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
2013-08-02 09:14:31	ga_ls8c_ard_3-0-0_089080_2013-08-01_final
2013-08-02 09:14:55	ga_ls8c_ard_3-0-0_089081_2013-08-01_final
2013-08-02 09:15:19	ga_ls8c_ard_3-0-0_089082_2013-08-01_final
2013-08-02 09:15:43	ga_ls8c_ard_3-0-0_089083_2013-08-01_final
2013-08-02 09:16:07	ga_ls8c_ard_3-0-0_089084_2013-08-01_final
2013-08-02 09:16:31	ga_ls8c_ard_3-0-0_089085_2013-08-01_final
2013-08-18 09:14:32	ga_ls8c_ard_3-0-0_089080_2013-08-17_final
2013-08-18 09:14:56	ga_ls8c_ard_3-0-0_089081_2013-08-17_final
2013-08-18 09:15:20	ga_ls8c_ard_3-0-0_089082_2013-08-17_final
2013-08-18 09:15:44	ga_ls8c_ard_3-0-0_089083_2013-08-17_final
2013-08-18 09:16:08	ga_ls8c_ard_3-0-0_089084_2013-08-17_final
2013-08-18 09:16:32	ga_ls8c_ard_3-0-0_089085_2013-08-17_final
2018-03-09 09:12:09	ga_ls8c_ard_3-0-0_089080_2018-03-08_final
2018-03-09 09:12:33	ga_ls8c_ard_3-0-0_089081_2018-03-08_final
2018-03-09 09:12:56	ga_ls8c_ard_3-0-0_089082_2018-03-08_final
2018-03-09 09:13:20	ga_ls8c_ard_3-0-0_089083_2018-03-08_final
2018-03-09 09:13:44	ga_ls8c_ard_3-0-0_089084_2018-03-08_final
2018-03-09 09:14:08	ga_ls8c_ard_3-0-0_089085_2018-03-08_final
2018-04-19 09:07:12	ga_ls8c_ard_3-0-0_088084_2018-04-18_final
2018-04-22 09:31:18	ga_ls8c_ard_3-0-0_093067_2018-04-22_final
2018-06-02 09:24:39	ga_ls8c_ard_3-0-0_092067_2018-06-01_final
2018-06-02 09:25:03	ga_ls8c_ard_3-0-0_092068_2018-06-01_final
2018-06-02 09:26:15	ga_ls8c_ard_3-0-0_092071_2018-06-01_final
2018-06-02 09:26:39	ga_ls8c_ard_3-0-0_092072_2018-06-01_final
2018-06-04 09:15:53	ga_ls8c_ard_3-0-0_090076_2018-06-03_final
2018-06-04 09:16:17	ga_ls8c_ard_3-0-0_090077_2018-06-03_final
2018-06-04 09:16:41	ga_ls8c_ard_3-0-0_090078_2018-06-03_final
2018-06-04 09:17:04	ga_ls8c_ard_3-0-0_090079_2018-06-03_final
2018-06-04 09:17:28	ga_ls8c_ard_3-0-0_090080_2018-06-03_final
2018-06-04 09:17:52	ga_ls8c_ard_3-0-0_090081_2018-06-03_final
2018-06-06 09:06:42	ga_ls8c_ard_3-0-0_088084_2018-06-05_final
2018-06-09 09:30:52	ga_ls8c_ard_3-0-0_093067_2018-06-09_final
2018-06-13 09:11:23	ga_ls8c_ard_3-0-0_089080_2018-06-12_final
2018-06-13 09:11:47	ga_ls8c_ard_3-0-0_089081_2018-06-12_final
2018-06-13 09:12:11	ga_ls8c_ard_3-0-0_089082_2018-06-12_final
2018-06-13 09:12:35	ga_ls8c_ard_3-0-0_089083_2018-06-12_final
2018-06-13 09:12:59	ga_ls8c_ard_3-0-0_089084_2018-06-12_final
2018-06-13 09:13:23	ga_ls8c_ard_3-0-0_089085_2018-06-12_final
2018-06-18 09:24:47	ga_ls8c_ard_3-0-0_092067_2018-06-17_final
2018-06-18 09:25:11	ga_ls8c_ard_3-0-0_092068_2018-06-17_final
2018-06-18 09:26:23	ga_ls8c_ard_3-0-0_092071_2018-06-17_final
2018-06-18 09:26:47	ga_ls8c_ard_3-0-0_092072_2018-06-17_final
2018-06-29 09:11:33	ga_ls8c_ard_3-0-0_089080_2018-06-28_final
2018-06-29 09:11:57	ga_ls8c_ard_3-0-0_089081_2018-06-28_final
2018-06-29 09:12:21	ga_ls8c_ard_3-0-0_089082_2018-06-28_final
2018-06-29 09:12:45	ga_ls8c_ard_3-0-0_089083_2018-06-28_final
2018-06-29 09:13:09	ga_ls8c_ard_3-0-0_089084_2018-06-28_final
2018-06-29 09:13:33	ga_ls8c_ard_3-0-0_089085_2018-06-28_final
2020-08-05 09:12:28	ga_ls8c_ard_3-1-0_089080_2020-08-04_final
2020-08-05 09:12:52	ga_ls8c_ard_3-1-0_089081_2020-08-04_final
2020-08-05 09:13:16	ga_ls8c_ard_3-1-0_089082_2020-08-04_final
2020-08-05 09:13:40	ga_ls8c_ard_3-1-0_089083_2020-08-04_final
2020-08-05 09:14:04	ga_ls8c_ard_3-1-0_089084_2020-08-04_final
2020-08-05 09:14:28	ga_ls8c_ard_3-1-0_089085_2020-08-04_final
2020-09-02 09:32:13	ga_ls8c_ard_3-1-0_093067_2020-09-02_final
2022-03-04 09:12:31	ga_ls8c_ard_3-2-1_089080_2022-03-03_final
2022-03-04 09:12:55	ga_ls8c_ard_3-2-1_089081_2022-03-03_final
2022-03-04 09:13:43	ga_ls8c_ard_3-2-1_089083_2022-03-03_final
2022-03-04 09:14:31	ga_ls8c_ard_3-2-1_089085_2022-03-03_final
2022-03-09 09:27:27	ga_ls8c_ard_3-2-1_092071_2022-03-08_final
2022-03-09 09:27:51	ga_ls8c_ard_3-2-1_092072_2022-03-08_final
2022-03-20 09:12:24	ga_ls8c_ard_3-2-1_089080_2022-03-19_final
2022-03-20 09:12:48	ga_ls8c_ard_3-2-1_089081_2022-03-19_final
2022-03-20 09:13:11	ga_ls8c_ard_3-2-1_089082_2022-03-19_final
2022-03-20 09:13:35	ga_ls8c_ard_3-2-1_089083_2022-03-19_final
2022-03-20 09:13:59	ga_ls8c_ard_3-2-1_089084_2022-03-19_final
2022-03-20 09:14:23	ga_ls8c_ard_3-2-1_089085_2022-03-19_final
2022-03-25 09:27:16	ga_ls8c_ard_3-2-1_092071_2022-03-24_final
2022-03-25 09:27:40	ga_ls8c_ard_3-2-1_092072_2022-03-24_final
2022-05-07 09:12:22	ga_ls8c_ard_3-2-1_089080_2022-05-06_final
2022-05-07 09:12:46	ga_ls8c_ard_3-2-1_089081_2022-05-06_final
2022-05-07 09:13:10	ga_ls8c_ard_3-2-1_089082_2022-05-06_final
2022-05-07 09:13:34	ga_ls8c_ard_3-2-1_089083_2022-05-06_final
2022-05-07 09:13:58	ga_ls8c_ard_3-2-1_089084_2022-05-06_final
2022-05-07 09:14:22	ga_ls8c_ard_3-2-1_089085_2022-05-06_final
2023-06-09 09:21:05	ga_ls8c_ard_3-2-1_091072_2023-06-08_final
2023-06-09 09:21:29	ga_ls8c_ard_3-2-1_091073_2023-06-08_final
2023-06-09 09:21:53	ga_ls8c_ard_3-2-1_091074_2023-06-08_final
2023-06-09 09:22:17	ga_ls8c_ard_3-2-1_091075_2023-06-08_final
2023-06-09 09:22:41	ga_ls8c_ard_3-2-1_091076_2023-06-08_final
2023-06-09 09:23:05	ga_ls8c_ard_3-2-1_091077_2023-06-08_final
2023-06-11 09:11:57	ga_ls8c_ard_3-2-1_089080_2023-06-10_final
2023-06-11 09:12:21	ga_ls8c_ard_3-2-1_089081_2023-06-10_final
2023-06-11 09:12:45	ga_ls8c_ard_3-2-1_089082_2023-06-10_final
2023-06-11 09:13:08	ga_ls8c_ard_3-2-1_089083_2023-06-10_final
2023-06-11 09:13:32	ga_ls8c_ard_3-2-1_089084_2023-06-10_final
2023-06-11 09:13:56	ga_ls8c_ard_3-2-1_089085_2023-06-10_final
2023-06-16 09:26:56	ga_ls8c_ard_3-2-1_092071_2023-06-15_final
2023-06-16 09:27:19	ga_ls8c_ard_3-2-1_092072_2023-06-15_final
2023-06-18 09:16:34	ga_ls8c_ard_3-2-1_090076_2023-06-17_final
2023-06-18 09:16:58	ga_ls8c_ard_3-2-1_090077_2023-06-17_final
2023-06-18 09:17:22	ga_ls8c_ard_3-2-1_090078_2023-06-17_final
2023-06-18 09:17:46	ga_ls8c_ard_3-2-1_090079_2023-06-17_final
2023-06-18 09:18:10	ga_ls8c_ard_3-2-1_090080_2023-06-17_final
2023-06-18 09:18:34	ga_ls8c_ard_3-2-1_090081_2023-06-17_final
2023-06-25 09:21:12	ga_ls8c_ard_3-2-1_091072_2023-06-24_final
2023-06-25 09:21:36	ga_ls8c_ard_3-2-1_091073_2023-06-24_final
2023-06-25 09:21:59	ga_ls8c_ard_3-2-1_091074_2023-06-24_final
2023-06-25 09:22:23	ga_ls8c_ard_3-2-1_091075_2023-06-24_final
2023-06-25 09:22:47	ga_ls8c_ard_3-2-1_091076_2023-06-24_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