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
2013-06-05 10:12:22	ga_ls8c_ard_3-0-0_099070_2013-06-05_final
2013-07-29 09:34:02	ga_ls8c_ard_3-0-0_093067_2013-07-29_final
2013-11-08 10:39:59	ga_ls8c_ard_3-0-0_103078_2013-11-08_final
2014-03-06 11:41:48	ga_ls8c_ard_3-0-0_113081_2014-03-06_final
2014-04-03 10:23:17	ga_ls8c_ard_3-0-0_101071_2014-04-03_final
2014-07-18 09:23:33	ga_ls8c_ard_3-0-0_091077_2014-07-17_final
2014-08-13 11:37:42	ga_ls8c_ard_3-0-0_113072_2014-08-13_final
2014-09-11 11:06:30	ga_ls8c_ard_3-0-0_108071_2014-09-11_final
2014-10-31 10:52:33	ga_ls8c_ard_3-0-0_106067_2014-10-31_final
2014-11-15 10:11:20	ga_ls8c_ard_3-0-0_099072_2014-11-15_final
2014-12-02 09:18:05	ga_ls8c_ard_3-0-0_090078_2014-12-01_final
2015-01-28 10:46:34	ga_ls8c_ard_3-0-0_105068_2015-01-28_final
2015-04-15 10:19:05	ga_ls8c_ard_3-0-0_100078_2015-04-15_final
2015-06-20 10:03:03	ga_ls8c_ard_3-0-0_098069_2015-06-20_final
2015-07-06 10:06:24	ga_ls8c_ard_3-0-0_098077_2015-07-06_final
2015-09-11 10:39:20	ga_ls8c_ard_3-0-0_103081_2015-09-11_final
2015-12-10 09:40:32	ga_ls8c_ard_3-0-0_093088_2015-12-10_final
2016-02-03 09:45:27	ga_ls8c_ard_3-0-0_094085_2016-02-03_final
2016-02-12 09:34:01	ga_ls8c_ard_3-0-0_093072_2016-02-12_final
2016-02-16 09:16:02	ga_ls8c_ard_3-0-0_089089_2016-02-15_final
2016-06-19 11:17:02	ga_ls8c_ard_3-0-0_109083_2016-06-19_final
2016-06-29 10:15:20	ga_ls8c_ard_3-0-0_099083_2016-06-29_final
2016-08-20 11:24:36	ga_ls8c_ard_3-0-0_111070_2016-08-20_final
2016-09-05 11:30:17	ga_ls8c_ard_3-0-0_111084_2016-09-05_final
2016-10-02 09:29:42	ga_ls8c_ard_3-0-0_092076_2016-10-01_final
2016-10-26 10:21:39	ga_ls8c_ard_3-0-0_100082_2016-10-26_final
2017-01-16 10:09:53	ga_ls8c_ard_3-0-0_098084_2017-01-16_final
2017-02-04 10:39:03	ga_ls8c_ard_3-0-0_103080_2017-02-04_final
2017-03-16 11:25:24	ga_ls8c_ard_3-0-0_111073_2017-03-16_final
2017-03-24 10:39:03	ga_ls8c_ard_3-0-0_103081_2017-03-24_final
2017-03-28 10:13:55	ga_ls8c_ard_3-0-0_099080_2017-03-28_final
2017-04-13 10:09:48	ga_ls8c_ard_3-0-0_099070_2017-04-13_final
2017-07-31 11:18:40	ga_ls8c_ard_3-0-0_110071_2017-07-31_final
2018-01-19 10:06:57	ga_ls8c_ard_3-0-0_098077_2018-01-19_final
2018-07-30 10:08:36	ga_ls8c_ard_3-0-0_098083_2018-07-30_final
2018-09-16 10:09:21	ga_ls8c_ard_3-0-0_098084_2018-09-16_final
2018-10-15 11:16:45	ga_ls8c_ard_3-0-0_109082_2018-10-15_final
2018-11-14 09:46:44	ga_ls8c_ard_3-0-0_095073_2018-11-14_final
2018-12-08 10:35:44	ga_ls8c_ard_3-0-0_103072_2018-12-08_final
2018-12-19 10:16:47	ga_ls8c_ard_3-0-0_100071_2018-12-19_final
2019-04-03 10:15:27	ga_ls8c_ard_3-1-0_099084_2019-04-03_final
2019-05-17 10:34:14	ga_ls8c_ard_3-0-0_103069_2019-05-17_final
2019-05-31 09:15:50	ga_ls8c_ard_3-0-0_089089_2019-05-30_final
2019-05-31 10:49:07	ga_ls8c_ard_3-0-0_105075_2019-05-31_final
2019-07-08 11:52:20	ga_ls8c_ard_3-1-0_115078_2019-07-08_final
2019-08-13 11:24:13	ga_ls8c_ard_3-1-0_111069_2019-08-13_final
2019-09-01 11:58:47	ga_ls8c_ard_3-1-0_116078_2019-09-01_final
2019-09-26 10:09:52	ga_ls8c_ard_3-1-0_099068_2019-09-26_final
2019-10-08 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-10-08_final
2019-10-26 10:28:16	ga_ls8c_ard_3-1-0_101083_2019-10-26_final
2019-11-01 11:26:28	ga_ls8c_ard_3-1-0_111074_2019-11-01_final
2019-11-07 09:14:53	ga_ls8c_ard_3-1-0_089085_2019-11-06_final
2019-11-26 09:45:44	ga_ls8c_ard_3-1-0_094085_2019-11-26_final
2019-12-07 09:27:59	ga_ls8c_ard_3-1-0_091087_2019-12-06_final
2020-01-08 11:03:57	ga_ls8c_ard_3-1-0_107080_2020-01-08_final
2020-01-17 10:54:57	ga_ls8c_ard_3-1-0_106073_2020-01-17_final
2020-02-25 09:22:28	ga_ls8c_ard_3-1-0_091074_2020-02-24_final
2020-03-21 10:52:36	ga_ls8c_ard_3-1-0_106068_2020-03-21_final
2020-04-02 11:22:47	ga_ls8c_ard_3-1-0_110082_2020-04-02_final
2020-08-16 10:30:29	ga_ls8c_ard_3-1-0_102074_2020-08-16_final
2020-10-10 10:38:34	ga_ls8c_ard_3-1-0_103078_2020-10-10_final
2020-11-12 11:18:11	ga_ls8c_ard_3-1-0_110069_2020-11-12_final
2020-11-20 10:29:11	ga_ls8c_ard_3-1-0_102070_2020-11-20_final
2020-11-27 10:34:59	ga_ls8c_ard_3-1-0_103069_2020-11-27_final
2020-11-29 10:25:02	ga_ls8c_ard_3-1-0_101075_2020-11-29_final
2020-12-09 11:05:19	ga_ls8c_ard_3-1-0_107083_2020-12-09_final
2020-12-17 11:53:09	ga_ls8c_ard_3-2-0_115079_2020-12-17_final
2021-01-08 11:13:57	ga_ls8c_ard_3-2-0_109074_2021-01-08_final
2021-01-12 09:11:31	ga_ls8c_ard_3-2-0_089077_2021-01-11_final
2021-01-18 10:11:16	ga_ls8c_ard_3-2-0_099072_2021-01-18_final
2021-03-05 10:25:50	ga_ls8c_ard_3-2-0_101078_2021-03-05_final
2021-03-16 10:04:23	ga_ls8c_ard_3-2-0_098071_2021-03-16_final
2021-05-20 10:48:38	ga_ls8c_ard_3-2-0_105074_2021-05-20_final
2021-05-26 10:15:36	ga_ls8c_ard_3-2-0_099084_2021-05-26_final
2021-07-29 11:52:26	ga_ls8c_ard_3-2-0_115078_2021-07-29_final
2021-09-19 11:24:47	ga_ls8c_ard_3-2-0_111070_2021-09-19_final
2021-11-02 10:14:44	ga_ls8c_ard_3-2-0_099080_2021-11-02_final
2021-11-30 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-30_final
2022-03-23 11:18:09	ga_ls8c_ard_3-2-1_110070_2022-03-23_final
2022-03-31 10:29:00	ga_ls8c_ard_3-2-1_102071_2022-03-31_final
2022-04-27 11:51:46	ga_ls8c_ard_3-2-1_115077_2022-04-27_final
2022-05-19 09:34:47	ga_ls8c_ard_3-2-1_093074_2022-05-19_final
2022-08-25 09:29:24	ga_ls8c_ard_3-2-1_091090_2022-08-24_final
2022-09-06 09:46:34	ga_ls8c_ard_3-2-1_095071_2022-09-06_final
2022-09-12 09:11:08	ga_ls8c_ard_3-2-1_089075_2022-09-11_final
2023-01-12 11:24:51	ga_ls8c_ard_3-2-1_111070_2023-01-12_final
2023-02-03 10:48:59	ga_ls8c_ard_3-2-1_105073_2023-02-03_final
2023-03-12 09:33:02	ga_ls8c_ard_3-2-1_092085_2023-03-12_final
2023-05-02 10:01:01	ga_ls8c_ard_3-2-1_097079_2023-05-02_final
2023-06-07 09:39:25	ga_ls8c_ard_3-2-1_093087_2023-06-07_final
2023-06-21 11:28:21	ga_ls8c_ard_3-2-1_111081_2023-06-21_final
2023-10-19 10:39:35	ga_ls8c_ard_3-2-1_103081_2023-10-19_final
2023-10-23 11:52:35	ga_ls8c_ard_3-2-1_115078_2023-10-23_final
2023-11-19 09:58:24	ga_ls8c_ard_3-2-1_096086_2023-11-19_final
2023-12-12 09:58:07	ga_ls8c_ard_3-2-1_097070_2023-12-12_final
2024-01-27 10:13:07	ga_ls8c_ard_3-2-1_099077_2024-01-27_final
2024-02-19 10:16:58	ga_ls8c_ard_3-2-1_100071_2024-02-19_final
2024-03-08 10:09:12	ga_ls8c_ard_3-2-1_098083_2024-03-08_final
2024-03-23 11:04:40	ga_ls8c_ard_3-2-1_107083_2024-03-23_final
2024-03-28 11:18:42	ga_ls8c_ard_3-2-1_110072_2024-03-28_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