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
2023-08-27 09:30:10	ga_ls9c_ard_3-2-1_092078_2023-08-27_final.stac-item
2023-08-27 09:30:33	ga_ls9c_ard_3-2-1_092079_2023-08-27_final.stac-item
2023-08-27 09:30:57	ga_ls9c_ard_3-2-1_092080_2023-08-27_final.stac-item
2023-08-27 09:31:21	ga_ls9c_ard_3-2-1_092081_2023-08-27_final.stac-item
2023-08-27 09:32:57	ga_ls9c_ard_3-2-1_092085_2023-08-27_final.stac-item
2023-08-27 09:33:21	ga_ls9c_ard_3-2-1_092086_2023-08-27_final.stac-item
2023-08-27 09:33:45	ga_ls9c_ard_3-2-1_092087_2023-08-27_final.stac-item
2023-08-27 09:34:09	ga_ls9c_ard_3-2-1_092088_2023-08-27_final.stac-item
2023-08-27 09:34:33	ga_ls9c_ard_3-2-1_092089_2023-08-27_final.stac-item
2023-08-27 09:34:57	ga_ls9c_ard_3-2-1_092090_2023-08-27_final.stac-item
2023-08-27 11:05:27	ga_ls9c_ard_3-2-1_108069_2023-08-27_final.stac-item
2023-08-27 11:05:51	ga_ls9c_ard_3-2-1_108070_2023-08-27_final.stac-item
2023-08-27 11:06:15	ga_ls9c_ard_3-2-1_108071_2023-08-27_final.stac-item
2023-08-27 11:06:39	ga_ls9c_ard_3-2-1_108072_2023-08-27_final.stac-item
2023-08-27 11:07:03	ga_ls9c_ard_3-2-1_108073_2023-08-27_final.stac-item
2023-08-27 11:07:27	ga_ls9c_ard_3-2-1_108074_2023-08-27_final.stac-item
2023-08-27 11:07:51	ga_ls9c_ard_3-2-1_108075_2023-08-27_final.stac-item
2023-08-27 11:08:15	ga_ls9c_ard_3-2-1_108076_2023-08-27_final.stac-item
2023-08-27 11:08:39	ga_ls9c_ard_3-2-1_108077_2023-08-27_final.stac-item
2023-08-27 11:09:03	ga_ls9c_ard_3-2-1_108078_2023-08-27_final.stac-item
2023-08-27 11:09:27	ga_ls9c_ard_3-2-1_108079_2023-08-27_final.stac-item
2023-08-27 11:10:38	ga_ls9c_ard_3-2-1_108082_2023-08-27_final.stac-item
2023-08-27 11:11:26	ga_ls9c_ard_3-2-1_108084_2023-08-27_final.stac-item
2023-08-28 10:09:26	ga_ls9c_ard_3-2-1_099068_2023-08-28_final.stac-item
2023-08-28 10:09:50	ga_ls9c_ard_3-2-1_099069_2023-08-28_final.stac-item
2023-08-28 10:10:14	ga_ls9c_ard_3-2-1_099070_2023-08-28_final.stac-item
2023-08-28 10:10:38	ga_ls9c_ard_3-2-1_099071_2023-08-28_final.stac-item
2023-08-28 10:11:02	ga_ls9c_ard_3-2-1_099072_2023-08-28_final.stac-item
2023-08-28 10:11:26	ga_ls9c_ard_3-2-1_099073_2023-08-28_final.stac-item
2023-08-28 10:11:50	ga_ls9c_ard_3-2-1_099074_2023-08-28_final.stac-item
2023-08-28 10:12:14	ga_ls9c_ard_3-2-1_099075_2023-08-28_final.stac-item
2023-08-28 10:13:02	ga_ls9c_ard_3-2-1_099077_2023-08-28_final.stac-item
2023-08-28 10:13:50	ga_ls9c_ard_3-2-1_099079_2023-08-28_final.stac-item
2023-08-28 10:14:38	ga_ls9c_ard_3-2-1_099081_2023-08-28_final.stac-item
2023-08-28 10:15:02	ga_ls9c_ard_3-2-1_099082_2023-08-28_final.stac-item
2023-08-28 10:15:26	ga_ls9c_ard_3-2-1_099083_2023-08-28_final.stac-item
2023-08-28 10:15:50	ga_ls9c_ard_3-2-1_099084_2023-08-28_final.stac-item
2023-08-28 10:16:13	ga_ls9c_ard_3-2-1_099085_2023-08-28_final.stac-item
2023-08-28 11:50:43	ga_ls9c_ard_3-2-1_115074_2023-08-28_final.stac-item
2023-08-28 11:51:31	ga_ls9c_ard_3-2-1_115076_2023-08-28_final.stac-item
2023-08-28 11:51:55	ga_ls9c_ard_3-2-1_115077_2023-08-28_final.stac-item
2023-08-28 11:52:19	ga_ls9c_ard_3-2-1_115078_2023-08-28_final.stac-item
2023-08-28 11:52:43	ga_ls9c_ard_3-2-1_115079_2023-08-28_final.stac-item
2023-08-28 11:53:07	ga_ls9c_ard_3-2-1_115080_2023-08-28_final.stac-item
2023-08-29 09:16:13	ga_ls9c_ard_3-2-1_090074_2023-08-28_final.stac-item
2023-08-29 09:16:37	ga_ls9c_ard_3-2-1_090075_2023-08-28_final.stac-item
2023-08-29 09:17:01	ga_ls9c_ard_3-2-1_090076_2023-08-28_final.stac-item
2023-08-29 09:17:25	ga_ls9c_ard_3-2-1_090077_2023-08-28_final.stac-item
2023-08-29 09:17:49	ga_ls9c_ard_3-2-1_090078_2023-08-28_final.stac-item
2023-08-29 09:18:13	ga_ls9c_ard_3-2-1_090079_2023-08-28_final.stac-item
2023-08-29 09:18:37	ga_ls9c_ard_3-2-1_090080_2023-08-28_final.stac-item
2023-08-29 09:19:01	ga_ls9c_ard_3-2-1_090081_2023-08-28_final.stac-item
2023-08-29 09:19:25	ga_ls9c_ard_3-2-1_090082_2023-08-28_final.stac-item
2023-08-29 09:19:49	ga_ls9c_ard_3-2-1_090083_2023-08-28_final.stac-item
2023-08-29 09:20:37	ga_ls9c_ard_3-2-1_090085_2023-08-28_final.stac-item
2023-08-29 09:21:01	ga_ls9c_ard_3-2-1_090086_2023-08-28_final.stac-item
2023-08-29 09:21:49	ga_ls9c_ard_3-2-1_090088_2023-08-28_final.stac-item
2023-08-29 09:22:13	ga_ls9c_ard_3-2-1_090089_2023-08-28_final.stac-item
2023-08-29 10:52:43	ga_ls9c_ard_3-2-1_106068_2023-08-29_final.stac-item
2023-08-29 10:53:31	ga_ls9c_ard_3-2-1_106070_2023-08-29_final.stac-item
2023-08-29 10:53:55	ga_ls9c_ard_3-2-1_106071_2023-08-29_final.stac-item
2023-08-29 10:54:18	ga_ls9c_ard_3-2-1_106072_2023-08-29_final.stac-item
2023-08-29 10:54:42	ga_ls9c_ard_3-2-1_106073_2023-08-29_final.stac-item
2023-08-29 10:55:06	ga_ls9c_ard_3-2-1_106074_2023-08-29_final.stac-item
2023-08-29 10:55:30	ga_ls9c_ard_3-2-1_106075_2023-08-29_final.stac-item
2023-08-29 10:55:54	ga_ls9c_ard_3-2-1_106076_2023-08-29_final.stac-item
2023-08-29 10:56:18	ga_ls9c_ard_3-2-1_106077_2023-08-29_final.stac-item
2023-08-29 10:56:42	ga_ls9c_ard_3-2-1_106078_2023-08-29_final.stac-item
2023-08-29 10:57:06	ga_ls9c_ard_3-2-1_106079_2023-08-29_final.stac-item
2023-08-29 10:57:30	ga_ls9c_ard_3-2-1_106080_2023-08-29_final.stac-item
2023-08-29 10:57:54	ga_ls9c_ard_3-2-1_106081_2023-08-29_final.stac-item
2023-08-29 10:58:18	ga_ls9c_ard_3-2-1_106082_2023-08-29_final.stac-item
2023-08-30 09:56:42	ga_ls9c_ard_3-2-1_097067_2023-08-30_final.stac-item
2023-08-30 09:57:06	ga_ls9c_ard_3-2-1_097068_2023-08-30_final.stac-item
2023-08-30 09:57:54	ga_ls9c_ard_3-2-1_097070_2023-08-30_final.stac-item
2023-08-30 09:58:18	ga_ls9c_ard_3-2-1_097071_2023-08-30_final.stac-item
2023-08-30 09:58:42	ga_ls9c_ard_3-2-1_097072_2023-08-30_final.stac-item
2023-08-30 09:59:06	ga_ls9c_ard_3-2-1_097073_2023-08-30_final.stac-item
2023-08-30 09:59:30	ga_ls9c_ard_3-2-1_097074_2023-08-30_final.stac-item
2023-08-30 09:59:53	ga_ls9c_ard_3-2-1_097075_2023-08-30_final.stac-item
2023-08-30 10:00:17	ga_ls9c_ard_3-2-1_097076_2023-08-30_final.stac-item
2023-08-30 10:00:41	ga_ls9c_ard_3-2-1_097077_2023-08-30_final.stac-item
2023-08-30 10:01:05	ga_ls9c_ard_3-2-1_097078_2023-08-30_final.stac-item
2023-08-30 10:01:29	ga_ls9c_ard_3-2-1_097079_2023-08-30_final.stac-item
2023-08-30 10:02:17	ga_ls9c_ard_3-2-1_097081_2023-08-30_final.stac-item
2023-08-30 10:02:41	ga_ls9c_ard_3-2-1_097082_2023-08-30_final.stac-item
2023-08-30 10:03:05	ga_ls9c_ard_3-2-1_097083_2023-08-30_final.stac-item
2023-08-30 10:03:29	ga_ls9c_ard_3-2-1_097084_2023-08-30_final.stac-item
2023-08-30 10:03:53	ga_ls9c_ard_3-2-1_097085_2023-08-30_final.stac-item
2023-08-30 11:37:35	ga_ls9c_ard_3-2-1_113072_2023-08-30_final.stac-item
2023-08-30 11:37:59	ga_ls9c_ard_3-2-1_113073_2023-08-30_final.stac-item
2023-08-30 11:38:23	ga_ls9c_ard_3-2-1_113074_2023-08-30_final.stac-item
2023-08-30 11:38:47	ga_ls9c_ard_3-2-1_113075_2023-08-30_final.stac-item
2023-08-30 11:39:34	ga_ls9c_ard_3-2-1_113077_2023-08-30_final.stac-item
2023-08-30 11:40:22	ga_ls9c_ard_3-2-1_113079_2023-08-30_final.stac-item
2023-08-30 11:41:10	ga_ls9c_ard_3-2-1_113081_2023-08-30_final.stac-item
2023-08-30 11:41:58	ga_ls9c_ard_3-2-1_113083_2023-08-30_final.stac-item
2023-08-31 09:06:16	ga_ls9c_ard_3-2-1_088080_2023-08-30_final.stac-item
2023-08-31 09:06:40	ga_ls9c_ard_3-2-1_088081_2023-08-30_final.stac-item
2023-08-31 09:07:04	ga_ls9c_ard_3-2-1_088082_2023-08-30_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