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

75 results

Time (local)	Label
2013-05-17 09:41:49	ga_ls8c_ard_3-0-0_094071_2013-05-17_final
2013-07-07 10:15:30	ga_ls8c_ard_3-0-0_099078_2013-07-07_final
2014-03-04 10:11:17	ga_ls8c_ard_3-0-0_099071_2014-03-04_final
2014-03-30 09:11:33	ga_ls8c_ard_3-0-0_089077_2014-03-29_final
2014-04-27 09:34:15	ga_ls8c_ard_3-0-0_093073_2014-04-27_final
2014-11-22 10:19:04	ga_ls8c_ard_3-0-0_100076_2014-11-22_final
2014-12-18 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-12-17_final
2015-01-10 11:05:00	ga_ls8c_ard_3-0-0_107083_2015-01-10_final
2015-01-13 11:32:18	ga_ls8c_ard_3-0-0_112074_2015-01-13_final
2015-02-04 09:17:02	ga_ls8c_ard_3-0-0_090076_2015-02-03_final
2015-03-08 09:16:47	ga_ls8c_ard_3-0-0_090076_2015-03-07_final
2015-06-01 11:13:14	ga_ls8c_ard_3-0-0_109075_2015-06-01_final
2015-08-02 09:44:02	ga_ls8c_ard_3-0-0_095067_2015-08-02_final
2015-11-06 09:51:18	ga_ls8c_ard_3-0-0_095084_2015-11-06_final
2015-11-13 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-11-13_final
2016-04-10 10:13:08	ga_ls8c_ard_3-0-0_099078_2016-04-10_final
2016-08-29 11:22:04	ga_ls8c_ard_3-0-0_110079_2016-08-29_final
2016-09-14 11:18:08	ga_ls8c_ard_3-0-0_110069_2016-09-14_final
2017-03-01 10:33:07	ga_ls8c_ard_3-0-0_102081_2017-03-01_final
2017-04-01 09:43:59	ga_ls8c_ard_3-0-0_095067_2017-04-01_final
2017-05-03 09:43:41	ga_ls8c_ard_3-0-0_095067_2017-05-03_final
2017-05-05 11:12:14	ga_ls8c_ard_3-0-0_109072_2017-05-05_final
2017-05-07 09:19:25	ga_ls8c_ard_3-0-0_091068_2017-05-06_final
2017-08-16 11:22:45	ga_ls8c_ard_3-0-0_110081_2017-08-16_final
2017-09-24 11:29:52	ga_ls8c_ard_3-0-0_111083_2017-09-24_final
2017-12-03 09:10:16	ga_ls8c_ard_3-0-0_089074_2017-12-02_final
2018-02-06 11:31:19	ga_ls8c_ard_3-0-0_112072_2018-02-06_final
2018-02-17 09:33:50	ga_ls8c_ard_3-0-0_093072_2018-02-17_final
2018-03-19 09:51:56	ga_ls8c_ard_3-0-0_095087_2018-03-19_final
2018-05-18 10:12:06	ga_ls8c_ard_3-0-0_099077_2018-05-18_final
2018-06-14 09:57:03	ga_ls8c_ard_3-0-0_096086_2018-06-14_final
2018-07-05 10:08:13	ga_ls8c_ard_3-0-0_099067_2018-07-05_final
2018-10-29 11:25:59	ga_ls8c_ard_3-0-0_111074_2018-10-29_final
2019-02-20 11:14:15	ga_ls8c_ard_3-0-0_109076_2019-02-20_final
2019-03-26 09:21:39	ga_ls8c_ard_3-1-0_091073_2019-03-25_final
2019-04-23 09:45:48	ga_ls8c_ard_3-0-0_095072_2019-04-23_final
2019-07-14 11:14:04	ga_ls8c_ard_3-1-0_109075_2019-07-14_final
2019-09-25 09:34:35	ga_ls8c_ard_3-1-0_092088_2019-09-25_final
2019-11-04 10:20:05	ga_ls8c_ard_3-1-0_100078_2019-11-04_final
2019-12-25 09:10:23	ga_ls8c_ard_3-1-0_089074_2019-12-24_final
2020-02-07 11:14:11	ga_ls8c_ard_3-1-0_109075_2020-02-07_final
2020-02-13 10:34:17	ga_ls8c_ard_3-1-0_103068_2020-02-13_final
2020-04-22 10:55:08	ga_ls8c_ard_3-1-0_106075_2020-04-22_final
2020-04-27 09:33:33	ga_ls8c_ard_3-1-0_093072_2020-04-27_final
2020-04-28 10:18:48	ga_ls8c_ard_3-1-0_100077_2020-04-28_final
2020-05-06 09:28:05	ga_ls8c_ard_3-1-0_092074_2020-05-05_final
2020-05-18 11:29:42	ga_ls8c_ard_3-1-0_112069_2020-05-18_final
2020-06-23 09:34:22	ga_ls8c_ard_3-1-0_092089_2020-06-23_final
2020-07-09 11:07:23	ga_ls8c_ard_3-1-0_108074_2020-07-09_final
2020-07-10 10:12:58	ga_ls8c_ard_3-1-0_099077_2020-07-10_final
2021-01-28 09:11:51	ga_ls8c_ard_3-2-0_089078_2021-01-27_final
2021-02-03 10:11:15	ga_ls8c_ard_3-2-0_099072_2021-02-03_final
2021-03-16 10:09:10	ga_ls8c_ard_3-2-0_098083_2021-03-16_final
2021-05-22 10:39:06	ga_ls8c_ard_3-2-0_103081_2021-05-22_final
2021-08-08 09:14:13	ga_ls8c_ard_3-2-0_089084_2021-08-07_final
2021-09-13 10:27:45	ga_ls8c_ard_3-2-0_101082_2021-09-13_final
2021-10-17 10:11:09	ga_ls8c_ard_3-2-0_099071_2021-10-17_final
2021-12-30 10:47:16	ga_ls8c_ard_3-2-1_105069_2021-12-30_final
2022-01-13 09:22:19	ga_ls8c_ard_3-2-1_091073_2022-01-12_final
2022-05-19 09:37:11	ga_ls8c_ard_3-2-1_093080_2022-05-19_final
2022-06-04 11:14:34	ga_ls8c_ard_3-2-1_109076_2022-06-04_final
2022-06-15 10:55:45	ga_ls8c_ard_3-2-1_106075_2022-06-15_final
2022-10-24 11:24:42	ga_ls8c_ard_3-2-1_111069_2022-10-24_final
2022-12-25 09:57:57	ga_ls8c_ard_3-2-1_097069_2022-12-25_final
2023-04-21 10:18:49	ga_ls8c_ard_3-2-1_100077_2023-04-21_final
2023-05-12 10:39:08	ga_ls8c_ard_3-2-1_103082_2023-05-12_final
2023-05-31 09:33:10	ga_ls8c_ard_3-2-1_092087_2023-05-31_final
2023-07-25 09:34:12	ga_ls8c_ard_3-2-1_093073_2023-07-25_final
2023-07-27 09:22:16	ga_ls8c_ard_3-2-1_091074_2023-07-26_final
2023-09-13 11:05:00	ga_ls8c_ard_3-2-1_107083_2023-09-13_final
2023-10-13 11:14:17	ga_ls8c_ard_3-2-1_109075_2023-10-13_final
2023-11-05 09:40:01	ga_ls8c_ard_3-2-1_094071_2023-11-05_final
2024-02-19 10:17:22	ga_ls8c_ard_3-2-1_100072_2024-02-19_final
2024-03-18 10:45:49	ga_ls8c_ard_3-2-1_104082_2024-03-18_final
2024-04-22 11:13:35	ga_ls8c_ard_3-2-1_109075_2024-04-22_nrt

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years