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
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JWF_2018-02-07_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQG_2018-03-22_final.stac-item
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_54JTR_2018-03-24_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51HXE_2018-03-26_final
2018-06-10 09:50:52	ga_s2bm_ard_3-2-1_54HYJ_2018-06-10_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JNM_2018-09-03_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51KXT_2018-09-05_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53JPM_2018-10-03_final
2018-10-03 10:46:09	ga_s2bm_ard_3-2-1_53HMD_2018-10-03_final
2018-12-12 10:41:31	ga_s2bm_ard_3-2-1_53LPC_2018-12-12_final
2019-03-06 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2019-03-06_final
2019-04-29 11:46:37	ga_s2bm_ard_3-2-1_50HQK_2019-04-29_final
2019-05-13 11:23:15	ga_s2bm_ard_3-2-1_51KZT_2019-05-13_final
2019-06-03 10:55:57	ga_s2bm_ard_3-2-1_52JEM_2019-06-03_final
2019-07-18 11:43:38	ga_s2bm_ard_3-2-1_51KUS_2019-07-18_final
2019-08-04 11:33:09	ga_s2bm_ard_3-2-1_51KVU_2019-08-04_final
2019-08-24 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2019-08-24_final
2019-08-31 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2019-08-31_final
2019-09-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-09-13_final
2019-09-20 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2019-09-20_final
2019-11-04 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2019-11-04_final
2019-12-02 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2019-12-02_final
2019-12-06 11:13:13	ga_s2bm_ard_3-2-1_52KDB_2019-12-06_final
2020-01-31 11:32:51	ga_s2bm_ard_3-2-1_51KWU_2020-01-31_final
2020-02-17 09:48:04	ga_s2bm_ard_3-2-1_54GYA_2020-02-17_final
2020-03-01 11:32:43	ga_s2bm_ard_3-2-1_51KXV_2020-03-01_final
2020-03-10 10:24:31	ga_s2bm_ard_3-2-1_54JTR_2020-03-10_final
2020-05-10 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-05-10_final
2020-05-12 10:33:51	ga_s2bm_ard_3-2-1_53KPP_2020-05-12_final
2020-05-23 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2020-05-23_final
2020-06-21 10:34:02	ga_s2bm_ard_3-2-1_53JRN_2020-06-21_final
2020-07-06 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2020-07-06_final
2020-09-05 10:50:41	ga_s2bm_ard_3-2-1_53LNG_2020-09-05_final
2020-10-09 10:35:05	ga_s2bm_ard_3-2-1_53JQJ_2020-10-09_final
2020-11-06 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-11-06_final
2020-11-26 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2020-11-26_final
2020-12-28 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2020-12-28_final
2021-01-19 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2021-01-19_final
2021-02-12 10:52:32	ga_s2bm_ard_3-2-1_53KNU_2021-02-12_final
2021-03-19 11:42:20	ga_s2bm_ard_3-2-1_51KWA_2021-03-19_final
2021-04-12 11:23:15	ga_s2bm_ard_3-2-1_51KYS_2021-04-12_final
2021-05-12 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2021-05-12_final
2021-06-21 09:48:09	ga_s2bm_ard_3-2-1_54GYA_2021-06-21_final
2021-07-11 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2021-07-11_final
2021-07-26 10:34:59	ga_s2bm_ard_3-2-1_54JTP_2021-07-26_final
2021-07-31 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2021-07-31_final
2021-08-13 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-08-13_final
2021-09-14 10:34:00	ga_s2bm_ard_3-2-1_53JQN_2021-09-14_final
2021-11-17 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-11-17_final
2021-11-22 11:05:16	ga_s2bm_ard_3-2-1_52JDP_2021-11-22_final
2021-12-16 10:45:50	ga_s2bm_ard_3-2-1_53JKF_2021-12-16_final
2022-01-18 10:54:36	ga_s2bm_ard_3-2-1_53JKL_2022-01-18_final
2022-03-03 10:34:35	ga_s2bm_ard_3-2-1_53JPL_2022-03-03_final
2022-03-11 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2022-03-11_final
2022-07-04 10:43:53	ga_s2bm_ard_3-2-1_53KPP_2022-07-04_final
2022-07-04 10:45:19	ga_s2bm_ard_3-2-1_53JKJ_2022-07-04_final
2022-07-19 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2022-07-19_final
2022-07-22 10:07:19	ga_s2bm_ard_3-2-1_54HYD_2022-07-22_final
2022-08-08 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2022-08-08_final
2022-08-15 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2022-08-15_final
2022-09-19 10:34:01	ga_s2bm_ard_3-2-1_53JRN_2022-09-19_final.stac-item
2022-11-26 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-11-26_final.stac-item
2022-12-16 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2022-12-16_final.stac-item
2022-12-18 10:34:09	ga_s2bm_ard_3-2-1_53JPN_2022-12-18_final.stac-item
2022-12-21 10:43:10	ga_s2bm_ard_3-2-1_53KMS_2022-12-21_final.stac-item
2023-01-15 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2023-01-15_final.stac-item
2023-02-26 10:31:36	ga_s2bm_ard_3-2-1_53LRC_2023-02-26_nrt.stac-item
2023-03-04 10:51:24	ga_s2bm_ard_3-2-1_53LND_2023-03-04_final.stac-item
2023-03-05 10:26:49	ga_s2bm_ard_3-2-1_53HQB_2023-03-05_final.stac-item
2023-03-26 11:31:09	ga_s2bm_ard_3-2-1_51LZF_2023-03-26_nrt.stac-item
2023-03-27 11:05:37	ga_s2bm_ard_3-2-1_52JDN_2023-03-27_final.stac-item
2023-04-01 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2023-04-01_final.stac-item
2023-04-04 12:03:44	ga_s2bm_ard_3-2-1_50KLB_2023-04-04_final.stac-item
2023-04-20 10:41:32	ga_s2bm_ard_3-2-1_53LRC_2023-04-20_nrt.stac-item
2023-04-22 11:21:26	ga_s2bm_ard_3-2-1_52LBK_2023-04-22_final.stac-item
2023-05-11 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-05-11_final.stac-item
2023-05-18 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2023-05-18_final.stac-item
2023-06-26 10:34:37	ga_s2bm_ard_3-2-1_53JQL_2023-06-26_final.stac-item
2023-06-26 10:35:02	ga_s2bm_ard_3-2-1_54JTP_2023-06-26_final.stac-item
2023-07-02 10:51:45	ga_s2bm_ard_3-2-1_53LNC_2023-07-02_final.stac-item
2023-07-13 10:24:38	ga_s2bm_ard_3-2-1_54JTR_2023-07-13_final.stac-item
2023-07-19 10:43:54	ga_s2bm_ard_3-2-1_53KPP_2023-07-19_final.stac-item
2023-07-24 11:33:01	ga_s2bm_ard_3-2-1_51KXU_2023-07-24_final.stac-item
2023-09-27 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2023-09-27_final.stac-item
2023-10-03 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2023-10-03_final.stac-item
2023-10-24 10:33:47	ga_s2bm_ard_3-2-1_53KRP_2023-10-24_final.stac-item
2023-10-26 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2023-10-26_final.stac-item
2023-11-10 10:24:41	ga_s2bm_ard_3-2-1_53JQL_2023-11-10_final.stac-item
2023-11-27 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2023-11-27_final.stac-item
2023-12-01 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2023-12-01_final.stac-item
2023-12-03 10:33:43	ga_s2bm_ard_3-2-1_53KRP_2023-12-03_final.stac-item
2023-12-07 10:17:00	ga_s2bm_ard_3-2-1_54HWE_2023-12-07_final.stac-item
2023-12-13 10:36:19	ga_s2bm_ard_3-2-1_53HND_2023-12-13_final.stac-item
2024-01-02 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2024-01-02_final.stac-item
2024-01-20 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2024-01-20_final.stac-item
2024-01-22 10:34:23	ga_s2bm_ard_3-2-1_53JPM_2024-01-22_final.stac-item
2024-03-01 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2024-03-01_final.stac-item
2024-03-13 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2024-03-13_final.stac-item
2024-03-14 11:15:40	ga_s2bm_ard_3-2-1_51JXH_2024-03-14_final.stac-item
2024-03-30 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2024-03-30_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