Search ga_ls5t_ard_3 across October 1996

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
1996-10-02 08:50:40	ga_ls5t_ard_3-0-0_093067_1996-10-01_final
1996-10-02 08:51:04	ga_ls5t_ard_3-1-0_093068_1996-10-01_final
1996-10-02 08:53:28	ga_ls5t_ard_3-0-0_093074_1996-10-01_final
1996-10-02 08:53:51	ga_ls5t_ard_3-0-0_093075_1996-10-01_final
1996-10-02 08:54:16	ga_ls5t_ard_3-0-0_093076_1996-10-01_final
1996-10-02 08:54:39	ga_ls5t_ard_3-0-0_093077_1996-10-01_final
1996-10-02 08:55:04	ga_ls5t_ard_3-0-0_093078_1996-10-01_final
1996-10-02 08:55:27	ga_ls5t_ard_3-0-0_093079_1996-10-01_final
1996-10-02 08:55:51	ga_ls5t_ard_3-0-0_093080_1996-10-01_final
1996-10-02 08:56:15	ga_ls5t_ard_3-0-0_093081_1996-10-01_final
1996-10-02 08:56:39	ga_ls5t_ard_3-0-0_093082_1996-10-01_final
1996-10-02 08:57:03	ga_ls5t_ard_3-0-0_093083_1996-10-01_final
1996-10-02 08:57:27	ga_ls5t_ard_3-0-0_093084_1996-10-01_final
1996-10-03 09:35:35	ga_ls5t_ard_3-0-0_100071_1996-10-03_final
1996-10-03 09:35:59	ga_ls5t_ard_3-0-0_100072_1996-10-03_final
1996-10-03 09:36:23	ga_ls5t_ard_3-0-0_100073_1996-10-03_final
1996-10-03 09:36:47	ga_ls5t_ard_3-0-0_100074_1996-10-03_final
1996-10-03 09:37:10	ga_ls5t_ard_3-0-0_100075_1996-10-03_final
1996-10-03 09:37:35	ga_ls5t_ard_3-0-0_100076_1996-10-03_final
1996-10-03 09:37:58	ga_ls5t_ard_3-0-0_100077_1996-10-03_final
1996-10-03 09:38:22	ga_ls5t_ard_3-0-0_100078_1996-10-03_final
1996-10-03 09:38:46	ga_ls5t_ard_3-0-0_100079_1996-10-03_final
1996-10-03 09:39:10	ga_ls5t_ard_3-0-0_100080_1996-10-03_final
1996-10-03 09:39:34	ga_ls5t_ard_3-0-0_100081_1996-10-03_final
1996-10-03 09:39:58	ga_ls5t_ard_3-0-0_100082_1996-10-03_final
1996-10-03 09:40:22	ga_ls5t_ard_3-0-0_100083_1996-10-03_final
1996-10-04 08:42:00	ga_ls5t_ard_3-0-0_091076_1996-10-03_final
1996-10-04 08:42:24	ga_ls5t_ard_3-0-0_091077_1996-10-03_final
1996-10-04 08:42:48	ga_ls5t_ard_3-0-0_091078_1996-10-03_final
1996-10-04 08:43:12	ga_ls5t_ard_3-0-0_091079_1996-10-03_final
1996-10-04 08:43:36	ga_ls5t_ard_3-0-0_091080_1996-10-03_final
1996-10-04 08:44:00	ga_ls5t_ard_3-0-0_091081_1996-10-03_final
1996-10-04 08:44:24	ga_ls5t_ard_3-0-0_091082_1996-10-03_final
1996-10-04 08:44:48	ga_ls5t_ard_3-0-0_091083_1996-10-03_final
1996-10-04 08:45:12	ga_ls5t_ard_3-0-0_091084_1996-10-03_final
1996-10-04 08:45:36	ga_ls5t_ard_3-0-0_091085_1996-10-03_final
1996-10-04 08:46:00	ga_ls5t_ard_3-0-0_091086_1996-10-03_final
1996-10-04 08:46:24	ga_ls5t_ard_3-0-0_091087_1996-10-03_final
1996-10-04 08:46:48	ga_ls5t_ard_3-0-0_091088_1996-10-03_final
1996-10-04 10:18:29	ga_ls5t_ard_3-0-0_107070_1996-10-04_final
1996-10-04 10:18:54	ga_ls5t_ard_3-0-0_107071_1996-10-04_final
1996-10-04 10:19:18	ga_ls5t_ard_3-0-0_107072_1996-10-04_final
1996-10-04 10:19:41	ga_ls5t_ard_3-0-0_107073_1996-10-04_final
1996-10-04 10:20:06	ga_ls5t_ard_3-0-0_107074_1996-10-04_final
1996-10-04 10:20:29	ga_ls5t_ard_3-0-0_107075_1996-10-04_final
1996-10-04 10:20:53	ga_ls5t_ard_3-0-0_107076_1996-10-04_final
1996-10-04 10:21:17	ga_ls5t_ard_3-0-0_107077_1996-10-04_final
1996-10-04 10:21:41	ga_ls5t_ard_3-0-0_107078_1996-10-04_final
1996-10-04 10:22:05	ga_ls5t_ard_3-0-0_107079_1996-10-04_final
1996-10-04 10:22:29	ga_ls5t_ard_3-0-0_107080_1996-10-04_final
1996-10-04 10:22:53	ga_ls5t_ard_3-0-0_107081_1996-10-04_final
1996-10-11 08:48:09	ga_ls5t_ard_3-0-0_092075_1996-10-10_final
1996-10-11 08:48:33	ga_ls5t_ard_3-0-0_092076_1996-10-10_final
1996-10-11 08:48:56	ga_ls5t_ard_3-0-0_092077_1996-10-10_final
1996-10-11 08:49:21	ga_ls5t_ard_3-0-0_092078_1996-10-10_final
1996-10-11 08:49:44	ga_ls5t_ard_3-0-0_092079_1996-10-10_final
1996-10-13 08:36:41	ga_ls5t_ard_3-0-0_090077_1996-10-12_final
1996-10-13 08:37:05	ga_ls5t_ard_3-0-0_090078_1996-10-12_final
1996-10-13 08:37:29	ga_ls5t_ard_3-0-0_090079_1996-10-12_final
1996-10-13 08:37:53	ga_ls5t_ard_3-0-0_090080_1996-10-12_final
1996-10-13 08:38:17	ga_ls5t_ard_3-0-0_090081_1996-10-12_final
1996-10-13 08:38:41	ga_ls5t_ard_3-0-0_090082_1996-10-12_final
1996-10-13 08:39:05	ga_ls5t_ard_3-0-0_090083_1996-10-12_final
1996-10-13 08:39:29	ga_ls5t_ard_3-0-0_090084_1996-10-12_final
1996-10-13 08:39:53	ga_ls5t_ard_3-0-0_090085_1996-10-12_final
1996-10-13 08:40:17	ga_ls5t_ard_3-0-0_090086_1996-10-12_final
1996-10-29 08:41:52	ga_ls5t_ard_3-0-0_090088_1996-10-28_final
1996-10-29 08:42:16	ga_ls5t_ard_3-0-0_090089_1996-10-28_final
1996-10-29 10:12:46	ga_ls5t_ard_3-0-0_106068_1996-10-29_final
1996-10-29 10:13:10	ga_ls5t_ard_3-0-0_106069_1996-10-29_final
1996-10-29 10:13:34	ga_ls5t_ard_3-0-0_106070_1996-10-29_final
1996-10-29 10:13:58	ga_ls5t_ard_3-0-0_106071_1996-10-29_final
1996-10-29 10:14:22	ga_ls5t_ard_3-0-0_106072_1996-10-29_final
1996-10-29 10:14:46	ga_ls5t_ard_3-0-0_106073_1996-10-29_final
1996-10-29 10:15:10	ga_ls5t_ard_3-0-0_106074_1996-10-29_final
1996-10-29 10:15:34	ga_ls5t_ard_3-0-0_106075_1996-10-29_final
1996-10-29 10:15:58	ga_ls5t_ard_3-0-0_106076_1996-10-29_final
1996-10-29 10:16:22	ga_ls5t_ard_3-0-0_106077_1996-10-29_final
1996-10-29 10:16:46	ga_ls5t_ard_3-0-0_106078_1996-10-29_final
1996-10-29 10:17:10	ga_ls5t_ard_3-0-0_106079_1996-10-29_final
1996-10-29 10:17:34	ga_ls5t_ard_3-0-0_106080_1996-10-29_final
1996-10-29 10:17:57	ga_ls5t_ard_3-0-0_106081_1996-10-29_final
1996-10-29 10:18:21	ga_ls5t_ard_3-0-0_106082_1996-10-29_final
1996-10-30 09:18:24	ga_ls5t_ard_3-0-0_097071_1996-10-29_final
1996-10-30 09:18:48	ga_ls5t_ard_3-0-0_097072_1996-10-29_final
1996-10-30 09:19:11	ga_ls5t_ard_3-0-0_097073_1996-10-29_final
1996-10-30 09:19:35	ga_ls5t_ard_3-0-0_097074_1996-10-29_final
1996-10-30 09:19:59	ga_ls5t_ard_3-0-0_097075_1996-10-29_final
1996-10-30 09:20:23	ga_ls5t_ard_3-0-0_097076_1996-10-29_final
1996-10-30 09:20:47	ga_ls5t_ard_3-0-0_097077_1996-10-29_final
1996-10-30 09:21:11	ga_ls5t_ard_3-0-0_097078_1996-10-29_final
1996-10-30 09:21:35	ga_ls5t_ard_3-0-0_097079_1996-10-29_final
1996-10-30 09:21:59	ga_ls5t_ard_3-0-0_097080_1996-10-29_final
1996-10-30 09:22:23	ga_ls5t_ard_3-0-0_097081_1996-10-29_final
1996-10-30 09:22:47	ga_ls5t_ard_3-0-0_097082_1996-10-29_final
1996-10-30 09:23:11	ga_ls5t_ard_3-0-0_097083_1996-10-29_final
1996-10-30 09:23:35	ga_ls5t_ard_3-0-0_097084_1996-10-29_final
1996-10-30 10:55:41	ga_ls5t_ard_3-0-0_113067_1996-10-30_final
1996-10-30 11:01:16	ga_ls5t_ard_3-0-0_113081_1996-10-30_final
1996-10-30 11:01:40	ga_ls5t_ard_3-0-0_113082_1996-10-30_final

Return to ga_ls5t_ard_3 across October 1996 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

1996

October

All days