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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2017-07-05_final
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50JNL_2017-07-21_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KBA_2017-09-27_final
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_50KKB_2017-10-05_final
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_52JCS_2017-10-27_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51LZC_2017-11-19_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWN_2017-12-29_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KBU_2018-01-28_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KVV_2018-02-03_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HPH_2018-02-23_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JMM_2018-02-26_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JHM_2018-05-30_final
2018-07-22 12:13:19	ga_s2bm_ard_3-2-1_49KGR_2018-07-22_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HQH_2018-09-28_final
2018-10-19 11:04:48	ga_s2bm_ard_3-2-1_52JDL_2018-10-19_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HQJ_2018-10-31_final
2018-11-09 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-11-09_final
2018-11-10 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2018-11-10_final
2018-11-12 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2018-11-12_final
2018-11-21 11:16:09	ga_s2bm_ard_3-2-1_51JXF_2018-11-21_final
2019-03-19 10:36:27	ga_s2bm_ard_3-2-1_53HLD_2019-03-19_final
2019-03-30 11:42:01	ga_s2bm_ard_3-2-1_51LVC_2019-03-30_final
2019-06-05 11:33:06	ga_s2bm_ard_3-2-1_51KWU_2019-06-05_final
2019-07-04 12:05:06	ga_s2bm_ard_3-2-1_50JKS_2019-07-04_final
2019-07-05 11:34:45	ga_s2bm_ard_3-2-1_51JTN_2019-07-05_final
2019-07-08 11:43:05	ga_s2bm_ard_3-2-1_51KVU_2019-07-08_final
2019-07-13 10:55:43	ga_s2bm_ard_3-2-1_52JEN_2019-07-13_final
2019-12-28 11:54:17	ga_s2bm_ard_3-2-1_50KNU_2019-12-28_final
2020-01-04 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2020-01-04_final
2020-01-11 11:34:31	ga_s2bm_ard_3-2-1_51JTN_2020-01-11_final
2020-02-21 11:05:48	ga_s2bm_ard_3-2-1_52JCM_2020-02-21_final
2020-03-02 11:05:35	ga_s2bm_ard_3-2-1_52JCN_2020-03-02_final
2020-06-29 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-06-29_final
2020-07-06 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2020-07-06_final
2020-07-14 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2020-07-14_final
2020-07-20 11:05:21	ga_s2bm_ard_3-2-1_52JDP_2020-07-20_final
2020-08-07 12:04:49	ga_s2bm_ard_3-2-1_50JLT_2020-08-07_final
2020-09-21 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2020-09-21_final
2020-10-23 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-10-23_final
2020-11-23 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2020-11-23_final
2021-01-22 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2021-01-22_final
2021-02-02 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2021-02-02_final
2021-02-03 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2021-02-03_final
2021-03-09 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2021-03-09_final
2021-04-28 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2021-04-28_final
2021-05-04 12:03:53	ga_s2bm_ard_3-2-1_50KLA_2021-05-04_final
2021-05-25 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2021-05-25_final
2021-06-01 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2021-06-01_final
2021-06-02 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2021-06-02_final
2021-06-18 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2021-06-18_final
2021-06-18 11:13:45	ga_s2bm_ard_3-2-1_52KEV_2021-06-18_final
2021-06-27 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2021-06-27_final
2021-07-01 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2021-07-01_final
2021-09-12 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2021-09-12_final
2021-09-21 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2021-09-21_final
2021-10-05 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-10-05_final
2021-10-10 10:55:03	ga_s2bm_ard_3-2-1_52JFQ_2021-10-10_final
2022-01-07 11:22:19	ga_s2bm_ard_3-2-1_51KZA_2022-01-07_final
2022-01-17 11:25:05	ga_s2bm_ard_3-2-1_51JXK_2022-01-17_final
2022-02-03 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2022-02-03_final
2022-02-13 11:15:24	ga_s2bm_ard_3-2-1_51JXJ_2022-02-13_final
2022-04-03 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2022-04-03_final
2022-04-17 11:26:14	ga_s2bm_ard_3-2-1_51JUF_2022-04-17_final
2022-05-13 11:43:49	ga_s2bm_ard_3-2-1_50KQA_2022-05-13_final
2022-07-09 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2022-07-09_final
2022-07-20 11:04:23	ga_s2bm_ard_3-2-1_52JET_2022-07-20_final
2022-08-09 11:05:16	ga_s2bm_ard_3-2-1_52JFP_2022-08-09_final
2022-10-07 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2022-10-07_final.stac-item
2022-10-23 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-10-23_final.stac-item
2022-10-27 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2022-10-27_final.stac-item
2022-11-23 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2022-11-23_final.stac-item
2022-11-26 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-11-26_final.stac-item
2022-12-16 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2022-12-16_final.stac-item
2023-01-02 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2023-01-02_final.stac-item
2023-01-05 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2023-01-05_final.stac-item
2023-01-06 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2023-01-06_final.stac-item
2023-01-31 13:31:36	ga_s2bm_ard_3-2-1_47LKG_2023-01-31_interim.stac-item
2023-02-14 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-02-14_final.stac-item
2023-02-21 11:22:18	ga_s2bm_ard_3-2-1_52KCF_2023-02-21_final.stac-item
2023-06-20 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-06-20_final.stac-item
2023-06-28 11:10:42	ga_s2bm_ard_3-2-1_52LHM_2023-06-28_final.stac-item
2023-06-28 11:13:27	ga_s2bm_ard_3-2-1_52KCB_2023-06-28_final.stac-item
2023-08-04 11:05:49	ga_s2bm_ard_3-2-1_52JEM_2023-08-04_final.stac-item
2023-09-19 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2023-09-19_final.stac-item
2023-09-28 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2023-09-28_final.stac-item
2023-11-12 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2023-11-12_final.stac-item
2023-12-12 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2023-12-12_final.stac-item
2023-12-18 11:21:09	ga_s2bm_ard_3-2-1_52LBL_2023-12-18_nrt.stac-item
2024-01-14 11:11:43	ga_s2bm_ard_3-2-1_52LFH_2024-01-14_final.stac-item
2024-01-18 10:52:44	ga_s2bm_ard_3-2-1_52KHD_2024-01-18_final.stac-item
2024-01-22 12:14:30	ga_s2bm_ard_3-2-1_49KFP_2024-01-22_nrt.stac-item
2024-01-23 11:44:04	ga_s2bm_ard_3-2-1_50KQV_2024-01-23_final.stac-item
2024-01-24 11:13:50	ga_s2bm_ard_3-2-1_52KCV_2024-01-24_final.stac-item
2024-01-27 11:23:01	ga_s2bm_ard_3-2-1_52KCC_2024-01-27_final.stac-item
2024-01-27 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2024-01-27_final.stac-item
2024-03-03 11:44:47	ga_s2bm_ard_3-2-1_50JQS_2024-03-03_final.stac-item
2024-03-07 11:21:05	ga_s2bm_ard_3-2-1_51LZF_2024-03-07_nrt.stac-item
2024-03-08 10:53:40	ga_s2bm_ard_3-2-1_52KGV_2024-03-08_final.stac-item
2024-03-24 11:11:45	ga_s2bm_ard_3-2-1_52LFH_2024-03-24_final.stac-item
2024-04-05 11:57:08	ga_s2bm_ard_3-2-1_49HGC_2024-04-05_nrt.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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