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
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_54HYB_2017-08-24_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JQG_2017-09-05_final
2017-09-12 10:22:58	ga_s2bm_ard_3-2-1_53HPA_2017-09-12_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JUF_2017-09-30_final
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_51KZQ_2017-10-27_final
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_52JDS_2017-10-27_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JLN_2017-12-28_final
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JNM_2018-02-02_final
2018-02-11 10:57:09	ga_s2bm_ard_3-2-1_52KFF_2018-02-11_final
2018-02-11 10:57:09	ga_s2bm_ard_3-2-1_52LHL_2018-02-11_final
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53JQM_2018-02-22_final
2018-02-23 09:56:59	ga_s2bm_ard_3-2-1_54HWC_2018-02-23_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HQK_2018-03-15_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JWL_2018-06-07_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2018-06-30_final
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_52JEM_2018-07-08_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPK_2018-07-30_final
2018-11-18 11:01:53	ga_s2bm_ard_3-2-1_53KKB_2018-11-18_final
2019-02-04 10:25:06	ga_s2bm_ard_3-2-1_53JQJ_2019-02-04_final
2019-02-14 10:24:12	ga_s2bm_ard_3-2-1_54JVS_2019-02-14_final
2019-03-23 10:17:15	ga_s2bm_ard_3-2-1_54HUE_2019-03-23_final.stac-item
2019-03-27 09:57:09	ga_s2bm_ard_3-2-1_54HYE_2019-03-27_final
2019-05-26 11:36:32	ga_s2bm_ard_3-2-1_51HVE_2019-05-26_final
2019-05-29 11:47:02	ga_s2bm_ard_3-2-1_50HQH_2019-05-29_final
2019-07-12 11:24:52	ga_s2bm_ard_3-2-1_52JBR_2019-07-12_final
2019-07-25 09:57:16	ga_s2bm_ard_3-2-1_54HYE_2019-07-25_final
2019-07-29 11:14:25	ga_s2bm_ard_3-2-1_52JDT_2019-07-29_final
2019-10-29 10:14:00	ga_s2bm_ard_3-2-1_54JWT_2019-10-29_final
2019-12-06 11:14:54	ga_s2bm_ard_3-2-1_52JDQ_2019-12-06_final
2019-12-10 10:50:50	ga_s2bm_ard_3-2-1_53LMF_2019-12-10_final
2019-12-24 10:33:12	ga_s2bm_ard_3-2-1_53KRR_2019-12-24_final
2020-01-12 11:02:46	ga_s2bm_ard_3-2-1_52KED_2020-01-12_final
2020-01-28 11:23:20	ga_s2bm_ard_3-2-1_51KXS_2020-01-28_final
2020-02-14 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2020-02-14_final
2020-03-03 10:33:10	ga_s2bm_ard_3-2-1_53KPS_2020-03-03_final
2020-03-31 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-03-31_final.stac-item
2020-04-30 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2020-04-30_final
2020-05-26 10:15:09	ga_s2bm_ard_3-2-1_54JUP_2020-05-26_final
2020-05-28 10:52:32	ga_s2bm_ard_3-2-1_52KHE_2020-05-28_final
2020-09-02 10:44:27	ga_s2bm_ard_3-2-1_53JMM_2020-09-02_final
2020-09-06 10:23:53	ga_s2bm_ard_3-2-1_54KTU_2020-09-06_final
2020-09-06 10:24:04	ga_s2bm_ard_3-2-1_54JUT_2020-09-06_final
2020-09-16 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-09-16_final
2020-10-06 10:26:01	ga_s2bm_ard_3-2-1_54HUK_2020-10-06_final
2020-12-14 10:51:10	ga_s2bm_ard_3-2-1_53LLE_2020-12-14_final
2020-12-17 11:06:32	ga_s2bm_ard_3-2-1_51HYD_2020-12-17_final
2020-12-18 12:13:35	ga_s2bm_ard_3-2-1_50KKB_2020-12-18_final
2020-12-25 10:26:47	ga_s2bm_ard_3-2-1_53HPB_2020-12-25_final
2021-01-06 11:00:35	ga_s2bm_ard_3-2-1_53LMG_2021-01-06_final
2021-02-08 11:12:53	ga_s2bm_ard_3-2-1_52KFC_2021-02-08_final
2021-02-09 10:41:54	ga_s2bm_ard_3-2-1_53KNB_2021-02-09_final
2021-02-12 10:52:50	ga_s2bm_ard_3-2-1_53KKU_2021-02-12_final
2021-03-06 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2021-03-06_final
2021-04-04 10:26:13	ga_s2bm_ard_3-2-1_54HTJ_2021-04-04_final
2021-05-08 10:07:27	ga_s2bm_ard_3-2-1_54HVD_2021-05-08_final
2021-05-17 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2021-05-17_final
2021-06-06 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2021-06-06_final
2021-06-17 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2021-06-17_final
2021-06-25 11:06:24	ga_s2bm_ard_3-2-1_52HBK_2021-06-25_final
2021-08-10 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-08-10_final
2021-08-20 09:48:08	ga_s2bm_ard_3-2-1_54GYA_2021-08-20_final
2021-10-05 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2021-10-05_final
2021-10-10 10:52:45	ga_s2bm_ard_3-2-1_53KKU_2021-10-10_final
2021-11-17 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2021-11-17_final
2021-11-30 10:23:13	ga_s2bm_ard_3-2-1_54KUA_2021-11-30_final
2022-02-25 10:14:06	ga_s2bm_ard_3-2-1_54JXS_2022-02-25_final
2022-03-30 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2022-03-30_final
2022-04-02 10:33:34	ga_s2bm_ard_3-2-1_53KPQ_2022-04-02_final
2022-04-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2022-04-02_final
2022-06-02 10:05:26	ga_s2bm_ard_3-2-1_54JXM_2022-06-02_final
2022-06-23 11:10:37	ga_s2bm_ard_3-2-1_52LFN_2022-06-23_final.stac-item
2022-07-07 10:50:54	ga_s2bm_ard_3-2-1_53LPF_2022-07-07_final
2022-08-09 11:05:26	ga_s2bm_ard_3-2-1_52JCP_2022-08-09_final
2022-10-02 10:41:48	ga_s2bm_ard_3-2-1_53KQB_2022-10-02_final.stac-item
2022-11-14 10:54:55	ga_s2bm_ard_3-2-1_53JKK_2022-11-14_final.stac-item
2022-11-14 10:55:53	ga_s2bm_ard_3-2-1_53JKF_2022-11-14_final.stac-item
2022-12-21 10:43:54	ga_s2bm_ard_3-2-1_53JPN_2022-12-21_final.stac-item
2022-12-30 11:13:43	ga_s2bm_ard_3-2-1_52KEV_2022-12-30_final.stac-item
2023-01-20 10:41:28	ga_s2bm_ard_3-2-1_53LRC_2023-01-20_nrt.stac-item
2023-03-24 10:56:06	ga_s2bm_ard_3-2-1_52JEL_2023-03-24_final.stac-item
2023-04-14 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2023-04-14_final.stac-item
2023-05-21 11:57:19	ga_s2bm_ard_3-2-1_49HGC_2023-05-21_nrt.stac-item
2023-06-07 10:07:27	ga_s2bm_ard_3-2-1_54HXD_2023-06-07_final.stac-item
2023-06-21 09:48:13	ga_s2bm_ard_3-2-1_54GYA_2023-06-21_final.stac-item
2023-07-23 10:25:02	ga_s2bm_ard_3-2-1_54JVP_2023-07-23_final.stac-item
2023-07-30 10:14:44	ga_s2bm_ard_3-2-1_54JVQ_2023-07-30_final.stac-item
2023-09-09 11:24:42	ga_s2bm_ard_3-2-1_52JBS_2023-09-09_final.stac-item
2023-09-27 10:41:46	ga_s2bm_ard_3-2-1_54KTG_2023-09-27_final.stac-item
2023-10-03 11:01:51	ga_s2bm_ard_3-2-1_52LFH_2023-10-03_final.stac-item
2023-10-12 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2023-10-12_final.stac-item
2023-10-15 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2023-10-15_final.stac-item
2023-10-21 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2023-10-21_final.stac-item
2024-01-04 12:50:59	ga_s2bm_ard_3-2-1_48LWP_2024-01-04_final.stac-item
2024-01-21 11:02:51	ga_s2bm_ard_3-2-1_52KED_2024-01-21_final.stac-item
2024-02-20 11:06:38	ga_s2bm_ard_3-2-1_51HYD_2024-02-20_final.stac-item
2024-02-26 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2024-02-26_final.stac-item
2024-03-10 11:35:22	ga_s2bm_ard_3-2-1_51JVJ_2024-03-10_final.stac-item
2024-03-31 11:02:03	ga_s2bm_ard_3-2-1_53KLA_2024-03-31_final.stac-item
2024-04-11 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2024-04-11_nrt.stac-item
2024-05-01 10:35:01	ga_s2bm_ard_3-2-1_53JQJ_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