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

81 results

Time (local)	Label
2013-07-24 10:56:21	ga_ls8c_ard_3-0-0_106072_2013-07-24_final
2013-09-25 10:12:36	ga_ls8c_ard_3-0-0_099071_2013-09-25_final
2013-11-17 10:35:20	ga_ls8c_ard_3-0-0_102082_2013-11-17_final
2014-04-13 09:27:42	ga_ls8c_ard_3-0-0_091087_2014-04-12_final
2014-05-09 11:35:16	ga_ls8c_ard_3-0-0_113067_2014-05-09_final
2014-05-27 09:43:57	ga_ls8c_ard_3-0-0_095067_2014-05-27_final
2014-08-16 10:30:32	ga_ls8c_ard_3-0-0_102074_2014-08-16_final
2014-10-28 10:24:52	ga_ls8c_ard_3-0-0_101075_2014-10-28_final
2015-01-18 11:52:24	ga_ls8c_ard_3-0-0_115078_2015-01-18_final
2015-02-21 11:35:28	ga_ls8c_ard_3-0-0_113067_2015-02-21_final
2015-06-13 09:56:02	ga_ls8c_ard_3-0-0_097067_2015-06-13_final
2015-08-23 10:03:07	ga_ls8c_ard_3-0-0_098068_2015-08-23_final
2015-10-27 09:11:25	ga_ls8c_ard_3-0-0_089077_2015-10-26_final
2016-11-13 11:42:10	ga_ls8c_ard_3-0-0_114067_2016-11-13_final
2016-12-17 11:30:56	ga_ls8c_ard_3-0-0_112070_2016-12-17_final
2017-01-17 10:47:09	ga_ls8c_ard_3-0-0_105069_2017-01-17_final
2017-04-05 09:19:38	ga_ls8c_ard_3-0-0_091068_2017-04-04_final
2017-04-16 10:39:53	ga_ls8c_ard_3-0-0_104068_2017-04-16_final
2017-05-10 11:31:14	ga_ls8c_ard_3-0-0_112073_2017-05-10_final
2017-07-27 11:41:46	ga_ls8c_ard_3-0-0_114067_2017-07-27_final
2017-08-08 10:33:40	ga_ls8c_ard_3-0-0_102082_2017-08-08_final
2017-11-05 10:28:10	ga_ls8c_ard_3-0-0_101083_2017-11-05_final
2017-11-07 10:14:12	ga_ls8c_ard_3-0-0_099079_2017-11-07_final
2017-11-16 10:03:59	ga_ls8c_ard_3-0-0_098069_2017-11-16_final
2017-11-16 10:10:22	ga_ls8c_ard_3-0-0_098085_2017-11-16_final
2017-12-19 10:46:48	ga_ls8c_ard_3-0-0_105068_2017-12-19_final
2018-01-07 09:40:20	ga_ls8c_ard_3-0-0_094072_2018-01-07_final
2018-01-08 10:27:59	ga_ls8c_ard_3-0-0_101083_2018-01-08_final
2018-02-17 09:35:02	ga_ls8c_ard_3-0-0_093075_2018-02-17_final
2018-04-16 10:12:49	ga_ls8c_ard_3-0-0_099078_2018-04-16_final
2018-05-19 10:57:20	ga_ls8c_ard_3-0-0_106082_2018-05-19_final
2018-06-28 10:08:46	ga_ls8c_ard_3-0-0_098084_2018-06-28_final
2018-07-06 09:17:48	ga_ls8c_ard_3-0-0_090080_2018-07-05_final
2018-08-10 11:24:40	ga_ls8c_ard_3-0-0_111072_2018-08-10_final
2018-09-17 09:11:21	ga_ls8c_ard_3-0-0_089078_2018-09-16_final
2019-01-15 11:35:29	ga_ls8c_ard_3-0-0_113067_2019-01-15_final
2019-05-27 11:13:25	ga_ls8c_ard_3-0-0_109074_2019-05-27_final
2019-05-31 09:11:50	ga_ls8c_ard_3-0-0_089079_2019-05-30_final
2019-09-18 09:23:58	ga_ls8c_ard_3-1-0_091077_2019-09-17_final
2019-09-25 09:34:11	ga_ls8c_ard_3-1-0_092087_2019-09-25_final
2019-11-28 09:28:11	ga_ls8c_ard_3-1-0_092072_2019-11-27_final
2019-12-01 10:04:16	ga_ls8c_ard_3-1-0_097085_2019-12-01_final
2019-12-03 09:44:44	ga_ls8c_ard_3-1-0_095067_2019-12-03_final
2020-02-02 10:52:52	ga_ls8c_ard_3-1-0_106068_2020-02-02_final
2020-02-03 11:38:31	ga_ls8c_ard_3-1-0_113074_2020-02-03_final
2020-02-10 10:04:36	ga_ls8c_ard_3-1-0_098071_2020-02-10_final
2020-04-02 11:18:23	ga_ls8c_ard_3-1-0_110071_2020-04-02_final
2020-04-15 09:12:55	ga_ls8c_ard_3-1-0_089082_2020-04-14_final
2020-08-05 09:12:05	ga_ls8c_ard_3-1-0_089079_2020-08-04_final
2020-08-18 11:58:37	ga_ls8c_ard_3-1-0_116078_2020-08-18_final
2020-08-21 09:12:59	ga_ls8c_ard_3-1-0_089081_2020-08-20_final
2020-09-23 09:57:39	ga_ls8c_ard_3-1-0_096084_2020-09-23_final
2020-10-11 09:45:45	ga_ls8c_ard_3-1-0_094085_2020-10-11_final
2020-10-24 10:47:20	ga_ls8c_ard_3-1-0_105069_2020-10-24_final
2021-01-04 11:41:54	ga_ls8c_ard_3-2-0_113082_2021-01-04_final
2021-01-11 10:07:33	ga_ls8c_ard_3-2-0_098078_2021-01-11_final
2021-08-20 11:14:18	ga_ls8c_ard_3-2-0_109075_2021-08-20_final
2021-10-26 10:04:35	ga_ls8c_ard_3-2-0_098070_2021-10-26_final
2021-11-28 09:12:28	ga_ls8c_ard_3-2-0_089079_2021-11-27_final
2021-12-31 11:32:31	ga_ls8c_ard_3-2-1_112074_2021-12-31_final
2022-01-03 10:26:08	ga_ls8c_ard_3-2-1_101078_2022-01-03_final
2022-05-04 10:16:44	ga_ls8c_ard_3-2-1_100071_2022-05-04_final
2022-05-23 10:48:57	ga_ls8c_ard_3-2-1_105074_2022-05-23_final
2022-10-03 11:08:58	ga_ls8c_ard_3-2-1_108076_2022-10-03_final
2022-10-11 10:21:26	ga_ls8c_ard_3-2-1_100081_2022-10-11_final
2022-11-20 09:33:11	ga_ls8c_ard_3-2-1_092084_2022-11-20_final
2022-12-21 10:25:53	ga_ls8c_ard_3-2-1_101077_2022-12-21_final
2023-01-26 09:57:56	ga_ls8c_ard_3-2-1_097069_2023-01-26_final
2023-02-26 09:20:45	ga_ls8c_ard_3-2-1_090085_2023-02-25_final
2023-03-29 11:52:13	ga_ls8c_ard_3-2-1_115078_2023-03-29_final
2023-03-31 09:59:21	ga_ls8c_ard_3-2-1_097074_2023-03-31_final
2023-04-01 09:06:31	ga_ls8c_ard_3-2-1_088081_2023-03-31_final
2023-05-25 10:04:15	ga_ls8c_ard_3-2-1_098072_2023-05-25_final
2023-06-09 09:23:05	ga_ls8c_ard_3-2-1_091077_2023-06-08_final
2023-07-24 10:33:00	ga_ls8c_ard_3-2-1_102081_2023-07-24_final
2023-08-12 09:28:44	ga_ls8c_ard_3-2-1_091090_2023-08-11_final
2023-10-09 11:42:11	ga_ls8c_ard_3-2-1_113083_2023-10-09_final
2023-10-15 09:26:38	ga_ls8c_ard_3-2-1_091084_2023-10-14_final
2023-10-15 09:26:38	ga_ls8c_ard_3-2-1_091084_2023-10-14_nrt
2023-12-10 10:09:39	ga_ls8c_ard_3-2-1_099068_2023-12-10_final
2024-01-27 11:50:48	ga_ls8c_ard_3-2-1_115074_2024-01-27_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