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

71 results

Time (local)	Label
2014-02-27 09:56:28	ga_ls8c_ard_3-0-0_096080_2014-02-27_final
2014-12-21 11:25:01	ga_ls8c_ard_3-0-0_111071_2014-12-21_final
2015-02-26 10:16:42	ga_ls8c_ard_3-0-0_100071_2015-02-26_final
2015-03-14 10:21:17	ga_ls8c_ard_3-0-0_100083_2015-03-14_final
2015-05-18 11:00:24	ga_ls8c_ard_3-0-0_107074_2015-05-18_final
2015-06-11 11:50:27	ga_ls8c_ard_3-0-0_115075_2015-06-11_final
2015-07-24 09:55:22	ga_ls8c_ard_3-0-0_096080_2015-07-24_final
2015-11-20 09:56:55	ga_ls8c_ard_3-0-0_097067_2015-11-20_final
2016-04-28 09:57:07	ga_ls8c_ard_3-0-0_097069_2016-04-28_final
2016-05-09 09:43:23	ga_ls8c_ard_3-0-0_094081_2016-05-09_final
2016-06-01 09:44:04	ga_ls8c_ard_3-0-0_095067_2016-06-01_final
2016-06-22 10:09:05	ga_ls8c_ard_3-0-0_098083_2016-06-22_final
2016-07-30 11:07:57	ga_ls8c_ard_3-0-0_108075_2016-07-30_final
2016-11-05 09:21:50	ga_ls8c_ard_3-0-0_090087_2016-11-04_final
2016-12-11 10:33:33	ga_ls8c_ard_3-0-0_102081_2016-12-11_final
2017-03-03 10:19:08	ga_ls8c_ard_3-0-0_100077_2017-03-03_final
2017-07-22 09:44:18	ga_ls8c_ard_3-0-0_095067_2017-07-22_final
2017-08-18 11:08:00	ga_ls8c_ard_3-0-0_108075_2017-08-18_final
2017-10-21 09:28:10	ga_ls8c_ard_3-0-0_092072_2017-10-20_final
2017-10-29 10:19:36	ga_ls8c_ard_3-0-0_100077_2017-10-29_final
2018-02-02 10:16:47	ga_ls8c_ard_3-0-0_100071_2018-02-02_final
2018-02-13 11:37:28	ga_ls8c_ard_3-0-0_113072_2018-02-13_final
2018-02-19 09:21:52	ga_ls8c_ard_3-0-0_091073_2018-02-18_final
2018-03-07 09:24:31	ga_ls8c_ard_3-0-0_091080_2018-03-06_final
2018-03-23 09:22:00	ga_ls8c_ard_3-0-0_091074_2018-03-22_final
2018-04-10 10:45:59	ga_ls8c_ard_3-0-0_105068_2018-04-10_final
2018-05-22 09:43:20	ga_ls8c_ard_3-0-0_095067_2018-05-22_final
2018-08-26 11:24:00	ga_ls8c_ard_3-0-0_111070_2018-08-26_final
2018-11-16 11:13:40	ga_ls8c_ard_3-0-0_109074_2018-11-16_final
2019-04-22 09:05:45	ga_ls8c_ard_3-0-0_088080_2019-04-21_final
2019-06-21 11:07:48	ga_ls8c_ard_3-1-0_108075_2019-06-21_final
2019-10-20 11:03:21	ga_ls8c_ard_3-1-0_107078_2019-10-20_final
2020-01-17 10:55:45	ga_ls8c_ard_3-1-0_106075_2020-01-17_final
2020-08-12 10:55:34	ga_ls8c_ard_3-1-0_106075_2020-08-12_final
2020-10-29 09:26:12	ga_ls8c_ard_3-1-0_092067_2020-10-28_final
2021-02-13 09:11:24	ga_ls8c_ard_3-2-0_089077_2021-02-12_final
2021-02-20 10:52:26	ga_ls8c_ard_3-2-0_106067_2021-02-20_final
2021-02-26 10:19:18	ga_ls8c_ard_3-2-0_100077_2021-02-26_final
2021-03-22 09:26:05	ga_ls8c_ard_3-2-0_092068_2021-03-21_final
2021-03-24 09:17:42	ga_ls8c_ard_3-2-0_090078_2021-03-23_final
2021-03-31 09:27:27	ga_ls8c_ard_3-2-0_091087_2021-03-30_final
2021-05-03 10:09:15	ga_ls8c_ard_3-2-0_098084_2021-05-03_final
2021-05-26 10:08:25	ga_ls8c_ard_3-2-1_099066_2021-05-26_final
2021-07-07 10:49:42	ga_ls8c_ard_3-2-0_105076_2021-07-07_final
2021-07-11 10:26:59	ga_ls8c_ard_3-2-0_101081_2021-07-11_final
2021-09-03 09:51:26	ga_ls8c_ard_3-2-0_095084_2021-09-03_final
2021-10-09 09:29:16	ga_ls8c_ard_3-2-0_091090_2021-10-08_final
2022-01-13 09:28:18	ga_ls8c_ard_3-2-1_091088_2022-01-12_final
2022-01-24 09:07:18	ga_ls8c_ard_3-2-1_088082_2022-01-23_final
2022-02-23 09:20:43	ga_ls8c_ard_3-2-1_090085_2022-02-22_final
2022-03-13 10:45:58	ga_ls8c_ard_3-2-1_104082_2022-03-13_final
2022-03-16 09:33:58	ga_ls8c_ard_3-2-1_093072_2022-03-16_final
2022-03-16 11:13:39	ga_ls8c_ard_3-2-1_109074_2022-03-16_final
2022-04-18 10:20:44	ga_ls8c_ard_3-2-1_100081_2022-04-18_final
2022-09-23 10:33:54	ga_ls8c_ard_3-2-1_102081_2022-09-23_final
2022-12-09 10:04:06	ga_ls8c_ard_3-2-1_097084_2022-12-09_final
2023-01-08 10:10:19	ga_ls8c_ard_3-2-1_099069_2023-01-08_final
2023-02-02 10:05:20	ga_ls8c_ard_3-2-1_098072_2023-02-02_final
2023-04-13 11:08:18	ga_ls8c_ard_3-2-1_108077_2023-04-13_final
2023-04-15 09:21:26	ga_ls8c_ard_3-2-1_090088_2023-04-14_final
2023-04-30 11:51:05	ga_ls8c_ard_3-2-1_115076_2023-04-30_final
2023-06-01 10:14:49	ga_ls8c_ard_3-2-1_099083_2023-06-01_final
2023-06-17 10:10:11	ga_ls8c_ard_3-2-1_099071_2023-06-17_final
2023-06-21 11:23:57	ga_ls8c_ard_3-2-1_111070_2023-06-21_final
2023-07-26 10:19:05	ga_ls8c_ard_3-2-1_100077_2023-07-26_final
2023-08-30 09:16:06	ga_ls8c_ard_3-2-1_089089_2023-08-29_final
2023-09-05 10:15:53	ga_ls8c_ard_3-2-1_099084_2023-09-05_final
2024-01-19 11:01:04	ga_ls8c_ard_3-2-1_107073_2024-01-19_final
2024-02-12 10:10:25	ga_ls8c_ard_3-2-1_099070_2024-02-12_final
2024-03-23 09:21:48	ga_ls8c_ard_3-2-1_091073_2024-03-22_final
2024-03-28 09:39:25	ga_ls8c_ard_3-2-1_094071_2024-03-28_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