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
2013-09-12 09:09:08	ga_ls8c_ard_3-0-0_088082_2013-09-11_final
2015-02-26 11:57:35	ga_ls8c_ard_3-0-0_116076_2015-02-26_final
2015-07-01 09:51:23	ga_ls8c_ard_3-0-0_095086_2015-07-01_final
2015-10-04 09:06:45	ga_ls8c_ard_3-0-0_088081_2015-10-03_final
2016-06-10 09:39:31	ga_ls8c_ard_3-0-0_094071_2016-06-10_final
2016-09-05 09:52:12	ga_ls8c_ard_3-0-0_095086_2016-09-05_final
2016-09-30 09:45:38	ga_ls8c_ard_3-0-0_094085_2016-09-30_final
2016-12-25 09:06:58	ga_ls8c_ard_3-1-0_088081_2016-12-24_final
2017-01-04 09:40:49	ga_ls8c_ard_3-0-0_094073_2017-01-04_final
2017-02-12 09:46:45	ga_ls8c_ard_3-0-0_095073_2017-02-12_final
2017-04-16 09:06:35	ga_ls8c_ard_3-0-0_088082_2017-04-15_final
2017-05-18 09:05:48	ga_ls8c_ard_3-0-0_088080_2017-05-17_final
2017-06-23 11:57:56	ga_ls8c_ard_3-0-0_116077_2017-06-23_final
2017-10-25 09:07:26	ga_ls8c_ard_3-0-0_088082_2017-10-24_final
2017-11-10 09:07:24	ga_ls8c_ard_3-0-0_088082_2017-11-09_final
2018-04-13 09:39:34	ga_ls8c_ard_3-0-0_094072_2018-04-13_final
2018-04-13 09:40:45	ga_ls8c_ard_3-0-0_094075_2018-04-13_final
2018-06-10 11:56:13	ga_ls8c_ard_3-0-0_116075_2018-06-10_final
2019-01-17 09:45:50	ga_ls8c_ard_3-0-0_095071_2019-01-17_final
2019-03-05 09:06:24	ga_ls8c_ard_3-1-0_088081_2019-03-04_final
2019-04-07 09:51:30	ga_ls8c_ard_3-1-0_095086_2019-04-07_final
2019-08-22 09:40:23	ga_ls8c_ard_3-1-0_094072_2019-08-22_final
2019-08-25 11:51:23	ga_ls8c_ard_3-1-0_115075_2019-08-25_final
2019-10-09 09:40:12	ga_ls8c_ard_3-1-0_094071_2019-10-09_final
2019-12-08 10:02:52	ga_ls8c_ard_3-2-1_098066_2019-12-08_final
2020-03-13 10:02:26	ga_ls8c_ard_3-2-1_098066_2020-03-13_final
2020-08-08 09:44:11	ga_ls8c_ard_3-1-0_094082_2020-08-08_final
2021-03-19 10:34:04	ga_ls8c_ard_3-2-0_103068_2021-03-19_final
2021-03-27 11:23:53	ga_ls8c_ard_3-2-0_111069_2021-03-27_final
2021-03-29 09:34:14	ga_ls8c_ard_3-2-0_093073_2021-03-29_final
2021-04-25 10:52:24	ga_ls8c_ard_3-2-0_106068_2021-04-25_final
2021-05-04 09:10:50	ga_ls8c_ard_3-2-0_089077_2021-05-03_final
2021-05-21 11:31:07	ga_ls8c_ard_3-2-0_112072_2021-05-21_final
2021-05-26 10:13:37	ga_ls8c_ard_3-2-0_099079_2021-05-26_final
2021-06-06 11:35:38	ga_ls8c_ard_3-2-0_112083_2021-06-06_final
2021-06-13 09:57:00	ga_ls8c_ard_3-2-0_097068_2021-06-13_final
2021-06-17 09:33:29	ga_ls8c_ard_3-2-0_093071_2021-06-17_final
2021-06-19 09:27:31	ga_ls8c_ard_3-2-0_091087_2021-06-18_final
2021-07-01 11:24:47	ga_ls8c_ard_3-2-0_111071_2021-07-01_final
2021-09-02 09:07:22	ga_ls8c_ard_3-2-0_088082_2021-09-01_final
2021-09-19 11:24:23	ga_ls8c_ard_3-2-0_111069_2021-09-19_final
2021-09-28 11:23:26	ga_ls8c_ard_3-2-0_110082_2021-09-28_final
2021-09-29 10:25:49	ga_ls8c_ard_3-2-0_101077_2021-09-29_final
2021-10-05 11:24:04	ga_ls8c_ard_3-2-0_111068_2021-10-05_final
2021-10-15 10:27:54	ga_ls8c_ard_3-2-0_101082_2021-10-15_final
2021-10-24 10:22:32	ga_ls8c_ard_3-2-0_100084_2021-10-24_final
2021-10-30 09:40:15	ga_ls8c_ard_3-2-0_094071_2021-10-30_final
2021-11-17 09:29:00	ga_ls8c_ard_3-2-0_092074_2021-11-16_final
2021-12-08 11:24:51	ga_ls8c_ard_3-2-1_111070_2021-12-08_final
2021-12-12 09:22:02	ga_ls8c_ard_3-2-1_091072_2021-12-11_final
2021-12-13 11:46:10	ga_ls8c_ard_3-2-1_114077_2021-12-13_final
2022-01-02 09:40:52	ga_ls8c_ard_3-2-1_094073_2022-01-02_final
2022-01-28 10:22:14	ga_ls8c_ard_3-2-1_100084_2022-01-28_final
2022-01-31 10:49:32	ga_ls8c_ard_3-2-1_105075_2022-01-31_final
2022-02-17 09:51:51	ga_ls8c_ard_3-2-1_096070_2022-02-17_final
2022-02-23 09:21:31	ga_ls8c_ard_3-2-1_090087_2022-02-22_final
2022-03-10 10:09:30	ga_ls8c_ard_3-2-1_099068_2022-03-10_final
2022-03-28 09:56:32	ga_ls8c_ard_3-2-1_097067_2022-03-28_final
2022-04-05 10:49:34	ga_ls8c_ard_3-2-1_105076_2022-04-05_final
2022-04-10 09:33:40	ga_ls8c_ard_3-2-1_092087_2022-04-10_final
2022-04-28 09:21:39	ga_ls8c_ard_3-2-1_090088_2022-04-27_final
2022-05-01 09:51:46	ga_ls8c_ard_3-2-1_095086_2022-05-01_final
2022-05-20 11:58:08	ga_ls8c_ard_3-2-1_116077_2022-05-20_final
2022-06-06 09:28:32	ga_ls8c_ard_3-2-1_091089_2022-06-05_final
2022-07-30 10:25:53	ga_ls8c_ard_3-2-1_101077_2022-07-30_final
2022-08-09 09:28:57	ga_ls8c_ard_3-2-1_091089_2022-08-08_final
2022-09-22 11:24:21	ga_ls8c_ard_3-2-1_111068_2022-09-22_final
2022-10-17 11:18:51	ga_ls8c_ard_3-2-1_110070_2022-10-17_final
2022-11-25 11:24:39	ga_ls8c_ard_3-2-1_111069_2022-11-25_final
2023-01-09 10:53:59	ga_ls8c_ard_3-2-1_106070_2023-01-09_final
2023-01-19 09:53:16	ga_ls8c_ard_3-2-1_096073_2023-01-19_final
2023-01-20 10:39:45	ga_ls8c_ard_3-2-1_103081_2023-01-20_final
2023-01-25 10:53:33	ga_ls8c_ard_3-2-1_106069_2023-01-25_final
2023-03-30 10:52:59	ga_ls8c_ard_3-2-1_106069_2023-03-30_final
2023-04-27 11:17:49	ga_ls8c_ard_3-2-1_110070_2023-04-27_final
2023-04-29 09:33:21	ga_ls8c_ard_3-2-1_092087_2023-04-29_final
2023-05-08 09:21:04	ga_ls8c_ard_3-2-1_091072_2023-05-07_final
2023-05-24 09:28:10	ga_ls8c_ard_3-2-1_091090_2023-05-23_final
2023-06-10 10:06:45	ga_ls8c_ard_3-2-1_098078_2023-06-10_final
2023-06-23 09:39:30	ga_ls8c_ard_3-2-1_093087_2023-06-23_final
2023-08-01 09:44:51	ga_ls8c_ard_3-2-1_094084_2023-08-01_final
2023-08-09 10:27:56	ga_ls8c_ard_3-2-1_102068_2023-08-09_final
2023-08-18 10:27:26	ga_ls8c_ard_3-2-1_101082_2023-08-18_final
2023-08-28 09:27:16	ga_ls8c_ard_3-2-1_091086_2023-08-27_final
2023-08-30 10:49:00	ga_ls8c_ard_3-2-1_105074_2023-08-30_final
2023-09-17 10:35:55	ga_ls8c_ard_3-2-1_103072_2023-09-17_final
2023-10-14 10:19:04	ga_ls8c_ard_3-2-1_100076_2023-10-14_final
2023-11-24 10:14:10	ga_ls8c_ard_3-2-1_099079_2023-11-24_final
2023-12-09 09:28:46	ga_ls8c_ard_3-2-1_092074_2023-12-08_final
2023-12-20 09:11:56	ga_ls8c_ard_3-2-1_089078_2023-12-19_final
2024-01-16 10:28:36	ga_ls8c_ard_3-2-1_102069_2024-01-16_final
2024-01-17 09:40:09	ga_ls8c_ard_3-2-1_093087_2024-01-17_final
2024-01-27 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-01-27_final
2024-01-27 10:11:55	ga_ls8c_ard_3-2-1_099074_2024-01-27_final
2024-02-05 10:04:38	ga_ls8c_ard_3-2-1_098071_2024-02-05_final
2024-02-06 09:14:13	ga_ls8c_ard_3-2-1_089084_2024-02-05_final
2024-03-05 11:12:50	ga_ls8c_ard_3-2-1_109072_2024-03-05_final
2024-03-08 10:02:49	ga_ls8c_ard_3-2-1_098067_2024-03-08_final
2024-03-28 09:39:25	ga_ls8c_ard_3-2-1_094071_2024-03-28_final
2024-03-28 09:40:13	ga_ls8c_ard_3-2-1_094073_2024-03-28_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