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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

75 results

Time (local)	Label
2013-12-18 11:25:35	ga_ls8c_ard_3-0-0_111069_2013-12-18_final
2013-12-23 10:10:47	ga_ls8c_ard_3-0-0_098083_2013-12-23_final
2014-01-25 09:15:38	ga_ls8c_ard_3-0-0_089085_2014-01-24_final
2014-03-17 11:20:23	ga_ls8c_ard_3-0-0_110074_2014-03-17_final
2014-04-06 09:17:40	ga_ls8c_ard_3-0-0_090077_2014-04-05_final
2014-04-24 10:40:17	ga_ls8c_ard_3-0-0_104068_2014-04-24_final
2014-07-14 09:46:16	ga_ls8c_ard_3-0-0_095072_2014-07-14_final
2014-10-01 09:07:17	ga_ls8c_ard_3-0-0_088082_2014-09-30_final
2015-02-25 11:17:31	ga_ls8c_ard_3-0-0_109084_2015-02-25_final
2015-04-03 11:31:38	ga_ls8c_ard_3-0-0_112074_2015-04-03_final
2015-05-20 09:11:09	ga_ls8c_ard_3-0-0_089079_2015-05-19_final
2015-08-18 11:24:13	ga_ls8c_ard_3-0-0_111070_2015-08-18_final
2015-10-19 10:03:35	ga_ls8c_ard_3-0-0_097084_2015-10-19_final
2016-02-12 09:39:36	ga_ls8c_ard_3-0-0_093086_2016-02-12_final
2016-02-24 09:57:52	ga_ls8c_ard_3-1-0_097070_2016-02-24_final
2016-06-17 11:25:23	ga_ls8c_ard_3-0-0_111073_2016-06-17_final
2016-06-28 09:34:28	ga_ls8c_ard_3-0-0_092089_2016-06-28_final
2016-07-06 11:57:40	ga_ls8c_ard_3-0-0_116076_2016-07-06_final
2016-07-24 10:10:08	ga_ls8c_ard_3-0-0_098085_2016-07-24_final
2016-08-04 11:26:07	ga_ls8c_ard_3-0-0_111074_2016-08-04_final
2016-09-01 10:10:07	ga_ls8c_ard_3-0-0_099069_2016-09-01_final
2016-11-08 11:24:25	ga_ls8c_ard_3-0-0_111069_2016-11-08_final
2017-01-17 10:49:33	ga_ls8c_ard_3-0-0_105075_2017-01-17_final
2017-02-25 09:21:46	ga_ls8c_ard_3-0-0_090088_2017-02-24_final
2017-07-12 10:46:25	ga_ls8c_ard_3-0-0_105068_2017-07-12_final
2017-07-22 11:27:34	ga_ls8c_ard_3-0-0_111078_2017-07-22_final
2017-08-11 11:04:59	ga_ls8c_ard_3-0-0_107083_2017-08-11_final
2017-08-30 09:51:53	ga_ls8c_ard_3-0-0_096070_2017-08-30_final
2017-10-22 10:14:37	ga_ls8c_ard_3-0-0_099080_2017-10-22_final
2017-11-22 09:28:52	ga_ls8c_ard_3-0-0_092074_2017-11-21_final
2017-12-26 10:54:10	ga_ls8c_ard_3-0-0_106071_2017-12-26_final
2018-02-24 11:16:51	ga_ls8c_ard_3-0-0_110067_2018-02-24_final
2018-03-07 11:01:25	ga_ls8c_ard_3-0-0_107075_2018-03-07_final
2018-04-07 10:16:18	ga_ls8c_ard_3-0-0_100071_2018-04-07_final
2018-06-14 11:29:33	ga_ls8c_ard_3-0-0_112070_2018-06-14_final
2018-06-16 09:37:08	ga_ls8c_ard_3-0-0_094067_2018-06-16_final
2018-06-27 09:27:29	ga_ls8c_ard_3-0-0_091089_2018-06-26_final
2018-07-27 11:16:57	ga_ls8c_ard_3-0-0_109084_2018-07-27_final
2018-10-04 11:31:14	ga_ls8c_ard_3-0-0_112072_2018-10-04_final
2018-12-21 10:10:00	ga_ls8c_ard_3-0-0_098085_2018-12-21_final
2019-01-14 09:16:56	ga_ls8c_ard_3-0-0_090076_2019-01-13_final
2019-01-18 10:28:41	ga_ls8c_ard_3-0-0_102070_2019-01-18_final
2019-02-05 10:18:40	ga_ls8c_ard_3-0-0_100076_2019-02-05_final
2020-03-04 10:09:28	ga_ls8c_ard_3-1-0_099068_2020-03-04_final
2020-03-30 10:48:43	ga_ls8c_ard_3-1-0_105074_2020-03-30_final
2020-04-06 10:55:14	ga_ls8c_ard_3-1-0_106075_2020-04-06_final
2020-04-11 11:13:21	ga_ls8c_ard_3-1-0_109074_2020-04-11_final
2020-04-26 10:28:23	ga_ls8c_ard_3-1-0_102070_2020-04-26_final
2020-04-28 10:19:59	ga_ls8c_ard_3-1-0_100080_2020-04-28_final
2020-06-03 11:29:00	ga_ls8c_ard_3-1-0_112067_2020-06-03_final
2020-09-26 10:23:23	ga_ls8c_ard_3-1-0_101071_2020-09-26_final
2020-12-24 10:22:25	ga_ls8c_ard_3-2-0_100084_2020-12-24_final
2021-02-24 10:29:17	ga_ls8c_ard_3-2-0_102071_2021-02-24_final
2021-02-28 10:04:56	ga_ls8c_ard_3-2-0_098072_2021-02-28_final
2021-03-26 09:06:08	ga_ls8c_ard_3-2-0_088080_2021-03-25_final
2021-04-24 10:13:32	ga_ls8c_ard_3-2-0_099079_2021-04-24_final
2021-05-20 10:48:38	ga_ls8c_ard_3-2-0_105074_2021-05-20_final
2021-08-02 09:46:28	ga_ls8c_ard_3-2-0_095072_2021-08-02_final
2021-08-21 10:17:05	ga_ls8c_ard_3-2-0_100071_2021-08-21_final
2021-08-31 09:17:19	ga_ls8c_ard_3-2-0_090076_2021-08-30_final
2021-08-31 10:56:12	ga_ls8c_ard_3-2-0_106076_2021-08-31_final
2022-07-20 09:51:28	ga_ls8c_ard_3-2-1_095084_2022-07-20_final
2022-08-15 10:28:00	ga_ls8c_ard_3-2-1_101082_2022-08-15_final
2022-08-29 10:34:47	ga_ls8c_ard_3-2-1_103068_2022-08-29_final
2022-10-19 09:32:49	ga_ls8c_ard_3-2-1_092083_2022-10-19_final
2022-12-07 10:16:28	ga_ls8c_ard_3-2-1_099084_2022-12-07_final
2023-01-18 09:11:59	ga_ls8c_ard_3-2-1_089078_2023-01-17_final
2023-04-14 10:13:28	ga_ls8c_ard_3-2-1_099079_2023-04-14_final
2023-04-30 11:51:29	ga_ls8c_ard_3-2-1_115077_2023-04-30_final
2023-06-02 09:20:24	ga_ls8c_ard_3-2-1_090086_2023-06-01_final
2023-06-19 10:02:37	ga_ls8c_ard_3-2-1_097083_2023-06-19_final
2023-08-30 10:52:12	ga_ls8c_ard_3-2-1_105082_2023-08-30_final
2023-09-06 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-09-06_final
2024-01-21 10:47:30	ga_ls8c_ard_3-2-1_105070_2024-01-21_final
2024-02-01 10:31:43	ga_ls8c_ard_3-2-1_102077_2024-02-01_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