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
2013-08-20 10:41:28	ga_ls8c_ard_3-0-0_103081_2013-08-20_final
2013-10-22 09:52:23	ga_ls8c_ard_3-0-0_096067_2013-10-22_final
2014-04-05 10:10:06	ga_ls8c_ard_3-0-0_099069_2014-04-05_final
2014-06-17 10:07:03	ga_ls8c_ard_3-0-0_098078_2014-06-17_final
2014-08-07 10:39:28	ga_ls8c_ard_3-0-0_103081_2014-08-07_final
2014-09-02 11:11:50	ga_ls8c_ard_3-0-0_109069_2014-09-02_final
2014-09-11 09:34:24	ga_ls8c_ard_3-0-0_092088_2014-09-11_final
2014-11-28 09:40:25	ga_ls8c_ard_3-0-0_094072_2014-11-28_final
2014-12-21 11:29:00	ga_ls8c_ard_3-0-0_111081_2014-12-21_final
2015-02-23 09:44:13	ga_ls8c_ard_3-0-0_095067_2015-02-23_final
2015-02-23 11:24:18	ga_ls8c_ard_3-0-0_111070_2015-02-23_final
2015-05-07 09:38:56	ga_ls8c_ard_3-0-0_094071_2015-05-07_final
2015-05-30 11:23:34	ga_ls8c_ard_3-0-0_111070_2015-05-30_final
2015-07-15 10:03:30	ga_ls8c_ard_3-0-0_097085_2015-07-15_final
2015-10-18 10:52:25	ga_ls8c_ard_3-0-0_106067_2015-10-18_final
2015-11-09 10:19:25	ga_ls8c_ard_3-0-0_100077_2015-11-09_final
2016-03-09 10:09:48	ga_ls8c_ard_3-0-0_099069_2016-03-09_final
2016-12-29 10:19:56	ga_ls8c_ard_3-0-0_100078_2016-12-29_final
2017-02-07 09:28:39	ga_ls8c_ard_3-1-0_092074_2017-02-06_final
2017-03-05 10:09:33	ga_ls8c_ard_3-0-0_098084_2017-03-05_final
2017-03-19 10:18:59	ga_ls8c_ard_3-0-0_100077_2017-03-19_final
2017-04-22 10:09:31	ga_ls8c_ard_3-0-0_098085_2017-04-22_final
2017-04-30 10:54:28	ga_ls8c_ard_3-0-0_106074_2017-04-30_final
2017-05-08 10:06:41	ga_ls8c_ard_3-0-0_098078_2017-05-08_final
2017-06-17 10:52:54	ga_ls8c_ard_3-0-0_106069_2017-06-17_final
2017-06-21 10:33:23	ga_ls8c_ard_3-0-0_102082_2017-06-21_final
2017-08-16 11:17:58	ga_ls8c_ard_3-0-0_110069_2017-08-16_final
2017-09-09 10:33:22	ga_ls8c_ard_3-0-0_102081_2017-09-09_final
2017-10-27 10:33:57	ga_ls8c_ard_3-0-0_102082_2017-10-27_final
2017-11-23 10:09:44	ga_ls8c_ard_3-0-0_099068_2017-11-23_final
2018-01-04 10:47:33	ga_ls8c_ard_3-0-0_105070_2018-01-04_final
2018-02-26 09:27:36	ga_ls8c_ard_3-0-0_092072_2018-02-25_final
2018-04-04 11:25:07	ga_ls8c_ard_3-0-0_111073_2018-04-04_final
2018-04-25 11:41:03	ga_ls8c_ard_3-0-0_114067_2018-04-25_final
2018-07-13 11:01:19	ga_ls8c_ard_3-0-0_107076_2018-07-13_final
2018-08-15 11:45:15	ga_ls8c_ard_3-0-0_114077_2018-08-15_final
2018-09-20 09:39:52	ga_ls8c_ard_3-0-0_094072_2018-09-20_final
2018-09-29 09:33:46	ga_ls8c_ard_3-0-0_093072_2018-09-29_final
2018-10-06 11:23:40	ga_ls8c_ard_3-0-0_110084_2018-10-06_final
2018-10-24 09:33:44	ga_ls8c_ard_3-0-0_092087_2018-10-24_final
2018-10-27 09:57:04	ga_ls8c_ard_3-0-0_097068_2018-10-27_final
2018-11-27 12:31:12	ga_ls8c_ard_3-2-1_122067_2018-11-27_final
2019-03-18 10:13:30	ga_ls8c_ard_3-1-0_099079_2019-03-18_final
2019-03-31 09:44:57	ga_ls8c_ard_3-1-0_094085_2019-03-31_final
2019-04-09 11:13:14	ga_ls8c_ard_3-1-0_109074_2019-04-09_final
2019-04-18 09:28:06	ga_ls8c_ard_3-1-0_092074_2019-04-17_final
2019-06-12 09:34:15	ga_ls8c_ard_3-1-0_093073_2019-06-12_final
2019-06-21 09:33:42	ga_ls8c_ard_3-1-0_092087_2019-06-21_final
2019-08-19 10:49:57	ga_ls8c_ard_3-1-0_105076_2019-08-19_final
2019-12-27 10:36:06	ga_ls8c_ard_3-1-0_103072_2019-12-27_final
2019-12-28 11:18:09	ga_ls8c_ard_3-1-0_110069_2019-12-28_final
2020-01-01 10:53:24	ga_ls8c_ard_3-1-0_106069_2020-01-01_final
2020-01-25 11:44:45	ga_ls8c_ard_3-1-0_114074_2020-01-25_final
2020-01-26 10:49:08	ga_ls8c_ard_3-1-0_105074_2020-01-26_final
2020-02-05 11:26:09	ga_ls8c_ard_3-1-0_111074_2020-02-05_final
2020-04-07 10:01:36	ga_ls8c_ard_3-1-0_097080_2020-04-07_final
2020-05-06 09:27:17	ga_ls8c_ard_3-1-0_092072_2020-05-05_final
2020-05-31 09:26:45	ga_ls8c_ard_3-1-0_091086_2020-05-30_final
2020-07-27 10:53:07	ga_ls8c_ard_3-1-0_106069_2020-07-27_final
2020-10-13 09:34:11	ga_ls8c_ard_3-1-0_092087_2020-10-13_final
2020-12-20 09:06:40	ga_ls8c_ard_3-2-0_088080_2020-12-19_final
2021-01-27 10:03:05	ga_ls8c_ard_3-2-0_098067_2021-01-27_final
2021-02-04 09:17:13	ga_ls8c_ard_3-2-0_090076_2021-02-03_final
2021-03-09 11:37:34	ga_ls8c_ard_3-2-0_113072_2021-03-09_final
2021-03-29 09:34:14	ga_ls8c_ard_3-2-0_093073_2021-03-29_final
2021-04-27 09:06:43	ga_ls8c_ard_3-2-0_088082_2021-04-26_final
2021-06-23 10:39:18	ga_ls8c_ard_3-2-0_103081_2021-06-23_final
2021-07-13 10:15:25	ga_ls8c_ard_3-2-0_099083_2021-07-13_final
2021-08-24 10:49:35	ga_ls8c_ard_3-2-0_105075_2021-08-24_final
2021-09-30 09:29:01	ga_ls8c_ard_3-2-0_092074_2021-09-29_final
2022-01-11 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-01-11_final
2022-03-14 09:46:45	ga_ls8c_ard_3-2-1_095073_2022-03-14_final
2022-03-22 10:34:06	ga_ls8c_ard_3-2-1_103068_2022-03-22_final
2022-04-17 09:33:53	ga_ls8c_ard_3-2-1_093072_2022-04-17_final
2022-05-08 09:52:03	ga_ls8c_ard_3-2-1_096071_2022-05-08_final
2022-06-01 09:07:31	ga_ls8c_ard_3-2-1_088083_2022-05-31_final
2022-08-13 10:40:21	ga_ls8c_ard_3-2-1_103082_2022-08-13_final
2022-09-18 10:10:10	ga_ls8c_ard_3-2-1_099068_2022-09-18_final
2022-10-14 09:12:36	ga_ls8c_ard_3-2-1_089079_2022-10-13_final
2022-10-16 10:36:22	ga_ls8c_ard_3-2-1_103072_2022-10-16_final
2022-12-15 09:22:34	ga_ls8c_ard_3-2-1_091073_2022-12-14_final
2023-02-13 11:25:35	ga_ls8c_ard_3-2-1_111072_2023-02-13_final
2023-03-19 11:17:38	ga_ls8c_ard_3-2-1_109084_2023-03-19_final
2023-04-18 09:47:08	ga_ls8c_ard_3-2-1_095075_2023-04-18_final
2023-05-07 10:17:30	ga_ls8c_ard_3-2-1_100074_2023-05-07_final
2023-06-26 10:06:52	ga_ls8c_ard_3-2-1_098078_2023-06-26_final
2023-09-17 10:39:30	ga_ls8c_ard_3-2-1_103081_2023-09-17_final
2023-09-21 10:10:00	ga_ls8c_ard_3-2-1_099069_2023-09-21_final
2023-10-10 09:07:41	ga_ls8c_ard_3-2-1_088083_2023-10-09_final
2023-10-14 10:19:52	ga_ls8c_ard_3-2-1_100078_2023-10-14_final
2023-10-19 10:35:59	ga_ls8c_ard_3-2-1_103072_2023-10-19_final
2023-11-07 09:28:02	ga_ls8c_ard_3-2-1_092072_2023-11-06_final
2023-11-08 11:52:57	ga_ls8c_ard_3-2-1_115079_2023-11-08_final
2023-11-23 09:29:19	ga_ls8c_ard_3-2-1_092075_2023-11-22_final
2023-12-16 11:14:19	ga_ls8c_ard_3-2-1_109075_2023-12-16_final
2023-12-23 11:24:07	ga_ls8c_ard_3-2-1_110084_2023-12-23_final
2023-12-26 10:13:43	ga_ls8c_ard_3-2-1_099078_2023-12-26_final
2023-12-28 11:42:13	ga_ls8c_ard_3-2-1_113083_2023-12-28_final
2024-01-21 10:47:30	ga_ls8c_ard_3-2-1_105070_2024-01-21_final
2024-02-24 10:39:29	ga_ls8c_ard_3-2-1_103081_2024-02-24_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