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
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JNF_2017-09-05_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KZT_2017-11-19_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JFR_2018-01-12_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JUH_2018-01-21_final
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52KGD_2018-02-01_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUU_2018-02-03_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51KXR_2018-02-27_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51JXJ_2018-03-26_final
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51HYD_2018-06-24_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLM_2018-08-05_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JUF_2018-10-05_final
2018-10-26 10:50:30	ga_s2bm_ard_3-2-1_52KGV_2018-10-26_final
2018-11-11 11:15:45	ga_s2bm_ard_3-2-1_52JCM_2018-11-11_final
2018-12-21 11:16:11	ga_s2bm_ard_3-2-1_51JYF_2018-12-21_final
2018-12-28 11:05:45	ga_s2bm_ard_3-2-1_52JDM_2018-12-28_final
2019-01-06 11:31:41	ga_s2bm_ard_3-2-1_51LXD_2019-01-06_final
2019-01-06 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2019-01-06_final
2019-01-23 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2019-01-23_final
2019-01-26 11:32:22	ga_s2bm_ard_3-2-1_51KYA_2019-01-26_final
2019-02-07 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-02-07_final
2019-03-21 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2019-03-21_final.stac-item
2019-03-25 10:54:41	ga_s2bm_ard_3-2-1_53JKL_2019-03-25_final
2019-04-02 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2019-04-02_final
2019-04-07 11:01:17	ga_s2bm_ard_3-2-1_52LHK_2019-04-07_final
2019-04-29 11:45:29	ga_s2bm_ard_3-2-1_50JPQ_2019-04-29_final
2019-05-26 11:37:06	ga_s2bm_ard_3-2-1_51HUC_2019-05-26_final
2019-06-19 11:13:33	ga_s2bm_ard_3-2-1_52KBB_2019-06-19_final
2020-01-18 11:22:06	ga_s2bm_ard_3-2-1_52KDF_2020-01-18_final
2020-01-21 11:33:06	ga_s2bm_ard_3-2-1_51KWT_2020-01-21_final
2020-02-19 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2020-02-19_final
2020-03-22 11:06:22	ga_s2bm_ard_3-2-1_52HBK_2020-03-22_final
2020-04-20 11:35:18	ga_s2bm_ard_3-2-1_51JVJ_2020-04-20_final
2020-06-18 10:26:53	ga_s2bm_ard_3-2-1_53HPB_2020-06-18_final
2020-06-19 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-06-19_final
2020-07-20 11:04:02	ga_s2bm_ard_3-2-1_52KFU_2020-07-20_final
2020-07-20 11:04:45	ga_s2bm_ard_3-2-1_52JFR_2020-07-20_final
2020-08-17 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2020-08-17_final
2020-10-30 11:42:36	ga_s2bm_ard_3-2-1_51KVA_2020-10-30_final
2020-11-03 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2020-11-03_final
2020-11-06 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2020-11-06_final
2020-12-10 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2020-12-10_final
2020-12-20 11:11:23	ga_s2bm_ard_3-2-1_52LGJ_2020-12-20_final
2021-01-04 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2021-01-04_final
2021-01-05 11:34:28	ga_s2bm_ard_3-2-1_51JVN_2021-01-05_final
2021-01-19 11:11:34	ga_s2bm_ard_3-2-1_52LEJ_2021-01-19_final
2021-01-24 10:25:40	ga_s2bm_ard_3-2-1_53JPG_2021-01-24_final
2021-02-06 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-02-06_final
2021-02-13 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2021-02-13_final
2021-02-18 11:11:31	ga_s2bm_ard_3-2-1_52LEJ_2021-02-18_final
2021-03-21 10:44:12	ga_s2bm_ard_3-2-1_53JLN_2021-03-21_final
2021-05-26 11:03:57	ga_s2bm_ard_3-2-1_52KGU_2021-05-26_final
2021-06-03 12:04:27	ga_s2bm_ard_3-2-1_50KLU_2021-06-03_final
2021-06-04 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2021-06-04_final
2021-06-18 11:12:54	ga_s2bm_ard_3-2-1_52KCD_2021-06-18_final
2021-08-23 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2021-08-23_final
2021-09-11 10:26:50	ga_s2bm_ard_3-2-1_53HNB_2021-09-11_final
2021-10-02 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-10-02_final
2021-10-10 10:53:33	ga_s2bm_ard_3-2-1_52KGA_2021-10-10_final
2021-11-01 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2021-11-01_final
2021-11-08 11:21:47	ga_s2bm_ard_3-2-1_52LDH_2021-11-08_final
2021-12-31 11:36:53	ga_s2bm_ard_3-2-1_51HUC_2021-12-31_final
2022-01-19 10:26:37	ga_s2bm_ard_3-2-1_53HPC_2022-01-19_final
2022-01-24 11:11:43	ga_s2bm_ard_3-2-1_52LEH_2022-01-24_final
2022-03-15 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2022-03-15_final
2022-03-28 11:25:10	ga_s2bm_ard_3-2-1_51JWK_2022-03-28_final
2022-04-18 10:54:25	ga_s2bm_ard_3-2-1_52JGS_2022-04-18_final
2022-04-21 11:05:58	ga_s2bm_ard_3-2-1_52JDL_2022-04-21_final
2022-04-25 10:45:16	ga_s2bm_ard_3-2-1_53JMH_2022-04-25_final
2022-05-18 10:54:33	ga_s2bm_ard_3-2-1_52JFS_2022-05-18_final
2022-05-31 11:04:12	ga_s2bm_ard_3-2-1_52JFT_2022-05-31_final
2022-06-15 11:54:41	ga_s2bm_ard_3-2-1_50JNT_2022-06-15_final
2022-06-18 12:04:39	ga_s2bm_ard_3-2-1_50JMT_2022-06-18_final
2022-06-30 11:01:37	ga_s2bm_ard_3-2-1_52LGJ_2022-06-30_final
2022-07-29 11:34:37	ga_s2bm_ard_3-2-1_51JUN_2022-07-29_final
2022-07-29 11:35:03	ga_s2bm_ard_3-2-1_51JVL_2022-07-29_final
2022-08-05 11:23:29	ga_s2bm_ard_3-2-1_51KYS_2022-08-05_final
2022-10-01 11:14:45	ga_s2bm_ard_3-2-1_52JDR_2022-10-01_final.stac-item
2022-10-02 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2022-10-02_final.stac-item
2022-10-02 10:45:31	ga_s2bm_ard_3-2-1_53JNG_2022-10-02_final.stac-item
2022-11-14 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2022-11-14_final.stac-item
2022-11-29 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2022-11-29_final.stac-item
2023-01-07 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2023-01-07_final.stac-item
2023-01-19 12:50:56	ga_s2bm_ard_3-2-1_48LXP_2023-01-19_interim.stac-item
2023-01-29 11:13:46	ga_s2bm_ard_3-2-1_51KZQ_2023-01-29_final.stac-item
2023-04-01 11:55:09	ga_s2bm_ard_3-2-1_50JNR_2023-04-01_final.stac-item
2023-06-01 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2023-06-01_final.stac-item
2023-06-18 11:13:41	ga_s2bm_ard_3-2-1_52KCA_2023-06-18_final.stac-item
2023-07-04 11:32:38	ga_s2bm_ard_3-2-1_51KVA_2023-07-04_final.stac-item
2023-07-11 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-07-11_final.stac-item
2023-07-13 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2023-07-13_final.stac-item
2023-10-11 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2023-10-11_final.stac-item
2023-11-12 11:02:56	ga_s2bm_ard_3-2-1_52KHC_2023-11-12_final.stac-item
2023-12-11 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2023-12-11_final.stac-item
2023-12-29 10:53:47	ga_s2bm_ard_3-2-1_52KGV_2023-12-29_final.stac-item
2024-01-21 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2024-01-21_final.stac-item
2024-03-01 11:03:11	ga_s2bm_ard_3-2-1_52KGB_2024-03-01_final.stac-item
2024-03-07 11:23:44	ga_s2bm_ard_3-2-1_52KBV_2024-03-07_final.stac-item
2024-03-08 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2024-03-08_final.stac-item
2024-03-13 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2024-03-13_final.stac-item
2024-06-03 10:45:16	ga_s2bm_ard_3-2-1_53JKJ_2024-06-03_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

Other products

All years