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
2015-05-16 09:32:39	ga_ls8c_ard_3-0-0_093071_2015-05-16_final
2015-05-18 09:21:54	ga_ls8c_ard_3-0-0_091075_2015-05-17_final
2015-05-18 09:22:18	ga_ls8c_ard_3-0-0_091076_2015-05-17_final
2015-05-18 09:22:42	ga_ls8c_ard_3-0-0_091077_2015-05-17_final
2015-05-18 09:23:06	ga_ls8c_ard_3-0-0_091078_2015-05-17_final
2015-05-18 09:23:30	ga_ls8c_ard_3-0-0_091079_2015-05-17_final
2015-05-18 09:23:54	ga_ls8c_ard_3-0-0_091080_2015-05-17_final
2015-05-18 09:24:18	ga_ls8c_ard_3-0-0_091081_2015-05-17_final
2015-06-12 09:17:33	ga_ls8c_ard_3-0-0_090079_2015-06-11_final
2015-06-12 09:17:57	ga_ls8c_ard_3-0-0_090080_2015-06-11_final
2015-06-12 09:18:21	ga_ls8c_ard_3-0-0_090081_2015-06-11_final
2015-06-12 09:18:45	ga_ls8c_ard_3-0-0_090082_2015-06-11_final
2015-06-12 09:19:09	ga_ls8c_ard_3-0-0_090083_2015-06-11_final
2015-06-12 09:19:33	ga_ls8c_ard_3-0-0_090084_2015-06-11_final
2015-06-12 09:19:57	ga_ls8c_ard_3-0-0_090085_2015-06-11_final
2015-06-17 09:31:21	ga_ls8c_ard_3-0-0_093067_2015-06-17_final
2015-06-17 09:31:45	ga_ls8c_ard_3-0-0_093068_2015-06-17_final
2020-06-18 09:13:23	ga_ls8c_ard_3-1-0_089083_2020-06-17_final
2020-06-18 09:13:47	ga_ls8c_ard_3-1-0_089084_2020-06-17_final
2020-06-18 09:14:11	ga_ls8c_ard_3-1-0_089085_2020-06-17_final
2020-06-18 09:14:35	ga_ls8c_ard_3-1-0_089086_2020-06-17_final
2020-06-18 09:14:59	ga_ls8c_ard_3-1-0_089087_2020-06-17_final
2020-06-18 09:15:23	ga_ls8c_ard_3-1-0_089088_2020-06-17_final
2020-07-04 09:13:31	ga_ls8c_ard_3-1-0_089083_2020-07-03_final
2020-07-04 09:13:55	ga_ls8c_ard_3-1-0_089084_2020-07-03_final
2020-07-04 09:14:19	ga_ls8c_ard_3-1-0_089085_2020-07-03_final
2020-07-04 09:14:43	ga_ls8c_ard_3-1-0_089086_2020-07-03_final
2020-07-04 09:15:07	ga_ls8c_ard_3-1-0_089087_2020-07-03_final
2020-07-04 09:15:31	ga_ls8c_ard_3-1-0_089088_2020-07-03_final
2020-07-25 09:27:23	ga_ls8c_ard_3-1-0_092071_2020-07-24_final
2020-07-25 09:27:47	ga_ls8c_ard_3-1-0_092072_2020-07-24_final
2020-07-25 09:28:11	ga_ls8c_ard_3-1-0_092073_2020-07-24_final
2020-07-25 09:28:35	ga_ls8c_ard_3-1-0_092074_2020-07-24_final
2020-07-25 09:28:59	ga_ls8c_ard_3-1-0_092075_2020-07-24_final
2020-07-25 09:29:23	ga_ls8c_ard_3-1-0_092076_2020-07-24_final
2020-08-10 09:28:14	ga_ls8c_ard_3-1-0_092073_2020-08-09_final
2020-08-10 09:29:26	ga_ls8c_ard_3-1-0_092076_2020-08-09_final
2020-08-21 09:13:47	ga_ls8c_ard_3-1-0_089083_2020-08-20_final
2020-08-21 09:14:11	ga_ls8c_ard_3-1-0_089084_2020-08-20_final
2020-08-21 09:14:34	ga_ls8c_ard_3-1-0_089085_2020-08-20_final
2020-08-21 09:14:58	ga_ls8c_ard_3-1-0_089086_2020-08-20_final
2020-08-21 09:15:22	ga_ls8c_ard_3-1-0_089087_2020-08-20_final
2020-08-21 09:15:46	ga_ls8c_ard_3-1-0_089088_2020-08-20_final
2020-08-21 09:16:10	ga_ls8c_ard_3-1-0_089089_2020-08-20_final
2020-08-26 09:27:34	ga_ls8c_ard_3-1-0_092071_2020-08-25_final
2020-08-26 09:27:58	ga_ls8c_ard_3-1-0_092072_2020-08-25_final
2020-08-26 09:28:22	ga_ls8c_ard_3-1-0_092073_2020-08-25_final
2020-08-26 09:28:46	ga_ls8c_ard_3-1-0_092074_2020-08-25_final
2020-08-26 09:29:10	ga_ls8c_ard_3-1-0_092075_2020-08-25_final
2020-08-26 09:29:34	ga_ls8c_ard_3-1-0_092076_2020-08-25_final
2020-09-06 09:13:54	ga_ls8c_ard_3-1-0_089083_2020-09-05_final
2020-09-06 09:14:18	ga_ls8c_ard_3-1-0_089084_2020-09-05_final
2020-09-06 09:14:42	ga_ls8c_ard_3-1-0_089085_2020-09-05_final
2020-09-06 09:15:06	ga_ls8c_ard_3-1-0_089086_2020-09-05_final
2020-09-06 09:15:30	ga_ls8c_ard_3-1-0_089087_2020-09-05_final
2020-09-06 09:15:54	ga_ls8c_ard_3-1-0_089088_2020-09-05_final
2020-09-06 09:16:18	ga_ls8c_ard_3-1-0_089089_2020-09-05_final
2020-10-08 09:14:02	ga_ls8c_ard_3-1-0_089083_2020-10-07_final
2020-10-08 09:14:26	ga_ls8c_ard_3-1-0_089084_2020-10-07_final
2020-10-08 09:14:50	ga_ls8c_ard_3-1-0_089085_2020-10-07_final
2020-10-08 09:15:14	ga_ls8c_ard_3-1-0_089086_2020-10-07_final
2020-10-08 09:15:38	ga_ls8c_ard_3-1-0_089087_2020-10-07_final
2020-10-08 09:16:02	ga_ls8c_ard_3-1-0_089088_2020-10-07_final
2020-11-30 09:27:49	ga_ls8c_ard_3-1-0_092071_2020-11-29_final
2020-11-30 09:28:13	ga_ls8c_ard_3-1-0_092072_2020-11-29_final
2020-11-30 09:28:36	ga_ls8c_ard_3-1-0_092073_2020-11-29_final
2020-11-30 09:29:00	ga_ls8c_ard_3-1-0_092074_2020-11-29_final
2020-11-30 09:29:24	ga_ls8c_ard_3-1-0_092075_2020-11-29_final
2020-11-30 09:29:48	ga_ls8c_ard_3-1-0_092076_2020-11-29_final
2020-12-02 09:18:39	ga_ls8c_ard_3-1-0_090079_2020-12-01_final
2020-12-02 09:19:03	ga_ls8c_ard_3-1-0_090080_2020-12-01_final
2020-12-02 09:19:27	ga_ls8c_ard_3-1-0_090081_2020-12-01_final
2020-12-02 09:19:51	ga_ls8c_ard_3-1-0_090082_2020-12-01_final
2020-12-02 09:20:15	ga_ls8c_ard_3-1-0_090083_2020-12-01_final
2020-12-02 09:20:38	ga_ls8c_ard_3-1-0_090084_2020-12-01_final
2020-12-02 09:21:02	ga_ls8c_ard_3-1-0_090085_2020-12-01_final
2022-10-14 09:14:12	ga_ls8c_ard_3-2-1_089083_2022-10-13_final
2022-10-14 09:14:36	ga_ls8c_ard_3-2-1_089084_2022-10-13_final
2022-10-14 09:15:00	ga_ls8c_ard_3-2-1_089085_2022-10-13_final
2022-10-14 09:15:24	ga_ls8c_ard_3-2-1_089086_2022-10-13_final
2022-10-14 09:16:12	ga_ls8c_ard_3-2-1_089088_2022-10-13_final
2022-10-14 09:16:36	ga_ls8c_ard_3-2-1_089089_2022-10-13_final
2022-10-21 09:18:53	ga_ls8c_ard_3-2-1_090079_2022-10-20_final
2022-10-21 09:19:16	ga_ls8c_ard_3-2-1_090080_2022-10-20_final
2022-10-21 09:19:40	ga_ls8c_ard_3-2-1_090081_2022-10-20_final
2022-10-21 09:20:04	ga_ls8c_ard_3-2-1_090082_2022-10-20_final
2022-10-21 09:20:28	ga_ls8c_ard_3-2-1_090083_2022-10-20_final
2022-10-21 09:20:52	ga_ls8c_ard_3-2-1_090084_2022-10-20_final
2022-10-21 09:21:16	ga_ls8c_ard_3-2-1_090085_2022-10-20_final
2022-10-28 09:23:31	ga_ls8c_ard_3-2-1_091075_2022-10-27_final
2022-10-28 09:23:55	ga_ls8c_ard_3-2-1_091076_2022-10-27_final
2022-10-28 09:24:19	ga_ls8c_ard_3-2-1_091077_2022-10-27_final
2022-10-28 09:24:43	ga_ls8c_ard_3-2-1_091078_2022-10-27_final
2022-10-28 09:25:06	ga_ls8c_ard_3-2-1_091079_2022-10-27_final
2022-10-28 09:25:30	ga_ls8c_ard_3-2-1_091080_2022-10-27_final
2022-10-28 09:25:54	ga_ls8c_ard_3-2-1_091081_2022-10-27_final
2022-10-30 09:14:21	ga_ls8c_ard_3-2-1_089083_2022-10-29_final
2022-10-30 09:14:45	ga_ls8c_ard_3-2-1_089084_2022-10-29_final
2022-10-30 09:15:09	ga_ls8c_ard_3-2-1_089085_2022-10-29_final
2022-10-30 09:15:33	ga_ls8c_ard_3-2-1_089086_2022-10-29_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