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

90 results

Time (local)	Label
2024-02-17 09:40:02	ga_ls9c_ard_3-2-1_094071_2024-02-17_final.stac-item
2024-02-17 09:41:14	ga_ls9c_ard_3-2-1_094074_2024-02-17_final.stac-item
2024-02-17 09:41:38	ga_ls9c_ard_3-2-1_094075_2024-02-17_final.stac-item
2024-02-17 09:42:02	ga_ls9c_ard_3-2-1_094076_2024-02-17_final.stac-item
2024-02-17 09:42:26	ga_ls9c_ard_3-2-1_094077_2024-02-17_final.stac-item
2024-02-17 09:42:50	ga_ls9c_ard_3-2-1_094078_2024-02-17_final.stac-item
2024-02-17 09:43:14	ga_ls9c_ard_3-2-1_094079_2024-02-17_final.stac-item
2024-02-17 09:43:38	ga_ls9c_ard_3-2-1_094080_2024-02-17_final.stac-item
2024-02-17 09:44:25	ga_ls9c_ard_3-2-1_094082_2024-02-17_final.stac-item
2024-02-17 09:44:49	ga_ls9c_ard_3-2-1_094083_2024-02-17_final.stac-item
2024-02-17 09:45:13	ga_ls9c_ard_3-2-1_094084_2024-02-17_final.stac-item
2024-02-17 09:46:01	ga_ls9c_ard_3-2-1_094086_2024-02-17_final.stac-item
2024-02-17 09:46:25	ga_ls9c_ard_3-2-1_094087_2024-02-17_final.stac-item
2024-02-17 11:18:31	ga_ls9c_ard_3-2-1_110070_2024-02-17_final.stac-item
2024-02-17 11:18:55	ga_ls9c_ard_3-2-1_110071_2024-02-17_final.stac-item
2024-02-17 11:19:19	ga_ls9c_ard_3-2-1_110072_2024-02-17_final.stac-item
2024-02-17 11:19:43	ga_ls9c_ard_3-2-1_110073_2024-02-17_final.stac-item
2024-02-17 11:20:07	ga_ls9c_ard_3-2-1_110074_2024-02-17_final.stac-item
2024-02-17 11:20:31	ga_ls9c_ard_3-2-1_110075_2024-02-17_final.stac-item
2024-02-17 11:20:55	ga_ls9c_ard_3-2-1_110076_2024-02-17_final.stac-item
2024-02-17 11:21:43	ga_ls9c_ard_3-2-1_110078_2024-02-17_final.stac-item
2024-02-17 11:22:07	ga_ls9c_ard_3-2-1_110079_2024-02-17_final.stac-item
2024-02-17 11:22:30	ga_ls9c_ard_3-2-1_110080_2024-02-17_final.stac-item
2024-02-17 11:22:54	ga_ls9c_ard_3-2-1_110081_2024-02-17_final.stac-item
2024-02-17 11:23:18	ga_ls9c_ard_3-2-1_110082_2024-02-17_final.stac-item
2024-02-17 11:23:42	ga_ls9c_ard_3-2-1_110083_2024-02-17_final.stac-item
2024-02-17 11:24:30	ga_ls9c_ard_3-2-1_110085_2024-02-17_final.stac-item
2024-02-18 10:22:53	ga_ls9c_ard_3-2-1_101070_2024-02-18_final.stac-item
2024-02-18 10:23:16	ga_ls9c_ard_3-2-1_101071_2024-02-18_final.stac-item
2024-02-18 10:24:28	ga_ls9c_ard_3-2-1_101074_2024-02-18_final.stac-item
2024-02-18 10:25:40	ga_ls9c_ard_3-2-1_101077_2024-02-18_final.stac-item
2024-02-18 10:26:04	ga_ls9c_ard_3-2-1_101078_2024-02-18_final.stac-item
2024-02-18 10:26:28	ga_ls9c_ard_3-2-1_101079_2024-02-18_final.stac-item
2024-02-18 10:26:52	ga_ls9c_ard_3-2-1_101080_2024-02-18_final.stac-item
2024-02-18 10:27:16	ga_ls9c_ard_3-2-1_101081_2024-02-18_final.stac-item
2024-02-19 09:27:38	ga_ls9c_ard_3-2-1_092071_2024-02-18_final.stac-item
2024-02-19 09:28:02	ga_ls9c_ard_3-2-1_092072_2024-02-18_final.stac-item
2024-02-19 09:28:26	ga_ls9c_ard_3-2-1_092073_2024-02-18_final.stac-item
2024-02-19 09:28:50	ga_ls9c_ard_3-2-1_092074_2024-02-18_final.stac-item
2024-02-19 09:29:38	ga_ls9c_ard_3-2-1_092076_2024-02-18_final.stac-item
2024-02-19 09:30:01	ga_ls9c_ard_3-2-1_092077_2024-02-19_final.stac-item
2024-02-19 09:30:25	ga_ls9c_ard_3-2-1_092078_2024-02-19_final.stac-item
2024-02-19 09:31:37	ga_ls9c_ard_3-2-1_092081_2024-02-19_final.stac-item
2024-02-19 09:32:01	ga_ls9c_ard_3-2-1_092082_2024-02-19_final.stac-item
2024-02-19 09:32:25	ga_ls9c_ard_3-2-1_092083_2024-02-19_final.stac-item
2024-02-19 09:32:49	ga_ls9c_ard_3-2-1_092084_2024-02-19_final.stac-item
2024-02-19 09:33:13	ga_ls9c_ard_3-2-1_092085_2024-02-19_final.stac-item
2024-02-19 09:33:37	ga_ls9c_ard_3-2-1_092086_2024-02-19_final.stac-item
2024-02-19 09:34:01	ga_ls9c_ard_3-2-1_092087_2024-02-19_final.stac-item
2024-02-19 09:34:25	ga_ls9c_ard_3-2-1_092088_2024-02-19_final.stac-item
2024-02-19 09:34:49	ga_ls9c_ard_3-2-1_092089_2024-02-19_final.stac-item
2024-02-19 09:35:13	ga_ls9c_ard_3-2-1_092090_2024-02-19_final.stac-item
2024-02-19 11:05:43	ga_ls9c_ard_3-2-1_108069_2024-02-19_final.stac-item
2024-02-19 11:06:07	ga_ls9c_ard_3-2-1_108070_2024-02-19_final.stac-item
2024-02-19 11:06:31	ga_ls9c_ard_3-2-1_108071_2024-02-19_final.stac-item
2024-02-19 11:07:19	ga_ls9c_ard_3-2-1_108073_2024-02-19_final.stac-item
2024-02-19 11:08:06	ga_ls9c_ard_3-2-1_108075_2024-02-19_final.stac-item
2024-02-19 11:08:30	ga_ls9c_ard_3-2-1_108076_2024-02-19_final.stac-item
2024-02-19 11:08:54	ga_ls9c_ard_3-2-1_108077_2024-02-19_final.stac-item
2024-02-19 11:09:18	ga_ls9c_ard_3-2-1_108078_2024-02-19_final.stac-item
2024-02-19 11:10:06	ga_ls9c_ard_3-2-1_108080_2024-02-19_final.stac-item
2024-02-19 11:10:30	ga_ls9c_ard_3-2-1_108081_2024-02-19_final.stac-item
2024-02-19 11:11:18	ga_ls9c_ard_3-2-1_108083_2024-02-19_final.stac-item
2024-02-19 11:11:42	ga_ls9c_ard_3-2-1_108084_2024-02-19_final.stac-item
2024-02-20 10:09:16	ga_ls9c_ard_3-2-1_099067_2024-02-20_final.stac-item
2024-02-20 10:09:40	ga_ls9c_ard_3-2-1_099068_2024-02-20_final.stac-item
2024-02-20 10:10:52	ga_ls9c_ard_3-2-1_099071_2024-02-20_final.stac-item
2024-02-20 10:11:16	ga_ls9c_ard_3-2-1_099072_2024-02-20_final.stac-item
2024-02-20 10:11:40	ga_ls9c_ard_3-2-1_099073_2024-02-20_final.stac-item
2024-02-20 10:12:04	ga_ls9c_ard_3-2-1_099074_2024-02-20_final.stac-item
2024-02-20 10:12:52	ga_ls9c_ard_3-2-1_099076_2024-02-20_final.stac-item
2024-02-20 10:13:16	ga_ls9c_ard_3-2-1_099077_2024-02-20_final.stac-item
2024-02-20 10:13:40	ga_ls9c_ard_3-2-1_099078_2024-02-20_final.stac-item
2024-02-20 10:14:27	ga_ls9c_ard_3-2-1_099080_2024-02-20_final.stac-item
2024-02-20 10:14:51	ga_ls9c_ard_3-2-1_099081_2024-02-20_final.stac-item
2024-02-20 10:15:39	ga_ls9c_ard_3-2-1_099083_2024-02-20_final.stac-item
2024-02-20 10:16:03	ga_ls9c_ard_3-2-1_099084_2024-02-20_final.stac-item
2024-02-20 11:50:57	ga_ls9c_ard_3-2-1_115074_2024-02-20_final.stac-item
2024-02-20 11:51:21	ga_ls9c_ard_3-2-1_115075_2024-02-20_final.stac-item
2024-02-20 11:52:57	ga_ls9c_ard_3-2-1_115079_2024-02-20_final.stac-item
2024-02-20 11:53:20	ga_ls9c_ard_3-2-1_115080_2024-02-20_final.stac-item
2024-02-21 09:16:49	ga_ls9c_ard_3-2-1_090075_2024-02-20_final.stac-item
2024-02-21 09:17:37	ga_ls9c_ard_3-2-1_090077_2024-02-20_final.stac-item
2024-02-21 09:19:37	ga_ls9c_ard_3-2-1_090082_2024-02-20_final.stac-item
2024-02-21 09:20:01	ga_ls9c_ard_3-2-1_090083_2024-02-20_final.stac-item
2024-02-21 09:20:24	ga_ls9c_ard_3-2-1_090084_2024-02-20_final.stac-item
2024-02-21 09:20:48	ga_ls9c_ard_3-2-1_090085_2024-02-20_final.stac-item
2024-02-21 09:21:36	ga_ls9c_ard_3-2-1_090087_2024-02-20_final.stac-item
2024-02-21 09:22:00	ga_ls9c_ard_3-2-1_090088_2024-02-20_final.stac-item
2024-02-21 09:22:48	ga_ls9c_ard_3-2-1_090090_2024-02-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years