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
2013-04-20 10:05:45	ga_ls8c_ard_3-0-0_097085_2013-04-20_final
2013-05-21 11:00:24	ga_ls8c_ard_3-0-0_106082_2013-05-21_final
2013-06-13 09:27:16	ga_ls8c_ard_3-0-0_091081_2013-06-12_final
2013-07-23 10:15:53	ga_ls8c_ard_3-0-0_099079_2013-07-23_final
2013-08-04 10:36:15	ga_ls8c_ard_3-0-0_103068_2013-08-04_final
2013-11-15 09:08:50	ga_ls8c_ard_3-0-0_088082_2013-11-14_final
2013-12-15 09:18:38	ga_ls8c_ard_3-0-0_090076_2013-12-14_final
2014-06-23 09:25:35	ga_ls8c_ard_3-0-0_092067_2014-06-22_final
2014-08-08 09:40:15	ga_ls8c_ard_3-0-0_094072_2014-08-08_final
2014-11-16 09:17:18	ga_ls8c_ard_3-0-0_090076_2014-11-15_final
2014-12-18 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-12-17_final
2015-01-24 11:11:40	ga_ls8c_ard_3-0-0_109069_2015-01-24_final
2015-02-04 09:17:02	ga_ls8c_ard_3-0-0_090076_2015-02-03_final
2015-05-26 11:50:16	ga_ls8c_ard_3-0-0_115075_2015-05-26_final
2015-07-29 11:52:25	ga_ls8c_ard_3-0-0_115079_2015-07-29_final
2015-10-25 09:23:22	ga_ls8c_ard_3-0-0_091076_2015-10-24_final
2015-11-06 11:30:11	ga_ls8c_ard_3-0-0_111084_2015-11-06_final
2016-01-01 10:35:57	ga_ls8c_ard_3-0-0_103072_2016-01-01_final
2016-01-09 11:28:57	ga_ls8c_ard_3-0-0_111081_2016-01-09_final
2016-01-27 11:16:59	ga_ls8c_ard_3-0-0_109082_2016-01-27_final
2016-04-07 09:40:39	ga_ls8c_ard_3-0-0_094074_2016-04-07_final
2016-04-14 11:23:41	ga_ls8c_ard_3-0-0_111069_2016-04-14_final
2016-06-17 11:25:23	ga_ls8c_ard_3-0-0_111073_2016-06-17_final
2016-06-28 09:34:04	ga_ls8c_ard_3-0-0_092088_2016-06-28_final
2016-07-28 11:19:55	ga_ls8c_ard_3-0-0_110074_2016-07-28_final
2016-08-13 09:40:16	ga_ls8c_ard_3-0-0_094072_2016-08-13_final
2016-09-16 09:33:41	ga_ls8c_ard_3-0-0_092086_2016-09-16_final
2016-09-17 11:51:26	ga_ls8c_ard_3-0-0_115075_2016-09-17_final
2016-12-26 09:51:26	ga_ls8c_ard_3-0-0_095084_2016-12-26_final
2016-12-28 11:11:58	ga_ls8c_ard_3-0-0_109069_2016-12-28_final
2017-01-31 11:03:25	ga_ls8c_ard_3-0-0_107079_2017-01-31_final
2017-02-15 10:19:38	ga_ls8c_ard_3-0-0_100078_2017-02-15_final
2017-02-28 09:46:16	ga_ls8c_ard_3-0-0_095072_2017-02-28_final
2017-03-13 09:21:14	ga_ls8c_ard_3-0-0_090087_2017-03-12_final
2017-03-28 10:08:44	ga_ls8c_ard_3-0-0_099067_2017-03-28_final
2017-05-05 09:33:44	ga_ls8c_ard_3-0-0_093073_2017-05-05_final
2017-07-22 11:24:22	ga_ls8c_ard_3-0-0_111070_2017-07-22_final
2017-09-24 11:29:52	ga_ls8c_ard_3-0-0_111083_2017-09-24_final
2018-03-10 09:50:12	ga_ls8c_ard_3-0-0_096067_2018-03-10_final
2018-03-15 10:09:53	ga_ls8c_ard_3-0-0_099070_2018-03-15_final
2018-04-10 10:48:22	ga_ls8c_ard_3-0-0_105074_2018-04-10_final
2018-05-06 09:45:31	ga_ls8c_ard_3-0-0_095072_2018-05-06_final
2018-05-10 09:26:45	ga_ls8c_ard_3-0-0_091087_2018-05-09_final
2018-06-18 09:27:35	ga_ls8c_ard_3-0-0_092074_2018-06-17_final
2018-10-26 10:57:28	ga_ls8c_ard_3-0-0_106080_2018-10-26_final
2018-12-12 11:52:17	ga_ls8c_ard_3-0-0_115078_2018-12-12_final
2019-01-01 09:44:17	ga_ls8c_ard_3-0-0_095067_2019-01-01_final
2019-01-28 09:29:14	ga_ls8c_ard_3-0-0_092076_2019-01-27_final
2019-03-03 09:21:10	ga_ls8c_ard_3-0-0_090087_2019-03-02_final
2019-03-22 09:43:59	ga_ls8c_ard_3-1-0_095067_2019-03-22_final
2019-05-04 09:33:18	ga_ls8c_ard_3-0-0_092087_2019-05-04_final
2019-05-11 11:14:03	ga_ls8c_ard_3-0-0_109076_2019-05-11_final
2019-06-28 09:34:44	ga_ls8c_ard_3-1-0_093074_2019-06-28_final
2019-07-05 09:39:44	ga_ls8c_ard_3-1-0_094071_2019-07-05_final
2019-12-30 09:28:54	ga_ls8c_ard_3-1-0_092074_2019-12-29_final
2019-12-31 10:08:57	ga_ls8c_ard_3-2-1_099066_2019-12-31_final
2020-01-16 10:10:06	ga_ls8c_ard_3-1-0_099069_2020-01-16_final
2020-02-25 09:22:28	ga_ls8c_ard_3-1-0_091074_2020-02-24_final
2020-03-28 09:19:49	ga_ls8c_ard_3-1-0_091068_2020-03-27_final
2020-04-06 09:17:09	ga_ls8c_ard_3-1-0_090077_2020-04-05_final
2020-04-21 10:13:04	ga_ls8c_ard_3-1-0_099078_2020-04-21_final
2020-04-29 09:19:34	ga_ls8c_ard_3-1-0_091068_2020-04-28_final
2020-05-17 10:48:50	ga_ls8c_ard_3-1-0_105075_2020-05-17_final
2020-05-17 10:49:14	ga_ls8c_ard_3-1-0_105076_2020-05-17_final
2020-06-01 10:09:14	ga_ls8c_ard_3-1-0_098084_2020-06-01_final
2020-06-08 10:09:06	ga_ls8c_ard_3-1-0_099068_2020-06-08_final
2020-06-09 10:55:10	ga_ls8c_ard_3-1-0_106075_2020-06-09_final
2020-06-27 10:42:10	ga_ls8c_ard_3-1-0_104073_2020-06-27_final
2020-07-17 11:58:28	ga_ls8c_ard_3-1-0_116078_2020-07-17_final
2020-08-26 11:08:03	ga_ls8c_ard_3-1-0_108075_2020-08-26_final
2020-11-23 11:02:29	ga_ls8c_ard_3-1-0_107076_2020-11-23_final
2021-01-04 09:58:14	ga_ls8c_ard_3-2-0_097070_2021-01-04_final
2021-03-24 10:52:36	ga_ls8c_ard_3-2-0_106068_2021-03-24_final
2021-04-13 10:32:58	ga_ls8c_ard_3-2-0_102081_2021-04-13_final
2021-04-14 09:33:21	ga_ls8c_ard_3-2-0_093071_2021-04-14_final
2021-06-24 11:20:11	ga_ls8c_ard_3-2-0_110075_2021-06-24_final
2021-07-18 10:28:48	ga_ls8c_ard_3-2-0_102070_2021-07-18_final
2021-08-09 11:35:10	ga_ls8c_ard_3-2-0_112081_2021-08-09_final
2021-09-22 11:58:05	ga_ls8c_ard_3-2-0_116076_2021-09-22_final
2021-11-09 10:17:42	ga_ls8c_ard_3-2-0_100072_2021-11-09_final
2021-11-17 09:34:59	ga_ls8c_ard_3-2-0_092089_2021-11-17_final
2022-01-06 09:17:21	ga_ls8c_ard_3-2-1_090076_2022-01-05_final
2022-03-10 10:10:18	ga_ls8c_ard_3-2-1_099070_2022-03-10_final
2022-05-05 11:04:48	ga_ls8c_ard_3-2-1_107083_2022-05-05_final
2022-07-10 10:49:14	ga_ls8c_ard_3-2-1_105074_2022-07-10_final
2022-08-07 11:14:12	ga_ls8c_ard_3-2-1_109074_2022-08-07_final
2022-10-03 09:33:40	ga_ls8c_ard_3-2-1_092085_2022-10-03_final
2022-10-13 10:10:14	ga_ls8c_ard_3-2-1_098084_2022-10-13_final
2022-11-25 09:52:56	ga_ls8c_ard_3-2-1_095087_2022-11-25_final
2022-12-04 11:18:28	ga_ls8c_ard_3-2-1_110069_2022-12-04_final
2023-01-19 09:53:16	ga_ls8c_ard_3-2-1_096073_2023-01-19_final
2023-02-02 10:10:31	ga_ls8c_ard_3-2-1_098085_2023-02-02_final
2023-03-26 11:18:08	ga_ls8c_ard_3-2-1_110070_2023-03-26_final
2023-04-14 10:12:40	ga_ls8c_ard_3-2-1_099077_2023-04-14_final
2023-04-21 10:19:13	ga_ls8c_ard_3-2-1_100078_2023-04-21_final
2023-07-04 09:16:20	ga_ls8c_ard_3-2-1_090075_2023-07-03_final
2023-09-27 11:14:14	ga_ls8c_ard_3-2-1_109075_2023-09-27_final
2023-10-04 11:18:26	ga_ls8c_ard_3-2-1_110070_2023-10-04_final
2024-01-10 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-01-09_final
2024-02-12 10:15:36	ga_ls8c_ard_3-2-1_099083_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