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
2015-07-08 09:50:04	ga_ls8c_ard_3-0-0_096067_2015-07-08_final
2015-07-08 09:50:28	ga_ls8c_ard_3-0-0_096068_2015-07-08_final
2015-07-08 09:50:52	ga_ls8c_ard_3-0-0_096069_2015-07-08_final
2015-07-08 09:51:16	ga_ls8c_ard_3-0-0_096070_2015-07-08_final
2015-07-08 09:51:40	ga_ls8c_ard_3-0-0_096071_2015-07-08_final
2015-08-09 09:50:14	ga_ls8c_ard_3-0-0_096067_2015-08-09_final
2015-08-09 09:50:38	ga_ls8c_ard_3-0-0_096068_2015-08-09_final
2015-08-09 09:51:02	ga_ls8c_ard_3-0-0_096069_2015-08-09_final
2015-08-09 09:51:26	ga_ls8c_ard_3-0-0_096070_2015-08-09_final
2015-08-09 09:51:50	ga_ls8c_ard_3-0-0_096071_2015-08-09_final
2015-08-25 09:50:22	ga_ls8c_ard_3-0-0_096067_2015-08-25_final
2015-08-25 09:50:46	ga_ls8c_ard_3-0-0_096068_2015-08-25_final
2015-08-25 09:51:10	ga_ls8c_ard_3-0-0_096069_2015-08-25_final
2015-08-25 09:51:34	ga_ls8c_ard_3-0-0_096070_2015-08-25_final
2015-08-25 09:51:58	ga_ls8c_ard_3-0-0_096071_2015-08-25_final
2015-11-06 09:45:43	ga_ls8c_ard_3-0-0_095070_2015-11-06_final
2015-11-06 09:46:07	ga_ls8c_ard_3-0-0_095071_2015-11-06_final
2015-11-24 09:36:59	ga_ls8c_ard_3-0-0_093079_2015-11-24_final
2015-11-24 09:37:23	ga_ls8c_ard_3-0-0_093080_2015-11-24_final
2015-11-24 09:37:47	ga_ls8c_ard_3-0-0_093081_2015-11-24_final
2015-11-24 09:38:11	ga_ls8c_ard_3-0-0_093082_2015-11-24_final
2015-11-24 09:38:35	ga_ls8c_ard_3-0-0_093083_2015-11-24_final
2015-11-24 09:38:59	ga_ls8c_ard_3-0-0_093084_2015-11-24_final
2015-11-26 09:27:25	ga_ls8c_ard_3-0-0_091086_2015-11-25_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-11-26 09:28:13	ga_ls8c_ard_3-0-0_091088_2015-11-25_final
2015-11-26 09:28:37	ga_ls8c_ard_3-0-0_091089_2015-11-25_final
2015-11-26 09:29:01	ga_ls8c_ard_3-0-0_091090_2015-11-25_final
2015-11-26 09:29:25	ga_ls8c_ard_3-0-0_091091_2015-11-25_final
2015-11-29 09:50:44	ga_ls8c_ard_3-0-0_096067_2015-11-29_final
2015-11-29 09:51:08	ga_ls8c_ard_3-0-0_096068_2015-11-29_final
2015-11-29 09:51:32	ga_ls8c_ard_3-0-0_096069_2015-11-29_final
2015-11-29 09:51:56	ga_ls8c_ard_3-0-0_096070_2015-11-29_final
2015-11-29 09:52:20	ga_ls8c_ard_3-0-0_096071_2015-11-29_final
2017-03-23 09:50:13	ga_ls8c_ard_3-0-0_096067_2017-03-23_final
2017-03-23 09:50:37	ga_ls8c_ard_3-0-0_096068_2017-03-23_final
2017-03-23 09:51:01	ga_ls8c_ard_3-0-0_096069_2017-03-23_final
2017-03-23 09:51:25	ga_ls8c_ard_3-0-0_096070_2017-03-23_final
2017-03-23 09:51:49	ga_ls8c_ard_3-0-0_096071_2017-03-23_final
2017-03-25 09:41:02	ga_ls8c_ard_3-0-0_094075_2017-03-25_final
2017-03-25 09:41:26	ga_ls8c_ard_3-0-0_094076_2017-03-25_final
2017-03-25 09:41:50	ga_ls8c_ard_3-0-0_094077_2017-03-25_final
2017-03-25 09:42:14	ga_ls8c_ard_3-0-0_094078_2017-03-25_final
2017-03-25 09:42:38	ga_ls8c_ard_3-0-0_094079_2017-03-25_final
2017-03-25 09:43:02	ga_ls8c_ard_3-0-0_094080_2017-03-25_final
2017-03-27 09:31:52	ga_ls8c_ard_3-0-0_092083_2017-03-27_final
2017-03-27 09:32:15	ga_ls8c_ard_3-0-0_092084_2017-03-27_final
2017-03-27 09:32:39	ga_ls8c_ard_3-0-0_092085_2017-03-27_final
2017-03-27 09:33:03	ga_ls8c_ard_3-0-0_092086_2017-03-27_final
2017-03-27 09:33:27	ga_ls8c_ard_3-0-0_092087_2017-03-27_final
2017-03-27 09:33:51	ga_ls8c_ard_3-0-0_092088_2017-03-27_final
2017-03-29 09:22:17	ga_ls8c_ard_3-0-0_090090_2017-03-28_final
2017-03-29 09:22:41	ga_ls8c_ard_3-0-0_090091_2017-03-28_final
2017-04-17 09:45:03	ga_ls8c_ard_3-0-0_095070_2017-04-17_final
2017-04-17 09:45:26	ga_ls8c_ard_3-0-0_095071_2017-04-17_final
2017-04-17 09:45:50	ga_ls8c_ard_3-0-0_095072_2017-04-17_final
2017-04-17 09:46:14	ga_ls8c_ard_3-0-0_095073_2017-04-17_final
2017-04-17 09:46:38	ga_ls8c_ard_3-0-0_095074_2017-04-17_final
2017-04-17 09:47:02	ga_ls8c_ard_3-0-0_095075_2017-04-17_final
2017-04-17 09:47:26	ga_ls8c_ard_3-0-0_095076_2017-04-17_final
2017-04-30 09:21:59	ga_ls8c_ard_3-0-0_090090_2017-04-29_final
2017-04-30 09:22:23	ga_ls8c_ard_3-0-0_090091_2017-04-29_final
2017-05-03 09:44:53	ga_ls8c_ard_3-0-0_095070_2017-05-03_final
2017-05-03 09:45:17	ga_ls8c_ard_3-0-0_095071_2017-05-03_final
2017-05-03 09:45:41	ga_ls8c_ard_3-0-0_095072_2017-05-03_final
2017-05-03 09:46:04	ga_ls8c_ard_3-0-0_095073_2017-05-03_final
2017-05-03 09:46:28	ga_ls8c_ard_3-0-0_095074_2017-05-03_final
2017-05-03 09:46:52	ga_ls8c_ard_3-0-0_095075_2017-05-03_final
2017-05-03 09:47:16	ga_ls8c_ard_3-0-0_095076_2017-05-03_final
2017-05-12 09:40:49	ga_ls8c_ard_3-0-0_094075_2017-05-12_final
2017-05-12 09:41:13	ga_ls8c_ard_3-0-0_094076_2017-05-12_final
2017-05-12 09:41:37	ga_ls8c_ard_3-0-0_094077_2017-05-12_final
2017-05-12 09:42:01	ga_ls8c_ard_3-0-0_094078_2017-05-12_final
2017-05-12 09:42:24	ga_ls8c_ard_3-0-0_094079_2017-05-12_final
2017-05-12 09:42:48	ga_ls8c_ard_3-0-0_094080_2017-05-12_final
2017-05-14 09:31:40	ga_ls8c_ard_3-0-0_092083_2017-05-14_final
2017-05-14 09:32:04	ga_ls8c_ard_3-0-0_092084_2017-05-14_final
2017-05-14 09:32:28	ga_ls8c_ard_3-0-0_092085_2017-05-14_final
2017-05-14 09:32:52	ga_ls8c_ard_3-0-0_092086_2017-05-14_final
2017-05-14 09:33:16	ga_ls8c_ard_3-0-0_092087_2017-05-14_final
2017-05-14 09:33:40	ga_ls8c_ard_3-0-0_092088_2017-05-14_final
2017-05-16 09:22:08	ga_ls8c_ard_3-0-0_090090_2017-05-15_final
2017-05-16 09:22:32	ga_ls8c_ard_3-0-0_090091_2017-05-15_final
2017-06-17 09:22:24	ga_ls8c_ard_3-0-0_090090_2017-06-16_final
2017-06-17 09:22:48	ga_ls8c_ard_3-0-0_090091_2017-06-16_final
2017-06-20 09:45:20	ga_ls8c_ard_3-0-0_095070_2017-06-20_final
2017-06-20 09:45:44	ga_ls8c_ard_3-0-0_095071_2017-06-20_final
2017-06-20 09:46:08	ga_ls8c_ard_3-0-0_095072_2017-06-20_final
2017-06-20 09:46:32	ga_ls8c_ard_3-0-0_095073_2017-06-20_final
2017-06-20 09:46:56	ga_ls8c_ard_3-0-0_095074_2017-06-20_final
2017-06-20 09:47:20	ga_ls8c_ard_3-0-0_095075_2017-06-20_final
2017-06-20 09:47:44	ga_ls8c_ard_3-0-0_095076_2017-06-20_final
2017-07-03 09:22:28	ga_ls8c_ard_3-0-0_090090_2017-07-02_final
2017-07-03 09:22:52	ga_ls8c_ard_3-0-0_090091_2017-07-02_final
2017-08-23 09:45:41	ga_ls8c_ard_3-0-0_095070_2017-08-23_final
2017-08-23 09:46:05	ga_ls8c_ard_3-0-0_095071_2017-08-23_final
2017-08-23 09:46:29	ga_ls8c_ard_3-0-0_095072_2017-08-23_final
2017-08-23 09:46:53	ga_ls8c_ard_3-0-0_095073_2017-08-23_final
2017-08-23 09:47:17	ga_ls8c_ard_3-0-0_095074_2017-08-23_final
2017-08-23 09:47:41	ga_ls8c_ard_3-0-0_095075_2017-08-23_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years