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
2023-02-03 10:23:03	ga_s2bm_ard_3-2-1_54KXA_2023-02-03_final.stac-item
2023-02-03 10:24:24	ga_s2bm_ard_3-2-1_54JVR_2023-02-03_final.stac-item
2023-02-03 10:24:30	ga_s2bm_ard_3-2-1_54JTR_2023-02-03_final.stac-item
2023-02-03 10:25:58	ga_s2bm_ard_3-2-1_54HTK_2023-02-03_final.stac-item
2023-02-03 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2023-02-03_final.stac-item
2023-02-03 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-02-03_final.stac-item
2023-02-04 11:31:28	ga_s2bm_ard_3-2-1_51LWE_2023-02-04_final.stac-item
2023-02-04 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2023-02-04_final.stac-item
2023-02-04 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2023-02-04_final.stac-item
2023-02-09 10:41:44	ga_s2bm_ard_3-2-1_53KRB_2023-02-09_final.stac-item
2023-02-09 10:42:37	ga_s2bm_ard_3-2-1_53KNU_2023-02-09_final.stac-item
2023-02-09 10:43:15	ga_s2bm_ard_3-2-1_53KMS_2023-02-09_final.stac-item
2023-02-09 10:45:27	ga_s2bm_ard_3-2-1_53JKH_2023-02-09_final.stac-item
2023-02-10 10:11:55	ga_s2bm_ard_3-2-1_54KYF_2023-02-10_final.stac-item
2023-02-10 10:12:01	ga_s2bm_ard_3-2-1_54KXF_2023-02-10_final.stac-item
2023-02-10 10:12:13	ga_s2bm_ard_3-2-1_54KXE_2023-02-10_final.stac-item
2023-02-10 10:12:38	ga_s2bm_ard_3-2-1_54KYC_2023-02-10_final.stac-item
2023-02-10 10:12:53	ga_s2bm_ard_3-2-1_54KYB_2023-02-10_final.stac-item
2023-02-10 10:12:56	ga_s2bm_ard_3-2-1_54KXB_2023-02-10_final.stac-item
2023-02-10 10:13:01	ga_s2bm_ard_3-2-1_54KYA_2023-02-10_final.stac-item
2023-02-10 10:13:01	ga_s2bm_ard_3-2-1_54KYB_2023-02-10_final.stac-item
2023-02-10 10:13:02	ga_s2bm_ard_3-2-1_54KXB_2023-02-10_final.stac-item
2023-02-10 10:13:03	ga_s2bm_ard_3-2-1_54KXA_2023-02-10_final.stac-item
2023-02-10 10:13:08	ga_s2bm_ard_3-2-1_54KYA_2023-02-10_final.stac-item
2023-02-10 10:13:10	ga_s2bm_ard_3-2-1_54KXA_2023-02-10_final.stac-item
2023-02-10 10:13:14	ga_s2bm_ard_3-2-1_54KWA_2023-02-10_final.stac-item
2023-02-10 10:13:44	ga_s2bm_ard_3-2-1_54JZT_2023-02-10_final.stac-item
2023-02-10 10:13:54	ga_s2bm_ard_3-2-1_54JXT_2023-02-10_final.stac-item
2023-02-10 10:14:09	ga_s2bm_ard_3-2-1_54JXS_2023-02-10_final.stac-item
2023-02-10 10:14:12	ga_s2bm_ard_3-2-1_54JWS_2023-02-10_final.stac-item
2023-02-10 10:14:23	ga_s2bm_ard_3-2-1_54JXR_2023-02-10_final.stac-item
2023-02-10 10:14:26	ga_s2bm_ard_3-2-1_54JWR_2023-02-10_final.stac-item
2023-02-10 10:14:30	ga_s2bm_ard_3-2-1_54JVR_2023-02-10_final.stac-item
2023-02-10 10:14:34	ga_s2bm_ard_3-2-1_54JYQ_2023-02-10_final.stac-item
2023-02-10 10:14:44	ga_s2bm_ard_3-2-1_54JVQ_2023-02-10_final.stac-item
2023-02-10 10:14:46	ga_s2bm_ard_3-2-1_54JYP_2023-02-10_final.stac-item
2023-02-10 10:15:06	ga_s2bm_ard_3-2-1_54JXN_2023-02-10_final.stac-item
2023-02-10 10:15:17	ga_s2bm_ard_3-2-1_54JUN_2023-02-10_final.stac-item
2023-02-10 10:15:21	ga_s2bm_ard_3-2-1_54JXM_2023-02-10_final.stac-item
2023-02-10 10:15:25	ga_s2bm_ard_3-2-1_54JWM_2023-02-10_final.stac-item
2023-02-10 10:15:28	ga_s2bm_ard_3-2-1_54JVM_2023-02-10_final.stac-item
2023-02-10 10:15:31	ga_s2bm_ard_3-2-1_54JUM_2023-02-10_final.stac-item
2023-02-10 10:15:39	ga_s2bm_ard_3-2-1_54JWL_2023-02-10_final.stac-item
2023-02-10 10:15:43	ga_s2bm_ard_3-2-1_54JVL_2023-02-10_final.stac-item
2023-02-10 10:15:59	ga_s2bm_ard_3-2-1_54HXJ_2023-02-10_final.stac-item
2023-02-10 10:16:00	ga_s2bm_ard_3-2-1_54HUK_2023-02-10_final.stac-item
2023-02-10 10:16:08	ga_s2bm_ard_3-2-1_54HWJ_2023-02-10_final.stac-item
2023-02-10 10:16:22	ga_s2bm_ard_3-2-1_54HWH_2023-02-10_final.stac-item
2023-02-10 10:16:41	ga_s2bm_ard_3-2-1_54HVG_2023-02-10_final.stac-item
2023-02-10 10:16:47	ga_s2bm_ard_3-2-1_54HTG_2023-02-10_final.stac-item
2023-02-10 10:16:55	ga_s2bm_ard_3-2-1_54HVF_2023-02-10_final.stac-item
2023-02-10 10:17:02	ga_s2bm_ard_3-2-1_54HTF_2023-02-10_final.stac-item
2023-02-10 11:51:12	ga_s2bm_ard_3-2-1_51LUF_2023-02-10_final.stac-item
2023-02-10 11:52:57	ga_s2bm_ard_3-2-1_50KRD_2023-02-10_final.stac-item
2023-02-10 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2023-02-10_final.stac-item
2023-02-10 11:53:30	ga_s2bm_ard_3-2-1_50KQB_2023-02-10_final.stac-item
2023-02-10 11:53:41	ga_s2bm_ard_3-2-1_50KMB_2023-02-10_final.stac-item
2023-02-10 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2023-02-10_final.stac-item
2023-02-10 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2023-02-10_final.stac-item
2023-02-10 11:53:55	ga_s2bm_ard_3-2-1_50KMA_2023-02-10_final.stac-item
2023-02-10 11:54:10	ga_s2bm_ard_3-2-1_50KMV_2023-02-10_final.stac-item
2023-02-10 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2023-02-10_final.stac-item
2023-02-10 11:54:39	ga_s2bm_ard_3-2-1_50JMT_2023-02-10_final.stac-item
2023-02-10 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2023-02-10_final.stac-item
2023-02-10 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2023-02-10_final.stac-item
2023-02-10 11:54:53	ga_s2bm_ard_3-2-1_50JMS_2023-02-10_final.stac-item
2023-02-10 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2023-02-10_final.stac-item
2023-02-10 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2023-02-10_final.stac-item
2023-02-10 11:55:20	ga_s2bm_ard_3-2-1_50JLQ_2023-02-10_final.stac-item
2023-02-10 11:55:21	ga_s2bm_ard_3-2-1_50JPQ_2023-02-10_final.stac-item
2023-02-10 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2023-02-10_final.stac-item
2023-02-10 11:55:33	ga_s2bm_ard_3-2-1_50JNP_2023-02-10_final.stac-item
2023-02-10 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2023-02-10_final.stac-item
2023-02-10 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2023-02-10_final.stac-item
2023-02-10 11:55:48	ga_s2bm_ard_3-2-1_50JNN_2023-02-10_final.stac-item
2023-02-10 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-02-10_final.stac-item
2023-02-10 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2023-02-10_final.stac-item
2023-02-10 11:56:21	ga_s2bm_ard_3-2-1_50JML_2023-02-10_final.stac-item
2023-02-10 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2023-02-10_final.stac-item
2023-02-10 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2023-02-10_final.stac-item
2023-02-10 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2023-02-10_final.stac-item
2023-02-10 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-02-10_final.stac-item
2023-02-10 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2023-02-10_final.stac-item
2023-02-10 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2023-02-10_final.stac-item
2023-02-10 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2023-02-10_final.stac-item
2023-02-10 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-02-10_final.stac-item
2023-02-21 09:48:37	ga_s2bm_ard_3-2-1_54GYU_2023-02-21_nrt.stac-item
2023-02-21 09:49:03	ga_s2bm_ard_3-2-1_54GXS_2023-02-21_nrt.stac-item
2023-02-21 11:20:19	ga_s2bm_ard_3-2-1_52LDP_2023-02-21_nrt.stac-item
2023-02-21 11:20:34	ga_s2bm_ard_3-2-1_52LDN_2023-02-21_nrt.stac-item
2023-02-21 11:20:48	ga_s2bm_ard_3-2-1_52LDM_2023-02-21_nrt.stac-item
2023-02-21 11:20:54	ga_s2bm_ard_3-2-1_52LBM_2023-02-21_nrt.stac-item
2023-02-21 11:21:02	ga_s2bm_ard_3-2-1_52LDL_2023-02-21_nrt.stac-item
2023-02-21 11:21:09	ga_s2bm_ard_3-2-1_52LBL_2023-02-21_nrt.stac-item
2023-02-21 11:21:10	ga_s2bm_ard_3-2-1_51LZF_2023-02-21_nrt.stac-item
2023-02-21 11:21:17	ga_s2bm_ard_3-2-1_52LDK_2023-02-21_nrt.stac-item
2023-02-21 11:27:14	ga_s2bm_ard_3-2-1_51HWA_2023-02-21_nrt.stac-item
2023-02-22 10:50:12	ga_s2bm_ard_3-2-1_53LMJ_2023-02-22_nrt.stac-item
2023-02-22 10:50:16	ga_s2bm_ard_3-2-1_53LQH_2023-02-22_nrt.stac-item
2023-02-22 10:56:18	ga_s2bm_ard_3-2-1_52HEK_2023-02-22_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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