Search ga_ls8c_ard_3 whole collection

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
2020-08-11 11:53:11	ga_ls8c_ard_3-1-0_115080_2020-08-11_final
2020-08-13 11:35:39	ga_ls8c_ard_3-1-0_113067_2020-08-13_final
2020-08-13 11:37:38	ga_ls8c_ard_3-1-0_113072_2020-08-13_final
2020-08-15 09:48:00	ga_ls8c_ard_3-1-0_095076_2020-08-15_final
2020-08-15 09:49:36	ga_ls8c_ard_3-1-0_095080_2020-08-15_final
2020-08-15 09:50:00	ga_ls8c_ard_3-1-0_095081_2020-08-15_final
2020-08-15 09:52:00	ga_ls8c_ard_3-1-0_095086_2020-08-15_final
2020-08-15 09:52:48	ga_ls8c_ard_3-1-0_095088_2020-08-15_final
2020-08-15 11:23:18	ga_ls8c_ard_3-1-0_111067_2020-08-15_final
2020-08-15 11:23:42	ga_ls8c_ard_3-1-0_111068_2020-08-15_final
2020-08-15 11:24:06	ga_ls8c_ard_3-1-0_111069_2020-08-15_final
2020-08-15 11:24:30	ga_ls8c_ard_3-1-0_111070_2020-08-15_final
2020-08-15 11:24:54	ga_ls8c_ard_3-1-0_111071_2020-08-15_final
2020-08-15 11:25:18	ga_ls8c_ard_3-1-0_111072_2020-08-15_final
2020-08-15 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-08-15_final
2020-08-15 11:26:06	ga_ls8c_ard_3-1-0_111074_2020-08-15_final
2020-08-15 11:26:30	ga_ls8c_ard_3-1-0_111075_2020-08-15_final
2020-08-15 11:27:17	ga_ls8c_ard_3-1-0_111077_2020-08-15_final
2020-08-15 11:27:41	ga_ls8c_ard_3-1-0_111078_2020-08-15_final
2020-08-15 11:28:05	ga_ls8c_ard_3-1-0_111079_2020-08-15_final
2020-08-15 11:28:53	ga_ls8c_ard_3-1-0_111081_2020-08-15_final
2020-08-15 11:30:29	ga_ls8c_ard_3-1-0_111085_2020-08-15_final
2020-08-17 11:11:45	ga_ls8c_ard_3-1-0_109069_2020-08-17_final
2020-08-17 11:12:09	ga_ls8c_ard_3-1-0_109070_2020-08-17_final
2020-08-17 11:12:33	ga_ls8c_ard_3-1-0_109071_2020-08-17_final
2020-08-17 11:13:21	ga_ls8c_ard_3-1-0_109073_2020-08-17_final
2020-08-17 11:14:09	ga_ls8c_ard_3-1-0_109075_2020-08-17_final
2020-08-17 11:14:33	ga_ls8c_ard_3-1-0_109076_2020-08-17_final
2020-08-17 11:14:57	ga_ls8c_ard_3-1-0_109077_2020-08-17_final
2020-08-17 11:15:21	ga_ls8c_ard_3-1-0_109078_2020-08-17_final
2020-08-17 11:15:45	ga_ls8c_ard_3-1-0_109079_2020-08-17_final
2020-08-17 11:16:09	ga_ls8c_ard_3-1-0_109080_2020-08-17_final
2020-08-17 11:16:33	ga_ls8c_ard_3-1-0_109081_2020-08-17_final
2020-08-17 11:16:57	ga_ls8c_ard_3-1-0_109082_2020-08-17_final
2020-08-17 11:17:45	ga_ls8c_ard_3-1-0_109084_2020-08-17_final
2020-08-17 11:18:09	ga_ls8c_ard_3-1-0_109085_2020-08-17_final
2020-08-18 11:57:01	ga_ls8c_ard_3-1-0_116074_2020-08-18_final
2020-08-18 11:57:25	ga_ls8c_ard_3-1-0_116075_2020-08-18_final
2020-08-18 11:57:49	ga_ls8c_ard_3-1-0_116076_2020-08-18_final
2020-08-18 11:58:13	ga_ls8c_ard_3-1-0_116077_2020-08-18_final
2020-08-18 11:58:37	ga_ls8c_ard_3-1-0_116078_2020-08-18_final
2020-08-22 11:29:33	ga_ls8c_ard_3-1-0_112067_2020-08-22_final
2020-08-22 11:29:57	ga_ls8c_ard_3-1-0_112068_2020-08-22_final
2020-08-22 11:30:21	ga_ls8c_ard_3-1-0_112069_2020-08-22_final
2020-08-22 11:30:45	ga_ls8c_ard_3-1-0_112070_2020-08-22_final
2020-08-22 11:31:32	ga_ls8c_ard_3-1-0_112072_2020-08-22_final
2020-08-22 11:32:20	ga_ls8c_ard_3-1-0_112074_2020-08-22_final
2020-08-22 11:32:44	ga_ls8c_ard_3-1-0_112075_2020-08-22_final
2020-08-22 11:35:08	ga_ls8c_ard_3-1-0_112081_2020-08-22_final
2020-08-22 11:35:32	ga_ls8c_ard_3-1-0_112082_2020-08-22_final
2020-08-22 11:35:56	ga_ls8c_ard_3-1-0_112083_2020-08-22_final
2020-08-22 11:36:20	ga_ls8c_ard_3-1-0_112084_2020-08-22_final
2020-08-22 11:36:44	ga_ls8c_ard_3-1-0_112085_2020-08-22_final
2020-08-24 09:38:19	ga_ls8c_ard_3-1-0_094067_2020-08-24_final
2020-08-24 09:39:55	ga_ls8c_ard_3-1-0_094071_2020-08-24_final
2020-08-24 09:40:19	ga_ls8c_ard_3-1-0_094072_2020-08-24_final
2020-08-24 11:18:48	ga_ls8c_ard_3-1-0_110071_2020-08-24_final
2020-08-24 11:19:36	ga_ls8c_ard_3-1-0_110073_2020-08-24_final
2020-08-24 11:20:24	ga_ls8c_ard_3-1-0_110075_2020-08-24_final
2020-08-24 11:20:48	ga_ls8c_ard_3-1-0_110076_2020-08-24_final
2020-08-24 11:21:12	ga_ls8c_ard_3-1-0_110077_2020-08-24_final
2020-08-24 11:21:59	ga_ls8c_ard_3-1-0_110079_2020-08-24_final
2020-08-24 11:22:23	ga_ls8c_ard_3-1-0_110080_2020-08-24_final
2020-08-24 11:23:11	ga_ls8c_ard_3-1-0_110082_2020-08-24_final
2020-08-24 11:23:35	ga_ls8c_ard_3-1-0_110083_2020-08-24_final
2020-08-24 11:23:59	ga_ls8c_ard_3-1-0_110084_2020-08-24_final
2020-08-24 11:24:23	ga_ls8c_ard_3-1-0_110085_2020-08-24_final
2020-08-29 11:35:47	ga_ls8c_ard_3-1-0_113067_2020-08-29_final
2020-08-29 11:37:47	ga_ls8c_ard_3-1-0_113072_2020-08-29_final
2020-08-31 09:47:45	ga_ls8c_ard_3-1-0_095075_2020-08-31_final
2020-08-31 09:48:57	ga_ls8c_ard_3-1-0_095078_2020-08-31_final
2020-08-31 09:50:09	ga_ls8c_ard_3-1-0_095081_2020-08-31_final
2020-08-31 09:50:56	ga_ls8c_ard_3-1-0_095083_2020-08-31_final
2020-08-31 09:51:20	ga_ls8c_ard_3-1-0_095084_2020-08-31_final
2020-08-31 09:51:44	ga_ls8c_ard_3-1-0_095085_2020-08-31_final
2020-08-31 11:23:26	ga_ls8c_ard_3-1-0_111067_2020-08-31_final
2020-08-31 11:23:50	ga_ls8c_ard_3-1-0_111068_2020-08-31_final
2020-08-31 11:24:14	ga_ls8c_ard_3-1-0_111069_2020-08-31_final
2020-08-31 11:24:38	ga_ls8c_ard_3-1-0_111070_2020-08-31_final
2020-08-31 11:25:26	ga_ls8c_ard_3-1-0_111072_2020-08-31_final
2020-08-31 11:25:50	ga_ls8c_ard_3-1-0_111073_2020-08-31_final
2020-08-31 11:26:14	ga_ls8c_ard_3-1-0_111074_2020-08-31_final
2020-08-31 11:26:38	ga_ls8c_ard_3-1-0_111075_2020-08-31_final
2020-08-31 11:27:02	ga_ls8c_ard_3-1-0_111076_2020-08-31_final
2020-08-31 11:28:14	ga_ls8c_ard_3-1-0_111079_2020-08-31_final
2020-08-31 11:29:02	ga_ls8c_ard_3-1-0_111081_2020-08-31_final
2020-08-31 11:29:26	ga_ls8c_ard_3-1-0_111082_2020-08-31_final
2020-09-02 11:11:30	ga_ls8c_ard_3-1-0_109068_2020-09-02_final
2020-09-02 11:11:54	ga_ls8c_ard_3-1-0_109069_2020-09-02_final
2020-09-02 11:12:17	ga_ls8c_ard_3-1-0_109070_2020-09-02_final
2020-09-02 11:13:05	ga_ls8c_ard_3-1-0_109072_2020-09-02_final
2020-09-02 11:13:53	ga_ls8c_ard_3-1-0_109074_2020-09-02_final
2020-09-02 11:14:41	ga_ls8c_ard_3-1-0_109076_2020-09-02_final
2020-09-02 11:15:05	ga_ls8c_ard_3-1-0_109077_2020-09-02_final
2020-09-02 11:15:29	ga_ls8c_ard_3-1-0_109078_2020-09-02_final
2020-09-02 11:15:53	ga_ls8c_ard_3-1-0_109079_2020-09-02_final
2020-09-02 11:17:05	ga_ls8c_ard_3-1-0_109082_2020-09-02_final
2020-09-02 11:17:53	ga_ls8c_ard_3-1-0_109084_2020-09-02_final
2020-09-03 11:57:33	ga_ls8c_ard_3-1-0_116075_2020-09-03_final
2020-09-03 11:58:21	ga_ls8c_ard_3-1-0_116077_2020-09-03_final

Return to ga_ls8c_ard_3 whole collection overview

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

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years