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

88 results

Time (local)	Label
2013-04-26 11:03:31	ga_ls8c_ard_3-0-0_107075_2013-04-26_final
2013-05-17 09:41:49	ga_ls8c_ard_3-0-0_094071_2013-05-17_final
2013-11-05 10:09:53	ga_ls8c_ard_3-0-0_098080_2013-11-05_final
2014-03-28 09:23:31	ga_ls8c_ard_3-0-0_091076_2014-03-27_final
2014-04-15 10:46:35	ga_ls8c_ard_3-0-0_105068_2014-04-15_final
2014-06-17 11:41:33	ga_ls8c_ard_3-0-0_114067_2014-06-17_final
2014-10-25 11:30:53	ga_ls8c_ard_3-0-0_112070_2014-10-25_final
2014-11-01 09:57:21	ga_ls8c_ard_3-0-0_097068_2014-11-01_final
2014-11-17 11:38:39	ga_ls8c_ard_3-0-0_113074_2014-11-17_final
2014-11-18 09:07:19	ga_ls8c_ard_3-0-0_088082_2014-11-17_final
2014-12-21 11:25:01	ga_ls8c_ard_3-0-0_111071_2014-12-21_final
2015-01-11 10:08:11	ga_ls8c_ard_3-0-0_098080_2015-01-11_final
2015-04-30 11:16:34	ga_ls8c_ard_3-0-0_109083_2015-04-30_final
2015-10-01 11:52:01	ga_ls8c_ard_3-0-0_115077_2015-10-01_final
2015-10-05 09:46:01	ga_ls8c_ard_3-0-0_095071_2015-10-05_final
2015-10-17 11:51:13	ga_ls8c_ard_3-0-0_115075_2015-10-17_final
2016-01-03 10:27:34	ga_ls8c_ard_3-0-0_101082_2016-01-03_final
2016-02-22 10:15:24	ga_ls8c_ard_3-0-0_099083_2016-02-22_final
2016-03-08 09:28:56	ga_ls8c_ard_3-0-0_092075_2016-03-07_final
2016-04-26 10:08:39	ga_ls8c_ard_3-0-0_099067_2016-04-26_final
2016-06-17 09:46:30	ga_ls8c_ard_3-0-0_095073_2016-06-17_final
2016-07-01 09:57:01	ga_ls8c_ard_3-0-0_097068_2016-07-01_final
2016-07-04 10:29:56	ga_ls8c_ard_3-0-0_102073_2016-07-04_final
2016-07-07 11:03:15	ga_ls8c_ard_3-0-0_107079_2016-07-07_final
2016-09-23 09:40:16	ga_ls8c_ard_3-0-0_093087_2016-09-23_final
2016-09-26 10:07:10	ga_ls8c_ard_3-0-0_098077_2016-09-26_final
2016-12-18 10:34:30	ga_ls8c_ard_3-0-0_103068_2016-12-18_final
2017-01-08 10:54:35	ga_ls8c_ard_3-0-0_106072_2017-01-08_final
2017-02-15 10:16:51	ga_ls8c_ard_3-0-0_100071_2017-02-15_final
2017-03-30 09:56:45	ga_ls8c_ard_3-0-0_097068_2017-03-30_final
2017-04-07 09:12:51	ga_ls8c_ard_3-0-0_089082_2017-04-06_final
2017-04-27 10:25:12	ga_ls8c_ard_3-0-0_101078_2017-04-27_final
2017-06-22 09:40:10	ga_ls8c_ard_3-0-0_093088_2017-06-22_final
2017-07-08 09:33:50	ga_ls8c_ard_3-0-0_093072_2017-07-08_final
2017-07-13 09:56:47	ga_ls8c_ard_3-0-0_096083_2017-07-13_final
2017-12-24 09:32:51	ga_ls8c_ard_3-0-0_092084_2017-12-24_final
2017-12-30 10:33:49	ga_ls8c_ard_3-0-0_102082_2017-12-30_final
2018-01-11 09:17:35	ga_ls8c_ard_3-0-0_090077_2018-01-10_final
2018-01-14 11:26:33	ga_ls8c_ard_3-0-0_111075_2018-01-14_final
2018-02-15 11:25:30	ga_ls8c_ard_3-0-0_111073_2018-02-15_final
2018-03-17 09:56:43	ga_ls8c_ard_3-0-0_097068_2018-03-17_final
2018-05-11 10:09:12	ga_ls8c_ard_3-0-0_098085_2018-05-11_final
2018-05-12 10:48:51	ga_ls8c_ard_3-0-0_105076_2018-05-12_final
2018-06-20 09:16:27	ga_ls8c_ard_3-0-0_090077_2018-06-19_final
2018-07-17 10:37:01	ga_ls8c_ard_3-0-0_103077_2018-07-17_final
2018-07-21 10:09:08	ga_ls8c_ard_3-0-0_099069_2018-07-21_final
2018-10-03 10:48:45	ga_ls8c_ard_3-0-0_105074_2018-10-03_final
2018-11-16 11:14:04	ga_ls8c_ard_3-0-0_109075_2018-11-16_final
2018-12-16 11:23:58	ga_ls8c_ard_3-0-0_111069_2018-12-16_final
2019-01-04 10:21:34	ga_ls8c_ard_3-0-0_100083_2019-01-04_final
2019-03-24 09:38:24	ga_ls8c_ard_3-1-0_093084_2019-03-24_final
2019-05-02 09:45:14	ga_ls8c_ard_3-0-0_094086_2019-05-02_final
2019-05-04 09:28:06	ga_ls8c_ard_3-0-0_092074_2019-05-03_final
2019-05-10 10:32:46	ga_ls8c_ard_3-0-0_102081_2019-05-10_final
2019-09-04 09:11:55	ga_ls8c_ard_3-1-0_089078_2019-09-03_final
2020-02-16 11:07:34	ga_ls8c_ard_3-1-0_108074_2020-02-16_final
2020-02-23 11:13:43	ga_ls8c_ard_3-1-0_109074_2020-02-23_final
2020-04-05 10:15:35	ga_ls8c_ard_3-1-0_099084_2020-04-05_final
2020-04-25 11:29:12	ga_ls8c_ard_3-1-0_111083_2020-04-25_final
2020-06-12 11:29:42	ga_ls8c_ard_3-1-0_111084_2020-06-12_final
2020-06-14 09:31:41	ga_ls8c_ard_3-1-0_093067_2020-06-14_final
2020-10-14 10:11:28	ga_ls8c_ard_3-1-0_099072_2020-10-14_final
2020-10-31 09:23:00	ga_ls8c_ard_3-1-0_090090_2020-10-30_final
2020-12-07 09:34:24	ga_ls8c_ard_3-1-0_093072_2020-12-07_final
2021-01-28 09:13:03	ga_ls8c_ard_3-2-0_089081_2021-01-27_final
2021-06-26 09:33:20	ga_ls8c_ard_3-2-0_092086_2021-06-26_final
2021-06-30 10:42:19	ga_ls8c_ard_3-2-0_104073_2021-06-30_final
2021-08-31 09:22:31	ga_ls8c_ard_3-2-0_090089_2021-08-30_final
2021-11-03 10:53:36	ga_ls8c_ard_3-2-0_106069_2021-11-03_final
2021-11-12 09:14:29	ga_ls8c_ard_3-2-0_089084_2021-11-11_final
2021-11-13 09:57:44	ga_ls8c_ard_3-2-0_096084_2021-11-13_final
2022-02-01 11:32:24	ga_ls8c_ard_3-2-1_112074_2022-02-01_final
2022-02-07 09:22:01	ga_ls8c_ard_3-2-1_090088_2022-02-06_final
2022-02-16 09:13:23	ga_ls8c_ard_3-2-1_089082_2022-02-15_final
2022-03-09 09:34:14	ga_ls8c_ard_3-2-1_092088_2022-03-09_final
2022-03-18 10:59:40	ga_ls8c_ard_3-2-1_107070_2022-03-18_final
2022-07-01 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-07-01_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2022-12-16 10:10:12	ga_ls8c_ard_3-2-1_098084_2022-12-16_final
2022-12-21 10:25:53	ga_ls8c_ard_3-2-1_101077_2022-12-21_final
2023-01-24 10:11:05	ga_ls8c_ard_3-2-1_099071_2023-01-24_final
2023-06-14 09:39:41	ga_ls8c_ard_3-2-1_094072_2023-06-14_final
2023-07-04 09:16:20	ga_ls8c_ard_3-2-1_090075_2023-07-03_final
2023-09-27 09:38:57	ga_ls8c_ard_3-2-1_093084_2023-09-27_final
2023-11-19 09:58:24	ga_ls8c_ard_3-2-1_096086_2023-11-19_final
2023-12-01 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-12-01_final
2023-12-02 09:22:16	ga_ls8c_ard_3-2-1_091073_2023-12-01_final
2024-03-26 09:57:48	ga_ls8c_ard_3-2-1_096086_2024-03-26_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