Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2024-02-13 11:10:26	ga_s2bm_ard_3-2-1_52LFN_2024-02-13_final
2024-02-13 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2024-02-13_final
2024-02-13 11:10:38	ga_s2bm_ard_3-2-1_52LHM_2024-02-13_final
2024-02-13 11:11:02	ga_s2bm_ard_3-2-1_52LFL_2024-02-13_final
2024-02-13 11:11:35	ga_s2bm_ard_3-2-1_52LEJ_2024-02-13_final
2024-02-13 11:11:51	ga_s2bm_ard_3-2-1_52KGG_2024-02-13_final
2024-02-13 11:12:07	ga_s2bm_ard_3-2-1_52KDG_2024-02-13_final
2024-02-13 11:12:39	ga_s2bm_ard_3-2-1_52KCE_2024-02-13_final
2024-02-13 11:13:45	ga_s2bm_ard_3-2-1_52KEV_2024-02-13_final
2024-02-13 11:13:58	ga_s2bm_ard_3-2-1_52KEU_2024-02-13_final
2024-02-13 11:14:03	ga_s2bm_ard_3-2-1_52KDU_2024-02-13_final
2024-02-13 11:14:10	ga_s2bm_ard_3-2-1_52KBU_2024-02-13_final
2024-02-13 11:14:21	ga_s2bm_ard_3-2-1_52JCT_2024-02-13_final
2024-02-13 11:14:24	ga_s2bm_ard_3-2-1_52JBT_2024-02-13_final
2024-02-13 11:14:39	ga_s2bm_ard_3-2-1_52JBS_2024-02-13_final
2024-02-13 11:14:56	ga_s2bm_ard_3-2-1_51JYL_2024-02-13_final
2024-02-13 11:15:11	ga_s2bm_ard_3-2-1_51JYK_2024-02-13_final
2024-02-13 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2024-02-13_final
2024-02-13 11:15:37	ga_s2bm_ard_3-2-1_52JBN_2024-02-13_final
2024-02-13 11:15:43	ga_s2bm_ard_3-2-1_51JXH_2024-02-13_final
2024-02-13 11:16:05	ga_s2bm_ard_3-2-1_51JXG_2024-02-13_final
2024-02-13 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2024-02-13_final
2024-02-13 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2024-02-13_final
2024-02-14 10:41:10	ga_s2bm_ard_3-2-1_53LPE_2024-02-14_final
2024-02-14 10:41:50	ga_s2bm_ard_3-2-1_53KQB_2024-02-14_final
2024-02-14 10:42:01	ga_s2bm_ard_3-2-1_53KRA_2024-02-14_final
2024-02-14 10:43:02	ga_s2bm_ard_3-2-1_53KQS_2024-02-14_final
2024-02-14 10:43:09	ga_s2bm_ard_3-2-1_53KNS_2024-02-14_final
2024-02-14 10:43:12	ga_s2bm_ard_3-2-1_53KMS_2024-02-14_final
2024-02-14 10:43:27	ga_s2bm_ard_3-2-1_53KMR_2024-02-14_final
2024-02-14 10:43:34	ga_s2bm_ard_3-2-1_53KPQ_2024-02-14_final
2024-02-14 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2024-02-14_final
2024-02-14 10:44:04	ga_s2bm_ard_3-2-1_53JPN_2024-02-14_final
2024-02-14 10:44:11	ga_s2bm_ard_3-2-1_53JMN_2024-02-14_final
2024-02-14 10:44:18	ga_s2bm_ard_3-2-1_53JPM_2024-02-14_final
2024-02-14 10:44:22	ga_s2bm_ard_3-2-1_53JNM_2024-02-14_final
2024-02-14 10:44:36	ga_s2bm_ard_3-2-1_53JNL_2024-02-14_final
2024-02-14 10:45:27	ga_s2bm_ard_3-2-1_53JLH_2024-02-14_final
2024-02-14 10:45:38	ga_s2bm_ard_3-2-1_53JMG_2024-02-14_final
2024-02-14 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2024-02-14_final
2024-02-14 10:45:52	ga_s2bm_ard_3-2-1_53JMF_2024-02-14_final
2024-02-14 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2024-02-14_final
2024-02-14 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2024-02-14_final
2024-02-14 10:46:31	ga_s2bm_ard_3-2-1_53HMC_2024-02-14_final
2024-02-15 10:16:53	ga_s2bm_ard_3-2-1_53HQB_2024-02-15_final
2024-02-15 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2024-02-15_final
2024-02-15 11:52:50	ga_s2bm_ard_3-2-1_50KQE_2024-02-15_final
2024-02-15 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2024-02-15_final
2024-02-15 11:53:08	ga_s2bm_ard_3-2-1_50KPD_2024-02-15_final
2024-02-15 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2024-02-15_final
2024-02-15 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2024-02-15_final
2024-02-15 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2024-02-15_final
2024-02-15 11:53:32	ga_s2bm_ard_3-2-1_50KMC_2024-02-15_final
2024-02-15 11:53:40	ga_s2bm_ard_3-2-1_50KNB_2024-02-15_final
2024-02-15 11:53:44	ga_s2bm_ard_3-2-1_50KMB_2024-02-15_final
2024-02-15 11:54:06	ga_s2bm_ard_3-2-1_50KPV_2024-02-15_final
2024-02-15 11:54:14	ga_s2bm_ard_3-2-1_50KQU_2024-02-15_final
2024-02-15 11:54:20	ga_s2bm_ard_3-2-1_50KPU_2024-02-15_final
2024-02-15 11:54:24	ga_s2bm_ard_3-2-1_50KNU_2024-02-15_final
2024-02-15 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2024-02-15_final
2024-02-15 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2024-02-15_final
2024-02-15 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2024-02-15_final
2024-02-15 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2024-02-15_final
2024-02-15 11:54:46	ga_s2bm_ard_3-2-1_50JNT_2024-02-15_final
2024-02-15 11:54:47	ga_s2bm_ard_3-2-1_50JMS_2024-02-15_final
2024-02-15 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2024-02-15_final
2024-02-15 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2024-02-15_final
2024-02-15 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2024-02-15_final
2024-02-15 11:55:04	ga_s2bm_ard_3-2-1_50JPR_2024-02-15_final
2024-02-15 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2024-02-15_final
2024-02-15 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2024-02-15_final
2024-02-15 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2024-02-15_final
2024-02-15 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2024-02-15_final
2024-02-15 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2024-02-15_final
2024-02-15 11:55:40	ga_s2bm_ard_3-2-1_50JMP_2024-02-15_final
2024-02-15 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2024-02-15_final
2024-02-15 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2024-02-15_final
2024-02-15 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2024-02-15_final
2024-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2024-02-15_final
2024-02-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2024-02-15_final
2024-02-15 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2024-02-15_final
2024-02-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-15_final
2024-02-15 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2024-02-15_final
2024-02-25 11:50:33	ga_s2bm_ard_3-2-1_51LTJ_2024-02-25_nrt
2024-02-25 11:51:50	ga_s2bm_ard_3-2-1_50LQJ_2024-02-25_nrt
2024-02-25 11:52:05	ga_s2bm_ard_3-2-1_50LQH_2024-02-25_nrt
2024-02-25 11:52:40	ga_s2bm_ard_3-2-1_50KNF_2024-02-25_nrt
2024-02-25 11:56:45	ga_s2bm_ard_3-2-1_49HGE_2024-02-25_nrt
2024-02-25 11:57:22	ga_s2bm_ard_3-2-1_49HFC_2024-02-25_nrt
2024-02-25 11:57:23	ga_s2bm_ard_3-2-1_50HKG_2024-02-25_nrt
2024-02-25 11:57:26	ga_s2bm_ard_3-2-1_49HFB_2024-02-25_nrt
2024-02-26 11:20:22	ga_s2bm_ard_3-2-1_52LCP_2024-02-26_nrt
2024-02-26 11:20:32	ga_s2bm_ard_3-2-1_52LDN_2024-02-26_nrt
2024-02-26 11:20:39	ga_s2bm_ard_3-2-1_52LDM_2024-02-26_nrt
2024-02-26 11:20:39	ga_s2bm_ard_3-2-1_52LDN_2024-02-26_nrt
2024-02-26 11:20:41	ga_s2bm_ard_3-2-1_52LCN_2024-02-26_nrt
2024-02-26 11:20:48	ga_s2bm_ard_3-2-1_52LDM_2024-02-26_nrt
2024-02-26 11:20:51	ga_s2bm_ard_3-2-1_52LCM_2024-02-26_nrt
2024-02-26 11:21:02	ga_s2bm_ard_3-2-1_52LDL_2024-02-26_nrt
2024-02-26 11:21:06	ga_s2bm_ard_3-2-1_52LCL_2024-02-26_nrt

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years