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
2013-03-31 09:33:03	ga_ls8c_ard_3-0-0_092077_2013-03-31_final
2013-07-06 09:35:26	ga_ls8c_ard_3-0-0_092086_2013-07-06_final
2013-07-16 11:48:36	ga_ls8c_ard_3-0-0_114079_2013-07-16_final
2013-08-07 09:35:52	ga_ls8c_ard_3-0-0_092087_2013-08-07_final
2014-01-21 09:41:34	ga_ls8c_ard_3-0-0_093088_2014-01-21_final
2014-02-04 11:24:19	ga_ls8c_ard_3-0-0_111067_2014-02-04_final
2014-07-09 09:27:42	ga_ls8c_ard_3-0-0_092072_2014-07-08_final
2015-01-24 09:33:59	ga_ls8c_ard_3-0-0_093072_2015-01-24_final
2015-04-05 11:16:29	ga_ls8c_ard_3-0-0_110067_2015-04-05_final
2015-06-11 10:09:11	ga_ls8c_ard_3-0-0_099069_2015-06-11_final
2015-07-29 10:12:44	ga_ls8c_ard_3-0-0_099077_2015-07-29_final
2015-08-23 10:03:07	ga_ls8c_ard_3-0-0_098068_2015-08-23_final
2015-09-19 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-09-19_final
2016-01-14 11:41:55	ga_ls8c_ard_3-0-0_114067_2016-01-14_final
2016-01-22 09:21:58	ga_ls8c_ard_3-0-0_090088_2016-01-21_final
2016-02-29 10:19:36	ga_ls8c_ard_3-0-0_100078_2016-02-29_final
2016-04-01 10:18:57	ga_ls8c_ard_3-0-0_100077_2016-04-01_final
2016-08-13 09:40:16	ga_ls8c_ard_3-0-0_094072_2016-08-13_final
2016-09-03 10:01:21	ga_ls8c_ard_3-0-0_097078_2016-09-03_final
2016-09-21 09:46:38	ga_ls8c_ard_3-0-0_095072_2016-09-21_final
2016-10-07 11:24:22	ga_ls8c_ard_3-0-0_111069_2016-10-07_final
2016-11-24 11:24:26	ga_ls8c_ard_3-0-0_111069_2016-11-24_final
2016-12-15 10:07:37	ga_ls8c_ard_3-0-0_098078_2016-12-15_final
2017-01-01 10:47:13	ga_ls8c_ard_3-0-0_105069_2017-01-01_final
2017-01-18 09:58:19	ga_ls8c_ard_3-0-0_096086_2017-01-18_final
2017-01-30 10:19:22	ga_ls8c_ard_3-0-0_100077_2017-01-30_final
2017-04-08 11:30:11	ga_ls8c_ard_3-0-0_112070_2017-04-08_final
2017-04-12 09:28:09	ga_ls8c_ard_3-0-0_092074_2017-04-11_final
2017-04-22 10:03:32	ga_ls8c_ard_3-0-0_098070_2017-04-22_final
2017-04-25 10:38:47	ga_ls8c_ard_3-0-0_103081_2017-04-25_final
2017-06-29 11:17:41	ga_ls8c_ard_3-0-0_110069_2017-06-29_final
2017-07-11 10:03:57	ga_ls8c_ard_3-0-0_098070_2017-07-11_final
2017-07-18 10:10:11	ga_ls8c_ard_3-0-0_099070_2017-07-18_final
2017-11-17 09:16:45	ga_ls8c_ard_3-0-0_089090_2017-11-16_final
2018-01-27 09:20:38	ga_ls8c_ard_3-0-0_090085_2018-01-26_final
2018-10-11 09:56:35	ga_ls8c_ard_3-0-0_097067_2018-10-11_final
2018-11-10 11:51:32	ga_ls8c_ard_3-0-0_115076_2018-11-10_final
2019-03-29 09:52:08	ga_ls8c_ard_3-1-0_096072_2019-03-29_final
2019-04-28 10:09:08	ga_ls8c_ard_3-0-0_098084_2019-04-28_final
2019-05-14 10:02:54	ga_ls8c_ard_3-0-0_098068_2019-05-14_final
2019-05-26 10:32:56	ga_ls8c_ard_3-0-0_102081_2019-05-26_final
2019-06-01 09:56:42	ga_ls8c_ard_3-0-0_096083_2019-06-01_final
2019-08-06 09:40:18	ga_ls8c_ard_3-1-0_094072_2019-08-06_final
2020-01-01 10:53:24	ga_ls8c_ard_3-1-0_106069_2020-01-01_final
2020-08-15 09:52:00	ga_ls8c_ard_3-1-0_095086_2020-08-15_final
2020-12-15 10:25:50	ga_ls8c_ard_3-1-0_101077_2020-12-15_final
2020-12-17 10:13:28	ga_ls8c_ard_3-2-0_099077_2020-12-17_final
2020-12-27 09:12:25	ga_ls8c_ard_3-2-0_089079_2020-12-26_final
2021-06-08 09:40:01	ga_ls8c_ard_3-2-0_094072_2021-06-08_final
2021-10-15 10:28:18	ga_ls8c_ard_3-2-0_101083_2021-10-15_final
2021-11-14 10:40:12	ga_ls8c_ard_3-2-0_103082_2021-11-14_final
2021-12-22 09:58:17	ga_ls8c_ard_3-2-1_097070_2021-12-22_final
2021-12-28 09:26:44	ga_ls8c_ard_3-2-1_091084_2021-12-27_final
2022-02-06 10:08:52	ga_ls8c_ard_3-2-1_099066_2022-02-06_final
2022-02-07 10:53:19	ga_ls8c_ard_3-2-1_106069_2022-02-07_final
2022-02-21 09:28:41	ga_ls8c_ard_3-2-1_092074_2022-02-20_final
2022-03-05 09:58:11	ga_ls8c_ard_3-2-1_096086_2022-03-05_final
2022-04-14 09:07:22	ga_ls8c_ard_3-2-1_088083_2022-04-13_final
2022-04-15 09:51:26	ga_ls8c_ard_3-2-1_095085_2022-04-15_final
2022-05-01 11:23:29	ga_ls8c_ard_3-2-1_111068_2022-05-01_final
2022-05-13 10:08:39	ga_ls8c_ard_3-2-1_099066_2022-05-13_final
2022-09-09 10:20:17	ga_ls8c_ard_3-2-1_100078_2022-09-09_final
2022-10-24 11:24:18	ga_ls8c_ard_3-2-1_111068_2022-10-24_final
2022-12-13 09:39:44	ga_ls8c_ard_3-2-1_093085_2022-12-13_final
2022-12-30 10:20:07	ga_ls8c_ard_3-2-1_100078_2022-12-30_final
2023-02-17 11:05:11	ga_ls8c_ard_3-2-1_107083_2023-02-17_final
2023-03-17 11:24:02	ga_ls8c_ard_3-2-1_111069_2023-03-17_final
2023-05-29 09:44:43	ga_ls8c_ard_3-2-1_094085_2023-05-29_final
2023-08-03 09:27:43	ga_ls8c_ard_3-2-1_092072_2023-08-02_final
2023-08-31 09:58:10	ga_ls8c_ard_3-2-1_096086_2023-08-31_final
2023-09-19 10:25:33	ga_ls8c_ard_3-2-1_101077_2023-09-19_final
2023-09-28 10:19:01	ga_ls8c_ard_3-2-1_100076_2023-09-28_final
2023-11-02 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-11-01_final
2023-12-27 09:20:53	ga_ls8c_ard_3-2-1_090085_2023-12-26_final
2024-02-05 10:05:02	ga_ls8c_ard_3-2-1_098072_2024-02-05_final
2024-02-07 09:58:16	ga_ls8c_ard_3-2-1_096086_2024-02-07_final
2024-04-02 11:37:16	ga_ls8c_ard_3-2-1_113072_2024-04-02_final
2024-04-16 10:09:03	ga_ls8c_ard_3-2-1_099068_2024-04-16_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