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
2021-03-29 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-03-29_final
2021-03-29 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2021-03-29_final
2021-03-29 11:43:07	ga_s2bm_ard_3-2-1_50KQD_2021-03-29_final.stac-item
2021-03-29 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-03-29_final
2021-03-29 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2021-03-29_final
2021-03-29 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2021-03-29_final
2021-03-29 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-03-29_final
2021-03-29 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2021-03-29_final
2021-03-29 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2021-03-29_final
2021-03-29 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2021-03-29_final
2021-03-29 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2021-03-29_final
2021-03-29 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2021-03-29_final
2021-03-29 11:44:09	ga_s2bm_ard_3-2-1_50KPV_2021-03-29_final
2021-03-29 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2021-03-29_final
2021-03-29 11:44:29	ga_s2bm_ard_3-2-1_51JTN_2021-03-29_final
2021-03-29 11:44:33	ga_s2bm_ard_3-2-1_50JQT_2021-03-29_final
2021-03-29 11:44:36	ga_s2bm_ard_3-2-1_50JPT_2021-03-29_final
2021-03-29 11:44:39	ga_s2bm_ard_3-2-1_51JUM_2021-03-29_final
2021-03-29 11:44:51	ga_s2bm_ard_3-2-1_50JPS_2021-03-29_final
2021-03-29 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2021-03-29_final
2021-03-29 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2021-03-29_final
2021-03-29 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2021-03-29_final
2021-03-29 11:45:20	ga_s2bm_ard_3-2-1_50JPQ_2021-03-29_final
2021-03-29 11:45:28	ga_s2bm_ard_3-2-1_51JTJ_2021-03-29_final
2021-03-29 11:45:31	ga_s2bm_ard_3-2-1_50JQP_2021-03-29_final
2021-03-29 11:45:55	ga_s2bm_ard_3-2-1_51JTG_2021-03-29_final
2021-03-29 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-03-29_final
2021-03-29 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2021-03-29_final
2021-03-29 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-03-29_final
2021-03-29 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-03-29_final
2021-03-29 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-03-29_final
2021-03-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-03-29_final
2021-03-30 09:32:43	ga_s2bm_ard_3-2-1_56KNB_2021-03-30_final.stac-item
2021-03-30 09:32:45	ga_s2bm_ard_3-2-1_56KMB_2021-03-30_final.stac-item
2021-03-30 09:32:47	ga_s2bm_ard_3-2-1_56KLB_2021-03-30_final
2021-03-30 09:32:51	ga_s2bm_ard_3-2-1_56KNA_2021-03-30_final.stac-item
2021-03-30 09:32:54	ga_s2bm_ard_3-2-1_56KMA_2021-03-30_final
2021-03-30 09:32:57	ga_s2bm_ard_3-2-1_56KLA_2021-03-30_final
2021-03-30 09:33:11	ga_s2bm_ard_3-2-1_56KLV_2021-03-30_final
2021-03-30 09:33:23	ga_s2bm_ard_3-2-1_56KMU_2021-03-30_final
2021-03-30 09:33:34	ga_s2bm_ard_3-2-1_56JNT_2021-03-30_final
2021-03-30 09:33:37	ga_s2bm_ard_3-2-1_56JMT_2021-03-30_final
2021-03-30 09:33:48	ga_s2bm_ard_3-2-1_56JKT_2021-03-30_final
2021-03-30 09:33:55	ga_s2bm_ard_3-2-1_56JLS_2021-03-30_final
2021-03-30 09:34:24	ga_s2bm_ard_3-2-1_56JLQ_2021-03-30_final
2021-03-30 09:34:27	ga_s2bm_ard_3-2-1_56JKQ_2021-03-30_final
2021-03-30 09:34:42	ga_s2bm_ard_3-2-1_56JNN_2021-03-30_final
2021-03-30 09:34:50	ga_s2bm_ard_3-2-1_56JMN_2021-03-30_final
2021-03-30 09:35:11	ga_s2bm_ard_3-2-1_56JKM_2021-03-30_final
2021-03-30 09:35:41	ga_s2bm_ard_3-2-1_56HKK_2021-03-30_final
2021-03-30 09:35:43	ga_s2bm_ard_3-2-1_55HGE_2021-03-30_final
2021-03-30 09:35:55	ga_s2bm_ard_3-2-1_56HKJ_2021-03-30_final
2021-03-30 09:35:57	ga_s2bm_ard_3-2-1_55HGD_2021-03-30_final
2021-03-30 09:36:10	ga_s2bm_ard_3-2-1_56HKH_2021-03-30_final
2021-03-30 09:36:12	ga_s2bm_ard_3-2-1_55HGC_2021-03-30_final
2021-03-30 09:36:24	ga_s2bm_ard_3-2-1_56HKG_2021-03-30_final
2021-03-30 09:36:49	ga_s2bm_ard_3-2-1_55HEA_2021-03-30_final
2021-03-30 09:37:42	ga_s2bm_ard_3-2-1_55HFS_2021-03-30_final.stac-item
2021-03-30 09:37:46	ga_s2bm_ard_3-2-1_55HES_2021-03-30_final
2021-03-30 09:37:50	ga_s2bm_ard_3-2-1_55HDS_2021-03-30_final
2021-03-30 09:38:58	ga_s2bm_ard_3-2-1_55GEM_2021-03-30_final.stac-item
2021-03-30 09:39:01	ga_s2bm_ard_3-2-1_55GDM_2021-03-30_final.stac-item
2021-03-30 09:39:02	ga_s2bm_ard_3-2-1_55GCM_2021-03-30_final.stac-item
2021-03-30 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2021-03-30_final
2021-03-30 11:10:27	ga_s2bm_ard_3-2-1_52LGN_2021-03-30_final
2021-03-30 11:10:31	ga_s2bm_ard_3-2-1_52LFN_2021-03-30_final.stac-item
2021-03-30 11:10:45	ga_s2bm_ard_3-2-1_52LHL_2021-03-30_final
2021-03-30 11:10:56	ga_s2bm_ard_3-2-1_52LGL_2021-03-30_final
2021-03-30 11:11:00	ga_s2bm_ard_3-2-1_52LFL_2021-03-30_final
2021-03-30 11:11:03	ga_s2bm_ard_3-2-1_52LEL_2021-03-30_final.stac-item
2021-03-30 11:11:25	ga_s2bm_ard_3-2-1_52LGJ_2021-03-30_final
2021-03-30 11:11:49	ga_s2bm_ard_3-2-1_52KGG_2021-03-30_final
2021-03-30 11:12:52	ga_s2bm_ard_3-2-1_52KFC_2021-03-30_final
2021-03-30 11:12:59	ga_s2bm_ard_3-2-1_52KEC_2021-03-30_final
2021-03-30 11:13:03	ga_s2bm_ard_3-2-1_52KDC_2021-03-30_final
2021-03-30 11:13:06	ga_s2bm_ard_3-2-1_52KCC_2021-03-30_final
2021-03-30 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2021-03-30_final
2021-03-30 11:13:28	ga_s2bm_ard_3-2-1_52KEA_2021-03-30_final
2021-03-30 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2021-03-30_final
2021-03-30 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2021-03-30_final
2021-03-30 11:13:43	ga_s2bm_ard_3-2-1_52KEV_2021-03-30_final
2021-03-30 11:13:46	ga_s2bm_ard_3-2-1_52KDV_2021-03-30_final
2021-03-30 11:13:50	ga_s2bm_ard_3-2-1_52KCV_2021-03-30_final
2021-03-30 11:13:56	ga_s2bm_ard_3-2-1_52KEU_2021-03-30_final
2021-03-30 11:14:01	ga_s2bm_ard_3-2-1_52KDU_2021-03-30_final
2021-03-30 11:14:15	ga_s2bm_ard_3-2-1_52JDT_2021-03-30_final
2021-03-30 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2021-03-30_final
2021-03-30 11:14:22	ga_s2bm_ard_3-2-1_52JBT_2021-03-30_final
2021-03-30 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2021-03-30_final
2021-03-30 11:14:33	ga_s2bm_ard_3-2-1_52JCS_2021-03-30_final
2021-03-30 11:14:51	ga_s2bm_ard_3-2-1_52JBR_2021-03-30_final
2021-03-30 11:14:54	ga_s2bm_ard_3-2-1_51JYL_2021-03-30_final
2021-03-30 11:15:02	ga_s2bm_ard_3-2-1_52JCQ_2021-03-30_final
2021-03-30 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-03-30_final
2021-03-30 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2021-03-30_final
2021-03-30 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2021-03-30_final
2021-03-30 11:16:18	ga_s2bm_ard_3-2-1_52HBK_2021-03-30_final
2021-03-30 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2021-03-30_final
2021-03-30 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2021-03-30_final
2021-03-30 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2021-03-30_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