Search ga_ls5t_ard_3 across October 1988

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
1988-10-26 09:16:57	ga_ls5t_ard_3-0-0_095072_1988-10-25_final
1988-10-26 09:17:21	ga_ls5t_ard_3-0-0_095073_1988-10-25_final
1988-10-26 09:17:45	ga_ls5t_ard_3-0-0_095074_1988-10-25_final
1988-10-26 09:18:09	ga_ls5t_ard_3-0-0_095075_1988-10-25_final
1988-10-26 09:18:33	ga_ls5t_ard_3-0-0_095076_1988-10-25_final
1988-10-26 09:18:57	ga_ls5t_ard_3-0-0_095077_1988-10-25_final
1988-10-26 09:19:21	ga_ls5t_ard_3-0-0_095078_1988-10-25_final
1988-10-26 09:19:45	ga_ls5t_ard_3-0-0_095079_1988-10-25_final
1988-10-26 09:20:09	ga_ls5t_ard_3-0-0_095080_1988-10-25_final
1988-10-26 09:20:33	ga_ls5t_ard_3-0-0_095081_1988-10-25_final
1988-10-26 09:20:57	ga_ls5t_ard_3-0-0_095082_1988-10-25_final
1988-10-26 09:21:21	ga_ls5t_ard_3-0-0_095083_1988-10-25_final
1988-10-26 09:21:45	ga_ls5t_ard_3-0-0_095084_1988-10-25_final
1988-10-26 09:22:09	ga_ls5t_ard_3-0-0_095085_1988-10-25_final
1988-10-26 09:22:33	ga_ls5t_ard_3-0-0_095086_1988-10-25_final
1988-10-27 09:58:37	ga_ls5t_ard_3-1-0_102068_1988-10-27_final
1988-10-27 09:59:01	ga_ls5t_ard_3-0-0_102069_1988-10-27_final
1988-10-27 09:59:25	ga_ls5t_ard_3-0-0_102070_1988-10-27_final
1988-10-27 09:59:49	ga_ls5t_ard_3-0-0_102071_1988-10-27_final
1988-10-27 10:00:13	ga_ls5t_ard_3-0-0_102072_1988-10-27_final
1988-10-28 09:02:36	ga_ls5t_ard_3-0-0_093067_1988-10-27_final
1988-10-28 09:03:00	ga_ls5t_ard_3-1-0_093068_1988-10-27_final
1988-10-28 09:05:24	ga_ls5t_ard_3-0-0_093074_1988-10-27_final
1988-10-28 09:05:47	ga_ls5t_ard_3-0-0_093075_1988-10-27_final
1988-10-28 09:06:12	ga_ls5t_ard_3-0-0_093076_1988-10-27_final
1988-10-28 09:06:35	ga_ls5t_ard_3-0-0_093077_1988-10-27_final
1988-10-28 09:06:59	ga_ls5t_ard_3-0-0_093078_1988-10-27_final
1988-10-28 09:07:23	ga_ls5t_ard_3-0-0_093079_1988-10-27_final
1988-10-28 09:07:47	ga_ls5t_ard_3-0-0_093080_1988-10-27_final
1988-10-28 09:08:11	ga_ls5t_ard_3-0-0_093081_1988-10-27_final
1988-10-28 09:08:35	ga_ls5t_ard_3-0-0_093082_1988-10-27_final
1988-10-28 09:08:59	ga_ls5t_ard_3-0-0_093083_1988-10-27_final
1988-10-28 09:09:23	ga_ls5t_ard_3-0-0_093084_1988-10-27_final
1988-10-28 09:09:47	ga_ls5t_ard_3-0-0_093085_1988-10-27_final
1988-10-28 09:10:11	ga_ls5t_ard_3-0-0_093086_1988-10-27_final
1988-10-28 09:10:35	ga_ls5t_ard_3-0-0_093087_1988-10-27_final
1988-10-28 09:10:59	ga_ls5t_ard_3-1-0_093088_1988-10-27_final
1988-10-29 09:47:28	ga_ls5t_ard_3-0-0_100071_1988-10-29_final
1988-10-29 09:47:52	ga_ls5t_ard_3-0-0_100072_1988-10-29_final
1988-10-29 09:48:16	ga_ls5t_ard_3-0-0_100073_1988-10-29_final
1988-10-29 09:48:40	ga_ls5t_ard_3-0-0_100074_1988-10-29_final
1988-10-29 09:49:04	ga_ls5t_ard_3-0-0_100075_1988-10-29_final
1988-10-29 09:49:28	ga_ls5t_ard_3-0-0_100076_1988-10-29_final
1988-10-29 09:49:52	ga_ls5t_ard_3-0-0_100077_1988-10-29_final
1988-10-29 09:50:16	ga_ls5t_ard_3-0-0_100078_1988-10-29_final
1988-10-29 09:50:40	ga_ls5t_ard_3-0-0_100079_1988-10-29_final
1988-10-29 09:51:04	ga_ls5t_ard_3-0-0_100080_1988-10-29_final
1988-10-29 09:51:28	ga_ls5t_ard_3-0-0_100081_1988-10-29_final
1988-10-29 09:51:52	ga_ls5t_ard_3-0-0_100082_1988-10-29_final
1988-10-29 09:52:16	ga_ls5t_ard_3-0-0_100083_1988-10-29_final
1988-10-29 09:52:40	ga_ls5t_ard_3-0-0_100084_1988-10-29_final
1988-10-30 08:53:51	ga_ls5t_ard_3-0-0_091076_1988-10-29_final
1988-10-30 08:54:15	ga_ls5t_ard_3-0-0_091077_1988-10-29_final
1988-10-30 08:54:39	ga_ls5t_ard_3-0-0_091078_1988-10-29_final
1988-10-30 08:55:03	ga_ls5t_ard_3-0-0_091079_1988-10-29_final
1988-10-30 08:55:27	ga_ls5t_ard_3-0-0_091080_1988-10-29_final
1988-10-30 08:55:51	ga_ls5t_ard_3-0-0_091081_1988-10-29_final
1988-10-30 08:56:15	ga_ls5t_ard_3-0-0_091082_1988-10-29_final
1988-10-30 08:56:39	ga_ls5t_ard_3-0-0_091083_1988-10-29_final
1988-10-30 08:57:03	ga_ls5t_ard_3-0-0_091084_1988-10-29_final
1988-10-30 08:57:27	ga_ls5t_ard_3-0-0_091085_1988-10-29_final
1988-10-30 08:57:51	ga_ls5t_ard_3-0-0_091086_1988-10-29_final
1988-10-30 08:58:15	ga_ls5t_ard_3-0-0_091087_1988-10-29_final
1988-10-30 08:58:39	ga_ls5t_ard_3-0-0_091088_1988-10-29_final
1988-10-30 10:30:21	ga_ls5t_ard_3-0-0_107070_1988-10-30_final
1988-10-30 10:30:45	ga_ls5t_ard_3-0-0_107071_1988-10-30_final
1988-10-30 10:31:09	ga_ls5t_ard_3-0-0_107072_1988-10-30_final
1988-10-30 10:31:33	ga_ls5t_ard_3-0-0_107073_1988-10-30_final
1988-10-30 10:31:57	ga_ls5t_ard_3-0-0_107074_1988-10-30_final
1988-10-30 10:32:20	ga_ls5t_ard_3-0-0_107075_1988-10-30_final
1988-10-30 10:32:44	ga_ls5t_ard_3-0-0_107076_1988-10-30_final
1988-10-30 10:33:08	ga_ls5t_ard_3-0-0_107077_1988-10-30_final
1988-10-30 10:33:32	ga_ls5t_ard_3-0-0_107078_1988-10-30_final
1988-10-30 10:33:56	ga_ls5t_ard_3-0-0_107079_1988-10-30_final
1988-10-30 10:34:20	ga_ls5t_ard_3-0-0_107080_1988-10-30_final
1988-10-30 10:34:44	ga_ls5t_ard_3-0-0_107081_1988-10-30_final
1988-10-30 10:35:08	ga_ls5t_ard_3-0-0_107082_1988-10-30_final
1988-10-30 10:35:32	ga_ls5t_ard_3-0-0_107083_1988-10-30_final
1988-10-30 10:35:56	ga_ls5t_ard_3-0-0_107084_1988-10-30_final
1988-10-31 09:33:32	ga_ls5t_ard_3-0-0_098067_1988-10-31_final
1988-10-31 09:33:56	ga_ls5t_ard_3-0-0_098068_1988-10-31_final
1988-10-31 09:35:08	ga_ls5t_ard_3-0-0_098071_1988-10-31_final
1988-10-31 09:35:32	ga_ls5t_ard_3-0-0_098072_1988-10-31_final
1988-10-31 09:35:56	ga_ls5t_ard_3-0-0_098073_1988-10-31_final
1988-10-31 09:36:20	ga_ls5t_ard_3-0-0_098074_1988-10-31_final
1988-10-31 09:36:44	ga_ls5t_ard_3-0-0_098075_1988-10-31_final
1988-10-31 09:37:08	ga_ls5t_ard_3-0-0_098076_1988-10-31_final
1988-10-31 09:37:56	ga_ls5t_ard_3-0-0_098078_1988-10-31_final
1988-10-31 09:38:20	ga_ls5t_ard_3-0-0_098079_1988-10-31_final
1988-10-31 09:38:43	ga_ls5t_ard_3-0-0_098080_1988-10-31_final
1988-10-31 09:39:07	ga_ls5t_ard_3-0-0_098081_1988-10-31_final
1988-10-31 09:39:32	ga_ls5t_ard_3-0-0_098082_1988-10-31_final
1988-10-31 09:39:55	ga_ls5t_ard_3-0-0_098083_1988-10-31_final
1988-10-31 09:40:19	ga_ls5t_ard_3-0-0_098084_1988-10-31_final
1988-10-31 11:12:26	ga_ls5t_ard_3-1-0_114067_1988-10-31_final
1988-10-31 11:15:13	ga_ls5t_ard_3-0-0_114074_1988-10-31_final
1988-10-31 11:15:37	ga_ls5t_ard_3-0-0_114075_1988-10-31_final
1988-10-31 11:16:01	ga_ls5t_ard_3-0-0_114076_1988-10-31_final
1988-10-31 11:16:25	ga_ls5t_ard_3-0-0_114077_1988-10-31_final
1988-10-31 11:16:49	ga_ls5t_ard_3-0-0_114078_1988-10-31_final

Return to ga_ls5t_ard_3 across October 1988 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

1988

October

All days