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

92 results

Time (local)	Label
2021-11-13 10:03:53	ga_ls9c_ard_3-2-1_097085_2021-11-13_final.stac-item
2021-11-18 11:40:38	ga_ls9c_ard_3-2-1_113074_2021-11-18_final.stac-item
2021-12-07 09:52:10	ga_ls9c_ard_3-2-1_096070_2021-12-07_final.stac-item
2022-02-08 10:49:39	ga_ls9c_ard_3-2-1_105075_2022-02-08_final.stac-item
2022-02-12 10:27:42	ga_ls9c_ard_3-2-1_101082_2022-02-12_final.stac-item
2022-02-15 09:21:17	ga_ls9c_ard_3-2-1_090086_2022-02-14_final.stac-item
2022-02-26 10:35:55	ga_ls9c_ard_3-2-1_103072_2022-02-26_final.stac-item
2022-03-21 10:46:00	ga_ls9c_ard_3-2-1_104082_2022-03-21_final.stac-item
2022-03-23 10:28:27	ga_ls9c_ard_3-2-1_102069_2022-03-23_final.stac-item
2022-03-26 10:59:43	ga_ls9c_ard_3-2-1_107070_2022-03-26_final.stac-item
2022-04-26 11:57:56	ga_ls9c_ard_3-2-1_116077_2022-04-26_final.stac-item
2022-05-20 09:32:57	ga_ls9c_ard_3-2-1_092086_2022-05-20_final.stac-item
2022-06-02 10:33:47	ga_ls9c_ard_3-2-1_103068_2022-06-02_final.stac-item
2022-06-29 10:21:34	ga_ls9c_ard_3-2-1_100083_2022-06-29_final.stac-item
2022-07-08 11:52:15	ga_ls9c_ard_3-2-1_115078_2022-07-08_final.stac-item
2022-08-01 09:27:44	ga_ls9c_ard_3-2-1_091087_2022-07-31_final.stac-item
2022-08-02 10:07:01	ga_ls9c_ard_3-2-1_098077_2022-08-02_final.stac-item
2022-08-17 09:28:40	ga_ls9c_ard_3-2-1_091089_2022-08-16_final.stac-item
2022-09-02 09:22:19	ga_ls9c_ard_3-2-1_091073_2022-09-01_final.stac-item
2022-09-08 10:25:42	ga_ls9c_ard_3-2-1_101077_2022-09-08_final.stac-item
2022-10-04 09:28:01	ga_ls9c_ard_3-2-1_091087_2022-10-03_final.stac-item
2022-10-16 09:46:51	ga_ls9c_ard_3-2-1_095072_2022-10-16_final.stac-item
2022-10-21 10:05:24	ga_ls9c_ard_3-2-1_098072_2022-10-21_final.stac-item
2022-10-29 09:23:08	ga_ls9c_ard_3-2-1_090090_2022-10-28_final.stac-item
2022-10-30 09:58:00	ga_ls9c_ard_3-2-1_097069_2022-10-30_final.stac-item
2022-11-17 11:25:22	ga_ls9c_ard_3-2-1_111071_2022-11-17_final.stac-item
2022-11-25 10:36:18	ga_ls9c_ard_3-2-1_103072_2022-11-25_final.stac-item
2022-11-26 11:18:45	ga_ls9c_ard_3-2-1_110070_2022-11-26_final.stac-item
2022-11-28 11:06:23	ga_ls9c_ard_3-2-1_108070_2022-11-28_final.stac-item
2022-12-07 09:23:43	ga_ls9c_ard_3-2-1_091076_2022-12-06_final.stac-item
2022-12-16 09:19:56	ga_ls9c_ard_3-2-1_090082_2022-12-15_final.stac-item
2022-12-21 11:14:08	ga_ls9c_ard_3-2-1_109074_2022-12-21_final.stac-item
2022-12-25 09:13:43	ga_ls9c_ard_3-2-1_089082_2022-12-24_final.stac-item
2022-12-30 09:35:05	ga_ls9c_ard_3-2-1_092089_2022-12-30_final.stac-item
2023-01-07 10:22:09	ga_ls9c_ard_3-2-1_100083_2023-01-07_final.stac-item
2023-01-24 09:24:02	ga_ls9c_ard_3-2-1_091077_2023-01-23_final.stac-item
2023-02-04 09:07:14	ga_ls9c_ard_3-2-1_088081_2023-02-03_final.stac-item
2023-02-06 10:28:34	ga_ls9c_ard_3-2-1_102068_2023-02-06_final.stac-item
2023-02-20 10:46:23	ga_ls9c_ard_3-2-1_104082_2023-02-20_final.stac-item
2023-02-23 11:12:49	ga_ls9c_ard_3-2-1_109071_2023-02-23_final.stac-item
2023-03-08 10:42:35	ga_ls9c_ard_3-2-1_104073_2023-03-08_final.stac-item
2023-03-24 10:40:30	ga_ls9c_ard_3-2-1_104068_2023-03-24_final.stac-item
2023-04-14 09:21:56	ga_ls9c_ard_3-2-1_091073_2023-04-13_final.stac-item
2023-04-27 10:27:52	ga_ls9c_ard_3-2-1_102068_2023-04-27_final.stac-item
2023-04-28 11:11:30	ga_ls9c_ard_3-2-1_109069_2023-04-28_final.stac-item
2023-05-21 11:19:26	ga_ls9c_ard_3-2-1_110074_2023-05-21_final.stac-item
2023-05-25 09:20:58	ga_ls9c_ard_3-2-1_090087_2023-05-24_final.stac-item
2023-06-03 10:46:04	ga_ls9c_ard_3-2-1_105068_2023-06-03_final.stac-item
2023-06-15 11:17:02	ga_ls9c_ard_3-2-1_109084_2023-06-15_final.stac-item
2023-06-16 10:16:13	ga_ls9c_ard_3-2-1_100071_2023-06-16_final.stac-item
2023-06-22 11:18:26	ga_ls9c_ard_3-2-1_110072_2023-06-22_final.stac-item
2023-07-04 11:46:32	ga_ls9c_ard_3-2-1_114080_2023-07-04_final.stac-item
2023-07-08 11:18:40	ga_ls9c_ard_3-2-1_110072_2023-07-08_final.stac-item
2023-07-12 09:21:29	ga_ls9c_ard_3-2-1_090088_2023-07-11_final.stac-item
2023-07-17 09:33:15	ga_ls9c_ard_3-2-1_093071_2023-07-17_final.stac-item
2023-07-17 11:14:08	ga_ls9c_ard_3-2-1_109076_2023-07-17_final.stac-item
2023-07-20 10:02:33	ga_ls9c_ard_3-2-1_098067_2023-07-20_final.stac-item
2023-07-26 11:07:08	ga_ls9c_ard_3-2-1_108074_2023-07-26_final.stac-item
2023-07-29 09:57:13	ga_ls9c_ard_3-2-1_097069_2023-07-29_final.stac-item
2023-08-03 11:58:18	ga_ls9c_ard_3-2-1_116078_2023-08-03_final.stac-item
2023-08-08 10:35:36	ga_ls9c_ard_3-2-1_103072_2023-08-08_final.stac-item
2023-08-16 11:25:27	ga_ls9c_ard_3-2-1_111073_2023-08-16_final.stac-item
2023-08-28 10:15:50	ga_ls9c_ard_3-2-1_099084_2023-08-28_final.stac-item
2023-09-12 09:34:19	ga_ls9c_ard_3-2-1_092088_2023-09-12_final.stac-item
2023-09-17 09:46:53	ga_ls9c_ard_3-2-1_095073_2023-09-17_final.stac-item
2023-09-28 11:07:32	ga_ls9c_ard_3-2-1_108074_2023-09-28_final.stac-item
2023-10-03 11:24:34	ga_ls9c_ard_3-2-1_111070_2023-10-03_final.stac-item
2023-10-21 09:39:53	ga_ls9c_ard_3-2-1_093086_2023-10-21_final.stac-item
2023-10-23 09:29:07	ga_ls9c_ard_3-2-1_091090_2023-10-22_final.stac-item
2023-11-07 10:17:28	ga_ls9c_ard_3-2-1_100072_2023-11-07_final.stac-item
2023-11-08 11:01:56	ga_ls9c_ard_3-2-1_107075_2023-11-08_final.stac-item
2023-11-16 10:09:42	ga_ls9c_ard_3-2-1_099068_2023-11-16_final.stac-item
2023-11-23 10:19:59	ga_ls9c_ard_3-2-1_100078_2023-11-23_final.stac-item
2023-12-05 10:40:41	ga_ls9c_ard_3-2-1_104068_2023-12-05_final.stac-item
2023-12-17 11:06:40	ga_ls9c_ard_3-2-1_108071_2023-12-17_final.stac-item
2023-12-22 09:52:44	ga_ls9c_ard_3-2-1_095087_2023-12-22_final.stac-item
2023-12-24 09:35:35	ga_ls9c_ard_3-2-1_093075_2023-12-24_final.stac-item
2023-12-25 10:17:15	ga_ls9c_ard_3-2-1_100071_2023-12-25_final.stac-item
2023-12-27 11:46:57	ga_ls9c_ard_3-2-1_114079_2023-12-27_final.stac-item
2024-01-14 11:36:08	ga_ls9c_ard_3-2-1_112083_2024-01-14_final.stac-item
2024-01-22 10:40:40	ga_ls9c_ard_3-2-1_104068_2024-01-22_final.stac-item
2024-01-24 10:30:16	ga_ls9c_ard_3-2-1_102073_2024-01-24_final.stac-item
2024-01-26 10:19:08	ga_ls9c_ard_3-2-1_100076_2024-01-26_final.stac-item
2024-01-26 10:22:19	ga_ls9c_ard_3-2-1_100084_2024-01-26_final.stac-item
2024-01-29 09:11:35	ga_ls9c_ard_3-2-1_089077_2024-01-28_final.stac-item
2024-02-10 09:35:09	ga_ls9c_ard_3-2-1_093074_2024-02-10_final.stac-item
2024-02-18 10:27:40	ga_ls9c_ard_3-2-1_101082_2024-02-18_final.stac-item
2024-03-04 11:19:41	ga_ls9c_ard_3-2-1_110073_2024-03-04_final.stac-item
2024-03-20 09:40:46	ga_ls9c_ard_3-2-1_094073_2024-03-20_final.stac-item
2024-03-29 09:39:14	ga_ls9c_ard_3-2-1_093085_2024-03-29_final.stac-item
2024-04-10 09:57:32	ga_ls9c_ard_3-2-1_097069_2024-04-10_final.stac-item
2024-04-16 11:01:14	ga_ls9c_ard_3-2-1_107074_2024-04-16_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