Search ga_ls7e_ard_3 across May 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
2013-05-26 10:18:54	ga_ls7e_ard_3-0-0_101071_2013-05-26_final
2013-05-26 10:19:18	ga_ls7e_ard_3-0-0_101072_2013-05-26_final
2013-05-26 10:19:42	ga_ls7e_ard_3-0-0_101073_2013-05-26_final
2013-05-26 10:20:06	ga_ls7e_ard_3-0-0_101074_2013-05-26_final
2013-05-26 10:20:30	ga_ls7e_ard_3-1-0_101075_2013-05-26_final
2013-05-26 10:20:54	ga_ls7e_ard_3-0-0_101076_2013-05-26_final
2013-05-26 10:21:18	ga_ls7e_ard_3-0-0_101077_2013-05-26_final
2013-05-26 10:21:42	ga_ls7e_ard_3-0-0_101078_2013-05-26_final
2013-05-26 10:22:05	ga_ls7e_ard_3-0-0_101079_2013-05-26_final
2013-05-26 10:22:29	ga_ls7e_ard_3-0-0_101080_2013-05-26_final
2013-05-26 10:22:53	ga_ls7e_ard_3-0-0_101081_2013-05-26_final
2013-05-26 10:23:17	ga_ls7e_ard_3-0-0_101082_2013-05-26_final
2013-05-26 10:23:41	ga_ls7e_ard_3-0-0_101083_2013-05-26_final
2013-05-27 09:24:52	ga_ls7e_ard_3-0-0_092075_2013-05-26_final
2013-05-27 09:25:16	ga_ls7e_ard_3-0-0_092076_2013-05-26_final
2013-05-27 09:25:40	ga_ls7e_ard_3-0-0_092077_2013-05-26_final
2013-05-27 09:26:04	ga_ls7e_ard_3-0-0_092078_2013-05-26_final
2013-05-27 09:26:28	ga_ls7e_ard_3-0-0_092079_2013-05-26_final
2013-05-27 09:26:51	ga_ls7e_ard_3-0-0_092080_2013-05-26_final
2013-05-27 09:27:15	ga_ls7e_ard_3-0-0_092081_2013-05-26_final
2013-05-27 09:27:39	ga_ls7e_ard_3-0-0_092082_2013-05-26_final
2013-05-27 09:28:03	ga_ls7e_ard_3-0-0_092083_2013-05-26_final
2013-05-27 09:28:27	ga_ls7e_ard_3-0-0_092084_2013-05-26_final
2013-05-27 09:28:51	ga_ls7e_ard_3-0-0_092085_2013-05-26_final
2013-05-27 09:29:15	ga_ls7e_ard_3-0-0_092086_2013-05-26_final
2013-05-27 09:30:03	ga_ls7e_ard_3-1-0_092088_2013-05-27_final
2013-05-27 09:30:27	ga_ls7e_ard_3-0-0_092089_2013-05-27_final
2013-05-27 09:30:51	ga_ls7e_ard_3-1-0_092090_2013-05-27_final
2013-05-27 11:01:21	ga_ls7e_ard_3-0-0_108069_2013-05-27_final
2013-05-27 11:01:45	ga_ls7e_ard_3-0-0_108070_2013-05-27_final
2013-05-27 11:02:09	ga_ls7e_ard_3-1-0_108071_2013-05-27_final
2013-05-27 11:02:33	ga_ls7e_ard_3-0-0_108072_2013-05-27_final
2013-05-27 11:02:57	ga_ls7e_ard_3-0-0_108073_2013-05-27_final
2013-05-27 11:03:21	ga_ls7e_ard_3-0-0_108074_2013-05-27_final
2013-05-27 11:03:45	ga_ls7e_ard_3-1-0_108075_2013-05-27_final
2013-05-27 11:04:09	ga_ls7e_ard_3-0-0_108076_2013-05-27_final
2013-05-27 11:04:33	ga_ls7e_ard_3-0-0_108077_2013-05-27_final
2013-05-27 11:04:57	ga_ls7e_ard_3-0-0_108078_2013-05-27_final
2013-05-27 11:05:21	ga_ls7e_ard_3-0-0_108079_2013-05-27_final
2013-05-27 11:05:44	ga_ls7e_ard_3-0-0_108080_2013-05-27_final
2013-05-27 11:06:08	ga_ls7e_ard_3-0-0_108081_2013-05-27_final
2013-05-27 11:06:32	ga_ls7e_ard_3-0-0_108082_2013-05-27_final
2013-05-27 11:06:56	ga_ls7e_ard_3-0-0_108083_2013-05-27_final
2013-05-27 11:07:20	ga_ls7e_ard_3-0-0_108084_2013-05-27_final
2013-05-28 10:04:55	ga_ls7e_ard_3-0-0_099067_2013-05-28_final
2013-05-28 10:05:19	ga_ls7e_ard_3-0-0_099068_2013-05-28_final
2013-05-28 10:05:43	ga_ls7e_ard_3-0-0_099069_2013-05-28_final
2013-05-28 10:06:07	ga_ls7e_ard_3-0-0_099070_2013-05-28_final
2013-05-28 10:06:31	ga_ls7e_ard_3-0-0_099071_2013-05-28_final
2013-05-28 10:06:55	ga_ls7e_ard_3-0-0_099072_2013-05-28_final
2013-05-28 10:07:19	ga_ls7e_ard_3-0-0_099073_2013-05-28_final
2013-05-28 10:07:43	ga_ls7e_ard_3-0-0_099074_2013-05-28_final
2013-05-28 10:08:07	ga_ls7e_ard_3-0-0_099075_2013-05-28_final
2013-05-28 10:08:31	ga_ls7e_ard_3-0-0_099076_2013-05-28_final
2013-05-28 10:08:55	ga_ls7e_ard_3-0-0_099077_2013-05-28_final
2013-05-28 10:09:19	ga_ls7e_ard_3-0-0_099078_2013-05-28_final
2013-05-28 10:09:43	ga_ls7e_ard_3-0-0_099079_2013-05-28_final
2013-05-28 10:10:06	ga_ls7e_ard_3-0-0_099080_2013-05-28_final
2013-05-28 10:10:30	ga_ls7e_ard_3-0-0_099081_2013-05-28_final
2013-05-28 10:10:54	ga_ls7e_ard_3-0-0_099082_2013-05-28_final
2013-05-28 10:11:18	ga_ls7e_ard_3-0-0_099083_2013-05-28_final
2013-05-28 10:11:42	ga_ls7e_ard_3-0-0_099084_2013-05-28_final
2013-05-28 11:47:00	ga_ls7e_ard_3-0-0_115075_2013-05-28_final
2013-05-29 09:18:28	ga_ls7e_ard_3-0-0_090090_2013-05-28_final
2013-05-29 10:48:34	ga_ls7e_ard_3-0-0_106068_2013-05-29_final
2013-05-29 10:48:58	ga_ls7e_ard_3-0-0_106069_2013-05-29_final
2013-05-29 10:49:22	ga_ls7e_ard_3-0-0_106070_2013-05-29_final
2013-05-29 10:49:46	ga_ls7e_ard_3-0-0_106071_2013-05-29_final
2013-05-29 10:50:10	ga_ls7e_ard_3-0-0_106072_2013-05-29_final
2013-05-29 10:50:34	ga_ls7e_ard_3-0-0_106073_2013-05-29_final
2013-05-29 10:50:58	ga_ls7e_ard_3-0-0_106074_2013-05-29_final
2013-05-29 10:51:22	ga_ls7e_ard_3-1-0_106075_2013-05-29_final
2013-05-29 10:51:46	ga_ls7e_ard_3-0-0_106076_2013-05-29_final
2013-05-29 10:52:10	ga_ls7e_ard_3-1-0_106077_2013-05-29_final
2013-05-29 10:52:34	ga_ls7e_ard_3-0-0_106078_2013-05-29_final
2013-05-29 10:52:57	ga_ls7e_ard_3-0-0_106079_2013-05-29_final
2013-05-29 10:53:21	ga_ls7e_ard_3-0-0_106080_2013-05-29_final
2013-05-29 10:53:45	ga_ls7e_ard_3-0-0_106081_2013-05-29_final
2013-05-29 10:54:09	ga_ls7e_ard_3-0-0_106082_2013-05-29_final
2013-05-30 09:53:20	ga_ls7e_ard_3-0-0_097069_2013-05-30_final
2013-05-30 09:53:44	ga_ls7e_ard_3-0-0_097070_2013-05-30_final
2013-05-30 09:54:08	ga_ls7e_ard_3-0-0_097071_2013-05-30_final
2013-05-30 09:54:32	ga_ls7e_ard_3-0-0_097072_2013-05-30_final
2013-05-30 09:54:56	ga_ls7e_ard_3-0-0_097073_2013-05-30_final
2013-05-30 09:55:20	ga_ls7e_ard_3-0-0_097074_2013-05-30_final
2013-05-30 09:55:44	ga_ls7e_ard_3-0-0_097075_2013-05-30_final
2013-05-30 09:56:08	ga_ls7e_ard_3-1-0_097076_2013-05-30_final
2013-05-30 09:56:32	ga_ls7e_ard_3-0-0_097077_2013-05-30_final
2013-05-30 09:56:55	ga_ls7e_ard_3-0-0_097078_2013-05-30_final
2013-05-30 09:57:19	ga_ls7e_ard_3-0-0_097079_2013-05-30_final
2013-05-30 09:57:43	ga_ls7e_ard_3-0-0_097080_2013-05-30_final
2013-05-30 09:58:07	ga_ls7e_ard_3-0-0_097081_2013-05-30_final
2013-05-30 09:58:55	ga_ls7e_ard_3-0-0_097083_2013-05-30_final
2013-05-30 09:59:19	ga_ls7e_ard_3-0-0_097084_2013-05-30_final
2013-05-30 09:59:43	ga_ls7e_ard_3-0-0_097085_2013-05-30_final
2013-05-31 10:36:11	ga_ls7e_ard_3-0-0_104068_2013-05-31_final
2013-05-31 10:36:35	ga_ls7e_ard_3-0-0_104069_2013-05-31_final
2013-05-31 10:36:59	ga_ls7e_ard_3-1-0_104070_2013-05-31_final
2013-05-31 10:37:23	ga_ls7e_ard_3-0-0_104071_2013-05-31_final
2013-05-31 10:37:47	ga_ls7e_ard_3-0-0_104072_2013-05-31_final

Return to ga_ls7e_ard_3 across May 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

May

All days