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
2013-05-12 11:06:53	ga_ls8c_ard_3-0-0_107083_2013-05-12_final
2013-08-15 10:19:18	ga_ls8c_ard_3-0-0_100072_2013-08-15_final
2013-12-31 10:54:12	ga_ls8c_ard_3-0-0_106068_2013-12-31_final
2014-02-16 10:14:45	ga_ls8c_ard_3-0-0_099079_2014-02-16_final
2014-03-12 09:29:24	ga_ls8c_ard_3-0-0_091090_2014-03-11_final
2014-05-12 10:28:27	ga_ls8c_ard_3-0-0_102070_2014-05-12_final
2014-05-12 10:30:27	ga_ls8c_ard_3-0-0_102075_2014-05-12_final
2014-05-27 09:50:44	ga_ls8c_ard_3-0-0_095084_2014-05-27_final
2014-06-01 10:02:57	ga_ls8c_ard_3-0-0_098068_2014-06-01_final
2014-07-25 09:25:45	ga_ls8c_ard_3-0-0_092067_2014-07-24_final
2014-08-16 10:31:20	ga_ls8c_ard_3-0-0_102076_2014-08-16_final
2014-08-26 09:34:44	ga_ls8c_ard_3-0-0_092089_2014-08-26_final
2014-09-02 11:17:01	ga_ls8c_ard_3-0-0_109082_2014-09-02_final
2014-09-25 09:40:18	ga_ls8c_ard_3-0-0_094072_2014-09-25_final
2014-11-10 11:32:06	ga_ls8c_ard_3-0-0_112073_2014-11-10_final
2014-11-15 10:11:20	ga_ls8c_ard_3-0-0_099072_2014-11-15_final
2014-12-25 11:05:27	ga_ls8c_ard_3-0-0_107084_2014-12-25_final
2015-07-22 10:08:55	ga_ls8c_ard_3-0-0_098083_2015-07-22_final
2015-09-17 11:41:59	ga_ls8c_ard_3-0-0_113083_2015-09-17_final
2015-10-30 09:44:19	ga_ls8c_ard_3-0-0_094082_2015-10-30_final
2016-01-05 11:52:05	ga_ls8c_ard_3-0-0_115077_2016-01-05_final
2016-01-29 11:01:26	ga_ls8c_ard_3-0-0_107074_2016-01-29_final
2016-06-15 09:57:16	ga_ls8c_ard_3-0-0_097069_2016-06-15_final
2016-06-15 10:02:03	ga_ls8c_ard_3-0-0_097081_2016-06-15_final
2016-07-05 09:31:56	ga_ls8c_ard_3-0-0_093067_2016-07-05_final
2016-08-25 10:03:53	ga_ls8c_ard_3-0-0_098069_2016-08-25_final
2016-08-27 11:32:49	ga_ls8c_ard_3-0-0_112075_2016-08-27_final
2016-09-05 09:46:12	ga_ls8c_ard_3-0-0_095071_2016-09-05_final
2017-01-29 09:34:07	ga_ls8c_ard_3-0-0_093072_2017-01-29_final
2017-03-06 10:46:25	ga_ls8c_ard_3-0-0_105068_2017-03-06_final
2017-04-20 10:16:19	ga_ls8c_ard_3-0-0_100071_2017-04-20_final
2017-05-03 11:24:58	ga_ls8c_ard_3-0-0_111073_2017-05-03_final
2017-06-14 10:22:47	ga_ls8c_ard_3-0-0_101071_2017-06-14_final
2017-07-08 11:16:43	ga_ls8c_ard_3-0-0_109082_2017-07-08_final
2017-09-24 09:44:36	ga_ls8c_ard_3-0-0_095067_2017-09-24_final
2018-01-19 11:47:02	ga_ls8c_ard_3-0-0_114080_2018-01-19_final
2018-01-21 09:51:47	ga_ls8c_ard_3-0-0_096070_2018-01-21_final
2018-02-08 11:18:09	ga_ls8c_ard_3-0-0_110070_2018-02-08_final
2018-03-26 09:52:05	ga_ls8c_ard_3-0-0_096072_2018-03-26_final
2018-04-16 10:12:49	ga_ls8c_ard_3-0-0_099078_2018-04-16_final
2018-05-17 09:27:39	ga_ls8c_ard_3-0-0_092074_2018-05-16_final
2018-06-18 11:09:16	ga_ls8c_ard_3-0-0_108081_2018-06-18_final
2018-06-19 10:08:28	ga_ls8c_ard_3-0-0_099068_2018-06-19_final
2018-06-27 09:23:53	ga_ls8c_ard_3-0-0_091080_2018-06-26_final
2018-08-10 11:24:40	ga_ls8c_ard_3-0-0_111072_2018-08-10_final
2018-11-03 10:07:15	ga_ls8c_ard_3-0-0_098078_2018-11-03_final
2019-01-06 10:06:48	ga_ls8c_ard_3-0-0_098077_2019-01-06_final
2019-02-02 11:25:27	ga_ls8c_ard_3-0-0_111073_2019-02-02_final
2019-05-16 09:55:45	ga_ls8c_ard_3-0-0_096081_2019-05-16_final
2019-05-16 11:31:03	ga_ls8c_ard_3-0-0_112072_2019-05-16_final
2019-07-09 10:55:31	ga_ls8c_ard_3-1-0_106075_2019-07-09_final
2019-07-12 11:28:49	ga_ls8c_ard_3-1-0_111081_2019-07-12_final
2019-10-13 10:55:58	ga_ls8c_ard_3-1-0_106075_2019-10-13_final
2019-11-19 11:14:27	ga_ls8c_ard_3-1-0_109075_2019-11-19_final
2019-11-30 10:56:18	ga_ls8c_ard_3-1-0_106076_2019-11-30_final
2020-02-25 09:22:52	ga_ls8c_ard_3-1-0_091075_2020-02-24_final
2020-03-07 10:45:32	ga_ls8c_ard_3-1-0_104081_2020-03-07_final
2020-03-12 09:24:45	ga_ls8c_ard_3-1-0_091080_2020-03-11_final
2020-04-25 11:24:01	ga_ls8c_ard_3-1-0_111070_2020-04-25_final
2020-06-19 09:51:52	ga_ls8c_ard_3-1-0_096071_2020-06-19_final
2020-06-23 09:33:58	ga_ls8c_ard_3-1-0_092088_2020-06-23_final
2020-06-30 11:17:29	ga_ls8c_ard_3-1-0_109084_2020-06-30_final
2020-08-19 11:05:00	ga_ls8c_ard_3-1-0_107083_2020-08-19_final
2020-09-30 10:01:28	ga_ls8c_ard_3-1-0_097078_2020-09-30_final
2020-10-04 11:17:38	ga_ls8c_ard_3-1-0_109083_2020-10-04_final
2020-10-14 10:15:27	ga_ls8c_ard_3-1-0_099082_2020-10-14_final
2020-10-30 10:10:15	ga_ls8c_ard_3-1-0_099069_2020-10-30_final
2021-01-02 11:53:05	ga_ls8c_ard_3-2-0_115079_2021-01-02_final
2021-01-11 10:07:09	ga_ls8c_ard_3-2-0_098077_2021-01-11_final
2021-01-21 09:06:29	ga_ls8c_ard_3-2-0_088080_2021-01-20_final
2021-02-04 09:17:13	ga_ls8c_ard_3-2-0_090076_2021-02-03_final
2021-02-23 09:45:38	ga_ls8c_ard_3-2-0_095070_2021-02-23_final
2021-03-02 11:35:50	ga_ls8c_ard_3-2-0_112083_2021-03-02_final
2021-03-14 10:21:57	ga_ls8c_ard_3-2-0_100084_2021-03-14_final
2021-05-10 10:10:39	ga_ls8c_ard_3-2-0_099072_2021-05-10_final
2021-05-15 10:28:03	ga_ls8c_ard_3-2-0_102069_2021-05-15_final
2021-09-09 09:11:59	ga_ls8c_ard_3-2-0_089078_2021-09-08_final
2021-10-26 10:04:35	ga_ls8c_ard_3-2-0_098070_2021-10-26_final
2021-11-08 09:32:27	ga_ls8c_ard_3-2-0_093067_2021-11-08_final
2021-12-30 10:46:52	ga_ls8c_ard_3-2-1_105068_2021-12-30_final
2022-03-03 11:47:02	ga_ls8c_ard_3-2-1_114080_2022-03-03_final
2022-03-06 10:34:15	ga_ls8c_ard_3-2-1_103068_2022-03-06_final
2022-04-05 10:51:57	ga_ls8c_ard_3-2-1_105082_2022-04-05_final
2022-06-01 09:07:31	ga_ls8c_ard_3-2-1_088083_2022-05-31_final
2022-07-08 11:05:12	ga_ls8c_ard_3-2-1_107083_2022-07-08_final
2022-07-10 10:49:38	ga_ls8c_ard_3-2-1_105075_2022-07-10_final
2022-08-15 10:26:24	ga_ls8c_ard_3-2-1_101078_2022-08-15_final
2022-09-15 11:20:08	ga_ls8c_ard_3-2-1_110073_2022-09-15_final
2022-10-09 10:29:26	ga_ls8c_ard_3-2-1_102070_2022-10-09_final
2022-11-23 10:01:42	ga_ls8c_ard_3-2-1_097078_2022-11-23_final
2022-12-07 10:10:53	ga_ls8c_ard_3-2-1_099070_2022-12-07_final
2023-03-02 10:29:19	ga_ls8c_ard_3-2-1_102071_2023-03-02_final
2023-04-09 09:51:24	ga_ls8c_ard_3-2-1_096070_2023-04-09_final
2023-05-20 11:23:46	ga_ls8c_ard_3-2-1_111070_2023-05-20_final
2023-08-20 11:52:46	ga_ls8c_ard_3-2-1_115079_2023-08-20_final
2023-08-29 10:06:56	ga_ls8c_ard_3-2-1_098077_2023-08-29_final
2023-08-30 10:49:00	ga_ls8c_ard_3-2-1_105074_2023-08-30_final
2023-09-15 10:49:51	ga_ls8c_ard_3-2-1_105076_2023-09-15_final
2023-11-28 09:46:38	ga_ls8c_ard_3-2-1_095072_2023-11-28_final
2024-01-15 11:26:13	ga_ls8c_ard_3-2-1_111074_2024-01-15_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years