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
2022-11-22 10:10:11	ga_s2bm_ard_3-2-1_54LZN_2022-11-22_final.stac-item
2022-11-22 10:10:25	ga_s2bm_ard_3-2-1_54LZM_2022-11-22_final.stac-item
2022-11-22 10:11:09	ga_s2bm_ard_3-2-1_54LZJ_2022-11-22_final.stac-item
2022-11-22 10:11:23	ga_s2bm_ard_3-2-1_54LZH_2022-11-22_final.stac-item
2022-11-22 10:11:38	ga_s2bm_ard_3-2-1_54KZG_2022-11-22_final.stac-item
2022-11-22 10:11:52	ga_s2bm_ard_3-2-1_54KZF_2022-11-22_final.stac-item
2022-11-22 10:12:10	ga_s2bm_ard_3-2-1_54KYE_2022-11-22_final.stac-item
2022-11-22 10:12:25	ga_s2bm_ard_3-2-1_54KYD_2022-11-22_final.stac-item
2022-11-22 10:12:50	ga_s2bm_ard_3-2-1_54KZB_2022-11-22_final.stac-item
2022-11-22 10:13:41	ga_s2bm_ard_3-2-1_54KXU_2022-11-22_final.stac-item
2022-11-22 10:13:59	ga_s2bm_ard_3-2-1_54JWT_2022-11-22_final.stac-item
2022-11-22 10:14:31	ga_s2bm_ard_3-2-1_54JVR_2022-11-22_final.stac-item
2022-11-22 10:14:39	ga_s2bm_ard_3-2-1_54JXQ_2022-11-22_final.stac-item
2022-11-22 10:14:46	ga_s2bm_ard_3-2-1_54JVQ_2022-11-22_final.stac-item
2022-11-22 10:15:29	ga_s2bm_ard_3-2-1_54JVM_2022-11-22_final.stac-item
2022-11-22 10:15:36	ga_s2bm_ard_3-2-1_54JXL_2022-11-22_final.stac-item
2022-11-22 10:15:41	ga_s2bm_ard_3-2-1_54JVL_2022-11-22_final.stac-item
2022-11-22 10:15:44	ga_s2bm_ard_3-2-1_54JXL_2022-11-22_final.stac-item
2022-11-22 10:16:00	ga_s2bm_ard_3-2-1_54HXJ_2022-11-22_final.stac-item
2022-11-22 10:16:09	ga_s2bm_ard_3-2-1_54HWJ_2022-11-22_final.stac-item
2022-11-22 10:16:20	ga_s2bm_ard_3-2-1_54HTJ_2022-11-22_final.stac-item
2022-11-22 10:16:45	ga_s2bm_ard_3-2-1_54HUG_2022-11-22_final.stac-item
2022-11-22 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2022-11-22_final.stac-item
2022-11-22 11:51:13	ga_s2bm_ard_3-2-1_51LUF_2022-11-22_final.stac-item
2022-11-22 11:52:53	ga_s2bm_ard_3-2-1_51KTU_2022-11-22_final.stac-item
2022-11-22 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2022-11-22_final.stac-item
2022-11-22 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2022-11-22_final.stac-item
2022-11-22 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2022-11-22_final.stac-item
2022-11-22 11:53:30	ga_s2bm_ard_3-2-1_50KMC_2022-11-22_final.stac-item
2022-11-22 11:53:38	ga_s2bm_ard_3-2-1_50KNB_2022-11-22_final.stac-item
2022-11-22 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2022-11-22_final.stac-item
2022-11-22 11:54:04	ga_s2bm_ard_3-2-1_50KPV_2022-11-22_final.stac-item
2022-11-22 11:54:08	ga_s2bm_ard_3-2-1_50KNV_2022-11-22_final.stac-item
2022-11-22 11:54:11	ga_s2bm_ard_3-2-1_50KMV_2022-11-22_final.stac-item
2022-11-22 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2022-11-22_final.stac-item
2022-11-22 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2022-11-22_final.stac-item
2022-11-22 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2022-11-22_final.stac-item
2022-11-22 11:54:51	ga_s2bm_ard_3-2-1_50JNS_2022-11-22_final.stac-item
2022-11-22 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2022-11-22_final.stac-item
2022-11-22 11:55:02	ga_s2bm_ard_3-2-1_50JPR_2022-11-22_final.stac-item
2022-11-22 11:55:06	ga_s2bm_ard_3-2-1_50JNR_2022-11-22_final.stac-item
2022-11-22 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2022-11-22_final.stac-item
2022-11-22 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2022-11-22_final.stac-item
2022-11-22 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2022-11-22_final.stac-item
2022-11-22 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2022-11-22_final.stac-item
2022-11-22 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2022-11-22_final.stac-item
2022-11-22 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2022-11-22_final.stac-item
2022-11-22 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2022-11-22_final.stac-item
2022-11-22 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2022-11-22_final.stac-item
2022-11-22 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2022-11-22_final.stac-item
2022-11-22 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2022-11-22_final.stac-item
2022-11-22 11:56:22	ga_s2bm_ard_3-2-1_50JML_2022-11-22_final.stac-item
2022-11-22 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2022-11-22_final.stac-item
2022-11-22 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-11-22_final.stac-item
2022-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-11-22_final.stac-item
2022-11-22 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2022-11-22_final.stac-item
2022-11-23 09:45:47	ga_s2bm_ard_3-2-1_55HEE_2022-11-23_final.stac-item
2022-11-23 09:46:02	ga_s2bm_ard_3-2-1_55HED_2022-11-23_final.stac-item
2022-11-23 09:46:20	ga_s2bm_ard_3-2-1_55HDC_2022-11-23_final.stac-item
2022-11-23 09:46:27	ga_s2bm_ard_3-2-1_55HCC_2022-11-23_final.stac-item
2022-11-23 09:46:34	ga_s2bm_ard_3-2-1_55HDB_2022-11-23_final.stac-item
2022-11-23 09:47:03	ga_s2bm_ard_3-2-1_55HDV_2022-11-23_final.stac-item
2022-11-23 09:47:14	ga_s2bm_ard_3-2-1_55HEU_2022-11-23_final.stac-item
2022-11-23 09:47:18	ga_s2bm_ard_3-2-1_55HDU_2022-11-23_final.stac-item
2022-11-23 09:47:36	ga_s2bm_ard_3-2-1_55HCT_2022-11-23_final.stac-item
2022-11-23 09:47:44	ga_s2bm_ard_3-2-1_54HYC_2022-11-23_final.stac-item
2022-11-23 09:47:58	ga_s2bm_ard_3-2-1_55GER_2022-11-23_final.stac-item
2022-11-23 09:48:01	ga_s2bm_ard_3-2-1_55GDR_2022-11-23_final.stac-item
2022-11-23 09:48:16	ga_s2bm_ard_3-2-1_55GDQ_2022-11-23_final.stac-item
2022-11-23 09:48:21	ga_s2bm_ard_3-2-1_55GEP_2022-11-23_final.stac-item
2022-11-23 11:21:24	ga_s2bm_ard_3-2-1_52LBK_2022-11-23_final.stac-item
2022-11-23 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2022-11-23_final.stac-item
2022-11-23 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2022-11-23_final.stac-item
2022-11-23 11:21:58	ga_s2bm_ard_3-2-1_51LYC_2022-11-23_final.stac-item
2022-11-23 11:22:12	ga_s2bm_ard_3-2-1_52KDF_2022-11-23_final.stac-item
2022-11-23 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2022-11-23_final.stac-item
2022-11-23 11:22:24	ga_s2bm_ard_3-2-1_51KYA_2022-11-23_final.stac-item
2022-11-23 11:22:29	ga_s2bm_ard_3-2-1_51KZA_2022-11-23_final.stac-item
2022-11-23 11:22:29	ga_s2bm_ard_3-2-1_51KZV_2022-11-23_final.stac-item
2022-11-23 11:22:31	ga_s2bm_ard_3-2-1_51KYA_2022-11-23_final.stac-item
2022-11-23 11:22:48	ga_s2bm_ard_3-2-1_52KCD_2022-11-23_final.stac-item
2022-11-23 11:22:51	ga_s2bm_ard_3-2-1_52KBD_2022-11-23_final.stac-item
2022-11-23 11:23:02	ga_s2bm_ard_3-2-1_52KCC_2022-11-23_final.stac-item
2022-11-23 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2022-11-23_final.stac-item
2022-11-23 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2022-11-23_final.stac-item
2022-11-23 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2022-11-23_final.stac-item
2022-11-23 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2022-11-23_final.stac-item
2022-11-23 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2022-11-23_final.stac-item
2022-11-23 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2022-11-23_final.stac-item
2022-11-23 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2022-11-23_final.stac-item
2022-11-23 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2022-11-23_final.stac-item
2022-11-23 11:24:44	ga_s2bm_ard_3-2-1_51JWM_2022-11-23_final.stac-item
2022-11-23 11:24:58	ga_s2bm_ard_3-2-1_51JWL_2022-11-23_final.stac-item
2022-11-23 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2022-11-23_final.stac-item
2022-11-23 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2022-11-23_final.stac-item
2022-11-23 11:25:20	ga_s2bm_ard_3-2-1_51JYJ_2022-11-23_final.stac-item
2022-11-23 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2022-11-23_final.stac-item
2022-11-23 11:25:38	ga_s2bm_ard_3-2-1_51JXH_2022-11-23_final.stac-item
2022-11-23 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2022-11-23_final.stac-item
2022-11-23 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2022-11-23_final.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

Other products

All years