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
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53KMU_2017-10-28_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49JFM_2017-11-04_final
2017-11-07 10:37:13	ga_s2bm_ard_3-2-1_53KQR_2017-11-07_final
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_53JPF_2017-11-11_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JDL_2017-11-13_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KCC_2017-12-06_final
2017-12-20 10:47:12	ga_s2bm_ard_3-2-1_53KLT_2017-12-20_final
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_53KNV_2018-01-06_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53HMD_2018-01-26_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53JQM_2018-04-23_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGK_2018-06-22_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51HXE_2018-08-23_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JRN_2018-08-31_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JNM_2018-09-03_final
2018-11-18 11:02:12	ga_s2bm_ard_3-2-1_52KGF_2018-11-18_final
2018-12-23 11:55:45	ga_s2bm_ard_3-2-1_50JNN_2018-12-23_final
2019-02-04 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-02-04_final
2019-02-27 10:34:12	ga_s2bm_ard_3-2-1_53JNN_2019-02-27_final
2019-03-04 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2019-03-04_final
2019-03-24 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2019-03-24_final
2019-04-08 10:34:08	ga_s2bm_ard_3-2-1_53JQN_2019-04-08_final
2019-05-05 10:27:09	ga_s2bm_ard_3-2-1_53HQA_2019-05-05_final
2019-05-10 11:16:45	ga_s2bm_ard_3-2-1_51HYD_2019-05-10_final
2019-06-07 10:32:44	ga_s2bm_ard_3-2-1_53KQU_2019-06-07_final
2019-08-18 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2019-08-18_final
2019-09-05 10:34:16	ga_s2bm_ard_3-2-1_53JNN_2019-09-05_final
2019-09-27 11:16:26	ga_s2bm_ard_3-2-1_51HXE_2019-09-27_final
2019-09-28 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2019-09-28_final
2020-01-20 10:24:12	ga_s2bm_ard_3-2-1_53JRM_2020-01-20_final
2020-02-27 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-02-27_final
2020-02-28 10:52:57	ga_s2bm_ard_3-2-1_52KHC_2020-02-28_final
2020-03-01 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2020-03-01_final
2020-03-08 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2020-03-08_final
2020-03-13 10:34:12	ga_s2bm_ard_3-2-1_53JRM_2020-03-13_final
2020-03-26 10:43:49	ga_s2bm_ard_3-2-1_53KNP_2020-03-26_final
2020-05-21 11:00:45	ga_s2bm_ard_3-2-1_52LHM_2020-05-21_final
2020-06-28 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2020-06-28_final
2020-08-27 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-08-27_final
2020-09-19 10:37:00	ga_s2bm_ard_3-2-1_53HPA_2020-09-19_final
2020-10-05 10:54:01	ga_s2bm_ard_3-2-1_52KHU_2020-10-05_final
2020-10-17 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2020-10-17_final
2020-11-23 11:24:05	ga_s2bm_ard_3-2-1_52KBU_2020-11-23_final
2020-11-27 11:00:48	ga_s2bm_ard_3-2-1_52LGM_2020-11-27_final
2020-12-07 11:01:15	ga_s2bm_ard_3-2-1_52LGK_2020-12-07_final
2020-12-10 11:11:29	ga_s2bm_ard_3-2-1_52LFJ_2020-12-10_final
2020-12-10 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2020-12-10_final
2020-12-11 10:44:00	ga_s2bm_ard_3-2-1_53JPN_2020-12-11_final
2021-01-29 11:13:28	ga_s2bm_ard_3-2-1_51KZS_2021-01-29_final
2021-02-03 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2021-02-03_final
2021-02-07 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-02-07_final
2021-02-10 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-02-10_final
2021-04-16 11:06:20	ga_s2bm_ard_3-2-1_52HBK_2021-04-16_final
2021-06-06 10:33:50	ga_s2bm_ard_3-2-1_53KQP_2021-06-06_final
2021-06-06 10:34:14	ga_s2bm_ard_3-2-1_53JNN_2021-06-06_final
2021-07-22 10:56:06	ga_s2bm_ard_3-2-1_52JEL_2021-07-22_final
2021-08-05 10:36:18	ga_s2bm_ard_3-2-1_53HPD_2021-08-05_final
2021-09-02 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2021-09-02_final
2022-01-02 10:34:09	ga_s2bm_ard_3-2-1_53JNN_2022-01-02_final
2022-01-31 11:03:57	ga_s2bm_ard_3-2-1_52KEU_2022-01-31_final
2022-02-01 10:31:44	ga_s2bm_ard_3-2-1_53KRB_2022-02-01_final
2022-02-08 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2022-02-08_final
2022-02-27 10:55:38	ga_s2bm_ard_3-2-1_52JGM_2022-02-27_final
2022-05-29 10:25:35	ga_s2bm_ard_3-2-1_53JQG_2022-05-29_final
2022-05-29 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-05-29_final
2022-06-30 11:00:53	ga_s2bm_ard_3-2-1_52LGM_2022-06-30_final
2022-07-18 10:26:51	ga_s2bm_ard_3-2-1_53HQB_2022-07-18_final
2022-07-29 11:36:07	ga_s2bm_ard_3-2-1_51JTG_2022-07-29_final
2022-07-31 10:34:30	ga_s2bm_ard_3-2-1_53JNM_2022-07-31_final
2022-08-04 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-08-04_final
2022-09-06 10:24:42	ga_s2bm_ard_3-2-1_53JQL_2022-09-06_final.stac-item
2022-09-16 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2022-09-16_final.stac-item
2022-10-01 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2022-10-01_final.stac-item
2022-12-28 10:35:41	ga_s2bm_ard_3-2-1_53JNG_2022-12-28_final.stac-item
2022-12-30 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2022-12-30_final.stac-item
2022-12-31 10:43:45	ga_s2bm_ard_3-2-1_53KPP_2022-12-31_final.stac-item
2023-01-08 11:41:56	ga_s2bm_ard_3-2-1_51LVC_2023-01-08_final.stac-item
2023-01-09 11:14:17	ga_s2bm_ard_3-2-1_52JCT_2023-01-09_final.stac-item
2023-01-29 11:16:32	ga_s2bm_ard_3-2-1_52HBJ_2023-01-29_nrt.stac-item
2023-01-30 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2023-01-30_final.stac-item
2023-02-06 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2023-02-06_final.stac-item
2023-03-11 10:42:22	ga_s2bm_ard_3-2-1_53KQV_2023-03-11_final.stac-item
2023-03-12 11:57:17	ga_s2bm_ard_3-2-1_50HKH_2023-03-12_nrt.stac-item
2023-03-26 11:34:42	ga_s2bm_ard_3-2-1_51JWM_2023-03-26_final.stac-item
2023-03-28 10:36:20	ga_s2bm_ard_3-2-1_53HPD_2023-03-28_final.stac-item
2023-05-06 11:05:41	ga_s2bm_ard_3-2-1_52JFM_2023-05-06_final.stac-item
2023-05-26 11:05:31	ga_s2bm_ard_3-2-1_52JFN_2023-05-26_final.stac-item
2023-06-03 10:26:36	ga_s2bm_ard_3-2-1_53HQC_2023-06-03_final.stac-item
2023-06-14 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2023-06-14_final.stac-item
2023-07-02 10:54:32	ga_s2bm_ard_3-2-1_53JKM_2023-07-02_final.stac-item
2023-07-03 10:26:59	ga_s2bm_ard_3-2-1_53HNB_2023-07-03_final.stac-item
2023-07-07 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-07-07_final.stac-item
2023-07-07 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-07-07_final.stac-item
2023-07-30 11:56:13	ga_s2bm_ard_3-2-1_50JMM_2023-07-30_final.stac-item
2023-11-11 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2023-11-11_final.stac-item
2023-11-19 10:52:53	ga_s2bm_ard_3-2-1_53KLT_2023-11-19_final.stac-item
2023-11-23 10:31:45	ga_s2bm_ard_3-2-1_53KRB_2023-11-23_final.stac-item
2024-01-23 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2024-01-23_final.stac-item
2024-02-12 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2024-02-12_final.stac-item
2024-03-20 11:31:45	ga_s2bm_ard_3-2-1_51LZC_2024-03-20_final.stac-item
2024-04-11 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2024-04-11_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