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

First 100 results (query limit)

Time (local)	Label
2013-03-30 10:30:16	ga_ls8c_ard_3-0-0_102070_2013-03-30_final
2013-07-09 10:03:33	ga_ls8c_ard_3-0-0_097079_2013-07-09_final
2013-07-24 09:23:51	ga_ls8c_ard_3-0-0_090088_2013-07-23_final
2013-08-07 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-08-07_final
2013-09-26 10:55:27	ga_ls8c_ard_3-0-0_106070_2013-09-26_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2013-12-11 11:21:54	ga_ls8c_ard_3-0-0_110075_2013-12-11_final
2014-02-02 11:43:05	ga_ls8c_ard_3-0-0_113083_2014-02-02_final
2014-02-18 10:04:46	ga_ls8c_ard_3-0-0_097085_2014-02-18_final
2014-07-23 11:16:59	ga_ls8c_ard_3-0-0_110067_2014-07-23_final
2014-07-25 09:28:56	ga_ls8c_ard_3-0-0_092075_2014-07-24_final
2014-12-09 11:01:53	ga_ls8c_ard_3-0-0_107075_2014-12-09_final
2015-02-16 09:40:50	ga_ls8c_ard_3-0-0_094074_2015-02-16_final
2015-03-05 10:25:36	ga_ls8c_ard_3-0-0_101078_2015-03-05_final
2015-05-04 09:11:41	ga_ls8c_ard_3-0-0_089080_2015-05-03_final
2015-05-18 09:23:54	ga_ls8c_ard_3-0-0_091080_2015-05-17_final
2015-07-01 09:46:11	ga_ls8c_ard_3-0-0_095073_2015-07-01_final
2015-11-13 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-11-13_final
2016-04-16 09:33:37	ga_ls8c_ard_3-0-0_093072_2016-04-16_final
2016-04-19 10:06:30	ga_ls8c_ard_3-0-0_098077_2016-04-19_final
2016-04-25 11:06:39	ga_ls8c_ard_3-0-0_108073_2016-04-25_final
2016-05-04 09:28:29	ga_ls8c_ard_3-0-0_091090_2016-05-03_final
2016-05-14 10:00:18	ga_ls8c_ard_3-0-0_097077_2016-05-14_final
2016-05-22 09:15:43	ga_ls8c_ard_3-0-0_089089_2016-05-21_final
2016-09-08 11:58:24	ga_ls8c_ard_3-0-0_116077_2016-09-08_final
2016-10-19 10:13:04	ga_ls8c_ard_3-0-0_099076_2016-10-19_final
2016-10-21 09:57:07	ga_ls8c_ard_3-0-0_097067_2016-10-21_final
2016-10-24 10:28:49	ga_ls8c_ard_3-0-0_102069_2016-10-24_final
2016-10-30 09:57:19	ga_ls8c_ard_3-0-0_096083_2016-10-30_final
2016-12-01 09:50:55	ga_ls8c_ard_3-0-0_096067_2016-12-01_final
2016-12-07 09:19:00	ga_ls8c_ard_3-0-0_090080_2016-12-06_final
2016-12-23 10:53:25	ga_ls8c_ard_3-0-0_106069_2016-12-23_final
2016-12-26 09:46:38	ga_ls8c_ard_3-0-0_095072_2016-12-26_final
2017-01-08 09:20:53	ga_ls8c_ard_3-0-0_090085_2017-01-07_final
2017-02-25 10:54:40	ga_ls8c_ard_3-1-0_106073_2017-02-25_final
2017-03-16 11:25:00	ga_ls8c_ard_3-0-0_111072_2017-03-16_final
2017-07-01 09:34:02	ga_ls8c_ard_3-0-0_092088_2017-07-01_final
2017-09-27 11:58:47	ga_ls8c_ard_3-0-0_116078_2017-09-27_final
2017-11-14 10:17:09	ga_ls8c_ard_3-0-0_100071_2017-11-14_final
2017-12-03 09:13:28	ga_ls8c_ard_3-0-0_089082_2017-12-02_final
2017-12-09 10:10:28	ga_ls8c_ard_3-0-0_099070_2017-12-09_final
2017-12-16 11:58:22	ga_ls8c_ard_3-0-0_116077_2017-12-16_final
2017-12-22 11:19:18	ga_ls8c_ard_3-0-0_110072_2017-12-22_final
2017-12-23 10:27:40	ga_ls8c_ard_3-0-0_101082_2017-12-23_final
2018-01-26 10:09:52	ga_ls8c_ard_3-0-0_099069_2018-01-26_final
2018-02-17 11:13:31	ga_ls8c_ard_3-0-0_109074_2018-02-17_final
2018-02-21 10:46:47	ga_ls8c_ard_3-0-0_105069_2018-02-21_final
2018-02-25 10:24:49	ga_ls8c_ard_3-0-0_101076_2018-02-25_final
2018-02-28 09:17:13	ga_ls8c_ard_3-0-0_090077_2018-02-27_final
2018-03-04 10:33:20	ga_ls8c_ard_3-0-0_102082_2018-03-04_final
2018-03-25 10:48:54	ga_ls8c_ard_3-0-0_105075_2018-03-25_final
2018-05-11 10:02:01	ga_ls8c_ard_3-0-0_098067_2018-05-11_final
2018-06-09 09:32:51	ga_ls8c_ard_3-0-0_093072_2018-06-09_final
2018-06-21 11:34:37	ga_ls8c_ard_3-0-0_113067_2018-06-21_final
2018-08-26 09:47:07	ga_ls8c_ard_3-0-0_095075_2018-08-26_final
2018-08-29 10:17:38	ga_ls8c_ard_3-0-0_100074_2018-08-29_final
2018-11-07 09:39:45	ga_ls8c_ard_3-0-0_094071_2018-11-07_final
2018-12-07 11:32:34	ga_ls8c_ard_3-0-0_112075_2018-12-07_final
2018-12-31 10:40:42	ga_ls8c_ard_3-0-0_104069_2018-12-31_final
2019-01-11 10:22:56	ga_ls8c_ard_3-0-0_101071_2019-01-11_final
2019-01-23 10:46:01	ga_ls8c_ard_3-0-0_105067_2019-01-23_final
2019-04-29 09:10:43	ga_ls8c_ard_3-0-0_089077_2019-04-28_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-10-03 10:22:03	ga_ls8c_ard_3-1-0_100083_2019-10-03_final
2019-10-16 11:24:53	ga_ls8c_ard_3-1-0_111070_2019-10-16_final
2020-05-13 09:33:51	ga_ls8c_ard_3-1-0_093073_2020-05-13_final
2020-06-23 09:28:23	ga_ls8c_ard_3-1-0_092074_2020-06-22_final
2020-07-23 09:38:08	ga_ls8c_ard_3-1-0_094067_2020-07-23_final
2020-08-10 11:05:55	ga_ls8c_ard_3-1-0_108070_2020-08-10_final
2021-01-15 11:18:29	ga_ls8c_ard_3-2-0_110070_2021-01-15_final
2021-05-29 10:42:09	ga_ls8c_ard_3-2-0_104073_2021-05-29_final
2021-06-08 11:19:42	ga_ls8c_ard_3-2-0_110074_2021-06-08_final
2021-07-13 10:09:26	ga_ls8c_ard_3-2-0_099068_2021-07-13_final
2021-10-05 11:24:52	ga_ls8c_ard_3-2-0_111070_2021-10-05_final
2021-10-11 09:16:31	ga_ls8c_ard_3-2-0_089089_2021-10-10_final
2021-10-12 11:36:16	ga_ls8c_ard_3-2-0_112083_2021-10-12_final
2021-10-28 11:32:42	ga_ls8c_ard_3-2-0_112074_2021-10-28_final
2021-11-11 10:05:19	ga_ls8c_ard_3-2-0_098072_2021-11-11_final
2022-01-19 10:27:41	ga_ls8c_ard_3-2-1_101082_2022-01-19_final
2022-03-07 09:39:49	ga_ls8c_ard_3-2-1_094071_2022-03-07_final
2022-03-24 10:25:18	ga_ls8c_ard_3-2-1_101077_2022-03-24_final
2022-04-05 10:49:34	ga_ls8c_ard_3-2-1_105076_2022-04-05_final
2022-04-17 11:16:45	ga_ls8c_ard_3-2-1_109082_2022-04-17_final
2022-05-05 09:27:06	ga_ls8c_ard_3-2-1_091086_2022-05-04_final
2022-05-09 10:39:19	ga_ls8c_ard_3-2-1_103081_2022-05-09_final
2022-07-01 10:58:37	ga_ls8c_ard_3-2-1_106082_2022-07-01_final
2022-07-28 10:39:49	ga_ls8c_ard_3-2-1_103081_2022-07-28_final
2022-08-24 10:18:38	ga_ls8c_ard_3-2-1_100074_2022-08-24_final
2022-08-30 11:20:50	ga_ls8c_ard_3-2-1_110075_2022-08-30_final
2022-10-30 09:13:33	ga_ls8c_ard_3-2-1_089081_2022-10-29_final
2022-11-17 10:35:10	ga_ls8c_ard_3-2-1_103069_2022-11-17_final
2022-11-26 10:33:49	ga_ls8c_ard_3-2-1_102081_2022-11-26_final
2022-12-17 09:11:47	ga_ls8c_ard_3-2-1_089077_2022-12-16_final
2023-01-24 10:11:29	ga_ls8c_ard_3-2-1_099072_2023-01-24_final
2023-04-17 10:45:33	ga_ls8c_ard_3-2-1_104082_2023-04-17_final
2023-04-29 09:32:09	ga_ls8c_ard_3-2-1_092084_2023-04-29_final
2023-07-16 11:23:36	ga_ls8c_ard_3-2-1_110084_2023-07-16_final
2023-09-08 09:06:19	ga_ls8c_ard_3-2-1_088080_2023-09-07_final
2023-12-21 11:32:29	ga_ls8c_ard_3-2-1_112074_2023-12-21_final
2024-02-15 09:06:24	ga_ls8c_ard_3-2-1_088080_2024-02-14_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