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
2017-10-14 11:01:57	ga_s2bm_ard_3-2-1_52KEU_2017-10-14_final
2017-11-02 11:35:51	ga_s2bm_ard_3-2-1_51HUC_2017-11-02_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JXJ_2017-11-09_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JKM_2018-01-17_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXB_2018-01-31_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51JVK_2018-02-10_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51LYC_2018-02-27_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51HUC_2018-03-02_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HLH_2018-04-04_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KUP_2018-06-10_final
2018-06-11 11:03:54	ga_s2bm_ard_3-2-1_52JET_2018-06-11_final
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_52JBL_2018-09-02_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JNP_2018-10-01_final
2018-11-10 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2018-11-10_final
2018-12-27 11:31:57	ga_s2bm_ard_3-2-1_51LWC_2018-12-27_final
2019-02-05 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-02-05_final
2019-02-08 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-02-08_final
2019-03-03 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2019-03-03_final
2019-03-14 11:24:30	ga_s2bm_ard_3-2-1_52JBS_2019-03-14_final
2019-06-21 11:53:47	ga_s2bm_ard_3-2-1_50KNB_2019-06-21_final
2019-08-14 11:35:57	ga_s2bm_ard_3-2-1_50JQN_2019-08-14_final
2019-12-25 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2019-12-25_final
2020-01-05 11:14:32	ga_s2bm_ard_3-2-1_51JZM_2020-01-05_final
2020-01-08 11:22:46	ga_s2bm_ard_3-2-1_52KBD_2020-01-08_final
2020-02-20 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2020-02-20_final
2020-03-02 11:04:08	ga_s2bm_ard_3-2-1_52JGT_2020-03-02_final
2020-03-11 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2020-03-11_final
2020-03-14 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2020-03-14_final
2020-04-04 11:15:27	ga_s2bm_ard_3-2-1_51JXJ_2020-04-04_final
2020-04-07 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2020-04-07_final
2020-04-07 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2020-04-07_final
2020-04-23 11:46:39	ga_s2bm_ard_3-2-1_50HPJ_2020-04-23_final
2020-06-02 11:44:47	ga_s2bm_ard_3-2-1_51JTM_2020-06-02_final
2020-07-19 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2020-07-19_final
2020-07-19 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2020-07-19_final
2020-08-05 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2020-08-05_final
2020-08-11 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-08-11_final
2020-09-17 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2020-09-17_final
2020-09-17 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2020-09-17_final
2020-11-23 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2020-11-23_final
2020-11-23 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2020-11-23_final
2020-12-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2020-12-06_final
2020-12-07 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2020-12-07_final
2020-12-16 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2020-12-16_final
2020-12-20 11:13:50	ga_s2bm_ard_3-2-1_51KZQ_2020-12-20_final
2021-01-12 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2021-01-12_final
2021-01-24 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-01-24_final
2021-02-08 11:15:50	ga_s2bm_ard_3-2-1_52JBM_2021-02-08_final
2021-02-10 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-02-10_final
2021-03-12 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2021-03-12_final
2021-03-13 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2021-03-13_final
2021-03-16 11:32:39	ga_s2bm_ard_3-2-1_51KXV_2021-03-16_final
2021-03-17 11:03:16	ga_s2bm_ard_3-2-1_52KFB_2021-03-17_final
2021-03-18 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2021-03-18_final
2021-04-08 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2021-04-08_final
2021-05-04 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2021-05-04_final
2021-05-05 11:35:53	ga_s2bm_ard_3-2-1_51JVG_2021-05-05_final
2021-05-15 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-05-15_final
2021-06-11 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-06-11_final
2021-06-20 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2021-06-20_final
2021-06-21 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-06-21_final
2021-08-24 11:05:57	ga_s2bm_ard_3-2-1_52JBM_2021-08-24_final
2021-10-12 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2021-10-12_final
2021-11-01 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-11-01_final
2021-12-21 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2021-12-21_final
2022-01-21 11:03:45	ga_s2bm_ard_3-2-1_52KDV_2022-01-21_final
2022-04-03 11:43:06	ga_s2bm_ard_3-2-1_51KUT_2022-04-03_final
2022-04-30 11:33:02	ga_s2bm_ard_3-2-1_51KXT_2022-04-30_final
2022-04-30 11:34:22	ga_s2bm_ard_3-2-1_51JVN_2022-04-30_final
2022-05-23 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2022-05-23_final
2022-07-29 11:34:41	ga_s2bm_ard_3-2-1_51JTN_2022-07-29_final
2022-08-01 11:44:24	ga_s2bm_ard_3-2-1_50KQU_2022-08-01_final
2022-08-31 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2022-08-31_final
2022-09-01 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2022-09-01_final.stac-item
2022-09-13 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2022-09-13_final.stac-item
2022-09-16 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2022-09-16_final.stac-item
2022-10-11 11:14:33	ga_s2bm_ard_3-2-1_52JCS_2022-10-11_final.stac-item
2022-11-13 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-11-13_final.stac-item
2022-11-16 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2022-11-16_final.stac-item
2022-11-19 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-11-19_final.stac-item
2022-12-23 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2022-12-23_final.stac-item
2022-12-30 11:12:27	ga_s2bm_ard_3-2-1_52KFE_2022-12-30_final.stac-item
2023-01-02 11:22:06	ga_s2bm_ard_3-2-1_52KBG_2023-01-02_final.stac-item
2023-02-10 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2023-02-10_final.stac-item
2023-02-28 11:12:18	ga_s2bm_ard_3-2-1_52KEF_2023-02-28_final.stac-item
2023-03-23 11:25:41	ga_s2bm_ard_3-2-1_51JXH_2023-03-23_final.stac-item
2023-04-19 11:16:04	ga_s2bm_ard_3-2-1_52JCL_2023-04-19_final.stac-item
2023-05-02 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2023-05-02_final.stac-item
2023-06-15 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-06-15_final.stac-item
2023-07-01 11:23:41	ga_s2bm_ard_3-2-1_51KZR_2023-07-01_final.stac-item
2023-11-01 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2023-11-01_final.stac-item
2024-01-03 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2024-01-03_final.stac-item
2024-01-23 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2024-01-23_final.stac-item
2024-02-16 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2024-02-16_final.stac-item
2024-03-04 11:13:04	ga_s2bm_ard_3-2-1_52KCC_2024-03-04_final.stac-item
2024-03-04 11:14:13	ga_s2bm_ard_3-2-1_52JDT_2024-03-04_final.stac-item
2024-03-06 11:53:45	ga_s2bm_ard_3-2-1_50KPA_2024-03-06_final.stac-item
2024-03-13 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2024-03-13_final.stac-item
2024-03-24 11:12:47	ga_s2bm_ard_3-2-1_52KED_2024-03-24_final.stac-item
2024-04-14 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2024-04-14_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