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
2017-08-16 12:14:39	ga_s2bm_ard_3-2-1_49JGM_2017-08-16_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KTQ_2017-12-05_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KQV_2018-01-07_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_52LDH_2018-01-08_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JTH_2018-01-21_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51LZD_2018-01-28_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KFU_2018-02-01_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KYA_2018-02-17_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51LYC_2018-02-17_final
2018-04-19 10:47:23	ga_s2bm_ard_3-2-1_52JGR_2018-04-19_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKM_2018-04-20_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JKM_2018-07-09_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JWN_2018-10-25_final
2018-11-16 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2018-11-16_final
2018-11-21 11:15:55	ga_s2bm_ard_3-2-1_51JYG_2018-11-21_final
2018-12-01 11:13:00	ga_s2bm_ard_3-2-1_52KDC_2018-12-01_final
2018-12-31 11:10:40	ga_s2bm_ard_3-2-1_52LGM_2018-12-31_final
2019-02-12 11:25:34	ga_s2bm_ard_3-2-1_51JYH_2019-02-12_final
2019-03-06 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2019-03-06_final
2019-04-02 11:55:37	ga_s2bm_ard_3-2-1_50JNP_2019-04-02_final
2019-06-02 11:23:08	ga_s2bm_ard_3-2-1_51KXU_2019-06-02_final
2019-08-14 11:36:40	ga_s2bm_ard_3-2-1_50HQK_2019-08-14_final
2019-09-24 11:02:47	ga_s2bm_ard_3-2-1_52KFD_2019-09-24_final
2019-10-06 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2019-10-06_final
2019-10-16 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2019-10-16_final
2019-12-16 11:15:37	ga_s2bm_ard_3-2-1_51JXH_2019-12-16_final
2020-02-17 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2020-02-17_final
2020-03-01 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2020-03-01_final
2020-03-11 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2020-03-11_final
2020-05-20 11:32:22	ga_s2bm_ard_3-2-1_51KYA_2020-05-20_final
2020-05-21 11:01:02	ga_s2bm_ard_3-2-1_52LHL_2020-05-21_final
2020-05-27 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2020-05-27_final
2020-09-23 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-09-23_final
2020-10-20 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-10-20_final
2020-10-30 11:44:19	ga_s2bm_ard_3-2-1_51KTP_2020-10-30_final
2020-11-26 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2020-11-26_final
2021-03-20 11:13:29	ga_s2bm_ard_3-2-1_52KEA_2021-03-20_final
2021-04-08 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2021-04-08_final
2021-05-04 12:04:23	ga_s2bm_ard_3-2-1_50KLU_2021-05-04_final
2021-05-17 10:36:49	ga_s2bm_ard_3-2-1_53HNB_2021-05-17_final
2021-06-03 12:04:27	ga_s2bm_ard_3-2-1_50KLU_2021-06-03_final
2021-06-10 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-06-10_final
2021-07-17 11:45:20	ga_s2bm_ard_3-2-1_50JQQ_2021-07-17_final
2021-08-10 11:25:28	ga_s2bm_ard_3-2-1_51JWJ_2021-08-10_final
2021-08-23 11:34:28	ga_s2bm_ard_3-2-1_51JVN_2021-08-23_final
2021-09-12 11:35:08	ga_s2bm_ard_3-2-1_51JVK_2021-09-12_final
2021-09-15 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2021-09-15_final
2021-09-15 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2021-09-15_final
2021-09-16 11:13:21	ga_s2bm_ard_3-2-1_52KBB_2021-09-16_final
2021-11-19 10:56:01	ga_s2bm_ard_3-2-1_52JEL_2021-11-19_final
2022-01-14 11:11:06	ga_s2bm_ard_3-2-1_52LGK_2022-01-14_final
2022-01-21 11:01:12	ga_s2bm_ard_3-2-1_52LGK_2022-01-21_final
2022-01-27 11:21:48	ga_s2bm_ard_3-2-1_51LZC_2022-01-27_final
2022-02-03 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2022-02-03_final
2022-03-05 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2022-03-05_final
2022-03-15 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2022-03-15_final
2022-03-21 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-03-21_final
2022-06-30 11:04:48	ga_s2bm_ard_3-2-1_52JFR_2022-06-30_final
2022-07-28 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2022-07-28_final
2022-08-09 11:05:12	ga_s2bm_ard_3-2-1_52JCQ_2022-08-09_final
2022-09-01 12:51:00	ga_s2bm_ard_3-2-1_48LXP_2022-09-01_interim.stac-item
2022-09-13 13:31:41	ga_s2bm_ard_3-2-1_46LHM_2022-09-13_interim.stac-item
2022-09-24 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2022-09-24_final.stac-item
2022-09-30 11:44:34	ga_s2bm_ard_3-2-1_50JQT_2022-09-30_final.stac-item
2022-10-01 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2022-10-01_final.stac-item
2022-10-18 11:05:51	ga_s2bm_ard_3-2-1_52JCM_2022-10-18_final.stac-item
2022-10-28 11:04:42	ga_s2bm_ard_3-2-1_52JFR_2022-10-28_final.stac-item
2022-11-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-11-26_final.stac-item
2022-11-27 11:03:48	ga_s2bm_ard_3-2-1_52KEV_2022-11-27_final.stac-item
2022-12-17 11:02:28	ga_s2bm_ard_3-2-1_52KGE_2022-12-17_final.stac-item
2022-12-17 11:03:23	ga_s2bm_ard_3-2-1_52KGA_2022-12-17_final.stac-item
2022-12-20 11:12:31	ga_s2bm_ard_3-2-1_52KEE_2022-12-20_final.stac-item
2023-01-05 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2023-01-05_final.stac-item
2023-02-21 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2023-02-21_final.stac-item
2023-02-27 11:44:31	ga_s2bm_ard_3-2-1_51JTN_2023-02-27_final.stac-item
2023-02-28 11:10:58	ga_s2bm_ard_3-2-1_52LGL_2023-02-28_final.stac-item
2023-03-26 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-03-26_final.stac-item
2023-03-28 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-03-28_final.stac-item
2023-03-30 11:14:41	ga_s2bm_ard_3-2-1_52JBS_2023-03-30_final.stac-item
2023-04-28 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2023-04-28_final.stac-item
2023-05-31 11:55:46	ga_s2bm_ard_3-2-1_50JLP_2023-05-31_final.stac-item
2023-06-17 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-06-17_final.stac-item
2023-06-28 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2023-06-28_final.stac-item
2023-08-02 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-08-02_final.stac-item
2023-09-07 10:46:09	ga_s2bm_ard_3-2-1_52JGL_2023-09-07_final.stac-item
2024-01-11 11:01:30	ga_s2bm_ard_3-2-1_52LGJ_2024-01-11_final.stac-item
2024-01-24 11:14:16	ga_s2bm_ard_3-2-1_52JDT_2024-01-24_final.stac-item
2024-03-03 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2024-03-03_final.stac-item
2024-03-03 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2024-03-03_final.stac-item
2024-03-07 11:26:27	ga_s2bm_ard_3-2-1_51HUE_2024-03-07_final.stac-item
2024-03-11 11:01:53	ga_s2bm_ard_3-2-1_52KHG_2024-03-11_final.stac-item
2024-03-11 11:02:40	ga_s2bm_ard_3-2-1_52KGD_2024-03-11_final.stac-item
2024-03-13 11:41:56	ga_s2bm_ard_3-2-1_51LVC_2024-03-13_final.stac-item
2024-03-15 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2024-03-15_final.stac-item
2024-03-20 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2024-03-20_final.stac-item
2024-03-24 11:15:54	ga_s2bm_ard_3-2-1_51JYG_2024-03-24_final.stac-item
2024-04-03 11:12:16	ga_s2bm_ard_3-2-1_52KEF_2024-04-03_final.stac-item
2024-04-22 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2024-04-22_final.stac-item
2024-04-28 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-04-28_final.stac-item
2024-05-06 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2024-05-06_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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