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:

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First 100 results (query limit)

Time (local)	Label
2023-01-21 11:51:25	ga_s2bm_ard_3-2-1_51LUE_2023-01-21_final.stac-item
2023-01-21 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2023-01-21_final.stac-item
2023-01-21 11:53:29	ga_s2bm_ard_3-2-1_50KMC_2023-01-21_final.stac-item
2023-01-21 11:53:29	ga_s2bm_ard_3-2-1_50KQB_2023-01-21_final.stac-item
2023-01-21 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2023-01-21_final.stac-item
2023-01-21 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2023-01-21_final.stac-item
2023-01-21 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2023-01-21_final.stac-item
2023-01-21 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2023-01-21_final.stac-item
2023-01-21 11:54:20	ga_s2bm_ard_3-2-1_50KNU_2023-01-21_final.stac-item
2023-01-21 11:54:24	ga_s2bm_ard_3-2-1_50KMU_2023-01-21_final.stac-item
2023-01-21 11:54:31	ga_s2bm_ard_3-2-1_50JPT_2023-01-21_final.stac-item
2023-01-21 11:54:31	ga_s2bm_ard_3-2-1_50KLU_2023-01-21_final.stac-item
2023-01-21 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2023-01-21_final.stac-item
2023-01-21 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2023-01-21_final.stac-item
2023-01-21 11:55:04	ga_s2bm_ard_3-2-1_50JNR_2023-01-21_final.stac-item
2023-01-21 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2023-01-21_final.stac-item
2023-01-21 11:55:18	ga_s2bm_ard_3-2-1_50JNQ_2023-01-21_final.stac-item
2023-01-21 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2023-01-21_final.stac-item
2023-01-21 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2023-01-21_final.stac-item
2023-01-21 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2023-01-21_final.stac-item
2023-01-21 11:55:36	ga_s2bm_ard_3-2-1_50JMP_2023-01-21_final.stac-item
2023-01-21 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2023-01-21_final.stac-item
2023-01-21 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2023-01-21_final.stac-item
2023-01-21 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-21_final.stac-item
2023-01-21 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2023-01-21_final.stac-item
2023-01-21 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2023-01-21_final.stac-item
2023-01-21 11:56:20	ga_s2bm_ard_3-2-1_50JML_2023-01-21_final.stac-item
2023-01-21 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2023-01-21_final.stac-item
2023-01-21 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2023-01-21_final.stac-item
2023-01-21 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2023-01-21_final.stac-item
2023-01-21 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2023-01-21_final.stac-item
2023-01-21 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2023-01-21_final.stac-item
2023-01-21 11:57:02	ga_s2bm_ard_3-2-1_50HLH_2023-01-21_final.stac-item
2023-01-21 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2023-01-21_final.stac-item
2023-01-22 11:21:38	ga_s2bm_ard_3-2-1_51LZD_2023-01-22_final.stac-item
2023-01-22 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2023-01-22_final.stac-item
2023-01-22 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2023-01-22_final.stac-item
2023-01-22 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2023-01-22_final.stac-item
2023-01-22 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2023-01-22_final.stac-item
2023-01-22 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2023-01-22_final.stac-item
2023-01-22 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2023-01-22_final.stac-item
2023-01-22 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2023-01-22_final.stac-item
2023-01-22 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2023-01-22_final.stac-item
2023-01-22 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2023-01-22_final.stac-item
2023-01-22 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2023-01-22_final.stac-item
2023-01-22 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2023-01-22_final.stac-item
2023-01-22 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2023-01-22_final.stac-item
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final.stac-item
2023-01-22 11:24:09	ga_s2bm_ard_3-2-1_51KXP_2023-01-22_final.stac-item
2023-01-22 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-01-22_final.stac-item
2023-01-22 11:24:24	ga_s2bm_ard_3-2-1_51JXN_2023-01-22_final.stac-item
2023-01-22 11:24:30	ga_s2bm_ard_3-2-1_51JZM_2023-01-22_final.stac-item
2023-01-22 11:24:30	ga_s2bm_ard_3-2-1_52JBS_2023-01-22_final.stac-item
2023-01-22 11:24:38	ga_s2bm_ard_3-2-1_51JXM_2023-01-22_final.stac-item
2023-01-22 11:24:42	ga_s2bm_ard_3-2-1_52JBR_2023-01-22_final.stac-item
2023-01-22 11:25:01	ga_s2bm_ard_3-2-1_51JVL_2023-01-22_final.stac-item
2023-01-22 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-01-22_final.stac-item
2023-01-22 11:25:11	ga_s2bm_ard_3-2-1_51JWK_2023-01-22_final.stac-item
2023-01-22 11:25:18	ga_s2bm_ard_3-2-1_51JYJ_2023-01-22_final.stac-item
2023-01-22 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2023-01-22_final.stac-item
2023-01-22 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2023-01-22_final.stac-item
2023-01-22 11:25:44	ga_s2bm_ard_3-2-1_51JVH_2023-01-22_final.stac-item
2023-01-22 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2023-01-22_final.stac-item
2023-01-22 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2023-01-22_final.stac-item
2023-01-22 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2023-01-22_final.stac-item
2023-01-22 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2023-01-22_final.stac-item
2023-01-22 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2023-01-22_final.stac-item
2023-01-22 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2023-01-22_final.stac-item
2023-01-22 11:27:05	ga_s2bm_ard_3-2-1_51HTC_2023-01-22_final.stac-item
2023-01-23 10:54:19	ga_s2bm_ard_3-2-1_52JFT_2023-01-23_final.stac-item
2023-01-23 10:54:31	ga_s2bm_ard_3-2-1_52JFS_2023-01-23_final.stac-item
2023-01-23 10:55:11	ga_s2bm_ard_3-2-1_52JGP_2023-01-23_final.stac-item
2023-01-23 10:55:15	ga_s2bm_ard_3-2-1_52JFP_2023-01-23_final.stac-item
2023-01-23 10:55:20	ga_s2bm_ard_3-2-1_52JEP_2023-01-23_final.stac-item
2023-01-23 10:55:25	ga_s2bm_ard_3-2-1_52JGN_2023-01-23_final.stac-item
2023-01-23 10:56:02	ga_s2bm_ard_3-2-1_52JEL_2023-01-23_final.stac-item
2023-01-24 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2023-01-24_final.stac-item
2023-01-24 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2023-01-24_final.stac-item
2023-01-24 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2023-01-24_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-01-24_final.stac-item
2023-01-24 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2023-01-24_final.stac-item
2023-01-24 12:04:19	ga_s2bm_ard_3-2-1_50KMU_2023-01-24_final.stac-item
2023-01-24 12:04:23	ga_s2bm_ard_3-2-1_50KLU_2023-01-24_final.stac-item
2023-01-24 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2023-01-24_final.stac-item
2023-01-24 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2023-01-24_final.stac-item
2023-01-24 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2023-01-24_final.stac-item
2023-01-24 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2023-01-24_final.stac-item
2023-01-24 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2023-01-24_final.stac-item
2023-01-24 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2023-01-24_final.stac-item
2023-01-24 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2023-01-24_final.stac-item
2023-01-24 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2023-01-24_final.stac-item
2023-01-24 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-01-24_final.stac-item
2023-01-24 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2023-01-24_final.stac-item
2023-01-24 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2023-01-24_final.stac-item
2023-01-24 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2023-01-24_final.stac-item
2023-01-24 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2023-01-24_final.stac-item
2023-01-24 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2023-01-24_final.stac-item
2023-01-25 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2023-01-25_final.stac-item
2023-01-26 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2023-01-26_final.stac-item
2023-02-05 11:06:11	ga_s2bm_ard_3-2-1_52HEK_2023-02-05_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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