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:

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First 100 results (query limit)

Time (local)	Label
2023-11-02 11:05:47	ga_s2bm_ard_3-2-1_52JEM_2023-11-02_final.stac-item
2023-11-02 11:05:51	ga_s2bm_ard_3-2-1_52JDM_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
2023-11-02 11:06:06	ga_s2bm_ard_3-2-1_52JDL_2023-11-02_final.stac-item
2023-11-02 11:06:09	ga_s2bm_ard_3-2-1_52JCL_2023-11-02_final.stac-item
2023-11-02 11:06:12	ga_s2bm_ard_3-2-1_52JBL_2023-11-02_final.stac-item
2023-11-02 11:06:17	ga_s2bm_ard_3-2-1_52HEK_2023-11-02_nrt.stac-item
2023-11-02 11:06:20	ga_s2bm_ard_3-2-1_52HDK_2023-11-02_final.stac-item
2023-11-02 11:06:26	ga_s2bm_ard_3-2-1_52HBK_2023-11-02_final.stac-item
2023-11-02 11:06:30	ga_s2bm_ard_3-2-1_52HEJ_2023-11-02_nrt.stac-item
2023-11-02 11:06:33	ga_s2bm_ard_3-2-1_52HDJ_2023-11-02_nrt.stac-item
2023-11-03 10:30:29	ga_s2bm_ard_3-2-1_54LWM_2023-11-03_final.stac-item
2023-11-03 10:30:33	ga_s2bm_ard_3-2-1_54LVM_2023-11-03_final.stac-item
2023-11-03 10:30:43	ga_s2bm_ard_3-2-1_54LWL_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 10:30:50	ga_s2bm_ard_3-2-1_54LUL_2023-11-03_nrt.stac-item
2023-11-03 10:30:53	ga_s2bm_ard_3-2-1_54LTL_2023-11-03_nrt.stac-item
2023-11-03 10:31:08	ga_s2bm_ard_3-2-1_54LTK_2023-11-03_nrt.stac-item
2023-11-03 10:31:12	ga_s2bm_ard_3-2-1_54LWJ_2023-11-03_final.stac-item
2023-11-03 10:31:16	ga_s2bm_ard_3-2-1_54LVJ_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 10:31:21	ga_s2bm_ard_3-2-1_54LTJ_2023-11-03_nrt.stac-item
2023-11-03 10:31:22	ga_s2bm_ard_3-2-1_53LRD_2023-11-03_nrt.stac-item
2023-11-03 10:31:25	ga_s2bm_ard_3-2-1_54LVH_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 10:31:26	ga_s2bm_ard_3-2-1_54LUH_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 10:31:27	ga_s2bm_ard_3-2-1_54LTJ_2023-11-03_nrt.stac-item
2023-11-03 10:31:28	ga_s2bm_ard_3-2-1_53LRD_2023-11-03_nrt.stac-item
2023-11-03 10:31:31	ga_s2bm_ard_3-2-1_54LVH_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 10:31:37	ga_s2bm_ard_3-2-1_54LTH_2023-11-03_nrt.stac-item
2023-11-03 10:31:38	ga_s2bm_ard_3-2-1_53LRC_2023-11-03_nrt.stac-item
2023-11-03 10:31:45	ga_s2bm_ard_3-2-1_54KVG_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 10:32:00	ga_s2bm_ard_3-2-1_54KVF_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 10:32:18	ga_s2bm_ard_3-2-1_54KUE_2023-11-03_final.stac-item
2023-11-03 10:32:28	ga_s2bm_ard_3-2-1_54KVD_2023-11-03_final.stac-item
2023-11-03 10:32:32	ga_s2bm_ard_3-2-1_54KUD_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 10:32:36	ga_s2bm_ard_3-2-1_53KRU_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 10:32:39	ga_s2bm_ard_3-2-1_53KQU_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_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 10:33:05	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 10:33:34	ga_s2bm_ard_3-2-1_53KRQ_2023-11-03_final.stac-item
2023-11-03 10:33:48	ga_s2bm_ard_3-2-1_53KRP_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 10:34:02	ga_s2bm_ard_3-2-1_53JRN_2023-11-03_final.stac-item
2023-11-03 10:34:02	ga_s2bm_ard_3-2-1_54JTT_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 10:34:16	ga_s2bm_ard_3-2-1_53JNN_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 10:34:24	ga_s2bm_ard_3-2-1_53JPM_2023-11-03_final.stac-item
2023-11-03 10:34:35	ga_s2bm_ard_3-2-1_53JQL_2023-11-03_final.stac-item
2023-11-03 10:34:39	ga_s2bm_ard_3-2-1_53JPL_2023-11-03_final.stac-item
2023-11-03 10:34:46	ga_s2bm_ard_3-2-1_54JTQ_2023-11-03_final.stac-item
2023-11-03 10:34:50	ga_s2bm_ard_3-2-1_53JQK_2023-11-03_final.stac-item
2023-11-03 10:34:57	ga_s2bm_ard_3-2-1_53JNK_2023-11-03_final.stac-item
2023-11-03 10:35:00	ga_s2bm_ard_3-2-1_54JTP_2023-11-03_final.stac-item
2023-11-03 10:35:04	ga_s2bm_ard_3-2-1_53JQJ_2023-11-03_final.stac-item
2023-11-03 10:35:08	ga_s2bm_ard_3-2-1_53JPJ_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 10:35:11	ga_s2bm_ard_3-2-1_53JNJ_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 10:35:26	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 10:35:33	ga_s2bm_ard_3-2-1_53JQG_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 10:35:43	ga_s2bm_ard_3-2-1_53JMG_2023-11-03_final.stac-item
2023-11-03 10:35:51	ga_s2bm_ard_3-2-1_53JPF_2023-11-03_final.stac-item
2023-11-03 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2023-11-03_final.stac-item
2023-11-03 10:35:58	ga_s2bm_ard_3-2-1_53JMF_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 10:36:09	ga_s2bm_ard_3-2-1_53HNE_2023-11-03_final.stac-item
2023-11-03 10:36:13	ga_s2bm_ard_3-2-1_53HME_2023-11-03_final.stac-item
2023-11-03 10:36:19	ga_s2bm_ard_3-2-1_53HLE_2023-11-03_final.stac-item
2023-11-03 10:36:20	ga_s2bm_ard_3-2-1_53HPD_2023-11-03_final.stac-item
2023-11-03 10:36:24	ga_s2bm_ard_3-2-1_53HND_2023-11-03_final.stac-item
2023-11-03 10:36:27	ga_s2bm_ard_3-2-1_53HMD_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 10:36:53	ga_s2bm_ard_3-2-1_53HNB_2023-11-03_final.stac-item
2023-11-03 10:36:56	ga_s2bm_ard_3-2-1_53HMB_2023-11-03_final.stac-item
2023-11-03 10:37:00	ga_s2bm_ard_3-2-1_53HLB_2023-11-03_nrt.stac-item
2023-11-03 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2023-11-03_final.stac-item
2023-11-03 10:37:04	ga_s2bm_ard_3-2-1_53HNA_2023-11-03_nrt.stac-item
2023-11-03 10:37:06	ga_s2bm_ard_3-2-1_53HMA_2023-11-03_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

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