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
2023-07-08 11:12:29	ga_s2bm_ard_3-2-1_52KCF_2023-07-08_final.stac-item
2023-07-08 11:12:55	ga_s2bm_ard_3-2-1_52KDD_2023-07-08_final.stac-item
2023-07-08 11:13:19	ga_s2bm_ard_3-2-1_52KBC_2023-07-08_final.stac-item
2023-07-08 11:13:45	ga_s2bm_ard_3-2-1_51KZR_2023-07-08_final.stac-item
2023-07-08 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2023-07-08_final.stac-item
2023-07-08 11:14:13	ga_s2bm_ard_3-2-1_52JET_2023-07-08_final.stac-item
2023-07-08 11:14:14	ga_s2bm_ard_3-2-1_52KBU_2023-07-08_final.stac-item
2023-07-08 11:14:26	ga_s2bm_ard_3-2-1_52JCT_2023-07-08_final.stac-item
2023-07-08 11:14:29	ga_s2bm_ard_3-2-1_51JZN_2023-07-08_final.stac-item
2023-07-08 11:14:40	ga_s2bm_ard_3-2-1_52JCS_2023-07-08_final.stac-item
2023-07-08 11:14:43	ga_s2bm_ard_3-2-1_52JBS_2023-07-08_final.stac-item
2023-07-08 11:14:46	ga_s2bm_ard_3-2-1_51JYM_2023-07-08_final.stac-item
2023-07-08 11:14:55	ga_s2bm_ard_3-2-1_52JCR_2023-07-08_final.stac-item
2023-07-08 11:15:01	ga_s2bm_ard_3-2-1_51JYL_2023-07-08_final.stac-item
2023-07-08 11:15:38	ga_s2bm_ard_3-2-1_52JCN_2023-07-08_final.stac-item
2023-07-08 11:15:44	ga_s2bm_ard_3-2-1_51JYH_2023-07-08_final.stac-item
2023-07-08 11:15:48	ga_s2bm_ard_3-2-1_51JXH_2023-07-08_final.stac-item
2023-07-08 11:15:56	ga_s2bm_ard_3-2-1_52JBM_2023-07-08_final.stac-item
2023-07-08 11:15:59	ga_s2bm_ard_3-2-1_51JYG_2023-07-08_final.stac-item
2023-07-08 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2023-07-08_final.stac-item
2023-07-08 11:16:11	ga_s2bm_ard_3-2-1_52JBL_2023-07-08_final.stac-item
2023-07-08 11:16:25	ga_s2bm_ard_3-2-1_51JWF_2023-07-08_final.stac-item
2023-07-08 11:16:28	ga_s2bm_ard_3-2-1_51HYE_2023-07-08_final.stac-item
2023-07-08 11:16:42	ga_s2bm_ard_3-2-1_51HYD_2023-07-08_final.stac-item
2023-07-08 11:17:10	ga_s2bm_ard_3-2-1_51HXB_2023-07-08_final.stac-item
2023-07-10 11:51:18	ga_s2bm_ard_3-2-1_51LUF_2023-07-10_final.stac-item
2023-07-10 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-07-10_final.stac-item
2023-07-10 11:52:39	ga_s2bm_ard_3-2-1_50KQF_2023-07-10_final.stac-item
2023-07-10 11:52:42	ga_s2bm_ard_3-2-1_50KPF_2023-07-10_final.stac-item
2023-07-10 11:52:54	ga_s2bm_ard_3-2-1_50KQE_2023-07-10_final.stac-item
2023-07-10 11:53:04	ga_s2bm_ard_3-2-1_50KRD_2023-07-10_final.stac-item
2023-07-10 11:53:12	ga_s2bm_ard_3-2-1_50KPD_2023-07-10_final.stac-item
2023-07-10 11:53:36	ga_s2bm_ard_3-2-1_50KMC_2023-07-10_final.stac-item
2023-07-10 11:53:37	ga_s2bm_ard_3-2-1_50KQB_2023-07-10_final.stac-item
2023-07-10 11:53:44	ga_s2bm_ard_3-2-1_50KQB_2023-07-10_final.stac-item
2023-07-10 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2023-07-10_final.stac-item
2023-07-10 11:53:48	ga_s2bm_ard_3-2-1_50KNB_2023-07-10_final.stac-item
2023-07-10 11:53:55	ga_s2bm_ard_3-2-1_50KPA_2023-07-10_final.stac-item
2023-07-10 11:54:13	ga_s2bm_ard_3-2-1_50KNV_2023-07-10_final.stac-item
2023-07-10 11:54:28	ga_s2bm_ard_3-2-1_50KNU_2023-07-10_final.stac-item
2023-07-10 11:54:38	ga_s2bm_ard_3-2-1_50KLU_2023-07-10_final.stac-item
2023-07-10 11:54:42	ga_s2bm_ard_3-2-1_50JNT_2023-07-10_final.stac-item
2023-07-10 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2023-07-10_final.stac-item
2023-07-10 11:55:08	ga_s2bm_ard_3-2-1_50JPR_2023-07-10_final.stac-item
2023-07-10 11:55:15	ga_s2bm_ard_3-2-1_50JMR_2023-07-10_final.stac-item
2023-07-10 11:55:29	ga_s2bm_ard_3-2-1_50JMQ_2023-07-10_final.stac-item
2023-07-10 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2023-07-10_final.stac-item
2023-07-10 11:55:44	ga_s2bm_ard_3-2-1_50JMP_2023-07-10_final.stac-item
2023-07-10 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-07-10_final.stac-item
2023-07-10 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2023-07-10_final.stac-item
2023-07-10 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-07-10_final.stac-item
2023-07-10 11:56:09	ga_s2bm_ard_3-2-1_50JNM_2023-07-10_final.stac-item
2023-07-10 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2023-07-10_final.stac-item
2023-07-10 11:56:27	ga_s2bm_ard_3-2-1_50JML_2023-07-10_final.stac-item
2023-07-10 11:56:31	ga_s2bm_ard_3-2-1_50JLL_2023-07-10_final.stac-item
2023-07-10 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-07-10_final.stac-item
2023-07-10 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-07-10_final.stac-item
2023-07-10 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-07-10_final.stac-item
2023-07-10 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-10_final.stac-item
2023-07-10 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2023-07-10_final.stac-item
2023-07-10 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-07-10_final.stac-item
2023-07-11 11:21:45	ga_s2bm_ard_3-2-1_51LZD_2023-07-11_final.stac-item
2023-07-11 11:22:28	ga_s2bm_ard_3-2-1_51KZA_2023-07-11_final.stac-item
2023-07-11 11:22:32	ga_s2bm_ard_3-2-1_51KYA_2023-07-11_final.stac-item
2023-07-11 11:22:38	ga_s2bm_ard_3-2-1_52KCE_2023-07-11_final.stac-item
2023-07-11 11:22:43	ga_s2bm_ard_3-2-1_51KZV_2023-07-11_final.stac-item
2023-07-11 11:22:46	ga_s2bm_ard_3-2-1_51KYV_2023-07-11_final.stac-item
2023-07-11 11:22:56	ga_s2bm_ard_3-2-1_52KBD_2023-07-11_final.stac-item
2023-07-11 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2023-07-11_final.stac-item
2023-07-11 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2023-07-11_final.stac-item
2023-07-11 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2023-07-11_final.stac-item
2023-07-11 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-07-11_final.stac-item
2023-07-11 11:23:48	ga_s2bm_ard_3-2-1_51KXR_2023-07-11_final.stac-item
2023-07-11 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2023-07-11_final.stac-item
2023-07-11 11:23:59	ga_s2bm_ard_3-2-1_51KYQ_2023-07-11_final.stac-item
2023-07-11 11:24:09	ga_s2bm_ard_3-2-1_52KBU_2023-07-11_final.stac-item
2023-07-11 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-07-11_final.stac-item
2023-07-11 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2023-07-11_final.stac-item
2023-07-11 11:24:42	ga_s2bm_ard_3-2-1_51JYM_2023-07-11_final.stac-item
2023-07-11 11:24:48	ga_s2bm_ard_3-2-1_52JBR_2023-07-11_final.stac-item
2023-07-11 11:24:49	ga_s2bm_ard_3-2-1_51JWM_2023-07-11_final.stac-item
2023-07-11 11:25:21	ga_s2bm_ard_3-2-1_51JVK_2023-07-11_final.stac-item
2023-07-11 11:25:36	ga_s2bm_ard_3-2-1_51JVJ_2023-07-11_final.stac-item
2023-07-11 11:25:39	ga_s2bm_ard_3-2-1_51JYH_2023-07-11_final.stac-item
2023-07-11 11:25:43	ga_s2bm_ard_3-2-1_51JXH_2023-07-11_final.stac-item
2023-07-11 11:25:47	ga_s2bm_ard_3-2-1_51JWH_2023-07-11_final.stac-item
2023-07-11 11:25:50	ga_s2bm_ard_3-2-1_51JYG_2023-07-11_final.stac-item
2023-07-11 11:25:58	ga_s2bm_ard_3-2-1_51JXG_2023-07-11_final.stac-item
2023-07-11 11:26:02	ga_s2bm_ard_3-2-1_51JWG_2023-07-11_final.stac-item
2023-07-11 11:26:16	ga_s2bm_ard_3-2-1_51JWF_2023-07-11_final.stac-item
2023-07-11 11:26:19	ga_s2bm_ard_3-2-1_51JVF_2023-07-11_final.stac-item
2023-07-11 11:26:34	ga_s2bm_ard_3-2-1_51HVE_2023-07-11_final.stac-item
2023-07-11 11:26:49	ga_s2bm_ard_3-2-1_51HVD_2023-07-11_final.stac-item
2023-07-11 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2023-07-11_final.stac-item
2023-07-11 11:26:52	ga_s2bm_ard_3-2-1_51HXC_2023-07-11_final.stac-item
2023-07-11 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2023-07-11_final.stac-item
2023-07-11 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-07-11_final.stac-item
2023-07-21 11:21:03	ga_s2bm_ard_3-2-1_51LZG_2023-07-21_nrt.stac-item
2023-07-21 11:21:16	ga_s2bm_ard_3-2-1_51LZF_2023-07-21_nrt.stac-item
2023-07-22 10:56:23	ga_s2bm_ard_3-2-1_52HEK_2023-07-22_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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