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
2013-04-05 11:06:39	ga_ls8c_ard_3-0-0_108075_2013-04-05_final
2013-04-12 10:48:32	ga_ls8c_ard_3-0-0_105068_2013-04-12_final
2013-04-29 09:59:56	ga_ls8c_ard_3-0-0_096086_2013-04-29_final
2013-05-22 10:05:35	ga_ls8c_ard_3-0-0_097084_2013-05-22_final
2014-02-17 10:59:12	ga_ls8c_ard_3-0-0_106082_2014-02-17_final
2014-06-17 10:03:04	ga_ls8c_ard_3-0-0_098068_2014-06-17_final
2014-07-30 11:29:37	ga_ls8c_ard_3-0-0_111083_2014-07-30_final
2014-12-21 11:25:25	ga_ls8c_ard_3-0-0_111072_2014-12-21_final
2015-01-06 11:25:20	ga_ls8c_ard_3-0-0_111072_2015-01-06_final
2015-03-23 10:09:04	ga_ls8c_ard_3-0-0_099068_2015-03-23_final
2015-04-26 09:56:29	ga_ls8c_ard_3-0-0_097068_2015-04-26_final
2015-06-06 11:29:52	ga_ls8c_ard_3-0-0_112070_2015-06-06_final
2015-06-24 09:43:32	ga_ls8c_ard_3-0-0_094082_2015-06-24_final
2015-07-23 10:49:47	ga_ls8c_ard_3-0-0_105077_2015-07-23_final
2015-07-31 09:56:47	ga_ls8c_ard_3-0-0_097068_2015-07-31_final
2015-08-18 09:45:20	ga_ls8c_ard_3-0-0_095070_2015-08-18_final
2015-09-17 10:03:54	ga_ls8c_ard_3-0-0_097085_2015-09-17_final
2015-10-21 11:25:44	ga_ls8c_ard_3-0-0_111073_2015-10-21_final
2015-12-06 09:57:18	ga_ls8c_ard_3-0-0_097068_2015-12-06_final
2016-01-21 10:10:49	ga_ls8c_ard_3-0-0_099071_2016-01-21_final
2016-03-06 11:23:47	ga_ls8c_ard_3-0-0_110084_2016-03-06_final
2016-06-10 09:45:54	ga_ls8c_ard_3-0-0_094087_2016-06-10_final
2016-08-02 11:42:03	ga_ls8c_ard_3-0-0_113083_2016-08-02_final
2016-08-15 11:11:12	ga_ls8c_ard_3-0-0_108083_2016-08-15_final
2016-10-23 09:51:56	ga_ls8c_ard_3-0-0_095085_2016-10-23_final
2017-02-28 09:46:40	ga_ls8c_ard_3-0-0_095073_2017-02-28_final
2017-05-04 10:32:33	ga_ls8c_ard_3-0-0_102081_2017-05-04_final
2017-05-19 11:23:10	ga_ls8c_ard_3-0-0_111068_2017-05-19_final
2017-06-11 09:57:03	ga_ls8c_ard_3-0-0_096084_2017-06-11_final
2017-06-23 10:20:38	ga_ls8c_ard_3-0-0_100081_2017-06-23_final
2017-12-06 11:18:51	ga_ls8c_ard_3-0-0_110071_2017-12-06_final
2017-12-17 10:59:57	ga_ls8c_ard_3-0-0_107070_2017-12-17_final
2017-12-29 11:27:03	ga_ls8c_ard_3-0-0_111076_2017-12-29_final
2018-03-19 11:23:14	ga_ls8c_ard_3-0-0_111068_2018-03-19_final
2018-06-30 11:29:43	ga_ls8c_ard_3-0-0_112070_2018-06-30_final
2018-11-06 10:39:22	ga_ls8c_ard_3-0-0_103081_2018-11-06_final
2018-11-28 09:59:05	ga_ls8c_ard_3-0-0_097073_2018-11-28_final
2019-02-13 11:07:17	ga_ls8c_ard_3-0-0_108074_2019-02-13_final
2019-03-06 11:23:21	ga_ls8c_ard_3-0-0_111068_2019-03-06_final
2019-03-29 09:52:56	ga_ls8c_ard_3-1-0_096074_2019-03-29_final
2019-05-23 09:56:49	ga_ls8c_ard_3-0-0_097068_2019-05-23_final
2019-06-15 11:44:27	ga_ls8c_ard_3-1-0_114074_2019-06-15_final
2019-07-08 10:09:03	ga_ls8c_ard_3-1-0_099067_2019-07-08_final
2020-01-09 10:03:57	ga_ls8c_ard_3-1-0_098069_2020-01-09_final
2020-02-05 11:24:09	ga_ls8c_ard_3-1-0_111069_2020-02-05_final
2020-02-08 11:58:38	ga_ls8c_ard_3-1-0_116078_2020-02-08_final
2020-02-23 11:13:43	ga_ls8c_ard_3-1-0_109074_2020-02-23_final
2020-05-06 11:10:57	ga_ls8c_ard_3-1-0_108084_2020-05-06_final
2020-06-10 11:41:38	ga_ls8c_ard_3-1-0_113083_2020-06-10_final
2020-08-12 09:22:40	ga_ls8c_ard_3-1-0_090090_2020-08-11_final
2020-08-22 09:58:15	ga_ls8c_ard_3-1-0_096086_2020-08-22_final
2020-08-22 11:32:20	ga_ls8c_ard_3-1-0_112074_2020-08-22_final
2020-11-17 11:37:57	ga_ls8c_ard_3-1-0_113072_2020-11-17_final
2020-11-19 11:24:24	ga_ls8c_ard_3-1-0_111069_2020-11-19_final
2021-01-11 10:07:09	ga_ls8c_ard_3-2-0_098077_2021-01-11_final
2021-02-17 10:27:09	ga_ls8c_ard_3-2-0_101081_2021-02-17_final
2021-02-22 10:41:16	ga_ls8c_ard_3-2-0_104070_2021-02-22_final
2021-03-02 11:30:39	ga_ls8c_ard_3-2-0_112070_2021-03-02_final
2021-03-07 10:09:52	ga_ls8c_ard_3-2-0_099069_2021-03-07_final
2021-03-20 09:40:02	ga_ls8c_ard_3-2-0_094072_2021-03-20_final
2021-05-04 10:51:42	ga_ls8c_ard_3-2-0_105082_2021-05-04_final
2021-05-11 09:16:14	ga_ls8c_ard_3-2-0_090075_2021-05-10_final
2021-06-04 11:41:36	ga_ls8c_ard_3-2-0_114067_2021-06-04_final
2021-06-09 10:22:29	ga_ls8c_ard_3-2-0_101070_2021-06-09_final
2021-06-29 09:57:03	ga_ls8c_ard_3-2-0_097068_2021-06-29_final
2021-07-01 11:26:47	ga_ls8c_ard_3-2-0_111076_2021-07-01_final
2021-07-24 11:30:40	ga_ls8c_ard_3-2-0_112070_2021-07-24_final
2021-08-02 11:24:33	ga_ls8c_ard_3-2-0_111070_2021-08-02_final
2021-08-27 09:40:01	ga_ls8c_ard_3-2-0_094071_2021-08-27_final
2021-08-31 09:21:43	ga_ls8c_ard_3-2-0_090087_2021-08-30_final
2021-10-17 10:09:33	ga_ls8c_ard_3-2-0_099067_2021-10-17_final
2022-01-17 10:37:39	ga_ls8c_ard_3-2-1_103076_2022-01-17_final
2022-02-07 10:58:30	ga_ls8c_ard_3-2-1_106082_2022-02-07_final
2022-02-08 10:04:04	ga_ls8c_ard_3-2-1_097085_2022-02-08_final
2022-04-13 09:56:36	ga_ls8c_ard_3-2-1_097067_2022-04-13_final
2022-05-08 09:52:03	ga_ls8c_ard_3-2-1_096071_2022-05-08_final
2022-05-22 10:02:54	ga_ls8c_ard_3-2-1_098067_2022-05-22_final
2022-05-29 10:09:04	ga_ls8c_ard_3-2-1_099067_2022-05-29_final
2022-06-03 10:30:05	ga_ls8c_ard_3-2-1_102073_2022-06-03_final
2022-06-11 11:20:26	ga_ls8c_ard_3-2-1_110075_2022-06-11_final
2022-06-16 11:40:13	ga_ls8c_ard_3-2-1_113078_2022-06-16_final
2022-08-30 11:20:50	ga_ls8c_ard_3-2-1_110075_2022-08-30_final
2022-09-02 10:10:03	ga_ls8c_ard_3-2-1_099068_2022-09-02_final
2022-10-04 10:16:08	ga_ls8c_ard_3-2-1_099083_2022-10-04_final
2023-02-06 09:40:12	ga_ls8c_ard_3-2-1_094071_2023-02-06_final
2023-02-10 10:55:31	ga_ls8c_ard_3-2-1_106074_2023-02-10_final
2023-02-18 11:46:02	ga_ls8c_ard_3-2-1_114077_2023-02-18_final
2023-03-01 11:28:56	ga_ls8c_ard_3-2-1_111081_2023-03-01_final
2023-03-13 10:09:06	ga_ls8c_ard_3-2-1_099067_2023-03-13_final
2023-03-17 11:23:38	ga_ls8c_ard_3-2-1_111068_2023-03-17_final
2023-04-14 10:08:41	ga_ls8c_ard_3-2-1_099067_2023-04-14_final
2023-05-11 11:31:35	ga_ls8c_ard_3-2-1_112074_2023-05-11_final
2023-06-08 10:18:42	ga_ls8c_ard_3-2-1_100077_2023-06-08_final
2023-06-22 10:27:56	ga_ls8c_ard_3-2-1_102069_2023-06-22_final
2023-08-24 11:24:29	ga_ls8c_ard_3-2-1_111070_2023-08-24_final
2023-11-28 11:25:07	ga_ls8c_ard_3-2-1_111071_2023-11-28_final
2023-12-14 11:26:16	ga_ls8c_ard_3-2-1_111074_2023-12-14_final
2023-12-16 11:17:07	ga_ls8c_ard_3-2-1_109082_2023-12-16_final
2024-03-08 10:04:48	ga_ls8c_ard_3-2-1_098072_2024-03-08_final
2024-03-25 10:45:52	ga_ls8c_ard_3-2-1_105067_2024-03-25_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