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
2013-03-30 10:31:27	ga_ls8c_ard_3-1-0_102073_2013-03-30_final
2013-04-09 10:27:58	ga_ls8c_ard_3-0-0_101078_2013-04-09_final
2013-04-11 10:13:49	ga_ls8c_ard_3-0-0_098084_2013-04-11_final
2013-05-11 10:18:49	ga_ls8c_ard_3-0-0_100071_2013-05-11_final
2013-06-02 09:45:28	ga_ls8c_ard_3-0-0_094080_2013-06-02_final
2013-08-17 10:05:21	ga_ls8c_ard_3-0-0_098068_2013-08-17_final
2013-12-06 11:01:23	ga_ls8c_ard_3-0-0_107070_2013-12-06_final
2014-02-08 09:28:14	ga_ls8c_ard_3-0-0_091086_2014-02-07_final
2014-04-09 11:25:48	ga_ls8c_ard_3-0-0_111073_2014-04-09_final
2014-07-06 10:39:39	ga_ls8c_ard_3-0-0_103082_2014-07-06_final
2014-08-10 11:07:59	ga_ls8c_ard_3-0-0_108075_2014-08-10_final
2014-12-17 10:10:03	ga_ls8c_ard_3-0-0_099069_2014-12-17_final
2014-12-22 10:32:59	ga_ls8c_ard_3-0-0_102080_2014-12-22_final
2015-02-05 11:41:10	ga_ls8c_ard_3-0-0_113081_2015-02-05_final
2015-08-09 11:31:55	ga_ls8c_ard_3-0-0_112074_2015-08-09_final
2015-10-26 10:03:26	ga_ls8c_ard_3-0-0_098068_2015-10-26_final
2015-12-12 09:21:48	ga_ls8c_ard_3-0-0_091072_2015-12-11_final
2016-01-04 11:11:13	ga_ls8c_ard_3-0-0_108083_2016-01-04_final
2016-02-15 10:09:40	ga_ls8c_ard_3-0-0_098084_2016-02-15_final
2016-02-16 10:48:56	ga_ls8c_ard_3-0-0_105074_2016-02-16_final
2016-03-04 11:30:33	ga_ls8c_ard_3-0-0_112070_2016-03-04_final
2016-03-08 09:28:56	ga_ls8c_ard_3-0-0_092075_2016-03-07_final
2016-03-09 10:12:59	ga_ls8c_ard_3-0-0_099077_2016-03-09_final
2016-03-09 10:15:23	ga_ls8c_ard_3-0-0_099083_2016-03-09_final
2016-03-30 10:33:20	ga_ls8c_ard_3-0-0_102082_2016-03-30_final
2016-04-12 10:03:33	ga_ls8c_ard_3-0-0_097085_2016-04-12_final
2016-06-12 09:33:09	ga_ls8c_ard_3-0-0_092086_2016-06-12_final
2016-09-23 09:37:04	ga_ls8c_ard_3-0-0_093079_2016-09-23_final
2016-11-02 10:23:50	ga_ls8c_ard_3-1-0_101072_2016-11-02_final
2016-11-23 10:40:46	ga_ls8c_ard_3-0-0_104068_2016-11-23_final
2017-02-19 09:51:18	ga_ls8c_ard_3-0-0_096069_2017-02-19_final
2017-02-23 09:33:45	ga_ls8c_ard_3-0-0_092087_2017-02-23_final
2017-03-13 09:17:15	ga_ls8c_ard_3-1-0_090077_2017-03-12_final
2017-03-21 10:04:36	ga_ls8c_ard_3-0-0_098072_2017-03-21_final
2017-05-20 10:30:45	ga_ls8c_ard_3-0-0_102076_2017-05-20_final
2017-06-17 09:20:24	ga_ls8c_ard_3-0-0_090085_2017-06-16_final
2017-06-17 10:52:30	ga_ls8c_ard_3-0-0_106068_2017-06-17_final
2017-07-03 09:21:40	ga_ls8c_ard_3-0-0_090088_2017-07-02_final
2017-08-19 10:13:59	ga_ls8c_ard_3-0-0_099079_2017-08-19_final
2017-09-04 11:52:07	ga_ls8c_ard_3-0-0_115077_2017-09-04_final
2017-11-13 09:32:18	ga_ls8c_ard_3-0-0_093067_2017-11-13_final
2017-11-14 10:20:21	ga_ls8c_ard_3-0-0_100079_2017-11-14_final
2017-12-08 11:05:42	ga_ls8c_ard_3-0-0_108069_2017-12-08_final
2017-12-23 10:28:04	ga_ls8c_ard_3-0-0_101083_2017-12-23_final
2017-12-26 09:20:52	ga_ls8c_ard_3-0-0_090085_2017-12-25_final
2017-12-27 09:56:57	ga_ls8c_ard_3-0-0_097067_2017-12-27_final
2018-01-26 11:52:21	ga_ls8c_ard_3-0-0_115078_2018-01-26_final
2018-04-02 09:57:24	ga_ls8c_ard_3-0-0_097070_2018-04-02_final
2018-05-28 09:15:21	ga_ls8c_ard_3-0-0_089090_2018-05-27_final
2018-10-06 09:39:36	ga_ls8c_ard_3-0-0_094071_2018-10-06_final
2018-12-12 10:11:00	ga_ls8c_ard_3-0-0_099072_2018-12-12_final
2019-02-10 10:35:36	ga_ls8c_ard_3-0-0_103072_2019-02-10_final
2019-02-15 09:20:50	ga_ls8c_ard_3-0-0_090086_2019-02-14_final
2019-03-08 09:39:40	ga_ls8c_ard_3-1-0_093087_2019-03-08_final
2019-07-07 09:30:35	ga_ls8c_ard_3-1-0_092079_2019-07-07_final
2019-07-24 10:09:07	ga_ls8c_ard_3-1-0_099067_2019-07-24_final
2019-11-08 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-11-08_final
2019-11-20 10:17:38	ga_ls8c_ard_3-1-0_100072_2019-11-20_final
2020-01-02 10:01:46	ga_ls8c_ard_3-1-0_097079_2020-01-02_final
2020-03-12 09:24:45	ga_ls8c_ard_3-1-0_091080_2020-03-11_final
2020-04-07 09:59:13	ga_ls8c_ard_3-1-0_097074_2020-04-07_final
2020-04-18 11:23:28	ga_ls8c_ard_3-1-0_110084_2020-04-18_final
2020-04-21 10:10:17	ga_ls8c_ard_3-1-0_099071_2020-04-21_final
2020-05-06 09:28:05	ga_ls8c_ard_3-1-0_092074_2020-05-05_final
2020-05-27 09:45:28	ga_ls8c_ard_3-1-0_095071_2020-05-27_final
2020-07-11 10:53:26	ga_ls8c_ard_3-1-0_106070_2020-07-11_final
2020-08-05 10:49:22	ga_ls8c_ard_3-1-0_105075_2020-08-05_final
2020-08-12 09:20:16	ga_ls8c_ard_3-1-0_090084_2020-08-11_final
2020-08-14 09:07:08	ga_ls8c_ard_3-1-0_088082_2020-08-13_final
2020-10-06 11:01:41	ga_ls8c_ard_3-1-0_107074_2020-10-06_final
2020-11-10 11:30:57	ga_ls8c_ard_3-1-0_112070_2020-11-10_final
2020-11-19 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-11-19_final
2020-12-24 10:17:13	ga_ls8c_ard_3-2-0_100071_2020-12-24_final
2021-02-14 11:30:45	ga_ls8c_ard_3-2-0_112070_2021-02-14_final
2021-08-10 10:35:58	ga_ls8c_ard_3-2-0_103072_2021-08-10_final
2021-08-13 09:28:48	ga_ls8c_ard_3-2-0_092074_2021-08-12_final
2021-08-31 10:53:25	ga_ls8c_ard_3-2-0_106069_2021-08-31_final
2021-10-03 10:01:08	ga_ls8c_ard_3-2-0_097077_2021-10-03_final
2021-11-01 09:30:17	ga_ls8c_ard_3-2-0_092077_2021-11-01_final
2022-01-07 11:41:53	ga_ls8c_ard_3-2-1_113082_2022-01-07_final
2022-02-24 10:01:11	ga_ls8c_ard_3-2-1_097078_2022-02-24_final
2022-05-06 10:03:36	ga_ls8c_ard_3-2-1_098069_2022-05-06_final
2022-07-01 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-06-30_final
2022-09-05 09:06:53	ga_ls8c_ard_3-2-1_088080_2022-09-04_final
2022-12-11 11:25:01	ga_ls8c_ard_3-2-1_111070_2022-12-11_final
2023-02-03 09:12:30	ga_ls8c_ard_3-2-1_089079_2023-02-02_final
2023-04-11 09:45:46	ga_ls8c_ard_3-2-1_094087_2023-04-11_final
2023-05-23 10:17:00	ga_ls8c_ard_3-2-1_100073_2023-05-23_final
2023-07-29 10:46:25	ga_ls8c_ard_3-2-1_105068_2023-07-29_final
2023-08-13 11:47:18	ga_ls8c_ard_3-2-1_114081_2023-08-13_final
2023-09-30 10:04:40	ga_ls8c_ard_3-2-1_098071_2023-09-30_final
2023-11-08 10:09:41	ga_ls8c_ard_3-2-1_099068_2023-11-08_final
2024-01-17 11:12:39	ga_ls8c_ard_3-2-1_109071_2024-01-17_final
2024-01-26 11:09:33	ga_ls8c_ard_3-2-1_108079_2024-01-26_final
2024-02-10 10:25:35	ga_ls8c_ard_3-2-1_101077_2024-02-10_final
2024-02-28 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-02-28_final
2024-03-08 10:07:12	ga_ls8c_ard_3-2-1_098078_2024-03-08_final
2024-03-13 10:22:56	ga_ls8c_ard_3-2-1_101071_2024-03-13_final
2024-03-31 10:09:08	ga_ls8c_ard_3-2-1_099068_2024-03-31_final
2024-04-04 09:46:01	ga_ls8c_ard_3-2-1_095072_2024-04-04_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