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
2016-04-19 11:46:35	ga_ls8c_ard_3-0-0_114080_2016-04-19_final
2016-09-01 11:52:11	ga_ls8c_ard_3-0-0_115077_2016-09-01_final
2016-11-27 11:58:55	ga_ls8c_ard_3-0-0_116078_2016-11-27_final
2016-12-31 11:47:39	ga_ls8c_ard_3-0-0_114081_2016-12-31_final
2017-03-03 11:58:25	ga_ls8c_ard_3-0-0_116078_2017-03-03_final
2017-10-29 11:58:53	ga_ls8c_ard_3-0-0_116078_2017-10-29_final
2017-11-23 10:08:56	ga_ls8c_ard_3-2-1_099066_2017-11-23_final
2019-12-14 09:28:58	ga_ls8c_ard_3-2-0_092074_2019-12-13_final
2019-12-17 10:02:15	ga_ls8c_ard_3-2-0_097080_2019-12-17_final
2020-09-12 11:53:26	ga_ls8c_ard_3-1-0_115080_2020-09-12_final
2020-10-07 11:47:45	ga_ls8c_ard_3-1-0_114081_2020-10-07_final
2021-01-24 09:39:22	ga_ls8c_ard_3-2-0_093085_2021-01-24_final
2021-02-27 09:22:53	ga_ls8c_ard_3-2-0_091075_2021-02-26_final
2021-02-27 09:28:52	ga_ls8c_ard_3-2-0_091090_2021-02-26_final
2021-03-29 09:39:49	ga_ls8c_ard_3-2-0_093087_2021-03-29_final
2021-04-04 10:35:36	ga_ls8c_ard_3-2-0_103072_2021-04-04_final
2021-05-04 09:12:49	ga_ls8c_ard_3-2-0_089082_2021-05-03_final
2021-05-04 10:51:42	ga_ls8c_ard_3-2-0_105082_2021-05-04_final
2021-06-01 09:40:10	ga_ls8c_ard_3-2-0_093088_2021-06-01_final
2021-07-08 09:57:41	ga_ls8c_ard_3-2-0_096085_2021-07-08_final
2021-07-20 11:57:20	ga_ls8c_ard_3-2-0_116075_2021-07-20_final
2021-07-21 09:27:14	ga_ls8c_ard_3-2-0_091086_2021-07-20_final
2021-07-23 10:46:35	ga_ls8c_ard_3-2-0_105068_2021-07-23_final
2021-08-09 11:34:46	ga_ls8c_ard_3-2-0_112080_2021-08-09_final
2021-08-11 11:19:38	ga_ls8c_ard_3-2-0_110073_2021-08-11_final
2021-08-14 10:10:52	ga_ls8c_ard_3-2-0_099071_2021-08-14_final
2021-09-12 11:23:22	ga_ls8c_ard_3-2-0_110082_2021-09-12_final
2021-09-18 09:07:25	ga_ls8c_ard_3-2-0_088082_2021-09-17_final
2021-09-19 11:25:59	ga_ls8c_ard_3-2-0_111073_2021-09-19_final
2021-10-11 09:14:31	ga_ls8c_ard_3-2-0_089084_2021-10-10_final
2021-10-14 11:19:32	ga_ls8c_ard_3-2-0_110072_2021-10-14_final
2021-10-21 11:24:07	ga_ls8c_ard_3-2-0_111068_2021-10-21_final
2021-10-26 10:07:46	ga_ls8c_ard_3-2-0_098078_2021-10-26_final
2021-10-27 10:47:26	ga_ls8c_ard_3-2-0_105069_2021-10-27_final
2021-11-08 09:34:26	ga_ls8c_ard_3-2-0_093072_2021-11-08_final
2021-11-12 10:49:22	ga_ls8c_ard_3-2-0_105074_2021-11-12_final
2022-01-04 09:33:18	ga_ls8c_ard_3-2-1_092085_2022-01-04_final
2022-01-25 11:26:15	ga_ls8c_ard_3-2-1_111074_2022-01-25_final
2022-02-12 09:34:08	ga_ls8c_ard_3-2-1_093072_2022-02-12_final
2022-02-17 09:51:51	ga_ls8c_ard_3-2-1_096070_2022-02-17_final
2022-03-04 09:13:43	ga_ls8c_ard_3-2-1_089083_2022-03-03_final
2022-03-10 10:09:06	ga_ls8c_ard_3-2-1_099067_2022-03-10_final
2022-03-12 11:38:25	ga_ls8c_ard_3-2-1_113074_2022-03-12_final
2022-03-16 11:11:39	ga_ls8c_ard_3-2-1_109069_2022-03-16_final
2022-03-21 11:36:07	ga_ls8c_ard_3-2-1_112084_2022-03-21_final
2022-04-05 09:11:05	ga_ls8c_ard_3-2-1_089077_2022-04-04_final
2022-05-05 09:28:18	ga_ls8c_ard_3-2-1_091089_2022-05-04_final
2022-05-28 11:05:52	ga_ls8c_ard_3-2-1_108070_2022-05-28_final
2022-08-06 10:29:44	ga_ls8c_ard_3-2-1_102071_2022-08-06_final
2022-08-07 09:34:55	ga_ls8c_ard_3-2-1_093073_2022-08-07_final
2022-09-28 10:50:27	ga_ls8c_ard_3-2-1_105076_2022-09-28_final
2022-10-01 09:45:39	ga_ls8c_ard_3-2-1_094084_2022-10-01_final
2022-10-29 10:10:22	ga_ls8c_ard_3-2-1_098084_2022-10-29_final
2022-11-06 09:18:32	ga_ls8c_ard_3-2-1_090078_2022-11-05_final
2022-11-06 10:53:49	ga_ls8c_ard_3-2-1_106069_2022-11-06_final
2022-11-07 10:00:12	ga_ls8c_ard_3-2-1_097074_2022-11-07_final
2022-11-26 10:29:25	ga_ls8c_ard_3-2-1_102070_2022-11-26_final
2022-12-02 09:52:45	ga_ls8c_ard_3-2-1_096071_2022-12-02_final
2022-12-07 10:09:17	ga_ls8c_ard_3-2-1_099066_2022-12-07_final
2022-12-11 09:47:20	ga_ls8c_ard_3-2-1_095073_2022-12-11_final
2022-12-17 10:49:52	ga_ls8c_ard_3-2-1_105075_2022-12-17_final
2022-12-21 10:27:52	ga_ls8c_ard_3-2-1_101082_2022-12-21_final
2022-12-29 09:39:38	ga_ls8c_ard_3-2-1_093085_2022-12-29_final
2023-02-22 11:20:26	ga_ls8c_ard_3-2-1_110075_2023-02-22_final
2023-05-01 09:16:10	ga_ls8c_ard_3-2-1_090075_2023-04-30_final
2023-05-11 09:51:06	ga_ls8c_ard_3-2-1_096070_2023-05-11_final
2023-05-16 10:14:47	ga_ls8c_ard_3-2-1_099083_2023-05-16_final
2023-05-17 09:21:09	ga_ls8c_ard_3-2-1_090088_2023-05-16_final
2023-06-01 11:50:31	ga_ls8c_ard_3-2-1_115075_2023-06-01_final
2023-06-02 09:21:12	ga_ls8c_ard_3-2-1_090088_2023-06-01_final
2023-06-23 11:14:24	ga_ls8c_ard_3-2-1_109077_2023-06-23_final
2023-07-03 10:15:33	ga_ls8c_ard_3-2-1_099084_2023-07-03_final
2023-07-03 11:51:14	ga_ls8c_ard_3-2-1_115076_2023-07-03_final
2023-07-04 10:52:26	ga_ls8c_ard_3-2-1_106068_2023-07-04_final
2023-07-21 11:37:21	ga_ls8c_ard_3-2-1_113072_2023-07-21_final
2023-08-06 09:57:02	ga_ls8c_ard_3-2-1_097068_2023-08-06_final
2023-08-13 10:03:14	ga_ls8c_ard_3-2-1_098068_2023-08-13_final
2023-08-18 10:25:02	ga_ls8c_ard_3-2-1_101076_2023-08-18_final
2023-08-30 09:13:19	ga_ls8c_ard_3-2-1_089082_2023-08-29_final
2023-09-29 10:59:53	ga_ls8c_ard_3-2-1_107070_2023-09-29_final
2023-10-16 10:09:30	ga_ls8c_ard_3-2-1_098083_2023-10-16_final
2023-11-18 10:52:25	ga_ls8c_ard_3-2-1_105082_2023-11-18_final
2023-11-26 09:57:01	ga_ls8c_ard_3-2-1_097067_2023-11-26_final
2023-11-29 10:30:17	ga_ls8c_ard_3-2-1_102073_2023-11-29_final
2023-12-02 09:23:28	ga_ls8c_ard_3-2-1_091076_2023-12-01_final
2023-12-04 09:13:04	ga_ls8c_ard_3-2-1_089081_2023-12-03_final
2023-12-16 09:39:26	ga_ls8c_ard_3-2-1_093085_2023-12-16_final
2024-01-03 09:23:23	ga_ls8c_ard_3-2-1_091076_2024-01-02_final
2024-01-17 09:35:22	ga_ls8c_ard_3-2-1_093075_2024-01-17_final
2024-01-19 09:22:35	ga_ls8c_ard_3-2-1_091074_2024-01-18_final
2024-01-19 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-18_final
2024-01-31 09:46:03	ga_ls8c_ard_3-2-1_095071_2024-01-31_final
2024-02-04 11:04:15	ga_ls8c_ard_3-2-1_107081_2024-02-04_final
2024-03-07 09:23:08	ga_ls8c_ard_3-2-1_091076_2024-03-06_final
2024-03-22 10:17:50	ga_ls8c_ard_3-2-1_100074_2024-03-22_final
2024-03-25 10:45:52	ga_ls8c_ard_3-2-1_105067_2024-03-25_final
2024-03-25 10:47:52	ga_ls8c_ard_3-2-1_105072_2024-03-25_final
2024-03-29 10:23:05	ga_ls8c_ard_3-2-1_101072_2024-03-29_final
2024-03-30 11:07:33	ga_ls8c_ard_3-2-1_108075_2024-03-30_final
2024-04-02 09:56:47	ga_ls8c_ard_3-2-1_097068_2024-04-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years