Search ga_ls5t_ard_3 across June 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
2011-06-16 10:00:03	ga_ls5t_ard_3-0-0_099071_2011-06-16_final
2011-06-16 10:00:27	ga_ls5t_ard_3-0-0_099072_2011-06-16_final
2011-06-16 10:00:51	ga_ls5t_ard_3-0-0_099073_2011-06-16_final
2011-06-16 10:01:15	ga_ls5t_ard_3-0-0_099074_2011-06-16_final
2011-06-16 10:01:39	ga_ls5t_ard_3-0-0_099075_2011-06-16_final
2011-06-16 10:02:03	ga_ls5t_ard_3-0-0_099076_2011-06-16_final
2011-06-16 10:02:27	ga_ls5t_ard_3-0-0_099077_2011-06-16_final
2011-06-16 11:40:08	ga_ls5t_ard_3-0-0_115074_2011-06-16_final
2011-06-16 11:40:32	ga_ls5t_ard_3-0-0_115075_2011-06-16_final
2011-06-16 11:40:56	ga_ls5t_ard_3-0-0_115076_2011-06-16_final
2011-06-16 11:41:20	ga_ls5t_ard_3-0-0_115077_2011-06-16_final
2011-06-17 09:06:49	ga_ls5t_ard_3-0-0_090077_2011-06-16_final
2011-06-18 09:47:41	ga_ls5t_ard_3-0-0_097071_2011-06-18_final
2011-06-18 09:48:05	ga_ls5t_ard_3-0-0_097072_2011-06-18_final
2011-06-18 09:48:29	ga_ls5t_ard_3-0-0_097073_2011-06-18_final
2011-06-18 09:48:53	ga_ls5t_ard_3-0-0_097074_2011-06-18_final
2011-06-18 09:49:17	ga_ls5t_ard_3-0-0_097075_2011-06-18_final
2011-06-18 09:49:41	ga_ls5t_ard_3-0-0_097076_2011-06-18_final
2011-06-18 09:50:05	ga_ls5t_ard_3-0-0_097077_2011-06-18_final
2011-06-20 09:35:43	ga_ls5t_ard_3-0-0_095072_2011-06-20_final
2011-06-20 09:36:07	ga_ls5t_ard_3-0-0_095073_2011-06-20_final
2011-06-20 09:36:31	ga_ls5t_ard_3-0-0_095074_2011-06-20_final
2011-06-20 09:36:54	ga_ls5t_ard_3-0-0_095075_2011-06-20_final
2011-06-20 09:37:19	ga_ls5t_ard_3-0-0_095076_2011-06-20_final
2011-06-20 09:37:42	ga_ls5t_ard_3-0-0_095077_2011-06-20_final
2011-06-20 11:14:12	ga_ls5t_ard_3-1-0_111071_2011-06-20_final
2011-06-20 11:14:36	ga_ls5t_ard_3-0-0_111072_2011-06-20_final
2011-06-20 11:15:00	ga_ls5t_ard_3-0-0_111073_2011-06-20_final
2011-06-20 11:15:24	ga_ls5t_ard_3-0-0_111074_2011-06-20_final
2011-06-20 11:15:47	ga_ls5t_ard_3-0-0_111075_2011-06-20_final
2011-06-20 11:16:12	ga_ls5t_ard_3-0-0_111076_2011-06-20_final
2011-06-20 11:16:35	ga_ls5t_ard_3-0-0_111077_2011-06-20_final
2011-06-21 10:18:34	ga_ls5t_ard_3-0-0_102071_2011-06-21_final
2011-06-21 10:18:58	ga_ls5t_ard_3-0-0_102072_2011-06-21_final
2011-06-21 10:19:22	ga_ls5t_ard_3-0-0_102073_2011-06-21_final
2011-06-21 10:19:46	ga_ls5t_ard_3-0-0_102074_2011-06-21_final
2011-06-21 10:20:10	ga_ls5t_ard_3-0-0_102075_2011-06-21_final
2011-06-21 10:20:34	ga_ls5t_ard_3-0-0_102076_2011-06-21_final
2011-06-21 10:20:58	ga_ls5t_ard_3-0-0_102077_2011-06-21_final
2011-06-22 09:24:08	ga_ls5t_ard_3-0-0_093074_2011-06-21_final
2011-06-22 09:24:32	ga_ls5t_ard_3-0-0_093075_2011-06-21_final
2011-06-22 09:24:56	ga_ls5t_ard_3-0-0_093076_2011-06-21_final
2011-06-22 09:25:20	ga_ls5t_ard_3-0-0_093077_2011-06-21_final
2011-06-22 11:01:25	ga_ls5t_ard_3-0-0_109070_2011-06-22_final
2011-06-22 11:01:49	ga_ls5t_ard_3-0-0_109071_2011-06-22_final
2011-06-22 11:02:13	ga_ls5t_ard_3-0-0_109072_2011-06-22_final
2011-06-22 11:02:37	ga_ls5t_ard_3-0-0_109073_2011-06-22_final
2011-06-22 11:03:01	ga_ls5t_ard_3-0-0_109074_2011-06-22_final
2011-06-22 11:03:25	ga_ls5t_ard_3-0-0_109075_2011-06-22_final
2011-06-22 11:03:49	ga_ls5t_ard_3-0-0_109076_2011-06-22_final
2011-06-22 11:04:13	ga_ls5t_ard_3-0-0_109077_2011-06-22_final
2011-06-23 10:06:12	ga_ls5t_ard_3-0-0_100071_2011-06-23_final
2011-06-23 10:06:36	ga_ls5t_ard_3-0-0_100072_2011-06-23_final
2011-06-23 10:07:00	ga_ls5t_ard_3-0-0_100073_2011-06-23_final
2011-06-23 10:07:24	ga_ls5t_ard_3-0-0_100074_2011-06-23_final
2011-06-23 10:07:47	ga_ls5t_ard_3-0-0_100075_2011-06-23_final
2011-06-23 10:08:11	ga_ls5t_ard_3-0-0_100076_2011-06-23_final
2011-06-23 10:08:35	ga_ls5t_ard_3-0-0_100077_2011-06-23_final
2011-06-24 09:12:34	ga_ls5t_ard_3-0-0_091076_2011-06-23_final
2011-06-24 09:12:58	ga_ls5t_ard_3-0-0_091077_2011-06-23_final
2011-06-24 09:13:22	ga_ls5t_ard_3-0-0_091078_2011-06-23_final
2011-06-24 09:13:46	ga_ls5t_ard_3-0-0_091079_2011-06-23_final
2011-06-24 09:14:10	ga_ls5t_ard_3-0-0_091080_2011-06-23_final
2011-06-24 10:49:03	ga_ls5t_ard_3-0-0_107070_2011-06-24_final
2011-06-24 10:49:27	ga_ls5t_ard_3-0-0_107071_2011-06-24_final
2011-06-24 10:49:51	ga_ls5t_ard_3-0-0_107072_2011-06-24_final
2011-06-24 10:50:15	ga_ls5t_ard_3-0-0_107073_2011-06-24_final
2011-06-24 10:50:39	ga_ls5t_ard_3-0-0_107074_2011-06-24_final
2011-06-24 10:51:03	ga_ls5t_ard_3-0-0_107075_2011-06-24_final
2011-06-24 10:51:27	ga_ls5t_ard_3-0-0_107076_2011-06-24_final
2011-06-24 10:51:51	ga_ls5t_ard_3-0-0_107077_2011-06-24_final
2011-06-25 09:53:01	ga_ls5t_ard_3-0-0_098069_2011-06-25_final
2011-06-25 09:53:25	ga_ls5t_ard_3-0-0_098070_2011-06-25_final
2011-06-25 09:53:49	ga_ls5t_ard_3-0-0_098071_2011-06-25_final
2011-06-25 09:54:13	ga_ls5t_ard_3-0-0_098072_2011-06-25_final
2011-06-25 09:54:37	ga_ls5t_ard_3-0-0_098073_2011-06-25_final
2011-06-25 09:55:01	ga_ls5t_ard_3-0-0_098074_2011-06-25_final
2011-06-25 09:55:25	ga_ls5t_ard_3-0-0_098075_2011-06-25_final
2011-06-25 09:55:49	ga_ls5t_ard_3-0-0_098076_2011-06-25_final
2011-06-25 09:56:13	ga_ls5t_ard_3-0-0_098077_2011-06-25_final
2011-06-26 09:00:35	ga_ls5t_ard_3-1-0_089077_2011-06-25_final
2011-06-26 09:00:59	ga_ls5t_ard_3-0-0_089078_2011-06-25_final
2011-06-26 09:01:23	ga_ls5t_ard_3-0-0_089079_2011-06-25_final
2011-06-26 09:01:47	ga_ls5t_ard_3-0-0_089080_2011-06-25_final
2011-06-26 10:35:53	ga_ls5t_ard_3-0-0_105068_2011-06-26_final
2011-06-26 10:36:17	ga_ls5t_ard_3-0-0_105069_2011-06-26_final
2011-06-26 10:36:40	ga_ls5t_ard_3-0-0_105070_2011-06-26_final
2011-06-26 10:37:05	ga_ls5t_ard_3-0-0_105071_2011-06-26_final
2011-06-26 10:37:29	ga_ls5t_ard_3-0-0_105072_2011-06-26_final
2011-06-26 10:37:52	ga_ls5t_ard_3-0-0_105073_2011-06-26_final
2011-06-26 10:38:16	ga_ls5t_ard_3-0-0_105074_2011-06-26_final
2011-06-27 09:41:03	ga_ls5t_ard_3-0-0_096070_2011-06-27_final
2011-06-27 09:41:27	ga_ls5t_ard_3-0-0_096071_2011-06-27_final
2011-06-27 09:42:15	ga_ls5t_ard_3-0-0_096073_2011-06-27_final
2011-06-27 09:42:39	ga_ls5t_ard_3-0-0_096074_2011-06-27_final
2011-06-27 09:43:02	ga_ls5t_ard_3-0-0_096075_2011-06-27_final
2011-06-27 09:43:27	ga_ls5t_ard_3-0-0_096076_2011-06-27_final
2011-06-29 09:29:52	ga_ls5t_ard_3-1-0_094073_2011-06-28_final
2011-06-29 09:31:28	ga_ls5t_ard_3-0-0_094077_2011-06-29_final
2011-06-29 09:31:52	ga_ls5t_ard_3-1-0_094078_2011-06-29_final

Return to ga_ls5t_ard_3 across June 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

June

All days