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

78 results

Time (local)	Label
2013-11-13 09:19:13	ga_ls8c_ard_3-0-0_090077_2013-11-12_final
2014-01-11 10:40:41	ga_ls8c_ard_3-0-0_103081_2014-01-11_final
2014-03-24 11:24:26	ga_ls8c_ard_3-0-0_111069_2014-03-24_final
2014-03-24 11:24:50	ga_ls8c_ard_3-0-0_111070_2014-03-24_final
2014-04-04 09:28:51	ga_ls8c_ard_3-0-0_092074_2014-04-03_final
2014-05-02 09:50:18	ga_ls8c_ard_3-0-0_096067_2014-05-02_final
2014-11-12 09:40:27	ga_ls8c_ard_3-0-0_094072_2014-11-12_final
2015-01-01 09:28:41	ga_ls8c_ard_3-0-0_092074_2014-12-31_final
2015-02-03 11:52:45	ga_ls8c_ard_3-0-0_115079_2015-02-03_final
2015-07-12 09:28:11	ga_ls8c_ard_3-0-0_092074_2015-07-11_final
2015-08-06 09:26:53	ga_ls8c_ard_3-0-0_091086_2015-08-05_final
2015-08-09 11:29:31	ga_ls8c_ard_3-0-0_112068_2015-08-09_final
2015-12-01 11:18:04	ga_ls8c_ard_3-0-0_110069_2015-12-01_final
2015-12-17 09:40:22	ga_ls8c_ard_3-0-0_094072_2015-12-17_final
2016-02-06 10:13:32	ga_ls8c_ard_3-0-0_099078_2016-02-06_final
2016-03-24 09:28:24	ga_ls8c_ard_3-0-0_092074_2016-03-23_final
2016-06-10 11:18:00	ga_ls8c_ard_3-0-0_110070_2016-06-10_final
2016-07-25 09:16:06	ga_ls8c_ard_3-0-0_089089_2016-07-24_final
2016-11-15 09:50:55	ga_ls8c_ard_3-0-0_096067_2016-11-15_final
2016-11-19 09:29:24	ga_ls8c_ard_3-0-0_092075_2016-11-18_final
2017-06-27 09:50:21	ga_ls8c_ard_3-0-0_096067_2017-06-27_final
2017-08-09 09:34:27	ga_ls8c_ard_3-0-0_093073_2017-08-09_final
2017-08-30 11:32:22	ga_ls8c_ard_3-0-0_112074_2017-08-30_final
2017-11-08 09:17:23	ga_ls8c_ard_3-0-0_090076_2017-11-07_final
2017-12-08 09:28:48	ga_ls8c_ard_3-0-0_092074_2017-12-07_final
2017-12-13 11:24:39	ga_ls8c_ard_3-0-0_111070_2017-12-13_final
2018-03-16 09:21:51	ga_ls8c_ard_3-0-0_090089_2018-03-15_final
2018-03-16 10:55:08	ga_ls8c_ard_3-0-0_106075_2018-03-16_final
2018-06-29 09:09:09	ga_ls8c_ard_3-0-0_089074_2018-06-28_final
2018-09-01 10:51:45	ga_ls8c_ard_3-0-0_105082_2018-09-01_final
2018-11-25 11:07:52	ga_ls8c_ard_3-0-0_108075_2018-11-25_final
2018-12-29 10:52:40	ga_ls8c_ard_3-0-0_106068_2018-12-29_final
2019-01-31 10:00:56	ga_ls8c_ard_3-0-0_097078_2019-01-31_final
2019-03-02 10:12:48	ga_ls8c_ard_3-0-0_099077_2019-03-02_final
2019-03-18 10:09:55	ga_ls8c_ard_3-1-0_099070_2019-03-18_final
2019-07-15 10:21:14	ga_ls8c_ard_3-1-0_100082_2019-07-15_final
2019-08-03 09:11:23	ga_ls8c_ard_3-1-0_089077_2019-08-02_final
2019-11-19 09:34:46	ga_ls8c_ard_3-1-0_093073_2019-11-19_final
2019-12-28 09:40:28	ga_ls8c_ard_3-1-0_094072_2019-12-28_final
2020-02-28 11:31:26	ga_ls8c_ard_3-1-0_112072_2020-02-28_final
2020-03-17 11:19:45	ga_ls8c_ard_3-1-0_110074_2020-03-17_final
2020-03-21 10:55:23	ga_ls8c_ard_3-1-0_106075_2020-03-21_final
2020-06-22 10:27:11	ga_ls8c_ard_3-1-0_101082_2020-06-22_final
2020-08-11 10:09:54	ga_ls8c_ard_3-1-0_099069_2020-08-11_final
2020-09-12 10:14:09	ga_ls8c_ard_3-1-0_099079_2020-09-12_final
2020-10-20 09:34:23	ga_ls8c_ard_3-1-0_093072_2020-10-20_final
2020-12-30 11:17:24	ga_ls8c_ard_3-2-0_110067_2020-12-30_final
2021-01-19 09:17:14	ga_ls8c_ard_3-2-0_090076_2021-01-18_final
2021-02-11 11:01:04	ga_ls8c_ard_3-2-0_107073_2021-02-11_final
2021-02-25 11:14:08	ga_ls8c_ard_3-2-0_109075_2021-02-25_final
2021-03-17 10:46:50	ga_ls8c_ard_3-2-0_105069_2021-03-17_final
2021-03-29 09:34:14	ga_ls8c_ard_3-2-0_093073_2021-03-29_final
2021-04-13 10:33:22	ga_ls8c_ard_3-2-0_102082_2021-04-13_final
2021-05-30 11:24:13	ga_ls8c_ard_3-2-0_111070_2021-05-30_final
2021-07-23 10:48:59	ga_ls8c_ard_3-2-0_105074_2021-07-23_final
2021-08-04 11:14:12	ga_ls8c_ard_3-2-0_109075_2021-08-04_final
2021-10-18 10:56:01	ga_ls8c_ard_3-2-0_106075_2021-10-18_final
2022-02-22 10:13:09	ga_ls8c_ard_3-2-1_099077_2022-02-22_final
2022-03-21 11:31:20	ga_ls8c_ard_3-2-1_112072_2022-03-21_final
2022-08-20 09:07:40	ga_ls8c_ard_3-2-1_088082_2022-08-19_final
2022-09-01 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-08-31_final
2022-09-18 10:10:34	ga_ls8c_ard_3-2-1_099069_2022-09-18_final
2022-11-29 09:23:26	ga_ls8c_ard_3-2-1_091075_2022-11-28_final
2022-11-30 10:10:18	ga_ls8c_ard_3-2-1_098084_2022-11-30_final
2022-12-22 09:28:15	ga_ls8c_ard_3-2-1_092072_2022-12-21_final
2022-12-31 11:01:47	ga_ls8c_ard_3-2-1_107074_2022-12-31_final
2023-02-01 11:01:21	ga_ls8c_ard_3-2-1_107073_2023-02-01_final
2023-02-04 11:31:51	ga_ls8c_ard_3-2-1_112072_2023-02-04_final
2023-02-19 10:50:00	ga_ls8c_ard_3-2-1_105076_2023-02-19_final
2023-03-26 11:19:44	ga_ls8c_ard_3-2-1_110074_2023-03-26_final
2023-04-03 10:33:00	ga_ls8c_ard_3-2-1_102081_2023-04-03_final
2023-06-23 11:13:12	ga_ls8c_ard_3-2-1_109074_2023-06-23_final
2023-10-22 09:28:01	ga_ls8c_ard_3-2-1_092072_2023-10-21_final
2023-11-07 09:28:50	ga_ls8c_ard_3-2-1_092074_2023-11-06_final
2024-02-18 09:33:43	ga_ls8c_ard_3-2-1_093071_2024-02-18_final
2024-02-22 10:47:28	ga_ls8c_ard_3-2-1_105070_2024-02-22_final
2024-03-09 10:49:16	ga_ls8c_ard_3-2-1_105075_2024-03-09_final
2024-04-13 09:39:47	ga_ls8c_ard_3-2-1_094072_2024-04-13_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