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
2023-01-17 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2023-01-17_final.stac-item
2023-01-17 12:14:28	ga_s2bm_ard_3-2-1_49JHN_2023-01-17_final.stac-item
2023-01-18 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2023-01-18_final.stac-item
2023-01-18 11:41:23	ga_s2bm_ard_3-2-1_51LWE_2023-01-18_final.stac-item
2023-01-18 11:42:19	ga_s2bm_ard_3-2-1_51KWA_2023-01-18_final.stac-item
2023-01-18 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2023-01-18_final.stac-item
2023-01-18 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2023-01-18_final.stac-item
2023-01-18 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2023-01-18_final.stac-item
2023-01-18 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2023-01-18_final.stac-item
2023-01-18 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2023-01-18_final.stac-item
2023-01-18 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2023-01-18_final.stac-item
2023-01-18 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2023-01-18_final.stac-item
2023-01-18 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2023-01-18_final.stac-item
2023-01-18 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2023-01-18_final.stac-item
2023-01-18 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2023-01-18_final.stac-item
2023-01-18 11:43:33	ga_s2bm_ard_3-2-1_50KQB_2023-01-18_final.stac-item
2023-01-18 11:43:44	ga_s2bm_ard_3-2-1_51KTR_2023-01-18_final.stac-item
2023-01-18 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2023-01-18_final.stac-item
2023-01-18 11:43:48	ga_s2bm_ard_3-2-1_50KQA_2023-01-18_final.stac-item
2023-01-18 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2023-01-18_final.stac-item
2023-01-18 11:43:59	ga_s2bm_ard_3-2-1_51KTQ_2023-01-18_final.stac-item
2023-01-18 11:43:59	ga_s2bm_ard_3-2-1_50KRV_2023-01-18_final.stac-item
2023-01-18 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2023-01-18_final.stac-item
2023-01-18 11:44:07	ga_s2bm_ard_3-2-1_50KPV_2023-01-18_final.stac-item
2023-01-18 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2023-01-18_final.stac-item
2023-01-18 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2023-01-18_final.stac-item
2023-01-18 11:44:17	ga_s2bm_ard_3-2-1_50KQU_2023-01-18_final.stac-item
2023-01-18 11:44:20	ga_s2bm_ard_3-2-1_50KPU_2023-01-18_final.stac-item
2023-01-18 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2023-01-18_final.stac-item
2023-01-18 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2023-01-18_final.stac-item
2023-01-18 11:44:32	ga_s2bm_ard_3-2-1_50JQT_2023-01-18_final.stac-item
2023-01-18 11:44:35	ga_s2bm_ard_3-2-1_50JPT_2023-01-18_final.stac-item
2023-01-18 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2023-01-18_final.stac-item
2023-01-18 11:44:46	ga_s2bm_ard_3-2-1_50JQS_2023-01-18_final.stac-item
2023-01-18 11:44:50	ga_s2bm_ard_3-2-1_50JPS_2023-01-18_final.stac-item
2023-01-18 11:44:57	ga_s2bm_ard_3-2-1_51JTL_2023-01-18_final.stac-item
2023-01-18 11:45:01	ga_s2bm_ard_3-2-1_50JQR_2023-01-18_final.stac-item
2023-01-18 11:45:04	ga_s2bm_ard_3-2-1_50JPR_2023-01-18_final.stac-item
2023-01-18 11:45:11	ga_s2bm_ard_3-2-1_51JTK_2023-01-18_final.stac-item
2023-01-18 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2023-01-18_final.stac-item
2023-01-18 11:45:18	ga_s2bm_ard_3-2-1_50JPQ_2023-01-18_final.stac-item
2023-01-18 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2023-01-18_final.stac-item
2023-01-18 11:45:29	ga_s2bm_ard_3-2-1_50JQP_2023-01-18_final.stac-item
2023-01-18 11:45:33	ga_s2bm_ard_3-2-1_50JPP_2023-01-18_final.stac-item
2023-01-18 11:45:36	ga_s2bm_ard_3-2-1_50JNP_2023-01-18_final.stac-item
2023-01-18 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2023-01-18_final.stac-item
2023-01-18 11:45:47	ga_s2bm_ard_3-2-1_50JPN_2023-01-18_final.stac-item
2023-01-18 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2023-01-18_final.stac-item
2023-01-18 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2023-01-18_final.stac-item
2023-01-18 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2023-01-18_final.stac-item
2023-01-18 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2023-01-18_final.stac-item
2023-01-18 11:46:05	ga_s2bm_ard_3-2-1_51JTF_2023-01-18_final.stac-item
2023-01-18 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2023-01-18_final.stac-item
2023-01-18 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2023-01-18_final.stac-item
2023-01-18 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2023-01-18_final.stac-item
2023-01-18 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2023-01-18_final.stac-item
2023-01-18 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2023-01-18_final.stac-item
2023-01-18 11:46:23	ga_s2bm_ard_3-2-1_50JML_2023-01-18_final.stac-item
2023-01-18 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2023-01-18_final.stac-item
2023-01-18 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-01-18_final.stac-item
2023-01-18 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2023-01-18_final.stac-item
2023-01-18 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2023-01-18_final.stac-item
2023-01-18 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2023-01-18_final.stac-item
2023-01-18 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2023-01-18_final.stac-item
2023-01-18 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2023-01-18_final.stac-item
2023-01-18 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-01-18_final.stac-item
2023-01-18 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-01-18_final.stac-item
2023-01-18 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2023-01-18_final.stac-item
2023-01-18 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-01-18_final.stac-item
2023-01-18 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-01-18_final.stac-item
2023-01-18 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2023-01-18_final.stac-item
2023-01-19 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2023-01-19_final.stac-item
2023-01-19 11:14:32	ga_s2bm_ard_3-2-1_51JYM_2023-01-19_final.stac-item
2023-01-19 11:14:39	ga_s2bm_ard_3-2-1_51JYM_2023-01-19_final.stac-item
2023-01-19 11:14:53	ga_s2bm_ard_3-2-1_51JYL_2023-01-19_final.stac-item
2023-01-19 11:15:40	ga_s2bm_ard_3-2-1_51JXH_2023-01-19_final.stac-item
2023-01-19 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2023-01-19_final.stac-item
2023-01-19 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2023-01-19_final.stac-item
2023-01-19 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2023-01-19_final.stac-item
2023-01-19 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2023-01-19_final.stac-item
2023-02-03 12:00:20	ga_s2bm_ard_3-2-1_50LRP_2023-02-03_nrt.stac-item
2023-02-03 12:00:30	ga_s2bm_ard_3-2-1_50LQP_2023-02-03_nrt.stac-item
2023-02-03 12:00:44	ga_s2bm_ard_3-2-1_50LQN_2023-02-03_nrt.stac-item
2023-02-03 12:01:09	ga_s2bm_ard_3-2-1_50LMM_2023-02-03_nrt.stac-item
2023-02-03 12:01:24	ga_s2bm_ard_3-2-1_50LML_2023-02-03_nrt.stac-item
2023-02-03 12:02:53	ga_s2bm_ard_3-2-1_50KNE_2023-02-03_nrt.stac-item
2023-02-03 12:02:55	ga_s2bm_ard_3-2-1_50KME_2023-02-03_nrt.stac-item
2023-02-03 12:02:56	ga_s2bm_ard_3-2-1_50KLE_2023-02-03_nrt.stac-item
2023-02-03 12:02:59	ga_s2bm_ard_3-2-1_50KKE_2023-02-03_nrt.stac-item
2023-02-03 12:03:02	ga_s2bm_ard_3-2-1_50KND_2023-02-03_nrt.stac-item
2023-02-03 12:03:05	ga_s2bm_ard_3-2-1_50KMD_2023-02-03_nrt.stac-item
2023-02-03 12:03:09	ga_s2bm_ard_3-2-1_50KLD_2023-02-03_nrt.stac-item
2023-02-03 12:03:14	ga_s2bm_ard_3-2-1_49KHU_2023-02-03_nrt.stac-item
2023-02-03 12:03:26	ga_s2bm_ard_3-2-1_50KKC_2023-02-03_nrt.stac-item
2023-02-03 12:05:16	ga_s2bm_ard_3-2-1_49JFL_2023-02-03_nrt.stac-item
2023-02-03 12:05:29	ga_s2bm_ard_3-2-1_49JFK_2023-02-03_nrt.stac-item
2023-02-03 12:05:59	ga_s2bm_ard_3-2-1_49JFH_2023-02-03_nrt.stac-item
2023-02-03 12:06:09	ga_s2bm_ard_3-2-1_49JGG_2023-02-03_nrt.stac-item
2023-02-03 12:06:13	ga_s2bm_ard_3-2-1_49JFG_2023-02-03_nrt.stac-item
2023-02-03 12:06:21	ga_s2bm_ard_3-2-1_49JGF_2023-02-03_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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