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

96 results

Time (local)	Label
2013-03-28 09:15:53	ga_ls8c_ard_3-0-0_090077_2013-03-27_final
2013-04-03 09:53:48	ga_ls8c_ard_3-0-0_095086_2013-04-03_final
2013-04-17 09:33:40	ga_ls8c_ard_3-0-0_092082_2013-04-17_final
2014-02-11 09:58:40	ga_ls8c_ard_3-0-0_096085_2014-02-11_final
2014-04-06 10:53:45	ga_ls8c_ard_3-0-0_106070_2014-04-06_final
2014-04-07 10:02:06	ga_ls8c_ard_3-0-0_097080_2014-04-07_final
2014-05-08 10:54:24	ga_ls8c_ard_3-0-0_106073_2014-05-08_final
2014-05-20 11:23:25	ga_ls8c_ard_3-0-0_110084_2014-05-20_final
2014-06-05 09:39:52	ga_ls8c_ard_3-0-0_094072_2014-06-05_final
2014-06-12 11:22:59	ga_ls8c_ard_3-0-0_111067_2014-06-12_final
2014-06-12 11:24:11	ga_ls8c_ard_3-0-0_111070_2014-06-12_final
2014-08-19 09:23:45	ga_ls8c_ard_3-0-0_091077_2014-08-18_final
2014-09-23 11:30:46	ga_ls8c_ard_3-0-0_112070_2014-09-23_final
2014-10-02 11:24:15	ga_ls8c_ard_3-0-0_111069_2014-10-02_final
2014-11-05 11:16:20	ga_ls8c_ard_3-0-0_109080_2014-11-05_final
2015-01-15 11:23:32	ga_ls8c_ard_3-0-0_110083_2015-01-15_final
2015-01-31 11:23:51	ga_ls8c_ard_3-0-0_110084_2015-01-31_final
2015-04-28 11:23:22	ga_ls8c_ard_3-0-0_111069_2015-04-28_final
2015-07-17 09:46:22	ga_ls8c_ard_3-0-0_095073_2015-07-17_final
2015-12-07 09:07:16	ga_ls8c_ard_3-0-0_088082_2015-12-06_final
2016-01-29 10:59:50	ga_ls8c_ard_3-0-0_107070_2016-01-29_final
2016-07-30 09:32:16	ga_ls8c_ard_3-0-0_092083_2016-07-30_final
2016-10-31 10:36:12	ga_ls8c_ard_3-0-0_103072_2016-10-31_final
2016-11-09 10:33:59	ga_ls8c_ard_3-0-0_102082_2016-11-09_final
2016-11-11 10:17:38	ga_ls8c_ard_3-0-0_100072_2016-11-11_final
2016-12-14 09:22:22	ga_ls8c_ard_3-0-0_091073_2016-12-13_final
2016-12-28 11:11:58	ga_ls8c_ard_3-0-0_109069_2016-12-28_final
2017-01-30 10:17:22	ga_ls8c_ard_3-0-0_100072_2017-01-30_final
2017-02-14 11:14:04	ga_ls8c_ard_3-1-0_109075_2017-02-14_final
2017-04-01 11:24:04	ga_ls8c_ard_3-0-0_111070_2017-04-01_final
2017-04-26 09:43:33	ga_ls8c_ard_3-0-0_094082_2017-04-26_final
2017-05-08 11:45:10	ga_ls8c_ard_3-0-0_114077_2017-05-08_final
2017-05-09 09:11:52	ga_ls8c_ard_3-0-0_089080_2017-05-08_final
2017-11-12 10:28:20	ga_ls8c_ard_3-0-0_102068_2017-11-12_final
2017-11-17 09:16:21	ga_ls8c_ard_3-0-0_089089_2017-11-16_final
2017-12-04 11:32:25	ga_ls8c_ard_3-0-0_112074_2017-12-04_final
2018-01-27 10:53:31	ga_ls8c_ard_3-0-0_106070_2018-01-27_final
2018-06-16 09:39:55	ga_ls8c_ard_3-0-0_094074_2018-06-16_final
2018-07-08 10:45:08	ga_ls8c_ard_3-0-0_104082_2018-07-08_final
2018-07-22 10:52:00	ga_ls8c_ard_3-0-0_106068_2018-07-22_final
2018-08-17 09:57:37	ga_ls8c_ard_3-0-0_096086_2018-08-17_final
2018-12-10 10:27:21	ga_ls8c_ard_3-0-0_101082_2018-12-10_final
2019-01-09 10:35:42	ga_ls8c_ard_3-0-0_103072_2019-01-09_final
2019-01-17 11:24:43	ga_ls8c_ard_3-0-0_111071_2019-01-17_final
2019-01-21 09:23:29	ga_ls8c_ard_3-0-0_091077_2019-01-20_final
2019-02-21 10:21:25	ga_ls8c_ard_3-0-0_100083_2019-02-21_final
2019-03-02 10:10:00	ga_ls8c_ard_3-0-0_099070_2019-03-02_final
2019-04-29 09:11:55	ga_ls8c_ard_3-0-0_089080_2019-04-28_final
2019-06-01 09:56:42	ga_ls8c_ard_3-0-0_096083_2019-06-01_final
2019-08-11 09:59:16	ga_ls8c_ard_3-1-0_097073_2019-08-11_final
2019-10-19 10:20:30	ga_ls8c_ard_3-1-0_100079_2019-10-19_final
2019-11-15 11:38:00	ga_ls8c_ard_3-1-0_113072_2019-11-15_final
2019-12-28 09:41:16	ga_ls8c_ard_3-1-0_094074_2019-12-28_final
2019-12-31 10:09:45	ga_ls8c_ard_3-1-0_099068_2019-12-31_final
2020-03-28 09:22:13	ga_ls8c_ard_3-1-0_091074_2020-03-27_final
2020-04-13 09:23:17	ga_ls8c_ard_3-1-0_091077_2020-04-12_final
2020-04-13 09:24:29	ga_ls8c_ard_3-1-0_091080_2020-04-12_final
2020-05-04 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-04_final
2020-05-08 10:53:47	ga_ls8c_ard_3-1-0_106072_2020-05-08_final
2020-05-28 10:29:31	ga_ls8c_ard_3-1-0_102073_2020-05-28_final
2020-06-17 10:07:48	ga_ls8c_ard_3-1-0_098080_2020-06-17_final
2020-08-20 11:45:29	ga_ls8c_ard_3-1-0_114076_2020-08-20_final
2020-08-31 09:45:45	ga_ls8c_ard_3-1-0_095070_2020-08-31_final
2020-08-31 09:52:08	ga_ls8c_ard_3-1-0_095086_2020-08-31_final
2020-09-02 11:14:17	ga_ls8c_ard_3-1-0_109075_2020-09-02_final
2020-11-19 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-11-19_final
2020-12-01 11:51:33	ga_ls8c_ard_3-1-0_115075_2020-12-01_final
2021-01-28 10:47:57	ga_ls8c_ard_3-2-0_105071_2021-01-28_final
2021-06-15 11:23:56	ga_ls8c_ard_3-2-0_111069_2021-06-15_final
2021-06-21 10:49:16	ga_ls8c_ard_3-2-0_105075_2021-06-21_final
2021-08-22 09:25:27	ga_ls8c_ard_3-2-0_091081_2021-08-21_final
2021-08-26 10:36:02	ga_ls8c_ard_3-2-0_103072_2021-08-26_final
2021-11-26 09:22:26	ga_ls8c_ard_3-2-0_091073_2021-11-25_final
2021-12-03 11:06:43	ga_ls8c_ard_3-2-0_108071_2021-12-03_final
2021-12-14 09:10:52	ga_ls8c_ard_3-2-1_089075_2021-12-13_final
2022-02-03 09:45:57	ga_ls8c_ard_3-2-1_094086_2022-02-03_final
2022-04-02 11:58:19	ga_ls8c_ard_3-2-1_116078_2022-04-02_final
2022-07-04 09:52:14	ga_ls8c_ard_3-2-1_095086_2022-07-04_final
2022-09-06 11:25:27	ga_ls8c_ard_3-2-1_111071_2022-09-06_final
2022-10-22 10:04:09	ga_ls8c_ard_3-2-1_097084_2022-10-22_final
2022-12-09 10:01:42	ga_ls8c_ard_3-2-1_097078_2022-12-09_final
2022-12-11 09:47:44	ga_ls8c_ard_3-2-1_095074_2022-12-11_final
2023-01-24 11:53:09	ga_ls8c_ard_3-2-1_115079_2023-01-24_final
2023-02-13 11:25:35	ga_ls8c_ard_3-2-1_111072_2023-02-13_final
2023-03-29 11:53:01	ga_ls8c_ard_3-2-1_115080_2023-03-29_final
2023-04-09 09:51:24	ga_ls8c_ard_3-2-1_096070_2023-04-09_final
2023-06-23 11:13:36	ga_ls8c_ard_3-2-1_109075_2023-06-23_final
2023-06-27 09:10:52	ga_ls8c_ard_3-2-1_089077_2023-06-26_final
2023-08-13 10:02:26	ga_ls8c_ard_3-2-1_098066_2023-08-13_final
2023-08-27 10:18:06	ga_ls8c_ard_3-2-1_100074_2023-08-27_final
2023-09-15 09:11:46	ga_ls8c_ard_3-2-1_089078_2023-09-14_final
2023-10-07 10:14:03	ga_ls8c_ard_3-2-1_099079_2023-10-07_final
2023-10-21 10:25:14	ga_ls8c_ard_3-2-1_101076_2023-10-21_final
2023-12-16 11:14:43	ga_ls8c_ard_3-2-1_109076_2023-12-16_final
2024-01-06 11:32:21	ga_ls8c_ard_3-2-1_112074_2024-01-06_final
2024-01-22 11:36:20	ga_ls8c_ard_3-2-1_112084_2024-01-22_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years