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
2013-05-20 10:15:56	ga_ls8c_ard_3-0-0_099079_2013-05-20_final
2013-06-09 09:54:01	ga_ls8c_ard_3-0-0_095086_2013-06-09_final
2013-09-29 11:31:33	ga_ls8c_ard_3-0-0_111083_2013-09-29_final
2013-10-19 11:05:11	ga_ls8c_ard_3-0-0_107079_2013-10-19_final
2013-11-03 10:18:39	ga_ls8c_ard_3-0-0_100071_2013-11-03_final
2014-02-16 10:16:45	ga_ls8c_ard_3-0-0_099084_2014-02-16_final
2014-05-27 09:45:09	ga_ls8c_ard_3-0-0_095070_2014-05-27_final
2014-06-16 09:28:11	ga_ls8c_ard_3-0-0_091089_2014-06-15_final
2015-10-25 09:23:22	ga_ls8c_ard_3-0-0_091076_2015-10-24_final
2016-01-25 11:28:57	ga_ls8c_ard_3-0-0_111081_2016-01-25_final
2016-03-02 10:03:38	ga_ls8c_ard_3-0-0_098069_2016-03-02_final
2016-05-07 09:57:46	ga_ls8c_ard_3-0-0_096086_2016-05-07_final
2016-05-31 09:06:47	ga_ls8c_ard_3-0-0_088082_2016-05-30_final
2016-06-28 09:34:28	ga_ls8c_ard_3-0-0_092089_2016-06-28_final
2016-08-15 11:08:24	ga_ls8c_ard_3-0-0_108076_2016-08-15_final
2016-09-04 09:07:20	ga_ls8c_ard_3-0-0_088082_2016-09-03_final
2016-09-16 09:32:53	ga_ls8c_ard_3-0-0_092084_2016-09-16_final
2016-09-16 09:33:41	ga_ls8c_ard_3-0-0_092086_2016-09-16_final
2017-01-23 10:10:50	ga_ls8c_ard_3-0-0_099071_2017-01-23_final
2017-01-24 09:16:48	ga_ls8c_ard_3-0-0_090075_2017-01-23_final
2017-06-08 09:28:31	ga_ls8c_ard_3-0-0_091090_2017-06-07_final
2017-07-10 09:22:17	ga_ls8c_ard_3-0-0_091074_2017-07-09_final
2017-11-11 11:24:45	ga_ls8c_ard_3-0-0_111070_2017-11-11_final
2017-11-29 09:40:35	ga_ls8c_ard_3-0-0_093088_2017-11-29_final
2017-11-30 10:21:50	ga_ls8c_ard_3-0-0_100083_2017-11-30_final
2018-04-08 09:27:27	ga_ls8c_ard_3-0-0_091088_2018-04-07_final
2018-06-11 09:27:19	ga_ls8c_ard_3-0-0_091089_2018-06-10_final
2018-08-21 09:33:44	ga_ls8c_ard_3-0-0_092088_2018-08-21_final
2019-01-27 10:27:40	ga_ls8c_ard_3-0-0_101083_2019-01-27_final
2019-02-06 09:23:02	ga_ls8c_ard_3-0-0_091076_2019-02-05_final
2019-08-03 10:49:04	ga_ls8c_ard_3-1-0_105074_2019-08-03_final
2020-02-09 11:05:00	ga_ls8c_ard_3-1-0_107083_2020-02-09_final
2020-02-10 10:03:48	ga_ls8c_ard_3-1-0_098069_2020-02-10_final
2020-05-07 11:52:12	ga_ls8c_ard_3-1-0_115079_2020-05-07_final
2020-08-13 09:57:33	ga_ls8c_ard_3-1-0_097069_2020-08-13_final
2020-08-20 10:02:36	ga_ls8c_ard_3-2-1_098066_2020-08-20_final
2020-08-22 11:34:44	ga_ls8c_ard_3-1-0_112080_2020-08-22_final
2020-09-02 11:17:53	ga_ls8c_ard_3-1-0_109084_2020-09-02_final
2020-11-21 09:40:45	ga_ls8c_ard_3-1-0_093088_2020-11-21_final
2021-02-06 10:40:33	ga_ls8c_ard_3-2-0_104068_2021-02-06_final
2021-02-27 09:23:17	ga_ls8c_ard_3-2-0_091076_2021-02-26_final
2021-06-09 10:27:17	ga_ls8c_ard_3-2-0_101082_2021-06-09_final
2021-06-16 10:33:06	ga_ls8c_ard_3-2-0_102081_2021-06-16_final
2021-06-24 09:38:06	ga_ls8c_ard_3-2-0_094067_2021-06-24_final
2021-07-09 10:39:21	ga_ls8c_ard_3-2-0_103081_2021-07-09_final
2021-07-21 09:25:14	ga_ls8c_ard_3-2-0_091081_2021-07-20_final
2021-08-11 09:40:21	ga_ls8c_ard_3-2-0_094072_2021-08-11_final
2021-12-27 10:22:22	ga_ls8c_ard_3-2-1_100084_2021-12-27_final
2022-01-14 10:09:57	ga_ls8c_ard_3-2-1_098084_2022-01-14_final
2022-02-06 11:52:56	ga_ls8c_ard_3-2-1_115079_2022-02-06_final
2022-06-05 10:19:21	ga_ls8c_ard_3-2-1_100077_2022-06-05_final
2022-06-16 11:40:37	ga_ls8c_ard_3-2-1_113079_2022-06-16_final
2022-10-18 10:24:02	ga_ls8c_ard_3-2-1_101072_2022-10-18_final
2022-10-29 11:47:39	ga_ls8c_ard_3-2-1_114080_2022-10-29_final
2022-11-02 11:18:33	ga_ls8c_ard_3-2-1_110069_2022-11-02_final
2023-02-04 09:57:45	ga_ls8c_ard_3-2-1_096084_2023-02-04_final
2023-04-08 10:46:15	ga_ls8c_ard_3-2-1_105068_2023-04-08_final
2023-05-15 09:33:31	ga_ls8c_ard_3-2-1_092088_2023-05-15_final
2023-05-29 09:39:08	ga_ls8c_ard_3-2-1_094071_2023-05-29_final
2023-08-12 09:28:44	ga_ls8c_ard_3-2-1_091090_2023-08-11_final
2023-10-05 10:27:59	ga_ls8c_ard_3-2-1_101083_2023-10-05_final
2023-12-12 11:37:48	ga_ls8c_ard_3-2-1_113072_2023-12-12_final
2024-01-19 09:22:11	ga_ls8c_ard_3-2-1_091073_2024-01-18_final
2024-02-05 10:04:38	ga_ls8c_ard_3-2-1_098071_2024-02-05_final
2024-02-05 10:09:50	ga_ls8c_ard_3-2-1_098084_2024-02-05_final
2024-02-07 11:31:34	ga_ls8c_ard_3-2-1_112072_2024-02-07_final
2024-03-10 11:32:07	ga_ls8c_ard_3-2-1_112074_2024-03-10_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