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
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_54HXE_2017-08-04_final
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53HPA_2017-09-25_final
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_54KVE_2017-09-25_final
2017-10-04 11:02:43	ga_s2bm_ard_3-2-1_52JCQ_2017-10-04_final
2017-12-24 10:26:56	ga_s2bm_ard_3-2-1_54KTG_2017-12-24_final
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_53KNA_2017-12-30_final
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53LNE_2018-01-19_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXA_2018-01-31_final
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KNC_2018-02-16_final
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_54KVF_2018-02-22_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_52KBV_2018-03-09_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KXS_2018-05-08_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_51JTH_2018-07-03_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53HME_2018-07-15_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JXF_2018-07-27_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KVA_2018-08-29_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52JGT_2018-08-30_final
2018-11-19 10:33:17	ga_s2bm_ard_3-2-1_53KQR_2018-11-19_final
2019-01-03 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-01-03_final
2019-01-26 11:34:43	ga_s2bm_ard_3-2-1_51JVM_2019-01-26_final
2019-03-23 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2019-03-23_final
2019-04-06 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2019-04-06_final
2019-04-07 11:01:12	ga_s2bm_ard_3-2-1_53LLE_2019-04-07_final
2019-05-26 11:33:39	ga_s2bm_ard_3-2-1_51KVS_2019-05-26_final
2019-06-18 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-06-18_final
2019-10-12 10:19:45	ga_s2bm_ard_3-2-1_54LXQ_2019-10-12_final
2019-10-13 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2019-10-13_final
2019-12-31 10:20:37	ga_s2bm_ard_3-2-1_54LXL_2019-12-31_final
2020-01-11 11:35:02	ga_s2bm_ard_3-2-1_51JWK_2020-01-11_final
2020-01-29 10:52:19	ga_s2bm_ard_3-2-1_53KLV_2020-01-29_final
2020-02-02 10:33:28	ga_s2bm_ard_3-2-1_53KQQ_2020-02-02_final
2020-02-22 10:36:43	ga_s2bm_ard_3-2-1_53HPB_2020-02-22_final
2020-03-03 10:33:18	ga_s2bm_ard_3-2-1_53KQR_2020-03-03_final
2020-03-14 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2020-03-14_final
2020-08-02 11:16:05	ga_s2bm_ard_3-2-1_52JCL_2020-08-02_final
2020-09-26 12:06:16	ga_s2bm_ard_3-2-1_50JKM_2020-09-26_final
2020-09-28 11:03:36	ga_s2bm_ard_3-2-1_52KHV_2020-09-28_final
2020-10-27 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2020-10-27_final
2020-11-06 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2020-11-06_final
2020-11-12 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2020-11-12_final
2020-12-02 10:11:23	ga_s2bm_ard_3-2-1_54LZH_2020-12-02_final
2020-12-06 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2020-12-06_final
2021-02-01 11:25:20	ga_s2bm_ard_3-2-1_51JYJ_2021-02-01_final
2021-03-08 10:36:45	ga_s2bm_ard_3-2-1_53HPB_2021-03-08_final
2021-03-23 11:21:58	ga_s2bm_ard_3-2-1_51LYC_2021-03-23_final
2021-06-06 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-06_final
2021-08-02 10:27:01	ga_s2bm_ard_3-2-1_54HTF_2021-08-02_final
2021-08-16 11:44:45	ga_s2bm_ard_3-2-1_51JTM_2021-08-16_final
2021-10-01 10:26:35	ga_s2bm_ard_3-2-1_53HPC_2021-10-01_final
2021-10-01 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-10-01_final
2021-10-22 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2021-10-22_final
2021-11-05 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2021-11-05_final
2021-11-09 10:53:13	ga_s2bm_ard_3-2-1_53KKS_2021-11-09_final
2021-11-26 10:45:56	ga_s2bm_ard_3-2-1_52JGL_2021-11-26_final
2021-11-30 10:19:54	ga_s2bm_ard_3-2-1_54LXP_2021-11-30_final
2021-12-12 11:04:01	ga_s2bm_ard_3-2-1_52KDU_2021-12-12_final
2022-01-09 10:19:52	ga_s2bm_ard_3-2-1_54LYP_2022-01-09_final
2022-05-13 10:05:54	ga_s2bm_ard_3-2-1_54HXK_2022-05-13_final
2022-05-29 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2022-05-29_final
2022-05-29 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2022-05-29_final
2022-06-01 10:34:31	ga_s2bm_ard_3-2-1_53JPL_2022-06-01_final
2022-06-16 11:24:36	ga_s2bm_ard_3-2-1_51JZM_2022-06-16_final
2022-06-22 10:06:54	ga_s2bm_ard_3-2-1_54HYF_2022-06-22_final
2022-06-30 11:05:57	ga_s2bm_ard_3-2-1_52JCM_2022-06-30_final
2022-07-05 10:16:39	ga_s2bm_ard_3-2-1_54HTH_2022-07-05_final
2022-07-28 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2022-07-28_final
2022-07-31 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2022-07-31_final
2022-08-21 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-08-21_final
2022-09-04 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2022-09-04_final.stac-item
2022-09-17 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2022-09-17_final.stac-item
2022-10-10 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2022-10-10_final.stac-item
2022-11-19 10:05:41	ga_s2bm_ard_3-2-1_54JXL_2022-11-19_final.stac-item
2022-11-21 10:41:45	ga_s2bm_ard_3-2-1_53KRB_2022-11-21_final.stac-item
2022-11-22 10:16:45	ga_s2bm_ard_3-2-1_54HUG_2022-11-22_final.stac-item
2022-11-26 09:58:04	ga_s2bm_ard_3-2-1_54GYA_2022-11-26_final.stac-item
2022-11-29 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2022-11-29_final.stac-item
2022-12-12 10:10:57	ga_s2bm_ard_3-2-1_54LYK_2022-12-12_final.stac-item
2022-12-12 13:31:36	ga_s2bm_ard_3-2-1_47LKG_2022-12-12_interim.stac-item
2023-01-18 10:07:05	ga_s2bm_ard_3-2-1_54HXE_2023-01-18_final.stac-item
2023-01-21 11:57:11	ga_s2bm_ard_3-2-1_50HKH_2023-01-21_nrt.stac-item
2023-01-30 10:44:54	ga_s2bm_ard_3-2-1_53JLK_2023-01-30_final.stac-item
2023-03-04 10:52:31	ga_s2bm_ard_3-2-1_53KKV_2023-03-04_final.stac-item
2023-03-29 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2023-03-29_final.stac-item
2023-04-13 10:54:17	ga_s2bm_ard_3-2-1_52JHT_2023-04-13_final.stac-item
2023-06-17 11:43:38	ga_s2bm_ard_3-2-1_50KRB_2023-06-17_final.stac-item
2023-10-24 10:36:33	ga_s2bm_ard_3-2-1_53HPC_2023-10-24_final.stac-item
2023-11-11 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2023-11-11_final.stac-item
2023-11-25 11:10:53	ga_s2bm_ard_3-2-1_52LGL_2023-11-25_final.stac-item
2023-12-09 10:54:12	ga_s2bm_ard_3-2-1_52JGT_2023-12-09_final.stac-item
2023-12-10 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2023-12-10_final.stac-item
2024-01-27 11:22:21	ga_s2bm_ard_3-2-1_52KBF_2024-01-27_final.stac-item
2024-02-05 10:15:48	ga_s2bm_ard_3-2-1_54HXK_2024-02-05_final.stac-item
2024-03-07 11:21:49	ga_s2bm_ard_3-2-1_51LZC_2024-03-07_final.stac-item
2024-03-08 10:53:26	ga_s2bm_ard_3-2-1_52KGA_2024-03-08_final.stac-item
2024-03-09 10:20:44	ga_s2bm_ard_3-2-1_54LZK_2024-03-09_final.stac-item
2024-03-10 11:31:01	ga_s2bm_ard_3-2-1_51LZF_2024-03-10_nrt.stac-item
2024-03-13 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2024-03-13_final.stac-item
2024-03-21 11:02:10	ga_s2bm_ard_3-2-1_53KKA_2024-03-21_final.stac-item
2024-03-24 11:11:37	ga_s2bm_ard_3-2-1_52LDJ_2024-03-24_final.stac-item
2024-03-25 10:42:46	ga_s2bm_ard_3-2-1_53KQT_2024-03-25_final.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

Other products

All years