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
2019-07-21 09:40:35	ga_ls8c_ard_3-1-0_094073_2019-07-21_final
2019-07-21 09:40:59	ga_ls8c_ard_3-1-0_094074_2019-07-21_final
2019-07-21 09:41:23	ga_ls8c_ard_3-1-0_094075_2019-07-21_final
2019-07-21 09:41:47	ga_ls8c_ard_3-1-0_094076_2019-07-21_final
2019-07-21 09:42:11	ga_ls8c_ard_3-1-0_094077_2019-07-21_final
2019-07-21 09:42:35	ga_ls8c_ard_3-1-0_094078_2019-07-21_final
2019-07-21 09:42:59	ga_ls8c_ard_3-1-0_094079_2019-07-21_final
2019-07-23 09:31:50	ga_ls8c_ard_3-1-0_092082_2019-07-23_final
2019-07-23 09:32:14	ga_ls8c_ard_3-1-0_092083_2019-07-23_final
2019-07-23 09:32:38	ga_ls8c_ard_3-1-0_092084_2019-07-23_final
2019-07-23 09:33:02	ga_ls8c_ard_3-1-0_092085_2019-07-23_final
2019-07-23 09:33:26	ga_ls8c_ard_3-1-0_092086_2019-07-23_final
2019-07-23 09:33:50	ga_ls8c_ard_3-1-0_092087_2019-07-23_final
2019-08-06 09:40:42	ga_ls8c_ard_3-1-0_094073_2019-08-06_final
2019-08-06 09:41:06	ga_ls8c_ard_3-1-0_094074_2019-08-06_final
2019-08-06 09:41:30	ga_ls8c_ard_3-1-0_094075_2019-08-06_final
2019-08-06 09:41:54	ga_ls8c_ard_3-1-0_094076_2019-08-06_final
2019-08-06 09:42:18	ga_ls8c_ard_3-1-0_094077_2019-08-06_final
2019-08-06 09:42:42	ga_ls8c_ard_3-1-0_094078_2019-08-06_final
2019-08-06 09:43:06	ga_ls8c_ard_3-1-0_094079_2019-08-06_final
2019-08-08 09:31:57	ga_ls8c_ard_3-1-0_092082_2019-08-08_final
2019-08-08 09:32:21	ga_ls8c_ard_3-1-0_092083_2019-08-08_final
2019-08-08 09:32:45	ga_ls8c_ard_3-1-0_092084_2019-08-08_final
2019-08-08 09:33:09	ga_ls8c_ard_3-1-0_092085_2019-08-08_final
2019-08-08 09:33:33	ga_ls8c_ard_3-1-0_092086_2019-08-08_final
2019-08-08 09:33:57	ga_ls8c_ard_3-1-0_092087_2019-08-08_final
2019-08-10 09:22:24	ga_ls8c_ard_3-1-0_090089_2019-08-09_final
2019-08-10 09:22:48	ga_ls8c_ard_3-1-0_090090_2019-08-09_final
2019-08-10 09:23:12	ga_ls8c_ard_3-1-0_090091_2019-08-09_final
2019-11-30 09:22:36	ga_ls8c_ard_3-1-0_090089_2019-11-29_final
2019-11-30 09:23:00	ga_ls8c_ard_3-1-0_090090_2019-11-29_final
2019-11-30 09:23:24	ga_ls8c_ard_3-1-0_090091_2019-11-29_final
2021-01-06 09:45:51	ga_ls8c_ard_3-2-0_095070_2021-01-06_final
2021-01-06 09:46:15	ga_ls8c_ard_3-2-0_095071_2021-01-06_final
2021-01-06 09:46:39	ga_ls8c_ard_3-2-0_095072_2021-01-06_final
2021-01-06 09:47:03	ga_ls8c_ard_3-2-0_095073_2021-01-06_final
2021-01-06 09:47:27	ga_ls8c_ard_3-2-0_095074_2021-01-06_final
2021-02-20 09:22:20	ga_ls8c_ard_3-2-0_090089_2021-02-19_final
2021-02-20 09:22:44	ga_ls8c_ard_3-2-0_090090_2021-02-19_final
2021-02-20 09:23:08	ga_ls8c_ard_3-2-0_090091_2021-02-19_final
2021-03-06 09:31:48	ga_ls8c_ard_3-2-0_092082_2021-03-06_final
2021-03-06 09:32:12	ga_ls8c_ard_3-2-0_092083_2021-03-06_final
2021-03-06 09:32:36	ga_ls8c_ard_3-2-0_092084_2021-03-06_final
2021-03-06 09:33:00	ga_ls8c_ard_3-2-0_092085_2021-03-06_final
2021-03-06 09:33:24	ga_ls8c_ard_3-2-0_092086_2021-03-06_final
2021-03-06 09:33:47	ga_ls8c_ard_3-2-0_092087_2021-03-06_final
2021-03-08 09:22:13	ga_ls8c_ard_3-2-0_090089_2021-03-07_final
2021-03-08 09:22:37	ga_ls8c_ard_3-2-0_090090_2021-03-07_final
2021-03-08 09:23:01	ga_ls8c_ard_3-2-0_090091_2021-03-07_final
2021-03-11 09:45:30	ga_ls8c_ard_3-2-0_095070_2021-03-11_final
2021-03-11 09:45:54	ga_ls8c_ard_3-2-0_095071_2021-03-11_final
2021-03-11 09:46:18	ga_ls8c_ard_3-2-0_095072_2021-03-11_final
2021-03-11 09:46:42	ga_ls8c_ard_3-2-0_095073_2021-03-11_final
2021-03-11 09:47:06	ga_ls8c_ard_3-2-0_095074_2021-03-11_final
2021-03-15 09:27:07	ga_ls8c_ard_3-2-0_091086_2021-03-14_final
2021-03-15 09:27:31	ga_ls8c_ard_3-2-0_091087_2021-03-14_final
2021-03-15 09:27:55	ga_ls8c_ard_3-2-0_091088_2021-03-14_final
2021-03-15 09:28:19	ga_ls8c_ard_3-2-0_091089_2021-03-14_final
2021-03-15 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-03-14_final
2021-03-15 09:29:07	ga_ls8c_ard_3-2-0_091091_2021-03-14_final
2021-03-18 09:50:25	ga_ls8c_ard_3-2-0_096067_2021-03-18_final
2021-03-18 09:50:48	ga_ls8c_ard_3-2-0_096068_2021-03-18_final
2021-03-18 09:51:12	ga_ls8c_ard_3-2-0_096069_2021-03-18_final
2021-03-18 09:51:36	ga_ls8c_ard_3-2-0_096070_2021-03-18_final
2021-05-18 09:26:29	ga_ls8c_ard_3-2-0_091085_2021-05-17_final
2021-05-18 09:26:53	ga_ls8c_ard_3-2-0_091086_2021-05-17_final
2021-05-18 09:27:17	ga_ls8c_ard_3-2-0_091087_2021-05-17_final
2021-05-18 09:27:41	ga_ls8c_ard_3-2-0_091088_2021-05-17_final
2021-05-18 09:28:05	ga_ls8c_ard_3-2-0_091089_2021-05-17_final
2021-05-18 09:28:29	ga_ls8c_ard_3-2-0_091090_2021-05-17_final
2021-05-18 09:28:53	ga_ls8c_ard_3-2-0_091091_2021-05-17_final
2021-05-27 09:21:59	ga_ls8c_ard_3-2-0_090089_2021-05-26_final
2021-05-27 09:22:23	ga_ls8c_ard_3-2-0_090090_2021-05-26_final
2021-05-27 09:22:47	ga_ls8c_ard_3-2-0_090091_2021-05-26_final
2021-05-30 09:45:20	ga_ls8c_ard_3-2-0_095070_2021-05-30_final
2021-05-30 09:45:44	ga_ls8c_ard_3-2-0_095071_2021-05-30_final
2021-05-30 09:46:08	ga_ls8c_ard_3-2-0_095072_2021-05-30_final
2021-05-30 09:46:32	ga_ls8c_ard_3-2-0_095073_2021-05-30_final
2021-05-30 09:46:56	ga_ls8c_ard_3-2-0_095074_2021-05-30_final
2023-12-11 09:22:26	ga_ls8c_ard_3-2-1_090089_2023-12-10_final
2023-12-11 09:22:50	ga_ls8c_ard_3-2-1_090090_2023-12-10_final
2023-12-11 09:23:14	ga_ls8c_ard_3-2-1_090091_2023-12-10_final
2023-12-14 09:46:11	ga_ls8c_ard_3-2-1_095071_2023-12-14_final
2023-12-14 09:46:35	ga_ls8c_ard_3-2-1_095072_2023-12-14_final
2023-12-14 09:46:59	ga_ls8c_ard_3-2-1_095073_2023-12-14_final
2023-12-14 09:47:23	ga_ls8c_ard_3-2-1_095074_2023-12-14_final
2023-12-16 09:36:38	ga_ls8c_ard_3-2-1_093078_2023-12-16_final
2023-12-16 09:37:02	ga_ls8c_ard_3-2-1_093079_2023-12-16_final
2023-12-16 09:37:26	ga_ls8c_ard_3-2-1_093080_2023-12-16_final
2023-12-16 09:37:50	ga_ls8c_ard_3-2-1_093081_2023-12-16_final
2023-12-16 09:38:14	ga_ls8c_ard_3-2-1_093082_2023-12-16_final
2023-12-16 09:38:38	ga_ls8c_ard_3-2-1_093083_2023-12-16_final
2023-12-25 09:32:04	ga_ls8c_ard_3-2-1_092082_2023-12-25_final
2023-12-25 09:32:28	ga_ls8c_ard_3-2-1_092083_2023-12-25_final
2023-12-25 09:32:52	ga_ls8c_ard_3-2-1_092084_2023-12-25_final
2023-12-25 09:33:16	ga_ls8c_ard_3-2-1_092085_2023-12-25_final
2023-12-25 09:33:40	ga_ls8c_ard_3-2-1_092086_2023-12-25_final
2023-12-25 09:34:03	ga_ls8c_ard_3-2-1_092087_2023-12-25_final
2023-12-27 09:22:29	ga_ls8c_ard_3-2-1_090089_2023-12-26_final
2023-12-27 09:22:53	ga_ls8c_ard_3-2-1_090090_2023-12-26_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