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

95 results

Time (local)	Label
2023-07-24 09:39:24	ga_ls9c_ard_3-2-1_094071_2023-07-24_final.stac-item
2023-07-24 09:39:48	ga_ls9c_ard_3-2-1_094072_2023-07-24_final.stac-item
2023-07-24 09:40:12	ga_ls9c_ard_3-2-1_094073_2023-07-24_final.stac-item
2023-07-24 09:40:36	ga_ls9c_ard_3-2-1_094074_2023-07-24_final.stac-item
2023-07-24 09:41:00	ga_ls9c_ard_3-2-1_094075_2023-07-24_final.stac-item
2023-07-24 09:41:24	ga_ls9c_ard_3-2-1_094076_2023-07-24_final.stac-item
2023-07-24 09:41:48	ga_ls9c_ard_3-2-1_094077_2023-07-24_final.stac-item
2023-07-24 09:42:36	ga_ls9c_ard_3-2-1_094079_2023-07-24_final.stac-item
2023-07-24 09:43:24	ga_ls9c_ard_3-2-1_094081_2023-07-24_final.stac-item
2023-07-24 09:44:12	ga_ls9c_ard_3-2-1_094083_2023-07-24_final.stac-item
2023-07-24 09:44:36	ga_ls9c_ard_3-2-1_094084_2023-07-24_final.stac-item
2023-07-24 09:44:59	ga_ls9c_ard_3-2-1_094085_2023-07-24_final.stac-item
2023-07-24 09:45:23	ga_ls9c_ard_3-2-1_094086_2023-07-24_final.stac-item
2023-07-24 09:45:47	ga_ls9c_ard_3-2-1_094087_2023-07-24_final.stac-item
2023-07-24 11:17:29	ga_ls9c_ard_3-2-1_110069_2023-07-24_final.stac-item
2023-07-24 11:17:53	ga_ls9c_ard_3-2-1_110070_2023-07-24_final.stac-item
2023-07-24 11:18:17	ga_ls9c_ard_3-2-1_110071_2023-07-24_final.stac-item
2023-07-24 11:18:41	ga_ls9c_ard_3-2-1_110072_2023-07-24_final.stac-item
2023-07-24 11:19:53	ga_ls9c_ard_3-2-1_110075_2023-07-24_final.stac-item
2023-07-24 11:20:41	ga_ls9c_ard_3-2-1_110077_2023-07-24_final.stac-item
2023-07-24 11:21:29	ga_ls9c_ard_3-2-1_110079_2023-07-24_final.stac-item
2023-07-24 11:21:53	ga_ls9c_ard_3-2-1_110080_2023-07-24_final.stac-item
2023-07-24 11:22:17	ga_ls9c_ard_3-2-1_110081_2023-07-24_final.stac-item
2023-07-24 11:23:05	ga_ls9c_ard_3-2-1_110083_2023-07-24_final.stac-item
2023-07-24 11:23:29	ga_ls9c_ard_3-2-1_110084_2023-07-24_final.stac-item
2023-07-25 10:23:04	ga_ls9c_ard_3-2-1_101072_2023-07-25_final.stac-item
2023-07-25 10:23:28	ga_ls9c_ard_3-2-1_101073_2023-07-25_final.stac-item
2023-07-25 10:23:51	ga_ls9c_ard_3-2-1_101074_2023-07-25_final.stac-item
2023-07-25 10:24:15	ga_ls9c_ard_3-2-1_101075_2023-07-25_final.stac-item
2023-07-25 10:25:03	ga_ls9c_ard_3-2-1_101077_2023-07-25_final.stac-item
2023-07-25 10:25:27	ga_ls9c_ard_3-2-1_101078_2023-07-25_final.stac-item
2023-07-25 10:25:51	ga_ls9c_ard_3-2-1_101079_2023-07-25_final.stac-item
2023-07-25 10:26:39	ga_ls9c_ard_3-2-1_101081_2023-07-25_final.stac-item
2023-07-25 10:27:03	ga_ls9c_ard_3-2-1_101082_2023-07-25_final.stac-item
2023-07-26 09:27:04	ga_ls9c_ard_3-2-1_092071_2023-07-25_final.stac-item
2023-07-26 09:27:27	ga_ls9c_ard_3-2-1_092072_2023-07-25_final.stac-item
2023-07-26 09:27:51	ga_ls9c_ard_3-2-1_092073_2023-07-25_final.stac-item
2023-07-26 09:28:15	ga_ls9c_ard_3-2-1_092074_2023-07-25_final.stac-item
2023-07-26 09:28:39	ga_ls9c_ard_3-2-1_092075_2023-07-25_final.stac-item
2023-07-26 09:29:03	ga_ls9c_ard_3-2-1_092076_2023-07-25_final.stac-item
2023-07-26 09:29:27	ga_ls9c_ard_3-2-1_092077_2023-07-25_final.stac-item
2023-07-26 09:29:51	ga_ls9c_ard_3-2-1_092078_2023-07-25_final.stac-item
2023-07-26 09:30:15	ga_ls9c_ard_3-2-1_092079_2023-07-26_final.stac-item
2023-07-26 09:30:39	ga_ls9c_ard_3-2-1_092080_2023-07-26_final.stac-item
2023-07-26 09:31:51	ga_ls9c_ard_3-2-1_092083_2023-07-26_final.stac-item
2023-07-26 09:32:15	ga_ls9c_ard_3-2-1_092084_2023-07-26_final.stac-item
2023-07-26 09:32:39	ga_ls9c_ard_3-2-1_092085_2023-07-26_final.stac-item
2023-07-26 09:33:03	ga_ls9c_ard_3-2-1_092086_2023-07-26_final.stac-item
2023-07-26 09:33:27	ga_ls9c_ard_3-2-1_092087_2023-07-26_final.stac-item
2023-07-26 09:33:51	ga_ls9c_ard_3-2-1_092088_2023-07-26_final.stac-item
2023-07-26 09:34:15	ga_ls9c_ard_3-2-1_092089_2023-07-26_final.stac-item
2023-07-26 09:34:39	ga_ls9c_ard_3-2-1_092090_2023-07-26_final.stac-item
2023-07-26 11:05:33	ga_ls9c_ard_3-2-1_108070_2023-07-26_final.stac-item
2023-07-26 11:05:57	ga_ls9c_ard_3-2-1_108071_2023-07-26_final.stac-item
2023-07-26 11:06:21	ga_ls9c_ard_3-2-1_108072_2023-07-26_final.stac-item
2023-07-26 11:06:45	ga_ls9c_ard_3-2-1_108073_2023-07-26_final.stac-item
2023-07-26 11:07:08	ga_ls9c_ard_3-2-1_108074_2023-07-26_final.stac-item
2023-07-26 11:07:32	ga_ls9c_ard_3-2-1_108075_2023-07-26_final.stac-item
2023-07-26 11:07:56	ga_ls9c_ard_3-2-1_108076_2023-07-26_final.stac-item
2023-07-26 11:08:20	ga_ls9c_ard_3-2-1_108077_2023-07-26_final.stac-item
2023-07-26 11:09:08	ga_ls9c_ard_3-2-1_108079_2023-07-26_final.stac-item
2023-07-26 11:10:20	ga_ls9c_ard_3-2-1_108082_2023-07-26_final.stac-item
2023-07-26 11:11:08	ga_ls9c_ard_3-2-1_108084_2023-07-26_final.stac-item
2023-07-27 10:08:45	ga_ls9c_ard_3-2-1_099067_2023-07-27_final.stac-item
2023-07-27 10:09:33	ga_ls9c_ard_3-2-1_099069_2023-07-27_final.stac-item
2023-07-27 10:10:44	ga_ls9c_ard_3-2-1_099072_2023-07-27_final.stac-item
2023-07-27 10:11:32	ga_ls9c_ard_3-2-1_099074_2023-07-27_final.stac-item
2023-07-27 10:11:56	ga_ls9c_ard_3-2-1_099075_2023-07-27_final.stac-item
2023-07-27 10:12:44	ga_ls9c_ard_3-2-1_099077_2023-07-27_final.stac-item
2023-07-27 10:13:32	ga_ls9c_ard_3-2-1_099079_2023-07-27_final.stac-item
2023-07-27 10:13:56	ga_ls9c_ard_3-2-1_099080_2023-07-27_final.stac-item
2023-07-27 10:14:20	ga_ls9c_ard_3-2-1_099081_2023-07-27_final.stac-item
2023-07-27 10:14:44	ga_ls9c_ard_3-2-1_099082_2023-07-27_final.stac-item
2023-07-27 10:15:08	ga_ls9c_ard_3-2-1_099083_2023-07-27_final.stac-item
2023-07-27 10:15:32	ga_ls9c_ard_3-2-1_099084_2023-07-27_final.stac-item
2023-07-27 10:15:56	ga_ls9c_ard_3-2-1_099085_2023-07-27_final.stac-item
2023-07-27 11:50:25	ga_ls9c_ard_3-2-1_115074_2023-07-27_final.stac-item
2023-07-27 11:51:13	ga_ls9c_ard_3-2-1_115076_2023-07-27_final.stac-item
2023-07-27 11:52:25	ga_ls9c_ard_3-2-1_115079_2023-07-27_final.stac-item
2023-07-27 11:52:49	ga_ls9c_ard_3-2-1_115080_2023-07-27_final.stac-item
2023-07-28 09:15:56	ga_ls9c_ard_3-2-1_090074_2023-07-27_final.stac-item
2023-07-28 09:16:20	ga_ls9c_ard_3-2-1_090075_2023-07-27_final.stac-item
2023-07-28 09:16:44	ga_ls9c_ard_3-2-1_090076_2023-07-27_final.stac-item
2023-07-28 09:17:08	ga_ls9c_ard_3-2-1_090077_2023-07-27_final.stac-item
2023-07-28 09:17:32	ga_ls9c_ard_3-2-1_090078_2023-07-27_final.stac-item
2023-07-28 09:18:20	ga_ls9c_ard_3-2-1_090080_2023-07-27_final.stac-item
2023-07-28 09:18:44	ga_ls9c_ard_3-2-1_090081_2023-07-27_final.stac-item
2023-07-28 09:19:08	ga_ls9c_ard_3-2-1_090082_2023-07-27_final.stac-item
2023-07-28 09:19:32	ga_ls9c_ard_3-2-1_090083_2023-07-27_final.stac-item
2023-07-28 09:19:56	ga_ls9c_ard_3-2-1_090084_2023-07-27_final.stac-item
2023-07-28 09:20:19	ga_ls9c_ard_3-2-1_090085_2023-07-27_final.stac-item
2023-07-28 09:20:43	ga_ls9c_ard_3-2-1_090086_2023-07-27_final.stac-item
2023-07-28 09:21:31	ga_ls9c_ard_3-2-1_090088_2023-07-27_final.stac-item
2023-07-28 09:21:55	ga_ls9c_ard_3-2-1_090089_2023-07-27_final.stac-item
2023-07-28 09:22:19	ga_ls9c_ard_3-2-1_090090_2023-07-27_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