Search ga_ls8c_ard_3 across 2017

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
2017-03-01 10:27:32	ga_ls8c_ard_3-0-0_102067_2017-03-01_final
2017-03-01 10:28:19	ga_ls8c_ard_3-0-0_102069_2017-03-01_final
2017-03-01 10:28:43	ga_ls8c_ard_3-0-0_102070_2017-03-01_final
2017-03-01 10:30:19	ga_ls8c_ard_3-0-0_102074_2017-03-01_final
2017-03-01 10:32:19	ga_ls8c_ard_3-0-0_102079_2017-03-01_final
2017-03-01 10:32:43	ga_ls8c_ard_3-0-0_102080_2017-03-01_final
2017-03-02 11:10:47	ga_ls8c_ard_3-0-0_109067_2017-03-02_final
2017-03-02 11:11:11	ga_ls8c_ard_3-0-0_109068_2017-03-02_final
2017-03-02 11:11:59	ga_ls8c_ard_3-0-0_109070_2017-03-02_final
2017-03-02 11:12:46	ga_ls8c_ard_3-0-0_109072_2017-03-02_final
2017-03-02 11:13:10	ga_ls8c_ard_3-0-0_109073_2017-03-02_final
2017-03-02 11:13:34	ga_ls8c_ard_3-0-0_109074_2017-03-02_final
2017-03-02 11:13:58	ga_ls8c_ard_3-0-0_109075_2017-03-02_final
2017-03-02 11:14:46	ga_ls8c_ard_3-0-0_109077_2017-03-02_final
2017-03-02 11:15:10	ga_ls8c_ard_3-0-0_109078_2017-03-02_final
2017-03-02 11:15:34	ga_ls8c_ard_3-0-0_109079_2017-03-02_final
2017-03-02 11:15:58	ga_ls8c_ard_3-0-0_109080_2017-03-02_final
2017-03-16 09:44:07	ga_ls8c_ard_3-0-0_095067_2017-03-16_final
2017-03-16 09:45:19	ga_ls8c_ard_3-0-0_095070_2017-03-16_final
2017-03-16 09:45:43	ga_ls8c_ard_3-0-0_095071_2017-03-16_final
2017-03-16 09:46:07	ga_ls8c_ard_3-0-0_095072_2017-03-16_final
2017-03-16 09:46:31	ga_ls8c_ard_3-0-0_095073_2017-03-16_final
2017-03-16 09:46:55	ga_ls8c_ard_3-0-0_095074_2017-03-16_final
2017-03-16 09:47:19	ga_ls8c_ard_3-0-0_095075_2017-03-16_final
2017-03-16 09:47:43	ga_ls8c_ard_3-0-0_095076_2017-03-16_final
2017-03-16 09:48:07	ga_ls8c_ard_3-0-0_095077_2017-03-16_final
2017-03-16 09:48:31	ga_ls8c_ard_3-0-0_095078_2017-03-16_final
2017-03-16 09:48:55	ga_ls8c_ard_3-0-0_095079_2017-03-16_final
2017-03-16 09:49:19	ga_ls8c_ard_3-0-0_095080_2017-03-16_final
2017-03-16 09:49:42	ga_ls8c_ard_3-0-0_095081_2017-03-16_final
2017-03-16 09:50:06	ga_ls8c_ard_3-0-0_095082_2017-03-16_final
2017-03-16 09:50:30	ga_ls8c_ard_3-0-0_095083_2017-03-16_final
2017-03-16 09:50:54	ga_ls8c_ard_3-0-0_095084_2017-03-16_final
2017-03-16 09:51:18	ga_ls8c_ard_3-0-0_095085_2017-03-16_final
2017-03-16 09:51:42	ga_ls8c_ard_3-0-0_095086_2017-03-16_final
2017-03-16 09:52:06	ga_ls8c_ard_3-0-0_095087_2017-03-16_final
2017-03-16 09:52:30	ga_ls8c_ard_3-0-0_095088_2017-03-16_final
2017-03-16 11:23:00	ga_ls8c_ard_3-0-0_111067_2017-03-16_final
2017-03-16 11:23:24	ga_ls8c_ard_3-0-0_111068_2017-03-16_final
2017-03-16 11:23:48	ga_ls8c_ard_3-0-0_111069_2017-03-16_final
2017-03-16 11:24:12	ga_ls8c_ard_3-0-0_111070_2017-03-16_final
2017-03-16 11:24:36	ga_ls8c_ard_3-0-0_111071_2017-03-16_final
2017-03-16 11:25:00	ga_ls8c_ard_3-0-0_111072_2017-03-16_final
2017-03-16 11:25:24	ga_ls8c_ard_3-0-0_111073_2017-03-16_final
2017-03-16 11:25:48	ga_ls8c_ard_3-0-0_111074_2017-03-16_final
2017-03-16 11:26:12	ga_ls8c_ard_3-0-0_111075_2017-03-16_final
2017-03-16 11:26:36	ga_ls8c_ard_3-0-0_111076_2017-03-16_final
2017-03-16 11:27:00	ga_ls8c_ard_3-0-0_111077_2017-03-16_final
2017-03-16 11:27:24	ga_ls8c_ard_3-0-0_111078_2017-03-16_final
2017-03-16 11:27:48	ga_ls8c_ard_3-0-0_111079_2017-03-16_final
2017-03-16 11:28:12	ga_ls8c_ard_3-0-0_111080_2017-03-16_final
2017-03-16 11:28:35	ga_ls8c_ard_3-0-0_111081_2017-03-16_final
2017-03-16 11:28:59	ga_ls8c_ard_3-0-0_111082_2017-03-16_final
2017-03-16 11:29:23	ga_ls8c_ard_3-0-0_111083_2017-03-16_final
2017-03-16 11:29:47	ga_ls8c_ard_3-0-0_111084_2017-03-16_final
2017-03-16 11:30:11	ga_ls8c_ard_3-0-0_111085_2017-03-16_final
2017-03-17 10:27:22	ga_ls8c_ard_3-0-0_102067_2017-03-17_final
2017-03-17 10:27:46	ga_ls8c_ard_3-0-0_102068_2017-03-17_final
2017-03-17 10:28:10	ga_ls8c_ard_3-0-0_102069_2017-03-17_final
2017-03-17 10:28:34	ga_ls8c_ard_3-0-0_102070_2017-03-17_final
2017-03-17 10:28:58	ga_ls8c_ard_3-0-0_102071_2017-03-17_final
2017-03-17 10:29:22	ga_ls8c_ard_3-0-0_102072_2017-03-17_final
2017-03-17 10:29:46	ga_ls8c_ard_3-0-0_102073_2017-03-17_final
2017-03-17 10:30:10	ga_ls8c_ard_3-0-0_102074_2017-03-17_final
2017-03-17 10:30:34	ga_ls8c_ard_3-0-0_102075_2017-03-17_final
2017-03-17 10:30:58	ga_ls8c_ard_3-0-0_102076_2017-03-17_final
2017-03-17 10:31:22	ga_ls8c_ard_3-0-0_102077_2017-03-17_final
2017-03-17 10:31:46	ga_ls8c_ard_3-0-0_102078_2017-03-17_final
2017-03-17 10:32:10	ga_ls8c_ard_3-0-0_102079_2017-03-17_final
2017-03-17 10:32:34	ga_ls8c_ard_3-0-0_102080_2017-03-17_final
2017-03-17 10:32:57	ga_ls8c_ard_3-0-0_102081_2017-03-17_final
2017-03-17 10:33:21	ga_ls8c_ard_3-0-0_102082_2017-03-17_final
2017-03-17 10:33:45	ga_ls8c_ard_3-0-0_102083_2017-03-17_final
2017-03-18 09:31:44	ga_ls8c_ard_3-0-0_093067_2017-03-18_final
2017-03-18 09:32:08	ga_ls8c_ard_3-0-0_093068_2017-03-18_final
2017-03-18 09:33:20	ga_ls8c_ard_3-0-0_093071_2017-03-18_final
2017-03-18 09:33:44	ga_ls8c_ard_3-0-0_093072_2017-03-18_final
2017-03-18 09:34:08	ga_ls8c_ard_3-0-0_093073_2017-03-18_final
2017-03-18 09:34:32	ga_ls8c_ard_3-0-0_093074_2017-03-18_final
2017-03-18 09:34:56	ga_ls8c_ard_3-0-0_093075_2017-03-18_final
2017-03-18 09:35:20	ga_ls8c_ard_3-0-0_093076_2017-03-18_final
2017-03-18 09:35:44	ga_ls8c_ard_3-0-0_093077_2017-03-18_final
2017-03-18 09:36:08	ga_ls8c_ard_3-0-0_093078_2017-03-18_final
2017-03-18 09:36:32	ga_ls8c_ard_3-0-0_093079_2017-03-18_final
2017-03-18 09:36:56	ga_ls8c_ard_3-0-0_093080_2017-03-18_final
2017-03-18 09:37:20	ga_ls8c_ard_3-0-0_093081_2017-03-18_final
2017-03-18 09:37:43	ga_ls8c_ard_3-0-0_093082_2017-03-18_final
2017-03-18 09:38:07	ga_ls8c_ard_3-0-0_093083_2017-03-18_final
2017-03-18 09:38:31	ga_ls8c_ard_3-0-0_093084_2017-03-18_final
2017-03-18 09:38:55	ga_ls8c_ard_3-0-0_093085_2017-03-18_final
2017-03-18 09:39:19	ga_ls8c_ard_3-0-0_093086_2017-03-18_final
2017-03-18 09:39:43	ga_ls8c_ard_3-0-0_093087_2017-03-18_final
2017-03-18 09:40:07	ga_ls8c_ard_3-0-0_093088_2017-03-18_final
2017-03-18 11:10:37	ga_ls8c_ard_3-0-0_109067_2017-03-18_final
2017-03-18 11:11:01	ga_ls8c_ard_3-0-0_109068_2017-03-18_final
2017-03-18 11:11:25	ga_ls8c_ard_3-0-0_109069_2017-03-18_final
2017-03-18 11:11:49	ga_ls8c_ard_3-0-0_109070_2017-03-18_final
2017-03-18 11:12:13	ga_ls8c_ard_3-0-0_109071_2017-03-18_final
2017-03-18 11:12:37	ga_ls8c_ard_3-0-0_109072_2017-03-18_final
2017-03-18 11:13:01	ga_ls8c_ard_3-0-0_109073_2017-03-18_final

Return to ga_ls8c_ard_3 across 2017 overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2017

All months