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
2017-07-09 11:12:47	ga_s2bm_ard_3-2-1_52KBC_2017-07-09_final
2017-08-16 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2017-08-16_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51HWD_2017-11-06_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53JMM_2017-11-27_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KBU_2017-12-26_final
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53KMU_2018-01-29_final
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53LMG_2018-01-29_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JFM_2018-02-02_final
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_52JGM_2018-02-25_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JKM_2018-03-18_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JKH_2018-05-26_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JMJ_2018-05-26_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KXT_2018-06-20_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52JDT_2018-07-24_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HPK_2018-09-01_final
2018-10-26 10:50:30	ga_s2bm_ard_3-2-1_52JFQ_2018-10-26_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KYT_2018-11-04_final
2018-12-19 10:35:51	ga_s2bm_ard_3-2-1_53JMF_2018-12-19_final
2019-03-12 10:44:00	ga_s2bm_ard_3-2-1_53JPN_2019-03-12_final
2019-04-12 11:55:39	ga_s2bm_ard_3-2-1_50JNP_2019-04-12_final
2019-06-08 11:45:58	ga_s2bm_ard_3-2-1_50JPN_2019-06-08_final
2019-07-12 11:24:13	ga_s2bm_ard_3-2-1_52KBU_2019-07-12_final
2019-08-19 10:46:12	ga_s2bm_ard_3-2-1_53HME_2019-08-19_final
2019-09-20 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2019-09-20_final
2019-10-13 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-10-13_final
2019-11-02 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2019-11-02_final
2019-12-03 11:03:17	ga_s2bm_ard_3-2-1_52KHA_2019-12-03_final
2019-12-29 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2019-12-29_final
2020-02-04 11:11:52	ga_s2bm_ard_3-2-1_52KFG_2020-02-04_final
2020-05-27 11:23:17	ga_s2bm_ard_3-2-1_52KCB_2020-05-27_final
2020-05-31 11:06:19	ga_s2bm_ard_3-2-1_52HDK_2020-05-31_final.stac-item
2020-07-09 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2020-07-09_final
2020-07-11 10:36:37	ga_s2bm_ard_3-2-1_53HNC_2020-07-11_final
2020-08-09 11:06:24	ga_s2bm_ard_3-2-1_52HCK_2020-08-09_final.stac-item
2020-10-25 10:52:48	ga_s2bm_ard_3-2-1_53KNT_2020-10-25_final
2020-12-10 11:11:24	ga_s2bm_ard_3-2-1_52LEJ_2020-12-10_final
2020-12-11 10:44:36	ga_s2bm_ard_3-2-1_53JML_2020-12-11_final
2020-12-13 11:22:09	ga_s2bm_ard_3-2-1_51KYB_2020-12-13_final
2020-12-17 11:00:26	ga_s2bm_ard_3-2-1_52LHN_2020-12-17_final
2021-02-19 10:45:20	ga_s2bm_ard_3-2-1_53JMH_2021-02-19_final
2021-03-24 10:52:44	ga_s2bm_ard_3-2-1_52KHD_2021-03-24_final
2021-04-12 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2021-04-12_final
2021-05-29 11:13:26	ga_s2bm_ard_3-2-1_52KBB_2021-05-29_final
2021-06-01 11:26:26	ga_s2bm_ard_3-2-1_51HWE_2021-06-01_final
2021-06-14 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2021-06-14_final
2021-06-24 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2021-06-24_final
2021-08-10 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2021-08-10_final
2021-08-10 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2021-08-10_final
2021-09-19 11:23:17	ga_s2bm_ard_3-2-1_52KBB_2021-09-19_final
2021-09-29 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2021-09-29_final
2021-11-04 11:44:41	ga_s2bm_ard_3-2-1_51JUM_2021-11-04_final
2021-11-18 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2021-11-18_final
2021-12-09 10:55:19	ga_s2bm_ard_3-2-1_53JKH_2021-12-09_final
2021-12-31 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-12-31_final
2022-01-06 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2022-01-06_final
2022-01-13 11:41:55	ga_s2bm_ard_3-2-1_51LVC_2022-01-13_final
2022-01-24 11:10:38	ga_s2bm_ard_3-2-1_52LGM_2022-01-24_final
2022-02-02 11:43:41	ga_s2bm_ard_3-2-1_51KTR_2022-02-02_final
2022-02-04 10:41:59	ga_s2bm_ard_3-2-1_53KRA_2022-02-04_final
2022-02-16 11:23:14	ga_s2bm_ard_3-2-1_52KBB_2022-02-16_final
2022-03-09 10:51:59	ga_s2bm_ard_3-2-1_53KKB_2022-03-09_final
2022-04-27 11:26:33	ga_s2bm_ard_3-2-1_51HWD_2022-04-27_final
2022-05-01 11:04:37	ga_s2bm_ard_3-2-1_52JFR_2022-05-01_final
2022-05-15 10:43:32	ga_s2bm_ard_3-2-1_53KPQ_2022-05-15_final
2022-05-20 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2022-05-20_final
2022-06-30 11:02:43	ga_s2bm_ard_3-2-1_53KKU_2022-06-30_final
2022-07-29 11:36:04	ga_s2bm_ard_3-2-1_51JUG_2022-07-29_final
2022-08-03 10:45:56	ga_s2bm_ard_3-2-1_53JMF_2022-08-03_final
2022-09-09 10:34:20	ga_s2bm_ard_3-2-1_53JQM_2022-09-09_final.stac-item
2022-09-21 12:51:02	ga_s2bm_ard_3-2-1_48LWP_2022-09-21_final.stac-item
2022-10-01 11:15:38	ga_s2bm_ard_3-2-1_51JYH_2022-10-01_final.stac-item
2022-11-17 11:03:53	ga_s2bm_ard_3-2-1_52KDV_2022-11-17_final.stac-item
2022-11-23 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2022-11-23_final.stac-item
2022-12-06 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-12-06_final.stac-item
2022-12-14 10:54:49	ga_s2bm_ard_3-2-1_53JLK_2022-12-14_final.stac-item
2022-12-18 10:33:04	ga_s2bm_ard_3-2-1_53KQS_2022-12-18_final.stac-item
2022-12-26 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2022-12-26_final.stac-item
2023-01-08 13:21:35	ga_s2bm_ard_3-2-1_46LHN_2023-01-08_interim.stac-item
2023-01-30 10:43:35	ga_s2bm_ard_3-2-1_53KNQ_2023-01-30_final.stac-item
2023-02-20 11:57:14	ga_s2bm_ard_3-2-1_49HGC_2023-02-20_nrt.stac-item
2023-03-31 10:45:50	ga_s2bm_ard_3-2-1_52JGM_2023-03-31_final.stac-item
2023-04-25 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2023-04-25_final.stac-item
2023-06-04 11:31:09	ga_s2bm_ard_3-2-1_52LBL_2023-06-04_nrt.stac-item
2023-06-07 11:42:26	ga_s2bm_ard_3-2-1_51KWA_2023-06-07_final.stac-item
2023-07-31 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-07-31_final.stac-item
2023-08-14 11:06:12	ga_s2bm_ard_3-2-1_52JCL_2023-08-14_final.stac-item
2023-08-20 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2023-08-20_final.stac-item
2023-11-04 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2023-11-04_final.stac-item
2023-11-04 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-11-04_final.stac-item
2023-11-23 10:33:55	ga_s2bm_ard_3-2-1_53JRN_2023-11-23_final.stac-item
2023-11-28 11:23:46	ga_s2bm_ard_3-2-1_52KBV_2023-11-28_final.stac-item
2024-01-24 11:14:28	ga_s2bm_ard_3-2-1_51JYN_2024-01-24_final.stac-item
2024-02-17 10:53:01	ga_s2bm_ard_3-2-1_52KHC_2024-02-17_final.stac-item
2024-03-03 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2024-03-03_final.stac-item
2024-03-10 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2024-03-10_final.stac-item
2024-03-13 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2024-03-13_final.stac-item
2024-03-22 10:33:35	ga_s2bm_ard_3-2-1_53KQQ_2024-03-22_final.stac-item
2024-03-28 10:52:05	ga_s2bm_ard_3-2-1_53KNA_2024-03-28_final.stac-item
2024-04-03 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2024-04-03_final.stac-item
2024-04-13 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2024-04-13_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

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