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
2013-04-11 10:07:26	ga_ls8c_ard_3-0-0_098068_2013-04-11_final
2013-09-29 11:31:33	ga_ls8c_ard_3-0-0_111083_2013-09-29_final
2013-10-22 09:58:46	ga_ls8c_ard_3-0-0_096083_2013-10-22_final
2013-11-09 11:19:39	ga_ls8c_ard_3-0-0_110069_2013-11-09_final
2013-12-07 10:09:45	ga_ls8c_ard_3-0-0_098080_2013-12-07_final
2014-01-07 09:29:23	ga_ls8c_ard_3-0-0_091088_2014-01-06_final
2014-01-22 10:22:50	ga_ls8c_ard_3-0-0_100083_2014-01-22_final
2014-02-07 10:23:04	ga_ls8c_ard_3-0-0_100084_2014-02-07_final
2014-04-04 09:28:51	ga_ls8c_ard_3-0-0_092074_2014-04-03_final
2014-05-22 09:28:10	ga_ls8c_ard_3-0-0_092074_2014-05-21_final
2014-08-10 09:25:55	ga_ls8c_ard_3-0-0_092067_2014-08-09_final
2014-12-16 09:27:58	ga_ls8c_ard_3-0-0_092072_2014-12-15_final
2014-12-17 10:13:14	ga_ls8c_ard_3-0-0_099077_2014-12-17_final
2014-12-17 10:16:02	ga_ls8c_ard_3-0-0_099084_2014-12-17_final
2015-01-07 10:33:18	ga_ls8c_ard_3-0-0_102081_2015-01-07_final
2015-01-18 10:13:55	ga_ls8c_ard_3-0-0_099079_2015-01-18_final
2015-02-02 09:28:36	ga_ls8c_ard_3-0-0_092074_2015-02-01_final
2015-02-03 11:52:45	ga_ls8c_ard_3-0-0_115079_2015-02-03_final
2015-08-14 10:13:13	ga_ls8c_ard_3-0-0_099078_2015-08-14_final
2015-09-05 09:33:52	ga_ls8c_ard_3-0-0_093072_2015-09-05_final
2015-10-14 11:17:07	ga_ls8c_ard_3-0-0_110067_2015-10-14_final
2015-11-03 10:54:06	ga_ls8c_ard_3-0-0_106071_2015-11-03_final
2015-12-12 09:28:59	ga_ls8c_ard_3-0-0_091090_2015-12-11_final
2016-03-12 10:42:17	ga_ls8c_ard_3-0-0_104073_2016-03-12_final
2016-04-30 09:46:00	ga_ls8c_ard_3-0-0_095072_2016-04-30_final
2016-05-28 11:52:51	ga_ls8c_ard_3-0-0_115080_2016-05-28_final
2016-07-03 11:25:33	ga_ls8c_ard_3-0-0_111073_2016-07-03_final
2016-07-07 11:04:03	ga_ls8c_ard_3-0-0_107081_2016-07-07_final
2016-12-10 11:24:23	ga_ls8c_ard_3-0-0_111069_2016-12-10_final
2016-12-15 10:04:01	ga_ls8c_ard_3-0-0_098069_2016-12-15_final
2017-03-07 11:30:28	ga_ls8c_ard_3-0-0_112070_2017-03-07_final
2017-03-17 10:27:46	ga_ls8c_ard_3-0-0_102068_2017-03-17_final
2017-05-02 10:44:29	ga_ls8c_ard_3-0-0_104080_2017-05-02_final
2017-06-04 09:45:38	ga_ls8c_ard_3-0-0_095071_2017-06-04_final
2017-07-30 10:38:11	ga_ls8c_ard_3-0-0_103078_2017-07-30_final
2017-08-02 09:34:13	ga_ls8c_ard_3-0-0_092088_2017-08-02_final
2017-08-13 10:52:14	ga_ls8c_ard_3-0-0_105082_2017-08-13_final
2017-09-24 09:52:11	ga_ls8c_ard_3-0-0_095086_2017-09-24_final
2017-11-13 09:34:18	ga_ls8c_ard_3-0-0_093072_2017-11-13_final
2018-03-02 09:07:14	ga_ls8c_ard_3-0-0_088083_2018-03-01_final
2018-05-31 09:38:37	ga_ls8c_ard_3-0-0_094071_2018-05-31_final
2018-09-21 10:22:44	ga_ls8c_ard_3-0-0_101071_2018-09-21_final
2018-10-04 11:31:14	ga_ls8c_ard_3-0-0_112072_2018-10-04_final
2018-10-20 11:31:20	ga_ls8c_ard_3-0-0_112072_2018-10-20_final
2018-11-28 09:56:42	ga_ls8c_ard_3-0-0_097067_2018-11-28_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2019-01-29 10:12:06	ga_ls8c_ard_3-0-0_099075_2019-01-29_final
2019-02-11 09:39:35	ga_ls8c_ard_3-0-0_094071_2019-02-11_final
2019-03-22 11:25:16	ga_ls8c_ard_3-1-0_111073_2019-03-22_final
2019-05-15 10:48:58	ga_ls8c_ard_3-0-0_105075_2019-05-15_final
2019-06-12 11:13:56	ga_ls8c_ard_3-1-0_109075_2019-06-12_final
2019-07-21 11:17:53	ga_ls8c_ard_3-1-0_110069_2019-07-21_final
2019-08-25 10:13:42	ga_ls8c_ard_3-1-0_099078_2019-08-25_final
2019-10-13 10:55:58	ga_ls8c_ard_3-1-0_106075_2019-10-13_final
2019-10-25 11:18:18	ga_ls8c_ard_3-1-0_110069_2019-10-25_final
2019-11-10 09:40:11	ga_ls8c_ard_3-1-0_094071_2019-11-10_final
2019-11-27 10:23:00	ga_ls8c_ard_3-1-0_101070_2019-11-27_final
2019-11-28 09:28:11	ga_ls8c_ard_3-1-0_092072_2019-11-27_final
2019-12-05 09:34:45	ga_ls8c_ard_3-1-0_093073_2019-12-05_final
2019-12-29 10:24:55	ga_ls8c_ard_3-1-0_101075_2019-12-29_final
2019-12-30 09:28:06	ga_ls8c_ard_3-1-0_092072_2019-12-29_final
2020-01-11 11:32:27	ga_ls8c_ard_3-1-0_112074_2020-01-11_final
2020-02-03 09:57:38	ga_ls8c_ard_3-1-0_097069_2020-02-03_final
2020-03-04 10:11:04	ga_ls8c_ard_3-1-0_099072_2020-03-04_final
2020-04-16 11:31:04	ga_ls8c_ard_3-1-0_112072_2020-04-16_final
2020-04-23 09:57:06	ga_ls8c_ard_3-1-0_097069_2020-04-23_final
2020-05-04 11:18:33	ga_ls8c_ard_3-1-0_110072_2020-05-04_final
2020-07-10 10:10:10	ga_ls8c_ard_3-1-0_099070_2020-07-10_final
2020-09-12 11:53:26	ga_ls8c_ard_3-1-0_115080_2020-09-12_final
2020-10-17 09:07:52	ga_ls8c_ard_3-1-0_088083_2020-10-16_final
2020-10-20 09:34:23	ga_ls8c_ard_3-1-0_093072_2020-10-20_final
2020-12-01 11:53:09	ga_ls8c_ard_3-1-0_115079_2020-12-01_final
2021-01-12 10:49:12	ga_ls8c_ard_3-2-0_105074_2021-01-12_final
2021-04-19 11:31:55	ga_ls8c_ard_3-2-0_112074_2021-04-19_final
2021-05-02 09:23:13	ga_ls8c_ard_3-2-0_091077_2021-05-01_final
2021-07-10 11:23:00	ga_ls8c_ard_3-2-0_110082_2021-07-10_final
2021-07-17 11:29:12	ga_ls8c_ard_3-2-0_111082_2021-07-17_final
2021-07-24 09:51:23	ga_ls8c_ard_3-2-0_096069_2021-07-24_final
2021-07-31 09:57:37	ga_ls8c_ard_3-2-0_097069_2021-07-31_final
2021-08-30 11:53:01	ga_ls8c_ard_3-2-0_115079_2021-08-30_final
2021-09-30 09:29:01	ga_ls8c_ard_3-2-0_092074_2021-09-29_final
2021-10-09 11:05:21	ga_ls8c_ard_3-2-0_107083_2021-10-09_final
2021-12-27 10:19:35	ga_ls8c_ard_3-2-1_100077_2021-12-27_final
2022-01-02 09:40:52	ga_ls8c_ard_3-2-1_094073_2022-01-02_final
2022-01-06 09:20:32	ga_ls8c_ard_3-2-1_090084_2022-01-05_final
2022-01-19 10:22:53	ga_ls8c_ard_3-2-1_101070_2022-01-19_final
2022-01-25 09:50:57	ga_ls8c_ard_3-2-1_095083_2022-01-25_final
2022-04-08 11:23:41	ga_ls8c_ard_3-2-1_110084_2022-04-08_final
2022-05-13 10:08:39	ga_ls8c_ard_3-2-1_099066_2022-05-13_final
2022-07-20 09:51:28	ga_ls8c_ard_3-2-1_095084_2022-07-20_final
2022-09-04 11:42:35	ga_ls8c_ard_3-2-1_113083_2022-09-04_final
2022-09-17 09:35:41	ga_ls8c_ard_3-2-1_092090_2022-09-17_final
2022-10-06 10:01:45	ga_ls8c_ard_3-2-1_097078_2022-10-06_final
2022-10-08 09:46:35	ga_ls8c_ard_3-2-1_095071_2022-10-08_final
2022-11-18 11:18:25	ga_ls8c_ard_3-2-1_110069_2022-11-18_final
2023-02-12 10:45:31	ga_ls8c_ard_3-2-1_104080_2023-02-12_final
2023-03-30 10:55:23	ga_ls8c_ard_3-2-1_106075_2023-03-30_final
2023-07-03 10:15:33	ga_ls8c_ard_3-2-1_099084_2023-07-03_final
2023-08-01 11:20:09	ga_ls8c_ard_3-2-1_110075_2023-08-01_final
2023-12-10 10:10:51	ga_ls8c_ard_3-2-1_099071_2023-12-10_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