Search ga_ls5t_ard_3 across February 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
1988-02-08 08:55:22	ga_ls5t_ard_3-0-0_092067_1988-02-07_final
1988-02-08 08:55:46	ga_ls5t_ard_3-0-0_092068_1988-02-07_final
1988-02-08 08:58:34	ga_ls5t_ard_3-1-0_092075_1988-02-07_final
1988-02-08 08:59:22	ga_ls5t_ard_3-0-0_092077_1988-02-07_final
1988-02-08 08:59:46	ga_ls5t_ard_3-0-0_092078_1988-02-07_final
1988-02-15 09:04:27	ga_ls5t_ard_3-0-0_093074_1988-02-14_final
1988-02-15 09:04:51	ga_ls5t_ard_3-0-0_093075_1988-02-14_final
1988-02-15 09:05:15	ga_ls5t_ard_3-0-0_093076_1988-02-14_final
1988-02-15 09:05:39	ga_ls5t_ard_3-0-0_093077_1988-02-14_final
1988-02-15 09:06:03	ga_ls5t_ard_3-0-0_093078_1988-02-14_final
1988-02-15 09:06:27	ga_ls5t_ard_3-0-0_093079_1988-02-14_final
1988-02-15 09:06:51	ga_ls5t_ard_3-0-0_093080_1988-02-14_final
1988-02-15 09:07:15	ga_ls5t_ard_3-0-0_093081_1988-02-14_final
1988-02-15 09:07:39	ga_ls5t_ard_3-0-0_093082_1988-02-14_final
1988-02-15 09:08:03	ga_ls5t_ard_3-0-0_093083_1988-02-14_final
1988-02-15 09:08:27	ga_ls5t_ard_3-0-0_093084_1988-02-14_final
1988-02-15 09:08:51	ga_ls5t_ard_3-0-0_093085_1988-02-14_final
1988-02-15 09:09:15	ga_ls5t_ard_3-0-0_093086_1988-02-14_final
1988-02-15 09:09:39	ga_ls5t_ard_3-0-0_093087_1988-02-14_final
1988-02-15 09:10:03	ga_ls5t_ard_3-1-0_093088_1988-02-14_final
1988-02-15 10:41:45	ga_ls5t_ard_3-0-0_109070_1988-02-15_final
1988-02-15 10:42:09	ga_ls5t_ard_3-0-0_109071_1988-02-15_final
1988-02-15 10:42:33	ga_ls5t_ard_3-0-0_109072_1988-02-15_final
1988-02-15 10:42:56	ga_ls5t_ard_3-0-0_109073_1988-02-15_final
1988-02-15 10:43:21	ga_ls5t_ard_3-0-0_109074_1988-02-15_final
1988-02-15 10:43:44	ga_ls5t_ard_3-0-0_109075_1988-02-15_final
1988-02-15 10:44:08	ga_ls5t_ard_3-0-0_109076_1988-02-15_final
1988-02-15 10:44:32	ga_ls5t_ard_3-0-0_109077_1988-02-15_final
1988-02-15 10:44:56	ga_ls5t_ard_3-0-0_109078_1988-02-15_final
1988-02-15 10:45:20	ga_ls5t_ard_3-0-0_109079_1988-02-15_final
1988-02-15 10:45:44	ga_ls5t_ard_3-0-0_109080_1988-02-15_final
1988-02-15 10:46:08	ga_ls5t_ard_3-0-0_109081_1988-02-15_final
1988-02-15 10:46:32	ga_ls5t_ard_3-0-0_109082_1988-02-15_final
1988-02-15 10:46:56	ga_ls5t_ard_3-0-0_109083_1988-02-15_final
1988-02-15 10:47:20	ga_ls5t_ard_3-0-0_109084_1988-02-15_final
1988-02-16 09:46:32	ga_ls5t_ard_3-0-0_100071_1988-02-16_final
1988-02-16 09:46:56	ga_ls5t_ard_3-0-0_100072_1988-02-16_final
1988-02-16 09:47:20	ga_ls5t_ard_3-0-0_100073_1988-02-16_final
1988-02-16 09:47:44	ga_ls5t_ard_3-0-0_100074_1988-02-16_final
1988-02-16 09:48:08	ga_ls5t_ard_3-0-0_100075_1988-02-16_final
1988-02-16 09:48:32	ga_ls5t_ard_3-0-0_100076_1988-02-16_final
1988-02-16 09:48:56	ga_ls5t_ard_3-0-0_100077_1988-02-16_final
1988-02-16 09:49:20	ga_ls5t_ard_3-0-0_100078_1988-02-16_final
1988-02-16 09:49:44	ga_ls5t_ard_3-0-0_100079_1988-02-16_final
1988-02-16 09:50:08	ga_ls5t_ard_3-0-0_100080_1988-02-16_final
1988-02-16 09:50:31	ga_ls5t_ard_3-0-0_100081_1988-02-16_final
1988-02-16 09:50:56	ga_ls5t_ard_3-0-0_100082_1988-02-16_final
1988-02-16 09:51:20	ga_ls5t_ard_3-0-0_100083_1988-02-16_final
1988-02-16 09:51:44	ga_ls5t_ard_3-0-0_100084_1988-02-16_final
1988-02-17 08:52:55	ga_ls5t_ard_3-0-0_091076_1988-02-16_final
1988-02-17 08:53:19	ga_ls5t_ard_3-0-0_091077_1988-02-16_final
1988-02-17 08:53:43	ga_ls5t_ard_3-0-0_091078_1988-02-16_final
1988-02-17 08:54:07	ga_ls5t_ard_3-0-0_091079_1988-02-16_final
1988-02-17 08:54:31	ga_ls5t_ard_3-0-0_091080_1988-02-16_final
1988-02-17 08:54:55	ga_ls5t_ard_3-0-0_091081_1988-02-16_final
1988-02-17 08:55:19	ga_ls5t_ard_3-0-0_091082_1988-02-16_final
1988-02-17 08:55:43	ga_ls5t_ard_3-0-0_091083_1988-02-16_final
1988-02-17 08:56:07	ga_ls5t_ard_3-0-0_091084_1988-02-16_final
1988-02-17 08:56:31	ga_ls5t_ard_3-0-0_091085_1988-02-16_final
1988-02-17 08:56:55	ga_ls5t_ard_3-0-0_091086_1988-02-16_final
1988-02-17 08:57:19	ga_ls5t_ard_3-0-0_091087_1988-02-16_final
1988-02-17 08:57:43	ga_ls5t_ard_3-0-0_091088_1988-02-16_final
1988-02-17 08:58:07	ga_ls5t_ard_3-0-0_091089_1988-02-16_final
1988-02-17 08:58:30	ga_ls5t_ard_3-0-0_091090_1988-02-16_final
1988-02-17 10:29:24	ga_ls5t_ard_3-0-0_107070_1988-02-17_final
1988-02-17 10:29:49	ga_ls5t_ard_3-0-0_107071_1988-02-17_final
1988-02-17 10:30:13	ga_ls5t_ard_3-0-0_107072_1988-02-17_final
1988-02-17 10:30:36	ga_ls5t_ard_3-0-0_107073_1988-02-17_final
1988-02-17 10:31:00	ga_ls5t_ard_3-0-0_107074_1988-02-17_final
1988-02-17 10:31:24	ga_ls5t_ard_3-0-0_107075_1988-02-17_final
1988-02-17 10:31:48	ga_ls5t_ard_3-0-0_107076_1988-02-17_final
1988-02-17 10:32:12	ga_ls5t_ard_3-0-0_107077_1988-02-17_final
1988-02-18 09:33:48	ga_ls5t_ard_3-0-0_098070_1988-02-18_final
1988-02-18 09:34:12	ga_ls5t_ard_3-0-0_098071_1988-02-18_final
1988-02-18 09:35:00	ga_ls5t_ard_3-0-0_098073_1988-02-18_final
1988-02-18 09:35:24	ga_ls5t_ard_3-0-0_098074_1988-02-18_final
1988-02-18 09:35:48	ga_ls5t_ard_3-0-0_098075_1988-02-18_final
1988-02-18 09:36:12	ga_ls5t_ard_3-0-0_098076_1988-02-18_final
1988-02-18 09:36:36	ga_ls5t_ard_3-0-0_098077_1988-02-18_final
1988-02-18 09:37:00	ga_ls5t_ard_3-0-0_098078_1988-02-18_final
1988-02-18 09:37:24	ga_ls5t_ard_3-0-0_098079_1988-02-18_final
1988-02-18 09:37:48	ga_ls5t_ard_3-0-0_098080_1988-02-18_final
1988-02-18 09:38:11	ga_ls5t_ard_3-0-0_098081_1988-02-18_final
1988-02-18 09:38:36	ga_ls5t_ard_3-0-0_098082_1988-02-18_final
1988-02-18 09:38:59	ga_ls5t_ard_3-0-0_098083_1988-02-18_final
1988-02-18 11:14:17	ga_ls5t_ard_3-0-0_114074_1988-02-18_final
1988-02-18 11:14:41	ga_ls5t_ard_3-0-0_114075_1988-02-18_final
1988-02-18 11:15:05	ga_ls5t_ard_3-0-0_114076_1988-02-18_final
1988-02-18 11:15:29	ga_ls5t_ard_3-0-0_114077_1988-02-18_final
1988-02-18 11:15:53	ga_ls5t_ard_3-0-0_114078_1988-02-18_final
1988-02-18 11:16:17	ga_ls5t_ard_3-0-0_114079_1988-02-18_final
1988-02-18 11:16:41	ga_ls5t_ard_3-0-0_114080_1988-02-18_final
1988-02-19 08:41:23	ga_ls5t_ard_3-0-0_089078_1988-02-18_final
1988-02-19 08:41:47	ga_ls5t_ard_3-0-0_089079_1988-02-18_final
1988-02-19 08:42:11	ga_ls5t_ard_3-0-0_089080_1988-02-18_final
1988-02-19 08:42:35	ga_ls5t_ard_3-0-0_089081_1988-02-18_final
1988-02-19 08:42:59	ga_ls5t_ard_3-0-0_089082_1988-02-18_final
1988-02-19 08:43:23	ga_ls5t_ard_3-0-0_089083_1988-02-18_final
1988-02-19 08:43:47	ga_ls5t_ard_3-0-0_089084_1988-02-18_final
1988-02-19 08:44:11	ga_ls5t_ard_3-0-0_089085_1988-02-18_final

Return to ga_ls5t_ard_3 across February 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

February

All days