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
2023-11-01 09:55:49	ga_s2bm_ard_3-2-1_55HDE_2023-11-01_final.stac-item
2023-11-02 11:00:17	ga_s2bm_ard_3-2-1_53LKJ_2023-11-02_final.stac-item
2023-11-02 11:00:25	ga_s2bm_ard_3-2-1_53LMH_2023-11-02_final.stac-item
2023-11-02 11:00:51	ga_s2bm_ard_3-2-1_52LGM_2023-11-02_final.stac-item
2023-11-02 11:02:21	ga_s2bm_ard_3-2-1_52KFF_2023-11-02_final.stac-item
2023-11-02 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2023-11-02_final.stac-item
2023-11-02 11:03:16	ga_s2bm_ard_3-2-1_52KGB_2023-11-02_final.stac-item
2023-11-02 11:03:22	ga_s2bm_ard_3-2-1_52KEB_2023-11-02_final.stac-item
2023-11-02 11:03:30	ga_s2bm_ard_3-2-1_52KGA_2023-11-02_final.stac-item
2023-11-02 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2023-11-02_final.stac-item
2023-11-02 11:03:53	ga_s2bm_ard_3-2-1_52KEV_2023-11-02_final.stac-item
2023-11-02 11:03:56	ga_s2bm_ard_3-2-1_52KDV_2023-11-02_final.stac-item
2023-11-02 11:04:21	ga_s2bm_ard_3-2-1_52JET_2023-11-02_final.stac-item
2023-11-02 11:04:35	ga_s2bm_ard_3-2-1_52JES_2023-11-02_final.stac-item
2023-11-02 11:05:25	ga_s2bm_ard_3-2-1_52JCP_2023-11-02_final.stac-item
2023-11-02 11:05:37	ga_s2bm_ard_3-2-1_52JDN_2023-11-02_final.stac-item
2023-11-02 11:05:41	ga_s2bm_ard_3-2-1_52JFM_2023-11-02_final.stac-item
2023-11-02 11:06:02	ga_s2bm_ard_3-2-1_52JEL_2023-11-02_final.stac-item
2023-11-03 10:30:10	ga_s2bm_ard_3-2-1_54LXN_2023-11-03_final.stac-item
2023-11-03 10:30:47	ga_s2bm_ard_3-2-1_54LVL_2023-11-03_final.stac-item
2023-11-03 10:31:19	ga_s2bm_ard_3-2-1_54LUJ_2023-11-03_final.stac-item
2023-11-03 10:31:26	ga_s2bm_ard_3-2-1_54LUJ_2023-11-03_final.stac-item
2023-11-03 10:31:27	ga_s2bm_ard_3-2-1_54LWH_2023-11-03_final.stac-item
2023-11-03 10:31:34	ga_s2bm_ard_3-2-1_54LUH_2023-11-03_final.stac-item
2023-11-03 10:31:35	ga_s2bm_ard_3-2-1_54KWG_2023-11-03_final.stac-item
2023-11-03 10:31:49	ga_s2bm_ard_3-2-1_54KUG_2023-11-03_final.stac-item
2023-11-03 10:31:52	ga_s2bm_ard_3-2-1_54KTG_2023-11-03_final.stac-item
2023-11-03 10:31:53	ga_s2bm_ard_3-2-1_53KRB_2023-11-03_final.stac-item
2023-11-03 10:32:03	ga_s2bm_ard_3-2-1_54KUF_2023-11-03_final.stac-item
2023-11-03 10:32:35	ga_s2bm_ard_3-2-1_54KTD_2023-11-03_final.stac-item
2023-11-03 10:32:39	ga_s2bm_ard_3-2-1_54KVC_2023-11-03_final.stac-item
2023-11-03 10:32:50	ga_s2bm_ard_3-2-1_54KTC_2023-11-03_final.stac-item
2023-11-03 10:32:50	ga_s2bm_ard_3-2-1_53KRT_2023-11-03_final.stac-item
2023-11-03 10:32:52	ga_s2bm_ard_3-2-1_53KQT_2023-11-03_final.stac-item
2023-11-03 10:32:56	ga_s2bm_ard_3-2-1_53KRS_2023-11-03_final.stac-item
2023-11-03 10:32:57	ga_s2bm_ard_3-2-1_54KTC_2023-11-03_final.stac-item
2023-11-03 10:32:57	ga_s2bm_ard_3-2-1_53KRT_2023-11-03_final.stac-item
2023-11-03 10:32:57	ga_s2bm_ard_3-2-1_54KTB_2023-11-03_final.stac-item
2023-11-03 10:32:58	ga_s2bm_ard_3-2-1_53KQT_2023-11-03_final.stac-item
2023-11-03 10:33:04	ga_s2bm_ard_3-2-1_54KTB_2023-11-03_final.stac-item
2023-11-03 10:33:05	ga_s2bm_ard_3-2-1_53KRS_2023-11-03_final.stac-item
2023-11-03 10:33:19	ga_s2bm_ard_3-2-1_53KRR_2023-11-03_final.stac-item
2023-11-03 10:33:41	ga_s2bm_ard_3-2-1_53KPQ_2023-11-03_final.stac-item
2023-11-03 10:33:44	ga_s2bm_ard_3-2-1_54KUU_2023-11-03_final.stac-item
2023-11-03 10:33:48	ga_s2bm_ard_3-2-1_54KTU_2023-11-03_final.stac-item
2023-11-03 10:33:52	ga_s2bm_ard_3-2-1_53KQP_2023-11-03_final.stac-item
2023-11-03 10:33:54	ga_s2bm_ard_3-2-1_54JUT_2023-11-03_final.stac-item
2023-11-03 10:33:55	ga_s2bm_ard_3-2-1_53KPP_2023-11-03_final.stac-item
2023-11-03 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2023-11-03_final.stac-item
2023-11-03 10:34:10	ga_s2bm_ard_3-2-1_53JPN_2023-11-03_final.stac-item
2023-11-03 10:34:17	ga_s2bm_ard_3-2-1_53JRM_2023-11-03_final.stac-item
2023-11-03 10:34:21	ga_s2bm_ard_3-2-1_53JQM_2023-11-03_final.stac-item
2023-11-03 10:34:24	ga_s2bm_ard_3-2-1_53JPM_2023-11-03_final.stac-item
2023-11-03 10:34:28	ga_s2bm_ard_3-2-1_53JNM_2023-11-03_final.stac-item
2023-11-03 10:34:32	ga_s2bm_ard_3-2-1_54JTR_2023-11-03_final.stac-item
2023-11-03 10:34:42	ga_s2bm_ard_3-2-1_53JNL_2023-11-03_final.stac-item
2023-11-03 10:35:11	ga_s2bm_ard_3-2-1_54JTN_2023-11-03_final.stac-item
2023-11-03 10:35:17	ga_s2bm_ard_3-2-1_53JMJ_2023-11-03_final.stac-item
2023-11-03 10:35:18	ga_s2bm_ard_3-2-1_53JQH_2023-11-03_final.stac-item
2023-11-03 10:35:22	ga_s2bm_ard_3-2-1_53JPH_2023-11-03_final.stac-item
2023-11-03 10:35:26	ga_s2bm_ard_3-2-1_53JNH_2023-11-03_final.stac-item
2023-11-03 10:35:29	ga_s2bm_ard_3-2-1_53JMH_2023-11-03_final.stac-item
2023-11-03 10:35:37	ga_s2bm_ard_3-2-1_53JPG_2023-11-03_final.stac-item
2023-11-03 10:35:40	ga_s2bm_ard_3-2-1_53JNG_2023-11-03_final.stac-item
2023-11-03 10:35:59	ga_s2bm_ard_3-2-1_53HQE_2023-11-03_final.stac-item
2023-11-03 10:36:31	ga_s2bm_ard_3-2-1_53HLD_2023-11-03_final.stac-item
2023-11-03 10:36:49	ga_s2bm_ard_3-2-1_53HPB_2023-11-03_final.stac-item
2023-11-03 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2023-11-03_final.stac-item
2023-11-03 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2023-11-03_final.stac-item
2023-11-03 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2023-11-03_final.stac-item
2023-11-03 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2023-11-03_final.stac-item
2023-11-03 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-11-03_final.stac-item
2023-11-03 12:14:10	ga_s2bm_ard_3-2-1_50KKV_2023-11-03_final.stac-item
2023-11-03 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-11-03_final.stac-item
2023-11-03 12:14:21	ga_s2bm_ard_3-2-1_50KKU_2023-11-03_final.stac-item
2023-11-03 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-11-03_final.stac-item
2023-11-03 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-11-03_final.stac-item
2023-11-03 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2023-11-03_final.stac-item
2023-11-03 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-11-03_final.stac-item
2023-11-03 12:14:48	ga_s2bm_ard_3-2-1_49JFN_2023-11-03_final.stac-item
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final.stac-item
2023-11-03 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2023-11-03_final.stac-item
2023-11-03 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-11-03_final.stac-item
2023-11-12 09:27:15	ga_s2bm_ard_3-2-1_56HKD_2023-11-11_nrt.stac-item
2023-11-13 10:30:04	ga_s2bm_ard_3-2-1_54LUP_2023-11-13_nrt.stac-item
2023-11-13 10:30:19	ga_s2bm_ard_3-2-1_54LUN_2023-11-13_nrt.stac-item
2023-11-13 10:30:34	ga_s2bm_ard_3-2-1_54LUM_2023-11-13_nrt.stac-item
2023-11-13 10:30:48	ga_s2bm_ard_3-2-1_54LUL_2023-11-13_nrt.stac-item
2023-11-13 10:36:43	ga_s2bm_ard_3-2-1_53HLC_2023-11-13_nrt.stac-item
2023-11-13 10:36:58	ga_s2bm_ard_3-2-1_53HLB_2023-11-13_nrt.stac-item
2023-11-13 10:37:03	ga_s2bm_ard_3-2-1_53HNA_2023-11-13_nrt.stac-item
2023-11-13 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2023-11-13_nrt.stac-item
2023-11-13 12:10:30	ga_s2bm_ard_3-2-1_50LNP_2023-11-13_nrt.stac-item
2023-11-13 12:13:26	ga_s2bm_ard_3-2-1_49KFU_2023-11-13_nrt.stac-item
2023-11-13 12:13:29	ga_s2bm_ard_3-2-1_50KKC_2023-11-13_nrt.stac-item
2023-11-13 12:13:29	ga_s2bm_ard_3-2-1_49KHT_2023-11-13_nrt.stac-item
2023-11-13 12:13:31	ga_s2bm_ard_3-2-1_49KGT_2023-11-13_nrt.stac-item
2023-11-13 12:13:33	ga_s2bm_ard_3-2-1_49KFT_2023-11-13_nrt.stac-item
2023-11-13 12:13:44	ga_s2bm_ard_3-2-1_49KGS_2023-11-13_nrt.stac-item
2023-11-13 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2023-11-13_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