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
2014-09-15 09:07:16	ga_ls8c_ard_3-0-0_088082_2014-09-14_final
2015-03-26 09:06:39	ga_ls8c_ard_3-0-0_088082_2015-03-25_final
2015-05-14 09:51:00	ga_ls8c_ard_3-0-0_095086_2015-05-14_final
2016-08-13 09:40:16	ga_ls8c_ard_3-0-0_094072_2016-08-13_final
2016-11-08 09:45:56	ga_ls8c_ard_3-0-0_095070_2016-11-08_final
2017-02-11 09:06:41	ga_ls8c_ard_3-1-0_088081_2017-02-10_final
2017-03-16 09:46:31	ga_ls8c_ard_3-0-0_095073_2017-03-16_final
2017-05-19 09:47:28	ga_ls8c_ard_3-0-0_095076_2017-05-19_final
2017-10-09 09:07:24	ga_ls8c_ard_3-0-0_088082_2017-10-08_final
2018-03-19 09:45:57	ga_ls8c_ard_3-0-0_095072_2018-03-19_final
2018-11-13 09:06:16	ga_ls8c_ard_3-0-0_088080_2018-11-12_final
2019-10-31 09:07:31	ga_ls8c_ard_3-1-0_088082_2019-10-30_final
2019-11-01 09:46:48	ga_ls8c_ard_3-1-0_095072_2019-11-01_final
2020-01-20 09:45:46	ga_ls8c_ard_3-1-0_095070_2020-01-20_final
2020-01-29 09:41:32	ga_ls8c_ard_3-1-0_094075_2020-01-29_final
2020-07-14 09:51:51	ga_ls8c_ard_3-1-0_095086_2020-07-14_final
2020-08-08 09:39:47	ga_ls8c_ard_3-1-0_094071_2020-08-08_final
2021-03-13 09:34:19	ga_ls8c_ard_3-2-0_093073_2021-03-13_final
2021-03-18 09:52:00	ga_ls8c_ard_3-2-0_096071_2021-03-18_final
2021-04-23 09:33:52	ga_ls8c_ard_3-2-0_092088_2021-04-23_final
2021-05-05 11:28:58	ga_ls8c_ard_3-2-0_112067_2021-05-05_final
2021-05-18 11:04:34	ga_ls8c_ard_3-2-0_107083_2021-05-18_final
2021-05-22 10:39:06	ga_ls8c_ard_3-2-0_103081_2021-05-22_final
2021-05-25 09:28:45	ga_ls8c_ard_3-2-0_092075_2021-05-24_final
2021-05-28 09:56:53	ga_ls8c_ard_3-2-0_097068_2021-05-28_final
2021-07-01 09:51:53	ga_ls8c_ard_3-2-0_095086_2021-07-01_final
2021-07-14 10:55:53	ga_ls8c_ard_3-2-0_106076_2021-07-14_final
2021-07-18 10:28:48	ga_ls8c_ard_3-2-0_102070_2021-07-18_final
2021-07-21 09:28:26	ga_ls8c_ard_3-2-0_091089_2021-07-20_final
2021-07-29 10:10:45	ga_ls8c_ard_3-2-0_099071_2021-07-29_final
2021-08-23 10:07:31	ga_ls8c_ard_3-2-0_098078_2021-08-23_final
2021-08-27 09:40:01	ga_ls8c_ard_3-2-0_094071_2021-08-27_final
2021-08-29 09:28:52	ga_ls8c_ard_3-2-0_092074_2021-08-28_final
2021-09-05 11:14:22	ga_ls8c_ard_3-2-0_109075_2021-09-05_final
2021-11-01 09:34:40	ga_ls8c_ard_3-2-0_092088_2021-11-01_final
2021-11-02 11:52:50	ga_ls8c_ard_3-2-0_115078_2021-11-02_final
2021-11-10 09:27:15	ga_ls8c_ard_3-2-0_091085_2021-11-09_final
2021-11-11 11:45:00	ga_ls8c_ard_3-2-0_114074_2021-11-11_final
2021-11-28 09:11:40	ga_ls8c_ard_3-2-0_089077_2021-11-27_final
2021-12-08 09:47:10	ga_ls8c_ard_3-2-1_095073_2021-12-08_final
2021-12-09 10:33:37	ga_ls8c_ard_3-2-1_102081_2021-12-09_final
2022-01-04 09:34:30	ga_ls8c_ard_3-2-1_092088_2022-01-04_final
2022-02-05 09:33:59	ga_ls8c_ard_3-2-1_092087_2022-02-05_final
2022-02-18 10:39:29	ga_ls8c_ard_3-2-1_103081_2022-02-18_final
2022-03-23 11:23:44	ga_ls8c_ard_3-2-1_110084_2022-03-23_final
2022-04-09 10:25:17	ga_ls8c_ard_3-2-1_101077_2022-04-09_final
2022-04-10 09:33:16	ga_ls8c_ard_3-2-1_092086_2022-04-10_final
2022-05-01 11:23:53	ga_ls8c_ard_3-2-1_111069_2022-05-01_final
2022-05-03 09:33:51	ga_ls8c_ard_3-2-1_093072_2022-05-03_final
2022-05-05 09:21:55	ga_ls8c_ard_3-2-1_091073_2022-05-04_final
2022-05-07 09:15:58	ga_ls8c_ard_3-2-1_089089_2022-05-06_final
2022-05-23 10:48:57	ga_ls8c_ard_3-2-1_105074_2022-05-23_final
2022-06-06 09:27:20	ga_ls8c_ard_3-2-1_091086_2022-06-05_final
2022-06-09 09:58:16	ga_ls8c_ard_3-2-1_096086_2022-06-09_final
2022-07-04 11:25:08	ga_ls8c_ard_3-2-1_111071_2022-07-04_final
2022-07-08 09:27:55	ga_ls8c_ard_3-2-1_091087_2022-07-07_final
2022-07-22 11:14:26	ga_ls8c_ard_3-2-1_109075_2022-07-22_final
2022-08-09 09:29:21	ga_ls8c_ard_3-2-1_091090_2022-08-08_final
2022-08-21 09:46:56	ga_ls8c_ard_3-2-1_095072_2022-08-21_final
2022-09-03 09:18:01	ga_ls8c_ard_3-2-1_090077_2022-09-02_final
2022-09-06 11:25:03	ga_ls8c_ard_3-2-1_111070_2022-09-06_final
2022-09-12 09:14:19	ga_ls8c_ard_3-2-1_089083_2022-09-11_final
2022-11-02 11:18:57	ga_ls8c_ard_3-2-1_110070_2022-11-02_final
2022-11-30 11:45:11	ga_ls8c_ard_3-2-1_114074_2022-11-30_final
2022-12-07 10:10:29	ga_ls8c_ard_3-2-1_099069_2022-12-07_final
2023-01-29 10:29:39	ga_ls8c_ard_3-2-1_102071_2023-01-29_final
2023-01-30 09:34:25	ga_ls8c_ard_3-2-1_093072_2023-01-30_final
2023-03-01 11:28:56	ga_ls8c_ard_3-2-1_111081_2023-03-01_final
2023-03-08 09:52:10	ga_ls8c_ard_3-2-1_096071_2023-03-08_final
2023-03-08 09:58:09	ga_ls8c_ard_3-2-1_096086_2023-03-08_final
2023-03-09 10:35:49	ga_ls8c_ard_3-2-1_103072_2023-03-09_final
2023-03-13 10:11:06	ga_ls8c_ard_3-2-1_099072_2023-03-13_final
2023-03-29 10:13:44	ga_ls8c_ard_3-2-1_099079_2023-03-29_final
2023-03-29 11:52:13	ga_ls8c_ard_3-2-1_115078_2023-03-29_final
2023-04-02 11:23:51	ga_ls8c_ard_3-2-1_111069_2023-04-02_final
2023-04-07 10:07:00	ga_ls8c_ard_3-2-1_098078_2023-04-07_final
2023-05-30 10:24:47	ga_ls8c_ard_3-2-1_101077_2023-05-30_final
2023-07-01 10:27:05	ga_ls8c_ard_3-2-1_101082_2023-07-01_final
2023-07-05 11:37:18	ga_ls8c_ard_3-2-1_113072_2023-07-05_final
2023-07-09 11:11:25	ga_ls8c_ard_3-2-1_109069_2023-07-09_final
2023-07-13 10:51:54	ga_ls8c_ard_3-2-1_105082_2023-07-13_final
2023-07-25 11:14:17	ga_ls8c_ard_3-2-1_109076_2023-07-25_final
2023-08-03 09:34:30	ga_ls8c_ard_3-2-1_092089_2023-08-03_final
2023-08-03 11:10:11	ga_ls8c_ard_3-2-1_108081_2023-08-03_final
2023-09-12 11:58:13	ga_ls8c_ard_3-2-1_116077_2023-09-12_final
2023-09-25 11:24:11	ga_ls8c_ard_3-2-1_111069_2023-09-25_final
2023-10-02 09:51:55	ga_ls8c_ard_3-2-1_096070_2023-10-02_final
2023-10-23 10:11:18	ga_ls8c_ard_3-2-1_099072_2023-10-23_final
2023-11-25 09:16:57	ga_ls8c_ard_3-2-1_090075_2023-11-24_final
2023-11-25 09:21:44	ga_ls8c_ard_3-2-1_090087_2023-11-24_final
2023-11-28 09:52:37	ga_ls8c_ard_3-2-1_095087_2023-11-28_final
2023-12-10 11:52:56	ga_ls8c_ard_3-2-1_115079_2023-12-10_final
2023-12-18 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-12-17_final
2023-12-20 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-12-19_final
2023-12-26 10:08:56	ga_ls8c_ard_3-2-1_099066_2023-12-26_final
2024-01-08 09:41:07	ga_ls8c_ard_3-2-1_094074_2024-01-08_final
2024-01-10 09:27:59	ga_ls8c_ard_3-2-1_092072_2024-01-09_final
2024-02-24 10:35:53	ga_ls8c_ard_3-2-1_103072_2024-02-24_final
2024-02-27 09:34:16	ga_ls8c_ard_3-2-1_092088_2024-02-27_final
2024-03-03 11:25:14	ga_ls8c_ard_3-2-1_111072_2024-03-03_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