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
2023-02-11 11:21:24	ga_s2bm_ard_3-2-1_51LZE_2023-02-11_final.stac-item
2023-02-11 11:21:39	ga_s2bm_ard_3-2-1_51LZD_2023-02-11_final.stac-item
2023-02-11 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2023-02-11_final.stac-item
2023-02-11 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2023-02-11_final.stac-item
2023-02-11 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2023-02-11_final.stac-item
2023-02-11 11:24:25	ga_s2bm_ard_3-2-1_51JXN_2023-02-11_final.stac-item
2023-02-11 11:24:31	ga_s2bm_ard_3-2-1_52JBS_2023-02-11_final.stac-item
2023-02-11 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-02-11_final.stac-item
2023-02-11 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2023-02-11_final.stac-item
2023-02-11 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2023-02-11_final.stac-item
2023-02-12 10:51:38	ga_s2bm_ard_3-2-1_53LMC_2023-02-12_final.stac-item
2023-02-12 10:51:52	ga_s2bm_ard_3-2-1_53KLB_2023-02-12_final.stac-item
2023-02-12 10:51:59	ga_s2bm_ard_3-2-1_53KLB_2023-02-12_final.stac-item
2023-02-12 10:52:51	ga_s2bm_ard_3-2-1_53KMT_2023-02-12_final.stac-item
2023-02-12 10:52:58	ga_s2bm_ard_3-2-1_52KHC_2023-02-12_final.stac-item
2023-02-12 10:53:05	ga_s2bm_ard_3-2-1_53KMS_2023-02-12_final.stac-item
2023-02-12 10:55:12	ga_s2bm_ard_3-2-1_52JGP_2023-02-12_final.stac-item
2023-02-12 10:55:30	ga_s2bm_ard_3-2-1_52JFN_2023-02-12_final.stac-item
2023-02-12 10:55:47	ga_s2bm_ard_3-2-1_52JEM_2023-02-12_final.stac-item
2023-02-13 10:24:00	ga_s2bm_ard_3-2-1_54JUT_2023-02-13_final.stac-item
2023-02-13 10:24:32	ga_s2bm_ard_3-2-1_54JTR_2023-02-13_final.stac-item
2023-02-13 10:25:04	ga_s2bm_ard_3-2-1_53JQJ_2023-02-13_final.stac-item
2023-02-13 10:25:30	ga_s2bm_ard_3-2-1_54JTM_2023-02-13_final.stac-item
2023-02-13 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2023-02-13_final.stac-item
2023-02-13 12:04:09	ga_s2bm_ard_3-2-1_50KLV_2023-02-13_final.stac-item
2023-02-13 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2023-02-13_final.stac-item
2023-02-13 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2023-02-13_final.stac-item
2023-02-13 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2023-02-13_final.stac-item
2023-02-13 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2023-02-13_final.stac-item
2023-02-13 12:06:13	ga_s2bm_ard_3-2-1_50JLL_2023-02-13_final.stac-item
2023-02-14 11:31:19	ga_s2bm_ard_3-2-1_51LZE_2023-02-14_final.stac-item
2023-02-14 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2023-02-14_final.stac-item
2023-02-14 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2023-02-14_final.stac-item
2023-02-14 11:34:34	ga_s2bm_ard_3-2-1_51JTN_2023-02-14_final.stac-item
2023-02-14 11:35:46	ga_s2bm_ard_3-2-1_51JTH_2023-02-14_final.stac-item
2023-02-14 11:35:49	ga_s2bm_ard_3-2-1_50JQN_2023-02-14_final.stac-item
2023-02-14 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2023-02-14_final.stac-item
2023-02-15 11:00:41	ga_s2bm_ard_3-2-1_53LKG_2023-02-15_final.stac-item
2023-02-15 11:00:56	ga_s2bm_ard_3-2-1_53LKF_2023-02-15_final.stac-item
2023-02-15 11:01:48	ga_s2bm_ard_3-2-1_52LFH_2023-02-15_final.stac-item
2023-02-15 11:01:50	ga_s2bm_ard_3-2-1_53KLB_2023-02-15_final.stac-item
2023-02-15 11:02:31	ga_s2bm_ard_3-2-1_52KFE_2023-02-15_final.stac-item
2023-02-15 11:03:11	ga_s2bm_ard_3-2-1_52KFB_2023-02-15_final.stac-item
2023-02-15 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2023-02-15_final.stac-item
2023-02-15 11:04:13	ga_s2bm_ard_3-2-1_52JFT_2023-02-15_final.stac-item
2023-02-15 11:04:16	ga_s2bm_ard_3-2-1_52JET_2023-02-15_final.stac-item
2023-02-15 11:05:43	ga_s2bm_ard_3-2-1_52JEM_2023-02-15_final.stac-item
2023-02-15 11:05:57	ga_s2bm_ard_3-2-1_52JBM_2023-02-15_final.stac-item
2023-02-16 10:33:00	ga_s2bm_ard_3-2-1_54KTB_2023-02-16_final.stac-item
2023-02-16 10:35:07	ga_s2bm_ard_3-2-1_53JNJ_2023-02-16_final.stac-item
2023-02-16 10:36:05	ga_s2bm_ard_3-2-1_53HNE_2023-02-16_final.stac-item
2023-02-16 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2023-02-16_final.stac-item
2023-02-16 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-16_final.stac-item
2023-02-17 10:05:43	ga_s2bm_ard_3-2-1_54JWL_2023-02-17_final.stac-item
2023-02-17 10:06:12	ga_s2bm_ard_3-2-1_54HWJ_2023-02-17_final.stac-item
2023-02-17 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2023-02-17_final.stac-item
2023-02-17 11:44:14	ga_s2bm_ard_3-2-1_50KRU_2023-02-17_final.stac-item
2023-02-17 11:44:51	ga_s2bm_ard_3-2-1_51JTM_2023-02-17_final.stac-item
2023-02-18 11:11:43	ga_s2bm_ard_3-2-1_52LFH_2023-02-18_final.stac-item
2023-02-18 11:12:12	ga_s2bm_ard_3-2-1_52KFF_2023-02-18_final.stac-item
2023-02-18 11:12:27	ga_s2bm_ard_3-2-1_52KFE_2023-02-18_final.stac-item
2023-02-18 11:12:59	ga_s2bm_ard_3-2-1_52KEC_2023-02-18_final.stac-item
2023-02-19 10:42:02	ga_s2bm_ard_3-2-1_53KQA_2023-02-19_final.stac-item
2023-02-19 10:42:11	ga_s2bm_ard_3-2-1_53KRV_2023-02-19_final.stac-item
2023-02-19 10:42:16	ga_s2bm_ard_3-2-1_53KQV_2023-02-19_final.stac-item
2023-02-19 10:42:21	ga_s2bm_ard_3-2-1_53KRU_2023-02-19_final.stac-item
2023-02-19 10:42:31	ga_s2bm_ard_3-2-1_53KQU_2023-02-19_final.stac-item
2023-02-19 10:43:07	ga_s2bm_ard_3-2-1_53KNS_2023-02-19_final.stac-item
2023-02-19 10:43:50	ga_s2bm_ard_3-2-1_53KNP_2023-02-19_final.stac-item
2023-02-19 10:44:15	ga_s2bm_ard_3-2-1_53JPM_2023-02-19_final.stac-item
2023-02-19 10:45:07	ga_s2bm_ard_3-2-1_53JMJ_2023-02-19_final.stac-item
2023-02-19 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2023-02-19_final.stac-item
2023-02-20 10:14:13	ga_s2bm_ard_3-2-1_54JWS_2023-02-20_final.stac-item
2023-02-20 10:14:30	ga_s2bm_ard_3-2-1_54JVR_2023-02-20_final.stac-item
2023-02-20 10:15:25	ga_s2bm_ard_3-2-1_54JWM_2023-02-20_final.stac-item
2023-02-20 10:16:48	ga_s2bm_ard_3-2-1_54HTG_2023-02-20_final.stac-item
2023-02-20 11:54:22	ga_s2bm_ard_3-2-1_50KNU_2023-02-20_final.stac-item
2023-02-20 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2023-02-20_final.stac-item
2023-02-20 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2023-02-20_final.stac-item
2023-02-20 11:56:21	ga_s2bm_ard_3-2-1_50JML_2023-02-20_final.stac-item
2023-02-21 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2023-02-21_final.stac-item
2023-02-21 11:22:56	ga_s2bm_ard_3-2-1_52KBD_2023-02-21_final.stac-item
2023-02-21 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2023-02-21_final.stac-item
2023-02-21 11:24:32	ga_s2bm_ard_3-2-1_52JBS_2023-02-21_final.stac-item
2023-02-21 11:24:44	ga_s2bm_ard_3-2-1_51JWM_2023-02-21_final.stac-item
2023-02-21 11:24:58	ga_s2bm_ard_3-2-1_51JWL_2023-02-21_final.stac-item
2023-02-21 11:25:52	ga_s2bm_ard_3-2-1_51JXG_2023-02-21_final.stac-item
2023-02-22 10:52:12	ga_s2bm_ard_3-2-1_53KLA_2023-02-22_final.stac-item
2023-02-22 10:53:46	ga_s2bm_ard_3-2-1_52KGV_2023-02-22_final.stac-item
2023-02-22 10:53:49	ga_s2bm_ard_3-2-1_53KMP_2023-02-22_final.stac-item
2023-02-22 10:53:57	ga_s2bm_ard_3-2-1_53KKP_2023-02-22_final.stac-item
2023-02-22 10:54:08	ga_s2bm_ard_3-2-1_53JLN_2023-02-22_final.stac-item
2023-02-22 10:54:58	ga_s2bm_ard_3-2-1_52JGQ_2023-02-22_final.stac-item
2023-02-22 10:55:16	ga_s2bm_ard_3-2-1_52JFP_2023-02-22_final.stac-item
2023-02-22 10:55:31	ga_s2bm_ard_3-2-1_52JFN_2023-02-22_final.stac-item
2023-03-13 09:48:56	ga_s2bm_ard_3-2-1_54GYT_2023-03-13_nrt.stac-item
2023-03-13 11:20:20	ga_s2bm_ard_3-2-1_52LEP_2023-03-13_nrt.stac-item
2023-03-13 11:20:56	ga_s2bm_ard_3-2-1_52LCM_2023-03-13_nrt.stac-item
2023-03-13 11:21:01	ga_s2bm_ard_3-2-1_51LZG_2023-03-13_nrt.stac-item
2023-03-13 11:21:11	ga_s2bm_ard_3-2-1_52LCL_2023-03-13_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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