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

90 results

Time (local)	Label
2013-12-23 10:05:12	ga_ls8c_ard_3-0-0_098069_2013-12-23_final
2014-01-21 11:14:52	ga_ls8c_ard_3-0-0_109074_2014-01-21_final
2014-02-04 09:47:50	ga_ls8c_ard_3-0-0_095073_2014-02-04_final
2014-06-05 11:16:45	ga_ls8c_ard_3-0-0_110067_2014-06-05_final
2014-08-21 10:49:29	ga_ls8c_ard_3-0-0_105075_2014-08-21_final
2014-12-16 11:11:15	ga_ls8c_ard_3-0-0_108083_2014-12-16_final
2015-01-20 09:57:57	ga_ls8c_ard_3-0-0_097070_2015-01-20_final
2015-01-25 10:22:02	ga_ls8c_ard_3-0-0_100084_2015-01-25_final
2015-05-01 10:18:56	ga_ls8c_ard_3-0-0_100078_2015-05-01_final
2015-07-29 10:10:44	ga_ls8c_ard_3-0-0_099072_2015-07-29_final
2015-10-01 10:13:08	ga_ls8c_ard_3-0-0_099077_2015-10-01_final
2015-11-01 11:06:04	ga_ls8c_ard_3-0-0_108070_2015-11-01_final
2016-01-15 09:11:24	ga_ls8c_ard_3-0-0_089077_2016-01-14_final
2016-01-27 09:33:43	ga_ls8c_ard_3-0-0_093071_2016-01-27_final
2016-02-25 10:45:55	ga_ls8c_ard_3-0-0_104082_2016-02-25_final
2016-03-14 10:30:18	ga_ls8c_ard_3-0-0_102074_2016-03-14_final
2016-03-18 10:04:21	ga_ls8c_ard_3-1-0_098071_2016-03-18_final
2016-04-26 11:51:08	ga_ls8c_ard_3-0-0_115076_2016-04-26_final
2016-05-11 11:06:41	ga_ls8c_ard_3-0-0_108073_2016-05-11_final
2016-07-26 11:32:16	ga_ls8c_ard_3-0-0_112074_2016-07-26_final
2016-09-03 09:57:22	ga_ls8c_ard_3-0-0_097068_2016-09-03_final
2016-10-05 09:57:26	ga_ls8c_ard_3-0-0_097068_2016-10-05_final
2016-11-12 11:02:05	ga_ls8c_ard_3-0-0_107075_2016-11-12_final
2016-11-24 09:44:45	ga_ls8c_ard_3-0-0_095067_2016-11-24_final
2016-12-08 09:57:05	ga_ls8c_ard_3-0-0_097067_2016-12-08_final
2017-02-08 10:13:54	ga_ls8c_ard_3-0-0_099079_2017-02-08_final
2017-04-01 11:23:40	ga_ls8c_ard_3-0-0_111069_2017-04-01_final
2017-04-15 09:56:38	ga_ls8c_ard_3-0-0_097068_2017-04-15_final
2017-04-26 11:17:15	ga_ls8c_ard_3-0-0_110069_2017-04-26_final
2017-06-14 10:22:47	ga_ls8c_ard_3-0-0_101071_2017-06-14_final
2017-06-16 11:52:07	ga_ls8c_ard_3-0-0_115078_2017-06-16_final
2017-07-28 09:10:03	ga_ls8c_ard_3-0-0_089074_2017-07-27_final
2017-09-21 09:21:15	ga_ls8c_ard_3-0-0_090086_2017-09-20_final
2017-09-29 10:09:57	ga_ls8c_ard_3-0-0_098084_2017-09-29_final
2017-10-07 10:55:51	ga_ls8c_ard_3-0-0_106075_2017-10-07_final
2017-10-22 10:09:02	ga_ls8c_ard_3-2-1_099066_2017-10-22_final
2017-11-17 10:52:26	ga_ls8c_ard_3-0-0_105082_2017-11-17_final
2017-12-25 10:09:43	ga_ls8c_ard_3-0-0_099068_2017-12-25_final
2018-06-04 09:19:52	ga_ls8c_ard_3-0-0_090086_2018-06-03_final
2018-06-14 11:29:33	ga_ls8c_ard_3-0-0_112070_2018-06-14_final
2018-07-05 10:08:13	ga_ls8c_ard_3-0-0_099067_2018-07-05_final
2018-08-04 10:27:12	ga_ls8c_ard_3-0-0_101083_2018-08-04_final
2018-08-05 11:09:17	ga_ls8c_ard_3-0-0_108080_2018-08-05_final
2018-08-09 09:06:06	ga_ls8c_ard_3-1-0_088081_2018-08-08_final
2018-10-02 11:45:34	ga_ls8c_ard_3-0-0_114077_2018-10-02_final
2018-10-09 10:13:19	ga_ls8c_ard_3-0-0_099078_2018-10-09_final
2018-11-27 12:31:12	ga_ls8c_ard_3-2-1_122067_2018-11-27_final
2018-12-09 09:39:43	ga_ls8c_ard_3-0-0_094071_2018-12-09_final
2018-12-20 09:27:33	ga_ls8c_ard_3-0-0_091087_2018-12-19_final
2019-04-23 09:45:24	ga_ls8c_ard_3-0-0_095071_2019-04-23_final
2019-05-02 11:19:44	ga_ls8c_ard_3-0-0_110075_2019-05-02_final
2019-07-10 11:37:35	ga_ls8c_ard_3-1-0_113072_2019-07-10_final
2019-07-28 09:52:01	ga_ls8c_ard_3-1-0_095086_2019-07-28_final
2019-08-13 09:52:07	ga_ls8c_ard_3-1-0_095086_2019-08-13_final
2019-09-25 11:07:52	ga_ls8c_ard_3-1-0_108074_2019-09-25_final
2019-09-27 10:55:55	ga_ls8c_ard_3-1-0_106075_2019-09-27_final
2019-10-22 09:11:43	ga_ls8c_ard_3-1-0_089077_2019-10-21_final
2020-01-02 11:37:52	ga_ls8c_ard_3-1-0_113072_2020-01-02_final
2020-08-31 11:24:14	ga_ls8c_ard_3-1-0_111069_2020-08-31_final
2020-09-10 10:27:17	ga_ls8c_ard_3-1-0_101081_2020-09-10_final
2020-12-21 11:24:01	ga_ls8c_ard_3-2-0_111068_2020-12-21_final
2021-01-24 11:14:16	ga_ls8c_ard_3-2-0_109075_2021-01-24_final
2021-02-12 10:05:02	ga_ls8c_ard_3-2-0_098072_2021-02-12_final
2021-03-04 11:18:16	ga_ls8c_ard_3-2-0_110070_2021-03-04_final
2021-03-20 11:16:56	ga_ls8c_ard_3-2-0_110067_2021-03-20_final
2021-04-08 10:16:03	ga_ls8c_ard_3-2-0_099085_2021-04-08_final
2021-06-21 10:48:52	ga_ls8c_ard_3-2-0_105074_2021-06-21_final
2021-06-24 09:38:06	ga_ls8c_ard_3-2-0_094067_2021-06-24_final
2021-07-13 10:15:01	ga_ls8c_ard_3-2-0_099082_2021-07-13_final
2021-09-05 11:11:59	ga_ls8c_ard_3-2-0_109069_2021-09-05_final
2021-10-01 10:14:40	ga_ls8c_ard_3-2-0_099080_2021-10-01_final
2021-11-28 09:10:29	ga_ls8c_ard_3-2-0_089074_2021-11-27_final
2021-12-04 10:11:29	ga_ls8c_ard_3-2-0_099072_2021-12-04_final
2021-12-24 11:24:24	ga_ls8c_ard_3-2-1_111069_2021-12-24_final
2022-01-22 09:17:17	ga_ls8c_ard_3-2-1_090076_2022-01-21_final
2022-01-25 09:50:57	ga_ls8c_ard_3-2-1_095083_2022-01-25_final
2022-03-14 11:24:26	ga_ls8c_ard_3-2-1_111070_2022-03-14_final
2022-04-05 10:51:57	ga_ls8c_ard_3-2-1_105082_2022-04-05_final
2022-04-13 09:57:00	ga_ls8c_ard_3-2-1_097068_2022-04-13_final
2022-06-24 10:49:38	ga_ls8c_ard_3-2-1_105075_2022-06-24_final
2022-09-19 09:23:20	ga_ls8c_ard_3-2-1_090090_2022-09-18_final
2023-02-13 11:27:58	ga_ls8c_ard_3-2-1_111078_2023-02-13_final
2023-02-15 11:14:23	ga_ls8c_ard_3-2-1_109075_2023-02-15_final
2023-02-16 10:21:57	ga_ls8c_ard_3-2-1_100083_2023-02-16_final
2023-05-13 11:21:11	ga_ls8c_ard_3-2-1_110079_2023-05-13_final
2023-06-13 10:38:53	ga_ls8c_ard_3-2-1_103081_2023-06-13_final
2023-11-04 10:39:38	ga_ls8c_ard_3-2-1_103081_2023-11-04_final
2023-12-10 10:13:39	ga_ls8c_ard_3-2-1_099078_2023-12-10_final
2024-02-18 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-18_final
2024-02-28 10:13:07	ga_ls8c_ard_3-2-1_099077_2024-02-28_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