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

67 results

Time (local)	Label
2013-08-31 10:21:21	ga_ls8c_ard_3-0-0_100077_2013-08-31_final
2013-09-12 09:09:32	ga_ls8c_ard_3-0-0_088083_2013-09-11_final
2014-05-30 10:18:53	ga_ls8c_ard_3-0-0_100077_2014-05-30_final
2014-07-05 11:30:05	ga_ls8c_ard_3-0-0_112069_2014-07-05_final
2014-10-31 09:17:16	ga_ls8c_ard_3-0-0_090076_2014-10-30_final
2014-11-09 09:10:45	ga_ls8c_ard_3-0-0_089075_2014-11-08_final
2014-11-28 09:38:25	ga_ls8c_ard_3-0-0_094067_2014-11-28_final
2015-04-07 09:28:02	ga_ls8c_ard_3-0-0_092074_2015-04-06_final
2015-07-28 09:33:51	ga_ls8c_ard_3-0-0_092088_2015-07-28_final
2015-11-27 10:10:17	ga_ls8c_ard_3-0-0_098085_2015-11-27_final
2016-01-18 09:38:19	ga_ls8c_ard_3-0-0_094067_2016-01-18_final
2016-01-29 09:21:45	ga_ls8c_ard_3-0-0_091072_2016-01-28_final
2016-04-09 09:28:17	ga_ls8c_ard_3-0-0_092074_2016-04-08_final
2016-05-11 09:27:24	ga_ls8c_ard_3-0-0_092072_2016-05-10_final
2016-09-18 09:17:20	ga_ls8c_ard_3-0-0_090076_2016-09-17_final
2016-12-21 09:28:06	ga_ls8c_ard_3-0-0_092072_2016-12-20_final
2016-12-21 09:28:54	ga_ls8c_ard_3-0-0_092074_2016-12-20_final
2016-12-22 10:13:21	ga_ls8c_ard_3-0-0_099077_2016-12-22_final
2017-01-04 09:38:26	ga_ls8c_ard_3-0-0_094067_2017-01-04_final
2017-01-21 10:22:49	ga_ls8c_ard_3-0-0_101070_2017-01-21_final
2017-03-23 09:51:01	ga_ls8c_ard_3-0-0_096069_2017-03-23_final
2017-08-16 09:38:17	ga_ls8c_ard_3-0-0_094067_2017-08-16_final
2017-09-24 09:51:47	ga_ls8c_ard_3-0-0_095085_2017-09-24_final
2017-10-05 09:26:31	ga_ls8c_ard_3-0-0_092068_2017-10-04_final
2017-12-31 09:34:12	ga_ls8c_ard_3-0-0_093072_2017-12-31_final
2018-02-19 09:21:28	ga_ls8c_ard_3-0-0_091072_2018-02-18_final
2018-04-10 09:09:53	ga_ls8c_ard_3-0-0_089075_2018-04-09_final
2018-08-24 09:56:16	ga_ls8c_ard_3-0-0_097067_2018-08-24_final
2018-10-08 09:28:27	ga_ls8c_ard_3-1-0_092074_2018-10-07_final
2018-10-10 09:16:54	ga_ls8c_ard_3-0-0_090076_2018-10-09_final
2018-11-09 09:27:48	ga_ls8c_ard_3-0-0_092072_2018-11-08_final
2019-01-10 09:38:05	ga_ls8c_ard_3-0-0_094067_2019-01-10_final
2019-04-10 11:57:17	ga_ls8c_ard_3-1-0_116076_2019-04-10_final
2019-05-17 10:33:50	ga_ls8c_ard_3-0-0_103068_2019-05-17_final
2019-07-21 09:38:12	ga_ls8c_ard_3-1-0_094067_2019-07-21_final
2019-08-24 09:28:50	ga_ls8c_ard_3-1-0_092074_2019-08-23_final
2019-09-05 11:30:53	ga_ls8c_ard_3-1-0_112070_2019-09-05_final
2020-01-24 09:21:49	ga_ls8c_ard_3-1-0_091072_2020-01-23_final
2020-02-19 10:03:58	ga_ls8c_ard_3-1-0_097085_2020-02-19_final
2020-03-10 09:33:57	ga_ls8c_ard_3-1-0_093072_2020-03-10_final
2020-04-20 09:28:13	ga_ls8c_ard_3-1-0_092074_2020-04-19_final
2020-04-21 10:13:28	ga_ls8c_ard_3-1-0_099079_2020-04-21_final
2020-06-09 09:21:04	ga_ls8c_ard_3-1-0_090087_2020-06-08_final
2020-06-25 09:21:13	ga_ls8c_ard_3-1-0_090087_2020-06-24_final
2020-07-02 09:19:52	ga_ls8c_ard_3-1-0_091068_2020-07-01_final
2020-08-26 09:25:59	ga_ls8c_ard_3-1-0_092067_2020-08-25_final
2020-09-23 11:30:09	ga_ls8c_ard_3-1-0_112068_2020-09-23_final
2020-10-01 09:07:51	ga_ls8c_ard_3-1-0_088083_2020-09-30_final
2020-10-06 09:20:25	ga_ls8c_ard_3-1-0_091068_2020-10-05_final
2020-10-22 09:22:25	ga_ls8c_ard_3-1-0_091073_2020-10-21_final
2021-02-07 09:52:06	ga_ls8c_ard_3-2-0_095086_2021-02-07_final
2021-05-31 10:33:23	ga_ls8c_ard_3-2-0_102082_2021-05-31_final
2021-07-01 09:45:54	ga_ls8c_ard_3-2-0_095071_2021-07-01_final
2021-07-15 11:37:33	ga_ls8c_ard_3-2-0_113072_2021-07-15_final
2021-09-22 11:57:41	ga_ls8c_ard_3-2-0_116075_2021-09-22_final
2022-01-14 10:02:47	ga_ls8c_ard_3-2-1_098066_2022-01-14_final
2022-01-29 09:21:49	ga_ls8c_ard_3-2-1_091072_2022-01-28_final
2022-03-02 09:22:06	ga_ls8c_ard_3-2-1_091073_2022-03-01_final
2022-09-01 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-08-31_final
2022-10-31 11:32:07	ga_ls8c_ard_3-2-1_112072_2022-10-31_final
2022-12-22 09:34:38	ga_ls8c_ard_3-2-1_092088_2022-12-22_final
2023-01-30 09:34:25	ga_ls8c_ard_3-2-1_093072_2023-01-30_final
2023-04-13 09:27:25	ga_ls8c_ard_3-2-1_092072_2023-04-12_final
2023-11-02 10:49:37	ga_ls8c_ard_3-2-1_105075_2023-11-02_final
2023-11-10 09:56:53	ga_ls8c_ard_3-2-1_097067_2023-11-10_final
2023-11-30 09:34:39	ga_ls8c_ard_3-2-1_093073_2023-11-30_final
2023-12-02 09:22:40	ga_ls8c_ard_3-2-1_091074_2023-12-01_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