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
2013-07-25 11:44:01	ga_ls8c_ard_3-0-0_113083_2013-07-25_final
2014-02-21 10:29:39	ga_ls8c_ard_3-0-0_102070_2014-02-21_final
2014-02-26 10:47:19	ga_ls8c_ard_3-0-0_105068_2014-02-26_final
2014-02-26 10:47:43	ga_ls8c_ard_3-0-0_105069_2014-02-26_final
2014-02-28 10:34:55	ga_ls8c_ard_3-0-0_103068_2014-02-28_final
2014-05-04 11:16:47	ga_ls8c_ard_3-0-0_110067_2014-05-04_final
2014-06-12 11:28:58	ga_ls8c_ard_3-0-0_111082_2014-06-12_final
2014-07-07 11:22:32	ga_ls8c_ard_3-0-0_110081_2014-07-07_final
2014-07-23 11:16:59	ga_ls8c_ard_3-0-0_110067_2014-07-23_final
2014-07-26 11:52:42	ga_ls8c_ard_3-0-0_115079_2014-07-26_final
2014-08-31 11:28:58	ga_ls8c_ard_3-0-0_111081_2014-08-31_final
2014-09-02 11:11:50	ga_ls8c_ard_3-0-0_109069_2014-09-02_final
2014-10-30 11:52:57	ga_ls8c_ard_3-0-0_115079_2014-10-30_final
2014-12-21 11:25:01	ga_ls8c_ard_3-0-0_111071_2014-12-21_final
2015-03-13 11:11:20	ga_ls8c_ard_3-0-0_109069_2015-03-13_final
2015-04-05 11:23:16	ga_ls8c_ard_3-0-0_110084_2015-04-05_final
2015-05-31 10:27:34	ga_ls8c_ard_3-0-0_102069_2015-05-31_final
2015-06-16 10:29:21	ga_ls8c_ard_3-0-0_102073_2015-06-16_final
2015-07-01 11:23:29	ga_ls8c_ard_3-0-0_111069_2015-07-01_final
2015-09-01 11:35:28	ga_ls8c_ard_3-0-0_113067_2015-09-01_final
2015-12-31 11:30:23	ga_ls8c_ard_3-0-0_112069_2015-12-31_final
2016-02-03 11:17:09	ga_ls8c_ard_3-0-0_110067_2016-02-03_final
2016-02-26 11:24:23	ga_ls8c_ard_3-0-0_111070_2016-02-26_final
2016-03-20 11:31:15	ga_ls8c_ard_3-0-0_112072_2016-03-20_final
2016-04-08 10:25:30	ga_ls8c_ard_3-0-0_101078_2016-04-08_final
2016-05-22 10:49:00	ga_ls8c_ard_3-0-0_105075_2016-05-22_final
2016-07-02 10:40:17	ga_ls8c_ard_3-0-0_104068_2016-07-02_final
2016-07-11 10:39:22	ga_ls8c_ard_3-0-0_103081_2016-07-11_final
2016-07-19 11:24:04	ga_ls8c_ard_3-0-0_111069_2016-07-19_final
2016-08-20 11:23:48	ga_ls8c_ard_3-0-0_111068_2016-08-20_final
2017-01-20 11:18:50	ga_ls8c_ard_3-0-0_110071_2017-01-20_final
2017-04-17 11:23:56	ga_ls8c_ard_3-0-0_111070_2017-04-17_final
2017-04-18 10:27:30	ga_ls8c_ard_3-0-0_102068_2017-04-18_final
2017-05-28 11:16:41	ga_ls8c_ard_3-0-0_110067_2017-05-28_final
2017-06-21 10:28:36	ga_ls8c_ard_3-0-0_102070_2017-06-21_final
2017-11-07 11:52:41	ga_ls8c_ard_3-0-0_115078_2017-11-07_final
2017-11-24 10:52:59	ga_ls8c_ard_3-0-0_106068_2017-11-24_final
2017-12-29 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-12-29_final
2018-01-17 10:21:44	ga_ls8c_ard_3-0-0_100083_2018-01-17_final
2018-04-05 10:28:17	ga_ls8c_ard_3-0-0_102070_2018-04-05_final
2018-05-24 11:12:37	ga_ls8c_ard_3-0-0_109074_2018-05-24_final
2018-06-23 11:23:28	ga_ls8c_ard_3-0-0_111070_2018-06-23_final
2018-12-04 11:04:52	ga_ls8c_ard_3-0-0_107083_2018-12-04_final
2018-12-18 11:16:47	ga_ls8c_ard_3-0-0_109082_2018-12-18_final
2019-02-18 11:25:25	ga_ls8c_ard_3-0-0_111073_2019-02-18_final
2019-04-11 11:04:27	ga_ls8c_ard_3-1-0_107083_2019-04-11_final
2019-05-15 10:48:34	ga_ls8c_ard_3-0-0_105074_2019-05-15_final
2019-08-19 10:49:09	ga_ls8c_ard_3-1-0_105074_2019-08-19_final
2019-12-08 11:47:44	ga_ls8c_ard_3-1-0_114081_2019-12-08_final
2019-12-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2019-12-15_final
2019-12-19 09:46:41	ga_ls8c_ard_3-2-0_095072_2019-12-19_final
2020-01-07 10:22:18	ga_ls8c_ard_3-1-0_100084_2020-01-07_final
2020-06-12 11:23:18	ga_ls8c_ard_3-1-0_111068_2020-06-12_final
2020-07-11 10:55:02	ga_ls8c_ard_3-1-0_106074_2020-07-11_final
2020-08-04 11:47:23	ga_ls8c_ard_3-1-0_114081_2020-08-04_final
2020-08-23 10:35:56	ga_ls8c_ard_3-1-0_103072_2020-08-23_final
2020-10-09 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-10-09_final
2020-10-10 10:36:11	ga_ls8c_ard_3-1-0_103072_2020-10-10_final
2020-10-18 11:24:02	ga_ls8c_ard_3-1-0_111068_2020-10-18_final
2020-11-11 10:36:07	ga_ls8c_ard_3-1-0_103072_2020-11-11_final
2021-01-11 11:47:38	ga_ls8c_ard_3-2-0_114081_2021-01-11_final
2021-02-12 10:09:02	ga_ls8c_ard_3-2-0_098082_2021-02-12_final
2021-03-23 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-03-23_final
2021-08-03 10:33:20	ga_ls8c_ard_3-2-0_102081_2021-08-03_final
2021-09-04 10:29:30	ga_ls8c_ard_3-2-0_102071_2021-09-04_final
2021-09-05 11:11:59	ga_ls8c_ard_3-2-0_109069_2021-09-05_final
2021-09-15 11:52:41	ga_ls8c_ard_3-2-0_115078_2021-09-15_final
2021-09-23 09:26:46	ga_ls8c_ard_3-2-0_091084_2021-09-22_final
2021-10-13 10:36:16	ga_ls8c_ard_3-2-0_103072_2021-10-13_final
2021-10-25 09:26:54	ga_ls8c_ard_3-2-0_091084_2021-10-24_final
2021-11-02 10:15:32	ga_ls8c_ard_3-2-0_099082_2021-11-02_final
2021-11-22 09:47:33	ga_ls8c_ard_3-2-0_095074_2021-11-22_final
2021-12-13 10:04:30	ga_ls8c_ard_3-2-1_098070_2021-12-13_final
2021-12-13 10:10:05	ga_ls8c_ard_3-2-1_098084_2021-12-13_final
2022-02-28 09:34:28	ga_ls8c_ard_3-2-1_093073_2022-02-28_final
2022-04-09 10:22:53	ga_ls8c_ard_3-2-1_101071_2022-04-09_final
2022-04-10 09:33:16	ga_ls8c_ard_3-2-1_092086_2022-04-10_final
2022-04-30 09:06:30	ga_ls8c_ard_3-2-1_088081_2022-04-29_final
2022-05-28 09:28:35	ga_ls8c_ard_3-2-1_092074_2022-05-27_final
2022-07-25 11:47:46	ga_ls8c_ard_3-2-1_114081_2022-07-25_final
2022-12-02 11:32:02	ga_ls8c_ard_3-2-1_112072_2022-12-02_final
2022-12-04 09:40:23	ga_ls8c_ard_3-2-1_094071_2022-12-04_final
2023-02-04 09:52:34	ga_ls8c_ard_3-2-1_096071_2023-02-04_final
2023-02-26 10:58:50	ga_ls8c_ard_3-2-1_106083_2023-02-26_final
2023-04-30 10:09:25	ga_ls8c_ard_3-2-1_099069_2023-04-30_final
2023-05-09 10:07:06	ga_ls8c_ard_3-2-1_098079_2023-05-09_final
2023-05-16 10:09:12	ga_ls8c_ard_3-2-1_099069_2023-05-16_final
2023-05-25 10:02:15	ga_ls8c_ard_3-2-1_098067_2023-05-25_final
2023-05-31 09:27:58	ga_ls8c_ard_3-2-1_092074_2023-05-30_final
2023-06-30 09:39:49	ga_ls8c_ard_3-2-1_094072_2023-06-30_final
2023-07-11 09:22:11	ga_ls8c_ard_3-2-1_091074_2023-07-10_final
2023-08-04 10:09:47	ga_ls8c_ard_3-2-1_099069_2023-08-04_final
2023-08-16 10:35:46	ga_ls8c_ard_3-2-1_103072_2023-08-16_final
2023-10-02 11:36:23	ga_ls8c_ard_3-2-1_112084_2023-10-02_final
2023-10-07 10:13:39	ga_ls8c_ard_3-2-1_099078_2023-10-07_final
2023-10-23 10:11:18	ga_ls8c_ard_3-2-1_099072_2023-10-23_final
2023-12-04 09:13:27	ga_ls8c_ard_3-2-1_089082_2023-12-03_final
2024-01-19 11:00:16	ga_ls8c_ard_3-2-1_107071_2024-01-19_final
2024-02-21 11:47:29	ga_ls8c_ard_3-2-1_114081_2024-02-21_final
2024-03-14 09:27:42	ga_ls8c_ard_3-2-1_092072_2024-03-13_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