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

80 results

Time (local)	Label
2013-03-28 09:15:53	ga_ls8c_ard_3-0-0_090077_2013-03-27_final
2013-03-29 09:57:15	ga_ls8c_ard_3-0-0_096084_2013-03-29_final
2013-07-17 09:16:05	ga_ls8c_ard_3-0-0_089084_2013-07-16_final
2013-12-11 11:20:18	ga_ls8c_ard_3-0-0_110071_2013-12-11_final
2013-12-20 11:15:11	ga_ls8c_ard_3-0-0_109074_2013-12-20_final
2013-12-30 10:12:08	ga_ls8c_ard_3-0-0_099071_2013-12-30_final
2014-02-02 10:03:24	ga_ls8c_ard_3-0-0_097081_2014-02-02_final
2014-07-23 09:38:06	ga_ls8c_ard_3-0-0_094067_2014-07-23_final
2014-10-24 09:10:44	ga_ls8c_ard_3-0-0_089075_2014-10-23_final
2014-10-27 09:40:25	ga_ls8c_ard_3-0-0_094072_2014-10-27_final
2014-11-13 10:28:06	ga_ls8c_ard_3-0-0_101083_2014-11-13_final
2015-03-23 10:14:40	ga_ls8c_ard_3-0-0_099082_2015-03-23_final
2015-03-24 09:17:02	ga_ls8c_ard_3-0-0_090077_2015-03-23_final
2015-04-21 11:21:16	ga_ls8c_ard_3-0-0_110079_2015-04-21_final
2015-05-12 09:56:13	ga_ls8c_ard_3-0-0_097068_2015-05-12_final
2015-06-23 10:38:45	ga_ls8c_ard_3-0-0_103081_2015-06-23_final
2015-10-28 11:29:58	ga_ls8c_ard_3-0-0_112068_2015-10-28_final
2016-03-19 10:46:00	ga_ls8c_ard_3-0-0_105067_2016-03-19_final
2016-06-24 09:57:33	ga_ls8c_ard_3-0-0_096085_2016-06-24_final
2016-08-10 09:11:21	ga_ls8c_ard_3-0-0_089077_2016-08-09_final
2016-08-28 10:40:00	ga_ls8c_ard_3-0-0_103082_2016-08-28_final
2017-05-28 11:16:41	ga_ls8c_ard_3-0-0_110067_2017-05-28_final
2017-05-30 09:33:50	ga_ls8c_ard_3-0-0_092088_2017-05-30_final
2017-07-01 11:08:07	ga_ls8c_ard_3-0-0_108076_2017-07-01_final
2017-07-06 11:23:53	ga_ls8c_ard_3-0-0_111069_2017-07-06_final
2017-07-29 11:32:12	ga_ls8c_ard_3-0-0_112074_2017-07-29_final
2017-08-02 11:09:31	ga_ls8c_ard_3-0-0_108079_2017-08-02_final
2017-08-13 09:10:33	ga_ls8c_ard_3-0-0_089075_2017-08-12_final
2017-09-08 09:51:42	ga_ls8c_ard_3-0-0_095085_2017-09-08_final
2017-11-06 09:35:20	ga_ls8c_ard_3-0-0_092090_2017-11-06_final
2017-11-08 09:20:10	ga_ls8c_ard_3-0-0_090083_2017-11-07_final
2018-02-14 10:45:50	ga_ls8c_ard_3-0-0_104082_2018-02-14_final
2018-03-17 11:41:35	ga_ls8c_ard_3-0-0_113083_2018-03-17_final
2018-04-12 10:38:47	ga_ls8c_ard_3-0-0_103081_2018-04-12_final
2018-04-16 10:15:13	ga_ls8c_ard_3-0-0_099084_2018-04-16_final
2018-05-24 11:13:25	ga_ls8c_ard_3-0-0_109076_2018-05-24_final
2018-07-05 10:14:36	ga_ls8c_ard_3-0-0_099083_2018-07-05_final
2018-07-15 09:10:29	ga_ls8c_ard_3-0-0_089077_2018-07-14_final
2018-07-16 11:29:51	ga_ls8c_ard_3-0-0_112070_2018-07-16_final
2018-07-22 10:51:36	ga_ls8c_ard_3-0-0_106067_2018-07-22_final
2018-07-31 10:45:54	ga_ls8c_ard_3-0-0_105068_2018-07-31_final
2018-08-28 11:13:15	ga_ls8c_ard_3-1-0_109074_2018-08-28_final
2018-09-29 09:31:46	ga_ls8c_ard_3-0-0_093067_2018-09-29_final
2018-12-20 09:27:57	ga_ls8c_ard_3-0-0_091088_2018-12-19_final
2019-03-26 09:27:38	ga_ls8c_ard_3-1-0_091088_2019-03-25_final
2019-06-25 09:06:13	ga_ls8c_ard_3-1-0_088080_2019-06-24_final
2019-10-28 10:11:07	ga_ls8c_ard_3-1-0_099071_2019-10-28_final
2020-04-08 10:43:40	ga_ls8c_ard_3-1-0_104077_2020-04-08_final
2020-05-14 10:19:07	ga_ls8c_ard_3-1-0_100078_2020-05-14_final
2020-05-27 09:45:28	ga_ls8c_ard_3-1-0_095071_2020-05-27_final
2020-07-07 11:20:08	ga_ls8c_ard_3-1-0_110075_2020-07-07_final
2020-09-12 10:08:57	ga_ls8c_ard_3-2-1_099066_2020-09-12_final
2020-11-12 09:38:30	ga_ls8c_ard_3-1-0_094067_2020-11-12_final
2020-11-24 11:42:10	ga_ls8c_ard_3-1-0_114067_2020-11-24_final
2020-12-11 09:12:04	ga_ls8c_ard_3-1-0_089078_2020-12-10_final
2020-12-18 09:18:14	ga_ls8c_ard_3-2-0_090078_2020-12-17_final
2021-01-27 10:09:28	ga_ls8c_ard_3-2-0_098083_2021-01-27_final
2021-01-30 10:34:47	ga_ls8c_ard_3-2-0_103069_2021-01-30_final
2021-02-02 11:05:41	ga_ls8c_ard_3-2-0_108069_2021-02-02_final
2021-02-20 09:17:57	ga_ls8c_ard_3-2-0_090078_2021-02-19_final
2021-05-25 11:07:38	ga_ls8c_ard_3-2-0_108075_2021-05-25_final
2021-06-24 09:40:06	ga_ls8c_ard_3-2-0_094072_2021-06-24_final
2021-11-20 10:03:29	ga_ls8c_ard_3-2-0_097083_2021-11-20_final
2021-11-25 10:20:51	ga_ls8c_ard_3-2-0_100080_2021-11-25_final
2021-12-28 09:24:45	ga_ls8c_ard_3-2-1_091079_2021-12-27_final
2022-01-31 09:10:39	ga_ls8c_ard_3-2-1_089075_2022-01-30_final
2022-05-08 09:58:02	ga_ls8c_ard_3-2-1_096086_2022-05-08_final
2022-05-28 09:32:35	ga_ls8c_ard_3-2-1_092084_2022-05-28_final
2022-07-31 11:08:21	ga_ls8c_ard_3-2-1_108075_2022-07-31_final
2022-08-17 10:09:39	ga_ls8c_ard_3-2-1_099067_2022-08-17_final
2022-11-25 11:30:14	ga_ls8c_ard_3-2-1_111083_2022-11-25_final
2022-12-02 09:57:56	ga_ls8c_ard_3-2-1_096084_2022-12-02_final
2023-01-26 11:41:13	ga_ls8c_ard_3-2-1_113080_2023-01-26_final
2023-02-20 09:51:58	ga_ls8c_ard_3-2-1_096070_2023-02-20_final
2023-05-07 11:57:59	ga_ls8c_ard_3-2-1_116078_2023-05-07_final
2023-08-07 09:07:00	ga_ls8c_ard_3-2-1_088082_2023-08-06_final
2023-09-06 09:21:51	ga_ls8c_ard_3-2-1_090088_2023-09-05_final
2023-12-04 10:52:20	ga_ls8c_ard_3-2-1_105082_2023-12-04_final
2023-12-17 10:17:30	ga_ls8c_ard_3-2-1_100072_2023-12-17_final
2024-03-21 11:11:53	ga_ls8c_ard_3-2-1_109070_2024-03-21_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