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
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52JDT_2017-09-27_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JFQ_2017-11-13_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JNR_2017-12-05_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWL_2017-12-29_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52LFJ_2018-01-25_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JDM_2018-02-01_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKM_2018-02-16_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51HUE_2018-02-20_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LFK_2018-02-24_final
2018-03-03 10:57:06	ga_s2bm_ard_3-2-1_52KHC_2018-03-03_final
2018-03-23 10:57:10	ga_s2bm_ard_3-2-1_52KEA_2018-03-23_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_52KCE_2018-03-29_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KUT_2018-06-30_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JPM_2018-07-13_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KUQ_2018-07-20_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JMM_2018-07-26_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KEB_2018-08-03_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HND_2018-08-31_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUS_2018-10-11_final
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52KGF_2018-10-19_final
2018-12-20 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2018-12-20_final
2018-12-21 11:12:01	ga_s2bm_ard_3-2-1_52KDG_2018-12-21_final
2019-02-19 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2019-02-19_final
2019-03-26 12:03:34	ga_s2bm_ard_3-2-1_50KNB_2019-03-26_final
2019-03-31 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2019-03-31_final.stac-item
2019-05-30 11:14:32	ga_s2bm_ard_3-2-1_51JZN_2019-05-30_final
2019-08-27 11:44:35	ga_s2bm_ard_3-2-1_50JRT_2019-08-27_final
2019-09-24 11:04:06	ga_s2bm_ard_3-2-1_52KDU_2019-09-24_final
2019-12-26 11:10:20	ga_s2bm_ard_3-2-1_52LHN_2019-12-26_final
2020-01-11 11:35:25	ga_s2bm_ard_3-2-1_51JUJ_2020-01-11_final
2020-01-18 11:25:28	ga_s2bm_ard_3-2-1_51JYH_2020-01-18_final
2020-03-02 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2020-03-02_final
2020-05-20 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2020-05-20_final
2020-05-23 11:40:58	ga_s2bm_ard_3-2-1_51LWG_2020-05-23_final.stac-item
2020-08-01 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-08-01_final
2020-08-18 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2020-08-18_final
2020-10-23 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-10-23_final
2020-11-30 11:12:53	ga_s2bm_ard_3-2-1_52KFC_2020-11-30_final
2020-12-10 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2020-12-10_final
2021-01-15 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-01-15_final
2021-01-19 11:11:48	ga_s2bm_ard_3-2-1_52LEH_2021-01-19_final
2021-01-29 11:10:37	ga_s2bm_ard_3-2-1_52LHM_2021-01-29_final
2021-01-29 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2021-01-29_final
2021-02-05 11:02:03	ga_s2bm_ard_3-2-1_52KFG_2021-02-05_final
2021-02-12 10:54:25	ga_s2bm_ard_3-2-1_52JHS_2021-02-12_final
2021-02-16 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2021-02-16_final
2021-04-15 11:33:19	ga_s2bm_ard_3-2-1_51KXS_2021-04-15_final
2021-04-23 10:55:54	ga_s2bm_ard_3-2-1_52JFL_2021-04-23_final
2021-05-05 11:36:00	ga_s2bm_ard_3-2-1_51JTG_2021-05-05_final
2021-06-13 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2021-06-13_final
2021-06-21 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-06-21_final
2021-07-21 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2021-07-21_final
2021-08-25 10:36:45	ga_s2bm_ard_3-2-1_53HPB_2021-08-25_final
2021-10-02 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2021-10-02_final
2021-12-25 11:10:32	ga_s2bm_ard_3-2-1_52LHM_2021-12-25_final
2022-01-10 11:32:28	ga_s2bm_ard_3-2-1_51KVA_2022-01-10_final
2022-01-18 10:55:27	ga_s2bm_ard_3-2-1_52JFN_2022-01-18_final
2022-01-24 11:11:31	ga_s2bm_ard_3-2-1_52LDJ_2022-01-24_final
2022-01-31 11:03:57	ga_s2bm_ard_3-2-1_52KEU_2022-01-31_final
2022-03-18 11:22:25	ga_s2bm_ard_3-2-1_51KYA_2022-03-18_final
2022-04-27 11:25:10	ga_s2bm_ard_3-2-1_51JVK_2022-04-27_final
2022-05-04 11:15:28	ga_s2bm_ard_3-2-1_52JCN_2022-05-04_final
2022-05-14 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2022-05-14_final
2022-05-23 11:44:05	ga_s2bm_ard_3-2-1_50KQV_2022-05-23_final
2022-06-13 11:12:56	ga_s2bm_ard_3-2-1_52KFC_2022-06-13_final
2022-07-16 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2022-07-16_final
2022-07-30 11:04:52	ga_s2bm_ard_3-2-1_52JER_2022-07-30_final
2022-08-25 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2022-08-25_final
2022-09-30 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-09-30_final.stac-item
2022-11-13 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2022-11-13_final.stac-item
2022-11-14 10:54:58	ga_s2bm_ard_3-2-1_52JGQ_2022-11-14_final.stac-item
2022-11-21 10:46:24	ga_s2bm_ard_3-2-1_53HLD_2022-11-21_final.stac-item
2022-11-23 11:23:49	ga_s2bm_ard_3-2-1_52KBV_2022-11-23_final.stac-item
2022-12-14 10:54:09	ga_s2bm_ard_3-2-1_52JHT_2022-12-14_final.stac-item
2022-12-29 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-12-29_final.stac-item
2023-01-05 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2023-01-05_final.stac-item
2023-01-16 11:01:25	ga_s2bm_ard_3-2-1_52LHJ_2023-01-16_final.stac-item
2023-01-26 11:02:01	ga_s2bm_ard_3-2-1_52KGG_2023-01-26_final.stac-item
2023-01-29 11:14:29	ga_s2bm_ard_3-2-1_52JDS_2023-01-29_final.stac-item
2023-02-28 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2023-02-28_final.stac-item
2023-03-06 11:31:07	ga_s2bm_ard_3-2-1_52LBL_2023-03-06_nrt.stac-item
2023-03-25 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-03-25_final.stac-item
2023-05-24 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-05-24_final.stac-item
2023-06-14 11:31:11	ga_s2bm_ard_3-2-1_51LZF_2023-06-14_nrt.stac-item
2023-06-21 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2023-06-21_final.stac-item
2023-07-02 10:55:47	ga_s2bm_ard_3-2-1_52JGM_2023-07-02_final.stac-item
2023-07-05 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-07-05_final.stac-item
2023-09-05 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-09-05_final.stac-item
2023-09-06 11:13:52	ga_s2bm_ard_3-2-1_52KDV_2023-09-06_final.stac-item
2023-09-18 11:57:18	ga_s2bm_ard_3-2-1_49HGC_2023-09-18_nrt.stac-item
2023-09-24 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2023-09-24_final.stac-item
2023-10-21 12:05:00	ga_s2bm_ard_3-2-1_50JLS_2023-10-21_final.stac-item
2023-11-12 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2023-11-12_final.stac-item
2024-01-07 11:21:46	ga_s2bm_ard_3-2-1_52LDH_2024-01-07_final.stac-item
2024-01-10 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2024-01-10_final.stac-item
2024-01-20 11:31:05	ga_s2bm_ard_3-2-1_51LZF_2024-01-20_nrt.stac-item
2024-02-20 11:06:00	ga_s2bm_ard_3-2-1_52JEL_2024-02-20_final.stac-item
2024-03-10 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2024-03-10_final.stac-item
2024-03-11 11:01:28	ga_s2bm_ard_3-2-1_52LGJ_2024-03-11_final.stac-item
2024-03-14 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2024-03-14_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