Search ga_ls5t_ard_3 across July 2010

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

83 results

Time (local)	Label
2010-07-10 11:22:48	ga_ls5t_ard_3-0-0_112074_2010-07-10_final
2010-07-10 11:22:52	ga_ls5t_ard_3-1-0_112073_2010-07-10_final
2010-07-10 11:23:12	ga_ls5t_ard_3-0-0_112075_2010-07-10_final
2010-07-10 11:23:36	ga_ls5t_ard_3-0-0_112076_2010-07-10_final
2010-07-10 11:24:00	ga_ls5t_ard_3-0-0_112077_2010-07-10_final
2010-07-14 09:19:11	ga_ls5t_ard_3-1-0_092074_2010-07-13_final
2010-07-14 09:19:35	ga_ls5t_ard_3-0-0_092075_2010-07-13_final
2010-07-14 09:19:59	ga_ls5t_ard_3-0-0_092076_2010-07-13_final
2010-07-15 09:59:39	ga_ls5t_ard_3-0-0_099067_2010-07-15_final
2010-07-15 10:00:02	ga_ls5t_ard_3-0-0_099068_2010-07-15_final
2010-07-15 10:00:27	ga_ls5t_ard_3-0-0_099069_2010-07-15_final
2010-07-15 10:00:50	ga_ls5t_ard_3-0-0_099070_2010-07-15_final
2010-07-15 10:01:14	ga_ls5t_ard_3-0-0_099071_2010-07-15_final
2010-07-15 10:01:38	ga_ls5t_ard_3-0-0_099072_2010-07-15_final
2010-07-15 10:02:02	ga_ls5t_ard_3-0-0_099073_2010-07-15_final
2010-07-15 10:02:26	ga_ls5t_ard_3-1-0_099074_2010-07-15_final
2010-07-17 09:48:28	ga_ls5t_ard_3-0-0_097070_2010-07-17_final
2010-07-17 09:48:52	ga_ls5t_ard_3-0-0_097071_2010-07-17_final
2010-07-17 09:49:16	ga_ls5t_ard_3-0-0_097072_2010-07-17_final
2010-07-17 09:49:40	ga_ls5t_ard_3-0-0_097073_2010-07-17_final
2010-07-17 09:50:04	ga_ls5t_ard_3-0-0_097074_2010-07-17_final
2010-07-17 09:50:28	ga_ls5t_ard_3-0-0_097075_2010-07-17_final
2010-07-17 09:50:52	ga_ls5t_ard_3-0-0_097076_2010-07-17_final
2010-07-17 09:51:16	ga_ls5t_ard_3-0-0_097077_2010-07-17_final
2010-07-17 09:51:40	ga_ls5t_ard_3-0-0_097078_2010-07-17_final
2010-07-18 10:30:56	ga_ls5t_ard_3-0-0_104068_2010-07-18_final
2010-07-18 10:31:20	ga_ls5t_ard_3-0-0_104069_2010-07-18_final
2010-07-18 10:31:44	ga_ls5t_ard_3-0-0_104070_2010-07-18_final
2010-07-18 10:32:08	ga_ls5t_ard_3-0-0_104071_2010-07-18_final
2010-07-18 10:32:32	ga_ls5t_ard_3-0-0_104072_2010-07-18_final
2010-07-18 10:32:55	ga_ls5t_ard_3-0-0_104073_2010-07-18_final
2010-07-18 10:33:19	ga_ls5t_ard_3-0-0_104074_2010-07-18_final
2010-07-18 10:33:43	ga_ls5t_ard_3-0-0_104075_2010-07-18_final
2010-07-18 10:34:07	ga_ls5t_ard_3-0-0_104076_2010-07-18_final
2010-07-18 10:34:31	ga_ls5t_ard_3-0-0_104077_2010-07-18_final
2010-07-19 09:36:54	ga_ls5t_ard_3-0-0_095072_2010-07-19_final
2010-07-19 09:37:18	ga_ls5t_ard_3-0-0_095073_2010-07-19_final
2010-07-19 09:37:42	ga_ls5t_ard_3-0-0_095074_2010-07-19_final
2010-07-19 09:38:06	ga_ls5t_ard_3-0-0_095075_2010-07-19_final
2010-07-19 11:13:47	ga_ls5t_ard_3-0-0_111067_2010-07-19_final
2010-07-19 11:14:11	ga_ls5t_ard_3-0-0_111068_2010-07-19_final
2010-07-19 11:15:23	ga_ls5t_ard_3-1-0_111071_2010-07-19_final
2010-07-19 11:15:47	ga_ls5t_ard_3-0-0_111072_2010-07-19_final
2010-07-19 11:16:11	ga_ls5t_ard_3-0-0_111073_2010-07-19_final
2010-07-19 11:16:35	ga_ls5t_ard_3-0-0_111074_2010-07-19_final
2010-07-19 11:16:59	ga_ls5t_ard_3-0-0_111075_2010-07-19_final
2010-07-22 10:07:23	ga_ls5t_ard_3-0-0_100071_2010-07-22_final
2010-07-22 10:07:47	ga_ls5t_ard_3-0-0_100072_2010-07-22_final
2010-07-22 10:08:11	ga_ls5t_ard_3-0-0_100073_2010-07-22_final
2010-07-22 10:08:35	ga_ls5t_ard_3-0-0_100074_2010-07-22_final
2010-07-24 09:53:25	ga_ls5t_ard_3-1-0_098067_2010-07-24_final
2010-07-24 09:54:37	ga_ls5t_ard_3-0-0_098070_2010-07-24_final
2010-07-24 09:55:01	ga_ls5t_ard_3-0-0_098071_2010-07-24_final
2010-07-24 09:55:25	ga_ls5t_ard_3-0-0_098072_2010-07-24_final
2010-07-24 09:55:49	ga_ls5t_ard_3-0-0_098073_2010-07-24_final
2010-07-24 09:56:13	ga_ls5t_ard_3-0-0_098074_2010-07-24_final
2010-07-24 09:56:37	ga_ls5t_ard_3-0-0_098075_2010-07-24_final
2010-07-24 09:57:01	ga_ls5t_ard_3-0-0_098076_2010-07-24_final
2010-07-24 11:32:18	ga_ls5t_ard_3-1-0_114067_2010-07-24_final
2010-07-24 11:35:06	ga_ls5t_ard_3-0-0_114074_2010-07-24_final
2010-07-24 11:35:30	ga_ls5t_ard_3-0-0_114075_2010-07-24_final
2010-07-24 11:35:54	ga_ls5t_ard_3-0-0_114076_2010-07-24_final
2010-07-24 11:36:18	ga_ls5t_ard_3-0-0_114077_2010-07-24_final
2010-07-24 11:36:41	ga_ls5t_ard_3-0-0_114078_2010-07-24_final
2010-07-24 11:37:05	ga_ls5t_ard_3-0-0_114079_2010-07-24_final
2010-07-25 10:37:04	ga_ls5t_ard_3-0-0_105068_2010-07-25_final
2010-07-25 10:37:28	ga_ls5t_ard_3-0-0_105069_2010-07-25_final
2010-07-25 10:37:52	ga_ls5t_ard_3-0-0_105070_2010-07-25_final
2010-07-25 10:38:16	ga_ls5t_ard_3-0-0_105071_2010-07-25_final
2010-07-25 10:38:40	ga_ls5t_ard_3-0-0_105072_2010-07-25_final
2010-07-25 10:39:04	ga_ls5t_ard_3-0-0_105073_2010-07-25_final
2010-07-28 11:09:57	ga_ls5t_ard_3-0-0_110073_2010-07-28_final
2010-07-28 11:10:21	ga_ls5t_ard_3-1-0_110074_2010-07-28_final
2010-07-28 11:10:45	ga_ls5t_ard_3-0-0_110075_2010-07-28_final
2010-07-28 11:11:09	ga_ls5t_ard_3-0-0_110076_2010-07-28_final
2010-07-28 11:11:33	ga_ls5t_ard_3-0-0_110077_2010-07-28_final
2010-07-28 11:11:57	ga_ls5t_ard_3-0-0_110078_2010-07-28_final
2010-07-28 11:12:21	ga_ls5t_ard_3-0-0_110079_2010-07-28_final
2010-07-30 09:19:29	ga_ls5t_ard_3-0-0_092075_2010-07-29_final
2010-07-30 09:19:53	ga_ls5t_ard_3-0-0_092076_2010-07-29_final
2010-07-30 09:20:17	ga_ls5t_ard_3-0-0_092077_2010-07-29_final
2010-07-30 09:20:41	ga_ls5t_ard_3-0-0_092078_2010-07-29_final
2010-07-30 09:21:05	ga_ls5t_ard_3-0-0_092079_2010-07-29_final

Return to ga_ls5t_ard_3 across July 2010 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

2010

July

All days