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
2023-02-24 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2023-02-24_final.stac-item
2023-02-24 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2023-02-24_final.stac-item
2023-02-24 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2023-02-24_final.stac-item
2023-02-24 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2023-02-24_final.stac-item
2023-02-24 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2023-02-24_final.stac-item
2023-02-24 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2023-02-24_final.stac-item
2023-02-24 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2023-02-24_final.stac-item
2023-02-24 11:34:40	ga_s2bm_ard_3-2-1_51JWM_2023-02-24_final.stac-item
2023-02-24 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2023-02-24_final.stac-item
2023-02-24 11:34:50	ga_s2bm_ard_3-2-1_51JTM_2023-02-24_final.stac-item
2023-02-24 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2023-02-24_final.stac-item
2023-02-24 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2023-02-24_final.stac-item
2023-02-24 11:35:30	ga_s2bm_ard_3-2-1_51JUJ_2023-02-24_final.stac-item
2023-02-24 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2023-02-24_final.stac-item
2023-02-24 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2023-02-24_final.stac-item
2023-02-24 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2023-02-24_final.stac-item
2023-02-24 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2023-02-24_final.stac-item
2023-02-24 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2023-02-24_final.stac-item
2023-02-24 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-02-24_final.stac-item
2023-02-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2023-02-24_final.stac-item
2023-02-26 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2023-02-26_final.stac-item
2023-02-26 12:14:19	ga_s2bm_ard_3-2-1_50KKU_2023-02-26_final.stac-item
2023-02-26 12:14:31	ga_s2bm_ard_3-2-1_49JHN_2023-02-26_final.stac-item
2023-02-27 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2023-02-27_final.stac-item
2023-02-27 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2023-02-27_final.stac-item
2023-02-27 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-02-27_final.stac-item
2023-02-27 11:43:33	ga_s2bm_ard_3-2-1_51KTS_2023-02-27_final.stac-item
2023-02-27 11:43:37	ga_s2bm_ard_3-2-1_50KQB_2023-02-27_final.stac-item
2023-02-27 11:43:48	ga_s2bm_ard_3-2-1_51KTR_2023-02-27_final.stac-item
2023-02-27 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2023-02-27_final.stac-item
2023-02-27 11:43:52	ga_s2bm_ard_3-2-1_50KQA_2023-02-27_final.stac-item
2023-02-27 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2023-02-27_final.stac-item
2023-02-27 11:44:02	ga_s2bm_ard_3-2-1_51KTQ_2023-02-27_final.stac-item
2023-02-27 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2023-02-27_final.stac-item
2023-02-27 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2023-02-27_final.stac-item
2023-02-27 11:44:31	ga_s2bm_ard_3-2-1_51JTN_2023-02-27_final.stac-item
2023-02-27 11:44:52	ga_s2bm_ard_3-2-1_51JUL_2023-02-27_final.stac-item
2023-02-27 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2023-02-27_final.stac-item
2023-02-27 11:45:07	ga_s2bm_ard_3-2-1_50JPR_2023-02-27_final.stac-item
2023-02-27 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2023-02-27_final.stac-item
2023-02-27 11:45:22	ga_s2bm_ard_3-2-1_50JPQ_2023-02-27_final.stac-item
2023-02-27 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2023-02-27_final.stac-item
2023-02-27 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2023-02-27_final.stac-item
2023-02-27 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2023-02-27_final.stac-item
2023-02-27 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2023-02-27_final.stac-item
2023-02-27 11:46:16	ga_s2bm_ard_3-2-1_50JNM_2023-02-27_final.stac-item
2023-02-27 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2023-02-27_final.stac-item
2023-02-27 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2023-02-27_final.stac-item
2023-02-27 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2023-02-27_final.stac-item
2023-02-27 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2023-02-27_final.stac-item
2023-02-27 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2023-02-27_final.stac-item
2023-02-27 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-02-27_final.stac-item
2023-02-27 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2023-02-27_final.stac-item
2023-02-28 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2023-02-28_final.stac-item
2023-02-28 11:15:11	ga_s2bm_ard_3-2-1_51JYK_2023-02-28_final.stac-item
2023-02-28 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2023-02-28_final.stac-item
2023-02-28 11:15:43	ga_s2bm_ard_3-2-1_51JXH_2023-02-28_final.stac-item
2023-02-28 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2023-02-28_final.stac-item
2023-03-03 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2023-03-03_final.stac-item
2023-03-03 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2023-03-03_final.stac-item
2023-03-03 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2023-03-03_final.stac-item
2023-03-03 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2023-03-03_final.stac-item
2023-03-03 11:24:45	ga_s2bm_ard_3-2-1_51JWM_2023-03-03_final.stac-item
2023-03-03 11:25:00	ga_s2bm_ard_3-2-1_51JWL_2023-03-03_final.stac-item
2023-03-03 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2023-03-03_final.stac-item
2023-03-03 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2023-03-03_final.stac-item
2023-03-03 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2023-03-03_final.stac-item
2023-03-03 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2023-03-03_final.stac-item
2023-03-03 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2023-03-03_final.stac-item
2023-03-03 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2023-03-03_final.stac-item
2023-03-03 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2023-03-03_final.stac-item
2023-03-03 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2023-03-03_final.stac-item
2023-03-03 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2023-03-03_final.stac-item
2023-03-03 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2023-03-03_final.stac-item
2023-03-03 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2023-03-03_final.stac-item
2023-03-15 12:00:44	ga_s2bm_ard_3-2-1_50LNP_2023-03-15_nrt.stac-item
2023-03-15 12:00:48	ga_s2bm_ard_3-2-1_50LMP_2023-03-15_nrt.stac-item
2023-03-15 12:00:59	ga_s2bm_ard_3-2-1_50LNN_2023-03-15_nrt.stac-item
2023-03-15 12:01:02	ga_s2bm_ard_3-2-1_50LMN_2023-03-15_nrt.stac-item
2023-03-15 12:01:13	ga_s2bm_ard_3-2-1_50LNM_2023-03-15_nrt.stac-item
2023-03-15 12:01:16	ga_s2bm_ard_3-2-1_50LMM_2023-03-15_nrt.stac-item
2023-03-15 12:01:28	ga_s2bm_ard_3-2-1_50LNL_2023-03-15_nrt.stac-item
2023-03-15 12:01:31	ga_s2bm_ard_3-2-1_50LML_2023-03-15_nrt.stac-item
2023-03-15 12:01:38	ga_s2bm_ard_3-2-1_50LPK_2023-03-15_nrt.stac-item
2023-03-15 12:01:41	ga_s2bm_ard_3-2-1_50LNK_2023-03-15_nrt.stac-item
2023-03-15 12:01:42	ga_s2bm_ard_3-2-1_50LMK_2023-03-15_nrt.stac-item
2023-03-15 12:01:45	ga_s2bm_ard_3-2-1_50LLK_2023-03-15_nrt.stac-item
2023-03-15 12:01:46	ga_s2bm_ard_3-2-1_50LPJ_2023-03-15_nrt.stac-item
2023-03-15 12:01:48	ga_s2bm_ard_3-2-1_50LNJ_2023-03-15_nrt.stac-item
2023-03-15 12:03:00	ga_s2bm_ard_3-2-1_50KNE_2023-03-15_nrt.stac-item
2023-03-15 12:03:02	ga_s2bm_ard_3-2-1_50KME_2023-03-15_nrt.stac-item
2023-03-15 12:03:03	ga_s2bm_ard_3-2-1_50KLE_2023-03-15_nrt.stac-item
2023-03-15 12:03:06	ga_s2bm_ard_3-2-1_50KKE_2023-03-15_nrt.stac-item
2023-03-15 12:03:09	ga_s2bm_ard_3-2-1_50KND_2023-03-15_nrt.stac-item
2023-03-15 12:03:13	ga_s2bm_ard_3-2-1_50KMD_2023-03-15_nrt.stac-item
2023-03-15 12:03:16	ga_s2bm_ard_3-2-1_50KLD_2023-03-15_nrt.stac-item
2023-03-15 12:03:19	ga_s2bm_ard_3-2-1_50KKD_2023-03-15_nrt.stac-item
2023-03-15 12:03:34	ga_s2bm_ard_3-2-1_49KHT_2023-03-15_nrt.stac-item
2023-03-15 12:06:30	ga_s2bm_ard_3-2-1_49JFF_2023-03-15_nrt.stac-item
2023-03-16 11:37:35	ga_s2bm_ard_3-2-1_50HPF_2023-03-16_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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