Search ga_ls5t_ard_3 across November 2011

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
2011-11-04 09:28:23	ga_ls5t_ard_3-0-0_094073_2011-11-03_final
2011-11-04 09:28:47	ga_ls5t_ard_3-0-0_094074_2011-11-03_final
2011-11-04 09:29:11	ga_ls5t_ard_3-0-0_094075_2011-11-03_final
2011-11-04 09:29:35	ga_ls5t_ard_3-0-0_094076_2011-11-03_final
2011-11-04 09:29:59	ga_ls5t_ard_3-1-0_094077_2011-11-03_final
2011-11-04 09:30:23	ga_ls5t_ard_3-0-0_094078_2011-11-04_final
2011-11-04 09:30:47	ga_ls5t_ard_3-0-0_094079_2011-11-04_final
2011-11-04 09:31:11	ga_ls5t_ard_3-0-0_094080_2011-11-04_final
2011-11-04 09:31:34	ga_ls5t_ard_3-0-0_094081_2011-11-04_final
2011-11-04 09:31:59	ga_ls5t_ard_3-0-0_094082_2011-11-04_final
2011-11-04 09:32:23	ga_ls5t_ard_3-0-0_094083_2011-11-04_final
2011-11-06 09:13:59	ga_ls5t_ard_3-0-0_092068_2011-11-05_final
2011-11-06 09:16:47	ga_ls5t_ard_3-0-0_092075_2011-11-05_final
2011-11-06 09:19:58	ga_ls5t_ard_3-0-0_092083_2011-11-05_final
2011-11-06 09:20:22	ga_ls5t_ard_3-0-0_092084_2011-11-05_final
2011-11-06 09:20:46	ga_ls5t_ard_3-0-0_092085_2011-11-05_final
2011-11-06 09:21:10	ga_ls5t_ard_3-0-0_092086_2011-11-05_final
2011-11-06 09:21:34	ga_ls5t_ard_3-0-0_092087_2011-11-05_final
2011-11-06 09:21:58	ga_ls5t_ard_3-0-0_092088_2011-11-05_final
2011-11-06 09:22:22	ga_ls5t_ard_3-0-0_092089_2011-11-05_final
2011-11-07 09:56:49	ga_ls5t_ard_3-0-0_099067_2011-11-07_final
2011-11-07 09:57:13	ga_ls5t_ard_3-0-0_099068_2011-11-07_final
2011-11-07 09:57:37	ga_ls5t_ard_3-0-0_099069_2011-11-07_final
2011-11-07 09:58:01	ga_ls5t_ard_3-0-0_099070_2011-11-07_final
2011-11-07 09:58:25	ga_ls5t_ard_3-0-0_099071_2011-11-07_final
2011-11-07 09:58:49	ga_ls5t_ard_3-0-0_099072_2011-11-07_final
2011-11-07 09:59:13	ga_ls5t_ard_3-0-0_099073_2011-11-07_final
2011-11-07 09:59:37	ga_ls5t_ard_3-0-0_099074_2011-11-07_final
2011-11-08 09:05:10	ga_ls5t_ard_3-0-0_090077_2011-11-07_final
2011-11-08 09:05:34	ga_ls5t_ard_3-0-0_090078_2011-11-07_final
2011-11-08 09:05:58	ga_ls5t_ard_3-0-0_090079_2011-11-07_final
2011-11-08 09:06:22	ga_ls5t_ard_3-0-0_090080_2011-11-07_final
2011-11-08 09:06:46	ga_ls5t_ard_3-0-0_090081_2011-11-07_final
2011-11-08 09:07:10	ga_ls5t_ard_3-0-0_090082_2011-11-07_final
2011-11-08 09:07:34	ga_ls5t_ard_3-0-0_090083_2011-11-07_final
2011-11-08 09:07:58	ga_ls5t_ard_3-0-0_090084_2011-11-07_final
2011-11-08 09:08:22	ga_ls5t_ard_3-0-0_090085_2011-11-07_final
2011-11-08 09:08:45	ga_ls5t_ard_3-0-0_090086_2011-11-07_final
2011-11-09 09:45:36	ga_ls5t_ard_3-0-0_097070_2011-11-09_final
2011-11-09 09:46:00	ga_ls5t_ard_3-0-0_097071_2011-11-09_final
2011-11-09 09:46:24	ga_ls5t_ard_3-0-0_097072_2011-11-09_final
2011-11-09 09:46:48	ga_ls5t_ard_3-0-0_097073_2011-11-09_final
2011-11-09 09:47:12	ga_ls5t_ard_3-0-0_097074_2011-11-09_final
2011-11-09 09:47:36	ga_ls5t_ard_3-0-0_097075_2011-11-09_final
2011-11-09 09:48:00	ga_ls5t_ard_3-0-0_097076_2011-11-09_final
2011-11-09 09:48:24	ga_ls5t_ard_3-0-0_097077_2011-11-09_final
2011-11-09 09:49:36	ga_ls5t_ard_3-0-0_097080_2011-11-09_final
2011-11-09 09:50:00	ga_ls5t_ard_3-0-0_097081_2011-11-09_final
2011-11-09 09:50:24	ga_ls5t_ard_3-0-0_097082_2011-11-09_final
2011-11-09 09:50:48	ga_ls5t_ard_3-0-0_097083_2011-11-09_final
2011-11-09 09:51:12	ga_ls5t_ard_3-0-0_097084_2011-11-09_final
2011-11-09 09:51:36	ga_ls5t_ard_3-0-0_097085_2011-11-09_final
2011-11-09 11:23:18	ga_ls5t_ard_3-0-0_113067_2011-11-09_final
2011-11-10 10:28:03	ga_ls5t_ard_3-0-0_104068_2011-11-10_final
2011-11-10 10:28:27	ga_ls5t_ard_3-0-0_104069_2011-11-10_final
2011-11-10 10:28:50	ga_ls5t_ard_3-0-0_104070_2011-11-10_final
2011-11-10 10:30:26	ga_ls5t_ard_3-0-0_104074_2011-11-10_final
2011-11-10 10:30:50	ga_ls5t_ard_3-0-0_104075_2011-11-10_final
2011-11-10 10:31:14	ga_ls5t_ard_3-0-0_104076_2011-11-10_final
2011-11-10 10:31:38	ga_ls5t_ard_3-0-0_104077_2011-11-10_final
2011-11-10 10:32:02	ga_ls5t_ard_3-1-0_104078_2011-11-10_final
2011-11-11 09:33:59	ga_ls5t_ard_3-0-0_095072_2011-11-11_final
2011-11-11 09:34:23	ga_ls5t_ard_3-0-0_095073_2011-11-11_final
2011-11-11 09:34:47	ga_ls5t_ard_3-0-0_095074_2011-11-11_final
2011-11-11 09:35:11	ga_ls5t_ard_3-0-0_095075_2011-11-11_final
2011-11-11 09:35:35	ga_ls5t_ard_3-0-0_095076_2011-11-11_final
2011-11-11 09:35:59	ga_ls5t_ard_3-0-0_095077_2011-11-11_final
2011-11-11 09:36:23	ga_ls5t_ard_3-0-0_095078_2011-11-11_final
2011-11-11 09:36:47	ga_ls5t_ard_3-0-0_095079_2011-11-11_final
2011-11-11 09:37:11	ga_ls5t_ard_3-0-0_095080_2011-11-11_final
2011-11-11 09:37:35	ga_ls5t_ard_3-0-0_095081_2011-11-11_final
2011-11-11 09:37:59	ga_ls5t_ard_3-0-0_095082_2011-11-11_final
2011-11-11 09:38:23	ga_ls5t_ard_3-0-0_095083_2011-11-11_final
2011-11-11 09:38:47	ga_ls5t_ard_3-0-0_095084_2011-11-11_final
2011-11-11 09:39:11	ga_ls5t_ard_3-0-0_095085_2011-11-11_final
2011-11-11 09:39:35	ga_ls5t_ard_3-0-0_095086_2011-11-11_final
2011-11-11 09:39:58	ga_ls5t_ard_3-1-0_095087_2011-11-11_final
2011-11-11 11:10:53	ga_ls5t_ard_3-0-0_111067_2011-11-11_final
2011-11-11 11:11:17	ga_ls5t_ard_3-0-0_111068_2011-11-11_final
2011-11-11 11:12:28	ga_ls5t_ard_3-1-0_111071_2011-11-11_final
2011-11-11 11:12:52	ga_ls5t_ard_3-0-0_111072_2011-11-11_final
2011-11-11 11:13:16	ga_ls5t_ard_3-0-0_111073_2011-11-11_final
2011-11-11 11:13:40	ga_ls5t_ard_3-0-0_111074_2011-11-11_final
2011-11-11 11:14:04	ga_ls5t_ard_3-0-0_111075_2011-11-11_final
2011-11-11 11:14:28	ga_ls5t_ard_3-0-0_111076_2011-11-11_final
2011-11-11 11:14:52	ga_ls5t_ard_3-0-0_111077_2011-11-11_final
2011-11-11 11:15:16	ga_ls5t_ard_3-0-0_111078_2011-11-11_final
2011-11-11 11:15:40	ga_ls5t_ard_3-0-0_111079_2011-11-11_final
2011-11-11 11:16:04	ga_ls5t_ard_3-0-0_111080_2011-11-11_final
2011-11-11 11:16:28	ga_ls5t_ard_3-0-0_111081_2011-11-11_final
2011-11-12 10:15:37	ga_ls5t_ard_3-0-0_102068_2011-11-12_final
2011-11-12 10:16:02	ga_ls5t_ard_3-0-0_102069_2011-11-12_final
2011-11-12 10:16:25	ga_ls5t_ard_3-0-0_102070_2011-11-12_final
2011-11-12 10:16:49	ga_ls5t_ard_3-0-0_102071_2011-11-12_final
2011-11-12 10:17:13	ga_ls5t_ard_3-0-0_102072_2011-11-12_final
2011-11-12 10:17:37	ga_ls5t_ard_3-0-0_102073_2011-11-12_final
2011-11-12 10:18:25	ga_ls5t_ard_3-0-0_102075_2011-11-12_final
2011-11-12 10:18:49	ga_ls5t_ard_3-0-0_102076_2011-11-12_final
2011-11-12 10:19:13	ga_ls5t_ard_3-0-0_102077_2011-11-12_final
2011-11-12 10:19:37	ga_ls5t_ard_3-0-0_102078_2011-11-12_final

Return to ga_ls5t_ard_3 across November 2011 overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2011

November

All days