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
2015-07-03 09:33:04	ga_ls8c_ard_3-0-0_093071_2015-07-03_final
2015-07-03 09:33:27	ga_ls8c_ard_3-0-0_093072_2015-07-03_final
2015-07-05 09:22:43	ga_ls8c_ard_3-0-0_091076_2015-07-04_final
2015-07-05 09:23:07	ga_ls8c_ard_3-0-0_091077_2015-07-04_final
2015-07-05 09:23:31	ga_ls8c_ard_3-0-0_091078_2015-07-04_final
2015-07-05 09:23:55	ga_ls8c_ard_3-0-0_091079_2015-07-04_final
2015-07-05 09:24:19	ga_ls8c_ard_3-0-0_091080_2015-07-04_final
2015-07-05 09:24:43	ga_ls8c_ard_3-0-0_091081_2015-07-04_final
2015-08-06 09:22:54	ga_ls8c_ard_3-0-0_091076_2015-08-05_final
2015-08-06 09:23:18	ga_ls8c_ard_3-0-0_091077_2015-08-05_final
2015-08-06 09:23:42	ga_ls8c_ard_3-0-0_091078_2015-08-05_final
2015-08-06 09:24:06	ga_ls8c_ard_3-0-0_091079_2015-08-05_final
2015-08-06 09:24:30	ga_ls8c_ard_3-0-0_091080_2015-08-05_final
2015-08-06 09:24:54	ga_ls8c_ard_3-0-0_091081_2015-08-05_final
2015-09-21 09:33:37	ga_ls8c_ard_3-0-0_093071_2015-09-21_final
2015-09-21 09:34:01	ga_ls8c_ard_3-0-0_093072_2015-09-21_final
2015-09-23 09:23:16	ga_ls8c_ard_3-0-0_091076_2015-09-22_final
2015-09-23 09:23:40	ga_ls8c_ard_3-0-0_091077_2015-09-22_final
2015-09-23 09:24:04	ga_ls8c_ard_3-0-0_091078_2015-09-22_final
2015-09-23 09:24:28	ga_ls8c_ard_3-0-0_091079_2015-09-22_final
2015-09-23 09:24:52	ga_ls8c_ard_3-0-0_091080_2015-09-22_final
2015-09-23 09:25:15	ga_ls8c_ard_3-0-0_091081_2015-09-22_final
2015-11-24 09:33:48	ga_ls8c_ard_3-0-0_093071_2015-11-24_final
2015-11-24 09:34:12	ga_ls8c_ard_3-0-0_093072_2015-11-24_final
2015-11-26 09:23:26	ga_ls8c_ard_3-0-0_091076_2015-11-25_final
2015-11-26 09:23:50	ga_ls8c_ard_3-0-0_091077_2015-11-25_final
2015-11-26 09:24:14	ga_ls8c_ard_3-0-0_091078_2015-11-25_final
2015-11-26 09:24:38	ga_ls8c_ard_3-0-0_091079_2015-11-25_final
2015-11-26 09:25:02	ga_ls8c_ard_3-0-0_091080_2015-11-25_final
2015-11-26 09:25:26	ga_ls8c_ard_3-0-0_091081_2015-11-25_final
2018-05-19 09:17:40	ga_ls8c_ard_3-0-0_090080_2018-05-18_final
2018-05-19 09:18:04	ga_ls8c_ard_3-0-0_090081_2018-05-18_final
2018-05-19 09:18:28	ga_ls8c_ard_3-0-0_090082_2018-05-18_final
2018-05-19 09:18:51	ga_ls8c_ard_3-0-0_090083_2018-05-18_final
2018-05-19 09:19:15	ga_ls8c_ard_3-0-0_090084_2018-05-18_final
2018-05-19 09:19:39	ga_ls8c_ard_3-0-0_090085_2018-05-18_final
2018-05-24 09:30:57	ga_ls8c_ard_3-0-0_093067_2018-05-24_final
2018-05-24 09:31:21	ga_ls8c_ard_3-0-0_093068_2018-05-24_final
2019-12-16 09:18:59	ga_ls8c_ard_3-2-0_090080_2019-12-15_final
2019-12-16 09:19:23	ga_ls8c_ard_3-2-0_090081_2019-12-15_final
2019-12-16 09:19:47	ga_ls8c_ard_3-2-0_090082_2019-12-15_final
2019-12-16 09:20:11	ga_ls8c_ard_3-2-0_090083_2019-12-15_final
2019-12-16 09:20:35	ga_ls8c_ard_3-2-0_090084_2019-12-15_final
2019-12-16 09:20:59	ga_ls8c_ard_3-2-0_090085_2019-12-15_final
2020-01-15 09:27:38	ga_ls8c_ard_3-1-0_092071_2020-01-14_final
2020-01-15 09:28:02	ga_ls8c_ard_3-1-0_092072_2020-01-14_final
2020-01-15 09:28:26	ga_ls8c_ard_3-1-0_092073_2020-01-14_final
2020-01-15 09:28:50	ga_ls8c_ard_3-1-0_092074_2020-01-14_final
2020-01-15 09:29:14	ga_ls8c_ard_3-1-0_092075_2020-01-14_final
2020-01-15 09:29:38	ga_ls8c_ard_3-1-0_092076_2020-01-14_final
2020-01-15 09:30:02	ga_ls8c_ard_3-1-0_092077_2020-01-15_final
2020-01-26 09:14:14	ga_ls8c_ard_3-1-0_089084_2020-01-25_final
2020-01-26 09:14:38	ga_ls8c_ard_3-1-0_089085_2020-01-25_final
2020-01-26 09:15:02	ga_ls8c_ard_3-1-0_089086_2020-01-25_final
2020-01-26 09:15:26	ga_ls8c_ard_3-1-0_089087_2020-01-25_final
2020-01-26 09:15:50	ga_ls8c_ard_3-1-0_089088_2020-01-25_final
2020-01-26 09:16:14	ga_ls8c_ard_3-1-0_089089_2020-01-25_final
2020-03-21 09:18:30	ga_ls8c_ard_3-1-0_090080_2020-03-20_final
2020-03-21 09:18:54	ga_ls8c_ard_3-1-0_090081_2020-03-20_final
2020-03-21 09:19:18	ga_ls8c_ard_3-1-0_090082_2020-03-20_final
2020-03-21 09:19:42	ga_ls8c_ard_3-1-0_090083_2020-03-20_final
2020-03-21 09:20:06	ga_ls8c_ard_3-1-0_090084_2020-03-20_final
2020-03-21 09:20:30	ga_ls8c_ard_3-1-0_090085_2020-03-20_final
2020-03-30 09:13:50	ga_ls8c_ard_3-1-0_089084_2020-03-29_final
2020-03-30 09:14:14	ga_ls8c_ard_3-1-0_089085_2020-03-29_final
2020-03-30 09:14:38	ga_ls8c_ard_3-1-0_089086_2020-03-29_final
2020-03-30 09:15:02	ga_ls8c_ard_3-1-0_089087_2020-03-29_final
2020-03-30 09:15:25	ga_ls8c_ard_3-1-0_089088_2020-03-29_final
2020-03-30 09:15:49	ga_ls8c_ard_3-1-0_089089_2020-03-29_final
2021-02-02 09:27:35	ga_ls8c_ard_3-2-0_092071_2021-02-01_final
2021-02-02 09:27:59	ga_ls8c_ard_3-2-0_092072_2021-02-01_final
2021-02-02 09:28:23	ga_ls8c_ard_3-2-0_092073_2021-02-01_final
2021-02-02 09:28:47	ga_ls8c_ard_3-2-0_092074_2021-02-01_final
2021-02-02 09:29:11	ga_ls8c_ard_3-2-0_092075_2021-02-01_final
2021-02-02 09:29:35	ga_ls8c_ard_3-2-0_092076_2021-02-01_final
2021-02-02 09:29:59	ga_ls8c_ard_3-2-0_092077_2021-02-01_final
2021-02-20 09:19:09	ga_ls8c_ard_3-2-0_090081_2021-02-19_final
2021-03-04 09:38:11	ga_ls8c_ard_3-2-0_094067_2021-03-04_final
2021-03-06 09:27:24	ga_ls8c_ard_3-2-0_092071_2021-03-05_final
2021-03-06 09:27:48	ga_ls8c_ard_3-2-0_092072_2021-03-05_final
2021-03-06 09:28:12	ga_ls8c_ard_3-2-0_092073_2021-03-05_final
2021-03-06 09:28:36	ga_ls8c_ard_3-2-0_092074_2021-03-05_final
2021-03-06 09:29:00	ga_ls8c_ard_3-2-0_092075_2021-03-05_final
2021-03-06 09:29:24	ga_ls8c_ard_3-2-0_092076_2021-03-05_final
2021-03-06 09:29:48	ga_ls8c_ard_3-2-0_092077_2021-03-05_final
2021-03-08 09:18:37	ga_ls8c_ard_3-2-0_090080_2021-03-07_final
2021-03-08 09:19:01	ga_ls8c_ard_3-2-0_090081_2021-03-07_final
2021-03-08 09:19:25	ga_ls8c_ard_3-2-0_090082_2021-03-07_final
2021-03-08 09:19:49	ga_ls8c_ard_3-2-0_090083_2021-03-07_final
2021-03-08 09:20:13	ga_ls8c_ard_3-2-0_090084_2021-03-07_final
2021-03-08 09:20:37	ga_ls8c_ard_3-2-0_090085_2021-03-07_final
2021-03-13 09:31:55	ga_ls8c_ard_3-2-0_093067_2021-03-13_final
2021-03-13 09:32:19	ga_ls8c_ard_3-2-0_093068_2021-03-13_final
2021-03-13 09:33:31	ga_ls8c_ard_3-2-0_093071_2021-03-13_final
2021-03-13 09:33:55	ga_ls8c_ard_3-2-0_093072_2021-03-13_final
2021-03-15 09:23:08	ga_ls8c_ard_3-2-0_091076_2021-03-14_final
2021-03-15 09:23:32	ga_ls8c_ard_3-2-0_091077_2021-03-14_final
2021-03-15 09:23:56	ga_ls8c_ard_3-2-0_091078_2021-03-14_final
2021-03-15 09:24:20	ga_ls8c_ard_3-2-0_091079_2021-03-14_final
2021-03-15 09:24:44	ga_ls8c_ard_3-2-0_091080_2021-03-14_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