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

70 results

Time (local)	Label
2013-07-14 10:19:17	ga_ls8c_ard_3-0-0_100072_2013-07-14_final
2013-10-06 09:54:28	ga_ls8c_ard_3-0-0_096072_2013-10-06_final
2015-03-01 10:47:11	ga_ls8c_ard_3-0-0_105070_2015-03-01_final
2015-03-09 11:35:19	ga_ls8c_ard_3-0-0_113067_2015-03-09_final
2015-04-06 10:23:40	ga_ls8c_ard_3-0-0_101074_2015-04-06_final
2015-08-16 09:56:53	ga_ls8c_ard_3-0-0_097068_2015-08-16_final
2015-12-01 09:39:58	ga_ls8c_ard_3-0-0_094071_2015-12-01_final
2016-02-04 10:27:55	ga_ls8c_ard_3-0-0_101083_2016-02-04_final
2016-03-11 09:57:50	ga_ls8c_ard_3-1-0_097070_2016-03-11_final
2016-03-13 11:24:20	ga_ls8c_ard_3-0-0_111070_2016-03-13_final
2016-05-14 11:40:47	ga_ls8c_ard_3-0-0_113081_2016-05-14_final
2016-05-27 09:33:05	ga_ls8c_ard_3-0-0_092086_2016-05-27_final
2016-07-26 09:52:11	ga_ls8c_ard_3-0-0_096071_2016-07-26_final
2016-09-11 10:46:50	ga_ls8c_ard_3-0-0_105068_2016-09-11_final
2016-10-07 09:52:16	ga_ls8c_ard_3-0-0_095086_2016-10-07_final
2016-10-31 10:36:12	ga_ls8c_ard_3-0-0_103072_2016-10-31_final
2017-05-05 09:34:08	ga_ls8c_ard_3-0-0_093074_2017-05-05_final
2017-06-24 09:23:02	ga_ls8c_ard_3-0-0_091076_2017-06-23_final
2017-08-10 10:18:55	ga_ls8c_ard_3-0-0_100076_2017-08-10_final
2018-04-15 09:28:46	ga_ls8c_ard_3-0-0_092076_2018-04-14_final
2018-06-12 10:08:59	ga_ls8c_ard_3-0-0_098085_2018-06-12_final
2018-07-22 10:52:00	ga_ls8c_ard_3-0-0_106068_2018-07-22_final
2018-07-23 09:57:11	ga_ls8c_ard_3-0-0_097070_2018-07-23_final
2018-08-17 09:57:37	ga_ls8c_ard_3-0-0_096086_2018-08-17_final
2019-02-18 11:23:01	ga_ls8c_ard_3-0-0_111067_2019-02-18_final
2019-03-04 10:00:49	ga_ls8c_ard_3-0-0_097078_2019-03-04_final
2019-04-03 10:09:28	ga_ls8c_ard_3-1-0_099069_2019-04-03_final
2019-04-28 10:02:45	ga_ls8c_ard_3-0-0_098068_2019-04-28_final
2019-07-10 10:03:53	ga_ls8c_ard_3-1-0_097085_2019-07-10_final
2019-09-30 11:26:02	ga_ls8c_ard_3-1-0_111073_2019-09-30_final
2019-10-20 09:28:52	ga_ls8c_ard_3-1-0_091089_2019-10-19_final
2019-10-28 10:11:07	ga_ls8c_ard_3-1-0_099071_2019-10-28_final
2019-11-10 11:19:04	ga_ls8c_ard_3-1-0_110071_2019-11-10_final
2019-11-23 10:50:07	ga_ls8c_ard_3-1-0_105076_2019-11-23_final
2019-11-30 10:53:54	ga_ls8c_ard_3-1-0_106070_2019-11-30_final
2019-12-11 10:36:09	ga_ls8c_ard_3-1-0_103072_2019-12-11_final
2020-01-01 10:53:01	ga_ls8c_ard_3-1-0_106068_2020-01-01_final
2020-01-30 10:24:47	ga_ls8c_ard_3-1-0_101075_2020-01-30_final
2020-04-05 10:09:59	ga_ls8c_ard_3-1-0_099070_2020-04-05_final
2020-08-21 10:50:16	ga_ls8c_ard_3-1-0_105077_2020-08-21_final
2020-09-11 11:07:46	ga_ls8c_ard_3-1-0_108074_2020-09-11_final
2020-10-25 09:58:30	ga_ls8c_ard_3-1-0_096086_2020-10-25_final
2021-04-08 10:14:03	ga_ls8c_ard_3-2-0_099080_2021-04-08_final
2021-05-11 09:16:14	ga_ls8c_ard_3-2-0_090075_2021-05-10_final
2021-07-22 10:08:30	ga_ls8c_ard_3-2-0_098081_2021-07-22_final
2021-09-01 10:00:59	ga_ls8c_ard_3-2-0_097077_2021-09-01_final
2021-09-10 11:30:56	ga_ls8c_ard_3-2-0_112070_2021-09-10_final
2021-11-01 11:07:58	ga_ls8c_ard_3-2-0_108074_2021-11-01_final
2022-01-04 11:07:47	ga_ls8c_ard_3-2-1_108074_2022-01-04_final
2022-02-22 10:10:21	ga_ls8c_ard_3-2-1_099070_2022-02-22_final
2022-03-04 09:16:07	ga_ls8c_ard_3-2-1_089089_2022-03-03_final
2022-04-15 11:28:43	ga_ls8c_ard_3-2-1_111081_2022-04-15_final
2022-05-01 11:25:28	ga_ls8c_ard_3-2-1_111073_2022-05-01_final
2022-05-28 11:06:16	ga_ls8c_ard_3-2-1_108071_2022-05-28_final
2022-07-21 10:31:10	ga_ls8c_ard_3-2-1_102075_2022-07-21_final
2022-09-02 10:16:26	ga_ls8c_ard_3-2-1_099084_2022-09-02_final
2023-03-08 09:52:58	ga_ls8c_ard_3-2-1_096073_2023-03-08_final
2023-03-13 10:08:42	ga_ls8c_ard_3-2-1_099066_2023-03-13_final
2023-04-29 11:07:02	ga_ls8c_ard_3-2-1_108074_2023-04-29_final
2023-04-30 10:09:25	ga_ls8c_ard_3-2-1_099069_2023-04-30_final
2023-06-24 10:20:47	ga_ls8c_ard_3-2-1_100082_2023-06-24_final
2023-09-11 11:14:09	ga_ls8c_ard_3-2-1_109075_2023-09-11_final
2023-09-15 09:16:10	ga_ls8c_ard_3-2-1_089089_2023-09-14_final
2023-11-07 09:34:25	ga_ls8c_ard_3-2-1_092088_2023-11-07_final
2023-12-30 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-12-30_final
2024-01-08 09:41:07	ga_ls8c_ard_3-2-1_094074_2024-01-08_final
2024-02-22 09:12:58	ga_ls8c_ard_3-2-1_089081_2024-02-21_final
2024-02-25 09:40:15	ga_ls8c_ard_3-2-1_094072_2024-02-25_final
2024-03-28 09:39:25	ga_ls8c_ard_3-2-1_094071_2024-03-28_final
2024-04-26 09:10:45	ga_ls8c_ard_3-2-1_089077_2024-04-25_nrt

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