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
2023-12-16 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2023-12-16_final.stac-item
2023-12-17 10:17:36	ga_s2bm_ard_3-2-1_54HVC_2023-12-17_final.stac-item
2023-12-17 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-12-17_final.stac-item
2023-12-19 10:52:38	ga_s2bm_ard_3-2-1_53KMU_2023-12-19_final.stac-item
2023-12-20 10:25:53	ga_s2bm_ard_3-2-1_53JPF_2023-12-20_final.stac-item
2023-12-20 10:26:02	ga_s2bm_ard_3-2-1_54HTK_2023-12-20_final.stac-item
2023-12-20 10:26:47	ga_s2bm_ard_3-2-1_54HTG_2023-12-20_final.stac-item
2023-12-21 09:56:40	ga_s2bm_ard_3-2-1_54HYG_2023-12-21_final.stac-item
2023-12-21 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2023-12-21_final.stac-item
2023-12-21 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2023-12-21_final.stac-item
2023-12-21 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-12-21_final.stac-item
2023-12-21 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2023-12-21_final.stac-item
2023-12-21 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2023-12-21_final.stac-item
2023-12-21 11:35:42	ga_s2bm_ard_3-2-1_51JVH_2023-12-21_final.stac-item
2023-12-21 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2023-12-21_final.stac-item
2023-12-21 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2023-12-21_final.stac-item
2023-12-22 11:00:44	ga_s2bm_ard_3-2-1_53LKG_2023-12-22_final.stac-item
2023-12-22 11:00:49	ga_s2bm_ard_3-2-1_53LMF_2023-12-22_final.stac-item
2023-12-22 11:01:03	ga_s2bm_ard_3-2-1_52LGL_2023-12-22_final.stac-item
2023-12-22 11:01:24	ga_s2bm_ard_3-2-1_53LLD_2023-12-22_final.stac-item
2023-12-22 11:02:30	ga_s2bm_ard_3-2-1_52KGE_2023-12-22_final.stac-item
2023-12-22 11:02:53	ga_s2bm_ard_3-2-1_52KED_2023-12-22_final.stac-item
2023-12-22 11:03:17	ga_s2bm_ard_3-2-1_52KFB_2023-12-22_final.stac-item
2023-12-22 11:03:21	ga_s2bm_ard_3-2-1_52KHA_2023-12-22_final.stac-item
2023-12-22 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2023-12-22_final.stac-item
2023-12-22 11:05:06	ga_s2bm_ard_3-2-1_52JDQ_2023-12-22_final.stac-item
2023-12-22 11:05:20	ga_s2bm_ard_3-2-1_52JDP_2023-12-22_final.stac-item
2023-12-22 11:05:23	ga_s2bm_ard_3-2-1_52JCP_2023-12-22_final.stac-item
2023-12-22 11:05:46	ga_s2bm_ard_3-2-1_52JEM_2023-12-22_final.stac-item
2023-12-22 11:06:00	ga_s2bm_ard_3-2-1_52JEL_2023-12-22_final.stac-item
2023-12-23 10:30:31	ga_s2bm_ard_3-2-1_54LVM_2023-12-23_final.stac-item
2023-12-23 10:31:50	ga_s2bm_ard_3-2-1_54KTG_2023-12-23_final.stac-item
2023-12-23 10:31:51	ga_s2bm_ard_3-2-1_53KRB_2023-12-23_final.stac-item
2023-12-23 10:32:06	ga_s2bm_ard_3-2-1_53KRA_2023-12-23_final.stac-item
2023-12-23 10:32:20	ga_s2bm_ard_3-2-1_53KRV_2023-12-23_final.stac-item
2023-12-23 10:32:24	ga_s2bm_ard_3-2-1_53KQV_2023-12-23_final.stac-item
2023-12-23 10:32:26	ga_s2bm_ard_3-2-1_54KVD_2023-12-23_final.stac-item
2023-12-23 10:32:34	ga_s2bm_ard_3-2-1_54KTD_2023-12-23_final.stac-item
2023-12-23 10:32:34	ga_s2bm_ard_3-2-1_53KRU_2023-12-23_final.stac-item
2023-12-23 10:32:38	ga_s2bm_ard_3-2-1_54KVC_2023-12-23_final.stac-item
2023-12-23 10:32:45	ga_s2bm_ard_3-2-1_54KUC_2023-12-23_final.stac-item
2023-12-23 10:32:48	ga_s2bm_ard_3-2-1_54KTC_2023-12-23_final.stac-item
2023-12-23 10:32:59	ga_s2bm_ard_3-2-1_54KUB_2023-12-23_final.stac-item
2023-12-23 10:33:03	ga_s2bm_ard_3-2-1_54KTB_2023-12-23_final.stac-item
2023-12-23 10:33:13	ga_s2bm_ard_3-2-1_53KPS_2023-12-23_final.stac-item
2023-12-23 10:33:21	ga_s2bm_ard_3-2-1_53KQR_2023-12-23_final.stac-item
2023-12-23 10:33:25	ga_s2bm_ard_3-2-1_53KPR_2023-12-23_final.stac-item
2023-12-23 10:33:29	ga_s2bm_ard_3-2-1_54KUV_2023-12-23_final.stac-item
2023-12-23 10:33:36	ga_s2bm_ard_3-2-1_53KQQ_2023-12-23_final.stac-item
2023-12-23 10:33:46	ga_s2bm_ard_3-2-1_54KTU_2023-12-23_final.stac-item
2023-12-23 10:33:53	ga_s2bm_ard_3-2-1_54JUT_2023-12-23_final.stac-item
2023-12-23 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2023-12-23_final.stac-item
2023-12-23 10:33:57	ga_s2bm_ard_3-2-1_54JTT_2023-12-23_final.stac-item
2023-12-23 10:34:04	ga_s2bm_ard_3-2-1_53JRN_2023-12-23_final.stac-item
2023-12-23 10:34:04	ga_s2bm_ard_3-2-1_54JTT_2023-12-23_final.stac-item
2023-12-23 10:34:14	ga_s2bm_ard_3-2-1_53JNN_2023-12-23_final.stac-item
2023-12-23 10:34:15	ga_s2bm_ard_3-2-1_54JTS_2023-12-23_final.stac-item
2023-12-23 10:34:30	ga_s2bm_ard_3-2-1_54JTR_2023-12-23_final.stac-item
2023-12-23 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2023-12-23_final.stac-item
2023-12-23 10:34:37	ga_s2bm_ard_3-2-1_53JPL_2023-12-23_final.stac-item
2023-12-23 10:34:48	ga_s2bm_ard_3-2-1_53JQK_2023-12-23_final.stac-item
2023-12-23 10:34:52	ga_s2bm_ard_3-2-1_53JPK_2023-12-23_final.stac-item
2023-12-23 10:34:55	ga_s2bm_ard_3-2-1_53JNK_2023-12-23_final.stac-item
2023-12-23 10:35:06	ga_s2bm_ard_3-2-1_53JPJ_2023-12-23_final.stac-item
2023-12-23 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2023-12-23_final.stac-item
2023-12-23 10:35:16	ga_s2bm_ard_3-2-1_53JMJ_2023-12-23_final.stac-item
2023-12-23 10:35:26	ga_s2bm_ard_3-2-1_53JMH_2023-12-23_final.stac-item
2023-12-23 10:35:27	ga_s2bm_ard_3-2-1_53JQG_2023-12-23_final.stac-item
2023-12-23 10:35:34	ga_s2bm_ard_3-2-1_53JQG_2023-12-23_final.stac-item
2023-12-23 10:35:45	ga_s2bm_ard_3-2-1_53JQF_2023-12-23_final.stac-item
2023-12-23 10:35:50	ga_s2bm_ard_3-2-1_53JPF_2023-12-23_final.stac-item
2023-12-23 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2023-12-23_final.stac-item
2023-12-23 10:36:08	ga_s2bm_ard_3-2-1_53HNE_2023-12-23_final.stac-item
2023-12-23 10:36:11	ga_s2bm_ard_3-2-1_53HME_2023-12-23_final.stac-item
2023-12-23 10:36:18	ga_s2bm_ard_3-2-1_53HPD_2023-12-23_final.stac-item
2023-12-23 10:36:22	ga_s2bm_ard_3-2-1_53HND_2023-12-23_final.stac-item
2023-12-23 10:36:33	ga_s2bm_ard_3-2-1_53HPC_2023-12-23_final.stac-item
2023-12-23 10:36:37	ga_s2bm_ard_3-2-1_53HNC_2023-12-23_final.stac-item
2023-12-23 10:36:51	ga_s2bm_ard_3-2-1_53HNB_2023-12-23_final.stac-item
2023-12-23 10:36:55	ga_s2bm_ard_3-2-1_53HMB_2023-12-23_final.stac-item
2023-12-23 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2023-12-23_final.stac-item
2023-12-23 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-12-23_final.stac-item
2023-12-23 12:14:09	ga_s2bm_ard_3-2-1_50KKV_2023-12-23_final.stac-item
2023-12-23 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2023-12-23_final.stac-item
2023-12-23 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2023-12-23_final.stac-item
2023-12-23 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-12-23_final.stac-item
2023-12-23 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-12-23_final.stac-item
2023-12-23 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2023-12-23_final.stac-item
2023-12-23 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-12-23_final.stac-item
2024-01-03 10:07:46	ga_s2bm_ard_3-2-1_54HUC_2024-01-03_nrt.stac-item
2024-01-03 10:07:49	ga_s2bm_ard_3-2-1_54HWB_2024-01-03_nrt.stac-item
2024-01-03 10:07:50	ga_s2bm_ard_3-2-1_54HVB_2024-01-03_nrt.stac-item
2024-01-03 11:40:25	ga_s2bm_ard_3-2-1_51LXJ_2024-01-03_nrt.stac-item
2024-01-03 11:40:29	ga_s2bm_ard_3-2-1_51LWJ_2024-01-03_nrt.stac-item
2024-01-03 11:40:43	ga_s2bm_ard_3-2-1_51LWH_2024-01-03_nrt.stac-item
2024-01-03 11:41:12	ga_s2bm_ard_3-2-1_51LWF_2024-01-03_nrt.stac-item
2024-01-03 11:41:51	ga_s2bm_ard_3-2-1_51LTD_2024-01-03_nrt.stac-item
2024-01-03 11:42:05	ga_s2bm_ard_3-2-1_51LTC_2024-01-03_nrt.stac-item
2024-01-03 11:42:08	ga_s2bm_ard_3-2-1_50LRH_2024-01-03_nrt.stac-item
2024-01-03 11:42:21	ga_s2bm_ard_3-2-1_50KRG_2024-01-03_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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