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
2023-01-30 10:41:39	ga_s2bm_ard_3-2-1_53LNC_2023-01-30_final.stac-item
2023-01-31 10:11:39	ga_s2bm_ard_3-2-1_54KYG_2023-01-31_final.stac-item
2023-01-31 10:11:53	ga_s2bm_ard_3-2-1_54KYF_2023-01-31_final.stac-item
2023-01-31 10:11:59	ga_s2bm_ard_3-2-1_54KXF_2023-01-31_final.stac-item
2023-01-31 10:12:11	ga_s2bm_ard_3-2-1_54KXE_2023-01-31_final.stac-item
2023-01-31 10:12:37	ga_s2bm_ard_3-2-1_54KYC_2023-01-31_final.stac-item
2023-01-31 10:12:55	ga_s2bm_ard_3-2-1_54KXB_2023-01-31_final.stac-item
2023-01-31 10:13:05	ga_s2bm_ard_3-2-1_54KYA_2023-01-31_final.stac-item
2023-01-31 10:13:07	ga_s2bm_ard_3-2-1_54KXA_2023-01-31_final.stac-item
2023-01-31 10:13:09	ga_s2bm_ard_3-2-1_54KWA_2023-01-31_final.stac-item
2023-01-31 10:13:11	ga_s2bm_ard_3-2-1_54KZA_2023-01-31_final.stac-item
2023-01-31 10:13:12	ga_s2bm_ard_3-2-1_54KYA_2023-01-31_final.stac-item
2023-01-31 10:13:14	ga_s2bm_ard_3-2-1_54KXA_2023-01-31_final.stac-item
2023-01-31 10:13:16	ga_s2bm_ard_3-2-1_54KWA_2023-01-31_final.stac-item
2023-01-31 10:13:49	ga_s2bm_ard_3-2-1_54JYT_2023-01-31_final.stac-item
2023-01-31 10:13:53	ga_s2bm_ard_3-2-1_54JXT_2023-01-31_final.stac-item
2023-01-31 10:14:07	ga_s2bm_ard_3-2-1_54JXS_2023-01-31_final.stac-item
2023-01-31 10:14:11	ga_s2bm_ard_3-2-1_54JWS_2023-01-31_final.stac-item
2023-01-31 10:14:22	ga_s2bm_ard_3-2-1_54JXR_2023-01-31_final.stac-item
2023-01-31 10:14:25	ga_s2bm_ard_3-2-1_54JWR_2023-01-31_final.stac-item
2023-01-31 10:14:32	ga_s2bm_ard_3-2-1_54JYQ_2023-01-31_final.stac-item
2023-01-31 10:14:45	ga_s2bm_ard_3-2-1_54JYP_2023-01-31_final.stac-item
2023-01-31 10:14:58	ga_s2bm_ard_3-2-1_54JVP_2023-01-31_final.stac-item
2023-01-31 10:15:05	ga_s2bm_ard_3-2-1_54JXN_2023-01-31_final.stac-item
2023-01-31 10:15:12	ga_s2bm_ard_3-2-1_54JVN_2023-01-31_final.stac-item
2023-01-31 10:15:16	ga_s2bm_ard_3-2-1_54JUN_2023-01-31_final.stac-item
2023-01-31 10:15:20	ga_s2bm_ard_3-2-1_54JXM_2023-01-31_final.stac-item
2023-01-31 10:15:23	ga_s2bm_ard_3-2-1_54JWM_2023-01-31_final.stac-item
2023-01-31 10:15:30	ga_s2bm_ard_3-2-1_54JUM_2023-01-31_final.stac-item
2023-01-31 10:15:38	ga_s2bm_ard_3-2-1_54JWL_2023-01-31_final.stac-item
2023-01-31 10:15:56	ga_s2bm_ard_3-2-1_54HVK_2023-01-31_final.stac-item
2023-01-31 10:15:58	ga_s2bm_ard_3-2-1_54HXJ_2023-01-31_final.stac-item
2023-01-31 10:15:59	ga_s2bm_ard_3-2-1_54HUK_2023-01-31_final.stac-item
2023-01-31 10:16:07	ga_s2bm_ard_3-2-1_54HWJ_2023-01-31_final.stac-item
2023-01-31 10:16:21	ga_s2bm_ard_3-2-1_54HWH_2023-01-31_final.stac-item
2023-01-31 10:16:39	ga_s2bm_ard_3-2-1_54HVG_2023-01-31_final.stac-item
2023-01-31 10:16:46	ga_s2bm_ard_3-2-1_54HTG_2023-01-31_final.stac-item
2023-01-31 10:16:49	ga_s2bm_ard_3-2-1_53HQB_2023-01-31_final.stac-item
2023-01-31 10:16:54	ga_s2bm_ard_3-2-1_54HVF_2023-01-31_final.stac-item
2023-01-31 10:17:01	ga_s2bm_ard_3-2-1_54HTF_2023-01-31_final.stac-item
2023-01-31 10:17:02	ga_s2bm_ard_3-2-1_53HQA_2023-01-31_final.stac-item
2023-01-31 11:51:11	ga_s2bm_ard_3-2-1_51LUF_2023-01-31_final.stac-item
2023-01-31 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2023-01-31_final.stac-item
2023-01-31 11:53:29	ga_s2bm_ard_3-2-1_50KQB_2023-01-31_final.stac-item
2023-01-31 11:53:40	ga_s2bm_ard_3-2-1_50KMB_2023-01-31_final.stac-item
2023-01-31 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2023-01-31_final.stac-item
2023-01-31 11:53:47	ga_s2bm_ard_3-2-1_50KPA_2023-01-31_final.stac-item
2023-01-31 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2023-01-31_final.stac-item
2023-01-31 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2023-01-31_final.stac-item
2023-01-31 11:54:05	ga_s2bm_ard_3-2-1_50KNV_2023-01-31_final.stac-item
2023-01-31 11:54:08	ga_s2bm_ard_3-2-1_50KMV_2023-01-31_final.stac-item
2023-01-31 11:54:20	ga_s2bm_ard_3-2-1_50KNU_2023-01-31_final.stac-item
2023-01-31 11:54:34	ga_s2bm_ard_3-2-1_50JNT_2023-01-31_final.stac-item
2023-01-31 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2023-01-31_final.stac-item
2023-01-31 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2023-01-31_final.stac-item
2023-01-31 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2023-01-31_final.stac-item
2023-01-31 11:54:55	ga_s2bm_ard_3-2-1_50JLS_2023-01-31_final.stac-item
2023-01-31 11:55:00	ga_s2bm_ard_3-2-1_50JPR_2023-01-31_final.stac-item
2023-01-31 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2023-01-31_final.stac-item
2023-01-31 11:55:13	ga_s2bm_ard_3-2-1_50JPQ_2023-01-31_final.stac-item
2023-01-31 11:55:32	ga_s2bm_ard_3-2-1_50JNP_2023-01-31_final.stac-item
2023-01-31 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2023-01-31_final.stac-item
2023-01-31 11:55:47	ga_s2bm_ard_3-2-1_50JNN_2023-01-31_final.stac-item
2023-01-31 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2023-01-31_final.stac-item
2023-01-31 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2023-01-31_final.stac-item
2023-01-31 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-31_final.stac-item
2023-01-31 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2023-01-31_final.stac-item
2023-01-31 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2023-01-31_final.stac-item
2023-01-31 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2023-01-31_final.stac-item
2023-01-31 11:56:13	ga_s2bm_ard_3-2-1_50JMM_2023-01-31_final.stac-item
2023-01-31 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2023-01-31_final.stac-item
2023-01-31 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2023-01-31_final.stac-item
2023-01-31 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2023-01-31_final.stac-item
2023-01-31 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2023-01-31_final.stac-item
2023-01-31 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2023-01-31_final.stac-item
2023-01-31 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2023-01-31_final.stac-item
2023-01-31 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2023-01-31_final.stac-item
2023-01-31 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-01-31_final.stac-item
2023-02-10 11:50:32	ga_s2bm_ard_3-2-1_51LTJ_2023-02-10_nrt.stac-item
2023-02-10 11:51:52	ga_s2bm_ard_3-2-1_50LPJ_2023-02-10_nrt.stac-item
2023-02-10 11:52:07	ga_s2bm_ard_3-2-1_50LPH_2023-02-10_nrt.stac-item
2023-02-10 11:52:50	ga_s2bm_ard_3-2-1_50KPE_2023-02-10_nrt.stac-item
2023-02-10 11:57:26	ga_s2bm_ard_3-2-1_49HFB_2023-02-10_nrt.stac-item
2023-02-11 09:48:36	ga_s2bm_ard_3-2-1_54GYU_2023-02-11_nrt.stac-item
2023-02-11 09:48:41	ga_s2bm_ard_3-2-1_54GXU_2023-02-11_nrt.stac-item
2023-02-11 09:48:50	ga_s2bm_ard_3-2-1_54GYT_2023-02-11_nrt.stac-item
2023-02-11 09:48:54	ga_s2bm_ard_3-2-1_54GXT_2023-02-11_nrt.stac-item
2023-02-11 09:49:04	ga_s2bm_ard_3-2-1_54GXS_2023-02-11_nrt.stac-item
2023-02-11 11:20:18	ga_s2bm_ard_3-2-1_52LDP_2023-02-11_nrt.stac-item
2023-02-11 11:20:22	ga_s2bm_ard_3-2-1_52LBP_2023-02-11_nrt.stac-item
2023-02-11 11:20:25	ga_s2bm_ard_3-2-1_52LDP_2023-02-11_nrt.stac-item
2023-02-11 11:20:25	ga_s2bm_ard_3-2-1_52LDN_2023-02-11_nrt.stac-item
2023-02-11 11:20:28	ga_s2bm_ard_3-2-1_52LBP_2023-02-11_nrt.stac-item
2023-02-11 11:20:33	ga_s2bm_ard_3-2-1_52LDN_2023-02-11_nrt.stac-item
2023-02-11 11:20:39	ga_s2bm_ard_3-2-1_52LBN_2023-02-11_nrt.stac-item
2023-02-11 11:20:47	ga_s2bm_ard_3-2-1_52LDM_2023-02-11_nrt.stac-item
2023-02-11 11:20:56	ga_s2bm_ard_3-2-1_51LZG_2023-02-11_nrt.stac-item
2023-02-11 11:21:01	ga_s2bm_ard_3-2-1_52LDL_2023-02-11_nrt.stac-item
2023-02-11 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2023-02-11_nrt.stac-item
2023-02-11 11:21:16	ga_s2bm_ard_3-2-1_52LDK_2023-02-11_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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