Search ga_ls5t_ard_3 across July 2007

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
2007-07-01 09:05:05	ga_ls5t_ard_3-1-0_089077_2007-06-30_final
2007-07-01 09:05:29	ga_ls5t_ard_3-0-0_089078_2007-06-30_final
2007-07-01 09:05:53	ga_ls5t_ard_3-0-0_089079_2007-06-30_final
2007-07-01 09:06:16	ga_ls5t_ard_3-0-0_089080_2007-06-30_final
2007-07-01 09:06:40	ga_ls5t_ard_3-0-0_089081_2007-06-30_final
2007-07-01 09:07:05	ga_ls5t_ard_3-0-0_089082_2007-06-30_final
2007-07-01 09:07:28	ga_ls5t_ard_3-0-0_089083_2007-06-30_final
2007-07-01 09:07:52	ga_ls5t_ard_3-0-0_089084_2007-06-30_final
2007-07-01 09:08:16	ga_ls5t_ard_3-0-0_089085_2007-06-30_final
2007-07-01 09:08:40	ga_ls5t_ard_3-0-0_089086_2007-06-30_final
2007-07-20 09:31:51	ga_ls5t_ard_3-0-0_094067_2007-07-20_final
2007-07-20 09:34:14	ga_ls5t_ard_3-0-0_094073_2007-07-20_final
2007-07-24 09:15:29	ga_ls5t_ard_3-0-0_090088_2007-07-23_final
2007-07-24 09:15:53	ga_ls5t_ard_3-0-0_090089_2007-07-23_final
2007-07-24 09:16:16	ga_ls5t_ard_3-1-0_090090_2007-07-23_final
2007-07-24 10:46:22	ga_ls5t_ard_3-0-0_106068_2007-07-24_final
2007-07-24 10:46:46	ga_ls5t_ard_3-0-0_106069_2007-07-24_final
2007-07-24 10:47:10	ga_ls5t_ard_3-0-0_106070_2007-07-24_final
2007-07-24 10:47:34	ga_ls5t_ard_3-0-0_106071_2007-07-24_final
2007-07-24 10:47:58	ga_ls5t_ard_3-0-0_106072_2007-07-24_final
2007-07-24 10:48:22	ga_ls5t_ard_3-0-0_106073_2007-07-24_final
2007-07-24 10:48:46	ga_ls5t_ard_3-0-0_106074_2007-07-24_final
2007-07-24 10:49:10	ga_ls5t_ard_3-0-0_106075_2007-07-24_final
2007-07-24 10:49:34	ga_ls5t_ard_3-0-0_106076_2007-07-24_final
2007-07-24 10:49:58	ga_ls5t_ard_3-0-0_106077_2007-07-24_final
2007-07-24 10:50:22	ga_ls5t_ard_3-0-0_106078_2007-07-24_final
2007-07-24 10:50:46	ga_ls5t_ard_3-0-0_106079_2007-07-24_final
2007-07-24 10:51:10	ga_ls5t_ard_3-0-0_106080_2007-07-24_final
2007-07-24 10:51:34	ga_ls5t_ard_3-0-0_106081_2007-07-24_final
2007-07-24 10:51:58	ga_ls5t_ard_3-0-0_106082_2007-07-24_final
2007-07-24 10:52:22	ga_ls5t_ard_3-0-0_106083_2007-07-24_final
2007-07-25 09:51:32	ga_ls5t_ard_3-0-0_097070_2007-07-25_final
2007-07-25 09:51:56	ga_ls5t_ard_3-0-0_097071_2007-07-25_final
2007-07-25 09:52:20	ga_ls5t_ard_3-0-0_097072_2007-07-25_final
2007-07-25 09:52:44	ga_ls5t_ard_3-0-0_097073_2007-07-25_final
2007-07-25 09:54:20	ga_ls5t_ard_3-0-0_097077_2007-07-25_final
2007-07-25 09:54:44	ga_ls5t_ard_3-0-0_097078_2007-07-25_final
2007-07-25 09:55:08	ga_ls5t_ard_3-0-0_097079_2007-07-25_final
2007-07-25 09:55:32	ga_ls5t_ard_3-0-0_097080_2007-07-25_final
2007-07-25 09:55:56	ga_ls5t_ard_3-0-0_097081_2007-07-25_final
2007-07-25 09:56:20	ga_ls5t_ard_3-1-0_097082_2007-07-25_final
2007-07-25 09:56:44	ga_ls5t_ard_3-0-0_097083_2007-07-25_final
2007-07-25 09:57:08	ga_ls5t_ard_3-0-0_097084_2007-07-25_final
2007-07-25 09:57:32	ga_ls5t_ard_3-0-0_097085_2007-07-25_final
2007-07-25 11:29:14	ga_ls5t_ard_3-0-0_113067_2007-07-25_final
2007-07-25 11:32:01	ga_ls5t_ard_3-0-0_113074_2007-07-25_final
2007-07-25 11:32:25	ga_ls5t_ard_3-0-0_113075_2007-07-25_final
2007-07-25 11:32:49	ga_ls5t_ard_3-0-0_113076_2007-07-25_final
2007-07-25 11:33:13	ga_ls5t_ard_3-0-0_113077_2007-07-25_final
2007-07-25 11:33:37	ga_ls5t_ard_3-0-0_113078_2007-07-25_final
2007-07-25 11:34:01	ga_ls5t_ard_3-0-0_113079_2007-07-25_final
2007-07-25 11:34:49	ga_ls5t_ard_3-0-0_113081_2007-07-25_final
2007-07-25 11:35:13	ga_ls5t_ard_3-0-0_113082_2007-07-25_final
2007-07-25 11:35:37	ga_ls5t_ard_3-0-0_113083_2007-07-25_final
2007-07-25 11:36:01	ga_ls5t_ard_3-0-0_113084_2007-07-25_final
2007-07-26 10:34:00	ga_ls5t_ard_3-0-0_104068_2007-07-26_final
2007-07-26 10:34:24	ga_ls5t_ard_3-0-0_104069_2007-07-26_final
2007-07-26 10:34:48	ga_ls5t_ard_3-0-0_104070_2007-07-26_final
2007-07-26 10:35:11	ga_ls5t_ard_3-0-0_104071_2007-07-26_final
2007-07-26 10:35:36	ga_ls5t_ard_3-0-0_104072_2007-07-26_final
2007-07-26 10:35:59	ga_ls5t_ard_3-0-0_104073_2007-07-26_final
2007-07-26 10:36:23	ga_ls5t_ard_3-0-0_104074_2007-07-26_final
2007-07-26 10:36:47	ga_ls5t_ard_3-0-0_104075_2007-07-26_final
2007-07-26 10:37:11	ga_ls5t_ard_3-0-0_104076_2007-07-26_final
2007-07-26 10:37:35	ga_ls5t_ard_3-0-0_104077_2007-07-26_final
2007-07-26 10:37:59	ga_ls5t_ard_3-1-0_104078_2007-07-26_final
2007-07-26 10:38:23	ga_ls5t_ard_3-0-0_104079_2007-07-26_final
2007-07-26 10:38:47	ga_ls5t_ard_3-0-0_104080_2007-07-26_final
2007-07-26 10:39:11	ga_ls5t_ard_3-0-0_104081_2007-07-26_final
2007-07-26 10:39:35	ga_ls5t_ard_3-0-0_104082_2007-07-26_final
2007-07-27 09:37:58	ga_ls5t_ard_3-0-0_095067_2007-07-27_final
2007-07-27 09:40:22	ga_ls5t_ard_3-0-0_095073_2007-07-27_final
2007-07-27 09:40:46	ga_ls5t_ard_3-0-0_095074_2007-07-27_final
2007-07-27 09:41:10	ga_ls5t_ard_3-0-0_095075_2007-07-27_final
2007-07-27 09:41:34	ga_ls5t_ard_3-0-0_095076_2007-07-27_final
2007-07-27 09:41:57	ga_ls5t_ard_3-0-0_095077_2007-07-27_final
2007-07-27 09:42:21	ga_ls5t_ard_3-0-0_095078_2007-07-27_final
2007-07-27 09:42:45	ga_ls5t_ard_3-0-0_095079_2007-07-27_final
2007-07-27 09:43:09	ga_ls5t_ard_3-0-0_095080_2007-07-27_final
2007-07-27 09:43:33	ga_ls5t_ard_3-0-0_095081_2007-07-27_final
2007-07-27 09:43:57	ga_ls5t_ard_3-0-0_095082_2007-07-27_final
2007-07-27 09:44:21	ga_ls5t_ard_3-0-0_095083_2007-07-27_final
2007-07-27 09:44:45	ga_ls5t_ard_3-0-0_095084_2007-07-27_final
2007-07-27 09:45:09	ga_ls5t_ard_3-0-0_095085_2007-07-27_final
2007-07-27 09:45:33	ga_ls5t_ard_3-0-0_095086_2007-07-27_final
2007-07-27 11:16:51	ga_ls5t_ard_3-0-0_111067_2007-07-27_final
2007-07-27 11:17:15	ga_ls5t_ard_3-1-0_111068_2007-07-27_final
2007-07-27 11:18:27	ga_ls5t_ard_3-1-0_111071_2007-07-27_final
2007-07-27 11:18:51	ga_ls5t_ard_3-0-0_111072_2007-07-27_final
2007-07-27 11:19:15	ga_ls5t_ard_3-0-0_111073_2007-07-27_final
2007-07-27 11:19:39	ga_ls5t_ard_3-0-0_111074_2007-07-27_final
2007-07-27 11:20:02	ga_ls5t_ard_3-0-0_111075_2007-07-27_final
2007-07-27 11:20:27	ga_ls5t_ard_3-0-0_111076_2007-07-27_final
2007-07-27 11:20:50	ga_ls5t_ard_3-0-0_111077_2007-07-27_final
2007-07-27 11:21:15	ga_ls5t_ard_3-0-0_111078_2007-07-27_final
2007-07-27 11:21:38	ga_ls5t_ard_3-0-0_111079_2007-07-27_final
2007-07-27 11:22:02	ga_ls5t_ard_3-0-0_111080_2007-07-27_final
2007-07-27 11:22:26	ga_ls5t_ard_3-0-0_111081_2007-07-27_final
2007-07-27 11:22:50	ga_ls5t_ard_3-0-0_111082_2007-07-27_final
2007-07-27 11:23:14	ga_ls5t_ard_3-0-0_111083_2007-07-27_final

Return to ga_ls5t_ard_3 across July 2007 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

2007

July

All days