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
2017-07-10 10:43:08	ga_s2bm_ard_3-2-1_53KNS_2017-07-10_final
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51HTD_2017-08-14_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50KRC_2017-09-29_final
2017-10-01 10:52:59	ga_s2bm_ard_3-2-1_53KKP_2017-10-01_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KFC_2017-12-06_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXT_2018-02-20_final
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_53JLN_2018-02-25_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JLN_2018-04-10_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JCM_2018-05-02_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JDM_2018-05-02_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JFQ_2018-05-02_final
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53JKG_2018-05-06_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGM_2018-05-30_final
2018-06-02 10:34:28	ga_s2bm_ard_3-2-1_53JPF_2018-06-02_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KWQ_2018-07-07_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HMH_2018-07-16_final
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53KMU_2018-08-24_final
2018-09-04 10:13:35	ga_s2bm_ard_3-2-1_53HQA_2018-09-04_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JMM_2018-10-01_final
2018-11-19 10:32:45	ga_s2bm_ard_3-2-1_53KRT_2018-11-19_final
2018-11-22 10:42:53	ga_s2bm_ard_3-2-1_53KMT_2018-11-22_final
2019-01-20 11:14:46	ga_s2bm_ard_3-2-1_52JDR_2019-01-20_final
2019-01-23 11:21:50	ga_s2bm_ard_3-2-1_52LCH_2019-01-23_final
2019-03-14 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-03-14_final
2019-03-26 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2019-03-26_final
2019-05-25 10:23:59	ga_s2bm_ard_3-2-1_53KRP_2019-05-25_final
2019-05-29 11:47:11	ga_s2bm_ard_3-2-1_50HPH_2019-05-29_final
2020-01-05 11:12:05	ga_s2bm_ard_3-2-1_52KCG_2020-01-05_final
2020-01-25 11:10:30	ga_s2bm_ard_3-2-1_52LHM_2020-01-25_final
2020-01-25 11:10:54	ga_s2bm_ard_3-2-1_52LFL_2020-01-25_final
2020-04-14 11:14:05	ga_s2bm_ard_3-2-1_52KBU_2020-04-14_final
2020-05-03 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2020-05-03_final
2020-07-20 11:03:55	ga_s2bm_ard_3-2-1_52KDV_2020-07-20_final
2020-08-18 11:35:54	ga_s2bm_ard_3-2-1_50JQN_2020-08-18_final
2020-08-21 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-08-21_final
2020-09-21 11:13:31	ga_s2bm_ard_3-2-1_51KZS_2020-09-21_final
2020-10-17 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2020-10-17_final
2020-11-28 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2020-11-28_final
2020-12-20 11:13:36	ga_s2bm_ard_3-2-1_51KZR_2020-12-20_final
2021-01-01 11:53:34	ga_s2bm_ard_3-2-1_50KPB_2021-01-01_final
2021-01-03 10:55:48	ga_s2bm_ard_3-2-1_52JEM_2021-01-03_final
2021-01-16 11:03:56	ga_s2bm_ard_3-2-1_52KGU_2021-01-16_final
2021-01-26 11:00:40	ga_s2bm_ard_3-2-1_53LLG_2021-01-26_final
2021-02-02 10:51:31	ga_s2bm_ard_3-2-1_53LPC_2021-02-02_final
2021-05-22 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2021-05-22_final
2021-07-07 11:43:53	ga_s2bm_ard_3-2-1_50KQA_2021-07-07_final
2021-07-10 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2021-07-10_final
2021-07-30 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2021-07-30_final
2021-08-15 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2021-08-15_final
2021-09-09 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2021-09-09_final
2021-10-14 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-10-14_final
2021-10-16 11:15:58	ga_s2bm_ard_3-2-1_51JXG_2021-10-16_final
2021-10-29 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-10-29_final
2021-11-04 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2021-11-04_final
2021-11-07 11:55:59	ga_s2bm_ard_3-2-1_50JMM_2021-11-07_final
2021-11-09 10:53:14	ga_s2bm_ard_3-2-1_52KHB_2021-11-09_final
2021-11-11 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-11-11_final
2022-01-24 11:12:48	ga_s2bm_ard_3-2-1_52KFC_2022-01-24_final
2022-01-30 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2022-01-30_final
2022-02-16 11:23:00	ga_s2bm_ard_3-2-1_51KZT_2022-02-16_final
2022-03-09 10:52:21	ga_s2bm_ard_3-2-1_52KHE_2022-03-09_final
2022-04-04 11:15:33	ga_s2bm_ard_3-2-1_52JBN_2022-04-04_final
2022-04-27 11:23:47	ga_s2bm_ard_3-2-1_51KYQ_2022-04-27_final
2022-05-27 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2022-05-27_final
2022-05-29 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2022-05-29_final
2022-06-23 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2022-06-23_final.stac-item
2022-07-08 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2022-07-08_final
2022-07-21 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2022-07-21_final
2022-09-08 11:05:47	ga_s2bm_ard_3-2-1_52JEM_2022-09-08_final.stac-item
2022-09-09 10:33:33	ga_s2bm_ard_3-2-1_53KRQ_2022-09-09_final.stac-item
2022-09-20 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-09-20_final.stac-item
2022-09-26 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2022-09-26_final.stac-item
2022-09-30 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2022-09-30_final.stac-item
2022-10-01 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2022-10-01_final.stac-item
2022-10-18 11:06:06	ga_s2bm_ard_3-2-1_52JCL_2022-10-18_final.stac-item
2022-10-19 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2022-10-19_final.stac-item
2022-11-23 11:21:24	ga_s2bm_ard_3-2-1_52LBK_2022-11-23_final.stac-item
2022-11-24 10:53:57	ga_s2bm_ard_3-2-1_53KKP_2022-11-24_final.stac-item
2022-11-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-25_final.stac-item
2022-11-29 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2022-11-29_final.stac-item
2022-12-09 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2022-12-09_final.stac-item
2022-12-24 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2022-12-24_final.stac-item
2023-02-22 10:51:35	ga_s2bm_ard_3-2-1_53LLD_2023-02-22_final.stac-item
2023-04-15 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2023-04-15_final.stac-item
2023-05-08 11:44:01	ga_s2bm_ard_3-2-1_51KUQ_2023-05-08_final.stac-item
2023-07-27 11:46:58	ga_s2bm_ard_3-2-1_50HNJ_2023-07-27_final.stac-item
2023-11-05 11:13:47	ga_s2bm_ard_3-2-1_52KEV_2023-11-05_final.stac-item
2023-12-10 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-12-10_final.stac-item
2023-12-14 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2023-12-14_final.stac-item
2023-12-19 10:54:52	ga_s2bm_ard_3-2-1_52JGR_2023-12-19_final.stac-item
2023-12-31 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2023-12-31_final.stac-item
2024-01-27 11:22:11	ga_s2bm_ard_3-2-1_52KDF_2024-01-27_final.stac-item
2024-02-01 10:31:47	ga_s2bm_ard_3-2-1_53KRB_2024-02-01_final.stac-item
2024-02-04 10:43:12	ga_s2bm_ard_3-2-1_53KQR_2024-02-04_final.stac-item
2024-03-01 11:01:55	ga_s2bm_ard_3-2-1_52KHG_2024-03-01_final.stac-item
2024-04-05 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-04-05_final.stac-item
2024-04-18 10:26:37	ga_s2bm_ard_3-2-1_53HPC_2024-04-18_final.stac-item
2024-04-26 11:23:26	ga_s2bm_ard_3-2-1_52KCA_2024-04-26_final.stac-item
2024-05-02 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2024-05-02_final.stac-item
2024-05-03 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2024-05-03_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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