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
2017-07-09 11:12:15	ga_s2bm_ard_3-2-1_52KED_2017-07-09_final
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51KVA_2017-08-14_final
2017-10-02 10:22:51	ga_s2bm_ard_3-2-1_53JQL_2017-10-02_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JKP_2017-11-18_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50JNL_2017-12-18_final
2017-12-24 10:26:56	ga_s2bm_ard_3-2-1_53JQN_2017-12-24_final
2018-01-20 10:16:58	ga_s2bm_ard_3-2-1_53HPA_2018-01-20_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JEN_2018-02-01_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KWR_2018-02-10_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKN_2018-04-20_final
2018-05-16 10:45:10	ga_s2bm_ard_3-2-1_53JKF_2018-05-16_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JLG_2018-05-26_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHQ_2018-05-30_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KZR_2018-08-06_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51JVM_2018-08-09_final
2018-08-11 10:36:08	ga_s2bm_ard_3-2-1_53HNB_2018-08-11_final
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KEA_2018-08-13_final
2018-08-28 10:21:53	ga_s2bm_ard_3-2-1_53JQL_2018-08-28_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KXU_2018-09-18_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51KXT_2018-10-05_final
2018-10-28 09:53:42	ga_s2bm_ard_3-2-1_54GYA_2018-10-28_final
2018-11-02 10:43:08	ga_s2bm_ard_3-2-1_53JNL_2018-11-02_final
2018-12-13 11:56:04	ga_s2bm_ard_3-2-1_50JLM_2018-12-13_final
2018-12-20 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2018-12-20_final
2019-01-06 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2019-01-06_final
2019-02-04 10:26:18	ga_s2bm_ard_3-2-1_53HQD_2019-02-04_final
2019-02-07 10:33:35	ga_s2bm_ard_3-2-1_53KQQ_2019-02-07_final
2019-02-11 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2019-02-11_final
2019-03-24 09:48:09	ga_s2bm_ard_3-2-1_54GYA_2019-03-24_final
2019-04-25 10:24:47	ga_s2bm_ard_3-2-1_53JQL_2019-04-25_final
2019-08-06 10:36:24	ga_s2bm_ard_3-2-1_53HLE_2019-08-06_final
2019-10-16 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2019-10-16_final
2019-10-27 11:12:55	ga_s2bm_ard_3-2-1_52KFC_2019-10-27_final
2019-10-30 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2019-10-30_final
2020-02-22 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-02-22_final
2020-03-27 10:16:50	ga_s2bm_ard_3-2-1_53HQB_2020-03-27_final
2020-05-30 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2020-05-30_final
2020-06-14 10:45:54	ga_s2bm_ard_3-2-1_53JMF_2020-06-14_final
2020-06-26 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2020-06-26_final
2020-07-11 10:33:40	ga_s2bm_ard_3-2-1_53KPQ_2020-07-11_final
2020-10-13 11:55:57	ga_s2bm_ard_3-2-1_50JMN_2020-10-13_final
2020-11-18 10:34:35	ga_s2bm_ard_3-2-1_53JPL_2020-11-18_final
2020-11-19 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2020-11-19_final
2020-12-10 11:11:24	ga_s2bm_ard_3-2-1_52LEJ_2020-12-10_final
2020-12-16 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2020-12-16_final
2020-12-29 10:07:09	ga_s2bm_ard_3-2-1_54HWE_2020-12-29_final
2020-12-31 10:46:04	ga_s2bm_ard_3-2-1_53HME_2020-12-31_final
2021-01-15 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2021-01-15_final
2021-02-17 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2021-02-17_final
2021-03-10 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2021-03-10_final
2021-04-10 10:44:07	ga_s2bm_ard_3-2-1_53JMN_2021-04-10_final
2021-05-07 10:36:48	ga_s2bm_ard_3-2-1_53HNB_2021-05-07_final
2021-05-24 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-05-24_final
2021-06-13 10:24:58	ga_s2bm_ard_3-2-1_53JQJ_2021-06-13_final
2021-06-28 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2021-06-28_final
2021-07-13 10:26:32	ga_s2bm_ard_3-2-1_54HTH_2021-07-13_final
2021-07-27 10:07:13	ga_s2bm_ard_3-2-1_54HWE_2021-07-27_final
2021-08-16 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2021-08-16_final
2021-09-01 10:26:58	ga_s2bm_ard_3-2-1_53HQA_2021-09-01_final
2021-09-05 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2021-09-05_final
2021-09-10 10:55:38	ga_s2bm_ard_3-2-1_52JGM_2021-09-10_final
2021-09-25 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2021-09-25_final
2021-11-08 11:21:53	ga_s2bm_ard_3-2-1_52LBH_2021-11-08_final
2021-11-25 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2021-11-25_final
2022-03-11 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2022-03-11_final
2022-03-28 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2022-03-28_final
2022-03-29 10:55:36	ga_s2bm_ard_3-2-1_53JKG_2022-03-29_final
2022-04-01 11:03:50	ga_s2bm_ard_3-2-1_52KDV_2022-04-01_final
2022-07-03 11:13:13	ga_s2bm_ard_3-2-1_52KCC_2022-07-03_final
2022-09-21 11:13:27	ga_s2bm_ard_3-2-1_52KBB_2022-09-21_final.stac-item
2022-10-16 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2022-10-16_final.stac-item
2022-11-15 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2022-11-15_final.stac-item
2023-01-03 10:54:48	ga_s2bm_ard_3-2-1_53JLK_2023-01-03_final.stac-item
2023-01-09 11:10:54	ga_s2bm_ard_3-2-1_52LGL_2023-01-09_final.stac-item
2023-02-12 10:51:59	ga_s2bm_ard_3-2-1_53KLB_2023-02-12_final.stac-item
2023-03-01 10:45:44	ga_s2bm_ard_3-2-1_53JKG_2023-03-01_final.stac-item
2023-03-19 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2023-03-19_final.stac-item
2023-03-21 10:46:09	ga_s2bm_ard_3-2-1_53HME_2023-03-21_final.stac-item
2023-04-04 10:24:43	ga_s2bm_ard_3-2-1_53JQL_2023-04-04_final.stac-item
2023-04-19 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2023-04-19_final.stac-item
2023-05-15 11:34:14	ga_s2bm_ard_3-2-1_51KWP_2023-05-15_final.stac-item
2023-06-22 10:55:53	ga_s2bm_ard_3-2-1_52JEM_2023-06-22_final.stac-item
2023-07-04 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-07-04_final.stac-item
2023-08-07 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2023-08-07_final.stac-item
2023-08-07 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2023-08-07_final.stac-item
2023-09-04 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-09-04_final.stac-item
2023-09-10 10:50:42	ga_s2bm_ard_3-2-1_53LNG_2023-09-10_final.stac-item
2023-09-12 11:35:54	ga_s2bm_ard_3-2-1_50JQN_2023-09-12_final.stac-item
2023-09-13 11:04:18	ga_s2bm_ard_3-2-1_52JFT_2023-09-13_final.stac-item
2023-10-22 11:31:06	ga_s2bm_ard_3-2-1_52LBL_2023-10-22_nrt.stac-item
2023-10-31 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2023-10-31_final.stac-item
2023-11-15 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2023-11-15_final.stac-item
2023-12-27 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-12-27_final.stac-item
2023-12-31 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2023-12-31_final.stac-item
2024-01-09 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-09_final.stac-item
2024-03-02 10:33:21	ga_s2bm_ard_3-2-1_53KPR_2024-03-02_final.stac-item
2024-03-26 10:17:05	ga_s2bm_ard_3-2-1_53HQA_2024-03-26_final.stac-item
2024-04-01 10:35:00	ga_s2bm_ard_3-2-1_53JQJ_2024-04-01_final.stac-item
2024-04-07 10:50:33	ga_s2bm_ard_3-2-1_53LPG_2024-04-07_final.stac-item
2024-04-08 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-04-08_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