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
2023-01-25 09:51:17	ga_s2bm_ard_3-2-1_55LFC_2023-01-25_final.stac-item
2023-01-25 09:52:40	ga_s2bm_ard_3-2-1_55KGS_2023-01-25_final.stac-item
2023-01-25 09:56:32	ga_s2bm_ard_3-2-1_55HCB_2023-01-25_final.stac-item
2023-01-25 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2023-01-25_final.stac-item
2023-01-25 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2023-01-25_final.stac-item
2023-01-25 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2023-01-25_final.stac-item
2023-01-25 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2023-01-25_final.stac-item
2023-01-25 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2023-01-25_final.stac-item
2023-01-25 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2023-01-25_final.stac-item
2023-01-25 11:35:06	ga_s2bm_ard_3-2-1_51JWK_2023-01-25_final.stac-item
2023-01-25 11:35:54	ga_s2bm_ard_3-2-1_51JVG_2023-01-25_final.stac-item
2023-01-26 09:25:52	ga_s2bm_ard_3-2-1_56HMJ_2023-01-25_final.stac-item
2023-01-26 09:27:59	ga_s2bm_ard_3-2-1_55GFR_2023-01-25_final.stac-item
2023-01-26 11:00:56	ga_s2bm_ard_3-2-1_53LME_2023-01-26_final.stac-item
2023-01-26 11:02:27	ga_s2bm_ard_3-2-1_52KGE_2023-01-26_final.stac-item
2023-01-26 11:02:31	ga_s2bm_ard_3-2-1_52KFE_2023-01-26_final.stac-item
2023-01-26 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2023-01-26_final.stac-item
2023-01-26 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2023-01-26_final.stac-item
2023-01-26 11:03:29	ga_s2bm_ard_3-2-1_52KFA_2023-01-26_final.stac-item
2023-01-26 11:04:09	ga_s2bm_ard_3-2-1_52JGT_2023-01-26_final.stac-item
2023-01-26 11:04:19	ga_s2bm_ard_3-2-1_52JDT_2023-01-26_final.stac-item
2023-01-26 11:05:15	ga_s2bm_ard_3-2-1_52JEP_2023-01-26_final.stac-item
2023-01-26 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2023-01-26_final.stac-item
2023-01-26 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2023-01-26_final.stac-item
2023-01-26 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2023-01-26_final.stac-item
2023-01-27 10:31:07	ga_s2bm_ard_3-2-1_54LWJ_2023-01-27_final.stac-item
2023-01-27 10:31:20	ga_s2bm_ard_3-2-1_54LWH_2023-01-27_final.stac-item
2023-01-27 10:31:26	ga_s2bm_ard_3-2-1_54LVH_2023-01-27_final.stac-item
2023-01-27 10:31:30	ga_s2bm_ard_3-2-1_54KWG_2023-01-27_final.stac-item
2023-01-27 10:31:40	ga_s2bm_ard_3-2-1_54KVG_2023-01-27_final.stac-item
2023-01-27 10:32:01	ga_s2bm_ard_3-2-1_54KTF_2023-01-27_final.stac-item
2023-01-27 10:32:09	ga_s2bm_ard_3-2-1_53KQA_2023-01-27_final.stac-item
2023-01-27 10:32:16	ga_s2bm_ard_3-2-1_54KTE_2023-01-27_final.stac-item
2023-01-27 10:32:20	ga_s2bm_ard_3-2-1_53KQV_2023-01-27_final.stac-item
2023-01-27 10:32:28	ga_s2bm_ard_3-2-1_53KQU_2023-01-27_final.stac-item
2023-01-27 10:32:35	ga_s2bm_ard_3-2-1_53KQU_2023-01-27_final.stac-item
2023-01-27 10:32:41	ga_s2bm_ard_3-2-1_54KUC_2023-01-27_final.stac-item
2023-01-27 10:32:46	ga_s2bm_ard_3-2-1_53KRT_2023-01-27_final.stac-item
2023-01-27 10:32:56	ga_s2bm_ard_3-2-1_54KUB_2023-01-27_final.stac-item
2023-01-27 10:33:00	ga_s2bm_ard_3-2-1_53KRS_2023-01-27_final.stac-item
2023-01-27 10:33:14	ga_s2bm_ard_3-2-1_53KRR_2023-01-27_final.stac-item
2023-01-27 10:33:25	ga_s2bm_ard_3-2-1_54KUV_2023-01-27_final.stac-item
2023-01-27 10:33:36	ga_s2bm_ard_3-2-1_53KPQ_2023-01-27_final.stac-item
2023-01-27 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2023-01-27_final.stac-item
2023-01-27 10:33:50	ga_s2bm_ard_3-2-1_54JUT_2023-01-27_final.stac-item
2023-01-27 10:33:51	ga_s2bm_ard_3-2-1_53KPP_2023-01-27_final.stac-item
2023-01-27 10:33:55	ga_s2bm_ard_3-2-1_54JTT_2023-01-27_final.stac-item
2023-01-27 10:33:57	ga_s2bm_ard_3-2-1_53JQN_2023-01-27_final.stac-item
2023-01-27 10:33:59	ga_s2bm_ard_3-2-1_53KPP_2023-01-27_final.stac-item
2023-01-27 10:34:02	ga_s2bm_ard_3-2-1_54JTT_2023-01-27_final.stac-item
2023-01-27 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2023-01-27_final.stac-item
2023-01-27 10:34:12	ga_s2bm_ard_3-2-1_53JRM_2023-01-27_final.stac-item
2023-01-27 10:34:16	ga_s2bm_ard_3-2-1_53JQM_2023-01-27_final.stac-item
2023-01-27 10:34:52	ga_s2bm_ard_3-2-1_53JNK_2023-01-27_final.stac-item
2023-01-27 10:35:06	ga_s2bm_ard_3-2-1_54JTN_2023-01-27_final.stac-item
2023-01-27 10:35:07	ga_s2bm_ard_3-2-1_53JNJ_2023-01-27_final.stac-item
2023-01-27 10:35:17	ga_s2bm_ard_3-2-1_53JPH_2023-01-27_final.stac-item
2023-01-27 10:35:28	ga_s2bm_ard_3-2-1_53JQG_2023-01-27_final.stac-item
2023-01-27 10:35:32	ga_s2bm_ard_3-2-1_53JPG_2023-01-27_final.stac-item
2023-01-27 10:35:42	ga_s2bm_ard_3-2-1_53JQF_2023-01-27_final.stac-item
2023-01-27 10:36:05	ga_s2bm_ard_3-2-1_53HNE_2023-01-27_final.stac-item
2023-01-27 10:36:19	ga_s2bm_ard_3-2-1_53HND_2023-01-27_final.stac-item
2023-01-27 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2023-01-27_final.stac-item
2023-01-27 10:36:33	ga_s2bm_ard_3-2-1_53HNC_2023-01-27_final.stac-item
2023-01-27 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-01-27_final.stac-item
2023-01-27 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-01-27_final.stac-item
2023-01-27 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2023-01-27_final.stac-item
2023-01-27 12:14:17	ga_s2bm_ard_3-2-1_50KKU_2023-01-27_final.stac-item
2023-01-27 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-01-27_final.stac-item
2023-01-27 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-01-27_final.stac-item
2023-01-27 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2023-01-27_final.stac-item
2023-01-27 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-01-27_final.stac-item
2023-01-27 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-01-27_final.stac-item
2023-01-27 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-27_final.stac-item
2023-01-27 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2023-01-27_final.stac-item
2023-02-06 10:36:40	ga_s2bm_ard_3-2-1_53HLC_2023-02-06_nrt.stac-item
2023-02-06 12:10:27	ga_s2bm_ard_3-2-1_50LNP_2023-02-06_nrt.stac-item
2023-02-06 12:10:28	ga_s2bm_ard_3-2-1_50LMP_2023-02-06_nrt.stac-item
2023-02-06 12:13:27	ga_s2bm_ard_3-2-1_49KHT_2023-02-06_nrt.stac-item
2023-02-06 12:13:29	ga_s2bm_ard_3-2-1_49KGT_2023-02-06_nrt.stac-item
2023-02-06 12:13:42	ga_s2bm_ard_3-2-1_49KGS_2023-02-06_nrt.stac-item
2023-02-06 12:15:12	ga_s2bm_ard_3-2-1_49JFL_2023-02-06_nrt.stac-item
2023-02-06 12:15:20	ga_s2bm_ard_3-2-1_49JFK_2023-02-06_nrt.stac-item
2023-02-07 09:59:45	ga_s2bm_ard_3-2-1_55LFJ_2023-02-07_nrt.stac-item
2023-02-07 10:00:00	ga_s2bm_ard_3-2-1_55LFH_2023-02-07_nrt.stac-item
2023-02-07 10:00:14	ga_s2bm_ard_3-2-1_55LFG_2023-02-07_nrt.stac-item
2023-02-07 10:00:29	ga_s2bm_ard_3-2-1_55LFF_2023-02-07_nrt.stac-item
2023-02-07 10:00:43	ga_s2bm_ard_3-2-1_55LFE_2023-02-07_nrt.stac-item
2023-02-07 10:00:57	ga_s2bm_ard_3-2-1_55LFD_2023-02-07_nrt.stac-item
2023-02-07 10:01:04	ga_s2bm_ard_3-2-1_55LDD_2023-02-07_nrt.stac-item
2023-02-07 10:01:19	ga_s2bm_ard_3-2-1_55LDC_2023-02-07_nrt.stac-item
2023-02-07 10:07:46	ga_s2bm_ard_3-2-1_54HXB_2023-02-07_nrt.stac-item
2023-02-07 11:40:22	ga_s2bm_ard_3-2-1_51LXJ_2023-02-07_nrt.stac-item
2023-02-07 11:40:29	ga_s2bm_ard_3-2-1_51LVJ_2023-02-07_nrt.stac-item
2023-02-07 11:40:37	ga_s2bm_ard_3-2-1_51LXH_2023-02-07_nrt.stac-item
2023-02-07 11:40:44	ga_s2bm_ard_3-2-1_51LVH_2023-02-07_nrt.stac-item
2023-02-07 11:40:52	ga_s2bm_ard_3-2-1_51LXG_2023-02-07_nrt.stac-item
2023-02-07 11:41:05	ga_s2bm_ard_3-2-1_51LXF_2023-02-07_nrt.stac-item
2023-02-07 11:41:35	ga_s2bm_ard_3-2-1_51LTE_2023-02-07_nrt.stac-item
2023-02-07 11:41:39	ga_s2bm_ard_3-2-1_51LWD_2023-02-07_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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