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
2019-08-15 11:00:28	ga_s2bm_ard_3-2-1_53LMH_2019-08-15_final.stac-item
2019-08-15 11:00:32	ga_s2bm_ard_3-2-1_53LLH_2019-08-15_final.stac-item
2019-08-15 11:00:35	ga_s2bm_ard_3-2-1_53LKH_2019-08-15_final
2019-08-15 11:00:37	ga_s2bm_ard_3-2-1_52LHN_2019-08-15_final
2019-08-15 11:00:43	ga_s2bm_ard_3-2-1_52LGN_2019-08-15_final
2019-08-15 11:00:46	ga_s2bm_ard_3-2-1_53LLG_2019-08-15_final
2019-08-15 11:00:50	ga_s2bm_ard_3-2-1_53LKG_2019-08-15_final
2019-08-15 11:00:51	ga_s2bm_ard_3-2-1_52LHM_2019-08-15_final
2019-08-15 11:00:55	ga_s2bm_ard_3-2-1_53LMF_2019-08-15_final
2019-08-15 11:00:55	ga_s2bm_ard_3-2-1_52LGM_2019-08-15_final
2019-08-15 11:01:04	ga_s2bm_ard_3-2-1_53LKF_2019-08-15_final
2019-08-15 11:01:06	ga_s2bm_ard_3-2-1_52LHL_2019-08-15_final
2019-08-15 11:01:09	ga_s2bm_ard_3-2-1_52LGL_2019-08-15_final
2019-08-15 11:02:02	ga_s2bm_ard_3-2-1_53KKB_2019-08-15_final
2019-08-15 11:02:03	ga_s2bm_ard_3-2-1_52KHG_2019-08-15_final
2019-08-15 11:02:07	ga_s2bm_ard_3-2-1_52KGG_2019-08-15_final
2019-08-15 11:02:10	ga_s2bm_ard_3-2-1_53KLA_2019-08-15_final
2019-08-15 11:02:17	ga_s2bm_ard_3-2-1_53KKA_2019-08-15_final
2019-08-15 11:02:18	ga_s2bm_ard_3-2-1_52KHF_2019-08-15_final
2019-08-15 11:02:21	ga_s2bm_ard_3-2-1_52KGF_2019-08-15_final
2019-08-15 11:02:25	ga_s2bm_ard_3-2-1_52KFF_2019-08-15_final
2019-08-15 11:02:31	ga_s2bm_ard_3-2-1_53KKV_2019-08-15_final
2019-08-15 11:02:32	ga_s2bm_ard_3-2-1_52KHE_2019-08-15_final
2019-08-15 11:02:36	ga_s2bm_ard_3-2-1_52KGE_2019-08-15_final
2019-08-15 11:02:46	ga_s2bm_ard_3-2-1_53KKU_2019-08-15_final
2019-08-15 11:02:46	ga_s2bm_ard_3-2-1_52KHD_2019-08-15_final
2019-08-15 11:02:50	ga_s2bm_ard_3-2-1_52KGD_2019-08-15_final
2019-08-15 11:03:08	ga_s2bm_ard_3-2-1_52KFC_2019-08-15_final
2019-08-15 11:03:16	ga_s2bm_ard_3-2-1_52KHB_2019-08-15_final
2019-08-15 11:03:19	ga_s2bm_ard_3-2-1_52KGB_2019-08-15_final
2019-08-15 11:03:23	ga_s2bm_ard_3-2-1_52KFB_2019-08-15_final
2019-08-15 11:03:25	ga_s2bm_ard_3-2-1_53KKR_2019-08-15_final
2019-08-15 11:03:34	ga_s2bm_ard_3-2-1_52KGA_2019-08-15_final
2019-08-15 11:03:37	ga_s2bm_ard_3-2-1_52KFA_2019-08-15_final
2019-08-15 11:03:39	ga_s2bm_ard_3-2-1_52KHV_2019-08-15_final
2019-08-15 11:03:41	ga_s2bm_ard_3-2-1_52KEA_2019-08-15_final
2019-08-15 11:03:48	ga_s2bm_ard_3-2-1_52KGV_2019-08-15_final
2019-08-15 11:03:52	ga_s2bm_ard_3-2-1_52KFV_2019-08-15_final
2019-08-15 11:04:02	ga_s2bm_ard_3-2-1_52KGU_2019-08-15_final
2019-08-15 11:04:06	ga_s2bm_ard_3-2-1_52KFU_2019-08-15_final
2019-08-15 11:04:17	ga_s2bm_ard_3-2-1_52JGT_2019-08-15_final
2019-08-15 11:04:21	ga_s2bm_ard_3-2-1_52JFT_2019-08-15_final
2019-08-15 11:04:24	ga_s2bm_ard_3-2-1_52JET_2019-08-15_final
2019-08-15 11:04:27	ga_s2bm_ard_3-2-1_52JDT_2019-08-15_final
2019-08-15 11:04:31	ga_s2bm_ard_3-2-1_52JGS_2019-08-15_final
2019-08-15 11:04:35	ga_s2bm_ard_3-2-1_52JFS_2019-08-15_final
2019-08-15 11:04:39	ga_s2bm_ard_3-2-1_52JES_2019-08-15_final
2019-08-15 11:04:42	ga_s2bm_ard_3-2-1_52JDS_2019-08-15_final
2019-08-15 11:06:43	ga_s2bm_ard_3-2-1_51HYD_2019-08-15_final
2019-08-16 10:29:46	ga_s2bm_ard_3-2-1_54LXQ_2019-08-16_final
2019-08-16 10:29:49	ga_s2bm_ard_3-2-1_54LWQ_2019-08-16_final.stac-item
2019-08-16 10:30:13	ga_s2bm_ard_3-2-1_54LXN_2019-08-16_final
2019-08-16 10:30:18	ga_s2bm_ard_3-2-1_54LWN_2019-08-16_final
2019-08-16 10:30:24	ga_s2bm_ard_3-2-1_54LXM_2019-08-16_final
2019-08-16 10:30:47	ga_s2bm_ard_3-2-1_54LWL_2019-08-16_final
2019-08-16 10:30:51	ga_s2bm_ard_3-2-1_54LVL_2019-08-16_final.stac-item
2019-08-16 10:31:55	ga_s2bm_ard_3-2-1_54KTG_2019-08-16_final
2019-08-16 10:31:56	ga_s2bm_ard_3-2-1_53KRB_2019-08-16_final
2019-08-16 10:32:06	ga_s2bm_ard_3-2-1_54KUF_2019-08-16_final
2019-08-16 10:32:10	ga_s2bm_ard_3-2-1_54KTF_2019-08-16_final
2019-08-16 10:32:11	ga_s2bm_ard_3-2-1_53KRA_2019-08-16_final
2019-08-16 10:32:17	ga_s2bm_ard_3-2-1_53KQA_2019-08-16_final
2019-08-16 10:32:24	ga_s2bm_ard_3-2-1_54KTE_2019-08-16_final
2019-08-16 10:32:25	ga_s2bm_ard_3-2-1_53KRV_2019-08-16_final
2019-08-16 10:32:29	ga_s2bm_ard_3-2-1_53KQV_2019-08-16_final
2019-08-16 10:32:39	ga_s2bm_ard_3-2-1_54KTD_2019-08-16_final
2019-08-16 10:32:40	ga_s2bm_ard_3-2-1_53KRU_2019-08-16_final
2019-08-16 10:32:43	ga_s2bm_ard_3-2-1_53KQU_2019-08-16_final
2019-08-16 10:32:50	ga_s2bm_ard_3-2-1_54KUC_2019-08-16_final
2019-08-16 10:33:04	ga_s2bm_ard_3-2-1_54KUB_2019-08-16_final
2019-08-16 10:33:08	ga_s2bm_ard_3-2-1_53KRS_2019-08-16_final
2019-08-16 10:33:12	ga_s2bm_ard_3-2-1_53KQS_2019-08-16_final
2019-08-16 10:33:18	ga_s2bm_ard_3-2-1_53KPS_2019-08-16_final
2019-08-16 10:33:19	ga_s2bm_ard_3-2-1_54KUA_2019-08-16_final
2019-08-16 10:33:23	ga_s2bm_ard_3-2-1_54KTA_2019-08-16_final
2019-08-16 10:33:26	ga_s2bm_ard_3-2-1_53KQR_2019-08-16_final
2019-08-16 10:33:30	ga_s2bm_ard_3-2-1_53KPR_2019-08-16_final
2019-08-16 10:33:34	ga_s2bm_ard_3-2-1_54KUV_2019-08-16_final
2019-08-16 10:33:37	ga_s2bm_ard_3-2-1_54KTV_2019-08-16_final
2019-08-16 10:33:37	ga_s2bm_ard_3-2-1_53KRQ_2019-08-16_final
2019-08-16 10:33:41	ga_s2bm_ard_3-2-1_53KQQ_2019-08-16_final
2019-08-16 10:33:47	ga_s2bm_ard_3-2-1_54KUU_2019-08-16_final
2019-08-16 10:33:52	ga_s2bm_ard_3-2-1_54KTU_2019-08-16_final
2019-08-16 10:33:55	ga_s2bm_ard_3-2-1_53KQP_2019-08-16_final
2019-08-16 10:33:58	ga_s2bm_ard_3-2-1_54JUT_2019-08-16_final
2019-08-16 10:33:59	ga_s2bm_ard_3-2-1_53KPP_2019-08-16_final
2019-08-16 10:34:06	ga_s2bm_ard_3-2-1_54JTT_2019-08-16_final
2019-08-16 10:34:10	ga_s2bm_ard_3-2-1_53JQN_2019-08-16_final
2019-08-16 10:34:13	ga_s2bm_ard_3-2-1_53JPN_2019-08-16_final
2019-08-16 10:34:20	ga_s2bm_ard_3-2-1_53JNN_2019-08-16_final
2019-08-16 10:34:21	ga_s2bm_ard_3-2-1_54JTS_2019-08-16_final
2019-08-16 10:34:23	ga_s2bm_ard_3-2-1_53JQM_2019-08-16_final
2019-08-16 10:34:25	ga_s2bm_ard_3-2-1_53JPM_2019-08-16_final
2019-08-16 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2019-08-16_final
2019-08-16 10:34:28	ga_s2bm_ard_3-2-1_53JRM_2019-08-16_final
2019-08-16 10:34:28	ga_s2bm_ard_3-2-1_54JTS_2019-08-16_final
2019-08-16 10:34:30	ga_s2bm_ard_3-2-1_53JQM_2019-08-16_final
2019-08-16 10:34:31	ga_s2bm_ard_3-2-1_53JPM_2019-08-16_final
2019-08-16 10:34:33	ga_s2bm_ard_3-2-1_53JNM_2019-08-16_final
2019-08-16 10:36:45	ga_s2bm_ard_3-2-1_53HMC_2019-08-16_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