10:16:38	ga_ls7e_ard_3-0-0_100080_2013-02-28_final
2013-02-28 10:17:02	ga_ls7e_ard_3-1-0_100081_2013-02-28_final
2013-02-28 10:17:26	ga_ls7e_ard_3-0-0_100082_2013-02-28_final

Return to ga_ls7e_ard_3 across February 2013 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

2013

February

All days