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
2014-07-14 09:46:40	ga_ls8c_ard_3-0-0_095073_2014-07-14_final
2014-09-15 09:07:16	ga_ls8c_ard_3-0-0_088082_2014-09-14_final
2014-10-11 09:40:50	ga_ls8c_ard_3-0-0_094073_2014-10-11_final
2014-12-21 09:45:44	ga_ls8c_ard_3-0-0_095070_2014-12-21_final
2015-01-22 09:46:22	ga_ls8c_ard_3-0-0_095072_2015-01-22_final
2015-05-30 09:51:04	ga_ls8c_ard_3-0-0_095086_2015-05-30_final
2016-06-01 09:45:40	ga_ls8c_ard_3-0-0_095071_2016-06-01_final
2016-07-03 09:45:52	ga_ls8c_ard_3-0-0_095071_2016-07-03_final
2016-09-20 09:07:22	ga_ls8c_ard_3-0-0_088082_2016-09-19_final
2016-11-23 09:07:52	ga_ls8c_ard_3-0-0_088083_2016-11-22_final
2016-12-29 11:57:37	ga_ls8c_ard_3-0-0_116075_2016-12-29_final
2017-07-06 09:45:48	ga_ls8c_ard_3-0-0_095071_2017-07-06_final
2017-12-29 09:46:58	ga_ls8c_ard_3-0-0_095073_2017-12-29_final
2018-03-31 11:52:15	ga_ls8c_ard_3-0-0_115079_2018-03-31_final
2018-04-29 09:45:24	ga_ls8c_ard_3-0-0_094087_2018-04-29_final
2019-02-11 09:40:22	ga_ls8c_ard_3-0-0_094073_2019-02-11_final
2019-02-18 09:44:08	ga_ls8c_ard_3-0-0_095067_2019-02-18_final
2019-04-06 09:05:51	ga_ls8c_ard_3-1-0_088080_2019-04-05_final
2019-04-23 09:43:49	ga_ls8c_ard_3-0-0_095067_2019-04-23_final
2019-09-29 09:07:29	ga_ls8c_ard_3-1-0_088082_2019-09-28_final
2020-01-19 09:06:30	ga_ls8c_ard_3-1-0_088080_2020-01-18_final
2020-03-08 09:47:07	ga_ls8c_ard_3-1-0_095074_2020-03-08_final
2020-05-27 09:48:15	ga_ls8c_ard_3-1-0_095078_2020-05-27_final
2020-05-30 11:58:03	ga_ls8c_ard_3-1-0_116078_2020-05-30_final
2020-08-18 11:57:49	ga_ls8c_ard_3-1-0_116076_2020-08-18_final
2020-11-24 10:02:53	ga_ls8c_ard_3-2-1_098066_2020-11-24_final
2021-03-16 10:09:58	ga_ls8c_ard_3-2-0_098085_2021-03-16_final
2021-03-27 11:23:05	ga_ls8c_ard_3-2-0_111067_2021-03-27_final
2021-04-23 09:29:05	ga_ls8c_ard_3-2-0_092076_2021-04-22_final
2021-05-04 09:16:01	ga_ls8c_ard_3-2-0_089090_2021-05-03_final
2021-05-05 11:34:57	ga_ls8c_ard_3-2-0_112082_2021-05-05_final
2021-06-06 11:29:15	ga_ls8c_ard_3-2-0_112067_2021-06-06_final
2021-06-10 09:28:04	ga_ls8c_ard_3-2-0_092073_2021-06-09_final
2021-06-10 11:09:45	ga_ls8c_ard_3-2-0_108080_2021-06-10_final
2021-06-15 11:23:56	ga_ls8c_ard_3-2-0_111069_2021-06-15_final
2021-07-14 09:16:36	ga_ls8c_ard_3-2-0_090075_2021-07-13_final
2021-07-19 09:31:59	ga_ls8c_ard_3-2-0_093067_2021-07-19_final
2021-08-15 09:16:51	ga_ls8c_ard_3-2-0_090075_2021-08-14_final
2021-08-17 10:42:35	ga_ls8c_ard_3-2-0_104073_2021-08-17_final
2021-08-23 10:09:55	ga_ls8c_ard_3-2-0_098084_2021-08-23_final
2021-08-27 09:40:25	ga_ls8c_ard_3-2-0_094072_2021-08-27_final
2021-09-19 11:23:35	ga_ls8c_ard_3-2-0_111067_2021-09-19_final
2021-10-10 11:46:14	ga_ls8c_ard_3-2-0_114077_2021-10-10_final
2021-10-11 09:16:07	ga_ls8c_ard_3-2-0_089088_2021-10-10_final
2021-10-12 11:35:52	ga_ls8c_ard_3-2-0_112082_2021-10-12_final
2021-11-25 10:22:03	ga_ls8c_ard_3-2-0_100083_2021-11-25_final
2021-12-04 10:14:17	ga_ls8c_ard_3-2-0_099079_2021-12-04_final
2021-12-06 09:58:20	ga_ls8c_ard_3-2-1_097070_2021-12-06_final
2021-12-08 11:26:03	ga_ls8c_ard_3-2-1_111073_2021-12-08_final
2021-12-27 10:17:59	ga_ls8c_ard_3-2-1_100073_2021-12-27_final
2021-12-29 10:10:00	ga_ls8c_ard_3-2-1_098084_2021-12-29_final
2022-01-20 09:30:03	ga_ls8c_ard_3-2-1_092077_2022-01-20_final
2022-01-26 10:29:49	ga_ls8c_ard_3-2-1_102072_2022-01-26_final
2022-01-28 10:21:02	ga_ls8c_ard_3-2-1_100081_2022-01-28_final
2022-01-29 11:02:42	ga_ls8c_ard_3-2-1_107077_2022-01-29_final
2022-02-03 11:24:02	ga_ls8c_ard_3-2-1_110084_2022-02-03_final
2022-02-12 09:40:32	ga_ls8c_ard_3-2-1_093088_2022-02-12_final
2022-02-17 11:31:31	ga_ls8c_ard_3-2-1_112072_2022-02-17_final
2022-03-13 10:45:10	ga_ls8c_ard_3-2-1_104080_2022-03-13_final
2022-03-26 10:16:06	ga_ls8c_ard_3-2-1_099085_2022-03-26_final
2022-03-30 11:29:01	ga_ls8c_ard_3-2-1_111082_2022-03-30_final
2022-04-05 09:11:05	ga_ls8c_ard_3-2-1_089077_2022-04-04_final
2022-04-08 09:39:37	ga_ls8c_ard_3-2-1_094071_2022-04-08_final
2022-05-28 11:08:40	ga_ls8c_ard_3-2-1_108077_2022-05-28_final
2022-06-19 10:28:16	ga_ls8c_ard_3-2-1_102068_2022-06-19_final
2022-07-29 11:23:06	ga_ls8c_ard_3-2-1_110081_2022-07-29_final
2022-07-30 10:23:05	ga_ls8c_ard_3-2-1_101070_2022-07-30_final
2022-08-07 09:38:54	ga_ls8c_ard_3-2-1_093083_2022-08-07_final
2022-08-07 11:15:00	ga_ls8c_ard_3-2-1_109076_2022-08-07_final
2022-08-27 09:11:51	ga_ls8c_ard_3-2-1_089077_2022-08-26_final
2022-10-20 10:16:53	ga_ls8c_ard_3-2-1_099085_2022-10-20_final
2022-10-31 09:57:13	ga_ls8c_ard_3-2-1_096082_2022-10-31_final
2022-11-06 10:59:25	ga_ls8c_ard_3-2-1_106083_2022-11-06_final
2022-11-15 09:12:16	ga_ls8c_ard_3-2-1_089078_2022-11-14_final
2022-11-22 09:21:14	ga_ls8c_ard_3-2-1_090085_2022-11-21_final
2022-12-01 09:15:04	ga_ls8c_ard_3-2-1_089085_2022-11-30_final
2022-12-24 09:19:52	ga_ls8c_ard_3-2-1_090082_2022-12-23_final
2023-01-12 11:25:15	ga_ls8c_ard_3-2-1_111071_2023-01-12_final
2023-02-09 10:10:16	ga_ls8c_ard_3-2-1_099069_2023-02-09_final
2023-02-12 10:42:20	ga_ls8c_ard_3-2-1_104072_2023-02-12_final
2023-03-13 10:13:30	ga_ls8c_ard_3-2-1_099078_2023-03-13_final
2023-03-17 09:52:20	ga_ls8c_ard_3-2-1_095087_2023-03-17_final
2023-03-31 11:41:02	ga_ls8c_ard_3-2-1_113081_2023-03-31_final
2023-05-04 11:23:56	ga_ls8c_ard_3-2-1_111070_2023-05-04_final
2023-06-04 10:42:10	ga_ls8c_ard_3-2-1_104074_2023-06-04_final
2023-06-16 09:30:31	ga_ls8c_ard_3-2-1_092080_2023-06-16_final
2023-06-20 10:44:17	ga_ls8c_ard_3-2-1_104079_2023-06-20_final
2023-07-31 10:39:16	ga_ls8c_ard_3-2-1_103081_2023-07-31_final
2023-08-01 09:45:15	ga_ls8c_ard_3-2-1_094085_2023-08-01_final
2023-10-02 11:36:23	ga_ls8c_ard_3-2-1_112084_2023-10-02_final
2023-10-19 10:39:35	ga_ls8c_ard_3-2-1_103081_2023-10-19_final
2023-11-27 10:45:28	ga_ls8c_ard_3-2-1_104080_2023-11-27_final
2023-12-13 10:45:23	ga_ls8c_ard_3-2-1_104080_2023-12-13_final
2024-01-01 11:14:39	ga_ls8c_ard_3-2-1_109076_2024-01-01_final
2024-01-03 09:26:58	ga_ls8c_ard_3-2-1_091085_2024-01-02_final
2024-01-12 09:18:01	ga_ls8c_ard_3-2-1_090078_2024-01-11_final
2024-01-24 11:22:20	ga_ls8c_ard_3-2-1_110080_2024-01-24_final
2024-02-11 11:11:14	ga_ls8c_ard_3-2-1_108083_2024-02-11_final
2024-02-20 11:01:26	ga_ls8c_ard_3-2-1_107074_2024-02-20_final
2024-03-20 10:33:01	ga_ls8c_ard_3-2-1_102081_2024-03-20_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