Search ga_ls9c_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
2023-03-28 10:16:53	ga_ls9c_ard_3-2-1_100071_2023-03-28_final.stac-item
2023-03-28 10:17:41	ga_ls9c_ard_3-2-1_100073_2023-03-28_final.stac-item
2023-03-28 10:18:05	ga_ls9c_ard_3-2-1_100074_2023-03-28_final.stac-item
2023-03-28 10:18:29	ga_ls9c_ard_3-2-1_100075_2023-03-28_final.stac-item
2023-03-28 10:18:53	ga_ls9c_ard_3-2-1_100076_2023-03-28_final.stac-item
2023-03-28 10:19:17	ga_ls9c_ard_3-2-1_100077_2023-03-28_final.stac-item
2023-03-28 10:19:41	ga_ls9c_ard_3-2-1_100078_2023-03-28_final.stac-item
2023-03-28 10:20:05	ga_ls9c_ard_3-2-1_100079_2023-03-28_final.stac-item
2023-03-28 10:20:29	ga_ls9c_ard_3-2-1_100080_2023-03-28_final.stac-item
2023-03-28 10:20:53	ga_ls9c_ard_3-2-1_100081_2023-03-28_final.stac-item
2023-03-28 10:22:05	ga_ls9c_ard_3-2-1_100084_2023-03-28_final.stac-item
2023-03-28 11:58:10	ga_ls9c_ard_3-2-1_116077_2023-03-28_final.stac-item
2023-03-28 11:58:34	ga_ls9c_ard_3-2-1_116078_2023-03-28_final.stac-item
2023-03-29 09:22:26	ga_ls9c_ard_3-2-1_091074_2023-03-28_final.stac-item
2023-03-29 09:24:02	ga_ls9c_ard_3-2-1_091078_2023-03-28_final.stac-item
2023-03-29 09:24:50	ga_ls9c_ard_3-2-1_091080_2023-03-28_final.stac-item
2023-03-29 09:25:14	ga_ls9c_ard_3-2-1_091081_2023-03-28_final.stac-item
2023-03-29 09:26:02	ga_ls9c_ard_3-2-1_091083_2023-03-28_final.stac-item
2023-03-29 09:26:26	ga_ls9c_ard_3-2-1_091084_2023-03-28_final.stac-item
2023-03-29 09:26:50	ga_ls9c_ard_3-2-1_091085_2023-03-28_final.stac-item
2023-03-29 09:27:14	ga_ls9c_ard_3-2-1_091086_2023-03-28_final.stac-item
2023-03-29 09:28:02	ga_ls9c_ard_3-2-1_091088_2023-03-28_final.stac-item
2023-03-29 09:28:26	ga_ls9c_ard_3-2-1_091089_2023-03-28_final.stac-item
2023-03-29 09:28:50	ga_ls9c_ard_3-2-1_091090_2023-03-28_final.stac-item
2023-03-29 11:00:07	ga_ls9c_ard_3-2-1_107071_2023-03-29_final.stac-item
2023-03-29 11:02:07	ga_ls9c_ard_3-2-1_107076_2023-03-29_final.stac-item
2023-03-29 11:02:31	ga_ls9c_ard_3-2-1_107077_2023-03-29_final.stac-item
2023-03-29 11:02:55	ga_ls9c_ard_3-2-1_107078_2023-03-29_final.stac-item
2023-03-29 11:03:19	ga_ls9c_ard_3-2-1_107079_2023-03-29_final.stac-item
2023-03-29 11:04:07	ga_ls9c_ard_3-2-1_107081_2023-03-29_final.stac-item
2023-03-29 11:04:31	ga_ls9c_ard_3-2-1_107082_2023-03-29_final.stac-item
2023-03-29 11:05:19	ga_ls9c_ard_3-2-1_107084_2023-03-29_final.stac-item
2023-03-30 10:02:54	ga_ls9c_ard_3-2-1_098067_2023-03-30_final.stac-item
2023-03-30 10:03:18	ga_ls9c_ard_3-2-1_098068_2023-03-30_final.stac-item
2023-03-30 10:03:42	ga_ls9c_ard_3-2-1_098069_2023-03-30_final.stac-item
2023-03-30 10:04:06	ga_ls9c_ard_3-2-1_098070_2023-03-30_final.stac-item
2023-03-30 10:04:30	ga_ls9c_ard_3-2-1_098071_2023-03-30_final.stac-item
2023-03-30 10:04:53	ga_ls9c_ard_3-2-1_098072_2023-03-30_final.stac-item
2023-03-30 10:05:17	ga_ls9c_ard_3-2-1_098073_2023-03-30_final.stac-item
2023-03-30 10:05:41	ga_ls9c_ard_3-2-1_098074_2023-03-30_final.stac-item
2023-03-30 10:06:05	ga_ls9c_ard_3-2-1_098075_2023-03-30_final.stac-item
2023-03-30 10:06:53	ga_ls9c_ard_3-2-1_098077_2023-03-30_final.stac-item
2023-03-30 10:07:41	ga_ls9c_ard_3-2-1_098079_2023-03-30_final.stac-item
2023-03-30 10:08:05	ga_ls9c_ard_3-2-1_098080_2023-03-30_final.stac-item
2023-03-30 10:08:29	ga_ls9c_ard_3-2-1_098081_2023-03-30_final.stac-item
2023-03-30 10:08:53	ga_ls9c_ard_3-2-1_098082_2023-03-30_final.stac-item
2023-03-30 10:09:17	ga_ls9c_ard_3-2-1_098083_2023-03-30_final.stac-item
2023-03-30 10:09:41	ga_ls9c_ard_3-2-1_098084_2023-03-30_final.stac-item
2023-03-30 11:44:58	ga_ls9c_ard_3-2-1_114075_2023-03-30_final.stac-item
2023-03-30 11:45:22	ga_ls9c_ard_3-2-1_114076_2023-03-30_final.stac-item
2023-03-30 11:45:46	ga_ls9c_ard_3-2-1_114077_2023-03-30_final.stac-item
2023-03-30 11:46:10	ga_ls9c_ard_3-2-1_114078_2023-03-30_final.stac-item
2023-03-30 11:46:34	ga_ls9c_ard_3-2-1_114079_2023-03-30_final.stac-item
2023-03-30 11:47:22	ga_ls9c_ard_3-2-1_114081_2023-03-30_final.stac-item
2023-03-31 09:10:28	ga_ls9c_ard_3-2-1_089075_2023-03-30_final.stac-item
2023-03-31 09:10:52	ga_ls9c_ard_3-2-1_089076_2023-03-30_final.stac-item
2023-03-31 09:12:28	ga_ls9c_ard_3-2-1_089080_2023-03-30_final.stac-item
2023-03-31 09:14:04	ga_ls9c_ard_3-2-1_089084_2023-03-30_final.stac-item
2023-03-31 09:14:28	ga_ls9c_ard_3-2-1_089085_2023-03-30_final.stac-item
2023-03-31 09:14:52	ga_ls9c_ard_3-2-1_089086_2023-03-30_final.stac-item
2023-03-31 09:16:04	ga_ls9c_ard_3-2-1_089089_2023-03-30_final.stac-item
2023-03-31 10:46:10	ga_ls9c_ard_3-2-1_105067_2023-03-31_final.stac-item
2023-03-31 10:46:34	ga_ls9c_ard_3-2-1_105068_2023-03-31_final.stac-item
2023-03-31 10:46:58	ga_ls9c_ard_3-2-1_105069_2023-03-31_final.stac-item
2023-03-31 10:47:46	ga_ls9c_ard_3-2-1_105071_2023-03-31_final.stac-item
2023-03-31 10:48:10	ga_ls9c_ard_3-2-1_105072_2023-03-31_final.stac-item
2023-03-31 10:49:21	ga_ls9c_ard_3-2-1_105075_2023-03-31_final.stac-item
2023-03-31 10:50:33	ga_ls9c_ard_3-2-1_105078_2023-03-31_final.stac-item
2023-03-31 10:50:57	ga_ls9c_ard_3-2-1_105079_2023-03-31_final.stac-item
2023-03-31 10:51:45	ga_ls9c_ard_3-2-1_105081_2023-03-31_final.stac-item
2023-03-31 10:52:09	ga_ls9c_ard_3-2-1_105082_2023-03-31_final.stac-item
2023-04-01 09:52:08	ga_ls9c_ard_3-2-1_096071_2023-04-01_final.stac-item
2023-04-01 09:52:32	ga_ls9c_ard_3-2-1_096072_2023-04-01_final.stac-item
2023-04-01 09:52:56	ga_ls9c_ard_3-2-1_096073_2023-04-01_final.stac-item
2023-04-01 09:53:20	ga_ls9c_ard_3-2-1_096074_2023-04-01_final.stac-item
2023-04-01 09:53:44	ga_ls9c_ard_3-2-1_096075_2023-04-01_final.stac-item
2023-04-01 09:54:08	ga_ls9c_ard_3-2-1_096076_2023-04-01_final.stac-item
2023-04-01 09:55:20	ga_ls9c_ard_3-2-1_096079_2023-04-01_final.stac-item
2023-04-01 09:55:44	ga_ls9c_ard_3-2-1_096080_2023-04-01_final.stac-item
2023-04-01 09:56:08	ga_ls9c_ard_3-2-1_096081_2023-04-01_final.stac-item
2023-04-01 09:56:32	ga_ls9c_ard_3-2-1_096082_2023-04-01_final.stac-item
2023-04-01 09:56:56	ga_ls9c_ard_3-2-1_096083_2023-04-01_final.stac-item
2023-04-01 09:57:20	ga_ls9c_ard_3-2-1_096084_2023-04-01_final.stac-item
2023-04-01 09:57:44	ga_ls9c_ard_3-2-1_096085_2023-04-01_final.stac-item
2023-04-01 11:31:25	ga_ls9c_ard_3-2-1_112072_2023-04-01_final.stac-item
2023-04-01 11:31:49	ga_ls9c_ard_3-2-1_112073_2023-04-01_final.stac-item
2023-04-01 11:32:13	ga_ls9c_ard_3-2-1_112074_2023-04-01_final.stac-item
2023-04-01 11:33:01	ga_ls9c_ard_3-2-1_112076_2023-04-01_final.stac-item
2023-04-01 11:34:37	ga_ls9c_ard_3-2-1_112080_2023-04-01_final.stac-item
2023-04-01 11:35:01	ga_ls9c_ard_3-2-1_112081_2023-04-01_final.stac-item
2023-04-01 11:35:49	ga_ls9c_ard_3-2-1_112083_2023-04-01_final.stac-item
2023-04-02 10:34:12	ga_ls9c_ard_3-2-1_103068_2023-04-02_final.stac-item
2023-04-02 10:35:24	ga_ls9c_ard_3-2-1_103071_2023-04-02_final.stac-item
2023-04-02 10:35:48	ga_ls9c_ard_3-2-1_103072_2023-04-02_final.stac-item
2023-04-02 10:36:36	ga_ls9c_ard_3-2-1_103074_2023-04-02_final.stac-item
2023-04-02 10:37:24	ga_ls9c_ard_3-2-1_103076_2023-04-02_final.stac-item
2023-04-02 10:37:48	ga_ls9c_ard_3-2-1_103077_2023-04-02_final.stac-item
2023-04-02 10:38:12	ga_ls9c_ard_3-2-1_103078_2023-04-02_final.stac-item
2023-04-02 10:39:00	ga_ls9c_ard_3-2-1_103080_2023-04-02_final.stac-item
2023-04-02 10:39:24	ga_ls9c_ard_3-2-1_103081_2023-04-02_final.stac-item

Return to ga_ls9c_ard_3 whole collection overview

ga_ls9c_ard_3: Geoscience Australia Landsat 9 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