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
2021-01-01 11:54:03	ga_s2bm_ard_3-2-1_50KPV_2021-01-01_final
2021-01-01 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2021-01-01_final
2021-01-01 11:54:10	ga_s2bm_ard_3-2-1_50KMV_2021-01-01_final
2021-01-01 11:54:17	ga_s2bm_ard_3-2-1_50KPU_2021-01-01_final
2021-01-01 11:54:21	ga_s2bm_ard_3-2-1_50KNU_2021-01-01_final
2021-01-01 11:54:24	ga_s2bm_ard_3-2-1_50KMU_2021-01-01_final
2021-01-01 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2021-01-01_final
2021-01-01 11:54:53	ga_s2bm_ard_3-2-1_50JMS_2021-01-01_final
2021-01-01 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2021-01-01_final
2021-01-01 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2021-01-01_final
2021-01-01 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2021-01-01_final
2021-01-01 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2021-01-01_final
2021-01-01 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-01-01_final
2021-01-01 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-01-01_final
2021-01-01 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-01-01_final
2021-01-01 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2021-01-01_final
2021-01-01 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2021-01-01_final.stac-item
2021-01-02 09:42:32	ga_s2bm_ard_3-2-1_55KGT_2021-01-02_final
2021-01-02 09:42:41	ga_s2bm_ard_3-2-1_56KKB_2021-01-02_final
2021-01-02 09:42:45	ga_s2bm_ard_3-2-1_55KGS_2021-01-02_final
2021-01-02 09:42:52	ga_s2bm_ard_3-2-1_56KLA_2021-01-02_final
2021-01-02 09:42:56	ga_s2bm_ard_3-2-1_55KHR_2021-01-02_final
2021-01-02 09:43:00	ga_s2bm_ard_3-2-1_55KGR_2021-01-02_final
2021-01-02 09:43:07	ga_s2bm_ard_3-2-1_56KLV_2021-01-02_final
2021-01-02 09:43:25	ga_s2bm_ard_3-2-1_56KKU_2021-01-02_final
2021-01-02 09:43:25	ga_s2bm_ard_3-2-1_55KHP_2021-01-02_final
2021-01-02 09:43:33	ga_s2bm_ard_3-2-1_55KFP_2021-01-02_final
2021-01-02 09:43:39	ga_s2bm_ard_3-2-1_55JHN_2021-01-02_final
2021-01-02 09:43:54	ga_s2bm_ard_3-2-1_55JHM_2021-01-02_final
2021-01-02 09:43:54	ga_s2bm_ard_3-2-1_56JKS_2021-01-02_final
2021-01-02 09:43:58	ga_s2bm_ard_3-2-1_55JGM_2021-01-02_final
2021-01-02 09:44:09	ga_s2bm_ard_3-2-1_56JKR_2021-01-02_final
2021-01-02 09:44:12	ga_s2bm_ard_3-2-1_55JGL_2021-01-02_final
2021-01-02 09:44:15	ga_s2bm_ard_3-2-1_56JLQ_2021-01-02_final
2021-01-02 09:44:27	ga_s2bm_ard_3-2-1_55JGK_2021-01-02_final
2021-01-02 09:44:30	ga_s2bm_ard_3-2-1_55JFK_2021-01-02_final
2021-01-02 09:44:38	ga_s2bm_ard_3-2-1_56JKP_2021-01-02_final
2021-01-02 09:45:07	ga_s2bm_ard_3-2-1_56JKM_2021-01-02_final
2021-01-02 09:45:10	ga_s2bm_ard_3-2-1_55JGG_2021-01-02_final
2021-01-02 09:45:28	ga_s2bm_ard_3-2-1_55JFF_2021-01-02_final
2021-01-02 09:45:31	ga_s2bm_ard_3-2-1_56HKK_2021-01-02_final
2021-01-02 09:45:39	ga_s2bm_ard_3-2-1_55HGE_2021-01-02_final
2021-01-02 09:45:42	ga_s2bm_ard_3-2-1_55HFE_2021-01-02_final
2021-01-02 09:45:49	ga_s2bm_ard_3-2-1_55HDE_2021-01-02_final
2021-01-02 09:46:06	ga_s2bm_ard_3-2-1_55HGC_2021-01-02_final
2021-01-02 09:46:15	ga_s2bm_ard_3-2-1_55HEC_2021-01-02_final
2021-01-02 09:46:16	ga_s2bm_ard_3-2-1_55HGB_2021-01-02_final
2021-01-02 09:46:19	ga_s2bm_ard_3-2-1_55HDC_2021-01-02_final
2021-01-02 09:46:26	ga_s2bm_ard_3-2-1_55HFB_2021-01-02_final
2021-01-02 09:46:44	ga_s2bm_ard_3-2-1_55HEA_2021-01-02_final
2021-01-02 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2021-01-02_final
2021-01-02 09:47:42	ga_s2bm_ard_3-2-1_55HES_2021-01-02_final
2021-01-02 09:47:46	ga_s2bm_ard_3-2-1_55HDS_2021-01-02_final
2021-01-02 09:47:49	ga_s2bm_ard_3-2-1_55HCS_2021-01-02_final
2021-01-02 09:47:52	ga_s2bm_ard_3-2-1_55HBS_2021-01-02_final
2021-01-02 09:47:53	ga_s2bm_ard_3-2-1_54HYB_2021-01-02_final
2021-01-02 11:21:20	ga_s2bm_ard_3-2-1_52LCK_2021-01-02_final.stac-item
2021-01-02 11:21:34	ga_s2bm_ard_3-2-1_52LCJ_2021-01-02_final
2021-01-02 11:21:37	ga_s2bm_ard_3-2-1_52LBJ_2021-01-02_final
2021-01-02 11:21:38	ga_s2bm_ard_3-2-1_51LZD_2021-01-02_final
2021-01-02 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2021-01-02_final
2021-01-02 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2021-01-02_final
2021-01-02 11:22:40	ga_s2bm_ard_3-2-1_51KYV_2021-01-02_final
2021-01-02 11:23:01	ga_s2bm_ard_3-2-1_52KCC_2021-01-02_final
2021-01-02 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2021-01-02_final
2021-01-02 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-01-02_final
2021-01-02 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2021-01-02_final
2021-01-02 11:23:15	ga_s2bm_ard_3-2-1_52KCB_2021-01-02_final
2021-01-02 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2021-01-02_final
2021-01-02 11:23:26	ga_s2bm_ard_3-2-1_52KCA_2021-01-02_final
2021-01-02 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2021-01-02_final
2021-01-02 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2021-01-02_final
2021-01-02 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2021-01-02_final
2021-01-02 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-01-02_final
2021-01-02 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-01-02_final
2021-01-02 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2021-01-02_final
2021-01-02 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2021-01-02_final
2021-01-02 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2021-01-02_final
2021-01-02 11:24:10	ga_s2bm_ard_3-2-1_51KXP_2021-01-02_final
2021-01-02 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2021-01-02_final
2021-01-02 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2021-01-02_final
2021-01-02 11:24:31	ga_s2bm_ard_3-2-1_51JZM_2021-01-02_final
2021-01-02 11:24:31	ga_s2bm_ard_3-2-1_52JBS_2021-01-02_final
2021-01-02 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2021-01-02_final
2021-01-02 11:24:42	ga_s2bm_ard_3-2-1_52JBR_2021-01-02_final
2021-01-02 11:24:43	ga_s2bm_ard_3-2-1_51JWM_2021-01-02_final
2021-01-02 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-01-02_final
2021-01-02 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2021-01-02_final
2021-01-02 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2021-01-02_final
2021-01-02 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2021-01-02_final
2021-01-02 11:25:43	ga_s2bm_ard_3-2-1_51JYG_2021-01-02_final
2021-01-02 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2021-01-02_final
2021-01-02 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2021-01-02_final
2021-01-02 11:26:24	ga_s2bm_ard_3-2-1_51HWE_2021-01-02_final
2021-01-02 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2021-01-02_final
2021-01-02 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-01-02_final
2021-01-02 11:26:53	ga_s2bm_ard_3-2-1_51HWC_2021-01-02_final.stac-item
2021-01-02 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2021-01-02_final
2021-01-02 11:27:09	ga_s2bm_ard_3-2-1_51HVB_2021-01-02_final.stac-item
2021-01-02 11:27:11	ga_s2bm_ard_3-2-1_51HUB_2021-01-02_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