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
2020-05-14 11:14:48	ga_s2bm_ard_3-2-1_52JCR_2020-05-14_final
2020-05-14 11:14:52	ga_s2bm_ard_3-2-1_52JBR_2020-05-14_final
2020-05-14 11:14:55	ga_s2bm_ard_3-2-1_51JYL_2020-05-14_final
2020-05-14 11:14:59	ga_s2bm_ard_3-2-1_52JDQ_2020-05-14_final
2020-05-14 11:15:03	ga_s2bm_ard_3-2-1_52JCQ_2020-05-14_final
2020-05-14 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2020-05-14_final
2020-05-14 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2020-05-14_final
2020-05-14 11:15:11	ga_s2bm_ard_3-2-1_52JDP_2020-05-14_final
2020-05-14 11:15:17	ga_s2bm_ard_3-2-1_52JCP_2020-05-14_final
2020-05-14 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2020-05-14_final
2020-05-14 11:15:24	ga_s2bm_ard_3-2-1_51JYJ_2020-05-14_final
2020-05-14 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2020-05-14_final
2020-05-14 11:15:32	ga_s2bm_ard_3-2-1_52JCN_2020-05-14_final
2020-05-14 11:15:35	ga_s2bm_ard_3-2-1_52JBN_2020-05-14_final
2020-05-14 11:15:38	ga_s2bm_ard_3-2-1_51JYH_2020-05-14_final
2020-05-14 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2020-05-14_final
2020-05-14 11:15:47	ga_s2bm_ard_3-2-1_52JCM_2020-05-14_final
2020-05-14 11:15:50	ga_s2bm_ard_3-2-1_52JBM_2020-05-14_final
2020-05-14 11:15:53	ga_s2bm_ard_3-2-1_51JYG_2020-05-14_final
2020-05-14 11:15:56	ga_s2bm_ard_3-2-1_51JXG_2020-05-14_final
2020-05-14 11:16:01	ga_s2bm_ard_3-2-1_52JCL_2020-05-14_final
2020-05-14 11:16:05	ga_s2bm_ard_3-2-1_52JBL_2020-05-14_final
2020-05-14 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2020-05-14_final
2020-05-14 11:16:11	ga_s2bm_ard_3-2-1_51JXF_2020-05-14_final
2020-05-14 11:16:15	ga_s2bm_ard_3-2-1_52HCK_2020-05-14_final.stac-item
2020-05-14 11:16:19	ga_s2bm_ard_3-2-1_52HBK_2020-05-14_final
2020-05-14 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2020-05-14_final
2020-05-14 11:16:25	ga_s2bm_ard_3-2-1_51HXE_2020-05-14_final
2020-05-14 11:16:29	ga_s2bm_ard_3-2-1_51HWE_2020-05-14_final
2020-05-14 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2020-05-14_final
2020-05-14 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2020-05-14_final
2020-05-14 11:16:43	ga_s2bm_ard_3-2-1_51HWD_2020-05-14_final
2020-05-14 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2020-05-14_final.stac-item
2020-05-14 11:17:05	ga_s2bm_ard_3-2-1_51HXB_2020-05-14_final.stac-item
2020-05-14 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2020-05-14_final.stac-item
2020-05-15 10:40:27	ga_s2bm_ard_3-2-1_53LPH_2020-05-15_final.stac-item
2020-05-15 10:40:35	ga_s2bm_ard_3-2-1_53LQG_2020-05-15_final.stac-item
2020-05-15 10:40:39	ga_s2bm_ard_3-2-1_53LPG_2020-05-15_final
2020-05-15 10:41:05	ga_s2bm_ard_3-2-1_53LQE_2020-05-15_final.stac-item
2020-05-15 10:41:08	ga_s2bm_ard_3-2-1_53LPE_2020-05-15_final
2020-05-15 10:41:29	ga_s2bm_ard_3-2-1_53LND_2020-05-15_final
2020-05-15 10:41:34	ga_s2bm_ard_3-2-1_53LQC_2020-05-15_final
2020-05-15 10:41:37	ga_s2bm_ard_3-2-1_53LPC_2020-05-15_final
2020-05-15 10:41:41	ga_s2bm_ard_3-2-1_53LNC_2020-05-15_final
2020-05-15 10:41:54	ga_s2bm_ard_3-2-1_53KNB_2020-05-15_final
2020-05-15 10:42:02	ga_s2bm_ard_3-2-1_53KNB_2020-05-15_final
2020-05-15 10:42:12	ga_s2bm_ard_3-2-1_53KRV_2020-05-15_final
2020-05-15 10:42:17	ga_s2bm_ard_3-2-1_53KQV_2020-05-15_final
2020-05-15 10:42:20	ga_s2bm_ard_3-2-1_53KPV_2020-05-15_final
2020-05-15 10:42:24	ga_s2bm_ard_3-2-1_53KNV_2020-05-15_final
2020-05-15 10:42:35	ga_s2bm_ard_3-2-1_53KPU_2020-05-15_final
2020-05-15 10:42:38	ga_s2bm_ard_3-2-1_53KNU_2020-05-15_final
2020-05-15 10:42:43	ga_s2bm_ard_3-2-1_53KMU_2020-05-15_final
2020-05-15 10:42:49	ga_s2bm_ard_3-2-1_53KPT_2020-05-15_final
2020-05-15 10:42:53	ga_s2bm_ard_3-2-1_53KNT_2020-05-15_final
2020-05-15 10:42:56	ga_s2bm_ard_3-2-1_53KMT_2020-05-15_final
2020-05-15 10:43:00	ga_s2bm_ard_3-2-1_53KQS_2020-05-15_final
2020-05-15 10:43:18	ga_s2bm_ard_3-2-1_53KPR_2020-05-15_final
2020-05-15 10:43:24	ga_s2bm_ard_3-2-1_53KQQ_2020-05-15_final
2020-05-15 10:43:33	ga_s2bm_ard_3-2-1_53KPQ_2020-05-15_final
2020-05-15 10:43:37	ga_s2bm_ard_3-2-1_53KNQ_2020-05-15_final
2020-05-15 10:43:40	ga_s2bm_ard_3-2-1_53KMQ_2020-05-15_final
2020-05-15 10:43:45	ga_s2bm_ard_3-2-1_53KLQ_2020-05-15_final
2020-05-15 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2020-05-15_final
2020-05-15 10:43:51	ga_s2bm_ard_3-2-1_53KNP_2020-05-15_final
2020-05-15 10:43:54	ga_s2bm_ard_3-2-1_53KMP_2020-05-15_final
2020-05-15 10:44:16	ga_s2bm_ard_3-2-1_53JPM_2020-05-15_final
2020-05-15 10:44:27	ga_s2bm_ard_3-2-1_53JPL_2020-05-15_final
2020-05-15 10:44:34	ga_s2bm_ard_3-2-1_53JNL_2020-05-15_final
2020-05-15 10:44:38	ga_s2bm_ard_3-2-1_53JML_2020-05-15_final
2020-05-15 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2020-05-15_final
2020-05-15 10:44:47	ga_s2bm_ard_3-2-1_53JKL_2020-05-15_final
2020-05-15 10:44:49	ga_s2bm_ard_3-2-1_53JNK_2020-05-15_final
2020-05-15 10:44:53	ga_s2bm_ard_3-2-1_53JMK_2020-05-15_final
2020-05-15 10:44:56	ga_s2bm_ard_3-2-1_53JLK_2020-05-15_final
2020-05-15 10:44:59	ga_s2bm_ard_3-2-1_53JKK_2020-05-15_final
2020-05-15 10:45:04	ga_s2bm_ard_3-2-1_53JNJ_2020-05-15_final
2020-05-15 10:45:07	ga_s2bm_ard_3-2-1_53JMJ_2020-05-15_final
2020-05-15 10:45:10	ga_s2bm_ard_3-2-1_53JLJ_2020-05-15_final
2020-05-15 10:45:13	ga_s2bm_ard_3-2-1_53JKJ_2020-05-15_final
2020-05-15 10:45:18	ga_s2bm_ard_3-2-1_53JNH_2020-05-15_final
2020-05-15 10:45:22	ga_s2bm_ard_3-2-1_53JMH_2020-05-15_final
2020-05-15 10:45:25	ga_s2bm_ard_3-2-1_53JLH_2020-05-15_final
2020-05-15 10:45:28	ga_s2bm_ard_3-2-1_53JKH_2020-05-15_final
2020-05-15 10:45:31	ga_s2bm_ard_3-2-1_53JNG_2020-05-15_final
2020-05-15 10:45:36	ga_s2bm_ard_3-2-1_53JMG_2020-05-15_final
2020-05-15 10:45:39	ga_s2bm_ard_3-2-1_53JLG_2020-05-15_final
2020-05-15 10:45:41	ga_s2bm_ard_3-2-1_53JNF_2020-05-15_final
2020-05-15 10:45:43	ga_s2bm_ard_3-2-1_53JKG_2020-05-15_final
2020-05-15 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2020-05-15_final
2020-05-15 10:45:50	ga_s2bm_ard_3-2-1_53JMF_2020-05-15_final
2020-05-15 10:45:54	ga_s2bm_ard_3-2-1_53JLF_2020-05-15_final
2020-05-15 10:45:57	ga_s2bm_ard_3-2-1_53JKF_2020-05-15_final
2020-05-15 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2020-05-15_final
2020-05-15 10:46:05	ga_s2bm_ard_3-2-1_53HME_2020-05-15_final
2020-05-15 10:46:09	ga_s2bm_ard_3-2-1_53HLE_2020-05-15_final
2020-05-15 10:46:12	ga_s2bm_ard_3-2-1_53HKE_2020-05-15_final.stac-item
2020-05-15 10:46:14	ga_s2bm_ard_3-2-1_52HGK_2020-05-15_final.stac-item
2020-05-15 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2020-05-15_final
2020-05-15 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2020-05-15_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