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
2013-05-19 11:13:09	ga_ls8c_ard_3-0-0_108083_2013-05-19_final
2013-06-03 10:29:31	ga_ls8c_ard_3-0-0_101082_2013-06-03_final
2013-12-26 10:35:41	ga_ls8c_ard_3-0-0_103068_2013-12-26_final
2014-04-18 11:23:49	ga_ls8c_ard_3-0-0_110084_2014-04-18_final
2014-07-11 10:57:26	ga_ls8c_ard_3-0-0_106080_2014-07-11_final
2014-10-10 10:40:02	ga_ls8c_ard_3-0-0_103082_2014-10-10_final
2015-01-15 11:17:08	ga_ls8c_ard_3-0-0_110067_2015-01-15_final
2015-01-22 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-01-22_final
2015-04-03 11:30:50	ga_ls8c_ard_3-0-0_112072_2015-04-03_final
2015-07-23 10:49:47	ga_ls8c_ard_3-0-0_105077_2015-07-23_final
2016-01-02 11:18:01	ga_ls8c_ard_3-0-0_110069_2016-01-02_final
2016-10-23 11:24:26	ga_ls8c_ard_3-0-0_111069_2016-10-23_final
2017-01-04 11:20:06	ga_ls8c_ard_3-0-0_110074_2017-01-04_final
2017-01-31 11:03:25	ga_ls8c_ard_3-0-0_107079_2017-01-31_final
2017-02-21 11:23:24	ga_ls8c_ard_3-0-0_110083_2017-02-21_final
2017-03-24 10:39:03	ga_ls8c_ard_3-0-0_103081_2017-03-24_final
2017-05-20 10:27:33	ga_ls8c_ard_3-0-0_102068_2017-05-20_final
2017-08-13 10:49:26	ga_ls8c_ard_3-0-0_105075_2017-08-13_final
2017-09-12 11:05:04	ga_ls8c_ard_3-0-0_107083_2017-09-12_final
2017-11-22 11:05:45	ga_ls8c_ard_3-0-0_108069_2017-11-22_final
2018-01-11 10:55:40	ga_ls8c_ard_3-0-0_106075_2018-01-11_final
2018-02-10 11:07:47	ga_ls8c_ard_3-0-0_108075_2018-02-10_final
2018-05-12 10:48:03	ga_ls8c_ard_3-0-0_105074_2018-05-12_final
2018-05-15 11:18:55	ga_ls8c_ard_3-0-0_110074_2018-05-15_final
2018-05-16 10:26:53	ga_ls8c_ard_3-0-0_101083_2018-05-16_final
2018-07-25 11:28:54	ga_ls8c_ard_3-0-0_111083_2018-07-25_final
2018-10-03 10:48:45	ga_ls8c_ard_3-0-0_105074_2018-10-03_final
2018-12-29 10:58:39	ga_ls8c_ard_3-0-0_106083_2018-12-29_final
2019-10-15 10:46:24	ga_ls8c_ard_3-1-0_104082_2019-10-15_final
2019-12-19 11:26:22	ga_ls8c_ard_3-2-0_111074_2019-12-19_final
2020-01-15 11:07:19	ga_ls8c_ard_3-1-0_108073_2020-01-15_final
2020-01-27 11:30:47	ga_ls8c_ard_3-1-0_112070_2020-01-27_final
2020-02-02 10:55:40	ga_ls8c_ard_3-1-0_106075_2020-02-02_final
2020-02-06 10:30:31	ga_ls8c_ard_3-1-0_102074_2020-02-06_final
2020-04-08 10:42:28	ga_ls8c_ard_3-1-0_104074_2020-04-08_final
2020-07-02 11:01:09	ga_ls8c_ard_3-1-0_107074_2020-07-02_final
2020-07-27 10:55:55	ga_ls8c_ard_3-1-0_106076_2020-07-27_final
2020-08-20 10:09:23	ga_ls8c_ard_3-1-0_098083_2020-08-20_final
2020-08-28 10:52:31	ga_ls8c_ard_3-1-0_106067_2020-08-28_final
2020-09-29 10:55:53	ga_ls8c_ard_3-1-0_106075_2020-09-29_final
2020-10-15 10:53:08	ga_ls8c_ard_3-1-0_106068_2020-10-15_final
2020-11-26 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-11-26_final
2020-12-09 09:20:26	ga_ls8c_ard_3-1-0_091068_2020-12-08_final
2021-01-12 10:50:00	ga_ls8c_ard_3-2-0_105076_2021-01-12_final
2021-01-13 11:32:27	ga_ls8c_ard_3-2-0_112074_2021-01-13_final
2021-01-20 10:02:06	ga_ls8c_ard_3-2-0_097080_2021-01-20_final
2021-01-22 09:46:57	ga_ls8c_ard_3-2-0_095073_2021-01-22_final
2021-04-09 09:17:14	ga_ls8c_ard_3-2-0_090077_2021-04-08_final
2021-05-07 11:19:47	ga_ls8c_ard_3-2-0_110075_2021-05-07_final
2021-05-17 10:18:54	ga_ls8c_ard_3-2-0_100077_2021-05-17_final
2021-05-25 09:28:21	ga_ls8c_ard_3-2-0_092074_2021-05-24_final
2021-06-08 11:23:41	ga_ls8c_ard_3-2-0_110084_2021-06-08_final
2021-07-01 11:24:47	ga_ls8c_ard_3-2-0_111071_2021-07-01_final
2021-07-12 09:28:34	ga_ls8c_ard_3-2-0_092074_2021-07-11_final
2021-07-12 09:32:58	ga_ls8c_ard_3-2-0_092085_2021-07-12_final
2021-07-20 10:22:03	ga_ls8c_ard_3-2-0_100084_2021-07-20_final
2021-08-06 09:28:58	ga_ls8c_ard_3-2-0_091090_2021-08-05_final
2021-08-16 11:35:48	ga_ls8c_ard_3-2-0_113067_2021-08-16_final
2021-08-29 11:07:45	ga_ls8c_ard_3-2-0_108074_2021-08-29_final
2021-10-06 10:33:39	ga_ls8c_ard_3-2-0_102081_2021-10-06_final
2021-11-24 09:32:24	ga_ls8c_ard_3-2-0_093067_2021-11-24_final
2021-11-25 10:17:39	ga_ls8c_ard_3-2-0_100072_2021-11-25_final
2022-01-02 09:44:52	ga_ls8c_ard_3-2-1_094083_2022-01-02_final
2022-01-05 10:15:46	ga_ls8c_ard_3-2-1_099083_2022-01-05_final
2022-01-09 11:23:56	ga_ls8c_ard_3-2-1_111068_2022-01-09_final
2022-01-23 10:00:32	ga_ls8c_ard_3-2-1_097076_2022-01-23_final
2022-01-25 11:25:51	ga_ls8c_ard_3-2-1_111073_2022-01-25_final
2022-03-11 10:55:33	ga_ls8c_ard_3-2-1_106075_2022-03-11_final
2022-03-13 09:07:05	ga_ls8c_ard_3-2-1_088082_2022-03-12_final
2022-03-21 11:32:08	ga_ls8c_ard_3-2-1_112074_2022-03-21_final
2022-05-05 09:25:55	ga_ls8c_ard_3-2-1_091083_2022-05-04_final
2022-06-11 11:20:26	ga_ls8c_ard_3-2-1_110075_2022-06-11_final
2022-06-24 10:52:25	ga_ls8c_ard_3-2-1_105082_2022-06-24_final
2022-07-19 10:46:17	ga_ls8c_ard_3-2-1_104082_2022-07-19_final
2022-07-29 11:21:06	ga_ls8c_ard_3-2-1_110076_2022-07-29_final
2022-11-21 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-11-21_final
2022-12-04 09:40:23	ga_ls8c_ard_3-2-1_094071_2022-12-04_final
2022-12-20 09:41:02	ga_ls8c_ard_3-2-1_094073_2022-12-20_final
2022-12-23 10:12:42	ga_ls8c_ard_3-2-1_099075_2022-12-23_final
2023-01-14 11:14:03	ga_ls8c_ard_3-2-1_109074_2023-01-14_final
2023-01-14 11:14:27	ga_ls8c_ard_3-2-1_109075_2023-01-14_final
2023-01-15 10:22:25	ga_ls8c_ard_3-2-1_100084_2023-01-15_final
2023-01-30 09:39:13	ga_ls8c_ard_3-2-1_093084_2023-01-30_final
2023-01-30 11:14:06	ga_ls8c_ard_3-2-1_109074_2023-01-30_final
2023-02-09 10:13:28	ga_ls8c_ard_3-2-1_099077_2023-02-09_final
2023-03-13 10:13:30	ga_ls8c_ard_3-2-1_099078_2023-03-13_final
2023-03-14 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-03-14_final
2023-05-01 09:16:34	ga_ls8c_ard_3-2-1_090076_2023-04-30_final
2023-07-23 11:24:37	ga_ls8c_ard_3-2-1_111071_2023-07-23_final
2023-08-10 09:40:17	ga_ls8c_ard_3-2-1_093088_2023-08-10_final
2023-08-21 09:16:41	ga_ls8c_ard_3-2-1_090075_2023-08-20_final
2023-09-18 11:18:47	ga_ls8c_ard_3-2-1_110071_2023-09-18_final
2023-09-25 11:24:35	ga_ls8c_ard_3-2-1_111070_2023-09-25_final
2023-09-30 10:03:28	ga_ls8c_ard_3-2-1_098068_2023-09-30_final
2023-11-12 11:23:51	ga_ls8c_ard_3-2-1_111068_2023-11-12_final
2023-12-07 11:18:24	ga_ls8c_ard_3-2-1_110070_2023-12-07_final
2024-01-05 10:46:40	ga_ls8c_ard_3-2-1_105068_2024-01-05_final
2024-01-21 09:11:24	ga_ls8c_ard_3-2-1_089077_2024-01-20_final
2024-02-16 09:46:28	ga_ls8c_ard_3-2-1_095072_2024-02-16_final
2024-02-18 09:33:43	ga_ls8c_ard_3-2-1_093071_2024-02-18_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