Search ga_ls5t_ard_3 across November 2008

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
2008-11-11 09:23:47	ga_ls5t_ard_3-0-0_094073_2008-11-10_final
2008-11-11 09:24:11	ga_ls5t_ard_3-0-0_094074_2008-11-10_final
2008-11-11 09:24:35	ga_ls5t_ard_3-0-0_094075_2008-11-10_final
2008-11-11 09:24:59	ga_ls5t_ard_3-0-0_094076_2008-11-10_final
2008-11-11 09:25:23	ga_ls5t_ard_3-0-0_094077_2008-11-10_final
2008-11-11 09:25:47	ga_ls5t_ard_3-0-0_094078_2008-11-10_final
2008-11-11 09:26:11	ga_ls5t_ard_3-0-0_094079_2008-11-10_final
2008-11-11 09:26:35	ga_ls5t_ard_3-0-0_094080_2008-11-10_final
2008-11-11 09:26:58	ga_ls5t_ard_3-0-0_094081_2008-11-10_final
2008-11-11 09:27:23	ga_ls5t_ard_3-0-0_094082_2008-11-10_final
2008-11-11 09:27:47	ga_ls5t_ard_3-0-0_094083_2008-11-10_final
2008-11-11 09:28:10	ga_ls5t_ard_3-0-0_094084_2008-11-10_final
2008-11-11 09:28:35	ga_ls5t_ard_3-0-0_094085_2008-11-10_final
2008-11-11 09:28:59	ga_ls5t_ard_3-0-0_094086_2008-11-10_final
2008-11-11 09:29:22	ga_ls5t_ard_3-0-0_094087_2008-11-10_final
2008-11-11 11:00:16	ga_ls5t_ard_3-0-0_110067_2008-11-11_final
2008-11-11 11:01:28	ga_ls5t_ard_3-0-0_110070_2008-11-11_final
2008-11-11 11:01:52	ga_ls5t_ard_3-0-0_110071_2008-11-11_final
2008-11-11 11:02:16	ga_ls5t_ard_3-0-0_110072_2008-11-11_final
2008-11-11 11:02:40	ga_ls5t_ard_3-0-0_110073_2008-11-11_final
2008-11-11 11:03:04	ga_ls5t_ard_3-1-0_110074_2008-11-11_final
2008-11-11 11:03:28	ga_ls5t_ard_3-0-0_110075_2008-11-11_final
2008-11-11 11:03:52	ga_ls5t_ard_3-0-0_110076_2008-11-11_final
2008-11-11 11:04:16	ga_ls5t_ard_3-0-0_110077_2008-11-11_final
2008-11-11 11:04:40	ga_ls5t_ard_3-0-0_110078_2008-11-11_final
2008-11-11 11:05:04	ga_ls5t_ard_3-0-0_110079_2008-11-11_final
2008-11-11 11:05:28	ga_ls5t_ard_3-0-0_110080_2008-11-11_final
2008-11-11 11:05:52	ga_ls5t_ard_3-0-0_110081_2008-11-11_final
2008-11-11 11:06:16	ga_ls5t_ard_3-0-0_110082_2008-11-11_final
2008-11-12 10:06:16	ga_ls5t_ard_3-0-0_101071_2008-11-12_final
2008-11-12 10:06:40	ga_ls5t_ard_3-0-0_101072_2008-11-12_final
2008-11-12 10:07:04	ga_ls5t_ard_3-0-0_101073_2008-11-12_final
2008-11-12 10:07:28	ga_ls5t_ard_3-0-0_101074_2008-11-12_final
2008-11-12 10:07:52	ga_ls5t_ard_3-0-0_101075_2008-11-12_final
2008-11-12 10:08:16	ga_ls5t_ard_3-0-0_101076_2008-11-12_final
2008-11-12 10:08:40	ga_ls5t_ard_3-0-0_101077_2008-11-12_final
2008-11-12 10:09:04	ga_ls5t_ard_3-0-0_101078_2008-11-12_final
2008-11-12 10:09:28	ga_ls5t_ard_3-0-0_101079_2008-11-12_final
2008-11-12 10:09:52	ga_ls5t_ard_3-0-0_101080_2008-11-12_final
2008-11-12 10:10:16	ga_ls5t_ard_3-0-0_101081_2008-11-12_final
2008-11-12 10:10:40	ga_ls5t_ard_3-0-0_101082_2008-11-12_final
2008-11-12 10:11:04	ga_ls5t_ard_3-0-0_101083_2008-11-12_final
2008-11-13 09:12:16	ga_ls5t_ard_3-0-0_092075_2008-11-12_final
2008-11-13 09:12:40	ga_ls5t_ard_3-0-0_092076_2008-11-12_final
2008-11-13 09:13:04	ga_ls5t_ard_3-0-0_092077_2008-11-12_final
2008-11-13 09:13:28	ga_ls5t_ard_3-0-0_092078_2008-11-12_final
2008-11-13 09:13:52	ga_ls5t_ard_3-0-0_092079_2008-11-12_final
2008-11-13 09:14:16	ga_ls5t_ard_3-0-0_092080_2008-11-12_final
2008-11-13 09:14:40	ga_ls5t_ard_3-0-0_092081_2008-11-12_final
2008-11-13 09:15:04	ga_ls5t_ard_3-0-0_092082_2008-11-12_final
2008-11-13 09:15:28	ga_ls5t_ard_3-0-0_092083_2008-11-12_final
2008-11-13 09:15:52	ga_ls5t_ard_3-0-0_092084_2008-11-12_final
2008-11-13 09:16:16	ga_ls5t_ard_3-0-0_092085_2008-11-12_final
2008-11-13 09:16:40	ga_ls5t_ard_3-0-0_092086_2008-11-12_final
2008-11-13 09:17:04	ga_ls5t_ard_3-0-0_092087_2008-11-12_final
2008-11-13 10:49:09	ga_ls5t_ard_3-0-0_108070_2008-11-13_final
2008-11-13 10:49:34	ga_ls5t_ard_3-0-0_108071_2008-11-13_final
2008-11-13 10:49:57	ga_ls5t_ard_3-0-0_108072_2008-11-13_final
2008-11-13 10:50:21	ga_ls5t_ard_3-0-0_108073_2008-11-13_final
2008-11-13 10:50:45	ga_ls5t_ard_3-0-0_108074_2008-11-13_final
2008-11-13 10:51:09	ga_ls5t_ard_3-0-0_108075_2008-11-13_final
2008-11-13 10:51:33	ga_ls5t_ard_3-0-0_108076_2008-11-13_final
2008-11-13 10:51:57	ga_ls5t_ard_3-0-0_108077_2008-11-13_final
2008-11-13 10:52:21	ga_ls5t_ard_3-0-0_108078_2008-11-13_final
2008-11-13 10:52:45	ga_ls5t_ard_3-0-0_108079_2008-11-13_final
2008-11-13 10:53:09	ga_ls5t_ard_3-0-0_108080_2008-11-13_final
2008-11-13 10:53:33	ga_ls5t_ard_3-0-0_108081_2008-11-13_final
2008-11-13 10:54:21	ga_ls5t_ard_3-0-0_108083_2008-11-13_final
2008-11-13 10:54:45	ga_ls5t_ard_3-0-0_108084_2008-11-13_final
2008-11-14 09:52:22	ga_ls5t_ard_3-0-0_099067_2008-11-14_final
2008-11-14 09:52:46	ga_ls5t_ard_3-0-0_099068_2008-11-14_final
2008-11-14 09:53:10	ga_ls5t_ard_3-0-0_099069_2008-11-14_final
2008-11-14 09:53:34	ga_ls5t_ard_3-0-0_099070_2008-11-14_final
2008-11-14 09:53:58	ga_ls5t_ard_3-0-0_099071_2008-11-14_final
2008-11-14 09:54:21	ga_ls5t_ard_3-0-0_099072_2008-11-14_final
2008-11-14 09:54:45	ga_ls5t_ard_3-0-0_099073_2008-11-14_final
2008-11-14 09:55:09	ga_ls5t_ard_3-1-0_099074_2008-11-14_final
2008-11-14 09:55:33	ga_ls5t_ard_3-0-0_099075_2008-11-14_final
2008-11-14 09:55:57	ga_ls5t_ard_3-0-0_099076_2008-11-14_final
2008-11-14 09:56:21	ga_ls5t_ard_3-0-0_099077_2008-11-14_final
2008-11-14 09:56:45	ga_ls5t_ard_3-0-0_099078_2008-11-14_final
2008-11-14 09:57:09	ga_ls5t_ard_3-0-0_099079_2008-11-14_final
2008-11-30 09:52:53	ga_ls5t_ard_3-0-0_099067_2008-11-30_final
2008-11-30 09:53:17	ga_ls5t_ard_3-0-0_099068_2008-11-30_final
2008-11-30 09:53:41	ga_ls5t_ard_3-0-0_099069_2008-11-30_final
2008-11-30 09:54:05	ga_ls5t_ard_3-0-0_099070_2008-11-30_final
2008-11-30 09:54:53	ga_ls5t_ard_3-0-0_099072_2008-11-30_final
2008-11-30 09:55:17	ga_ls5t_ard_3-0-0_099073_2008-11-30_final
2008-11-30 09:55:41	ga_ls5t_ard_3-1-0_099074_2008-11-30_final
2008-11-30 09:56:05	ga_ls5t_ard_3-0-0_099075_2008-11-30_final
2008-11-30 09:56:29	ga_ls5t_ard_3-0-0_099076_2008-11-30_final
2008-11-30 09:56:53	ga_ls5t_ard_3-0-0_099077_2008-11-30_final
2008-11-30 09:57:17	ga_ls5t_ard_3-0-0_099078_2008-11-30_final
2008-11-30 09:57:41	ga_ls5t_ard_3-0-0_099079_2008-11-30_final
2008-11-30 09:58:05	ga_ls5t_ard_3-0-0_099080_2008-11-30_final
2008-11-30 09:58:29	ga_ls5t_ard_3-0-0_099081_2008-11-30_final
2008-11-30 09:58:53	ga_ls5t_ard_3-0-0_099082_2008-11-30_final
2008-11-30 09:59:17	ga_ls5t_ard_3-0-0_099083_2008-11-30_final
2008-11-30 09:59:41	ga_ls5t_ard_3-0-0_099084_2008-11-30_final
2008-11-30 11:34:34	ga_ls5t_ard_3-0-0_115074_2008-11-30_final

Return to ga_ls5t_ard_3 across November 2008 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

2008

November

All days