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
2013-04-06 10:07:30	ga_ls8c_ard_3-0-0_098077_2013-04-06_final
2013-08-13 10:35:16	ga_ls8c_ard_3-0-0_102081_2013-08-13_final
2013-12-02 09:48:02	ga_ls8c_ard_3-0-0_095072_2013-12-02_final
2013-12-29 09:30:05	ga_ls8c_ard_3-0-0_092074_2013-12-29_final
2014-03-15 11:36:46	ga_ls8c_ard_3-0-0_112084_2014-03-15_final
2014-04-22 09:22:10	ga_ls8c_ard_3-1-0_090089_2014-04-21_final
2014-06-07 09:33:55	ga_ls8c_ard_3-0-0_092088_2014-06-07_final
2014-07-14 11:23:57	ga_ls8c_ard_3-0-0_111069_2014-07-14_final
2014-11-01 09:57:45	ga_ls8c_ard_3-0-0_097069_2014-11-01_final
2014-11-08 10:10:22	ga_ls8c_ard_3-0-0_098085_2014-11-08_final
2014-12-22 10:33:23	ga_ls8c_ard_3-0-0_102081_2014-12-22_final
2015-02-03 10:09:52	ga_ls8c_ard_3-0-0_099069_2015-02-03_final
2015-02-10 10:19:10	ga_ls8c_ard_3-0-0_100077_2015-02-10_final
2015-12-20 10:13:40	ga_ls8c_ard_3-0-0_099078_2015-12-20_final
2016-01-15 10:49:05	ga_ls8c_ard_3-0-0_105074_2016-01-15_final
2016-04-09 09:28:17	ga_ls8c_ard_3-0-0_092074_2016-04-08_final
2016-04-14 09:45:12	ga_ls8c_ard_3-0-0_095070_2016-04-14_final
2016-08-24 09:29:00	ga_ls8c_ard_3-0-0_091090_2016-08-23_final
2016-10-20 10:53:08	ga_ls8c_ard_3-0-0_106068_2016-10-20_final
2016-11-26 09:34:23	ga_ls8c_ard_3-0-0_093072_2016-11-26_final
2016-12-22 10:13:21	ga_ls8c_ard_3-0-0_099077_2016-12-22_final
2017-02-17 10:04:28	ga_ls8c_ard_3-0-0_098071_2017-02-17_final
2017-04-20 10:18:42	ga_ls8c_ard_3-0-0_100077_2017-04-20_final
2017-09-03 09:28:46	ga_ls8c_ard_3-0-0_092074_2017-09-02_final
2017-09-15 11:29:59	ga_ls8c_ard_3-0-0_112068_2017-09-15_final
2017-10-05 09:26:31	ga_ls8c_ard_3-0-0_092068_2017-10-04_final
2017-12-04 09:51:32	ga_ls8c_ard_3-0-0_096069_2017-12-04_final
2018-01-11 09:17:11	ga_ls8c_ard_3-0-0_090076_2018-01-10_final
2018-01-27 09:17:02	ga_ls8c_ard_3-0-0_090076_2018-01-26_final
2018-01-27 10:55:31	ga_ls8c_ard_3-0-0_106075_2018-01-27_final
2018-02-19 09:25:51	ga_ls8c_ard_3-0-0_091083_2018-02-18_final
2018-03-03 11:24:11	ga_ls8c_ard_3-0-0_111070_2018-03-03_final
2018-03-22 10:18:49	ga_ls8c_ard_3-0-0_100077_2018-03-22_final
2018-06-02 09:27:27	ga_ls8c_ard_3-0-0_092074_2018-06-01_final
2018-07-01 10:33:42	ga_ls8c_ard_3-0-0_103069_2018-07-01_final
2018-09-04 09:37:48	ga_ls8c_ard_3-0-0_094067_2018-09-04_final
2018-10-08 09:28:27	ga_ls8c_ard_3-1-0_092074_2018-10-07_final
2018-11-07 09:38:09	ga_ls8c_ard_3-0-0_094067_2018-11-07_final
2018-11-19 10:02:29	ga_ls8c_ard_3-2-1_098066_2018-11-19_final
2018-12-21 10:09:13	ga_ls8c_ard_3-0-0_098083_2018-12-21_final
2018-12-25 11:17:47	ga_ls8c_ard_3-0-0_110069_2018-12-25_final
2018-12-29 09:16:58	ga_ls8c_ard_3-0-0_090076_2018-12-28_final
2019-01-12 09:28:30	ga_ls8c_ard_3-0-0_092074_2019-01-11_final
2019-02-20 11:13:27	ga_ls8c_ard_3-0-0_109074_2019-02-20_final
2019-03-06 11:25:20	ga_ls8c_ard_3-0-0_111073_2019-03-06_final
2019-03-17 11:07:08	ga_ls8c_ard_3-1-0_108074_2019-03-17_final
2019-03-29 11:30:13	ga_ls8c_ard_3-1-0_112070_2019-03-29_final
2019-04-06 09:06:39	ga_ls8c_ard_3-1-0_088082_2019-04-05_final
2019-04-19 11:50:38	ga_ls8c_ard_3-1-0_115075_2019-04-19_final
2019-04-20 10:55:24	ga_ls8c_ard_3-0-0_106076_2019-04-20_final
2019-07-21 11:17:53	ga_ls8c_ard_3-1-0_110069_2019-07-21_final
2019-11-05 09:22:28	ga_ls8c_ard_3-1-0_091073_2019-11-04_final
2019-11-12 09:28:13	ga_ls8c_ard_3-1-0_092072_2019-11-11_final
2019-12-23 09:21:57	ga_ls8c_ard_3-1-0_091072_2019-12-22_final
2020-01-01 09:17:19	ga_ls8c_ard_3-1-0_090076_2019-12-31_final
2020-02-17 10:10:45	ga_ls8c_ard_3-1-0_099071_2020-02-17_final
2020-02-24 10:19:42	ga_ls8c_ard_3-1-0_100078_2020-02-24_final
2020-06-05 09:37:46	ga_ls8c_ard_3-1-0_094067_2020-06-05_final
2020-06-21 11:19:36	ga_ls8c_ard_3-1-0_110074_2020-06-21_final
2020-08-03 09:20:02	ga_ls8c_ard_3-1-0_091068_2020-08-02_final
2020-09-09 09:40:26	ga_ls8c_ard_3-1-0_094072_2020-09-09_final
2020-09-11 11:08:10	ga_ls8c_ard_3-1-0_108075_2020-09-11_final
2020-10-27 11:20:14	ga_ls8c_ard_3-1-0_110074_2020-10-27_final
2020-12-20 10:46:21	ga_ls8c_ard_3-2-0_104082_2020-12-20_final
2021-01-05 10:42:41	ga_ls8c_ard_3-2-0_104073_2021-01-05_final
2021-02-04 10:53:43	ga_ls8c_ard_3-2-0_106070_2021-02-04_final
2021-04-14 09:33:44	ga_ls8c_ard_3-2-0_093072_2021-04-14_final
2021-05-13 09:07:05	ga_ls8c_ard_3-2-0_088083_2021-05-12_final
2021-05-31 10:32:59	ga_ls8c_ard_3-2-0_102081_2021-05-31_final
2021-06-12 10:55:24	ga_ls8c_ard_3-2-0_106075_2021-06-12_final
2021-10-11 09:10:56	ga_ls8c_ard_3-2-0_089075_2021-10-10_final
2021-11-10 09:20:28	ga_ls8c_ard_3-2-0_091068_2021-11-09_final
2021-11-18 10:16:14	ga_ls8c_ard_3-2-0_099084_2021-11-18_final
2021-12-10 11:12:05	ga_ls8c_ard_3-2-1_109069_2021-12-10_final
2022-02-03 09:40:21	ga_ls8c_ard_3-2-1_094072_2022-02-03_final
2022-03-03 10:04:10	ga_ls8c_ard_3-2-1_098070_2022-03-03_final
2022-03-23 11:23:44	ga_ls8c_ard_3-2-1_110084_2022-03-23_final
2022-04-27 10:12:53	ga_ls8c_ard_3-2-1_099077_2022-04-27_final
2022-05-23 09:11:39	ga_ls8c_ard_3-2-1_089078_2022-05-22_final
2022-05-26 09:44:56	ga_ls8c_ard_3-2-1_094084_2022-05-26_final
2022-06-30 10:10:58	ga_ls8c_ard_3-2-1_099071_2022-06-30_final
2022-08-16 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-08-15_final
2022-08-18 09:17:38	ga_ls8c_ard_3-2-1_090076_2022-08-17_final
2022-11-05 10:14:09	ga_ls8c_ard_3-2-1_099078_2022-11-05_final
2022-12-09 09:57:43	ga_ls8c_ard_3-2-1_097068_2022-12-09_final
2023-02-01 09:28:03	ga_ls8c_ard_3-2-1_091087_2023-01-31_final
2023-02-17 09:21:55	ga_ls8c_ard_3-2-1_091072_2023-02-16_final
2023-03-28 09:28:29	ga_ls8c_ard_3-2-1_092074_2023-03-27_final
2023-06-14 09:39:17	ga_ls8c_ard_3-2-1_094071_2023-06-14_final
2023-07-04 09:16:20	ga_ls8c_ard_3-2-1_090075_2023-07-03_final
2023-07-09 09:33:44	ga_ls8c_ard_3-2-1_093072_2023-07-09_final
2023-07-16 09:39:32	ga_ls8c_ard_3-2-1_094071_2023-07-16_final
2023-08-30 09:10:07	ga_ls8c_ard_3-2-1_089074_2023-08-29_final
2023-09-20 09:27:56	ga_ls8c_ard_3-2-1_092072_2023-09-19_final
2023-11-15 11:57:59	ga_ls8c_ard_3-2-1_116076_2023-11-15_final
2023-11-25 09:16:57	ga_ls8c_ard_3-2-1_090075_2023-11-24_final
2023-12-12 09:56:55	ga_ls8c_ard_3-2-1_097067_2023-12-12_final
2024-01-17 11:12:39	ga_ls8c_ard_3-2-1_109071_2024-01-17_final
2024-02-04 09:22:58	ga_ls8c_ard_3-2-1_091075_2024-02-03_final
2024-03-15 10:10:33	ga_ls8c_ard_3-2-1_099071_2024-03-15_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