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
2021-11-07 09:19:04	ga_ls9c_ard_3-2-1_090079_2021-11-06_final.stac-item
2021-11-17 09:21:41	ga_ls9c_ard_3-2-1_091073_2021-11-16_final.stac-item
2021-11-22 09:25:40	ga_ls9c_ard_3-2-1_091077_2021-11-21_final.stac-item
2021-12-11 09:28:36	ga_ls9c_ard_3-2-1_092073_2021-12-10_final.stac-item
2021-12-27 09:28:33	ga_ls9c_ard_3-2-1_092073_2021-12-26_final.stac-item
2021-12-29 09:18:35	ga_ls9c_ard_3-2-1_090079_2021-12-28_final.stac-item
2022-01-05 09:23:57	ga_ls9c_ard_3-2-1_091077_2022-01-04_final.stac-item
2022-01-12 09:28:30	ga_ls9c_ard_3-2-1_092073_2022-01-11_final.stac-item
2022-01-14 09:18:31	ga_ls9c_ard_3-2-1_090079_2022-01-13_final.stac-item
2022-01-21 09:23:56	ga_ls9c_ard_3-2-1_091077_2022-01-20_final.stac-item
2022-01-28 09:28:32	ga_ls9c_ard_3-2-1_092073_2022-01-27_final.stac-item
2022-01-30 09:18:34	ga_ls9c_ard_3-2-1_090079_2022-01-29_final.stac-item
2022-02-06 09:23:56	ga_ls9c_ard_3-2-1_091077_2022-02-05_final.stac-item
2022-02-13 09:28:29	ga_ls9c_ard_3-2-1_092073_2022-02-12_final.stac-item
2022-02-15 09:18:30	ga_ls9c_ard_3-2-1_090079_2022-02-14_final.stac-item
2022-02-22 09:23:48	ga_ls9c_ard_3-2-1_091077_2022-02-21_final.stac-item
2022-03-01 09:28:17	ga_ls9c_ard_3-2-1_092073_2022-02-28_final.stac-item
2022-03-03 09:18:19	ga_ls9c_ard_3-2-1_090079_2022-03-02_final.stac-item
2022-03-10 09:23:42	ga_ls9c_ard_3-2-1_091077_2022-03-09_final.stac-item
2022-03-26 09:23:38	ga_ls9c_ard_3-2-1_091077_2022-03-25_final.stac-item
2022-04-02 09:28:12	ga_ls9c_ard_3-2-1_092073_2022-04-01_final.stac-item
2022-04-04 09:18:14	ga_ls9c_ard_3-2-1_090079_2022-04-03_final.stac-item
2022-04-18 09:28:04	ga_ls9c_ard_3-2-1_092073_2022-04-17_final.stac-item
2022-04-20 09:18:04	ga_ls9c_ard_3-2-1_090079_2022-04-19_final.stac-item
2022-05-04 09:27:59	ga_ls9c_ard_3-2-1_092073_2022-05-03_final.stac-item
2022-05-06 09:18:00	ga_ls9c_ard_3-2-1_090079_2022-05-05_final.stac-item
2022-05-13 09:23:18	ga_ls9c_ard_3-2-1_091077_2022-05-12_final.stac-item
2022-05-20 09:27:46	ga_ls9c_ard_3-2-1_092073_2022-05-19_final.stac-item
2022-05-22 09:17:48	ga_ls9c_ard_3-2-1_090079_2022-05-21_final.stac-item
2022-05-29 09:23:12	ga_ls9c_ard_3-2-1_091077_2022-05-28_final.stac-item
2022-06-05 09:27:48	ga_ls9c_ard_3-2-1_092073_2022-06-04_final.stac-item
2022-06-07 09:17:50	ga_ls9c_ard_3-2-1_090079_2022-06-06_final.stac-item
2022-06-14 09:23:17	ga_ls9c_ard_3-2-1_091077_2022-06-13_final.stac-item
2022-06-21 09:28:01	ga_ls9c_ard_3-2-1_092073_2022-06-20_final.stac-item
2022-06-23 09:18:08	ga_ls9c_ard_3-2-1_090079_2022-06-22_final.stac-item
2022-06-30 09:23:33	ga_ls9c_ard_3-2-1_091077_2022-06-29_final.stac-item
2022-07-07 09:28:07	ga_ls9c_ard_3-2-1_092073_2022-07-06_final.stac-item
2022-07-09 09:18:08	ga_ls9c_ard_3-2-1_090079_2022-07-08_final.stac-item
2022-07-23 09:28:12	ga_ls9c_ard_3-2-1_092073_2022-07-22_final.stac-item
2022-07-25 09:18:16	ga_ls9c_ard_3-2-1_090079_2022-07-24_final.stac-item
2022-08-08 09:28:24	ga_ls9c_ard_3-2-1_092073_2022-08-07_final.stac-item
2022-08-10 09:18:27	ga_ls9c_ard_3-2-1_090079_2022-08-09_final.stac-item
2022-08-24 09:28:29	ga_ls9c_ard_3-2-1_092073_2022-08-23_final.stac-item
2022-08-26 09:18:32	ga_ls9c_ard_3-2-1_090079_2022-08-25_final.stac-item
2022-09-09 09:28:29	ga_ls9c_ard_3-2-1_092073_2022-09-08_final.stac-item
2022-09-25 09:28:37	ga_ls9c_ard_3-2-1_092073_2022-09-24_final.stac-item
2022-09-27 09:18:39	ga_ls9c_ard_3-2-1_090079_2022-09-26_final.stac-item
2022-10-04 09:24:02	ga_ls9c_ard_3-2-1_091077_2022-10-03_final.stac-item
2022-10-11 09:28:40	ga_ls9c_ard_3-2-1_092073_2022-10-10_final.stac-item
2022-10-20 09:24:08	ga_ls9c_ard_3-2-1_091077_2022-10-19_final.stac-item
2022-10-27 09:28:43	ga_ls9c_ard_3-2-1_092073_2022-10-26_final.stac-item
2022-11-05 09:24:05	ga_ls9c_ard_3-2-1_091077_2022-11-04_final.stac-item
2022-11-12 09:28:44	ga_ls9c_ard_3-2-1_092073_2022-11-11_final.stac-item
2022-11-14 09:18:46	ga_ls9c_ard_3-2-1_090079_2022-11-13_final.stac-item
2022-11-21 09:24:09	ga_ls9c_ard_3-2-1_091077_2022-11-20_final.stac-item
2022-11-28 09:28:42	ga_ls9c_ard_3-2-1_092073_2022-11-27_final.stac-item
2022-12-07 09:24:07	ga_ls9c_ard_3-2-1_091077_2022-12-06_nrt.stac-item
2022-12-14 09:28:43	ga_ls9c_ard_3-2-1_092073_2022-12-13_final.stac-item
2022-12-16 09:18:44	ga_ls9c_ard_3-2-1_090079_2022-12-15_final.stac-item
2022-12-23 09:24:04	ga_ls9c_ard_3-2-1_091077_2022-12-22_final.stac-item
2022-12-30 09:28:42	ga_ls9c_ard_3-2-1_092073_2022-12-29_final.stac-item
2023-01-15 09:28:39	ga_ls9c_ard_3-2-1_092073_2023-01-14_final.stac-item
2023-01-31 09:28:43	ga_ls9c_ard_3-2-1_092073_2023-01-30_final.stac-item
2023-02-02 09:18:46	ga_ls9c_ard_3-2-1_090079_2023-02-01_final.stac-item
2023-02-09 09:24:11	ga_ls9c_ard_3-2-1_091077_2023-02-08_final.stac-item
2023-02-16 09:28:43	ga_ls9c_ard_3-2-1_092073_2023-02-15_final.stac-item
2023-02-18 09:18:42	ga_ls9c_ard_3-2-1_090079_2023-02-17_final.stac-item
2023-03-04 09:28:30	ga_ls9c_ard_3-2-1_092073_2023-03-03_final.stac-item
2023-03-20 09:28:23	ga_ls9c_ard_3-2-1_092073_2023-03-19_final.stac-item
2023-03-22 09:18:24	ga_ls9c_ard_3-2-1_090079_2023-03-21_final.stac-item
2023-04-05 09:28:13	ga_ls9c_ard_3-2-1_092073_2023-04-04_final.stac-item
2023-04-14 09:23:32	ga_ls9c_ard_3-2-1_091077_2023-04-13_final.stac-item
2023-04-21 09:28:07	ga_ls9c_ard_3-2-1_092073_2023-04-20_final.stac-item
2023-04-23 09:18:08	ga_ls9c_ard_3-2-1_090079_2023-04-22_final.stac-item
2023-04-30 09:23:25	ga_ls9c_ard_3-2-1_091077_2023-04-29_final.stac-item
2023-05-07 09:27:55	ga_ls9c_ard_3-2-1_092073_2023-05-06_final.stac-item
2023-05-09 09:17:57	ga_ls9c_ard_3-2-1_090079_2023-05-08_final.stac-item
2023-05-16 09:23:17	ga_ls9c_ard_3-2-1_091077_2023-05-15_final.stac-item
2023-05-23 09:27:46	ga_ls9c_ard_3-2-1_092073_2023-05-22_final.stac-item
2023-05-25 09:17:46	ga_ls9c_ard_3-2-1_090079_2023-05-24_final.stac-item
2023-06-01 09:23:09	ga_ls9c_ard_3-2-1_091077_2023-05-31_final.stac-item
2023-06-08 09:27:41	ga_ls9c_ard_3-2-1_092073_2023-06-07_final.stac-item
2023-06-17 09:23:00	ga_ls9c_ard_3-2-1_091077_2023-06-16_final.stac-item
2023-06-24 09:27:35	ga_ls9c_ard_3-2-1_092073_2023-06-23_final.stac-item
2023-06-26 09:17:37	ga_ls9c_ard_3-2-1_090079_2023-06-25_final.stac-item
2023-07-03 09:23:11	ga_ls9c_ard_3-2-1_091077_2023-07-02_final.stac-item
2023-07-10 09:27:50	ga_ls9c_ard_3-2-1_092073_2023-07-09_final.stac-item
2023-07-26 09:27:51	ga_ls9c_ard_3-2-1_092073_2023-07-25_final.stac-item
2023-09-12 09:28:19	ga_ls9c_ard_3-2-1_092073_2023-09-11_final.stac-item
2023-09-28 09:28:15	ga_ls9c_ard_3-2-1_092073_2023-09-27_final.stac-item
2023-10-14 09:28:29	ga_ls9c_ard_3-2-1_092073_2023-10-13_final.stac-item
2023-10-30 09:28:26	ga_ls9c_ard_3-2-1_092073_2023-10-29_final.stac-item
2023-11-15 09:28:26	ga_ls9c_ard_3-2-1_092073_2023-11-14_final.stac-item
2023-12-01 09:28:34	ga_ls9c_ard_3-2-1_092073_2023-11-30_final.stac-item
2023-12-17 09:28:35	ga_ls9c_ard_3-2-1_092073_2023-12-16_final.stac-item
2024-01-02 09:28:32	ga_ls9c_ard_3-2-1_092073_2024-01-01_final.stac-item
2024-01-18 09:28:32	ga_ls9c_ard_3-2-1_092073_2024-01-17_final.stac-item
2024-02-03 09:28:34	ga_ls9c_ard_3-2-1_092073_2024-02-02_final.stac-item
2024-03-22 09:28:24	ga_ls9c_ard_3-2-1_092073_2024-03-21_final.stac-item
2024-04-07 09:28:15	ga_ls9c_ard_3-2-1_092073_2024-04-06_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