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
2013-02-04 09:25:16	ga_ls7e_ard_3-0-0_092075_2013-02-03_final
2013-02-04 09:25:40	ga_ls7e_ard_3-0-0_092076_2013-02-03_final
2013-02-04 09:26:04	ga_ls7e_ard_3-0-0_092077_2013-02-03_final
2013-02-04 09:26:28	ga_ls7e_ard_3-0-0_092078_2013-02-03_final
2013-02-04 09:26:52	ga_ls7e_ard_3-0-0_092079_2013-02-03_final
2013-02-04 09:27:16	ga_ls7e_ard_3-0-0_092080_2013-02-03_final
2013-02-04 09:27:40	ga_ls7e_ard_3-0-0_092081_2013-02-03_final
2013-02-04 09:28:04	ga_ls7e_ard_3-0-0_092082_2013-02-03_final
2013-02-04 09:28:28	ga_ls7e_ard_3-1-0_092083_2013-02-03_final
2013-02-04 09:28:52	ga_ls7e_ard_3-0-0_092084_2013-02-03_final
2013-02-04 09:29:16	ga_ls7e_ard_3-0-0_092085_2013-02-03_final
2013-02-04 09:29:40	ga_ls7e_ard_3-0-0_092086_2013-02-03_final
2013-02-04 09:30:04	ga_ls7e_ard_3-1-0_092087_2013-02-04_final
2013-02-04 09:30:28	ga_ls7e_ard_3-1-0_092088_2013-02-04_final
2013-02-04 09:30:52	ga_ls7e_ard_3-0-0_092089_2013-02-04_final
2013-02-05 10:05:21	ga_ls7e_ard_3-0-0_099067_2013-02-05_final
2013-02-05 10:05:45	ga_ls7e_ard_3-0-0_099068_2013-02-05_final
2013-02-05 10:06:09	ga_ls7e_ard_3-0-0_099069_2013-02-05_final
2013-02-05 10:06:32	ga_ls7e_ard_3-0-0_099070_2013-02-05_final
2013-02-05 10:06:56	ga_ls7e_ard_3-0-0_099071_2013-02-05_final
2013-02-06 09:13:43	ga_ls7e_ard_3-0-0_090077_2013-02-05_final
2013-02-06 09:14:07	ga_ls7e_ard_3-0-0_090078_2013-02-05_final
2013-02-06 09:14:31	ga_ls7e_ard_3-0-0_090079_2013-02-05_final
2013-02-06 09:14:55	ga_ls7e_ard_3-0-0_090080_2013-02-05_final
2013-02-06 09:15:18	ga_ls7e_ard_3-0-0_090081_2013-02-05_final
2013-02-06 09:15:42	ga_ls7e_ard_3-0-0_090082_2013-02-05_final
2013-02-06 09:16:06	ga_ls7e_ard_3-0-0_090083_2013-02-05_final
2013-02-06 09:16:30	ga_ls7e_ard_3-0-0_090084_2013-02-05_final
2013-02-06 09:16:54	ga_ls7e_ard_3-1-0_090085_2013-02-05_final
2013-02-06 09:17:18	ga_ls7e_ard_3-0-0_090086_2013-02-05_final
2013-02-06 09:18:06	ga_ls7e_ard_3-0-0_090088_2013-02-05_final
2013-02-06 09:18:30	ga_ls7e_ard_3-0-0_090089_2013-02-05_final
2013-02-06 09:18:54	ga_ls7e_ard_3-0-0_090090_2013-02-05_final
2013-02-06 10:49:00	ga_ls7e_ard_3-0-0_106068_2013-02-06_final
2013-02-06 10:49:24	ga_ls7e_ard_3-0-0_106069_2013-02-06_final
2013-02-06 10:49:48	ga_ls7e_ard_3-0-0_106070_2013-02-06_final
2013-02-06 10:50:12	ga_ls7e_ard_3-0-0_106071_2013-02-06_final
2013-02-06 10:50:36	ga_ls7e_ard_3-0-0_106072_2013-02-06_final
2013-02-06 10:51:00	ga_ls7e_ard_3-0-0_106073_2013-02-06_final
2013-02-06 10:51:24	ga_ls7e_ard_3-0-0_106074_2013-02-06_final
2013-02-06 10:51:48	ga_ls7e_ard_3-1-0_106075_2013-02-06_final
2013-02-06 10:52:12	ga_ls7e_ard_3-0-0_106076_2013-02-06_final
2013-02-06 10:52:36	ga_ls7e_ard_3-0-0_106077_2013-02-06_final
2013-02-06 10:53:00	ga_ls7e_ard_3-0-0_106078_2013-02-06_final
2013-02-06 10:53:24	ga_ls7e_ard_3-0-0_106079_2013-02-06_final
2013-02-06 10:53:48	ga_ls7e_ard_3-0-0_106080_2013-02-06_final
2013-02-06 10:54:11	ga_ls7e_ard_3-0-0_106081_2013-02-06_final
2013-02-06 10:54:35	ga_ls7e_ard_3-0-0_106082_2013-02-06_final
2013-02-06 10:54:59	ga_ls7e_ard_3-0-0_106083_2013-02-06_final
2013-02-07 09:53:47	ga_ls7e_ard_3-0-0_097069_2013-02-07_final
2013-02-07 09:54:11	ga_ls7e_ard_3-0-0_097070_2013-02-07_final
2013-02-07 09:54:35	ga_ls7e_ard_3-0-0_097071_2013-02-07_final
2013-02-07 09:54:59	ga_ls7e_ard_3-0-0_097072_2013-02-07_final
2013-02-07 09:55:23	ga_ls7e_ard_3-0-0_097073_2013-02-07_final
2013-02-07 09:55:47	ga_ls7e_ard_3-0-0_097074_2013-02-07_final
2013-02-07 09:56:10	ga_ls7e_ard_3-0-0_097075_2013-02-07_final
2013-02-07 09:56:34	ga_ls7e_ard_3-1-0_097076_2013-02-07_final
2013-02-07 09:56:58	ga_ls7e_ard_3-0-0_097077_2013-02-07_final
2013-02-07 09:57:22	ga_ls7e_ard_3-0-0_097078_2013-02-07_final
2013-02-07 09:57:46	ga_ls7e_ard_3-0-0_097079_2013-02-07_final
2013-02-07 09:58:10	ga_ls7e_ard_3-0-0_097080_2013-02-07_final
2013-02-07 09:58:34	ga_ls7e_ard_3-0-0_097081_2013-02-07_final
2013-02-07 09:58:58	ga_ls7e_ard_3-0-0_097082_2013-02-07_final
2013-02-07 09:59:22	ga_ls7e_ard_3-0-0_097083_2013-02-07_final
2013-02-07 09:59:46	ga_ls7e_ard_3-0-0_097084_2013-02-07_final
2013-02-07 10:00:10	ga_ls7e_ard_3-0-0_097085_2013-02-07_final
2013-02-07 11:31:52	ga_ls7e_ard_3-0-0_113067_2013-02-07_final
2013-02-07 11:34:40	ga_ls7e_ard_3-0-0_113074_2013-02-07_final
2013-02-07 11:35:04	ga_ls7e_ard_3-0-0_113075_2013-02-07_final
2013-02-07 11:35:27	ga_ls7e_ard_3-0-0_113076_2013-02-07_final
2013-02-07 11:35:51	ga_ls7e_ard_3-0-0_113077_2013-02-07_final
2013-02-07 11:36:15	ga_ls7e_ard_3-0-0_113078_2013-02-07_final
2013-02-07 11:36:39	ga_ls7e_ard_3-0-0_113079_2013-02-07_final
2013-02-07 11:37:03	ga_ls7e_ard_3-0-0_113080_2013-02-07_final
2013-02-07 11:37:27	ga_ls7e_ard_3-0-0_113081_2013-02-07_final
2013-02-07 11:37:51	ga_ls7e_ard_3-0-0_113082_2013-02-07_final
2013-02-07 11:38:15	ga_ls7e_ard_3-0-0_113083_2013-02-07_final
2013-02-07 11:38:39	ga_ls7e_ard_3-0-0_113084_2013-02-07_final
2013-02-08 09:02:57	ga_ls7e_ard_3-0-0_088081_2013-02-07_final
2013-02-08 09:03:21	ga_ls7e_ard_3-0-0_088082_2013-02-07_final
2013-02-08 10:36:39	ga_ls7e_ard_3-0-0_104068_2013-02-08_final
2013-02-08 10:37:03	ga_ls7e_ard_3-0-0_104069_2013-02-08_final
2013-02-08 10:37:26	ga_ls7e_ard_3-1-0_104070_2013-02-08_final
2013-02-08 10:37:50	ga_ls7e_ard_3-0-0_104071_2013-02-08_final
2013-02-08 10:38:14	ga_ls7e_ard_3-0-0_104072_2013-02-08_final
2013-02-08 10:38:38	ga_ls7e_ard_3-0-0_104073_2013-02-08_final
2013-02-08 10:39:02	ga_ls7e_ard_3-0-0_104074_2013-02-08_final
2013-02-08 10:39:26	ga_ls7e_ard_3-0-0_104075_2013-02-08_final
2013-02-08 10:39:50	ga_ls7e_ard_3-0-0_104076_2013-02-08_final
2013-02-08 10:40:14	ga_ls7e_ard_3-0-0_104077_2013-02-08_final
2013-02-08 10:40:38	ga_ls7e_ard_3-0-0_104078_2013-02-08_final
2013-02-08 10:41:02	ga_ls7e_ard_3-0-0_104079_2013-02-08_final
2013-02-08 10:41:26	ga_ls7e_ard_3-0-0_104080_2013-02-08_final
2013-02-08 10:41:50	ga_ls7e_ard_3-0-0_104081_2013-02-08_final
2013-02-08 10:42:14	ga_ls7e_ard_3-0-0_104082_2013-02-08_final
2013-02-09 09:40:37	ga_ls7e_ard_3-0-0_095067_2013-02-09_final
2013-02-09 09:42:37	ga_ls7e_ard_3-0-0_095072_2013-02-09_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2013

February

All days