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

84 results

Time (local)	Label
2013-05-25 10:35:18	ga_ls8c_ard_3-0-0_102081_2013-05-25_final
2013-08-06 10:29:29	ga_ls8c_ard_3-0-0_101082_2013-08-06_final
2013-11-21 10:10:57	ga_ls8c_ard_3-0-0_098083_2013-11-21_final
2014-01-10 09:51:51	ga_ls8c_ard_3-0-0_096067_2014-01-10_final
2014-05-19 10:36:58	ga_ls8c_ard_3-0-0_103076_2014-05-19_final
2014-07-14 09:51:51	ga_ls8c_ard_3-0-0_095086_2014-07-14_final
2015-01-30 10:35:48	ga_ls8c_ard_3-0-0_103072_2015-01-30_final
2015-03-18 11:31:51	ga_ls8c_ard_3-0-0_112074_2015-03-18_final
2015-04-19 09:49:58	ga_ls8c_ard_3-0-0_096067_2015-04-19_final
2015-07-08 11:30:57	ga_ls8c_ard_3-0-0_112072_2015-07-08_final
2015-07-29 10:12:44	ga_ls8c_ard_3-0-0_099077_2015-07-29_final
2015-08-27 09:38:01	ga_ls8c_ard_3-0-0_094067_2015-08-27_final
2015-10-16 09:28:40	ga_ls8c_ard_3-0-0_092074_2015-10-15_final
2015-11-13 09:50:41	ga_ls8c_ard_3-0-0_096067_2015-11-13_final
2015-12-05 10:52:56	ga_ls8c_ard_3-0-0_106068_2015-12-05_final
2015-12-05 10:53:43	ga_ls8c_ard_3-0-0_106070_2015-12-05_final
2016-03-10 10:52:39	ga_ls8c_ard_3-0-0_106068_2016-03-10_final
2016-03-21 10:39:13	ga_ls8c_ard_3-0-0_103081_2016-03-21_final
2016-04-03 11:41:29	ga_ls8c_ard_3-0-0_114067_2016-04-03_final
2016-05-07 09:50:11	ga_ls8c_ard_3-0-0_096067_2016-05-07_final
2016-06-15 09:56:28	ga_ls8c_ard_3-0-0_097067_2016-06-15_final
2016-06-30 09:16:56	ga_ls8c_ard_3-0-0_090076_2016-06-29_final
2016-08-26 10:46:45	ga_ls8c_ard_3-0-0_105068_2016-08-26_final
2016-09-07 09:34:15	ga_ls8c_ard_3-0-0_093072_2016-09-07_final
2016-11-06 09:57:30	ga_ls8c_ard_3-0-0_097068_2016-11-06_final
2017-02-21 11:17:49	ga_ls8c_ard_3-0-0_110069_2017-02-21_final
2017-05-18 10:45:29	ga_ls8c_ard_3-0-0_104082_2017-05-18_final
2017-06-11 09:51:28	ga_ls8c_ard_3-0-0_096070_2017-06-11_final
2017-06-20 09:44:08	ga_ls8c_ard_3-0-0_095067_2017-06-20_final
2017-07-08 09:40:14	ga_ls8c_ard_3-0-0_093088_2017-07-08_final
2017-09-21 09:17:40	ga_ls8c_ard_3-0-0_090077_2017-09-20_final
2017-11-07 10:13:24	ga_ls8c_ard_3-0-0_099077_2017-11-07_final
2017-11-23 10:10:07	ga_ls8c_ard_3-0-0_099069_2017-11-23_final
2018-02-27 10:10:27	ga_ls8c_ard_3-0-0_099071_2018-02-27_final
2018-03-20 10:32:47	ga_ls8c_ard_3-0-0_102081_2018-03-20_final
2018-04-16 10:14:49	ga_ls8c_ard_3-0-0_099083_2018-04-16_final
2018-04-24 09:26:54	ga_ls8c_ard_3-0-0_091087_2018-04-23_final
2018-05-11 10:02:25	ga_ls8c_ard_3-0-0_098068_2018-05-11_final
2018-05-24 11:13:01	ga_ls8c_ard_3-1-0_109075_2018-05-24_final
2018-06-20 09:21:14	ga_ls8c_ard_3-0-0_090089_2018-06-19_final
2018-07-31 10:49:05	ga_ls8c_ard_3-0-0_105076_2018-07-31_final
2018-11-21 11:29:48	ga_ls8c_ard_3-0-0_112068_2018-11-21_final
2018-12-23 11:30:33	ga_ls8c_ard_3-0-0_112070_2018-12-23_final
2019-02-26 10:35:33	ga_ls8c_ard_3-0-0_103072_2019-02-26_final
2019-03-29 11:31:01	ga_ls8c_ard_3-1-0_112072_2019-03-29_final
2019-07-09 10:55:31	ga_ls8c_ard_3-1-0_106075_2019-07-09_final
2019-07-18 10:49:21	ga_ls8c_ard_3-1-0_105075_2019-07-18_final
2019-07-30 09:39:40	ga_ls8c_ard_3-1-0_093086_2019-07-30_final
2019-08-31 09:34:14	ga_ls8c_ard_3-1-0_093072_2019-08-31_final
2019-09-21 09:57:41	ga_ls8c_ard_3-1-0_096084_2019-09-21_final
2019-09-29 09:07:29	ga_ls8c_ard_3-1-0_088082_2019-09-28_final
2020-02-17 10:08:45	ga_ls8c_ard_3-2-1_099066_2020-02-17_final
2020-03-13 10:07:13	ga_ls8c_ard_3-1-0_098078_2020-03-13_final
2020-03-27 10:16:39	ga_ls8c_ard_3-1-0_100071_2020-03-27_final
2020-05-14 10:16:19	ga_ls8c_ard_3-1-0_100071_2020-05-14_final
2020-05-22 11:06:59	ga_ls8c_ard_3-1-0_108074_2020-05-22_final
2020-08-20 10:07:24	ga_ls8c_ard_3-1-0_098078_2020-08-20_final
2020-12-14 11:17:28	ga_ls8c_ard_3-1-0_110067_2020-12-14_final
2021-01-12 09:16:42	ga_ls8c_ard_3-2-0_089090_2021-01-11_final
2021-03-19 10:34:04	ga_ls8c_ard_3-2-0_103068_2021-03-19_final
2021-04-01 10:09:30	ga_ls8c_ard_3-2-0_098084_2021-04-01_final
2021-05-25 09:28:45	ga_ls8c_ard_3-2-0_092075_2021-05-24_final
2021-05-28 11:37:22	ga_ls8c_ard_3-2-0_113072_2021-05-28_final
2021-06-04 10:07:06	ga_ls8c_ard_3-2-0_098078_2021-06-04_final
2021-07-14 09:17:00	ga_ls8c_ard_3-2-0_090076_2021-07-13_final
2021-09-25 09:11:38	ga_ls8c_ard_3-2-0_089077_2021-09-24_final
2021-10-25 09:22:31	ga_ls8c_ard_3-2-0_091073_2021-10-24_final
2021-11-01 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-11-01_final
2021-12-29 10:10:00	ga_ls8c_ard_3-2-1_098084_2021-12-29_final
2022-01-06 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-01-06_final
2022-01-18 09:40:26	ga_ls8c_ard_3-2-1_094072_2022-01-18_final
2022-05-01 09:52:10	ga_ls8c_ard_3-2-1_095087_2022-05-01_final
2022-05-21 09:22:49	ga_ls8c_ard_3-2-1_091075_2022-05-20_final
2022-07-04 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-07-04_final
2022-10-12 09:23:24	ga_ls8c_ard_3-2-1_091075_2022-10-11_final
2023-02-05 10:39:49	ga_ls8c_ard_3-2-1_103081_2023-02-05_final
2023-04-13 09:27:25	ga_ls8c_ard_3-2-1_092072_2023-04-12_final
2023-07-19 10:08:50	ga_ls8c_ard_3-2-1_099067_2023-07-19_final
2023-08-21 10:55:34	ga_ls8c_ard_3-2-1_106075_2023-08-21_final
2023-09-24 10:40:31	ga_ls8c_ard_3-2-1_104068_2023-09-24_final
2023-09-29 09:22:12	ga_ls8c_ard_3-2-1_091073_2023-09-28_final
2023-11-02 10:49:13	ga_ls8c_ard_3-2-1_105074_2023-11-02_final
2024-02-27 09:27:53	ga_ls8c_ard_3-2-1_092072_2024-02-26_final
2024-03-28 11:19:30	ga_ls8c_ard_3-2-1_110074_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