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
2013-06-09 11:26:31	ga_ls8c_ard_3-0-0_111070_2013-06-09_final
2014-02-04 11:26:43	ga_ls8c_ard_3-0-0_111073_2014-02-04_final
2014-10-11 09:38:26	ga_ls8c_ard_3-0-0_094067_2014-10-11_final
2015-04-14 11:11:07	ga_ls8c_ard_3-0-0_109069_2015-04-14_final
2015-08-02 11:23:43	ga_ls8c_ard_3-0-0_111069_2015-08-02_final
2016-02-09 09:06:44	ga_ls8c_ard_3-1-0_088081_2016-02-08_final
2016-03-19 10:46:48	ga_ls8c_ard_3-0-0_105069_2016-03-19_final
2016-04-14 11:24:05	ga_ls8c_ard_3-0-0_111070_2016-04-14_final
2016-10-04 10:53:03	ga_ls8c_ard_3-0-0_106068_2016-10-04_final
2016-12-10 11:24:23	ga_ls8c_ard_3-0-0_111069_2016-12-10_final
2017-01-27 09:46:53	ga_ls8c_ard_3-0-0_095073_2017-01-27_final
2017-02-28 11:24:21	ga_ls8c_ard_3-0-0_111070_2017-02-28_final
2017-04-17 11:23:08	ga_ls8c_ard_3-0-0_111068_2017-04-17_final
2017-10-03 11:18:09	ga_ls8c_ard_3-0-0_110069_2017-10-03_final
2017-11-11 11:24:45	ga_ls8c_ard_3-0-0_111070_2017-11-11_final
2017-12-03 10:46:45	ga_ls8c_ard_3-0-0_105068_2017-12-03_final
2018-02-21 10:48:46	ga_ls8c_ard_3-0-0_105074_2018-02-21_final
2018-04-29 09:39:25	ga_ls8c_ard_3-0-0_094072_2018-04-29_final
2018-05-15 09:37:15	ga_ls8c_ard_3-0-0_094067_2018-05-15_final
2018-11-07 11:17:02	ga_ls8c_ard_3-0-0_110067_2018-11-07_final
2018-11-11 10:55:31	ga_ls8c_ard_3-0-0_106075_2018-11-11_final
2018-11-16 11:11:40	ga_ls8c_ard_3-0-0_109069_2018-11-16_final
2018-11-23 09:45:45	ga_ls8c_ard_3-0-0_094086_2018-11-23_final
2018-11-23 11:19:50	ga_ls8c_ard_3-0-0_110074_2018-11-23_final
2018-12-13 10:53:27	ga_ls8c_ard_3-0-0_106070_2018-12-13_final
2018-12-22 10:49:41	ga_ls8c_ard_3-0-0_105076_2018-12-22_final
2019-02-09 11:31:13	ga_ls8c_ard_3-0-0_112072_2019-02-09_final
2019-02-11 11:16:52	ga_ls8c_ard_3-0-0_110067_2019-02-11_final
2019-05-11 11:14:03	ga_ls8c_ard_3-0-0_109076_2019-05-11_final
2019-05-18 09:40:13	ga_ls8c_ard_3-0-0_094073_2019-05-18_final
2019-06-10 09:51:47	ga_ls8c_ard_3-0-0_095086_2019-06-10_final
2019-06-19 09:45:39	ga_ls8c_ard_3-1-0_094086_2019-06-19_final
2019-07-28 09:52:01	ga_ls8c_ard_3-1-0_095086_2019-07-28_final
2019-08-01 10:59:49	ga_ls8c_ard_3-1-0_107070_2019-08-01_final
2019-08-10 10:55:41	ga_ls8c_ard_3-1-0_106075_2019-08-10_final
2019-08-19 10:52:21	ga_ls8c_ard_3-1-0_105082_2019-08-19_final
2019-09-04 10:50:00	ga_ls8c_ard_3-1-0_105076_2019-09-04_final
2019-11-12 11:08:18	ga_ls8c_ard_3-1-0_108075_2019-11-12_final
2019-12-12 09:40:32	ga_ls8c_ard_3-1-0_094072_2019-12-12_final
2020-01-01 10:55:48	ga_ls8c_ard_3-1-0_106075_2020-01-01_final
2020-01-13 09:38:25	ga_ls8c_ard_3-1-0_094067_2020-01-13_final
2020-01-13 11:20:05	ga_ls8c_ard_3-1-0_110074_2020-01-13_final
2020-01-29 11:17:13	ga_ls8c_ard_3-1-0_110067_2020-01-29_final
2020-03-06 11:41:58	ga_ls8c_ard_3-1-0_113083_2020-03-06_final
2020-03-08 11:24:24	ga_ls8c_ard_3-1-0_111070_2020-03-08_final
2020-03-21 10:52:36	ga_ls8c_ard_3-1-0_106068_2020-03-21_final
2020-04-05 11:52:04	ga_ls8c_ard_3-1-0_115078_2020-04-05_final
2020-04-11 11:13:21	ga_ls8c_ard_3-1-0_109074_2020-04-11_final
2020-06-19 11:31:09	ga_ls8c_ard_3-1-0_112072_2020-06-19_final
2020-07-04 10:50:24	ga_ls8c_ard_3-1-0_105078_2020-07-04_final
2020-07-30 09:51:56	ga_ls8c_ard_3-1-0_095086_2020-07-30_final
2020-09-09 09:46:25	ga_ls8c_ard_3-1-0_094087_2020-09-09_final
2020-09-09 11:17:19	ga_ls8c_ard_3-1-0_110067_2020-09-09_final
2020-09-09 11:20:07	ga_ls8c_ard_3-1-0_110074_2020-09-09_final
2020-11-16 10:53:05	ga_ls8c_ard_3-1-0_106068_2020-11-16_final
2021-04-27 09:06:43	ga_ls8c_ard_3-2-0_088082_2021-04-26_final
2021-05-22 10:39:06	ga_ls8c_ard_3-2-0_103081_2021-05-22_final
2021-06-11 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-06-11_final
2021-06-29 09:57:03	ga_ls8c_ard_3-2-0_097068_2021-06-29_final
2021-07-07 09:10:25	ga_ls8c_ard_3-2-0_089075_2021-07-06_final
2021-07-27 10:27:29	ga_ls8c_ard_3-2-0_101082_2021-07-27_final
2021-08-04 09:32:08	ga_ls8c_ard_3-2-0_093067_2021-08-04_final
2021-09-02 09:07:22	ga_ls8c_ard_3-2-0_088082_2021-09-01_final
2021-09-17 09:57:27	ga_ls8c_ard_3-2-0_097068_2021-09-17_final
2021-11-24 09:34:47	ga_ls8c_ard_3-2-0_093073_2021-11-24_final
2021-11-26 09:29:13	ga_ls8c_ard_3-2-0_091090_2021-11-25_final
2021-12-09 10:29:14	ga_ls8c_ard_3-2-1_102070_2021-12-09_final
2021-12-13 10:10:05	ga_ls8c_ard_3-2-1_098084_2021-12-13_final
2021-12-14 09:12:04	ga_ls8c_ard_3-2-1_089078_2021-12-13_final
2022-01-22 09:16:53	ga_ls8c_ard_3-2-1_090075_2022-01-21_final
2022-02-06 11:51:20	ga_ls8c_ard_3-2-1_115075_2022-02-06_final
2022-02-06 11:52:56	ga_ls8c_ard_3-2-1_115079_2022-02-06_final
2022-02-06 11:53:20	ga_ls8c_ard_3-2-1_115080_2022-02-06_final
2022-04-06 11:31:14	ga_ls8c_ard_3-2-1_112072_2022-04-06_final
2022-04-20 10:09:33	ga_ls8c_ard_3-2-1_098084_2022-04-20_final
2022-05-22 10:02:54	ga_ls8c_ard_3-2-1_098067_2022-05-22_final
2022-06-05 11:58:14	ga_ls8c_ard_3-2-1_116077_2022-06-05_final
2022-06-24 10:49:14	ga_ls8c_ard_3-2-1_105074_2022-06-24_final
2022-10-19 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-10-18_final
2022-10-24 11:26:42	ga_ls8c_ard_3-2-1_111074_2022-10-24_final
2022-11-02 11:18:57	ga_ls8c_ard_3-2-1_110070_2022-11-02_final
2022-11-30 10:05:30	ga_ls8c_ard_3-2-1_098072_2022-11-30_final
2022-12-17 09:11:47	ga_ls8c_ard_3-2-1_089077_2022-12-16_final
2022-12-31 09:22:54	ga_ls8c_ard_3-2-1_091074_2022-12-30_final
2023-01-10 09:57:33	ga_ls8c_ard_3-2-1_097068_2023-01-10_final
2023-01-12 11:25:39	ga_ls8c_ard_3-2-1_111072_2023-01-12_final
2023-02-06 09:41:00	ga_ls8c_ard_3-2-1_094073_2023-02-06_final
2023-04-27 11:17:49	ga_ls8c_ard_3-2-1_110070_2023-04-27_final
2023-05-15 09:27:08	ga_ls8c_ard_3-2-1_092072_2023-05-14_final
2023-05-17 09:16:21	ga_ls8c_ard_3-2-1_090076_2023-05-16_final
2023-07-09 11:11:25	ga_ls8c_ard_3-2-1_109069_2023-07-09_final
2023-08-22 11:37:38	ga_ls8c_ard_3-2-1_113072_2023-08-22_final
2023-11-25 09:21:44	ga_ls8c_ard_3-2-1_090087_2023-11-24_final
2023-12-14 11:26:16	ga_ls8c_ard_3-2-1_111074_2023-12-14_final
2024-02-09 11:20:01	ga_ls8c_ard_3-2-1_110074_2024-02-09_final
2024-02-18 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-18_final
2024-02-28 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-02-28_final
2024-03-17 09:57:46	ga_ls8c_ard_3-2-1_097070_2024-03-17_final
2024-03-21 09:33:48	ga_ls8c_ard_3-2-1_093072_2024-03-21_final
2024-03-25 09:15:46	ga_ls8c_ard_3-2-1_089089_2024-03-24_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