Search ga_s2bm_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 (e.g. ‘epsg:32654’) :

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):

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:

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 Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JKM_2017-07-04_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51JUN_2018-01-14_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JML_2018-01-17_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JVH_2018-02-07_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JVH_2018-02-17_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51HXE_2018-03-26_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51JTH_2018-04-01_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JKM_2018-04-10_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51HYD_2018-04-15_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JYK_2018-06-07_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HVE_2018-08-09_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HNH_2018-10-01_final
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_51HXD_2018-10-02_final
2018-11-01 11:14:12	ga_s2bm_ard_3-2-1_51JYF_2018-11-01_final
2018-11-10 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2018-11-10_final
2018-11-23 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2018-11-23_final
2018-12-06 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2018-12-06_final
2019-01-15 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2019-01-15_final
2019-01-16 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2019-01-16_final
2019-01-28 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-01-28_final
2019-03-24 11:24:59	ga_s2bm_ard_3-2-1_51JWL_2019-03-24_final
2019-04-09 11:43:37	ga_s2bm_ard_3-2-1_50KRB_2019-04-09_final
2019-04-19 11:43:31	ga_s2bm_ard_3-2-1_51KVS_2019-04-19_final
2019-06-11 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2019-06-11_final
2019-06-21 11:56:26	ga_s2bm_ard_3-2-1_50JNL_2019-06-21_final
2019-06-25 11:33:10	ga_s2bm_ard_3-2-1_51KVU_2019-06-25_final
2019-07-04 12:05:29	ga_s2bm_ard_3-2-1_49JGL_2019-07-04_final
2019-09-16 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2019-09-16_final
2019-10-06 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2019-10-06_final
2019-11-01 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-11-01_final
2019-11-12 11:36:17	ga_s2bm_ard_3-2-1_51HVE_2019-11-12_final
2020-03-21 11:35:10	ga_s2bm_ard_3-2-1_51JVK_2020-03-21_final
2020-04-27 11:26:13	ga_s2bm_ard_3-2-1_51JUF_2020-04-27_final
2020-04-30 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2020-04-30_final
2020-05-06 11:55:32	ga_s2bm_ard_3-2-1_50JNP_2020-05-06_final
2020-05-19 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2020-05-19_final
2020-05-30 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2020-05-30_final
2020-08-07 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-08-07_final
2020-08-11 11:45:46	ga_s2bm_ard_3-2-1_50JPP_2020-08-11_final
2020-08-14 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2020-08-14_final
2020-09-06 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2020-09-06_final
2020-09-20 11:45:48	ga_s2bm_ard_3-2-1_51JTH_2020-09-20_final
2020-12-05 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2020-12-05_final
2020-12-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2020-12-06_final
2020-12-10 11:15:22	ga_s2bm_ard_3-2-1_51JYJ_2020-12-10_final
2021-01-02 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2021-01-02_final
2021-02-03 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-02-03_final
2021-03-02 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-03-02_final
2021-03-12 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2021-03-12_final
2021-03-25 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-03-25_final
2021-04-11 11:56:19	ga_s2bm_ard_3-2-1_50JML_2021-04-11_final
2021-04-11 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2021-04-11_final
2021-04-22 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2021-04-22_final
2021-06-11 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2021-06-11_final
2021-06-14 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2021-06-14_final
2021-06-17 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2021-06-17_final
2021-06-21 11:24:23	ga_s2bm_ard_3-2-1_51JYN_2021-06-21_final
2021-07-07 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-07-07_final.stac-item
2021-07-13 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-07-13_final
2021-07-21 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2021-07-21_final
2021-08-29 11:55:36	ga_s2bm_ard_3-2-1_50JMP_2021-08-29_final
2021-10-05 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2021-10-05_final
2021-10-05 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-10-05_final
2021-11-21 11:36:00	ga_s2bm_ard_3-2-1_51JTG_2021-11-21_final
2021-12-21 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2021-12-21_final
2022-02-02 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-02-02_final
2022-02-12 11:45:12	ga_s2bm_ard_3-2-1_50JQQ_2022-02-12_final
2022-02-18 12:03:17	ga_s2bm_ard_3-2-1_50KMC_2022-02-18_final
2022-03-28 11:24:48	ga_s2bm_ard_3-2-1_51JYL_2022-03-28_final
2022-03-28 11:25:57	ga_s2bm_ard_3-2-1_51JVG_2022-03-28_final
2022-05-17 11:24:22	ga_s2bm_ard_3-2-1_51JYN_2022-05-17_final
2022-05-20 11:35:59	ga_s2bm_ard_3-2-1_51JUG_2022-05-20_final
2022-05-30 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2022-05-30_final
2022-08-01 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2022-08-01_final
2022-08-01 11:45:41	ga_s2bm_ard_3-2-1_50JPP_2022-08-01_final.stac-item
2022-08-21 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2022-08-21_final
2022-09-03 13:31:40	ga_s2bm_ard_3-2-1_46LHM_2022-09-03_interim.stac-item
2022-09-04 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2022-09-04_final.stac-item
2022-10-27 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-10-27_final.stac-item
2022-10-30 11:45:20	ga_s2bm_ard_3-2-1_50JPQ_2022-10-30_final.stac-item
2023-01-18 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2023-01-18_final.stac-item
2023-02-24 11:35:34	ga_s2bm_ard_3-2-1_51JTJ_2023-02-24_final.stac-item
2023-03-09 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-03-09_final.stac-item
2023-03-25 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-03-25_final.stac-item
2023-04-11 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2023-04-11_final.stac-item
2023-04-19 11:15:41	ga_s2bm_ard_3-2-1_51JYH_2023-04-19_final.stac-item
2023-04-19 12:51:02	ga_s2bm_ard_3-2-1_48LWP_2023-04-19_final.stac-item
2023-05-31 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-05-31_final.stac-item
2023-06-01 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2023-06-01_final.stac-item
2023-07-21 11:26:03	ga_s2bm_ard_3-2-1_51JWG_2023-07-21_final.stac-item
2023-08-13 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2023-08-13_final.stac-item
2023-09-12 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2023-09-12_final.stac-item
2023-12-08 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2023-12-08_final.stac-item
2024-02-22 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2024-02-22_final.stac-item
2024-02-26 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2024-02-26_final.stac-item
2024-04-12 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2024-04-12_final.stac-item
2024-04-12 11:45:29	ga_s2bm_ard_3-2-1_51JTJ_2024-04-12_final.stac-item
2024-04-13 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2024-04-13_final.stac-item
2024-05-29 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2024-05-29_nrt.stac-item
2024-06-08 11:36:35	ga_s2bm_ard_3-2-1_51HTE_2024-06-08_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years