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
2017-07-03 10:52:16	ga_s2bm_ard_3-2-1_52KHC_2017-07-03_final
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_53JRN_2017-07-04_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53JPN_2017-09-18_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JEL_2017-12-13_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50JNL_2017-12-18_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWL_2017-12-29_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KXA_2018-01-11_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_53LKH_2018-01-22_final
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53LMF_2018-01-29_final
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52LGJ_2018-02-01_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53KNT_2018-02-15_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51JXJ_2018-02-24_final
2018-06-05 10:45:09	ga_s2bm_ard_3-2-1_53JKF_2018-06-05_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52JBR_2018-06-17_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KVB_2018-07-30_final
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53KPP_2018-08-04_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50JPL_2018-09-18_final
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_52JEP_2018-10-16_final
2018-12-01 11:13:43	ga_s2bm_ard_3-2-1_52KDV_2018-12-01_final
2019-02-18 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2019-02-18_final
2019-02-20 10:44:28	ga_s2bm_ard_3-2-1_53JPL_2019-02-20_final
2019-03-22 10:41:49	ga_s2bm_ard_3-2-1_53KQB_2019-03-22_final
2019-03-23 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-03-23_final
2019-04-19 11:45:56	ga_s2bm_ard_3-2-1_50JPN_2019-04-19_final
2019-04-29 11:42:06	ga_s2bm_ard_3-2-1_51LVC_2019-04-29_final
2019-05-04 10:51:18	ga_s2bm_ard_3-2-1_53LME_2019-05-04_final
2019-06-09 11:15:26	ga_s2bm_ard_3-2-1_52JCP_2019-06-09_final
2020-01-21 11:31:36	ga_s2bm_ard_3-2-1_51LXD_2020-01-21_final
2020-02-14 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2020-02-14_final
2020-03-03 10:33:32	ga_s2bm_ard_3-2-1_53KQQ_2020-03-03_final
2020-04-10 11:31:32	ga_s2bm_ard_3-2-1_51LZD_2020-04-10_final
2020-05-02 10:36:18	ga_s2bm_ard_3-2-1_53HND_2020-05-02_final
2020-05-14 11:13:24	ga_s2bm_ard_3-2-1_52KBB_2020-05-14_final
2020-05-23 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2020-05-23_final
2020-08-11 11:44:49	ga_s2bm_ard_3-2-1_51JTM_2020-08-11_final
2020-09-19 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2020-09-19_final
2020-09-23 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2020-09-23_final
2020-09-29 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2020-09-29_final
2020-11-03 11:26:32	ga_s2bm_ard_3-2-1_51HVE_2020-11-03_final
2020-11-30 11:14:02	ga_s2bm_ard_3-2-1_52KDU_2020-11-30_final
2020-12-05 10:26:06	ga_s2bm_ard_3-2-1_53HPE_2020-12-05_final
2020-12-24 10:52:35	ga_s2bm_ard_3-2-1_53KMU_2020-12-24_final
2020-12-31 10:44:15	ga_s2bm_ard_3-2-1_53JPM_2020-12-31_final
2021-01-26 11:06:37	ga_s2bm_ard_3-2-1_51HYD_2021-01-26_final
2021-02-28 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2021-02-28_final
2021-03-14 10:52:17	ga_s2bm_ard_3-2-1_53KNV_2021-03-14_final
2021-05-05 11:34:46	ga_s2bm_ard_3-2-1_51JTM_2021-05-05_final
2021-05-10 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2021-05-10_final
2021-05-18 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2021-05-18_final
2021-05-25 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-05-25_final
2021-09-01 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2021-09-01_final
2021-10-30 10:52:16	ga_s2bm_ard_3-2-1_53KKA_2021-10-30_final
2021-11-04 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2021-11-04_final
2022-01-31 11:01:36	ga_s2bm_ard_3-2-1_53LKC_2022-01-31_final
2022-01-31 11:02:59	ga_s2bm_ard_3-2-1_52KEC_2022-01-31_final
2022-03-30 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2022-03-30_final
2022-04-01 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2022-04-01_final
2022-06-09 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2022-06-09_final
2022-08-09 11:04:51	ga_s2bm_ard_3-2-1_52JER_2022-08-09_final
2022-08-28 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2022-08-28_final
2022-09-02 10:42:45	ga_s2bm_ard_3-2-1_53KMU_2022-09-02_final.stac-item
2022-09-04 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2022-09-04_final.stac-item
2022-09-20 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2022-09-20_final.stac-item
2022-09-26 10:26:45	ga_s2bm_ard_3-2-1_54HTG_2022-09-26_final.stac-item
2022-10-07 11:36:29	ga_s2bm_ard_3-2-1_51HTE_2022-10-07_final.stac-item
2022-10-23 13:31:38	ga_s2bm_ard_3-2-1_46LHM_2022-10-23_interim.stac-item
2022-10-29 10:34:46	ga_s2bm_ard_3-2-1_53JQK_2022-10-29_final.stac-item
2022-11-20 11:13:04	ga_s2bm_ard_3-2-1_52KDC_2022-11-20_final.stac-item
2022-11-21 10:42:32	ga_s2bm_ard_3-2-1_53KQU_2022-11-21_final.stac-item
2022-12-02 13:31:32	ga_s2bm_ard_3-2-1_46LHN_2022-12-02_interim.stac-item
2022-12-17 11:01:54	ga_s2bm_ard_3-2-1_53KKB_2022-12-17_final.stac-item
2022-12-21 10:41:40	ga_s2bm_ard_3-2-1_53LNC_2022-12-21_final.stac-item
2022-12-22 10:16:20	ga_s2bm_ard_3-2-1_54HTJ_2022-12-22_final.stac-item
2023-01-06 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2023-01-06_final.stac-item
2023-02-05 11:01:04	ga_s2bm_ard_3-2-1_52LGL_2023-02-05_final.stac-item
2023-02-15 11:05:47	ga_s2bm_ard_3-2-1_52JDM_2023-02-15_final.stac-item
2023-05-02 11:21:12	ga_s2bm_ard_3-2-1_52LBL_2023-05-02_nrt.stac-item
2023-05-05 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2023-05-05_final.stac-item
2023-05-08 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2023-05-08_final.stac-item
2023-05-15 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2023-05-15_final.stac-item
2023-06-01 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-06-01_final.stac-item
2023-06-19 10:46:10	ga_s2bm_ard_3-2-1_53HME_2023-06-19_final.stac-item
2023-06-21 11:23:39	ga_s2bm_ard_3-2-1_52KBA_2023-06-21_final.stac-item
2023-07-02 10:51:42	ga_s2bm_ard_3-2-1_53LLC_2023-07-02_final.stac-item
2023-07-09 10:43:46	ga_s2bm_ard_3-2-1_53KMQ_2023-07-09_final.stac-item
2023-07-27 11:43:21	ga_s2bm_ard_3-2-1_51KUT_2023-07-27_final.stac-item
2023-09-30 10:50:37	ga_s2bm_ard_3-2-1_53LPG_2023-09-30_final.stac-item
2023-11-11 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2023-11-11_final.stac-item
2023-11-29 10:54:59	ga_s2bm_ard_3-2-1_52JFQ_2023-11-29_final.stac-item
2023-12-03 10:36:25	ga_s2bm_ard_3-2-1_53HLD_2023-12-03_final.stac-item
2023-12-08 11:21:06	ga_s2bm_ard_3-2-1_52LBL_2023-12-08_nrt.stac-item
2023-12-28 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2023-12-28_final.stac-item
2024-01-18 10:53:27	ga_s2bm_ard_3-2-1_52KHA_2024-01-18_final.stac-item
2024-01-21 11:04:14	ga_s2bm_ard_3-2-1_52JFT_2024-01-21_final.stac-item
2024-02-13 11:12:21	ga_s2bm_ard_3-2-1_52KDF_2024-02-13_final.stac-item
2024-03-12 10:33:49	ga_s2bm_ard_3-2-1_53KPP_2024-03-12_final.stac-item
2024-03-15 10:41:47	ga_s2bm_ard_3-2-1_53KQB_2024-03-15_final.stac-item
2024-03-24 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2024-03-24_final.stac-item
2024-03-31 11:02:54	ga_s2bm_ard_3-2-1_52KHC_2024-03-31_final.stac-item
2024-04-17 10:51:41	ga_s2bm_ard_3-2-1_53LNC_2024-04-17_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