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
2013-08-12 09:46:25	ga_ls8c_ard_3-0-0_095067_2013-08-12_final
2014-03-31 11:29:42	ga_ls8c_ard_3-0-0_112067_2014-03-31_final
2014-04-25 09:46:39	ga_ls8c_ard_3-0-0_095073_2014-04-25_final
2014-09-28 11:52:31	ga_ls8c_ard_3-0-0_115078_2014-09-28_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2015-04-19 11:28:51	ga_ls8c_ard_3-0-0_112067_2015-04-19_final
2015-06-24 09:39:33	ga_ls8c_ard_3-0-0_094072_2015-06-24_final
2015-10-01 11:51:13	ga_ls8c_ard_3-0-0_115075_2015-10-01_final
2015-11-13 11:30:46	ga_ls8c_ard_3-0-0_112070_2015-11-13_final
2016-05-09 09:43:23	ga_ls8c_ard_3-0-0_094081_2016-05-09_final
2016-07-02 09:06:59	ga_ls8c_ard_3-0-0_088082_2016-07-01_final
2016-12-25 09:07:22	ga_ls8c_ard_3-0-0_088082_2016-12-24_final
2017-02-11 09:06:41	ga_ls8c_ard_3-1-0_088081_2017-02-10_final
2017-07-31 09:40:35	ga_ls8c_ard_3-0-0_094073_2017-07-31_final
2017-10-09 09:07:24	ga_ls8c_ard_3-0-0_088082_2017-10-08_final
2017-11-20 09:41:38	ga_ls8c_ard_3-0-0_094075_2017-11-20_final
2018-02-08 09:40:04	ga_ls8c_ard_3-0-0_094072_2018-02-08_final
2018-02-27 11:50:56	ga_ls8c_ard_3-0-0_115075_2018-02-27_final
2018-04-13 09:37:34	ga_ls8c_ard_3-0-0_094067_2018-04-13_final
2018-06-05 11:37:37	ga_ls8c_ard_3-0-0_113075_2018-06-05_final
2018-08-31 11:46:34	ga_ls8c_ard_3-0-0_114080_2018-08-31_final
2018-12-16 09:51:04	ga_ls8c_ard_3-0-0_095084_2018-12-16_final
2019-01-15 11:35:29	ga_ls8c_ard_3-0-0_113067_2019-01-15_final
2019-02-27 09:39:31	ga_ls8c_ard_3-0-0_094071_2019-02-27_final
2019-03-15 09:40:37	ga_ls8c_ard_3-1-0_094074_2019-03-15_final
2019-08-04 11:30:21	ga_ls8c_ard_3-1-0_112069_2019-08-04_final
2020-02-12 11:30:43	ga_ls8c_ard_3-1-0_112070_2020-02-12_final
2020-04-02 09:43:06	ga_ls8c_ard_3-1-0_094080_2020-04-02_final
2020-04-09 09:46:27	ga_ls8c_ard_3-1-0_095073_2020-04-09_final
2020-07-28 11:35:35	ga_ls8c_ard_3-1-0_113067_2020-07-28_final
2021-03-07 11:51:08	ga_ls8c_ard_3-2-0_115075_2021-03-07_final
2021-03-10 09:06:14	ga_ls8c_ard_3-2-0_088080_2021-03-09_final
2021-04-01 11:47:12	ga_ls8c_ard_3-2-0_114081_2021-04-01_final
2021-04-14 09:40:08	ga_ls8c_ard_3-2-0_093088_2021-04-14_final
2021-05-16 11:13:19	ga_ls8c_ard_3-2-0_109074_2021-05-16_final
2021-05-27 10:55:17	ga_ls8c_ard_3-2-0_106075_2021-05-27_final
2021-06-23 10:39:18	ga_ls8c_ard_3-2-0_103081_2021-06-23_final
2021-06-27 10:09:01	ga_ls8c_ard_3-2-0_099067_2021-06-27_final
2021-06-30 09:06:14	ga_ls8c_ard_3-2-0_088080_2021-06-29_final
2021-06-30 09:06:38	ga_ls8c_ard_3-2-0_088081_2021-06-29_final
2021-07-03 09:39:32	ga_ls8c_ard_3-2-0_093086_2021-07-03_final
2021-07-14 09:17:00	ga_ls8c_ard_3-2-0_090076_2021-07-13_final
2021-07-31 09:57:13	ga_ls8c_ard_3-2-0_097068_2021-07-31_final
2021-08-02 11:24:33	ga_ls8c_ard_3-2-0_111070_2021-08-02_final
2021-08-04 09:34:07	ga_ls8c_ard_3-2-0_093072_2021-08-04_final
2021-08-14 10:14:03	ga_ls8c_ard_3-2-0_099079_2021-08-14_final
2021-08-27 09:40:01	ga_ls8c_ard_3-2-0_094071_2021-08-27_final
2021-11-03 10:53:13	ga_ls8c_ard_3-2-0_106068_2021-11-03_final
2021-11-07 10:29:16	ga_ls8c_ard_3-2-0_102070_2021-11-07_final
2021-11-09 10:17:18	ga_ls8c_ard_3-2-0_100071_2021-11-09_final
2021-11-20 11:35:59	ga_ls8c_ard_3-2-0_113067_2021-11-20_final
2021-11-25 11:57:44	ga_ls8c_ard_3-2-0_116075_2021-11-25_final
2021-11-27 10:04:30	ga_ls8c_ard_3-2-0_098070_2021-11-27_final
2021-12-04 10:09:06	ga_ls8c_ard_3-2-1_099066_2021-12-04_final
2021-12-09 10:33:37	ga_ls8c_ard_3-2-1_102081_2021-12-09_final
2021-12-18 10:23:25	ga_ls8c_ard_3-2-1_101071_2021-12-18_final
2022-01-06 10:59:01	ga_ls8c_ard_3-2-1_106083_2022-01-06_final
2022-01-22 09:17:41	ga_ls8c_ard_3-2-1_090077_2022-01-21_final
2022-03-21 11:32:08	ga_ls8c_ard_3-2-1_112074_2022-03-21_final
2022-04-02 10:19:26	ga_ls8c_ard_3-2-1_100078_2022-04-02_final
2022-04-15 11:29:31	ga_ls8c_ard_3-2-1_111083_2022-04-15_final
2022-05-06 10:02:48	ga_ls8c_ard_3-2-1_098067_2022-05-06_final
2022-06-08 09:16:12	ga_ls8c_ard_3-2-1_089089_2022-06-07_final
2022-06-18 09:52:11	ga_ls8c_ard_3-2-1_095086_2022-06-18_final
2022-07-01 09:16:57	ga_ls8c_ard_3-2-1_090075_2022-06-30_final
2022-07-08 09:23:07	ga_ls8c_ard_3-2-1_091075_2022-07-07_final
2022-07-26 09:12:28	ga_ls8c_ard_3-2-1_089079_2022-07-25_final
2022-08-22 10:33:48	ga_ls8c_ard_3-2-1_102081_2022-08-22_final
2022-09-12 09:14:19	ga_ls8c_ard_3-2-1_089083_2022-09-11_final
2023-01-02 09:13:44	ga_ls8c_ard_3-2-1_089082_2023-01-01_final
2023-01-07 09:29:04	ga_ls8c_ard_3-2-1_092074_2023-01-06_final
2023-01-07 09:29:28	ga_ls8c_ard_3-2-1_092075_2023-01-06_final
2023-01-16 09:21:59	ga_ls8c_ard_3-2-1_091072_2023-01-15_final
2023-01-19 11:31:46	ga_ls8c_ard_3-2-1_112072_2023-01-19_final
2023-01-25 09:17:28	ga_ls8c_ard_3-2-1_090076_2023-01-24_final
2023-03-03 09:34:29	ga_ls8c_ard_3-2-1_093073_2023-03-03_final
2023-03-05 09:22:31	ga_ls8c_ard_3-2-1_091074_2023-03-04_final
2023-03-29 11:53:01	ga_ls8c_ard_3-2-1_115080_2023-03-29_final
2023-04-09 09:57:23	ga_ls8c_ard_3-2-1_096085_2023-04-09_final
2023-04-24 09:15:37	ga_ls8c_ard_3-2-1_089089_2023-04-23_final
2023-05-11 11:30:47	ga_ls8c_ard_3-2-1_112072_2023-05-11_final
2023-05-13 11:17:36	ga_ls8c_ard_3-2-1_110070_2023-05-13_final
2023-05-23 10:21:23	ga_ls8c_ard_3-2-1_100084_2023-05-23_final
2023-06-21 11:25:09	ga_ls8c_ard_3-2-1_111073_2023-06-21_final
2023-07-08 10:28:09	ga_ls8c_ard_3-2-1_102069_2023-07-08_final
2023-07-26 10:19:53	ga_ls8c_ard_3-2-1_100079_2023-07-26_final
2023-09-21 10:13:59	ga_ls8c_ard_3-2-1_099079_2023-09-21_final
2023-10-03 10:35:58	ga_ls8c_ard_3-2-1_103072_2023-10-03_final
2023-11-03 11:32:28	ga_ls8c_ard_3-2-1_112074_2023-11-03_final
2023-12-12 09:58:55	ga_ls8c_ard_3-2-1_097072_2023-12-12_final
2024-01-03 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-02_final
2024-01-10 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-01-10_final
2024-01-22 11:32:20	ga_ls8c_ard_3-2-1_112074_2024-01-22_final
2024-01-22 11:36:20	ga_ls8c_ard_3-2-1_112084_2024-01-22_final
2024-01-27 10:15:55	ga_ls8c_ard_3-2-1_099084_2024-01-27_final
2024-02-06 09:11:25	ga_ls8c_ard_3-2-1_089077_2024-02-05_final
2024-02-20 11:00:14	ga_ls8c_ard_3-2-1_107071_2024-02-20_final
2024-02-26 10:25:30	ga_ls8c_ard_3-2-1_101077_2024-02-26_final
2024-03-02 09:06:41	ga_ls8c_ard_3-2-1_088081_2024-03-01_final
2024-03-14 09:33:41	ga_ls8c_ard_3-2-1_092087_2024-03-14_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