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

92 results

Time (local)	Label
2013-08-05 11:19:07	ga_ls8c_ard_3-0-0_110067_2013-08-05_final
2013-11-21 10:08:33	ga_ls8c_ard_3-0-0_098077_2013-11-21_final
2014-04-20 11:11:26	ga_ls8c_ard_3-0-0_108084_2014-04-20_final
2014-04-22 09:21:46	ga_ls8c_ard_3-0-0_090088_2014-04-21_final
2014-07-22 10:39:43	ga_ls8c_ard_3-0-0_103082_2014-07-22_final
2014-09-11 09:29:12	ga_ls8c_ard_3-0-0_092075_2014-09-10_final
2014-11-25 09:16:41	ga_ls8c_ard_3-0-0_089090_2014-11-24_final
2015-05-30 11:23:34	ga_ls8c_ard_3-0-0_111070_2015-05-30_final
2015-06-14 09:05:37	ga_ls8c_ard_3-0-0_088080_2015-06-13_final
2015-07-29 11:52:49	ga_ls8c_ard_3-0-0_115080_2015-07-29_final
2015-08-11 11:18:23	ga_ls8c_ard_3-0-0_110071_2015-08-11_final
2015-08-30 10:09:44	ga_ls8c_ard_3-0-0_099069_2015-08-30_final
2015-10-27 10:46:42	ga_ls8c_ard_3-0-0_105068_2015-10-27_final
2015-12-09 10:33:22	ga_ls8c_ard_3-0-0_102081_2015-12-09_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
2016-01-30 10:03:49	ga_ls8c_ard_3-0-0_098069_2016-01-30_final
2016-04-21 09:51:43	ga_ls8c_ard_3-0-0_096071_2016-04-21_final
2016-04-24 10:26:11	ga_ls8c_ard_3-0-0_101080_2016-04-24_final
2016-05-21 11:45:49	ga_ls8c_ard_3-0-0_114078_2016-05-21_final
2016-05-28 10:09:58	ga_ls8c_ard_3-0-0_099070_2016-05-28_final
2016-08-16 10:09:36	ga_ls8c_ard_3-0-0_099068_2016-08-16_final
2016-09-05 09:52:36	ga_ls8c_ard_3-0-0_095087_2016-09-05_final
2016-10-11 09:27:35	ga_ls8c_ard_3-0-0_091086_2016-10-10_final
2016-10-11 11:05:16	ga_ls8c_ard_3-0-0_107083_2016-10-11_final
2017-02-01 10:09:23	ga_ls8c_ard_3-0-0_098083_2017-02-01_final
2017-03-17 10:33:21	ga_ls8c_ard_3-0-0_102082_2017-03-17_final
2017-03-20 09:25:20	ga_ls8c_ard_3-0-0_091082_2017-03-19_final
2017-03-20 11:04:37	ga_ls8c_ard_3-0-0_107083_2017-03-20_final
2017-03-21 10:05:48	ga_ls8c_ard_3-0-0_098075_2017-03-21_final
2017-04-23 10:48:22	ga_ls8c_ard_3-0-0_105074_2017-04-23_final
2017-12-06 09:39:58	ga_ls8c_ard_3-0-0_094071_2017-12-06_final
2018-01-27 10:55:31	ga_ls8c_ard_3-0-0_106075_2018-01-27_final
2018-05-16 10:22:05	ga_ls8c_ard_3-0-0_101071_2018-05-16_final
2018-05-29 09:57:00	ga_ls8c_ard_3-0-0_096086_2018-05-29_final
2018-06-12 11:45:05	ga_ls8c_ard_3-0-0_114078_2018-06-12_final
2018-08-28 09:39:33	ga_ls8c_ard_3-0-0_093087_2018-08-28_final
2018-11-30 11:24:24	ga_ls8c_ard_3-0-0_111070_2018-11-30_final
2018-12-29 10:58:39	ga_ls8c_ard_3-0-0_106083_2018-12-29_final
2019-01-01 09:46:40	ga_ls8c_ard_3-0-0_095073_2019-01-01_final
2019-02-12 10:25:14	ga_ls8c_ard_3-0-0_101077_2019-02-12_final
2019-03-03 09:22:22	ga_ls8c_ard_3-0-0_090090_2019-03-02_final
2019-05-01 10:33:40	ga_ls8c_ard_3-0-0_103068_2019-05-01_final
2019-08-22 11:24:04	ga_ls8c_ard_3-1-0_110084_2019-08-22_final
2019-09-30 09:47:33	ga_ls8c_ard_3-1-0_095074_2019-09-30_final
2019-12-12 09:40:08	ga_ls8c_ard_3-1-0_094071_2019-12-12_final
2020-02-22 10:33:16	ga_ls8c_ard_3-1-0_102081_2020-02-22_final
2020-02-29 10:35:49	ga_ls8c_ard_3-1-0_103072_2020-02-29_final
2020-03-24 11:23:04	ga_ls8c_ard_3-1-0_111067_2020-03-24_final
2020-04-14 10:08:56	ga_ls8c_ard_3-1-0_098083_2020-04-14_final
2020-05-07 10:10:08	ga_ls8c_ard_3-1-0_099071_2020-05-07_final
2020-08-22 11:32:20	ga_ls8c_ard_3-1-0_112074_2020-08-22_final
2020-12-01 10:14:16	ga_ls8c_ard_3-1-0_099079_2020-12-01_final
2021-01-01 09:31:44	ga_ls8c_ard_3-2-0_092081_2021-01-01_final
2021-02-13 09:16:12	ga_ls8c_ard_3-2-0_089089_2021-02-12_final
2021-02-28 11:47:25	ga_ls8c_ard_3-2-0_114081_2021-02-28_final
2021-04-15 10:17:00	ga_ls8c_ard_3-2-0_100072_2021-04-15_final
2021-05-08 10:26:58	ga_ls8c_ard_3-2-0_101082_2021-05-08_final
2021-07-26 09:39:50	ga_ls8c_ard_3-2-0_094071_2021-07-26_final
2021-08-06 09:22:58	ga_ls8c_ard_3-2-0_091075_2021-08-05_final
2021-08-30 10:09:45	ga_ls8c_ard_3-2-0_099068_2021-08-30_final
2021-11-04 11:38:04	ga_ls8c_ard_3-2-0_113072_2021-11-04_final
2021-12-20 10:09:51	ga_ls8c_ard_3-2-1_099068_2021-12-20_final
2022-01-09 11:23:56	ga_ls8c_ard_3-2-1_111068_2022-01-09_final
2022-01-09 11:24:20	ga_ls8c_ard_3-2-1_111069_2022-01-09_final
2022-01-28 10:19:02	ga_ls8c_ard_3-2-1_100076_2022-01-28_final
2022-02-12 09:39:20	ga_ls8c_ard_3-2-1_093085_2022-02-12_final
2022-02-13 10:18:59	ga_ls8c_ard_3-2-1_100076_2022-02-13_final
2022-02-19 09:39:52	ga_ls8c_ard_3-2-1_094071_2022-02-19_final
2022-03-05 09:58:11	ga_ls8c_ard_3-2-1_096086_2022-03-05_final
2022-05-13 10:09:27	ga_ls8c_ard_3-2-1_099068_2022-05-13_final
2022-07-26 10:49:46	ga_ls8c_ard_3-2-1_105075_2022-07-26_final
2022-09-02 10:10:03	ga_ls8c_ard_3-2-1_099068_2022-09-02_final
2022-11-25 09:51:45	ga_ls8c_ard_3-2-1_095084_2022-11-25_final
2022-11-25 11:29:26	ga_ls8c_ard_3-2-1_111081_2022-11-25_final
2022-12-01 09:14:16	ga_ls8c_ard_3-2-1_089083_2022-11-30_final
2023-02-19 10:49:36	ga_ls8c_ard_3-2-1_105075_2023-02-19_final
2023-03-03 11:12:58	ga_ls8c_ard_3-2-1_109072_2023-03-03_final
2023-03-30 10:52:35	ga_ls8c_ard_3-2-1_106068_2023-03-30_final
2023-04-07 11:46:41	ga_ls8c_ard_3-2-1_114080_2023-04-07_final
2023-07-07 09:51:40	ga_ls8c_ard_3-2-1_095086_2023-07-07_final
2023-07-09 11:12:13	ga_ls8c_ard_3-2-1_109071_2023-07-09_final
2023-08-18 10:25:50	ga_ls8c_ard_3-2-1_101078_2023-08-18_final
2023-09-04 09:34:14	ga_ls8c_ard_3-2-1_092088_2023-09-04_final
2023-09-24 10:46:06	ga_ls8c_ard_3-2-1_104082_2023-09-24_final
2023-11-10 11:37:46	ga_ls8c_ard_3-2-1_113072_2023-11-10_final
2023-11-19 09:53:37	ga_ls8c_ard_3-2-1_096074_2023-11-19_final
2023-11-26 09:58:13	ga_ls8c_ard_3-2-1_097070_2023-11-26_final
2024-02-06 09:11:49	ga_ls8c_ard_3-2-1_089078_2024-02-05_final
2024-03-09 09:14:22	ga_ls8c_ard_3-2-1_089085_2024-03-08_final
2024-03-23 11:03:52	ga_ls8c_ard_3-2-1_107081_2024-03-23_final
2024-04-08 09:22:29	ga_ls8c_ard_3-2-1_091075_2024-04-07_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