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
2011-11-02 11:20:04	ga_ls5t_ard_3-0-0_112074_2011-11-02_final
2011-11-02 11:20:28	ga_ls5t_ard_3-0-0_112075_2011-11-02_final
2011-11-02 11:20:52	ga_ls5t_ard_3-0-0_112076_2011-11-02_final
2011-11-02 11:21:16	ga_ls5t_ard_3-0-0_112077_2011-11-02_final
2011-11-02 11:21:40	ga_ls5t_ard_3-0-0_112078_2011-11-02_final
2011-11-02 11:22:04	ga_ls5t_ard_3-0-0_112079_2011-11-02_final
2011-11-02 11:22:28	ga_ls5t_ard_3-0-0_112080_2011-11-02_final
2011-11-02 11:22:52	ga_ls5t_ard_3-0-0_112081_2011-11-02_final
2011-11-02 11:23:16	ga_ls5t_ard_3-0-0_112082_2011-11-02_final
2011-11-02 11:23:40	ga_ls5t_ard_3-0-0_112083_2011-11-02_final
2011-11-02 11:24:04	ga_ls5t_ard_3-0-0_112084_2011-11-02_final
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
2011-11-04 09:32:47	ga_ls5t_ard_3-0-0_094084_2011-11-04_final
2011-11-04 09:33:11	ga_ls5t_ard_3-0-0_094085_2011-11-04_final
2011-11-04 09:33:35	ga_ls5t_ard_3-0-0_094086_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
2011-11-12 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
2011-11-12 10:20:01	ga_ls5t_ard_3-0-0_102079_2011-11-12_final
2011-11-13 09:22:22	ga_ls5t_ard_3-0-0_093074_2011-11-12_final
2011-11-13 09:22:46	ga_ls5t_ard_3-0-0_093075_2011-11-12_final
2011-11-13 09:23:10	ga_ls5t_ard_3-0-0_093076_2011-11-12_final
2011-11-13 09:23:34	ga_ls5t_ard_3-0-0_093077_2011-11-12_final
2011-11-13 09:23:58	ga_ls5t_ard_3-0-0_093078_2011-11-12_final
2011-11-13 09:24:22	ga_ls5t_ard_3-0-0_093079_2011-11-12_final
2011-11-13 09:24:46	ga_ls5t_ard_3-0-0_093080_2011-11-12_final
2011-11-13 09:25:09	ga_ls5t_ard_3-0-0_093081_2011-11-12_final
2011-11-13 09:25:34	ga_ls5t_ard_3-0-0_093082_2011-11-12_final
2011-11-13 09:25:57	ga_ls5t_ard_3-0-0_093083_2011-11-12_final
2011-11-13 09:26:21	ga_ls5t_ard_3-0-0_093084_2011-11-12_final
2011-11-13 09:26:45	ga_ls5t_ard_3-0-0_093085_2011-11-12_final
2011-11-13 10:59:39	ga_ls5t_ard_3-0-0_109070_2011-11-13_final
2011-11-13 11:00:03	ga_ls5t_ard_3-0-0_109071_2011-11-13_final
2011-11-13 11:00:27	ga_ls5t_ard_3-0-0_109072_2011-11-13_final
2011-11-13 11:00:51	ga_ls5t_ard_3-0-0_109073_2011-11-13_final
2011-11-13 11:01:15	ga_ls5t_ard_3-0-0_109074_2011-11-13_final
2011-11-13 11:01:39	ga_ls5t_ard_3-0-0_109075_2011-11-13_final
2011-11-13 11:02:03	ga_ls5t_ard_3-0-0_109076_2011-11-13_final
2011-11-13 11:02:27	ga_ls5t_ard_3-0-0_109077_2011-11-13_final
2011-11-13 11:02:51	ga_ls5t_ard_3-0-0_109078_2011-11-13_final
2011-11-13 11:03:15	ga_ls5t_ard_3-0-0_109079_2011-11-13_final
2011-11-13 11:03:38	ga_ls5t_ard_3-0-0_109080_2011-11-13_final
2011-11-13 11:04:02	ga_ls5t_ard_3-0-0_109081_2011-11-13_final
2011-11-13 11:04:26	ga_ls5t_ard_3-0-0_109082_2011-11-13_final
2011-11-13 11:04:50	ga_ls5t_ard_3-0-0_109083_2011-11-13_final
2011-11-14 10:04:24	ga_ls5t_ard_3-0-0_100071_2011-11-14_final
2011-11-14 10:04:48	ga_ls5t_ard_3-0-0_100072_2011-11-14_final
2011-11-14 10:05:12	ga_ls5t_ard_3-0-0_100073_2011-11-14_final
2011-11-14 10:05:36	ga_ls5t_ard_3-0-0_100074_2011-11-14_final
2011-11-14 10:05:59	ga_ls5t_ard_3-0-0_100075_2011-11-14_final
2011-11-14 10:06:24	ga_ls5t_ard_3-0-0_100076_2011-11-14_final
2011-11-14 10:06:47	ga_ls5t_ard_3-1-0_100077_2011-11-14_final
2011-11-14 10:07:11	ga_ls5t_ard_3-0-0_100078_2011-11-14_final
2011-11-14 10:07:35	ga_ls5t_ard_3-0-0_100079_2011-11-14_final
2011-11-14 10:07:59	ga_ls5t_ard_3-0-0_100080_2011-11-14_final
2011-11-14 10:08:23	ga_ls5t_ard_3-0-0_100081_2011-11-14_final
2011-11-14 10:08:47	ga_ls5t_ard_3-0-0_100082_2011-11-14_final
2011-11-14 10:09:11	ga_ls5t_ard_3-0-0_100083_2011-11-14_final
2011-11-14 10:09:35	ga_ls5t_ard_3-0-0_100084_2011-11-14_final
2011-11-15 09:12:20	ga_ls5t_ard_3-0-0_091080_2011-11-14_final
2011-11-17 08:59:09	ga_ls5t_ard_3-0-0_089078_2011-11-16_final
2011-11-17 08:59:33	ga_ls5t_ard_3-0-0_089079_2011-11-16_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2011

November

All days