Search ga_ls5t_ard_3 across July 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
2009-07-15 10:29:16	ga_ls5t_ard_3-0-0_104068_2009-07-15_final
2009-07-15 10:29:40	ga_ls5t_ard_3-0-0_104069_2009-07-15_final
2009-07-15 10:30:04	ga_ls5t_ard_3-0-0_104070_2009-07-15_final
2009-07-15 10:30:28	ga_ls5t_ard_3-0-0_104071_2009-07-15_final
2009-07-15 10:30:52	ga_ls5t_ard_3-0-0_104072_2009-07-15_final
2009-07-16 09:35:16	ga_ls5t_ard_3-0-0_095072_2009-07-16_final
2009-07-16 09:35:40	ga_ls5t_ard_3-0-0_095073_2009-07-16_final
2009-07-16 09:36:04	ga_ls5t_ard_3-0-0_095074_2009-07-16_final
2009-07-16 09:36:27	ga_ls5t_ard_3-0-0_095075_2009-07-16_final
2009-07-16 09:36:52	ga_ls5t_ard_3-0-0_095076_2009-07-16_final
2009-07-16 09:37:15	ga_ls5t_ard_3-0-0_095077_2009-07-16_final
2009-07-16 09:37:39	ga_ls5t_ard_3-0-0_095078_2009-07-16_final
2009-07-16 09:38:03	ga_ls5t_ard_3-0-0_095079_2009-07-16_final
2009-07-16 11:12:09	ga_ls5t_ard_3-0-0_111067_2009-07-16_final
2009-07-16 11:13:45	ga_ls5t_ard_3-1-0_111071_2009-07-16_final
2009-07-16 11:14:09	ga_ls5t_ard_3-0-0_111072_2009-07-16_final
2009-07-16 11:14:33	ga_ls5t_ard_3-0-0_111073_2009-07-16_final
2009-07-16 11:14:57	ga_ls5t_ard_3-0-0_111074_2009-07-16_final
2009-07-17 10:16:57	ga_ls5t_ard_3-0-0_102068_2009-07-17_final
2009-07-17 10:17:21	ga_ls5t_ard_3-0-0_102069_2009-07-17_final
2009-07-17 10:17:44	ga_ls5t_ard_3-0-0_102070_2009-07-17_final
2009-07-17 10:18:08	ga_ls5t_ard_3-0-0_102071_2009-07-17_final
2009-07-17 10:18:33	ga_ls5t_ard_3-0-0_102072_2009-07-17_final
2009-07-17 10:18:56	ga_ls5t_ard_3-0-0_102073_2009-07-17_final
2009-07-18 09:23:44	ga_ls5t_ard_3-0-0_093074_2009-07-17_final
2009-07-18 09:24:08	ga_ls5t_ard_3-0-0_093075_2009-07-17_final
2009-07-18 09:24:32	ga_ls5t_ard_3-0-0_093076_2009-07-17_final
2009-07-18 09:24:56	ga_ls5t_ard_3-0-0_093077_2009-07-17_final
2009-07-18 09:25:20	ga_ls5t_ard_3-0-0_093078_2009-07-17_final
2009-07-18 09:25:44	ga_ls5t_ard_3-0-0_093079_2009-07-17_final
2009-07-18 11:01:01	ga_ls5t_ard_3-0-0_109070_2009-07-18_final
2009-07-18 11:01:25	ga_ls5t_ard_3-0-0_109071_2009-07-18_final
2009-07-18 11:01:49	ga_ls5t_ard_3-0-0_109072_2009-07-18_final
2009-07-19 10:05:49	ga_ls5t_ard_3-0-0_100071_2009-07-19_final
2009-07-19 10:06:13	ga_ls5t_ard_3-0-0_100072_2009-07-19_final
2009-07-19 10:06:37	ga_ls5t_ard_3-0-0_100073_2009-07-19_final
2009-07-19 10:07:01	ga_ls5t_ard_3-0-0_100074_2009-07-19_final
2009-07-20 09:12:12	ga_ls5t_ard_3-0-0_091076_2009-07-19_final
2009-07-20 09:12:36	ga_ls5t_ard_3-0-0_091077_2009-07-19_final
2009-07-20 09:13:00	ga_ls5t_ard_3-0-0_091078_2009-07-19_final
2009-07-20 09:13:24	ga_ls5t_ard_3-0-0_091079_2009-07-19_final
2009-07-20 10:48:41	ga_ls5t_ard_3-0-0_107070_2009-07-20_final
2009-07-20 10:49:06	ga_ls5t_ard_3-0-0_107071_2009-07-20_final
2009-07-20 10:49:29	ga_ls5t_ard_3-0-0_107072_2009-07-20_final
2009-07-21 09:52:17	ga_ls5t_ard_3-0-0_098068_2009-07-21_final
2009-07-21 09:52:41	ga_ls5t_ard_3-0-0_098069_2009-07-21_final
2009-07-21 09:53:05	ga_ls5t_ard_3-0-0_098070_2009-07-21_final
2009-07-21 09:53:29	ga_ls5t_ard_3-0-0_098071_2009-07-21_final
2009-07-21 09:53:53	ga_ls5t_ard_3-0-0_098072_2009-07-21_final
2009-07-21 09:54:17	ga_ls5t_ard_3-0-0_098073_2009-07-21_final
2009-07-21 11:30:46	ga_ls5t_ard_3-0-0_114067_2009-07-21_final
2009-07-22 09:01:04	ga_ls5t_ard_3-0-0_089079_2009-07-21_final
2009-07-22 09:01:28	ga_ls5t_ard_3-0-0_089080_2009-07-21_final
2009-07-22 09:01:52	ga_ls5t_ard_3-0-0_089081_2009-07-21_final
2009-07-22 09:02:16	ga_ls5t_ard_3-0-0_089082_2009-07-21_final
2009-07-22 09:02:40	ga_ls5t_ard_3-0-0_089083_2009-07-21_final
2009-07-22 10:35:34	ga_ls5t_ard_3-0-0_105068_2009-07-22_final
2009-07-22 10:35:58	ga_ls5t_ard_3-0-0_105069_2009-07-22_final
2009-07-22 10:36:22	ga_ls5t_ard_3-0-0_105070_2009-07-22_final
2009-07-22 10:36:46	ga_ls5t_ard_3-0-0_105071_2009-07-22_final
2009-07-22 10:37:10	ga_ls5t_ard_3-0-0_105072_2009-07-22_final
2009-07-22 10:37:34	ga_ls5t_ard_3-0-0_105073_2009-07-22_final
2009-07-23 09:39:33	ga_ls5t_ard_3-0-0_096067_2009-07-23_final
2009-07-23 09:40:45	ga_ls5t_ard_3-0-0_096070_2009-07-23_final
2009-07-23 09:41:09	ga_ls5t_ard_3-0-0_096071_2009-07-23_final
2009-07-23 09:41:33	ga_ls5t_ard_3-0-0_096072_2009-07-23_final
2009-07-23 09:41:57	ga_ls5t_ard_3-0-0_096073_2009-07-23_final
2009-07-23 09:42:21	ga_ls5t_ard_3-0-0_096074_2009-07-23_final
2009-07-25 09:27:14	ga_ls5t_ard_3-0-0_094067_2009-07-24_final
2009-07-25 09:29:37	ga_ls5t_ard_3-0-0_094073_2009-07-24_final
2009-07-25 09:30:25	ga_ls5t_ard_3-0-0_094075_2009-07-25_final
2009-07-25 09:30:49	ga_ls5t_ard_3-0-0_094076_2009-07-25_final
2009-07-25 09:31:13	ga_ls5t_ard_3-0-0_094077_2009-07-25_final
2009-07-25 09:31:37	ga_ls5t_ard_3-0-0_094078_2009-07-25_final
2009-07-25 09:32:01	ga_ls5t_ard_3-0-0_094079_2009-07-25_final
2009-07-25 09:32:25	ga_ls5t_ard_3-0-0_094080_2009-07-25_final
2009-07-26 10:11:42	ga_ls5t_ard_3-1-0_101070_2009-07-26_final
2009-07-26 10:12:06	ga_ls5t_ard_3-0-0_101071_2009-07-26_final
2009-07-26 10:12:30	ga_ls5t_ard_3-0-0_101072_2009-07-26_final
2009-07-28 09:58:10	ga_ls5t_ard_3-0-0_099067_2009-07-28_final
2009-07-28 09:58:35	ga_ls5t_ard_3-0-0_099068_2009-07-28_final
2009-07-28 09:58:59	ga_ls5t_ard_3-0-0_099069_2009-07-28_final
2009-07-28 09:59:22	ga_ls5t_ard_3-0-0_099070_2009-07-28_final
2009-07-28 09:59:46	ga_ls5t_ard_3-0-0_099071_2009-07-28_final
2009-07-28 10:00:10	ga_ls5t_ard_3-0-0_099072_2009-07-28_final
2009-07-28 10:00:34	ga_ls5t_ard_3-1-0_099073_2009-07-28_final
2009-07-28 10:00:58	ga_ls5t_ard_3-0-0_099074_2009-07-28_final
2009-07-29 09:06:33	ga_ls5t_ard_3-0-0_090077_2009-07-28_final
2009-07-29 09:06:58	ga_ls5t_ard_3-0-0_090078_2009-07-28_final
2009-07-29 09:07:21	ga_ls5t_ard_3-0-0_090079_2009-07-28_final
2009-07-29 09:07:45	ga_ls5t_ard_3-0-0_090080_2009-07-28_final
2009-07-29 09:08:09	ga_ls5t_ard_3-0-0_090081_2009-07-28_final
2009-07-29 09:08:34	ga_ls5t_ard_3-0-0_090082_2009-07-28_final
2009-07-29 09:08:57	ga_ls5t_ard_3-0-0_090083_2009-07-28_final
2009-07-29 09:09:21	ga_ls5t_ard_3-0-0_090084_2009-07-28_final
2009-07-30 09:47:02	ga_ls5t_ard_3-0-0_097070_2009-07-30_final
2009-07-30 09:47:26	ga_ls5t_ard_3-0-0_097071_2009-07-30_final
2009-07-30 09:47:51	ga_ls5t_ard_3-0-0_097072_2009-07-30_final
2009-07-30 09:48:14	ga_ls5t_ard_3-0-0_097073_2009-07-30_final
2009-07-30 09:48:38	ga_ls5t_ard_3-0-0_097074_2009-07-30_final

Return to ga_ls5t_ard_3 across July 2009 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

2009

July

All days