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
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50HQJ_2017-09-03_final
2017-10-12 10:26:23	ga_s2bm_ard_3-2-1_53HNB_2017-10-12_final
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JQM_2017-11-04_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51KYT_2017-11-09_final
2017-12-17 10:37:15	ga_s2bm_ard_3-2-1_53JNM_2017-12-17_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_52KBF_2017-12-29_final
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53LLE_2018-01-29_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50JQN_2018-01-31_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JWK_2018-01-31_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JGR_2018-02-01_final
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_53KKU_2018-02-08_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_52JBS_2018-02-27_final
2018-02-28 10:47:16	ga_s2bm_ard_3-2-1_53LMF_2018-02-28_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQH_2018-03-02_final
2018-03-20 10:47:18	ga_s2bm_ard_3-2-1_53LPF_2018-03-20_final
2018-06-05 10:45:09	ga_s2bm_ard_3-2-1_52JGL_2018-06-05_final
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_53JKF_2018-07-08_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JMM_2018-07-16_final
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53JRM_2018-09-20_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JHN_2018-10-17_final
2018-12-25 10:55:41	ga_s2bm_ard_3-2-1_53JKG_2018-12-25_final
2019-01-02 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2019-01-02_final
2019-01-14 10:55:53	ga_s2bm_ard_3-2-1_53JKF_2019-01-14_final
2019-02-26 11:01:12	ga_s2bm_ard_3-2-1_52LHK_2019-02-26_final
2019-03-01 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2019-03-01_final
2019-03-06 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2019-03-06_final
2019-04-18 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2019-04-18_final
2019-04-29 11:42:35	ga_s2bm_ard_3-2-1_51KVA_2019-04-29_final
2019-06-04 10:26:40	ga_s2bm_ard_3-2-1_53HQC_2019-06-04_final
2019-06-21 11:53:54	ga_s2bm_ard_3-2-1_50KQA_2019-06-21_final
2019-06-21 11:55:00	ga_s2bm_ard_3-2-1_50JPS_2019-06-21_final
2019-11-05 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2019-11-05_final
2020-01-13 10:35:09	ga_s2bm_ard_3-2-1_53JQH_2020-01-13_final
2020-02-01 11:01:36	ga_s2bm_ard_3-2-1_52LHH_2020-02-01_final
2020-03-03 10:33:32	ga_s2bm_ard_3-2-1_53KQQ_2020-03-03_final
2020-03-15 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2020-03-15_final
2020-04-10 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2020-04-10_final
2020-04-13 11:46:22	ga_s2bm_ard_3-2-1_50JML_2020-04-13_final
2020-04-27 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2020-04-27_final
2020-05-10 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2020-05-10_final
2020-10-11 11:15:28	ga_s2bm_ard_3-2-1_51JYJ_2020-10-11_final
2020-11-04 10:54:28	ga_s2bm_ard_3-2-1_52JHS_2020-11-04_final
2020-11-06 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2020-11-06_final
2020-11-07 11:05:24	ga_s2bm_ard_3-2-1_52JCP_2020-11-07_final
2020-12-21 10:43:37	ga_s2bm_ard_3-2-1_53KMQ_2020-12-21_final
2021-01-18 11:45:17	ga_s2bm_ard_3-2-1_50JQQ_2021-01-18_final
2021-02-07 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-02-07_final
2021-02-18 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2021-02-18_final
2021-04-17 10:36:24	ga_s2bm_ard_3-2-1_53HLD_2021-04-17_final
2021-04-19 11:13:43	ga_s2bm_ard_3-2-1_52KDV_2021-04-19_final
2021-05-12 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2021-05-12_final
2021-05-14 10:26:53	ga_s2bm_ard_3-2-1_53HNB_2021-05-14_final
2021-05-19 11:16:44	ga_s2bm_ard_3-2-1_51HWD_2021-05-19_final
2021-06-11 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2021-06-11_final
2021-06-20 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-06-20_final
2021-06-21 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-06-21_final
2021-07-22 10:55:56	ga_s2bm_ard_3-2-1_53JKF_2021-07-22_final
2021-07-30 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2021-07-30_final
2021-09-01 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2021-09-01_final
2021-09-25 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2021-09-25_final
2021-10-30 10:54:17	ga_s2bm_ard_3-2-1_52JGT_2021-10-30_final
2021-11-25 11:11:36	ga_s2bm_ard_3-2-1_52LGH_2021-11-25_final
2022-02-08 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2022-02-08_final
2022-03-23 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2022-03-23_final
2022-04-14 11:10:34	ga_s2bm_ard_3-2-1_52LHM_2022-04-14_final
2022-05-17 11:24:31	ga_s2bm_ard_3-2-1_51JZM_2022-05-17_final
2022-05-23 11:44:45	ga_s2bm_ard_3-2-1_51JTM_2022-05-23_final
2022-05-30 11:34:49	ga_s2bm_ard_3-2-1_51JTM_2022-05-30_final
2022-06-08 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2022-06-08_final
2022-06-30 11:05:07	ga_s2bm_ard_3-2-1_52JEQ_2022-06-30_final
2022-07-22 11:44:54	ga_s2bm_ard_3-2-1_50JQS_2022-07-22_final
2022-07-29 11:33:00	ga_s2bm_ard_3-2-1_51KXU_2022-07-29_final
2022-09-03 11:53:48	ga_s2bm_ard_3-2-1_50KQA_2022-09-03_final.stac-item
2022-09-13 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2022-09-13_final.stac-item
2022-09-20 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-09-20_final.stac-item
2022-12-16 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2022-12-16_final.stac-item
2023-01-16 11:00:45	ga_s2bm_ard_3-2-1_53LMF_2023-01-16_final.stac-item
2023-01-19 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2023-01-19_final.stac-item
2023-01-25 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2023-01-25_final.stac-item
2023-02-12 10:55:12	ga_s2bm_ard_3-2-1_52JGP_2023-02-12_final.stac-item
2023-02-21 11:22:00	ga_s2bm_ard_3-2-1_52KDG_2023-02-21_final.stac-item
2023-03-26 11:36:13	ga_s2bm_ard_3-2-1_51JVF_2023-03-26_final.stac-item
2023-05-29 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2023-05-29_final.stac-item
2023-06-28 11:12:51	ga_s2bm_ard_3-2-1_52KED_2023-06-28_final.stac-item
2023-07-11 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-07-11_final.stac-item
2023-08-09 11:55:52	ga_s2bm_ard_3-2-1_50JKP_2023-08-09_final.stac-item
2023-10-13 11:02:54	ga_s2bm_ard_3-2-1_52KED_2023-10-13_final.stac-item
2023-10-16 11:15:50	ga_s2bm_ard_3-2-1_52JCM_2023-10-16_final.stac-item
2023-11-16 10:42:06	ga_s2bm_ard_3-2-1_53KPA_2023-11-16_final.stac-item
2023-11-29 10:53:10	ga_s2bm_ard_3-2-1_53KKS_2023-11-29_final.stac-item
2023-11-30 10:26:51	ga_s2bm_ard_3-2-1_53HNB_2023-11-30_final.stac-item
2023-12-25 11:10:34	ga_s2bm_ard_3-2-1_52LFN_2023-12-25_final.stac-item
2024-01-11 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2024-01-11_final.stac-item
2024-02-10 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2024-02-10_final.stac-item
2024-02-25 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2024-02-25_final.stac-item
2024-02-27 10:51:43	ga_s2bm_ard_3-2-1_53LLC_2024-02-27_final.stac-item
2024-03-01 11:01:12	ga_s2bm_ard_3-2-1_52LHK_2024-03-01_final.stac-item
2024-03-21 11:01:41	ga_s2bm_ard_3-2-1_53LKC_2024-03-21_final.stac-item
2024-04-21 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2024-04-21_nrt.stac-item
2024-05-01 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2024-05-01_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