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
2014-01-23 09:28:48	ga_ls8c_ard_3-0-0_091087_2014-01-22_final
2014-01-23 09:29:12	ga_ls8c_ard_3-0-0_091088_2014-01-22_final
2014-01-23 09:29:36	ga_ls8c_ard_3-0-0_091089_2014-01-22_final
2014-01-23 09:30:00	ga_ls8c_ard_3-0-0_091090_2014-01-23_final
2014-01-26 09:51:42	ga_ls8c_ard_3-0-0_096067_2014-01-26_final
2014-01-26 09:53:18	ga_ls8c_ard_3-0-0_096071_2014-01-26_final
2014-01-26 09:53:42	ga_ls8c_ard_3-0-0_096072_2014-01-26_final
2014-04-18 09:41:20	ga_ls8c_ard_3-0-0_094075_2014-04-18_final
2014-04-18 09:41:44	ga_ls8c_ard_3-0-0_094076_2014-04-18_final
2014-04-18 09:42:08	ga_ls8c_ard_3-0-0_094077_2014-04-18_final
2014-04-18 09:42:32	ga_ls8c_ard_3-0-0_094078_2014-04-18_final
2014-04-18 09:42:56	ga_ls8c_ard_3-0-0_094079_2014-04-18_final
2014-04-18 09:43:20	ga_ls8c_ard_3-0-0_094080_2014-04-18_final
2014-04-18 09:43:44	ga_ls8c_ard_3-0-0_094081_2014-04-18_final
2014-04-20 09:32:33	ga_ls8c_ard_3-0-0_092084_2014-04-20_final
2014-04-20 09:32:57	ga_ls8c_ard_3-0-0_092085_2014-04-20_final
2014-04-20 09:33:21	ga_ls8c_ard_3-0-0_092086_2014-04-20_final
2014-04-20 09:33:45	ga_ls8c_ard_3-0-0_092087_2014-04-20_final
2014-04-20 09:34:09	ga_ls8c_ard_3-0-0_092088_2014-04-20_final
2014-04-20 09:34:33	ga_ls8c_ard_3-0-0_092089_2014-04-20_final
2014-04-22 09:22:34	ga_ls8c_ard_3-0-0_090090_2014-04-21_final
2014-05-31 09:27:16	ga_ls8c_ard_3-0-0_091087_2014-05-30_final
2014-05-31 09:27:40	ga_ls8c_ard_3-0-0_091088_2014-05-30_final
2014-05-31 09:28:03	ga_ls8c_ard_3-0-0_091089_2014-05-30_final
2014-05-31 09:28:27	ga_ls8c_ard_3-0-0_091090_2014-05-30_final
2015-07-03 09:36:39	ga_ls8c_ard_3-0-0_093080_2015-07-03_final
2015-07-03 09:37:03	ga_ls8c_ard_3-0-0_093081_2015-07-03_final
2015-07-03 09:37:27	ga_ls8c_ard_3-0-0_093082_2015-07-03_final
2015-07-03 09:37:51	ga_ls8c_ard_3-0-0_093083_2015-07-03_final
2015-07-03 09:38:15	ga_ls8c_ard_3-0-0_093084_2015-07-03_final
2015-07-03 09:38:39	ga_ls8c_ard_3-0-0_093085_2015-07-03_final
2015-07-05 09:27:07	ga_ls8c_ard_3-0-0_091087_2015-07-04_final
2015-07-05 09:27:31	ga_ls8c_ard_3-0-0_091088_2015-07-04_final
2015-07-05 09:27:55	ga_ls8c_ard_3-0-0_091089_2015-07-04_final
2015-07-05 09:28:19	ga_ls8c_ard_3-0-0_091090_2015-07-04_final
2015-07-05 09:28:43	ga_ls8c_ard_3-0-0_091091_2015-07-04_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
2015-11-24 09:39:23	ga_ls8c_ard_3-0-0_093085_2015-11-24_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
2019-07-14 09:37:11	ga_ls8c_ard_3-1-0_093080_2019-07-14_final
2019-07-16 09:27:37	ga_ls8c_ard_3-1-0_091087_2019-07-15_final
2019-07-16 09:28:01	ga_ls8c_ard_3-1-0_091088_2019-07-15_final
2019-07-16 09:28:25	ga_ls8c_ard_3-1-0_091089_2019-07-15_final
2019-07-16 09:28:49	ga_ls8c_ard_3-1-0_091090_2019-07-15_final
2019-07-16 09:29:13	ga_ls8c_ard_3-1-0_091091_2019-07-15_final
2019-11-21 09:27:59	ga_ls8c_ard_3-1-0_091087_2019-11-20_final
2019-11-21 09:28:23	ga_ls8c_ard_3-1-0_091088_2019-11-20_final
2019-11-21 09:28:47	ga_ls8c_ard_3-1-0_091089_2019-11-20_final
2019-11-21 09:29:11	ga_ls8c_ard_3-1-0_091090_2019-11-20_final
2019-11-21 09:29:35	ga_ls8c_ard_3-1-0_091091_2019-11-20_final
2021-12-26 09:37:31	ga_ls8c_ard_3-2-1_093080_2021-12-26_final
2021-12-26 09:37:55	ga_ls8c_ard_3-2-1_093081_2021-12-26_final
2021-12-26 09:38:19	ga_ls8c_ard_3-2-1_093082_2021-12-26_final
2021-12-26 09:38:43	ga_ls8c_ard_3-2-1_093083_2021-12-26_final
2021-12-26 09:39:07	ga_ls8c_ard_3-2-1_093084_2021-12-26_final
2021-12-26 09:39:31	ga_ls8c_ard_3-2-1_093085_2021-12-26_final
2021-12-28 09:27:56	ga_ls8c_ard_3-2-1_091087_2021-12-27_final
2021-12-28 09:28:20	ga_ls8c_ard_3-2-1_091088_2021-12-27_final
2021-12-28 09:28:44	ga_ls8c_ard_3-2-1_091089_2021-12-27_final
2021-12-28 09:29:08	ga_ls8c_ard_3-2-1_091090_2021-12-27_final
2021-12-31 09:52:02	ga_ls8c_ard_3-2-1_096070_2021-12-31_final
2021-12-31 09:52:26	ga_ls8c_ard_3-2-1_096071_2021-12-31_final
2021-12-31 09:52:50	ga_ls8c_ard_3-2-1_096072_2021-12-31_final
2022-01-02 09:41:40	ga_ls8c_ard_3-2-1_094075_2022-01-02_final
2022-01-02 09:42:04	ga_ls8c_ard_3-2-1_094076_2022-01-02_final
2022-01-02 09:42:28	ga_ls8c_ard_3-2-1_094077_2022-01-02_final
2022-01-02 09:42:52	ga_ls8c_ard_3-2-1_094078_2022-01-02_final
2022-01-02 09:43:16	ga_ls8c_ard_3-2-1_094079_2022-01-02_final
2022-01-06 09:22:56	ga_ls8c_ard_3-2-1_090090_2022-01-05_final
2022-01-06 09:23:20	ga_ls8c_ard_3-2-1_090091_2022-01-05_final
2022-01-07 09:57:01	ga_ls8c_ard_3-2-1_097067_2022-01-07_final
2022-01-09 09:46:15	ga_ls8c_ard_3-2-1_095071_2022-01-09_final
2022-01-09 09:46:39	ga_ls8c_ard_3-2-1_095072_2022-01-09_final
2022-01-09 09:47:02	ga_ls8c_ard_3-2-1_095073_2022-01-09_final
2022-01-09 09:47:26	ga_ls8c_ard_3-2-1_095074_2022-01-09_final
2022-01-09 09:47:50	ga_ls8c_ard_3-2-1_095075_2022-01-09_final
2022-01-09 09:48:14	ga_ls8c_ard_3-2-1_095076_2022-01-09_final
2022-01-18 09:41:38	ga_ls8c_ard_3-2-1_094075_2022-01-18_final
2022-01-18 09:42:02	ga_ls8c_ard_3-2-1_094076_2022-01-18_final
2022-01-18 09:42:26	ga_ls8c_ard_3-2-1_094077_2022-01-18_final
2022-01-18 09:42:49	ga_ls8c_ard_3-2-1_094078_2022-01-18_final
2022-01-18 09:43:13	ga_ls8c_ard_3-2-1_094079_2022-01-18_final
2022-01-18 09:43:37	ga_ls8c_ard_3-2-1_094080_2022-01-18_final
2022-01-18 09:44:01	ga_ls8c_ard_3-2-1_094081_2022-01-18_final
2022-01-20 09:32:27	ga_ls8c_ard_3-2-1_092083_2022-01-20_final
2022-01-20 09:32:51	ga_ls8c_ard_3-2-1_092084_2022-01-20_final
2022-01-20 09:33:15	ga_ls8c_ard_3-2-1_092085_2022-01-20_final
2022-01-20 09:33:39	ga_ls8c_ard_3-2-1_092086_2022-01-20_final
2022-01-20 09:34:03	ga_ls8c_ard_3-2-1_092087_2022-01-20_final
2022-01-20 09:34:27	ga_ls8c_ard_3-2-1_092088_2022-01-20_final
2022-01-20 09:34:51	ga_ls8c_ard_3-2-1_092089_2022-01-20_final
2022-01-22 09:22:52	ga_ls8c_ard_3-2-1_090090_2022-01-21_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