Search ga_ls5t_ard_3 across August 2009

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
2009-08-15 09:46:53	ga_ls5t_ard_3-0-0_097069_2009-08-15_final
2009-08-15 09:47:16	ga_ls5t_ard_3-0-0_097070_2009-08-15_final
2009-08-15 09:47:40	ga_ls5t_ard_3-0-0_097071_2009-08-15_final
2009-08-15 09:48:04	ga_ls5t_ard_3-0-0_097072_2009-08-15_final
2009-08-15 09:48:28	ga_ls5t_ard_3-0-0_097073_2009-08-15_final
2009-08-15 09:48:52	ga_ls5t_ard_3-0-0_097074_2009-08-15_final
2009-08-15 09:49:16	ga_ls5t_ard_3-0-0_097075_2009-08-15_final
2009-08-15 11:28:33	ga_ls5t_ard_3-0-0_113076_2009-08-15_final
2009-08-15 11:28:57	ga_ls5t_ard_3-1-0_113077_2009-08-15_final
2009-08-15 11:29:21	ga_ls5t_ard_3-0-0_113078_2009-08-15_final
2009-08-15 11:29:45	ga_ls5t_ard_3-0-0_113079_2009-08-15_final
2009-08-15 11:30:09	ga_ls5t_ard_3-0-0_113080_2009-08-15_final
2009-08-15 11:30:33	ga_ls5t_ard_3-1-0_113081_2009-08-15_final
2009-08-15 11:30:57	ga_ls5t_ard_3-0-0_113082_2009-08-15_final
2009-08-15 11:31:21	ga_ls5t_ard_3-0-0_113083_2009-08-15_final
2009-08-16 10:29:45	ga_ls5t_ard_3-0-0_104068_2009-08-16_final
2009-08-16 10:30:09	ga_ls5t_ard_3-0-0_104069_2009-08-16_final
2009-08-16 10:30:33	ga_ls5t_ard_3-0-0_104070_2009-08-16_final
2009-08-16 10:30:57	ga_ls5t_ard_3-0-0_104071_2009-08-16_final
2009-08-16 10:31:21	ga_ls5t_ard_3-0-0_104072_2009-08-16_final
2009-08-16 10:31:45	ga_ls5t_ard_3-0-0_104073_2009-08-16_final
2009-08-16 10:32:09	ga_ls5t_ard_3-0-0_104074_2009-08-16_final
2009-08-16 10:32:33	ga_ls5t_ard_3-0-0_104075_2009-08-16_final
2009-08-16 10:32:57	ga_ls5t_ard_3-0-0_104076_2009-08-16_final
2009-08-16 10:33:21	ga_ls5t_ard_3-0-0_104077_2009-08-16_final
2009-08-16 10:33:45	ga_ls5t_ard_3-0-0_104078_2009-08-16_final
2009-08-16 10:34:09	ga_ls5t_ard_3-0-0_104079_2009-08-16_final
2009-08-16 10:34:32	ga_ls5t_ard_3-0-0_104080_2009-08-16_final
2009-08-16 10:34:56	ga_ls5t_ard_3-0-0_104081_2009-08-16_final
2009-08-16 10:35:20	ga_ls5t_ard_3-0-0_104082_2009-08-16_final
2009-08-17 09:35:45	ga_ls5t_ard_3-0-0_095072_2009-08-17_final
2009-08-17 09:36:08	ga_ls5t_ard_3-0-0_095073_2009-08-17_final
2009-08-17 09:36:32	ga_ls5t_ard_3-0-0_095074_2009-08-17_final
2009-08-17 09:36:56	ga_ls5t_ard_3-0-0_095075_2009-08-17_final
2009-08-17 09:37:20	ga_ls5t_ard_3-0-0_095076_2009-08-17_final
2009-08-17 09:37:44	ga_ls5t_ard_3-0-0_095077_2009-08-17_final
2009-08-17 09:38:08	ga_ls5t_ard_3-0-0_095078_2009-08-17_final
2009-08-17 09:38:32	ga_ls5t_ard_3-0-0_095079_2009-08-17_final
2009-08-17 11:14:38	ga_ls5t_ard_3-0-0_111072_2009-08-17_final
2009-08-17 11:15:02	ga_ls5t_ard_3-0-0_111073_2009-08-17_final
2009-08-17 11:15:26	ga_ls5t_ard_3-0-0_111074_2009-08-17_final
2009-08-17 11:15:49	ga_ls5t_ard_3-0-0_111075_2009-08-17_final
2009-08-17 11:16:13	ga_ls5t_ard_3-0-0_111076_2009-08-17_final
2009-08-17 11:16:37	ga_ls5t_ard_3-0-0_111077_2009-08-17_final
2009-08-17 11:17:01	ga_ls5t_ard_3-0-0_111078_2009-08-17_final
2009-08-17 11:17:25	ga_ls5t_ard_3-0-0_111079_2009-08-17_final
2009-08-17 11:17:49	ga_ls5t_ard_3-0-0_111080_2009-08-17_final
2009-08-17 11:18:13	ga_ls5t_ard_3-0-0_111081_2009-08-17_final
2009-08-17 11:18:37	ga_ls5t_ard_3-0-0_111082_2009-08-17_final
2009-08-17 11:19:01	ga_ls5t_ard_3-0-0_111083_2009-08-17_final
2009-08-17 11:19:25	ga_ls5t_ard_3-0-0_111084_2009-08-17_final
2009-08-18 10:17:25	ga_ls5t_ard_3-1-0_102068_2009-08-18_final
2009-08-18 10:17:49	ga_ls5t_ard_3-0-0_102069_2009-08-18_final
2009-08-18 10:18:13	ga_ls5t_ard_3-0-0_102070_2009-08-18_final
2009-08-18 10:18:37	ga_ls5t_ard_3-0-0_102071_2009-08-18_final
2009-08-18 10:19:01	ga_ls5t_ard_3-0-0_102072_2009-08-18_final
2009-08-18 10:19:25	ga_ls5t_ard_3-0-0_102073_2009-08-18_final
2009-08-18 10:19:49	ga_ls5t_ard_3-0-0_102074_2009-08-18_final
2009-08-18 10:20:13	ga_ls5t_ard_3-0-0_102075_2009-08-18_final
2009-08-18 10:20:37	ga_ls5t_ard_3-0-0_102076_2009-08-18_final
2009-08-18 10:21:01	ga_ls5t_ard_3-0-0_102077_2009-08-18_final
2009-08-18 10:21:49	ga_ls5t_ard_3-0-0_102079_2009-08-18_final
2009-08-18 10:22:37	ga_ls5t_ard_3-0-0_102081_2009-08-18_final
2009-08-18 10:23:01	ga_ls5t_ard_3-0-0_102082_2009-08-18_final
2009-08-19 09:24:13	ga_ls5t_ard_3-0-0_093074_2009-08-18_final
2009-08-19 09:24:36	ga_ls5t_ard_3-0-0_093075_2009-08-18_final
2009-08-19 09:25:01	ga_ls5t_ard_3-0-0_093076_2009-08-18_final
2009-08-19 09:25:24	ga_ls5t_ard_3-0-0_093077_2009-08-18_final
2009-08-19 09:25:48	ga_ls5t_ard_3-0-0_093078_2009-08-18_final
2009-08-19 09:26:12	ga_ls5t_ard_3-0-0_093079_2009-08-18_final
2009-08-19 09:26:36	ga_ls5t_ard_3-0-0_093080_2009-08-18_final
2009-08-19 09:27:00	ga_ls5t_ard_3-0-0_093081_2009-08-18_final
2009-08-19 09:27:24	ga_ls5t_ard_3-0-0_093082_2009-08-18_final
2009-08-19 11:01:30	ga_ls5t_ard_3-0-0_109070_2009-08-19_final
2009-08-19 11:01:54	ga_ls5t_ard_3-0-0_109071_2009-08-19_final
2009-08-19 11:02:18	ga_ls5t_ard_3-0-0_109072_2009-08-19_final
2009-08-19 11:02:42	ga_ls5t_ard_3-0-0_109073_2009-08-19_final
2009-08-19 11:03:06	ga_ls5t_ard_3-0-0_109074_2009-08-19_final
2009-08-19 11:03:30	ga_ls5t_ard_3-0-0_109075_2009-08-19_final
2009-08-19 11:03:54	ga_ls5t_ard_3-0-0_109076_2009-08-19_final
2009-08-19 11:04:17	ga_ls5t_ard_3-0-0_109077_2009-08-19_final
2009-08-19 11:04:42	ga_ls5t_ard_3-0-0_109078_2009-08-19_final
2009-08-19 11:05:05	ga_ls5t_ard_3-0-0_109079_2009-08-19_final
2009-08-19 11:05:29	ga_ls5t_ard_3-0-0_109080_2009-08-19_final
2009-08-19 11:05:53	ga_ls5t_ard_3-0-0_109081_2009-08-19_final
2009-08-19 11:06:17	ga_ls5t_ard_3-0-0_109082_2009-08-19_final
2009-08-19 11:06:41	ga_ls5t_ard_3-0-0_109083_2009-08-19_final
2009-08-19 11:07:05	ga_ls5t_ard_3-0-0_109084_2009-08-19_final
2009-08-28 09:18:34	ga_ls5t_ard_3-0-0_092075_2009-08-27_final
2009-08-28 09:18:58	ga_ls5t_ard_3-0-0_092076_2009-08-27_final
2009-08-28 09:19:22	ga_ls5t_ard_3-0-0_092077_2009-08-27_final
2009-08-28 09:19:46	ga_ls5t_ard_3-0-0_092078_2009-08-27_final
2009-08-28 09:20:10	ga_ls5t_ard_3-0-0_092079_2009-08-27_final
2009-08-28 09:20:33	ga_ls5t_ard_3-0-0_092080_2009-08-27_final
2009-08-28 09:20:57	ga_ls5t_ard_3-0-0_092081_2009-08-27_final
2009-08-28 09:21:21	ga_ls5t_ard_3-0-0_092082_2009-08-27_final
2009-08-28 09:21:45	ga_ls5t_ard_3-0-0_092083_2009-08-27_final
2009-08-28 09:22:09	ga_ls5t_ard_3-0-0_092084_2009-08-27_final
2009-08-28 09:22:33	ga_ls5t_ard_3-0-0_092085_2009-08-27_final
2009-08-28 09:22:57	ga_ls5t_ard_3-0-0_092086_2009-08-27_final

Return to ga_ls5t_ard_3 across August 2009 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

2009

August

All days