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
2013-06-30 11:43:48	ga_ls8c_ard_3-0-0_114067_2013-06-30_final
2013-07-04 11:25:05	ga_ls8c_ard_3-0-0_110082_2013-07-04_final
2014-04-16 11:31:25	ga_ls8c_ard_3-0-0_112072_2014-04-16_final
2014-11-12 11:18:32	ga_ls8c_ard_3-0-0_110070_2014-11-12_final
2014-11-28 11:20:06	ga_ls8c_ard_3-0-0_110074_2014-11-28_final
2015-08-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2015-08-18_final
2016-05-25 11:19:56	ga_ls8c_ard_3-0-0_110075_2016-05-25_final
2016-06-10 11:16:48	ga_ls8c_ard_3-0-0_110067_2016-06-10_final
2016-07-17 11:35:37	ga_ls8c_ard_3-0-0_113067_2016-07-17_final
2017-07-11 11:46:49	ga_ls8c_ard_3-0-0_114080_2017-07-11_final
2017-07-22 11:29:34	ga_ls8c_ard_3-0-0_111083_2017-07-22_final
2017-10-10 11:24:22	ga_ls8c_ard_3-0-0_111069_2017-10-10_final
2017-12-16 11:58:22	ga_ls8c_ard_3-0-0_116077_2017-12-16_final
2018-04-15 11:10:51	ga_ls8c_ard_3-0-0_108084_2018-04-15_final
2018-05-27 11:40:41	ga_ls8c_ard_3-0-0_114067_2018-05-27_final
2019-01-19 11:11:33	ga_ls8c_ard_3-0-0_109069_2019-01-19_final
2019-03-22 11:25:16	ga_ls8c_ard_3-1-0_111073_2019-03-22_final
2019-05-05 11:51:04	ga_ls8c_ard_3-0-0_115076_2019-05-05_final
2019-05-27 11:17:24	ga_ls8c_ard_3-0-0_109084_2019-05-27_final
2019-06-17 11:31:18	ga_ls8c_ard_3-1-0_112072_2019-06-17_final
2019-08-06 11:20:23	ga_ls8c_ard_3-1-0_110075_2019-08-06_final
2019-10-23 11:31:52	ga_ls8c_ard_3-1-0_112072_2019-10-23_final
2020-02-07 11:13:47	ga_ls8c_ard_3-1-0_109074_2020-02-07_final
2020-04-18 11:17:29	ga_ls8c_ard_3-1-0_110069_2020-04-18_final
2020-06-28 11:24:39	ga_ls8c_ard_3-1-0_111071_2020-06-28_final
2020-08-20 11:41:53	ga_ls8c_ard_3-1-0_114067_2020-08-20_final
2020-09-16 11:24:44	ga_ls8c_ard_3-1-0_111070_2020-09-16_final
2020-09-19 11:58:51	ga_ls8c_ard_3-1-0_116078_2020-09-19_final
2020-11-30 11:11:53	ga_ls8c_ard_3-1-0_108084_2020-11-30_final
2020-12-27 10:46:55	ga_ls8c_ard_3-2-0_105068_2020-12-27_final
2021-01-02 10:11:24	ga_ls8c_ard_3-2-0_099072_2021-01-02_final
2021-01-20 09:58:30	ga_ls8c_ard_3-2-0_097071_2021-01-20_final
2021-03-25 10:03:21	ga_ls8c_ard_3-2-0_097084_2021-03-25_final
2021-05-01 10:19:15	ga_ls8c_ard_3-2-0_100078_2021-05-01_final
2021-05-04 09:10:50	ga_ls8c_ard_3-2-0_089077_2021-05-03_final
2021-05-05 11:30:58	ga_ls8c_ard_3-2-0_112072_2021-05-05_final
2021-06-01 11:13:28	ga_ls8c_ard_3-2-0_109074_2021-06-01_final
2021-06-11 10:12:56	ga_ls8c_ard_3-2-0_099077_2021-06-11_final
2021-08-09 11:30:23	ga_ls8c_ard_3-2-0_112069_2021-08-09_final
2021-08-15 10:53:20	ga_ls8c_ard_3-2-0_106069_2021-08-15_final
2021-09-12 11:18:35	ga_ls8c_ard_3-2-0_110070_2021-09-12_final
2021-09-15 11:53:05	ga_ls8c_ard_3-2-0_115079_2021-09-15_final
2021-10-24 10:19:44	ga_ls8c_ard_3-2-0_100077_2021-10-24_final
2021-11-06 11:26:06	ga_ls8c_ard_3-2-0_111073_2021-11-06_final
2021-11-24 09:34:00	ga_ls8c_ard_3-2-0_093071_2021-11-24_final
2021-12-20 10:10:39	ga_ls8c_ard_3-2-1_099070_2021-12-20_final
2022-01-06 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-01-06_final
2022-01-15 10:46:50	ga_ls8c_ard_3-2-1_105068_2022-01-15_final
2022-01-21 10:10:55	ga_ls8c_ard_3-2-1_099071_2022-01-21_final
2022-01-22 09:16:53	ga_ls8c_ard_3-2-1_090075_2022-01-21_final
2022-02-03 09:39:58	ga_ls8c_ard_3-2-1_094071_2022-02-03_final
2022-02-06 10:10:51	ga_ls8c_ard_3-2-1_099071_2022-02-06_final
2022-02-07 10:53:19	ga_ls8c_ard_3-2-1_106069_2022-02-07_final
2022-02-18 10:39:53	ga_ls8c_ard_3-2-1_103082_2022-02-18_final
2022-02-20 10:25:30	ga_ls8c_ard_3-2-1_101077_2022-02-20_final
2022-02-21 11:07:34	ga_ls8c_ard_3-2-1_108074_2022-02-21_final
2022-02-23 09:21:55	ga_ls8c_ard_3-2-1_090088_2022-02-22_final
2022-03-03 10:04:10	ga_ls8c_ard_3-2-1_098070_2022-03-03_final
2022-03-16 09:33:34	ga_ls8c_ard_3-2-1_093071_2022-03-16_final
2022-03-21 09:57:14	ga_ls8c_ard_3-2-1_096084_2022-03-21_final
2022-04-24 11:19:42	ga_ls8c_ard_3-2-1_110074_2022-04-24_final
2022-04-28 09:17:39	ga_ls8c_ard_3-2-1_090078_2022-04-27_final
2022-04-29 10:03:18	ga_ls8c_ard_3-2-1_097084_2022-04-29_final
2022-05-07 10:49:16	ga_ls8c_ard_3-2-1_105075_2022-05-07_final
2022-05-14 10:53:07	ga_ls8c_ard_3-2-1_106069_2022-05-14_final
2022-05-23 09:13:15	ga_ls8c_ard_3-2-1_089082_2022-05-22_final
2022-05-30 09:20:15	ga_ls8c_ard_3-2-1_090084_2022-05-29_final
2022-06-09 11:32:22	ga_ls8c_ard_3-2-1_112074_2022-06-09_final
2022-06-24 09:11:33	ga_ls8c_ard_3-2-1_089077_2022-06-23_final
2022-07-28 10:39:49	ga_ls8c_ard_3-2-1_103081_2022-07-28_final
2022-07-29 11:20:42	ga_ls8c_ard_3-2-1_110075_2022-07-29_final
2022-08-02 09:17:08	ga_ls8c_ard_3-2-1_090075_2022-08-01_final
2022-09-01 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-08-31_final
2022-09-11 10:03:33	ga_ls8c_ard_3-2-1_098067_2022-09-11_final
2022-09-18 10:16:09	ga_ls8c_ard_3-2-1_099083_2022-09-18_final
2022-11-05 10:09:22	ga_ls8c_ard_3-2-1_099066_2022-11-05_final
2023-01-19 11:34:09	ga_ls8c_ard_3-2-1_112078_2023-01-19_final
2023-01-24 10:11:05	ga_ls8c_ard_3-2-1_099071_2023-01-24_final
2023-02-09 10:10:16	ga_ls8c_ard_3-2-1_099069_2023-02-09_final
2023-03-28 09:32:28	ga_ls8c_ard_3-2-1_092084_2023-03-28_final
2023-04-17 09:07:04	ga_ls8c_ard_3-2-1_088083_2023-04-16_final
2023-04-30 11:51:53	ga_ls8c_ard_3-2-1_115078_2023-04-30_final
2023-06-03 11:37:46	ga_ls8c_ard_3-2-1_113074_2023-06-03_final
2023-06-23 11:14:00	ga_ls8c_ard_3-2-1_109076_2023-06-23_final
2023-07-05 09:56:49	ga_ls8c_ard_3-2-1_097068_2023-07-05_final
2023-07-10 10:21:47	ga_ls8c_ard_3-2-1_100084_2023-07-10_final
2023-08-01 09:39:40	ga_ls8c_ard_3-2-1_094071_2023-08-01_final
2023-08-03 09:33:42	ga_ls8c_ard_3-2-1_092087_2023-08-03_final
2023-08-17 11:18:39	ga_ls8c_ard_3-2-1_110071_2023-08-17_final
2023-08-20 10:13:05	ga_ls8c_ard_3-2-1_099077_2023-08-20_final
2023-09-01 10:35:50	ga_ls8c_ard_3-2-1_103072_2023-09-01_final
2023-09-11 09:33:40	ga_ls8c_ard_3-2-1_093071_2023-09-11_final
2023-10-20 11:18:27	ga_ls8c_ard_3-2-1_110070_2023-10-20_final
2023-11-12 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-11-12_final
2023-11-14 09:34:13	ga_ls8c_ard_3-2-1_093072_2023-11-14_final
2023-11-29 10:33:53	ga_ls8c_ard_3-2-1_102082_2023-11-29_final
2024-01-08 09:40:19	ga_ls8c_ard_3-2-1_094072_2024-01-08_final
2024-01-24 09:44:39	ga_ls8c_ard_3-2-1_094083_2024-01-24_final
2024-02-09 09:46:19	ga_ls8c_ard_3-2-1_094087_2024-02-09_final
2024-02-16 11:24:09	ga_ls8c_ard_3-2-1_111069_2024-02-16_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