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
2021-02-18 11:10:35	ga_s2bm_ard_3-2-1_52LHM_2021-02-18_final
2021-02-18 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2021-02-18_final
2021-02-18 11:10:44	ga_s2bm_ard_3-2-1_52LFM_2021-02-18_final.stac-item
2021-02-18 11:10:55	ga_s2bm_ard_3-2-1_52LGL_2021-02-18_final
2021-02-18 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2021-02-18_final
2021-02-18 11:11:02	ga_s2bm_ard_3-2-1_52LEL_2021-02-18_final.stac-item
2021-02-18 11:11:13	ga_s2bm_ard_3-2-1_52LFK_2021-02-18_final
2021-02-18 11:11:17	ga_s2bm_ard_3-2-1_52LEK_2021-02-18_final.stac-item
2021-02-18 11:11:24	ga_s2bm_ard_3-2-1_52LGJ_2021-02-18_final
2021-02-18 11:11:28	ga_s2bm_ard_3-2-1_52LFJ_2021-02-18_final
2021-02-18 11:11:48	ga_s2bm_ard_3-2-1_52KGG_2021-02-18_final
2021-02-18 11:11:57	ga_s2bm_ard_3-2-1_52KFG_2021-02-18_final
2021-02-18 11:12:08	ga_s2bm_ard_3-2-1_52KCG_2021-02-18_final
2021-02-18 11:12:51	ga_s2bm_ard_3-2-1_52KFC_2021-02-18_final
2021-02-18 11:12:58	ga_s2bm_ard_3-2-1_52KEC_2021-02-18_final
2021-02-18 11:13:05	ga_s2bm_ard_3-2-1_52KCC_2021-02-18_final
2021-02-18 11:13:11	ga_s2bm_ard_3-2-1_52KBC_2021-02-18_final
2021-02-18 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2021-02-18_final
2021-02-18 11:13:20	ga_s2bm_ard_3-2-1_52KCB_2021-02-18_final
2021-02-18 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2021-02-18_final
2021-02-18 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2021-02-18_final
2021-02-18 11:13:27	ga_s2bm_ard_3-2-1_52KEA_2021-02-18_final
2021-02-18 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2021-02-18_final
2021-02-18 11:13:34	ga_s2bm_ard_3-2-1_52KCA_2021-02-18_final
2021-02-18 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2021-02-18_final
2021-02-18 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2021-02-18_final
2021-02-18 11:13:42	ga_s2bm_ard_3-2-1_52KEV_2021-02-18_final
2021-02-18 11:13:49	ga_s2bm_ard_3-2-1_52KCV_2021-02-18_final
2021-02-18 11:13:52	ga_s2bm_ard_3-2-1_52KBV_2021-02-18_final
2021-02-18 11:13:55	ga_s2bm_ard_3-2-1_52KEU_2021-02-18_final
2021-02-18 11:14:00	ga_s2bm_ard_3-2-1_52KDU_2021-02-18_final
2021-02-18 11:14:03	ga_s2bm_ard_3-2-1_52KCU_2021-02-18_final
2021-02-18 11:14:05	ga_s2bm_ard_3-2-1_52JET_2021-02-18_final
2021-02-18 11:14:06	ga_s2bm_ard_3-2-1_51KZP_2021-02-18_final
2021-02-18 11:14:06	ga_s2bm_ard_3-2-1_52KBU_2021-02-18_final
2021-02-18 11:14:14	ga_s2bm_ard_3-2-1_52JDT_2021-02-18_final
2021-02-18 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2021-02-18_final
2021-02-18 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2021-02-18_final
2021-02-18 11:14:21	ga_s2bm_ard_3-2-1_52JBT_2021-02-18_final
2021-02-18 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2021-02-18_final
2021-02-18 11:14:29	ga_s2bm_ard_3-2-1_52JDS_2021-02-18_final
2021-02-18 11:14:32	ga_s2bm_ard_3-2-1_52JCS_2021-02-18_final
2021-02-18 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2021-02-18_final
2021-02-18 11:14:35	ga_s2bm_ard_3-2-1_52JBS_2021-02-18_final
2021-02-18 11:14:39	ga_s2bm_ard_3-2-1_51JYM_2021-02-18_final
2021-02-18 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2021-02-18_final
2021-02-18 11:16:56	ga_s2bm_ard_3-2-1_51HWC_2021-02-18_final.stac-item
2021-02-18 11:17:04	ga_s2bm_ard_3-2-1_51HXB_2021-02-18_final.stac-item
2021-02-19 10:40:25	ga_s2bm_ard_3-2-1_53LPH_2021-02-19_final.stac-item
2021-02-19 10:40:34	ga_s2bm_ard_3-2-1_53LQG_2021-02-19_final.stac-item
2021-02-19 10:40:37	ga_s2bm_ard_3-2-1_53LPG_2021-02-19_final
2021-02-19 10:40:48	ga_s2bm_ard_3-2-1_53LQF_2021-02-19_final.stac-item
2021-02-19 10:40:51	ga_s2bm_ard_3-2-1_53LPF_2021-02-19_final
2021-02-19 10:41:06	ga_s2bm_ard_3-2-1_53LPE_2021-02-19_final
2021-02-19 10:41:17	ga_s2bm_ard_3-2-1_53LQD_2021-02-19_final
2021-02-19 10:41:21	ga_s2bm_ard_3-2-1_53LPD_2021-02-19_final
2021-02-19 10:41:40	ga_s2bm_ard_3-2-1_54KTG_2021-02-19_final
2021-02-19 10:41:43	ga_s2bm_ard_3-2-1_53KRB_2021-02-19_final
2021-02-19 10:41:46	ga_s2bm_ard_3-2-1_53KQB_2021-02-19_final
2021-02-19 10:41:50	ga_s2bm_ard_3-2-1_53KPB_2021-02-19_final
2021-02-19 10:41:52	ga_s2bm_ard_3-2-1_54KTF_2021-02-19_final
2021-02-19 10:41:57	ga_s2bm_ard_3-2-1_53KRA_2021-02-19_final
2021-02-19 10:42:01	ga_s2bm_ard_3-2-1_53KQA_2021-02-19_final
2021-02-19 10:42:10	ga_s2bm_ard_3-2-1_53KRV_2021-02-19_final
2021-02-19 10:42:15	ga_s2bm_ard_3-2-1_53KQV_2021-02-19_final
2021-02-19 10:42:20	ga_s2bm_ard_3-2-1_53KRU_2021-02-19_final
2021-02-19 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2021-02-19_final
2021-02-19 10:42:44	ga_s2bm_ard_3-2-1_53KQT_2021-02-19_final
2021-02-19 10:42:46	ga_s2bm_ard_3-2-1_53KPT_2021-02-19_final
2021-02-19 10:42:48	ga_s2bm_ard_3-2-1_53KNT_2021-02-19_final
2021-02-19 10:42:52	ga_s2bm_ard_3-2-1_53KQT_2021-02-19_final
2021-02-19 10:42:52	ga_s2bm_ard_3-2-1_53KQS_2021-02-19_final
2021-02-19 10:42:53	ga_s2bm_ard_3-2-1_53KPS_2021-02-19_final
2021-02-19 10:42:53	ga_s2bm_ard_3-2-1_53KPT_2021-02-19_final
2021-02-19 10:42:55	ga_s2bm_ard_3-2-1_53KNT_2021-02-19_final
2021-02-19 10:42:59	ga_s2bm_ard_3-2-1_53KQS_2021-02-19_final
2021-02-19 10:43:02	ga_s2bm_ard_3-2-1_53KPS_2021-02-19_final
2021-02-19 10:43:06	ga_s2bm_ard_3-2-1_53KNS_2021-02-19_final
2021-02-19 10:43:09	ga_s2bm_ard_3-2-1_53KMS_2021-02-19_final
2021-02-19 10:43:12	ga_s2bm_ard_3-2-1_53KQR_2021-02-19_final
2021-02-19 10:43:17	ga_s2bm_ard_3-2-1_53KPR_2021-02-19_final
2021-02-19 10:43:20	ga_s2bm_ard_3-2-1_53KNR_2021-02-19_final
2021-02-19 10:43:22	ga_s2bm_ard_3-2-1_53KQQ_2021-02-19_final
2021-02-19 10:43:24	ga_s2bm_ard_3-2-1_53KMR_2021-02-19_final
2021-02-19 10:43:31	ga_s2bm_ard_3-2-1_53KPQ_2021-02-19_final
2021-02-19 10:43:38	ga_s2bm_ard_3-2-1_53KMQ_2021-02-19_final
2021-02-19 10:43:43	ga_s2bm_ard_3-2-1_53KLQ_2021-02-19_final
2021-02-19 10:43:46	ga_s2bm_ard_3-2-1_53KPP_2021-02-19_final
2021-02-19 10:43:49	ga_s2bm_ard_3-2-1_53KNP_2021-02-19_final
2021-02-19 10:43:53	ga_s2bm_ard_3-2-1_53KMP_2021-02-19_final
2021-02-19 10:43:56	ga_s2bm_ard_3-2-1_53KLP_2021-02-19_final
2021-02-19 10:44:00	ga_s2bm_ard_3-2-1_53JPN_2021-02-19_final
2021-02-19 10:44:04	ga_s2bm_ard_3-2-1_53JNN_2021-02-19_final
2021-02-19 10:44:07	ga_s2bm_ard_3-2-1_53JMN_2021-02-19_final
2021-02-19 10:44:10	ga_s2bm_ard_3-2-1_53JLN_2021-02-19_final
2021-02-19 10:44:14	ga_s2bm_ard_3-2-1_53JPM_2021-02-19_final
2021-02-19 10:44:18	ga_s2bm_ard_3-2-1_53JNM_2021-02-19_final
2021-02-19 10:44:22	ga_s2bm_ard_3-2-1_53JMM_2021-02-19_final
2021-02-19 10:44:25	ga_s2bm_ard_3-2-1_53JLM_2021-02-19_final
2021-02-19 10:46:18	ga_s2bm_ard_3-2-1_53HMD_2021-02-19_final

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