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
2013-08-07 11:13:33	ga_ls8c_ard_3-0-0_108084_2013-08-07_final
2014-02-06 11:13:31	ga_ls8c_ard_3-0-0_109071_2014-02-06_final
2014-03-30 10:46:50	ga_ls8c_ard_3-0-0_105068_2014-03-30_final
2014-04-06 10:53:45	ga_ls8c_ard_3-0-0_106070_2014-04-06_final
2014-07-09 11:08:11	ga_ls8c_ard_3-0-0_108076_2014-07-09_final
2014-10-02 11:26:15	ga_ls8c_ard_3-0-0_111074_2014-10-02_final
2015-02-13 10:48:49	ga_ls8c_ard_3-0-0_105074_2015-02-13_final
2015-04-02 10:49:36	ga_ls8c_ard_3-0-0_105077_2015-04-02_final
2015-07-17 11:23:39	ga_ls8c_ard_3-0-0_111069_2015-07-17_final
2015-09-26 11:30:16	ga_ls8c_ard_3-0-0_112069_2015-09-26_final
2015-11-06 09:50:54	ga_ls8c_ard_3-0-0_095083_2015-11-06_final
2016-01-13 10:59:51	ga_ls8c_ard_3-0-0_107070_2016-01-13_final
2016-01-29 11:05:01	ga_ls8c_ard_3-0-0_107083_2016-01-29_final
2016-04-23 11:19:49	ga_ls8c_ard_3-0-0_110075_2016-04-23_final
2016-07-25 10:49:24	ga_ls8c_ard_3-0-0_105075_2016-07-25_final
2016-08-26 10:49:33	ga_ls8c_ard_3-0-0_105075_2016-08-26_final
2016-08-29 09:44:47	ga_ls8c_ard_3-0-0_094083_2016-08-29_final
2016-10-23 11:24:26	ga_ls8c_ard_3-0-0_111069_2016-10-23_final
2016-11-30 10:50:08	ga_ls8c_ard_3-0-0_105076_2016-11-30_final
2017-01-20 11:19:14	ga_ls8c_ard_3-0-0_110072_2017-01-20_final
2017-04-01 11:25:16	ga_ls8c_ard_3-0-0_111073_2017-04-01_final
2017-04-30 10:56:52	ga_ls8c_ard_3-0-0_106080_2017-04-30_final
2017-09-05 10:52:30	ga_ls8c_ard_3-0-0_106067_2017-09-05_final
2017-11-02 11:29:46	ga_ls8c_ard_3-0-0_112067_2017-11-02_final
2017-11-06 11:07:26	ga_ls8c_ard_3-0-0_108073_2017-11-06_final
2017-12-13 11:25:51	ga_ls8c_ard_3-0-0_111073_2017-12-13_final
2018-01-16 11:13:22	ga_ls8c_ard_3-0-0_109073_2018-01-16_final
2018-02-01 11:12:24	ga_ls8c_ard_3-0-0_109071_2018-02-01_final
2018-02-15 11:26:41	ga_ls8c_ard_3-0-0_111076_2018-02-15_final
2018-03-12 11:17:30	ga_ls8c_ard_3-0-0_110069_2018-03-12_final
2018-05-06 11:25:12	ga_ls8c_ard_3-0-0_111074_2018-05-06_final
2018-08-26 09:46:19	ga_ls8c_ard_3-0-0_095073_2018-08-26_final
2018-08-30 11:02:54	ga_ls8c_ard_3-0-0_107079_2018-08-30_final
2018-09-22 11:11:11	ga_ls8c_ard_3-0-0_108084_2018-09-22_final
2018-10-01 11:01:30	ga_ls8c_ard_3-0-0_107075_2018-10-01_final
2018-11-03 11:47:20	ga_ls8c_ard_3-0-0_114081_2018-11-03_final
2018-11-14 09:50:44	ga_ls8c_ard_3-0-0_095083_2018-11-14_final
2019-01-22 11:44:26	ga_ls8c_ard_3-0-0_114074_2019-01-22_final
2019-02-02 11:24:15	ga_ls8c_ard_3-0-0_111070_2019-02-02_final
2019-04-25 11:12:43	ga_ls8c_ard_3-0-0_109073_2019-04-25_final
2019-06-07 10:55:45	ga_ls8c_ard_3-0-0_106076_2019-06-07_final
2019-07-05 09:45:44	ga_ls8c_ard_3-1-0_094086_2019-07-05_final
2019-07-21 09:40:12	ga_ls8c_ard_3-1-0_094072_2019-07-21_final
2019-08-11 11:37:46	ga_ls8c_ard_3-1-0_113072_2019-08-11_final
2019-10-28 11:53:12	ga_ls8c_ard_3-1-0_115079_2019-10-28_final
2019-12-10 11:32:34	ga_ls8c_ard_3-1-0_112074_2019-12-10_final
2019-12-12 11:17:25	ga_ls8c_ard_3-1-0_110067_2019-12-12_final
2020-01-22 11:14:16	ga_ls8c_ard_3-1-0_109075_2020-01-22_final
2020-02-09 11:05:24	ga_ls8c_ard_3-1-0_107084_2020-02-09_final
2020-03-08 09:46:19	ga_ls8c_ard_3-1-0_095072_2020-03-08_final
2020-03-12 11:01:15	ga_ls8c_ard_3-1-0_107074_2020-03-12_final
2020-04-05 11:51:40	ga_ls8c_ard_3-1-0_115077_2020-04-05_final
2020-05-27 11:26:20	ga_ls8c_ard_3-1-0_111076_2020-05-27_final
2020-06-12 11:22:55	ga_ls8c_ard_3-1-0_111067_2020-06-12_final
2020-09-16 11:25:32	ga_ls8c_ard_3-1-0_111072_2020-09-16_final
2020-11-16 10:53:53	ga_ls8c_ard_3-1-0_106070_2020-11-16_final
2021-03-07 10:14:39	ga_ls8c_ard_3-2-0_099081_2021-03-07_final
2021-05-19 10:04:10	ga_ls8c_ard_3-2-0_098071_2021-05-19_final
2021-06-10 09:27:40	ga_ls8c_ard_3-2-0_092072_2021-06-09_final
2021-07-01 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-07-01_final
2021-08-06 09:26:34	ga_ls8c_ard_3-2-0_091084_2021-08-05_final
2021-09-08 11:45:17	ga_ls8c_ard_3-2-0_114075_2021-09-08_final
2021-09-21 09:39:56	ga_ls8c_ard_3-2-0_093086_2021-09-21_final
2021-11-10 09:27:15	ga_ls8c_ard_3-2-0_091085_2021-11-09_final
2021-11-12 09:13:41	ga_ls8c_ard_3-2-0_089082_2021-11-11_final
2021-11-14 10:38:36	ga_ls8c_ard_3-2-0_103078_2021-11-14_final
2021-11-26 11:00:31	ga_ls8c_ard_3-2-0_107071_2021-11-26_final
2021-12-01 11:19:52	ga_ls8c_ard_3-2-0_110073_2021-12-01_final
2022-01-29 09:23:01	ga_ls8c_ard_3-2-1_091075_2022-01-28_final
2022-03-26 11:52:12	ga_ls8c_ard_3-2-1_115078_2022-03-26_final
2022-04-24 11:19:18	ga_ls8c_ard_3-2-1_110073_2022-04-24_final
2022-05-26 11:22:14	ga_ls8c_ard_3-2-1_110080_2022-05-26_final
2022-06-09 09:56:17	ga_ls8c_ard_3-2-1_096081_2022-06-09_final
2022-08-21 11:25:02	ga_ls8c_ard_3-2-1_111070_2022-08-21_final
2022-09-07 10:29:26	ga_ls8c_ard_3-2-1_102070_2022-09-07_final
2022-09-18 10:10:10	ga_ls8c_ard_3-2-1_099068_2022-09-18_final
2022-10-27 10:21:55	ga_ls8c_ard_3-2-1_100082_2022-10-27_final
2022-10-28 09:27:30	ga_ls8c_ard_3-2-1_091085_2022-10-27_final
2022-12-05 10:28:02	ga_ls8c_ard_3-2-1_101082_2022-12-05_final
2022-12-15 09:26:57	ga_ls8c_ard_3-2-1_091084_2022-12-14_final
2023-01-09 09:17:05	ga_ls8c_ard_3-2-1_090075_2023-01-08_final
2023-01-25 10:58:44	ga_ls8c_ard_3-2-1_106082_2023-01-25_final
2023-03-29 10:10:56	ga_ls8c_ard_3-2-1_099072_2023-03-29_final
2023-05-09 10:02:42	ga_ls8c_ard_3-2-1_098068_2023-05-09_final
2023-05-15 09:33:31	ga_ls8c_ard_3-2-1_092088_2023-05-15_final
2023-05-20 09:46:53	ga_ls8c_ard_3-2-1_095075_2023-05-20_final
2023-05-23 10:17:48	ga_ls8c_ard_3-2-1_100075_2023-05-23_final
2023-05-31 09:27:58	ga_ls8c_ard_3-2-1_092074_2023-05-30_final
2023-06-03 11:36:58	ga_ls8c_ard_3-2-1_113072_2023-06-03_final
2023-06-09 10:59:11	ga_ls8c_ard_3-2-1_107070_2023-06-09_final
2023-06-17 10:09:24	ga_ls8c_ard_3-2-1_099069_2023-06-17_final
2023-07-15 10:33:57	ga_ls8c_ard_3-2-1_103068_2023-07-15_final
2023-08-03 11:06:12	ga_ls8c_ard_3-2-1_108071_2023-08-03_final
2023-08-15 11:35:46	ga_ls8c_ard_3-2-1_112083_2023-08-15_final
2023-08-24 11:24:53	ga_ls8c_ard_3-2-1_111071_2023-08-24_final
2023-10-01 09:13:26	ga_ls8c_ard_3-2-1_089082_2023-09-30_final
2023-11-17 10:07:33	ga_ls8c_ard_3-2-1_098078_2023-11-17_final
2023-12-12 09:57:19	ga_ls8c_ard_3-2-1_097068_2023-12-12_final
2024-02-05 10:03:27	ga_ls8c_ard_3-2-1_098068_2024-02-05_final
2024-02-13 10:55:16	ga_ls8c_ard_3-2-1_106074_2024-02-13_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years