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
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53JPM_2017-07-07_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51JUM_2017-12-05_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JFQ_2017-12-13_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KMA_2018-01-07_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVA_2018-01-14_final
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53KKV_2018-01-29_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JES_2018-02-01_final
2018-02-21 11:02:40	ga_s2bm_ard_3-2-1_52HBK_2018-02-21_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_53KMS_2018-03-10_final
2018-03-14 10:27:00	ga_s2bm_ard_3-2-1_53JPN_2018-03-14_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51JUH_2018-04-01_final
2018-05-04 09:57:06	ga_s2bm_ard_3-2-1_54HYD_2018-05-04_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51JYG_2018-08-23_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JPN_2018-09-03_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HVC_2018-10-15_final
2018-10-29 11:01:40	ga_s2bm_ard_3-2-1_52KGV_2018-10-29_final
2018-11-26 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2018-11-26_final
2018-12-17 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2018-12-17_final
2019-06-22 11:23:36	ga_s2bm_ard_3-2-1_51KXS_2019-06-22_final
2019-07-01 11:56:26	ga_s2bm_ard_3-2-1_50JNL_2019-07-01_final
2019-07-05 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-07-05_final
2019-08-16 10:36:35	ga_s2bm_ard_3-2-1_53HLD_2019-08-16_final
2019-08-24 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2019-08-24_final
2019-09-13 09:58:06	ga_s2bm_ard_3-2-1_54GYA_2019-09-13_final
2019-12-23 11:01:55	ga_s2bm_ard_3-2-1_52KGG_2019-12-23_final
2020-01-22 11:00:48	ga_s2bm_ard_3-2-1_53LLF_2020-01-22_final
2020-01-24 10:07:30	ga_s2bm_ard_3-2-1_54HXC_2020-01-24_final
2020-02-11 11:00:31	ga_s2bm_ard_3-2-1_53LMG_2020-02-11_final
2020-02-28 10:52:57	ga_s2bm_ard_3-2-1_52KHC_2020-02-28_final
2020-03-03 10:33:18	ga_s2bm_ard_3-2-1_53KQR_2020-03-03_final
2020-03-15 11:15:45	ga_s2bm_ard_3-2-1_52JCM_2020-03-15_final
2020-04-16 11:54:47	ga_s2bm_ard_3-2-1_50JNS_2020-04-16_final
2020-04-26 10:16:34	ga_s2bm_ard_3-2-1_54HWG_2020-04-26_final
2020-04-29 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2020-04-29_final
2020-05-20 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2020-05-20_final
2020-06-18 12:04:13	ga_s2bm_ard_3-2-1_50KLV_2020-06-18_final
2020-07-19 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2020-07-19_final
2020-08-21 10:06:27	ga_s2bm_ard_3-2-1_54HXH_2020-08-21_final
2020-10-30 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2020-10-30_final
2020-11-16 09:57:41	ga_s2bm_ard_3-2-1_54HXC_2020-11-16_final
2020-11-23 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2020-11-23_final
2020-12-16 11:35:37	ga_s2bm_ard_3-2-1_51JVH_2020-12-16_final
2020-12-26 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2020-12-26_final
2020-12-29 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2020-12-29_final
2021-03-21 10:44:38	ga_s2bm_ard_3-2-1_53JML_2021-03-21_final
2021-03-27 11:03:52	ga_s2bm_ard_3-2-1_52KDV_2021-03-27_final
2021-06-03 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2021-06-03_final
2021-06-04 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2021-06-04_final
2021-06-21 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2021-06-21_final
2021-07-14 09:57:24	ga_s2bm_ard_3-2-1_54HYD_2021-07-14_final
2021-07-26 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2021-07-26_final
2021-10-24 10:36:33	ga_s2bm_ard_3-2-1_53HPC_2021-10-24_final
2021-11-04 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2021-11-04_final
2021-11-10 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-11-10_final
2021-11-14 10:07:10	ga_s2bm_ard_3-2-1_54HWE_2021-11-14_final
2021-11-14 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2021-11-14_final
2021-11-28 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2021-11-28_final
2021-12-02 11:05:55	ga_s2bm_ard_3-2-1_52JEL_2021-12-02_final
2021-12-07 10:16:29	ga_s2bm_ard_3-2-1_54HTH_2021-12-07_final
2022-01-17 11:22:04	ga_s2bm_ard_3-2-1_51KZB_2022-01-17_final
2022-01-19 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2022-01-19_final
2022-01-27 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2022-01-27_final
2022-01-31 11:06:31	ga_s2bm_ard_3-2-1_51HYD_2022-01-31_final
2022-02-12 11:43:05	ga_s2bm_ard_3-2-1_51KVT_2022-02-12_final
2022-03-01 11:31:35	ga_s2bm_ard_3-2-1_51LYD_2022-03-01_final
2022-03-21 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-03-21_final
2022-04-25 10:42:01	ga_s2bm_ard_3-2-1_53KPA_2022-04-25_final
2022-04-27 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2022-04-27_final
2022-05-29 12:03:38	ga_s2bm_ard_3-2-1_50KMB_2022-05-29_final
2022-05-30 09:56:39	ga_s2bm_ard_3-2-1_54HYG_2022-05-30_final
2022-06-05 10:16:17	ga_s2bm_ard_3-2-1_54HUJ_2022-06-05_final
2022-06-14 10:44:06	ga_s2bm_ard_3-2-1_53JPN_2022-06-14_final
2022-07-29 11:34:51	ga_s2bm_ard_3-2-1_51JUM_2022-07-29_final
2022-09-04 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2022-09-04_final.stac-item
2022-09-26 10:23:51	ga_s2bm_ard_3-2-1_53KRP_2022-09-26_final.stac-item
2022-11-12 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2022-11-12_final.stac-item
2022-11-17 11:02:25	ga_s2bm_ard_3-2-1_52KHE_2022-11-17_final.stac-item
2023-02-22 10:52:33	ga_s2bm_ard_3-2-1_53KNU_2023-02-22_final.stac-item
2023-03-14 10:52:38	ga_s2bm_ard_3-2-1_53KNU_2023-03-14_final.stac-item
2023-04-02 11:24:08	ga_s2bm_ard_3-2-1_52KBU_2023-04-02_final.stac-item
2023-05-07 10:31:38	ga_s2bm_ard_3-2-1_53LRC_2023-05-07_nrt.stac-item
2023-05-31 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2023-05-31_final.stac-item
2023-06-09 10:46:29	ga_s2bm_ard_3-2-1_53HLD_2023-06-09_final.stac-item
2023-07-14 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-07-14_final.stac-item
2023-08-04 11:05:21	ga_s2bm_ard_3-2-1_52JEP_2023-08-04_final.stac-item
2023-08-05 10:36:33	ga_s2bm_ard_3-2-1_53HLD_2023-08-05_final.stac-item
2023-08-10 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2023-08-10_final.stac-item
2023-08-29 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2023-08-29_final.stac-item
2023-11-25 11:10:33	ga_s2bm_ard_3-2-1_52LHM_2023-11-25_final.stac-item
2024-01-08 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2024-01-08_final.stac-item
2024-01-12 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2024-01-12_final.stac-item
2024-02-21 10:36:59	ga_s2bm_ard_3-2-1_53HPA_2024-02-21_final.stac-item
2024-02-26 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2024-02-26_final.stac-item
2024-03-02 10:35:02	ga_s2bm_ard_3-2-1_53JPJ_2024-03-02_final.stac-item
2024-03-11 11:02:06	ga_s2bm_ard_3-2-1_53KKA_2024-03-11_final.stac-item
2024-03-13 11:45:29	ga_s2bm_ard_3-2-1_50JQP_2024-03-13_final.stac-item
2024-04-12 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2024-04-12_final.stac-item
2024-05-23 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2024-05-23_nrt.stac-item
2024-05-26 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2024-05-26_nrt.stac-item
2024-05-28 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2024-05-28_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