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
2013-06-22 10:54:42	ga_ls8c_ard_3-0-0_106068_2013-06-22_final
2014-01-01 11:37:03	ga_ls8c_ard_3-0-0_113067_2014-01-01_final
2014-05-13 11:17:17	ga_ls8c_ard_3-0-0_109084_2014-05-13_final
2014-12-01 11:53:00	ga_ls8c_ard_3-0-0_115079_2014-12-01_final
2015-04-05 11:16:29	ga_ls8c_ard_3-0-0_110067_2015-04-05_final
2015-05-31 10:32:21	ga_ls8c_ard_3-0-0_102081_2015-05-31_final
2015-08-09 11:31:07	ga_ls8c_ard_3-0-0_112072_2015-08-09_final
2015-08-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2015-08-18_final
2015-08-24 10:51:10	ga_ls8c_ard_3-0-0_105080_2015-08-24_final
2015-09-05 11:16:21	ga_ls8c_ard_3-0-0_109081_2015-09-05_final
2015-09-20 10:33:37	ga_ls8c_ard_3-0-0_102082_2015-09-20_final
2016-03-28 09:06:50	ga_ls8c_ard_3-0-0_088082_2016-03-27_final
2016-05-04 10:59:47	ga_ls8c_ard_3-0-0_107071_2016-05-04_final
2016-06-01 09:46:28	ga_ls8c_ard_3-0-0_095073_2016-06-01_final
2016-06-03 11:13:48	ga_ls8c_ard_3-0-0_109075_2016-06-03_final
2016-06-20 11:57:31	ga_ls8c_ard_3-0-0_116076_2016-06-20_final
2016-08-06 11:14:09	ga_ls8c_ard_3-0-0_109075_2016-08-06_final
2016-08-21 10:33:22	ga_ls8c_ard_3-0-0_102081_2016-08-21_final
2016-08-29 11:19:16	ga_ls8c_ard_3-0-0_110072_2016-08-29_final
2016-10-22 10:46:22	ga_ls8c_ard_3-0-0_104082_2016-10-22_final
2016-11-26 11:14:28	ga_ls8c_ard_3-1-0_109075_2016-11-26_final
2017-02-10 11:40:48	ga_ls8c_ard_3-0-0_113080_2017-02-10_final
2017-12-06 09:41:10	ga_ls8c_ard_3-0-0_094074_2017-12-06_final
2017-12-29 09:46:58	ga_ls8c_ard_3-0-0_095073_2017-12-29_final
2018-01-04 10:46:45	ga_ls8c_ard_3-0-0_105068_2018-01-04_final
2018-02-21 10:47:10	ga_ls8c_ard_3-0-0_105070_2018-02-21_final
2018-08-06 11:51:45	ga_ls8c_ard_3-0-0_115078_2018-08-06_final
2018-08-09 09:06:06	ga_ls8c_ard_3-1-0_088081_2018-08-08_final
2018-10-06 11:16:53	ga_ls8c_ard_3-0-0_110067_2018-10-06_final
2018-11-01 11:58:30	ga_ls8c_ard_3-0-0_116078_2018-11-01_final
2019-03-08 11:13:46	ga_ls8c_ard_3-1-0_109075_2019-03-08_final
2019-03-22 11:23:16	ga_ls8c_ard_3-1-0_111068_2019-03-22_final
2019-06-26 11:23:58	ga_ls8c_ard_3-1-0_111069_2019-06-26_final
2019-07-13 10:33:12	ga_ls8c_ard_3-1-0_102081_2019-07-13_final
2019-08-06 09:39:54	ga_ls8c_ard_3-1-0_094071_2019-08-06_final
2019-08-09 11:52:30	ga_ls8c_ard_3-1-0_115078_2019-08-09_final
2019-11-29 11:51:32	ga_ls8c_ard_3-1-0_115075_2019-11-29_final
2020-01-11 11:32:27	ga_ls8c_ard_3-1-0_112074_2020-01-11_final
2020-01-22 11:11:52	ga_ls8c_ard_3-1-0_109069_2020-01-22_final
2020-03-08 09:46:19	ga_ls8c_ard_3-1-0_095072_2020-03-08_final
2020-04-09 09:46:03	ga_ls8c_ard_3-1-0_095072_2020-04-09_final
2020-04-16 11:30:16	ga_ls8c_ard_3-1-0_112070_2020-04-16_final
2020-04-25 09:43:56	ga_ls8c_ard_3-1-0_095067_2020-04-25_final
2020-05-01 10:48:28	ga_ls8c_ard_3-1-0_105074_2020-05-01_final
2020-06-30 11:13:30	ga_ls8c_ard_3-1-0_109074_2020-06-30_final
2020-07-04 10:49:12	ga_ls8c_ard_3-1-0_105075_2020-07-04_final
2020-11-21 11:14:26	ga_ls8c_ard_3-1-0_109075_2020-11-21_final
2020-12-18 10:59:07	ga_ls8c_ard_3-2-0_106083_2020-12-18_final
2020-12-20 10:46:21	ga_ls8c_ard_3-2-0_104082_2020-12-20_final
2021-01-06 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-01-06_final
2021-01-15 09:40:00	ga_ls8c_ard_3-2-0_094071_2021-01-15_final
2021-01-18 10:09:41	ga_ls8c_ard_3-2-0_099068_2021-01-18_final
2021-01-20 11:38:35	ga_ls8c_ard_3-2-0_113074_2021-01-20_final
2021-04-05 09:39:35	ga_ls8c_ard_3-2-0_094071_2021-04-05_final
2021-04-26 09:56:22	ga_ls8c_ard_3-2-0_097067_2021-04-26_final
2021-06-12 10:55:24	ga_ls8c_ard_3-2-0_106075_2021-06-12_final
2021-07-26 11:20:19	ga_ls8c_ard_3-2-0_110075_2021-07-26_final
2021-08-23 10:09:55	ga_ls8c_ard_3-2-0_098084_2021-08-23_final
2021-08-30 11:53:01	ga_ls8c_ard_3-2-0_115079_2021-08-30_final
2021-11-10 09:23:16	ga_ls8c_ard_3-2-0_091075_2021-11-09_final
2021-11-19 10:52:43	ga_ls8c_ard_3-2-0_106067_2021-11-19_final
2022-01-13 09:22:19	ga_ls8c_ard_3-2-1_091073_2022-01-12_final
2022-01-22 10:53:22	ga_ls8c_ard_3-2-1_106069_2022-01-22_final
2022-02-10 11:25:00	ga_ls8c_ard_3-2-1_111071_2022-02-10_final
2022-03-18 09:24:23	ga_ls8c_ard_3-2-1_091079_2022-03-17_final
2022-04-28 09:17:15	ga_ls8c_ard_3-2-1_090077_2022-04-27_final
2022-06-02 11:25:42	ga_ls8c_ard_3-2-1_111073_2022-06-02_final
2022-06-06 09:28:08	ga_ls8c_ard_3-2-1_091088_2022-06-05_final
2022-06-13 09:34:00	ga_ls8c_ard_3-2-1_092087_2022-06-13_final
2022-06-18 11:23:53	ga_ls8c_ard_3-2-1_111068_2022-06-18_final
2022-07-16 10:14:08	ga_ls8c_ard_3-2-1_099079_2022-07-16_final
2022-07-17 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-07-17_final
2022-07-27 11:31:50	ga_ls8c_ard_3-2-1_112072_2022-07-27_final
2022-08-31 10:28:24	ga_ls8c_ard_3-2-1_101083_2022-08-31_final
2022-10-05 09:18:06	ga_ls8c_ard_3-2-1_090077_2022-10-04_final
2022-10-10 11:14:16	ga_ls8c_ard_3-2-1_109074_2022-10-10_final
2022-11-22 09:22:49	ga_ls8c_ard_3-2-1_090089_2022-11-21_final
2022-11-27 09:34:12	ga_ls8c_ard_3-2-1_093071_2022-11-27_final
2022-11-29 09:29:26	ga_ls8c_ard_3-2-1_091090_2022-11-28_final
2022-12-11 11:30:36	ga_ls8c_ard_3-2-1_111084_2022-12-11_final
2022-12-14 10:20:12	ga_ls8c_ard_3-2-1_100078_2022-12-14_final
2022-12-15 09:28:09	ga_ls8c_ard_3-2-1_091087_2022-12-14_final
2022-12-26 09:07:08	ga_ls8c_ard_3-2-1_088081_2022-12-25_final
2022-12-26 10:40:50	ga_ls8c_ard_3-2-1_104068_2022-12-26_final
2023-01-13 10:29:37	ga_ls8c_ard_3-2-1_102071_2023-01-13_final
2023-03-01 11:25:21	ga_ls8c_ard_3-2-1_111072_2023-03-01_final
2023-03-05 09:22:07	ga_ls8c_ard_3-2-1_091073_2023-03-04_final
2023-03-24 11:31:18	ga_ls8c_ard_3-2-1_112072_2023-03-24_final
2023-03-26 11:19:44	ga_ls8c_ard_3-2-1_110074_2023-03-26_final
2023-04-30 10:13:24	ga_ls8c_ard_3-2-1_099079_2023-04-30_final
2023-05-04 09:45:51	ga_ls8c_ard_3-2-1_095072_2023-05-04_final
2023-06-14 09:39:17	ga_ls8c_ard_3-2-1_094071_2023-06-14_final
2023-08-30 09:10:31	ga_ls8c_ard_3-2-1_089075_2023-08-29_final
2023-09-12 10:19:44	ga_ls8c_ard_3-2-1_100078_2023-09-12_final
2023-09-14 10:09:47	ga_ls8c_ard_3-2-1_098084_2023-09-14_final
2023-09-17 10:39:30	ga_ls8c_ard_3-2-1_103081_2023-09-17_final
2023-09-20 09:33:07	ga_ls8c_ard_3-2-1_092085_2023-09-20_final
2023-12-11 10:52:56	ga_ls8c_ard_3-2-1_106068_2023-12-11_final
2024-01-27 11:50:48	ga_ls8c_ard_3-2-1_115074_2024-01-27_final
2024-02-13 09:16:47	ga_ls8c_ard_3-2-1_090075_2024-02-12_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