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
2014-02-26 09:17:13	ga_ls8c_ard_3-0-0_089090_2014-02-25_final
2014-02-27 09:51:16	ga_ls8c_ard_3-0-0_096067_2014-02-27_final
2014-03-01 09:42:27	ga_ls8c_ard_3-0-0_094076_2014-03-01_final
2014-03-03 09:31:38	ga_ls8c_ard_3-0-0_092080_2014-03-03_final
2014-03-03 09:32:02	ga_ls8c_ard_3-0-0_092081_2014-03-03_final
2014-03-03 09:32:26	ga_ls8c_ard_3-0-0_092082_2014-03-03_final
2014-03-03 09:32:50	ga_ls8c_ard_3-0-0_092083_2014-03-03_final
2014-03-03 09:33:14	ga_ls8c_ard_3-0-0_092084_2014-03-03_final
2014-03-03 09:33:38	ga_ls8c_ard_3-0-0_092085_2014-03-03_final
2014-04-02 09:40:50	ga_ls8c_ard_3-0-0_094073_2014-04-02_final
2014-04-02 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-04-02_final
2014-04-02 09:41:38	ga_ls8c_ard_3-0-0_094075_2014-04-02_final
2014-04-02 09:42:02	ga_ls8c_ard_3-0-0_094076_2014-04-02_final
2014-04-04 09:31:15	ga_ls8c_ard_3-0-0_092080_2014-04-04_final
2014-04-04 09:31:39	ga_ls8c_ard_3-0-0_092081_2014-04-04_final
2014-04-04 09:32:02	ga_ls8c_ard_3-0-0_092082_2014-04-04_final
2014-04-04 09:32:26	ga_ls8c_ard_3-0-0_092083_2014-04-04_final
2014-04-06 09:21:39	ga_ls8c_ard_3-0-0_090087_2014-04-05_final
2014-04-06 09:22:03	ga_ls8c_ard_3-0-0_090088_2014-04-05_final
2014-04-06 09:22:27	ga_ls8c_ard_3-0-0_090089_2014-04-05_final
2014-04-06 09:22:51	ga_ls8c_ard_3-0-0_090090_2014-04-05_final
2014-04-18 09:40:32	ga_ls8c_ard_3-0-0_094073_2014-04-18_final
2014-04-18 09:40:56	ga_ls8c_ard_3-0-0_094074_2014-04-18_final
2014-04-18 09:41:20	ga_ls8c_ard_3-0-0_094075_2014-04-18_final
2014-04-18 09:41:44	ga_ls8c_ard_3-0-0_094076_2014-04-18_final
2014-04-20 09:30:58	ga_ls8c_ard_3-0-0_092080_2014-04-20_final
2014-04-20 09:31:22	ga_ls8c_ard_3-0-0_092081_2014-04-20_final
2014-04-20 09:31:45	ga_ls8c_ard_3-0-0_092082_2014-04-20_final
2014-04-20 09:32:09	ga_ls8c_ard_3-0-0_092083_2014-04-20_final
2014-04-20 09:32:33	ga_ls8c_ard_3-0-0_092084_2014-04-20_final
2014-04-20 09:32:57	ga_ls8c_ard_3-0-0_092085_2014-04-20_final
2014-04-22 09:21:22	ga_ls8c_ard_3-0-0_090087_2014-04-21_final
2014-04-22 09:21:46	ga_ls8c_ard_3-0-0_090088_2014-04-21_final
2014-04-22 09:22:10	ga_ls8c_ard_3-1-0_090089_2014-04-21_final
2014-04-22 09:22:34	ga_ls8c_ard_3-0-0_090090_2014-04-21_final
2014-05-20 09:39:20	ga_ls8c_ard_3-0-0_094071_2014-05-20_final
2014-05-20 09:39:44	ga_ls8c_ard_3-0-0_094072_2014-05-20_final
2014-05-20 09:40:08	ga_ls8c_ard_3-0-0_094073_2014-05-20_final
2014-05-20 09:40:32	ga_ls8c_ard_3-0-0_094074_2014-05-20_final
2014-05-20 09:40:56	ga_ls8c_ard_3-0-0_094075_2014-05-20_final
2014-05-20 09:41:20	ga_ls8c_ard_3-0-0_094076_2014-05-20_final
2014-05-22 09:30:33	ga_ls8c_ard_3-0-0_092080_2014-05-22_final
2014-05-22 09:30:57	ga_ls8c_ard_3-0-0_092081_2014-05-22_final
2014-05-22 09:31:21	ga_ls8c_ard_3-0-0_092082_2014-05-22_final
2014-05-22 09:31:45	ga_ls8c_ard_3-0-0_092083_2014-05-22_final
2014-05-22 09:32:09	ga_ls8c_ard_3-0-0_092084_2014-05-22_final
2014-05-22 09:32:33	ga_ls8c_ard_3-0-0_092085_2014-05-22_final
2014-05-27 09:45:09	ga_ls8c_ard_3-0-0_095070_2014-05-27_final
2014-05-27 09:45:33	ga_ls8c_ard_3-0-0_095071_2014-05-27_final
2014-05-27 09:45:57	ga_ls8c_ard_3-0-0_095072_2014-05-27_final
2014-05-29 09:34:48	ga_ls8c_ard_3-0-0_093075_2014-05-29_final
2014-05-29 09:35:12	ga_ls8c_ard_3-0-0_093076_2014-05-29_final
2014-05-29 09:35:36	ga_ls8c_ard_3-0-0_093077_2014-05-29_final
2014-05-29 09:36:00	ga_ls8c_ard_3-0-0_093078_2014-05-29_final
2014-05-29 09:36:24	ga_ls8c_ard_3-0-0_093079_2014-05-29_final
2014-05-29 09:36:48	ga_ls8c_ard_3-0-0_093080_2014-05-29_final
2014-05-29 09:37:12	ga_ls8c_ard_3-0-0_093081_2014-05-29_final
2014-05-31 09:25:40	ga_ls8c_ard_3-0-0_091083_2014-05-30_final
2014-05-31 09:26:04	ga_ls8c_ard_3-0-0_091084_2014-05-30_final
2014-05-31 09:26:28	ga_ls8c_ard_3-0-0_091085_2014-05-30_final
2014-05-31 09:26:52	ga_ls8c_ard_3-0-0_091086_2014-05-30_final
2014-05-31 09:27:16	ga_ls8c_ard_3-0-0_091087_2014-05-30_final
2014-05-31 09:27:40	ga_ls8c_ard_3-0-0_091088_2014-05-30_final
2014-05-31 09:28:03	ga_ls8c_ard_3-0-0_091089_2014-05-30_final
2022-05-10 09:39:43	ga_ls8c_ard_3-2-1_094071_2022-05-10_final
2022-05-10 09:40:07	ga_ls8c_ard_3-2-1_094072_2022-05-10_final
2022-05-10 09:40:31	ga_ls8c_ard_3-2-1_094073_2022-05-10_final
2022-05-10 09:40:55	ga_ls8c_ard_3-2-1_094074_2022-05-10_final
2022-05-10 09:41:19	ga_ls8c_ard_3-2-1_094075_2022-05-10_final
2022-05-10 09:41:43	ga_ls8c_ard_3-2-1_094076_2022-05-10_final
2022-05-14 09:21:25	ga_ls8c_ard_3-2-1_090087_2022-05-13_final
2022-05-14 09:21:49	ga_ls8c_ard_3-2-1_090088_2022-05-13_final
2022-05-14 09:22:13	ga_ls8c_ard_3-2-1_090089_2022-05-13_final
2022-05-14 09:22:37	ga_ls8c_ard_3-2-1_090090_2022-05-13_final
2022-05-14 09:23:00	ga_ls8c_ard_3-2-1_090091_2022-05-13_final
2023-03-19 09:35:09	ga_ls8c_ard_3-2-1_093075_2023-03-19_final
2023-03-19 09:35:33	ga_ls8c_ard_3-2-1_093076_2023-03-19_final
2023-03-19 09:35:57	ga_ls8c_ard_3-2-1_093077_2023-03-19_final
2023-03-19 09:36:21	ga_ls8c_ard_3-2-1_093078_2023-03-19_final
2023-03-19 09:36:45	ga_ls8c_ard_3-2-1_093079_2023-03-19_final
2023-03-19 09:37:09	ga_ls8c_ard_3-2-1_093080_2023-03-19_final
2023-03-19 09:37:33	ga_ls8c_ard_3-2-1_093081_2023-03-19_final
2023-04-13 09:30:37	ga_ls8c_ard_3-2-1_092080_2023-04-13_final
2023-04-13 09:31:01	ga_ls8c_ard_3-2-1_092081_2023-04-13_final
2023-04-13 09:31:25	ga_ls8c_ard_3-2-1_092082_2023-04-13_final
2023-04-13 09:31:49	ga_ls8c_ard_3-2-1_092083_2023-04-13_final
2023-04-13 09:32:13	ga_ls8c_ard_3-2-1_092084_2023-04-13_final
2023-04-13 09:32:37	ga_ls8c_ard_3-2-1_092085_2023-04-13_final
2023-04-18 09:45:32	ga_ls8c_ard_3-2-1_095071_2023-04-18_final
2023-04-18 09:45:56	ga_ls8c_ard_3-2-1_095072_2023-04-18_final
2023-04-27 09:39:20	ga_ls8c_ard_3-2-1_094071_2023-04-27_final
2023-04-27 09:39:44	ga_ls8c_ard_3-2-1_094072_2023-04-27_final
2023-04-27 09:40:08	ga_ls8c_ard_3-2-1_094073_2023-04-27_final
2023-04-27 09:40:32	ga_ls8c_ard_3-2-1_094074_2023-04-27_final
2023-04-27 09:40:56	ga_ls8c_ard_3-2-1_094075_2023-04-27_final
2023-04-27 09:41:20	ga_ls8c_ard_3-2-1_094076_2023-04-27_final
2023-07-23 09:45:44	ga_ls8c_ard_3-2-1_095071_2023-07-23_final
2023-07-23 09:46:08	ga_ls8c_ard_3-2-1_095072_2023-07-23_final
2023-08-01 09:40:04	ga_ls8c_ard_3-2-1_094072_2023-08-01_final
2023-08-01 09:40:52	ga_ls8c_ard_3-2-1_094074_2023-08-01_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