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
2020-12-29 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-12-29_final.stac-item
2020-12-29 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2020-12-29_final.stac-item
2020-12-30 09:32:57	ga_s2bm_ard_3-2-1_56KLA_2020-12-30_final
2020-12-30 09:33:11	ga_s2bm_ard_3-2-1_56KLV_2020-12-30_final
2020-12-30 09:33:48	ga_s2bm_ard_3-2-1_56JNS_2020-12-30_final
2020-12-30 09:33:52	ga_s2bm_ard_3-2-1_56JMS_2020-12-30_final
2020-12-30 09:34:06	ga_s2bm_ard_3-2-1_56JMR_2020-12-30_final
2020-12-30 09:34:12	ga_s2bm_ard_3-2-1_56JKR_2020-12-30_final
2020-12-30 09:34:17	ga_s2bm_ard_3-2-1_56JNQ_2020-12-30_final.stac-item
2020-12-30 09:34:21	ga_s2bm_ard_3-2-1_56JMQ_2020-12-30_final
2020-12-30 09:34:24	ga_s2bm_ard_3-2-1_56JLQ_2020-12-30_final
2020-12-30 09:34:27	ga_s2bm_ard_3-2-1_56JKQ_2020-12-30_final
2020-12-30 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2020-12-30_final.stac-item
2020-12-30 09:34:35	ga_s2bm_ard_3-2-1_56JMP_2020-12-30_final
2020-12-30 09:34:42	ga_s2bm_ard_3-2-1_56JKP_2020-12-30_final
2020-12-30 09:34:42	ga_s2bm_ard_3-2-1_56JNN_2020-12-30_final
2020-12-30 09:34:48	ga_s2bm_ard_3-2-1_55JGJ_2020-12-30_final
2020-12-30 09:34:49	ga_s2bm_ard_3-2-1_56JMN_2020-12-30_final
2020-12-30 09:34:53	ga_s2bm_ard_3-2-1_56JLN_2020-12-30_final
2020-12-30 09:35:08	ga_s2bm_ard_3-2-1_56JLM_2020-12-30_final
2020-12-30 09:35:11	ga_s2bm_ard_3-2-1_56JKM_2020-12-30_final
2020-12-30 09:35:13	ga_s2bm_ard_3-2-1_55JGG_2020-12-30_final
2020-12-30 09:35:19	ga_s2bm_ard_3-2-1_56JML_2020-12-30_final
2020-12-30 09:35:25	ga_s2bm_ard_3-2-1_56JKL_2020-12-30_final
2020-12-30 09:35:28	ga_s2bm_ard_3-2-1_55JGF_2020-12-30_final
2020-12-30 09:35:37	ga_s2bm_ard_3-2-1_56HLK_2020-12-30_final
2020-12-30 09:35:40	ga_s2bm_ard_3-2-1_56HKK_2020-12-30_final
2020-12-30 09:35:42	ga_s2bm_ard_3-2-1_55HGE_2020-12-30_final
2020-12-30 09:35:48	ga_s2bm_ard_3-2-1_55HFE_2020-12-30_final
2020-12-30 09:35:51	ga_s2bm_ard_3-2-1_56HLJ_2020-12-30_final
2020-12-30 09:35:55	ga_s2bm_ard_3-2-1_56HKJ_2020-12-30_final
2020-12-30 09:36:00	ga_s2bm_ard_3-2-1_55HFD_2020-12-30_final
2020-12-30 09:36:06	ga_s2bm_ard_3-2-1_56HLH_2020-12-30_final.stac-item
2020-12-30 09:36:15	ga_s2bm_ard_3-2-1_55HFC_2020-12-30_final
2020-12-30 09:36:20	ga_s2bm_ard_3-2-1_56HLG_2020-12-30_final.stac-item
2020-12-30 09:36:24	ga_s2bm_ard_3-2-1_56HKG_2020-12-30_final
2020-12-30 09:36:25	ga_s2bm_ard_3-2-1_55HGB_2020-12-30_final
2020-12-30 09:36:29	ga_s2bm_ard_3-2-1_55HFB_2020-12-30_final
2020-12-30 09:36:38	ga_s2bm_ard_3-2-1_56HKF_2020-12-30_final
2020-12-30 09:36:40	ga_s2bm_ard_3-2-1_55HGA_2020-12-30_final
2020-12-30 09:37:09	ga_s2bm_ard_3-2-1_55HGU_2020-12-30_final.stac-item
2020-12-30 09:37:13	ga_s2bm_ard_3-2-1_55HFU_2020-12-30_final.stac-item
2020-12-30 09:37:16	ga_s2bm_ard_3-2-1_55HEU_2020-12-30_final
2020-12-30 09:37:27	ga_s2bm_ard_3-2-1_55HFT_2020-12-30_final.stac-item
2020-12-30 09:37:31	ga_s2bm_ard_3-2-1_55HET_2020-12-30_final
2020-12-30 09:37:38	ga_s2bm_ard_3-2-1_55HDT_2020-12-30_final
2020-12-30 09:37:42	ga_s2bm_ard_3-2-1_55HFS_2020-12-30_final.stac-item
2020-12-30 09:37:45	ga_s2bm_ard_3-2-1_55HES_2020-12-30_final
2020-12-30 09:37:49	ga_s2bm_ard_3-2-1_55HDS_2020-12-30_final
2020-12-30 09:37:56	ga_s2bm_ard_3-2-1_55GFR_2020-12-30_final
2020-12-30 09:38:00	ga_s2bm_ard_3-2-1_55GER_2020-12-30_final
2020-12-30 09:38:03	ga_s2bm_ard_3-2-1_55GDR_2020-12-30_final
2020-12-30 09:38:10	ga_s2bm_ard_3-2-1_55GFQ_2020-12-30_final
2020-12-30 09:38:14	ga_s2bm_ard_3-2-1_55GEQ_2020-12-30_final
2020-12-30 09:38:18	ga_s2bm_ard_3-2-1_55GDQ_2020-12-30_final
2020-12-30 09:38:24	ga_s2bm_ard_3-2-1_55GFP_2020-12-30_final
2020-12-30 09:38:29	ga_s2bm_ard_3-2-1_55GEP_2020-12-30_final
2020-12-30 09:38:32	ga_s2bm_ard_3-2-1_55GDP_2020-12-30_final
2020-12-30 09:38:38	ga_s2bm_ard_3-2-1_55GCP_2020-12-30_final
2020-12-30 11:10:02	ga_s2bm_ard_3-2-1_53LKJ_2020-12-30_final.stac-item
2020-12-30 11:10:30	ga_s2bm_ard_3-2-1_52LFN_2020-12-30_final.stac-item
2020-12-30 11:10:35	ga_s2bm_ard_3-2-1_52LHM_2020-12-30_final
2020-12-30 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2020-12-30_final
2020-12-30 11:10:45	ga_s2bm_ard_3-2-1_52LFM_2020-12-30_final.stac-item
2020-12-30 11:10:45	ga_s2bm_ard_3-2-1_52LHL_2020-12-30_final
2020-12-30 11:11:14	ga_s2bm_ard_3-2-1_52LFK_2020-12-30_final
2020-12-30 11:11:17	ga_s2bm_ard_3-2-1_52LEK_2020-12-30_final.stac-item
2020-12-30 11:12:52	ga_s2bm_ard_3-2-1_52KFC_2020-12-30_final
2020-12-30 11:12:59	ga_s2bm_ard_3-2-1_52KEC_2020-12-30_final
2020-12-30 11:13:02	ga_s2bm_ard_3-2-1_52KDC_2020-12-30_final
2020-12-30 11:13:05	ga_s2bm_ard_3-2-1_52KCC_2020-12-30_final
2020-12-30 11:13:35	ga_s2bm_ard_3-2-1_52KCA_2020-12-30_final
2020-12-30 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2020-12-30_final
2020-12-30 11:13:49	ga_s2bm_ard_3-2-1_52KCV_2020-12-30_final
2020-12-30 11:14:51	ga_s2bm_ard_3-2-1_52JBR_2020-12-30_final
2020-12-30 11:14:54	ga_s2bm_ard_3-2-1_51JYL_2020-12-30_final
2020-12-30 11:15:02	ga_s2bm_ard_3-2-1_52JCQ_2020-12-30_final
2020-12-30 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2020-12-30_final
2020-12-30 11:15:08	ga_s2bm_ard_3-2-1_51JYK_2020-12-30_final
2020-12-30 11:15:10	ga_s2bm_ard_3-2-1_52JDP_2020-12-30_final
2020-12-30 11:15:16	ga_s2bm_ard_3-2-1_52JCP_2020-12-30_final
2020-12-30 11:15:20	ga_s2bm_ard_3-2-1_52JBP_2020-12-30_final
2020-12-30 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2020-12-30_final
2020-12-30 11:15:31	ga_s2bm_ard_3-2-1_52JCN_2020-12-30_final
2020-12-30 11:15:40	ga_s2bm_ard_3-2-1_51JXH_2020-12-30_final
2020-12-30 11:15:46	ga_s2bm_ard_3-2-1_52JCM_2020-12-30_final
2020-12-30 11:15:49	ga_s2bm_ard_3-2-1_52JBM_2020-12-30_final
2020-12-30 11:15:52	ga_s2bm_ard_3-2-1_51JYG_2020-12-30_final
2020-12-30 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2020-12-30_final
2020-12-30 11:16:04	ga_s2bm_ard_3-2-1_52JBL_2020-12-30_final
2020-12-30 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2020-12-30_final
2020-12-30 11:16:14	ga_s2bm_ard_3-2-1_52HCK_2020-12-30_final.stac-item
2020-12-30 11:16:18	ga_s2bm_ard_3-2-1_51JWF_2020-12-30_final
2020-12-30 11:16:18	ga_s2bm_ard_3-2-1_52HBK_2020-12-30_final
2020-12-30 11:16:20	ga_s2bm_ard_3-2-1_51HYE_2020-12-30_final
2020-12-30 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2020-12-30_final
2020-12-30 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2020-12-30_final
2020-12-30 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2020-12-30_final
2020-12-30 11:16:53	ga_s2bm_ard_3-2-1_51HXC_2020-12-30_final.stac-item
2020-12-30 11:17:04	ga_s2bm_ard_3-2-1_51HXB_2020-12-30_final.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