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
2013-09-27 11:40:18	ga_ls8c_ard_3-0-0_113074_2013-09-27_final
2014-02-27 11:36:56	ga_ls8c_ard_3-0-0_112084_2014-02-27_final
2014-03-08 11:24:39	ga_ls8c_ard_3-0-0_111069_2014-03-08_final
2014-04-27 11:15:32	ga_ls8c_ard_3-0-0_109079_2014-04-27_final
2014-06-12 11:24:11	ga_ls8c_ard_3-0-0_111070_2014-06-12_final
2014-07-14 09:46:40	ga_ls8c_ard_3-0-0_095073_2014-07-14_final
2014-10-20 11:17:09	ga_ls8c_ard_3-0-0_109082_2014-10-20_final
2014-12-30 09:39:52	ga_ls8c_ard_3-0-0_094071_2014-12-30_final
2015-07-26 09:37:50	ga_ls8c_ard_3-0-0_094067_2015-07-26_final
2015-12-26 11:14:39	ga_ls8c_ard_3-0-0_109076_2015-12-26_final
2016-01-18 09:40:18	ga_ls8c_ard_3-0-0_094072_2016-01-18_final
2016-01-25 11:25:46	ga_ls8c_ard_3-0-0_111073_2016-01-25_final
2016-02-12 11:12:30	ga_ls8c_ard_3-0-0_109071_2016-02-12_final
2016-02-24 11:37:33	ga_ls8c_ard_3-0-0_113072_2016-02-24_final
2016-03-29 11:24:10	ga_ls8c_ard_3-0-0_111070_2016-03-29_final
2016-04-05 11:35:30	ga_ls8c_ard_3-0-0_112083_2016-04-05_final
2016-07-05 11:13:36	ga_ls8c_ard_3-0-0_109074_2016-07-05_final
2016-07-12 09:38:10	ga_ls8c_ard_3-0-0_094067_2016-07-12_final
2016-09-08 11:58:24	ga_ls8c_ard_3-0-0_116077_2016-09-08_final
2016-10-07 11:24:46	ga_ls8c_ard_3-0-0_111070_2016-10-07_final
2016-10-23 09:47:09	ga_ls8c_ard_3-0-0_095073_2016-10-23_final
2017-01-23 11:51:19	ga_ls8c_ard_3-0-0_115075_2017-01-23_final
2017-02-28 09:45:52	ga_ls8c_ard_3-0-0_095071_2017-02-28_final
2017-08-09 11:14:08	ga_ls8c_ard_3-0-0_109075_2017-08-09_final
2017-11-02 11:32:34	ga_ls8c_ard_3-0-0_112074_2017-11-02_final
2017-11-11 09:45:52	ga_ls8c_ard_3-0-0_095070_2017-11-11_final
2017-12-20 11:32:28	ga_ls8c_ard_3-0-0_112074_2017-12-20_final
2017-12-22 09:40:01	ga_ls8c_ard_3-0-0_094071_2017-12-22_final
2017-12-31 11:13:53	ga_ls8c_ard_3-0-0_109074_2017-12-31_final
2018-05-31 09:37:02	ga_ls8c_ard_3-0-0_094067_2018-05-31_final
2018-05-31 09:44:37	ga_ls8c_ard_3-0-0_094086_2018-05-31_final
2018-09-02 11:29:26	ga_ls8c_ard_3-0-0_112068_2018-09-02_final
2019-02-20 11:13:51	ga_ls8c_ard_3-0-0_109075_2019-02-20_final
2019-07-21 09:39:48	ga_ls8c_ard_3-1-0_094071_2019-07-21_final
2019-08-12 09:07:15	ga_ls8c_ard_3-1-0_088082_2019-08-11_final
2020-02-07 11:11:47	ga_ls8c_ard_3-1-0_109069_2020-02-07_final
2020-03-04 10:08:40	ga_ls8c_ard_3-2-1_099066_2020-03-04_final
2020-04-25 11:25:12	ga_ls8c_ard_3-1-0_111073_2020-04-25_final
2020-06-05 09:40:34	ga_ls8c_ard_3-1-0_094074_2020-06-05_final
2020-08-08 11:20:16	ga_ls8c_ard_3-1-0_110075_2020-08-08_final
2020-09-09 11:20:31	ga_ls8c_ard_3-1-0_110075_2020-09-09_final
2020-12-05 09:46:21	ga_ls8c_ard_3-1-0_095071_2020-12-05_final
2021-03-21 10:27:17	ga_ls8c_ard_3-2-0_101082_2021-03-21_final
2021-04-05 11:18:04	ga_ls8c_ard_3-2-0_110070_2021-04-05_final
2021-06-20 11:41:42	ga_ls8c_ard_3-2-0_114067_2021-06-20_final
2021-07-11 10:25:47	ga_ls8c_ard_3-2-0_101078_2021-07-11_final
2021-07-29 11:52:02	ga_ls8c_ard_3-2-0_115077_2021-07-29_final
2021-08-04 09:40:06	ga_ls8c_ard_3-2-0_093087_2021-08-04_final
2021-08-10 10:35:58	ga_ls8c_ard_3-2-0_103072_2021-08-10_final
2021-09-29 10:28:13	ga_ls8c_ard_3-2-0_101083_2021-09-29_final
2021-10-14 09:40:38	ga_ls8c_ard_3-2-0_094072_2021-10-14_final
2021-10-25 09:25:18	ga_ls8c_ard_3-2-0_091080_2021-10-24_final
2021-11-29 11:31:50	ga_ls8c_ard_3-2-0_112072_2021-11-29_final
2021-12-12 09:27:37	ga_ls8c_ard_3-2-1_091086_2021-12-11_final
2021-12-13 10:04:30	ga_ls8c_ard_3-2-1_098070_2021-12-13_final
2021-12-30 09:13:10	ga_ls8c_ard_3-2-1_089081_2021-12-29_final
2022-01-06 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-01-05_final
2022-01-18 09:40:02	ga_ls8c_ard_3-2-1_094071_2022-01-18_final
2022-01-22 10:53:46	ga_ls8c_ard_3-2-1_106070_2022-01-22_final
2022-01-27 11:14:16	ga_ls8c_ard_3-2-1_109075_2022-01-27_final
2022-02-19 09:40:40	ga_ls8c_ard_3-2-1_094073_2022-02-19_final
2022-03-02 09:27:41	ga_ls8c_ard_3-2-1_091087_2022-03-01_final
2022-03-04 10:49:01	ga_ls8c_ard_3-2-1_105074_2022-03-04_final
2022-03-25 11:07:45	ga_ls8c_ard_3-2-1_108075_2022-03-25_final
2022-04-10 09:34:04	ga_ls8c_ard_3-2-1_092088_2022-04-10_final
2022-04-11 11:53:01	ga_ls8c_ard_3-2-1_115080_2022-04-11_final
2022-04-30 09:06:54	ga_ls8c_ard_3-2-1_088082_2022-04-29_final
2022-05-28 09:32:35	ga_ls8c_ard_3-2-1_092084_2022-05-28_final
2022-05-29 11:52:21	ga_ls8c_ard_3-2-1_115078_2022-05-29_final
2022-06-07 10:03:50	ga_ls8c_ard_3-2-1_098069_2022-06-07_final
2022-06-09 09:57:53	ga_ls8c_ard_3-2-1_096085_2022-06-09_final
2022-07-20 11:24:22	ga_ls8c_ard_3-2-1_111069_2022-07-20_final
2022-07-25 10:07:17	ga_ls8c_ard_3-2-1_098077_2022-07-25_final
2022-07-29 09:46:36	ga_ls8c_ard_3-2-1_094087_2022-07-29_final
2022-09-04 11:40:59	ga_ls8c_ard_3-2-1_113079_2022-09-04_final
2022-09-19 09:22:08	ga_ls8c_ard_3-2-1_090087_2022-09-18_final
2022-09-26 11:02:25	ga_ls8c_ard_3-2-1_107075_2022-09-26_final
2022-10-16 10:39:58	ga_ls8c_ard_3-2-1_103081_2022-10-16_final
2022-11-13 09:22:16	ga_ls8c_ard_3-2-1_091072_2022-11-12_final
2022-12-13 11:12:14	ga_ls8c_ard_3-2-1_109069_2022-12-13_final
2023-01-07 09:29:52	ga_ls8c_ard_3-2-1_092076_2023-01-06_final
2023-01-18 09:14:47	ga_ls8c_ard_3-2-1_089085_2023-01-17_final
2023-01-24 11:53:09	ga_ls8c_ard_3-2-1_115079_2023-01-24_final
2023-03-03 09:34:29	ga_ls8c_ard_3-2-1_093073_2023-03-03_final
2023-03-13 10:13:53	ga_ls8c_ard_3-2-1_099079_2023-03-13_final
2023-03-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2023-03-17_final
2023-03-23 09:15:57	ga_ls8c_ard_3-2-1_089089_2023-03-22_final
2023-03-28 09:28:29	ga_ls8c_ard_3-2-1_092074_2023-03-27_final
2023-03-30 10:52:59	ga_ls8c_ard_3-2-1_106069_2023-03-30_final
2023-04-30 10:13:24	ga_ls8c_ard_3-2-1_099079_2023-04-30_final
2023-07-06 10:42:53	ga_ls8c_ard_3-2-1_104075_2023-07-06_final
2023-07-19 10:09:14	ga_ls8c_ard_3-2-1_099068_2023-07-19_final
2023-08-01 09:39:40	ga_ls8c_ard_3-2-1_094071_2023-08-01_final
2023-09-07 09:57:56	ga_ls8c_ard_3-2-1_097070_2023-09-07_final
2023-09-18 11:18:47	ga_ls8c_ard_3-2-1_110071_2023-09-18_final
2023-10-13 09:34:37	ga_ls8c_ard_3-2-1_093073_2023-10-13_final
2023-10-29 11:17:56	ga_ls8c_ard_3-2-1_109084_2023-10-29_final
2023-11-05 09:40:49	ga_ls8c_ard_3-2-1_094073_2023-11-05_final
2024-01-27 10:09:08	ga_ls8c_ard_3-2-1_099067_2024-01-27_final
2024-02-06 10:49:54	ga_ls8c_ard_3-2-1_105076_2024-02-06_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