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
2013-06-15 10:51:47	ga_ls8c_ard_3-0-0_105076_2013-06-15_final
2013-12-11 11:18:42	ga_ls8c_ard_3-0-0_110067_2013-12-11_final
2014-05-27 09:46:20	ga_ls8c_ard_3-0-0_095073_2014-05-27_final
2015-02-03 10:09:04	ga_ls8c_ard_3-0-0_099067_2015-02-03_final
2015-05-30 09:45:29	ga_ls8c_ard_3-0-0_095072_2015-05-30_final
2015-07-13 10:13:03	ga_ls8c_ard_3-0-0_099078_2015-07-13_final
2015-08-09 11:29:31	ga_ls8c_ard_3-0-0_112068_2015-08-09_final
2015-10-01 10:13:32	ga_ls8c_ard_3-0-0_099078_2015-10-01_final
2015-12-03 09:34:00	ga_ls8c_ard_3-0-0_092087_2015-12-03_final
2015-12-06 09:57:18	ga_ls8c_ard_3-0-0_097068_2015-12-06_final
2015-12-10 11:14:38	ga_ls8c_ard_3-0-0_109076_2015-12-10_final
2016-02-23 10:52:41	ga_ls8c_ard_3-0-0_106068_2016-02-23_final
2016-03-23 10:27:14	ga_ls8c_ard_3-0-0_101082_2016-03-23_final
2016-09-25 09:26:18	ga_ls8c_ard_3-0-0_091083_2016-09-24_final
2016-09-29 10:40:04	ga_ls8c_ard_3-0-0_103082_2016-09-29_final
2016-10-10 10:19:36	ga_ls8c_ard_3-0-0_100077_2016-10-10_final
2016-10-16 11:18:14	ga_ls8c_ard_3-0-0_110069_2016-10-16_final
2016-12-28 11:11:58	ga_ls8c_ard_3-0-0_109069_2016-12-28_final
2017-02-22 10:23:47	ga_ls8c_ard_3-0-0_101073_2017-02-22_final
2017-08-14 09:58:13	ga_ls8c_ard_3-0-0_096086_2017-08-14_final
2017-09-08 09:50:54	ga_ls8c_ard_3-0-0_095083_2017-09-08_final
2017-09-11 10:19:24	ga_ls8c_ard_3-0-0_100077_2017-09-11_final
2017-09-30 10:49:38	ga_ls8c_ard_3-0-0_105075_2017-09-30_final
2018-01-14 11:26:09	ga_ls8c_ard_3-0-0_111074_2018-01-14_final
2018-01-19 11:44:39	ga_ls8c_ard_3-0-0_114074_2018-01-19_final
2018-02-02 10:16:47	ga_ls8c_ard_3-0-0_100071_2018-02-02_final
2018-02-24 11:19:39	ga_ls8c_ard_3-0-0_110074_2018-02-24_final
2018-03-06 10:19:21	ga_ls8c_ard_3-0-0_100078_2018-03-06_final
2018-03-15 10:08:42	ga_ls8c_ard_3-0-0_099067_2018-03-15_final
2018-04-11 11:30:02	ga_ls8c_ard_3-0-0_112070_2018-04-11_final
2018-04-26 10:49:25	ga_ls8c_ard_3-0-0_105077_2018-04-26_final
2018-04-27 11:31:28	ga_ls8c_ard_3-0-0_112074_2018-04-27_final
2018-04-29 11:17:06	ga_ls8c_ard_3-0-0_110069_2018-04-29_final
2018-05-06 11:23:12	ga_ls8c_ard_3-0-0_111069_2018-05-06_final
2018-07-18 09:39:25	ga_ls8c_ard_3-0-0_094072_2018-07-18_final
2018-07-18 11:17:30	ga_ls8c_ard_3-0-0_110070_2018-07-18_final
2018-08-04 10:27:12	ga_ls8c_ard_3-0-0_101083_2018-08-04_final
2018-09-19 10:39:04	ga_ls8c_ard_3-0-0_103081_2018-09-19_final
2018-11-02 09:27:35	ga_ls8c_ard_3-0-0_091087_2018-11-01_final
2019-01-01 11:23:10	ga_ls8c_ard_3-0-0_111067_2019-01-01_final
2019-01-29 10:09:42	ga_ls8c_ard_3-0-0_099069_2019-01-29_final
2019-04-16 09:40:29	ga_ls8c_ard_3-1-0_094074_2019-04-16_final
2019-04-19 10:12:33	ga_ls8c_ard_3-1-0_099077_2019-04-19_final
2019-04-26 10:21:29	ga_ls8c_ard_3-0-0_100084_2019-04-26_final
2019-05-13 09:28:01	ga_ls8c_ard_3-0-0_091089_2019-05-12_final
2019-05-16 11:31:51	ga_ls8c_ard_3-0-0_112074_2019-05-16_final
2019-06-07 10:55:21	ga_ls8c_ard_3-0-0_106075_2019-06-07_final
2019-06-14 09:27:29	ga_ls8c_ard_3-1-0_091087_2019-06-13_final
2019-07-05 11:20:13	ga_ls8c_ard_3-1-0_110075_2019-07-05_final
2019-08-15 11:14:39	ga_ls8c_ard_3-1-0_109076_2019-08-15_final
2019-09-16 11:14:00	ga_ls8c_ard_3-1-0_109074_2019-09-16_final
2019-09-30 11:23:39	ga_ls8c_ard_3-1-0_111067_2019-09-30_final
2019-10-25 11:19:30	ga_ls8c_ard_3-1-0_110072_2019-10-25_final
2019-11-08 11:31:03	ga_ls8c_ard_3-1-0_112070_2019-11-08_final
2019-11-22 10:09:39	ga_ls8c_ard_3-1-0_098083_2019-11-22_final
2019-12-06 10:20:01	ga_ls8c_ard_3-1-0_100078_2019-12-06_final
2020-02-17 10:09:33	ga_ls8c_ard_3-1-0_099068_2020-02-17_final
2020-03-18 10:25:43	ga_ls8c_ard_3-1-0_101078_2020-03-18_final
2020-03-21 10:55:23	ga_ls8c_ard_3-1-0_106075_2020-03-21_final
2020-04-04 09:28:44	ga_ls8c_ard_3-1-0_092075_2020-04-03_final
2020-04-21 10:13:28	ga_ls8c_ard_3-1-0_099079_2020-04-21_final
2020-04-27 09:33:09	ga_ls8c_ard_3-1-0_093071_2020-04-27_final
2020-06-04 10:38:58	ga_ls8c_ard_3-1-0_103081_2020-06-04_final
2020-06-08 10:15:29	ga_ls8c_ard_3-1-0_099084_2020-06-08_final
2020-06-30 11:14:18	ga_ls8c_ard_3-1-0_109076_2020-06-30_final
2020-07-07 11:17:44	ga_ls8c_ard_3-1-0_110069_2020-07-07_final
2020-09-28 10:13:25	ga_ls8c_ard_3-1-0_099077_2020-09-28_final
2020-11-21 09:34:21	ga_ls8c_ard_3-1-0_093072_2020-11-21_final
2020-12-25 09:20:24	ga_ls8c_ard_3-2-0_091068_2020-12-24_final
2021-04-14 09:33:21	ga_ls8c_ard_3-2-0_093071_2021-04-14_final
2021-04-19 11:31:55	ga_ls8c_ard_3-2-0_112074_2021-04-19_final
2021-05-10 10:12:39	ga_ls8c_ard_3-2-0_099077_2021-05-10_final
2021-06-27 10:13:00	ga_ls8c_ard_3-2-0_099077_2021-06-27_final
2021-07-31 11:37:42	ga_ls8c_ard_3-2-0_113072_2021-07-31_final
2021-09-25 10:50:07	ga_ls8c_ard_3-2-0_105076_2021-09-25_final
2021-12-05 09:21:51	ga_ls8c_ard_3-2-0_090087_2021-12-04_final
2021-12-10 09:34:24	ga_ls8c_ard_3-2-1_093072_2021-12-10_final
2021-12-29 10:10:00	ga_ls8c_ard_3-2-1_098084_2021-12-29_final
2021-12-30 10:50:03	ga_ls8c_ard_3-2-1_105076_2021-12-30_final
2022-01-19 10:27:41	ga_ls8c_ard_3-2-1_101082_2022-01-19_final
2022-01-24 09:07:18	ga_ls8c_ard_3-2-1_088082_2022-01-23_final
2022-01-29 09:21:49	ga_ls8c_ard_3-2-1_091072_2022-01-28_final
2022-02-06 10:13:39	ga_ls8c_ard_3-2-1_099078_2022-02-06_final
2022-02-19 11:20:21	ga_ls8c_ard_3-2-1_110075_2022-02-19_final
2022-03-21 11:32:08	ga_ls8c_ard_3-2-1_112074_2022-03-21_final
2022-05-20 10:16:51	ga_ls8c_ard_3-2-1_100071_2022-05-20_final
2022-06-08 09:11:48	ga_ls8c_ard_3-2-1_089078_2022-06-07_final
2022-07-13 09:40:27	ga_ls8c_ard_3-2-1_094072_2022-07-13_final
2022-11-21 10:14:03	ga_ls8c_ard_3-2-1_099078_2022-11-21_final
2023-01-30 11:12:07	ga_ls8c_ard_3-2-1_109069_2023-01-30_final
2023-02-12 10:46:19	ga_ls8c_ard_3-2-1_104082_2023-02-12_final
2023-03-05 09:21:43	ga_ls8c_ard_3-2-1_091072_2023-03-04_final
2023-03-26 11:18:08	ga_ls8c_ard_3-2-1_110070_2023-03-26_final
2023-05-17 10:54:50	ga_ls8c_ard_3-2-1_106075_2023-05-17_final
2023-06-05 11:23:51	ga_ls8c_ard_3-2-1_111070_2023-06-05_final
2023-06-27 10:49:45	ga_ls8c_ard_3-2-1_105077_2023-06-27_final
2023-09-05 10:15:53	ga_ls8c_ard_3-2-1_099084_2023-09-05_final
2023-09-13 09:28:54	ga_ls8c_ard_3-2-1_091090_2023-09-12_final
2023-11-08 10:14:04	ga_ls8c_ard_3-2-1_099079_2023-11-08_final
2024-03-16 10:53:00	ga_ls8c_ard_3-2-1_106069_2024-03-16_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