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
2023-09-05 09:24:51	ga_ls9c_ard_3-2-1_091080_2023-09-04_final.stac-item
2023-09-05 09:25:15	ga_ls9c_ard_3-2-1_091081_2023-09-04_final.stac-item
2023-09-05 09:25:39	ga_ls9c_ard_3-2-1_091082_2023-09-04_final.stac-item
2023-09-05 09:26:03	ga_ls9c_ard_3-2-1_091083_2023-09-04_final.stac-item
2023-09-05 09:26:27	ga_ls9c_ard_3-2-1_091084_2023-09-04_final.stac-item
2023-09-05 09:26:51	ga_ls9c_ard_3-2-1_091085_2023-09-04_final.stac-item
2023-09-05 09:27:15	ga_ls9c_ard_3-2-1_091086_2023-09-04_final.stac-item
2023-09-05 09:27:39	ga_ls9c_ard_3-2-1_091087_2023-09-04_final.stac-item
2023-09-05 09:28:03	ga_ls9c_ard_3-2-1_091088_2023-09-04_final.stac-item
2023-09-05 09:28:27	ga_ls9c_ard_3-2-1_091089_2023-09-04_final.stac-item
2023-09-05 09:28:51	ga_ls9c_ard_3-2-1_091090_2023-09-04_final.stac-item
2023-09-07 09:16:07	ga_ls9c_ard_3-2-1_089089_2023-09-06_final.stac-item
2023-09-07 09:16:31	ga_ls9c_ard_3-2-1_089090_2023-09-06_final.stac-item
2023-09-08 09:51:49	ga_ls9c_ard_3-2-1_096070_2023-09-08_final.stac-item
2023-09-08 09:52:12	ga_ls9c_ard_3-2-1_096071_2023-09-08_final.stac-item
2023-09-08 09:52:36	ga_ls9c_ard_3-2-1_096072_2023-09-08_final.stac-item
2023-09-08 09:53:00	ga_ls9c_ard_3-2-1_096073_2023-09-08_final.stac-item
2023-09-08 09:53:24	ga_ls9c_ard_3-2-1_096074_2023-09-08_final.stac-item
2023-09-10 09:39:52	ga_ls9c_ard_3-2-1_094071_2023-09-10_final.stac-item
2023-09-10 09:40:16	ga_ls9c_ard_3-2-1_094072_2023-09-10_final.stac-item
2023-09-10 09:40:40	ga_ls9c_ard_3-2-1_094073_2023-09-10_final.stac-item
2023-09-10 09:41:04	ga_ls9c_ard_3-2-1_094074_2023-09-10_final.stac-item
2023-09-10 09:41:28	ga_ls9c_ard_3-2-1_094075_2023-09-10_final.stac-item
2023-09-10 09:41:52	ga_ls9c_ard_3-2-1_094076_2023-09-10_final.stac-item
2023-09-10 09:42:16	ga_ls9c_ard_3-2-1_094077_2023-09-10_final.stac-item
2023-09-10 09:42:40	ga_ls9c_ard_3-2-1_094078_2023-09-10_final.stac-item
2023-09-10 09:43:04	ga_ls9c_ard_3-2-1_094079_2023-09-10_final.stac-item
2023-09-10 09:43:28	ga_ls9c_ard_3-2-1_094080_2023-09-10_final.stac-item
2023-09-10 09:43:52	ga_ls9c_ard_3-2-1_094081_2023-09-10_final.stac-item
2023-09-10 09:44:16	ga_ls9c_ard_3-2-1_094082_2023-09-10_final.stac-item
2023-09-10 09:44:39	ga_ls9c_ard_3-2-1_094083_2023-09-10_final.stac-item
2023-09-12 09:29:31	ga_ls9c_ard_3-2-1_092076_2023-09-11_final.stac-item
2023-09-12 09:29:55	ga_ls9c_ard_3-2-1_092077_2023-09-11_final.stac-item
2023-09-12 09:30:19	ga_ls9c_ard_3-2-1_092078_2023-09-12_final.stac-item
2023-09-12 09:30:43	ga_ls9c_ard_3-2-1_092079_2023-09-12_final.stac-item
2023-09-12 09:31:07	ga_ls9c_ard_3-2-1_092080_2023-09-12_final.stac-item
2023-09-12 09:31:31	ga_ls9c_ard_3-2-1_092081_2023-09-12_final.stac-item
2023-09-12 09:31:55	ga_ls9c_ard_3-2-1_092082_2023-09-12_final.stac-item
2023-09-12 09:32:19	ga_ls9c_ard_3-2-1_092083_2023-09-12_final.stac-item
2023-09-12 09:32:43	ga_ls9c_ard_3-2-1_092084_2023-09-12_final.stac-item
2023-09-12 09:33:07	ga_ls9c_ard_3-2-1_092085_2023-09-12_final.stac-item
2023-09-12 09:33:31	ga_ls9c_ard_3-2-1_092086_2023-09-12_final.stac-item
2023-09-12 09:33:55	ga_ls9c_ard_3-2-1_092087_2023-09-12_final.stac-item
2023-09-12 09:34:19	ga_ls9c_ard_3-2-1_092088_2023-09-12_final.stac-item
2023-09-12 09:34:43	ga_ls9c_ard_3-2-1_092089_2023-09-12_final.stac-item
2023-09-12 09:35:07	ga_ls9c_ard_3-2-1_092090_2023-09-12_final.stac-item
2023-09-14 09:20:22	ga_ls9c_ard_3-2-1_090084_2023-09-13_final.stac-item
2023-09-14 09:20:46	ga_ls9c_ard_3-2-1_090085_2023-09-13_final.stac-item
2023-09-14 09:21:10	ga_ls9c_ard_3-2-1_090086_2023-09-13_final.stac-item
2023-09-14 09:21:34	ga_ls9c_ard_3-2-1_090087_2023-09-13_final.stac-item
2023-09-14 09:21:58	ga_ls9c_ard_3-2-1_090088_2023-09-13_final.stac-item
2023-09-14 09:22:22	ga_ls9c_ard_3-2-1_090089_2023-09-13_final.stac-item
2023-09-14 09:22:46	ga_ls9c_ard_3-2-1_090090_2023-09-13_final.stac-item
2023-09-17 09:46:05	ga_ls9c_ard_3-2-1_095071_2023-09-17_final.stac-item
2023-09-17 09:46:29	ga_ls9c_ard_3-2-1_095072_2023-09-17_final.stac-item
2023-09-17 09:46:53	ga_ls9c_ard_3-2-1_095073_2023-09-17_final.stac-item
2023-09-17 09:47:17	ga_ls9c_ard_3-2-1_095074_2023-09-17_final.stac-item
2023-09-17 09:47:41	ga_ls9c_ard_3-2-1_095075_2023-09-17_final.stac-item
2023-09-17 09:48:05	ga_ls9c_ard_3-2-1_095076_2023-09-17_final.stac-item
2023-09-17 09:48:29	ga_ls9c_ard_3-2-1_095077_2023-09-17_final.stac-item
2023-09-17 09:48:53	ga_ls9c_ard_3-2-1_095078_2023-09-17_final.stac-item
2023-09-17 09:49:17	ga_ls9c_ard_3-2-1_095079_2023-09-17_final.stac-item
2023-09-23 09:16:10	ga_ls9c_ard_3-2-1_089089_2023-09-22_final.stac-item
2023-09-23 09:16:34	ga_ls9c_ard_3-2-1_089090_2023-09-22_final.stac-item
2023-09-26 09:39:51	ga_ls9c_ard_3-2-1_094071_2023-09-26_final.stac-item
2023-09-26 09:40:14	ga_ls9c_ard_3-2-1_094072_2023-09-26_final.stac-item
2023-09-26 09:40:38	ga_ls9c_ard_3-2-1_094073_2023-09-26_final.stac-item
2023-09-26 09:41:02	ga_ls9c_ard_3-2-1_094074_2023-09-26_final.stac-item
2023-09-26 09:41:26	ga_ls9c_ard_3-2-1_094075_2023-09-26_final.stac-item
2023-09-26 09:41:50	ga_ls9c_ard_3-2-1_094076_2023-09-26_final.stac-item
2023-09-26 09:42:14	ga_ls9c_ard_3-2-1_094077_2023-09-26_final.stac-item
2023-09-26 09:42:38	ga_ls9c_ard_3-2-1_094078_2023-09-26_final.stac-item
2023-09-26 09:43:02	ga_ls9c_ard_3-2-1_094079_2023-09-26_final.stac-item
2023-09-26 09:43:26	ga_ls9c_ard_3-2-1_094080_2023-09-26_final.stac-item
2023-09-26 09:43:50	ga_ls9c_ard_3-2-1_094081_2023-09-26_final.stac-item
2023-09-26 09:44:14	ga_ls9c_ard_3-2-1_094082_2023-09-26_final.stac-item
2023-09-26 09:44:38	ga_ls9c_ard_3-2-1_094083_2023-09-26_final.stac-item
2023-09-28 09:29:27	ga_ls9c_ard_3-2-1_092076_2023-09-27_final.stac-item
2023-09-28 09:29:51	ga_ls9c_ard_3-2-1_092077_2023-09-27_final.stac-item
2023-09-28 09:30:15	ga_ls9c_ard_3-2-1_092078_2023-09-28_final.stac-item
2023-09-28 09:30:39	ga_ls9c_ard_3-2-1_092079_2023-09-28_final.stac-item
2023-09-28 09:31:03	ga_ls9c_ard_3-2-1_092080_2023-09-28_final.stac-item
2023-09-28 09:31:27	ga_ls9c_ard_3-2-1_092081_2023-09-28_final.stac-item
2023-09-28 09:31:51	ga_ls9c_ard_3-2-1_092082_2023-09-28_final.stac-item
2023-09-28 09:32:15	ga_ls9c_ard_3-2-1_092083_2023-09-28_final.stac-item
2023-09-28 09:32:38	ga_ls9c_ard_3-2-1_092084_2023-09-28_final.stac-item
2023-09-28 09:33:02	ga_ls9c_ard_3-2-1_092085_2023-09-28_final.stac-item
2023-09-28 09:33:26	ga_ls9c_ard_3-2-1_092086_2023-09-28_final.stac-item
2023-09-28 09:33:50	ga_ls9c_ard_3-2-1_092087_2023-09-28_final.stac-item
2023-09-28 09:34:14	ga_ls9c_ard_3-2-1_092088_2023-09-28_final.stac-item
2023-09-28 09:34:38	ga_ls9c_ard_3-2-1_092089_2023-09-28_final.stac-item
2023-09-28 09:35:02	ga_ls9c_ard_3-2-1_092090_2023-09-28_final.stac-item
2023-10-03 09:46:05	ga_ls9c_ard_3-2-1_095071_2023-10-03_final.stac-item
2023-10-03 09:46:29	ga_ls9c_ard_3-2-1_095072_2023-10-03_final.stac-item
2023-10-03 09:46:53	ga_ls9c_ard_3-2-1_095073_2023-10-03_final.stac-item
2023-10-03 09:47:17	ga_ls9c_ard_3-2-1_095074_2023-10-03_final.stac-item
2023-10-03 09:47:41	ga_ls9c_ard_3-2-1_095075_2023-10-03_final.stac-item
2023-10-03 09:48:05	ga_ls9c_ard_3-2-1_095076_2023-10-03_final.stac-item
2023-10-03 09:48:29	ga_ls9c_ard_3-2-1_095077_2023-10-03_final.stac-item
2023-10-03 09:48:53	ga_ls9c_ard_3-2-1_095078_2023-10-03_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