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

89 results

Time (local)	Label
2013-06-06 09:22:44	ga_ls8c_ard_3-0-0_090085_2013-06-05_final
2013-08-30 09:36:29	ga_ls8c_ard_3-0-0_093073_2013-08-30_final
2013-11-01 10:34:59	ga_ls8c_ard_3-0-0_102081_2013-11-01_final
2014-06-05 09:37:52	ga_ls8c_ard_3-0-0_094067_2014-06-05_final
2014-06-24 10:15:14	ga_ls8c_ard_3-0-0_099083_2014-06-24_final
2014-11-16 10:52:36	ga_ls8c_ard_3-0-0_106067_2014-11-16_final
2015-01-13 09:56:13	ga_ls8c_ard_3-0-0_096081_2015-01-13_final
2015-01-23 10:33:12	ga_ls8c_ard_3-0-0_102081_2015-01-23_final
2015-06-27 10:10:04	ga_ls8c_ard_3-0-0_099071_2015-06-27_final
2015-07-08 09:57:15	ga_ls8c_ard_3-0-0_096085_2015-07-08_final
2015-08-20 09:33:47	ga_ls8c_ard_3-0-0_093072_2015-08-20_final
2015-09-12 09:38:08	ga_ls8c_ard_3-0-0_094067_2015-09-12_final
2015-10-15 10:27:53	ga_ls8c_ard_3-0-0_101083_2015-10-15_final
2015-11-11 10:07:26	ga_ls8c_ard_3-0-0_098078_2015-11-11_final
2015-11-22 09:45:45	ga_ls8c_ard_3-0-0_095070_2015-11-22_final
2016-01-01 10:39:56	ga_ls8c_ard_3-0-0_103082_2016-01-01_final
2016-01-11 09:34:07	ga_ls8c_ard_3-0-0_093072_2016-01-11_final
2016-04-07 09:45:50	ga_ls8c_ard_3-0-0_094087_2016-04-07_final
2016-04-09 09:27:29	ga_ls8c_ard_3-0-0_092072_2016-04-08_final
2016-05-06 09:15:43	ga_ls8c_ard_3-0-0_089089_2016-05-05_final
2016-06-14 09:22:23	ga_ls8c_ard_3-0-0_090090_2016-06-13_final
2016-07-11 10:39:22	ga_ls8c_ard_3-0-0_103081_2016-07-11_final
2016-07-28 11:19:55	ga_ls8c_ard_3-0-0_110074_2016-07-28_final
2016-08-21 10:30:34	ga_ls8c_ard_3-0-0_102074_2016-08-21_final
2016-09-17 11:51:26	ga_ls8c_ard_3-0-0_115075_2016-09-17_final
2016-09-18 10:52:38	ga_ls8c_ard_3-0-0_106067_2016-09-18_final
2016-11-04 10:13:52	ga_ls8c_ard_3-0-0_099078_2016-11-04_final
2017-01-29 09:33:43	ga_ls8c_ard_3-0-0_093071_2017-01-29_final
2017-02-26 11:37:31	ga_ls8c_ard_3-0-0_113072_2017-02-26_final
2017-03-10 10:27:15	ga_ls8c_ard_3-0-0_101082_2017-03-10_final
2017-03-23 11:35:29	ga_ls8c_ard_3-0-0_112083_2017-03-23_final
2017-04-24 11:35:37	ga_ls8c_ard_3-0-0_112084_2017-04-24_final
2017-08-29 09:15:00	ga_ls8c_ard_3-0-0_089086_2017-08-28_final
2017-11-06 09:28:57	ga_ls8c_ard_3-0-0_092074_2017-11-05_final
2017-11-12 10:28:20	ga_ls8c_ard_3-0-0_102068_2017-11-12_final
2017-11-18 09:57:36	ga_ls8c_ard_3-0-0_096084_2017-11-18_final
2018-01-02 09:22:14	ga_ls8c_ard_3-0-0_091073_2018-01-01_final
2018-01-27 10:58:43	ga_ls8c_ard_3-0-0_106083_2018-01-27_final
2018-02-04 10:05:36	ga_ls8c_ard_3-0-0_098074_2018-02-04_final
2018-02-10 09:28:30	ga_ls8c_ard_3-0-0_092074_2018-02-09_final
2018-05-17 09:32:50	ga_ls8c_ard_3-0-0_092087_2018-05-17_final
2018-06-18 11:09:16	ga_ls8c_ard_3-0-0_108081_2018-06-18_final
2018-07-16 11:34:14	ga_ls8c_ard_3-0-0_112081_2018-07-16_final
2018-08-07 10:54:56	ga_ls8c_ard_3-0-0_106075_2018-08-07_final
2018-09-01 10:49:21	ga_ls8c_ard_3-0-0_105076_2018-09-01_final
2018-10-02 10:09:53	ga_ls8c_ard_3-0-0_098085_2018-10-02_final
2018-10-10 09:16:54	ga_ls8c_ard_3-0-0_090076_2018-10-09_final
2018-10-24 09:28:33	ga_ls8c_ard_3-0-0_092074_2018-10-23_final
2018-12-04 09:23:35	ga_ls8c_ard_3-0-0_091077_2018-12-03_final
2019-03-24 11:13:42	ga_ls8c_ard_3-1-0_109075_2019-03-24_final
2019-11-14 10:55:56	ga_ls8c_ard_3-1-0_106075_2019-11-14_final
2019-12-30 11:06:59	ga_ls8c_ard_3-1-0_108072_2019-12-30_final
2020-01-10 09:11:55	ga_ls8c_ard_3-1-0_089078_2020-01-09_final
2020-01-10 10:47:12	ga_ls8c_ard_3-1-0_105069_2020-01-10_final
2020-03-24 09:45:23	ga_ls8c_ard_3-1-0_095070_2020-03-24_final
2020-04-30 10:02:49	ga_ls8c_ard_3-1-0_098068_2020-04-30_final
2020-05-04 09:44:51	ga_ls8c_ard_3-1-0_094085_2020-05-04_final
2020-06-09 10:55:34	ga_ls8c_ard_3-1-0_106076_2020-06-09_final
2020-08-17 11:13:45	ga_ls8c_ard_3-1-0_109074_2020-08-17_final
2020-08-20 11:41:53	ga_ls8c_ard_3-1-0_114067_2020-08-20_final
2020-09-02 11:12:41	ga_ls8c_ard_3-1-0_109071_2020-09-02_final
2020-09-18 09:34:18	ga_ls8c_ard_3-1-0_093072_2020-09-18_final
2020-10-04 09:35:34	ga_ls8c_ard_3-1-0_093075_2020-10-04_final
2020-11-21 09:34:21	ga_ls8c_ard_3-1-0_093072_2020-11-21_final
2020-12-07 09:34:00	ga_ls8c_ard_3-1-0_093071_2020-12-07_final
2021-01-20 11:38:35	ga_ls8c_ard_3-2-0_113074_2021-01-20_final
2021-01-22 11:24:14	ga_ls8c_ard_3-2-0_111069_2021-01-22_final
2021-02-11 11:01:04	ga_ls8c_ard_3-2-0_107073_2021-02-11_final
2021-02-16 11:18:47	ga_ls8c_ard_3-2-0_110071_2021-02-16_final
2021-03-01 10:46:36	ga_ls8c_ard_3-2-0_105068_2021-03-01_final
2021-03-27 11:24:17	ga_ls8c_ard_3-2-0_111070_2021-03-27_final
2021-04-27 10:42:01	ga_ls8c_ard_3-2-0_104073_2021-04-27_final
2021-05-05 11:30:10	ga_ls8c_ard_3-2-0_112070_2021-05-05_final
2021-06-15 11:25:55	ga_ls8c_ard_3-2-0_111074_2021-06-15_final
2021-07-13 10:15:25	ga_ls8c_ard_3-2-0_099083_2021-07-13_final
2022-06-02 09:50:00	ga_ls8c_ard_3-2-1_095081_2022-06-02_final
2022-06-22 11:04:23	ga_ls8c_ard_3-2-1_107081_2022-06-22_final
2022-07-23 11:58:31	ga_ls8c_ard_3-2-1_116077_2022-07-23_final
2023-01-12 11:24:51	ga_ls8c_ard_3-2-1_111070_2023-01-12_final
2023-02-03 09:10:54	ga_ls8c_ard_3-2-1_089075_2023-02-02_final
2023-03-29 10:09:44	ga_ls8c_ard_3-2-1_099069_2023-03-29_final
2023-04-05 10:19:24	ga_ls8c_ard_3-2-1_100078_2023-04-05_final
2023-06-23 09:33:55	ga_ls8c_ard_3-2-1_093073_2023-06-23_final
2023-08-06 11:38:18	ga_ls8c_ard_3-2-1_113074_2023-08-06_final
2023-09-04 09:27:50	ga_ls8c_ard_3-2-1_092072_2023-09-03_final
2023-09-05 10:08:42	ga_ls8c_ard_3-2-1_099066_2023-09-05_final
2023-10-29 09:34:39	ga_ls8c_ard_3-2-1_093073_2023-10-29_final
2024-02-22 10:47:28	ga_ls8c_ard_3-2-1_105070_2024-02-22_final
2024-03-27 10:37:26	ga_ls8c_ard_3-2-1_103077_2024-03-27_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