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
2013-04-01 10:09:38	ga_ls8c_ard_3-0-0_099072_2013-04-01_final
2013-04-05 09:28:04	ga_ls8c_ard_3-0-0_092075_2013-04-04_final
2013-04-29 09:59:32	ga_ls8c_ard_3-0-0_096085_2013-04-29_final
2013-06-14 10:05:20	ga_ls8c_ard_3-0-0_098068_2013-06-14_final
2013-11-11 11:09:41	ga_ls8c_ard_3-0-0_108075_2013-11-11_final
2014-01-16 10:53:56	ga_ls8c_ard_3-0-0_106068_2014-01-16_final
2014-02-09 10:10:40	ga_ls8c_ard_3-0-0_098084_2014-02-09_final
2014-06-21 09:39:32	ga_ls8c_ard_3-0-0_094071_2014-06-21_final
2014-10-30 10:10:29	ga_ls8c_ard_3-0-0_099070_2014-10-30_final
2014-12-25 11:00:16	ga_ls8c_ard_3-0-0_107071_2014-12-25_final
2015-01-02 10:14:21	ga_ls8c_ard_3-0-0_099080_2015-01-02_final
2015-01-05 10:40:28	ga_ls8c_ard_3-0-0_104068_2015-01-05_final
2015-01-13 11:31:31	ga_ls8c_ard_3-0-0_112072_2015-01-13_final
2015-03-29 09:33:55	ga_ls8c_ard_3-0-0_093073_2015-03-29_final
2015-03-29 11:11:12	ga_ls8c_ard_3-0-0_109069_2015-03-29_final
2015-04-04 10:38:49	ga_ls8c_ard_3-0-0_103081_2015-04-04_final
2015-04-26 11:37:45	ga_ls8c_ard_3-0-0_113074_2015-04-26_final
2015-06-21 10:48:19	ga_ls8c_ard_3-0-0_105074_2015-06-21_final
2015-07-03 09:39:51	ga_ls8c_ard_3-0-0_093088_2015-07-03_final
2015-12-05 10:52:56	ga_ls8c_ard_3-0-0_106068_2015-12-05_final
2015-12-11 10:17:01	ga_ls8c_ard_3-0-0_100071_2015-12-11_final
2015-12-24 11:23:50	ga_ls8c_ard_3-0-0_111068_2015-12-24_final
2016-01-07 09:57:38	ga_ls8c_ard_3-0-0_097069_2016-01-07_final
2016-02-03 09:40:16	ga_ls8c_ard_3-0-0_094072_2016-02-03_final
2016-03-01 11:03:39	ga_ls8c_ard_3-0-0_107080_2016-03-01_final
2016-03-11 09:56:38	ga_ls8c_ard_3-0-0_097067_2016-03-11_final
2016-04-21 09:50:56	ga_ls8c_ard_3-0-0_096069_2016-04-21_final
2016-05-01 10:32:52	ga_ls8c_ard_3-0-0_102081_2016-05-01_final
2016-06-10 09:39:31	ga_ls8c_ard_3-0-0_094071_2016-06-10_final
2016-06-23 10:46:23	ga_ls8c_ard_3-0-0_105068_2016-06-23_final
2016-09-29 10:40:04	ga_ls8c_ard_3-0-0_103082_2016-09-29_final
2016-10-03 10:09:47	ga_ls8c_ard_3-0-0_099068_2016-10-03_final
2016-12-09 10:43:08	ga_ls8c_ard_3-0-0_104074_2016-12-09_final
2017-03-23 09:57:24	ga_ls8c_ard_3-0-0_096085_2017-03-23_final
2017-04-17 11:23:08	ga_ls8c_ard_3-0-0_111068_2017-04-17_final
2017-07-04 09:56:33	ga_ls8c_ard_3-0-0_097067_2017-07-04_final
2017-07-06 09:44:12	ga_ls8c_ard_3-0-0_095067_2017-07-06_final
2017-09-20 10:10:05	ga_ls8c_ard_3-0-0_099069_2017-09-20_final
2017-11-07 10:13:48	ga_ls8c_ard_3-0-0_099078_2017-11-07_final
2017-12-10 09:22:50	ga_ls8c_ard_3-0-0_090090_2017-12-09_final
2017-12-14 10:29:02	ga_ls8c_ard_3-0-0_102070_2017-12-14_final
2018-02-06 09:51:38	ga_ls8c_ard_3-0-0_096070_2018-02-06_final
2018-02-27 10:09:15	ga_ls8c_ard_3-0-0_099068_2018-02-27_final
2018-06-10 10:18:32	ga_ls8c_ard_3-0-0_100078_2018-06-10_final
2018-07-20 11:07:09	ga_ls8c_ard_3-0-0_108075_2018-07-20_final
2018-08-23 10:52:41	ga_ls8c_ard_3-0-0_106069_2018-08-23_final
2018-10-29 11:24:00	ga_ls8c_ard_3-0-0_111069_2018-10-29_final
2018-11-25 09:28:35	ga_ls8c_ard_3-0-0_092074_2018-11-24_final
2019-01-21 09:22:18	ga_ls8c_ard_3-0-0_091074_2019-01-20_final
2019-03-31 09:40:34	ga_ls8c_ard_3-1-0_094074_2019-03-31_final
2019-05-18 11:20:18	ga_ls8c_ard_3-0-0_110076_2019-05-18_final
2019-06-02 10:33:59	ga_ls8c_ard_3-0-0_103068_2019-06-02_final
2019-07-21 11:23:52	ga_ls8c_ard_3-1-0_110084_2019-07-21_final
2019-08-04 11:29:33	ga_ls8c_ard_3-1-0_112067_2019-08-04_final
2019-08-06 11:18:24	ga_ls8c_ard_3-1-0_110070_2019-08-06_final
2019-09-27 09:21:02	ga_ls8c_ard_3-1-0_090085_2019-09-26_final
2019-11-21 11:01:41	ga_ls8c_ard_3-1-0_107074_2019-11-21_final
2019-11-28 09:34:10	ga_ls8c_ard_3-1-0_092087_2019-11-28_final
2019-12-30 11:08:10	ga_ls8c_ard_3-1-0_108075_2019-12-30_final
2020-01-06 09:34:15	ga_ls8c_ard_3-1-0_093072_2020-01-06_final
2020-01-09 10:03:09	ga_ls8c_ard_3-1-0_098067_2020-01-09_final
2020-03-13 10:04:25	ga_ls8c_ard_3-1-0_098071_2020-03-13_final
2020-03-28 09:21:49	ga_ls8c_ard_3-1-0_091073_2020-03-27_final
2020-04-06 10:55:14	ga_ls8c_ard_3-1-0_106075_2020-04-06_final
2020-04-22 10:52:20	ga_ls8c_ard_3-1-0_106068_2020-04-22_final
2020-05-23 10:14:58	ga_ls8c_ard_3-1-0_099083_2020-05-23_final
2020-06-16 09:26:55	ga_ls8c_ard_3-1-0_091086_2020-06-15_final
2020-10-02 11:24:24	ga_ls8c_ard_3-1-0_111069_2020-10-02_final
2020-10-13 09:34:35	ga_ls8c_ard_3-1-0_092088_2020-10-13_final
2020-10-21 11:58:55	ga_ls8c_ard_3-1-0_116078_2020-10-21_final
2020-10-25 09:57:42	ga_ls8c_ard_3-1-0_096084_2020-10-25_final
2021-01-08 09:34:17	ga_ls8c_ard_3-2-0_093072_2021-01-08_final
2021-02-11 11:01:04	ga_ls8c_ard_3-2-0_107073_2021-02-11_final
2021-03-03 10:34:13	ga_ls8c_ard_3-2-0_103068_2021-03-03_final
2021-03-19 10:34:04	ga_ls8c_ard_3-2-0_103068_2021-03-19_final
2021-04-17 10:09:25	ga_ls8c_ard_3-2-0_098084_2021-04-17_final
2021-04-24 10:09:09	ga_ls8c_ard_3-2-0_099068_2021-04-24_final
2021-06-24 09:40:06	ga_ls8c_ard_3-2-0_094072_2021-06-24_final
2021-07-11 10:26:59	ga_ls8c_ard_3-2-0_101081_2021-07-11_final
2021-07-14 10:55:29	ga_ls8c_ard_3-2-0_106075_2021-07-14_final
2021-08-25 11:31:39	ga_ls8c_ard_3-2-0_112072_2021-08-25_final
2022-01-31 10:47:09	ga_ls8c_ard_3-2-1_105069_2022-01-31_final
2022-02-06 10:08:52	ga_ls8c_ard_3-2-1_099066_2022-02-06_final
2022-02-06 10:10:51	ga_ls8c_ard_3-2-1_099071_2022-02-06_final
2022-02-22 10:13:33	ga_ls8c_ard_3-2-1_099078_2022-02-22_final
2022-04-05 10:49:34	ga_ls8c_ard_3-2-1_105076_2022-04-05_final
2022-04-11 10:12:56	ga_ls8c_ard_3-2-1_099077_2022-04-11_final
2022-04-27 10:14:05	ga_ls8c_ard_3-2-1_099080_2022-04-27_final
2022-05-28 11:07:28	ga_ls8c_ard_3-2-1_108074_2022-05-28_final
2022-06-02 09:52:00	ga_ls8c_ard_3-2-1_095086_2022-06-02_final
2022-07-01 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-06-30_final
2022-10-21 10:53:22	ga_ls8c_ard_3-2-1_106068_2022-10-21_final
2023-03-03 09:40:05	ga_ls8c_ard_3-2-1_093087_2023-03-03_final
2023-06-03 11:37:46	ga_ls8c_ard_3-2-1_113074_2023-06-03_final
2023-07-28 10:09:32	ga_ls8c_ard_3-2-1_098084_2023-07-28_final
2023-08-26 11:14:07	ga_ls8c_ard_3-2-1_109075_2023-08-26_final
2023-10-08 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-10-07_final
2023-10-17 10:46:46	ga_ls8c_ard_3-2-1_105068_2023-10-17_final
2023-11-08 10:10:05	ga_ls8c_ard_3-2-1_099069_2023-11-08_final
2024-02-17 10:33:19	ga_ls8c_ard_3-2-1_102081_2024-02-17_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