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
2023-12-29 11:32:59	ga_ls9c_ard_3-2-1_112075_2023-12-29_nrt.stac-item
2024-04-17 10:04:24	ga_ls9c_ard_3-2-1_098071_2024-04-17_nrt.stac-item
2024-04-21 09:39:33	ga_ls9c_ard_3-2-1_094071_2024-04-21_nrt.stac-item
2024-04-21 09:39:57	ga_ls9c_ard_3-2-1_094072_2024-04-21_nrt.stac-item
2024-04-21 09:40:21	ga_ls9c_ard_3-2-1_094073_2024-04-21_nrt.stac-item
2024-04-21 09:40:45	ga_ls9c_ard_3-2-1_094074_2024-04-21_nrt.stac-item
2024-04-21 09:41:09	ga_ls9c_ard_3-2-1_094075_2024-04-21_nrt.stac-item
2024-04-21 09:41:33	ga_ls9c_ard_3-2-1_094076_2024-04-21_nrt.stac-item
2024-04-21 09:42:21	ga_ls9c_ard_3-2-1_094078_2024-04-21_nrt.stac-item
2024-04-21 09:42:45	ga_ls9c_ard_3-2-1_094079_2024-04-21_nrt.stac-item
2024-04-21 09:43:09	ga_ls9c_ard_3-2-1_094080_2024-04-21_nrt.stac-item
2024-04-21 09:43:33	ga_ls9c_ard_3-2-1_094081_2024-04-21_nrt.stac-item
2024-04-21 09:43:57	ga_ls9c_ard_3-2-1_094082_2024-04-21_nrt.stac-item
2024-04-21 09:44:21	ga_ls9c_ard_3-2-1_094083_2024-04-21_nrt.stac-item
2024-04-21 09:44:45	ga_ls9c_ard_3-2-1_094084_2024-04-21_nrt.stac-item
2024-04-21 09:45:09	ga_ls9c_ard_3-2-1_094085_2024-04-21_nrt.stac-item
2024-04-21 09:45:33	ga_ls9c_ard_3-2-1_094086_2024-04-21_nrt.stac-item
2024-04-21 09:45:56	ga_ls9c_ard_3-2-1_094087_2024-04-21_nrt.stac-item
2024-04-21 11:17:38	ga_ls9c_ard_3-2-1_110069_2024-04-21_nrt.stac-item
2024-04-21 11:18:02	ga_ls9c_ard_3-2-1_110070_2024-04-21_nrt.stac-item
2024-04-21 11:18:26	ga_ls9c_ard_3-2-1_110071_2024-04-21_nrt.stac-item
2024-04-21 11:18:50	ga_ls9c_ard_3-2-1_110072_2024-04-21_nrt.stac-item
2024-04-21 11:19:14	ga_ls9c_ard_3-2-1_110073_2024-04-21_nrt.stac-item
2024-04-21 11:19:38	ga_ls9c_ard_3-2-1_110074_2024-04-21_nrt.stac-item
2024-04-21 11:20:02	ga_ls9c_ard_3-2-1_110075_2024-04-21_nrt.stac-item
2024-04-21 11:20:26	ga_ls9c_ard_3-2-1_110076_2024-04-21_nrt.stac-item
2024-04-21 11:20:50	ga_ls9c_ard_3-2-1_110077_2024-04-21_nrt.stac-item
2024-04-21 11:21:14	ga_ls9c_ard_3-2-1_110078_2024-04-21_nrt.stac-item
2024-04-21 11:21:38	ga_ls9c_ard_3-2-1_110079_2024-04-21_nrt.stac-item
2024-04-21 11:22:02	ga_ls9c_ard_3-2-1_110080_2024-04-21_nrt.stac-item
2024-04-21 11:22:26	ga_ls9c_ard_3-2-1_110081_2024-04-21_nrt.stac-item
2024-04-21 11:22:50	ga_ls9c_ard_3-2-1_110082_2024-04-21_nrt.stac-item
2024-04-21 11:23:14	ga_ls9c_ard_3-2-1_110083_2024-04-21_nrt.stac-item
2024-04-21 11:23:38	ga_ls9c_ard_3-2-1_110084_2024-04-21_nrt.stac-item
2024-04-21 11:24:01	ga_ls9c_ard_3-2-1_110085_2024-04-21_nrt.stac-item
2024-04-22 10:22:23	ga_ls9c_ard_3-2-1_101070_2024-04-22_nrt.stac-item
2024-04-22 10:22:47	ga_ls9c_ard_3-2-1_101071_2024-04-22_nrt.stac-item
2024-04-22 10:23:35	ga_ls9c_ard_3-2-1_101073_2024-04-22_nrt.stac-item
2024-04-22 10:24:22	ga_ls9c_ard_3-2-1_101075_2024-04-22_nrt.stac-item
2024-04-22 10:25:10	ga_ls9c_ard_3-2-1_101077_2024-04-22_nrt.stac-item
2024-04-22 10:25:34	ga_ls9c_ard_3-2-1_101078_2024-04-22_nrt.stac-item
2024-04-22 10:26:22	ga_ls9c_ard_3-2-1_101080_2024-04-22_nrt.stac-item
2024-04-22 10:26:46	ga_ls9c_ard_3-2-1_101081_2024-04-22_nrt.stac-item
2024-04-22 10:27:10	ga_ls9c_ard_3-2-1_101082_2024-04-22_nrt.stac-item
2024-04-22 10:27:34	ga_ls9c_ard_3-2-1_101083_2024-04-22_nrt.stac-item
2024-04-23 09:27:07	ga_ls9c_ard_3-2-1_092071_2024-04-22_nrt.stac-item
2024-04-23 09:27:31	ga_ls9c_ard_3-2-1_092072_2024-04-22_nrt.stac-item
2024-04-23 09:27:55	ga_ls9c_ard_3-2-1_092073_2024-04-22_nrt.stac-item
2024-04-23 09:28:19	ga_ls9c_ard_3-2-1_092074_2024-04-22_nrt.stac-item
2024-04-23 09:29:07	ga_ls9c_ard_3-2-1_092076_2024-04-22_nrt.stac-item
2024-04-23 09:29:31	ga_ls9c_ard_3-2-1_092077_2024-04-22_nrt.stac-item
2024-04-23 09:29:54	ga_ls9c_ard_3-2-1_092078_2024-04-22_nrt.stac-item
2024-04-23 09:31:06	ga_ls9c_ard_3-2-1_092081_2024-04-23_nrt.stac-item
2024-04-23 09:31:30	ga_ls9c_ard_3-2-1_092082_2024-04-23_nrt.stac-item
2024-04-23 09:31:54	ga_ls9c_ard_3-2-1_092083_2024-04-23_nrt.stac-item
2024-04-23 09:32:42	ga_ls9c_ard_3-2-1_092085_2024-04-23_nrt.stac-item
2024-04-23 09:33:30	ga_ls9c_ard_3-2-1_092087_2024-04-23_nrt.stac-item
2024-04-23 11:05:12	ga_ls9c_ard_3-2-1_108069_2024-04-23_nrt.stac-item
2024-04-23 11:05:36	ga_ls9c_ard_3-2-1_108070_2024-04-23_nrt.stac-item
2024-04-23 11:06:00	ga_ls9c_ard_3-2-1_108071_2024-04-23_nrt.stac-item
2024-04-23 11:06:24	ga_ls9c_ard_3-2-1_108072_2024-04-23_nrt.stac-item
2024-04-23 11:07:35	ga_ls9c_ard_3-2-1_108075_2024-04-23_nrt.stac-item
2024-04-23 11:08:23	ga_ls9c_ard_3-2-1_108077_2024-04-23_nrt.stac-item
2024-04-23 11:09:35	ga_ls9c_ard_3-2-1_108080_2024-04-23_nrt.stac-item
2024-04-23 11:10:23	ga_ls9c_ard_3-2-1_108082_2024-04-23_nrt.stac-item
2024-04-23 11:10:47	ga_ls9c_ard_3-2-1_108083_2024-04-23_nrt.stac-item
2024-04-24 11:51:13	ga_ls9c_ard_3-2-1_115076_2024-04-24_nrt.stac-item
2024-04-24 11:52:25	ga_ls9c_ard_3-2-1_115079_2024-04-24_nrt.stac-item
2024-04-26 10:02:47	ga_ls9c_ard_3-2-1_097083_2024-04-26_nrt.stac-item
2024-04-26 11:41:40	ga_ls9c_ard_3-2-1_113083_2024-04-26_nrt.stac-item
2024-04-27 09:05:58	ga_ls9c_ard_3-2-1_088080_2024-04-26_nrt.stac-item
2024-04-27 09:06:22	ga_ls9c_ard_3-2-1_088081_2024-04-26_nrt.stac-item
2024-04-27 09:06:46	ga_ls9c_ard_3-2-1_088082_2024-04-26_nrt.stac-item
2024-04-27 09:07:09	ga_ls9c_ard_3-2-1_088083_2024-04-26_nrt.stac-item
2024-04-27 10:40:03	ga_ls9c_ard_3-2-1_104068_2024-04-27_nrt.stac-item
2024-04-27 10:40:27	ga_ls9c_ard_3-2-1_104069_2024-04-27_nrt.stac-item
2024-04-27 10:40:51	ga_ls9c_ard_3-2-1_104070_2024-04-27_nrt.stac-item
2024-04-27 10:41:15	ga_ls9c_ard_3-2-1_104071_2024-04-27_nrt.stac-item
2024-04-27 10:42:03	ga_ls9c_ard_3-2-1_104073_2024-04-27_nrt.stac-item
2024-04-27 10:42:27	ga_ls9c_ard_3-2-1_104074_2024-04-27_nrt.stac-item
2024-04-27 10:43:15	ga_ls9c_ard_3-2-1_104076_2024-04-27_nrt.stac-item
2024-04-27 10:43:39	ga_ls9c_ard_3-2-1_104077_2024-04-27_nrt.stac-item
2024-04-27 10:44:03	ga_ls9c_ard_3-2-1_104078_2024-04-27_nrt.stac-item
2024-04-27 10:44:51	ga_ls9c_ard_3-2-1_104080_2024-04-27_nrt.stac-item
2024-04-27 10:45:15	ga_ls9c_ard_3-2-1_104081_2024-04-27_nrt.stac-item
2024-04-27 10:45:38	ga_ls9c_ard_3-2-1_104082_2024-04-27_nrt.stac-item
2024-04-30 09:33:15	ga_ls9c_ard_3-2-1_093071_2024-04-30_nrt.stac-item
2024-04-30 09:33:39	ga_ls9c_ard_3-2-1_093072_2024-04-30_nrt.stac-item
2024-04-30 09:34:03	ga_ls9c_ard_3-2-1_093073_2024-04-30_nrt.stac-item
2024-04-30 09:34:27	ga_ls9c_ard_3-2-1_093074_2024-04-30_nrt.stac-item
2024-04-30 09:34:51	ga_ls9c_ard_3-2-1_093075_2024-04-30_nrt.stac-item
2024-04-30 09:35:15	ga_ls9c_ard_3-2-1_093076_2024-04-30_nrt.stac-item
2024-04-30 09:35:39	ga_ls9c_ard_3-2-1_093077_2024-04-30_nrt.stac-item
2024-04-30 09:36:27	ga_ls9c_ard_3-2-1_093079_2024-04-30_nrt.stac-item
2024-04-30 09:36:51	ga_ls9c_ard_3-2-1_093080_2024-04-30_nrt.stac-item
2024-04-30 09:37:15	ga_ls9c_ard_3-2-1_093081_2024-04-30_nrt.stac-item
2024-04-30 09:38:03	ga_ls9c_ard_3-2-1_093083_2024-04-30_nrt.stac-item
2024-04-30 09:38:27	ga_ls9c_ard_3-2-1_093084_2024-04-30_nrt.stac-item
2024-04-30 09:38:51	ga_ls9c_ard_3-2-1_093085_2024-04-30_nrt.stac-item
2024-04-30 09:39:15	ga_ls9c_ard_3-2-1_093086_2024-04-30_nrt.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