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
2017-12-01 10:16:54	ga_s2bm_ard_3-2-1_54LZM_2017-12-01_final
2018-01-10 10:23:19	ga_s2bm_ard_3-2-1_53JQH_2018-01-10_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVB_2018-01-14_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KQR_2018-01-26_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51HTD_2018-01-31_final
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_54LXN_2018-02-09_final
2018-02-28 10:47:16	ga_s2bm_ard_3-2-1_53JKG_2018-02-28_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KWR_2018-03-02_final
2018-03-17 10:37:20	ga_s2bm_ard_3-2-1_53JNM_2018-03-17_final
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53JLF_2018-07-25_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JLN_2018-07-26_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KVT_2018-09-08_final
2018-11-19 10:33:38	ga_s2bm_ard_3-2-1_54KTU_2018-11-19_final
2019-01-23 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2019-01-23_final
2019-02-09 11:10:43	ga_s2bm_ard_3-2-1_52LGM_2019-02-09_final
2019-02-14 10:20:45	ga_s2bm_ard_3-2-1_54LWL_2019-02-14_final
2019-04-05 10:25:39	ga_s2bm_ard_3-2-1_54JVL_2019-04-05_final
2019-04-20 11:14:00	ga_s2bm_ard_3-2-1_52KBV_2019-04-20_final
2019-04-25 10:24:26	ga_s2bm_ard_3-2-1_53JRM_2019-04-25_final
2019-05-13 11:23:15	ga_s2bm_ard_3-2-1_51KZT_2019-05-13_final
2019-06-04 10:26:55	ga_s2bm_ard_3-2-1_53HQB_2019-06-04_final
2019-06-07 10:33:57	ga_s2bm_ard_3-2-1_53KQP_2019-06-07_final
2019-06-07 10:36:18	ga_s2bm_ard_3-2-1_53HME_2019-06-07_final
2019-07-06 11:04:59	ga_s2bm_ard_3-2-1_52JDR_2019-07-06_final
2019-08-06 10:34:11	ga_s2bm_ard_3-2-1_53JQN_2019-08-06_final
2019-08-09 10:44:28	ga_s2bm_ard_3-2-1_53JNM_2019-08-09_final
2019-09-06 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2019-09-06_final
2019-10-23 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2019-10-23_final
2019-11-14 10:34:24	ga_s2bm_ard_3-2-1_53JNM_2019-11-14_final
2019-12-26 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2019-12-26_final
2020-01-16 10:44:00	ga_s2bm_ard_3-2-1_53JNN_2020-01-16_final
2020-01-25 11:12:35	ga_s2bm_ard_3-2-1_52KFD_2020-01-25_final
2020-01-29 10:55:31	ga_s2bm_ard_3-2-1_53JKG_2020-01-29_final
2020-02-02 10:36:43	ga_s2bm_ard_3-2-1_53HNB_2020-02-02_final
2020-02-22 10:32:01	ga_s2bm_ard_3-2-1_53KRA_2020-02-22_final
2020-03-08 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2020-03-08_final
2020-04-20 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2020-04-20_final
2020-05-09 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2020-05-09_final
2020-06-01 10:34:01	ga_s2bm_ard_3-2-1_54JTT_2020-06-01_final
2020-06-06 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2020-06-06_final
2020-07-26 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2020-07-26_final
2020-09-03 10:17:18	ga_s2bm_ard_3-2-1_54HUE_2020-09-03_final.stac-item
2020-09-07 11:33:09	ga_s2bm_ard_3-2-1_51KYT_2020-09-07_final
2020-10-27 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2020-10-27_final
2020-11-09 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2020-11-09_final
2020-11-30 11:11:06	ga_s2bm_ard_3-2-1_52LFL_2020-11-30_final
2020-12-10 11:11:02	ga_s2bm_ard_3-2-1_52LEL_2020-12-10_final.stac-item
2020-12-19 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2020-12-19_final
2021-01-10 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2021-01-10_final
2021-03-21 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2021-03-21_final
2021-03-24 10:52:20	ga_s2bm_ard_3-2-1_53KLV_2021-03-24_final
2021-04-26 11:00:35	ga_s2bm_ard_3-2-1_53LLG_2021-04-26_final
2021-05-01 10:16:59	ga_s2bm_ard_3-2-1_54HTF_2021-05-01_final
2021-06-28 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2021-06-28_final.stac-item
2021-07-26 10:33:33	ga_s2bm_ard_3-2-1_54KTV_2021-07-26_final
2021-09-02 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2021-09-02_final.stac-item
2022-02-06 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2022-02-06_final
2022-02-19 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-02-19_final
2022-02-22 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2022-02-22_final
2022-03-21 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2022-03-21_final
2022-05-19 10:25:35	ga_s2bm_ard_3-2-1_54JVL_2022-05-19_final
2022-05-31 11:02:29	ga_s2bm_ard_3-2-1_52KGE_2022-05-31_final
2022-06-04 10:44:21	ga_s2bm_ard_3-2-1_53JNM_2022-06-04_final
2022-07-06 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2022-07-06_final
2022-07-12 10:06:58	ga_s2bm_ard_3-2-1_54HXF_2022-07-12_final
2022-07-26 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2022-07-26_final
2022-08-17 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2022-08-17_final
2022-10-10 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2022-10-10_final.stac-item
2022-10-25 10:50:27	ga_s2bm_ard_3-2-1_53LQG_2022-10-25_final.stac-item
2022-12-06 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2022-12-06_final.stac-item
2022-12-08 10:30:37	ga_s2bm_ard_3-2-1_54LWL_2022-12-08_final.stac-item
2023-01-10 10:42:32	ga_s2bm_ard_3-2-1_53KPU_2023-01-10_final.stac-item
2023-01-15 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-01-15_final.stac-item
2023-01-28 11:40:55	ga_s2bm_ard_3-2-1_51LWG_2023-01-28_final.stac-item
2023-02-04 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2023-02-04_final.stac-item
2023-02-12 10:51:59	ga_s2bm_ard_3-2-1_53KLB_2023-02-12_final.stac-item
2023-02-14 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2023-02-14_final.stac-item
2023-02-19 10:44:15	ga_s2bm_ard_3-2-1_53JPM_2023-02-19_final.stac-item
2023-05-17 10:36:44	ga_s2bm_ard_3-2-1_53HMC_2023-05-17_final.stac-item
2023-06-04 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2023-06-04_final.stac-item
2023-06-14 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-06-14_final.stac-item
2023-09-14 10:34:03	ga_s2bm_ard_3-2-1_53JRN_2023-09-14_final.stac-item
2023-09-19 11:22:26	ga_s2bm_ard_3-2-1_52KBF_2023-09-19_final.stac-item
2023-11-01 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2023-11-01_final.stac-item
2023-11-08 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2023-11-08_final.stac-item
2023-12-04 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2023-12-04_final.stac-item
2023-12-12 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2023-12-12_final.stac-item
2023-12-14 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2023-12-14_final.stac-item
2023-12-21 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-12-21_final.stac-item
2024-01-10 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2024-01-10_final.stac-item
2024-01-22 10:33:59	ga_s2bm_ard_3-2-1_54JTT_2024-01-22_final.stac-item
2024-01-24 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2024-01-24_final.stac-item
2024-01-31 11:02:01	ga_s2bm_ard_3-2-1_53KLA_2024-01-31_final.stac-item
2024-02-06 11:22:16	ga_s2bm_ard_3-2-1_51KYA_2024-02-06_final.stac-item
2024-03-06 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2024-03-06_final.stac-item
2024-03-30 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2024-03-30_final.stac-item
2024-05-02 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2024-05-02_final.stac-item
2024-05-03 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2024-05-03_final.stac-item
2024-05-12 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2024-05-12_final.stac-item
2024-05-13 11:10:32	ga_s2bm_ard_3-2-1_52LFN_2024-05-13_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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