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

100 results

Time (local)	Label
2023-02-24 09:51:30	ga_s2bm_ard_3-2-1_55KGB_2023-02-24_final.stac-item
2023-02-24 09:52:55	ga_s2bm_ard_3-2-1_55KDS_2023-02-24_final.stac-item
2023-02-24 09:54:05	ga_s2bm_ard_3-2-1_55JDM_2023-02-24_final.stac-item
2023-02-24 09:56:31	ga_s2bm_ard_3-2-1_55HDB_2023-02-24_final.stac-item
2023-02-24 09:56:45	ga_s2bm_ard_3-2-1_55HDA_2023-02-24_final.stac-item
2023-02-24 09:57:03	ga_s2bm_ard_3-2-1_55HCV_2023-02-24_final.stac-item
2023-02-24 09:57:50	ga_s2bm_ard_3-2-1_55HBS_2023-02-24_final.stac-item
2023-02-24 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2023-02-24_final.stac-item
2023-02-24 11:36:03	ga_s2bm_ard_3-2-1_51JTG_2023-02-24_final.stac-item
2023-02-24 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2023-02-24_final.stac-item
2023-02-25 09:28:49	ga_s2bm_ard_3-2-1_55GEN_2023-02-24_final.stac-item
2023-02-25 11:01:56	ga_s2bm_ard_3-2-1_53KKB_2023-02-25_final.stac-item
2023-02-25 11:03:54	ga_s2bm_ard_3-2-1_52KDV_2023-02-25_final.stac-item
2023-02-26 10:33:46	ga_s2bm_ard_3-2-1_54KTU_2023-02-26_final.stac-item
2023-02-26 10:34:55	ga_s2bm_ard_3-2-1_53JNK_2023-02-26_final.stac-item
2023-02-26 10:36:18	ga_s2bm_ard_3-2-1_53HPD_2023-02-26_final.stac-item
2023-02-27 11:41:16	ga_s2bm_ard_3-2-1_51LVF_2023-02-27_final.stac-item
2023-02-27 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2023-02-27_final.stac-item
2023-02-27 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2023-02-27_final.stac-item
2023-02-27 11:43:36	ga_s2bm_ard_3-2-1_51KVR_2023-02-27_final.stac-item
2023-02-27 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2023-02-27_final.stac-item
2023-02-28 09:33:28	ga_s2bm_ard_3-2-1_56KLU_2023-02-28_final.stac-item
2023-02-28 09:34:09	ga_s2bm_ard_3-2-1_56JMR_2023-02-28_final.stac-item
2023-02-28 09:35:31	ga_s2bm_ard_3-2-1_55JGF_2023-02-28_final.stac-item
2023-02-28 09:37:30	ga_s2bm_ard_3-2-1_55HFT_2023-02-28_final.stac-item
2023-02-28 11:10:30	ga_s2bm_ard_3-2-1_52LGN_2023-02-28_final.stac-item
2023-02-28 11:13:52	ga_s2bm_ard_3-2-1_52KCV_2023-02-28_final.stac-item
2023-03-01 10:42:13	ga_s2bm_ard_3-2-1_53KRV_2023-03-01_final.stac-item
2023-03-01 10:42:37	ga_s2bm_ard_3-2-1_53KPU_2023-03-01_final.stac-item
2023-03-01 10:42:58	ga_s2bm_ard_3-2-1_53KNT_2023-03-01_final.stac-item
2023-03-01 10:44:13	ga_s2bm_ard_3-2-1_53JLN_2023-03-01_final.stac-item
2023-03-01 10:44:28	ga_s2bm_ard_3-2-1_53JLM_2023-03-01_final.stac-item
2023-03-02 10:11:28	ga_s2bm_ard_3-2-1_54LYH_2023-03-02_final.stac-item
2023-03-02 10:13:01	ga_s2bm_ard_3-2-1_54KYA_2023-03-02_final.stac-item
2023-03-02 10:13:03	ga_s2bm_ard_3-2-1_54KXB_2023-03-02_final.stac-item
2023-03-02 10:13:20	ga_s2bm_ard_3-2-1_54KZV_2023-03-02_final.stac-item
2023-03-03 09:41:47	ga_s2bm_ard_3-2-1_56KMF_2023-03-03_final.stac-item
2023-03-03 09:41:50	ga_s2bm_ard_3-2-1_56KKF_2023-03-03_final.stac-item
2023-03-03 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2023-03-03_final.stac-item
2023-03-03 09:42:59	ga_s2bm_ard_3-2-1_55KHR_2023-03-03_final.stac-item
2023-03-03 09:43:28	ga_s2bm_ard_3-2-1_56KKU_2023-03-03_final.stac-item
2023-03-03 09:47:30	ga_s2bm_ard_3-2-1_55HET_2023-03-03_final.stac-item
2023-03-03 11:21:25	ga_s2bm_ard_3-2-1_52LBK_2023-03-03_final.stac-item
2023-03-03 11:22:24	ga_s2bm_ard_3-2-1_52KBF_2023-03-03_final.stac-item
2023-03-03 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-03-03_final.stac-item
2023-03-04 10:50:22	ga_s2bm_ard_3-2-1_53LPH_2023-03-04_final.stac-item
2023-03-04 10:50:26	ga_s2bm_ard_3-2-1_53LNH_2023-03-04_final.stac-item
2023-03-04 10:50:29	ga_s2bm_ard_3-2-1_53LMH_2023-03-04_final.stac-item
2023-03-04 10:50:36	ga_s2bm_ard_3-2-1_53LPG_2023-03-04_final.stac-item
2023-03-04 10:50:40	ga_s2bm_ard_3-2-1_53LNG_2023-03-04_final.stac-item
2023-03-04 10:50:51	ga_s2bm_ard_3-2-1_53LPF_2023-03-04_final.stac-item
2023-03-04 10:51:01	ga_s2bm_ard_3-2-1_53LLF_2023-03-04_final.stac-item
2023-03-04 10:51:20	ga_s2bm_ard_3-2-1_53LPD_2023-03-04_final.stac-item
2023-03-04 10:51:36	ga_s2bm_ard_3-2-1_53LMC_2023-03-04_final.stac-item
2023-03-04 10:51:45	ga_s2bm_ard_3-2-1_53LLC_2023-03-04_final.stac-item
2023-03-04 10:52:28	ga_s2bm_ard_3-2-1_53KLV_2023-03-04_final.stac-item
2023-03-04 10:52:31	ga_s2bm_ard_3-2-1_53KKV_2023-03-04_final.stac-item
2023-03-04 10:52:33	ga_s2bm_ard_3-2-1_52KHE_2023-03-04_final.stac-item
2023-03-04 10:52:43	ga_s2bm_ard_3-2-1_53KLU_2023-03-04_final.stac-item
2023-03-04 10:52:46	ga_s2bm_ard_3-2-1_53KKU_2023-03-04_final.stac-item
2023-03-04 10:52:54	ga_s2bm_ard_3-2-1_53KMT_2023-03-04_final.stac-item
2023-03-04 10:53:08	ga_s2bm_ard_3-2-1_53KMS_2023-03-04_final.stac-item
2023-03-04 10:53:16	ga_s2bm_ard_3-2-1_52KHB_2023-03-04_final.stac-item
2023-03-04 10:53:44	ga_s2bm_ard_3-2-1_53KKQ_2023-03-04_final.stac-item
2023-03-04 10:53:51	ga_s2bm_ard_3-2-1_53KMP_2023-03-04_final.stac-item
2023-03-04 10:54:28	ga_s2bm_ard_3-2-1_53JKM_2023-03-04_final.stac-item
2023-03-04 10:54:39	ga_s2bm_ard_3-2-1_53JLL_2023-03-04_final.stac-item
2023-03-04 10:54:43	ga_s2bm_ard_3-2-1_53JKL_2023-03-04_final.stac-item
2023-03-04 10:54:46	ga_s2bm_ard_3-2-1_52JGR_2023-03-04_final.stac-item
2023-03-04 10:55:12	ga_s2bm_ard_3-2-1_53JKJ_2023-03-04_final.stac-item
2023-03-04 10:55:15	ga_s2bm_ard_3-2-1_52JGP_2023-03-04_final.stac-item
2023-03-04 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2023-03-04_final.stac-item
2023-03-17 09:26:23	ga_s2bm_ard_3-2-1_56HNG_2023-03-16_nrt.stac-item
2023-03-17 09:27:14	ga_s2bm_ard_3-2-1_56HLD_2023-03-16_nrt.stac-item
2023-03-17 11:00:20	ga_s2bm_ard_3-2-1_52LHP_2023-03-17_nrt.stac-item
2023-03-17 11:06:38	ga_s2bm_ard_3-2-1_52HBJ_2023-03-17_nrt.stac-item
2023-03-18 10:30:04	ga_s2bm_ard_3-2-1_54LVP_2023-03-18_nrt.stac-item
2023-03-18 10:30:07	ga_s2bm_ard_3-2-1_54LUP_2023-03-18_nrt.stac-item
2023-03-18 10:30:19	ga_s2bm_ard_3-2-1_54LVN_2023-03-18_nrt.stac-item
2023-03-18 10:30:37	ga_s2bm_ard_3-2-1_54LUM_2023-03-18_nrt.stac-item
2023-03-18 10:30:41	ga_s2bm_ard_3-2-1_54LTM_2023-03-18_nrt.stac-item
2023-03-18 10:30:51	ga_s2bm_ard_3-2-1_54LUL_2023-03-18_nrt.stac-item
2023-03-18 10:30:54	ga_s2bm_ard_3-2-1_54LTL_2023-03-18_nrt.stac-item
2023-03-18 10:31:06	ga_s2bm_ard_3-2-1_54LUK_2023-03-18_nrt.stac-item
2023-03-18 10:31:09	ga_s2bm_ard_3-2-1_54LTK_2023-03-18_nrt.stac-item
2023-03-18 10:31:13	ga_s2bm_ard_3-2-1_53LRE_2023-03-18_nrt.stac-item
2023-03-18 10:31:18	ga_s2bm_ard_3-2-1_54LTJ_2023-03-18_nrt.stac-item
2023-03-18 10:31:19	ga_s2bm_ard_3-2-1_53LRD_2023-03-18_nrt.stac-item
2023-03-18 10:31:25	ga_s2bm_ard_3-2-1_54LTJ_2023-03-18_nrt.stac-item
2023-03-18 10:31:26	ga_s2bm_ard_3-2-1_53LRD_2023-03-18_nrt.stac-item
2023-03-18 10:31:38	ga_s2bm_ard_3-2-1_54LTH_2023-03-18_nrt.stac-item
2023-03-18 10:31:39	ga_s2bm_ard_3-2-1_53LRC_2023-03-18_nrt.stac-item
2023-03-18 10:36:46	ga_s2bm_ard_3-2-1_53HLC_2023-03-18_nrt.stac-item
2023-03-18 10:37:01	ga_s2bm_ard_3-2-1_53HLB_2023-03-18_nrt.stac-item
2023-03-18 10:37:07	ga_s2bm_ard_3-2-1_53HNA_2023-03-18_nrt.stac-item
2023-03-18 10:37:09	ga_s2bm_ard_3-2-1_53HMA_2023-03-18_nrt.stac-item
2023-03-18 10:37:11	ga_s2bm_ard_3-2-1_53HLA_2023-03-18_nrt.stac-item
2023-03-18 10:37:13	ga_s2bm_ard_3-2-1_53HNV_2023-03-18_nrt.stac-item
2023-03-18 12:13:33	ga_s2bm_ard_3-2-1_50KKC_2023-03-18_nrt.stac-item
2023-03-18 12:15:26	ga_s2bm_ard_3-2-1_49JFK_2023-03-18_nrt.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