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
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52JGM_2017-08-02_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_52KDE_2017-10-07_final
2017-10-09 11:55:53	ga_s2bm_ard_3-2-1_50JKM_2017-10-09_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KWU_2017-10-13_final
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52JFM_2017-11-30_final
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51JWH_2017-12-19_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRB_2017-12-25_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWK_2017-12-29_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KPU_2018-01-17_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51JWN_2018-06-10_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JXH_2018-07-07_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLM_2018-09-04_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HMH_2018-09-24_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JMQ_2018-10-04_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50HQH_2018-10-08_final
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_52JGM_2018-10-16_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HQK_2018-10-18_final
2018-10-29 11:01:40	ga_s2bm_ard_3-2-1_52KFV_2018-10-29_final
2018-11-10 11:44:46	ga_s2bm_ard_3-2-1_50JQS_2018-11-10_final
2018-12-01 11:13:17	ga_s2bm_ard_3-2-1_52KCB_2018-12-01_final
2019-01-26 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2019-01-26_final
2019-03-08 11:05:24	ga_s2bm_ard_3-2-1_52JFN_2019-03-08_final
2019-03-21 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2019-03-21_final
2019-04-19 11:46:54	ga_s2bm_ard_3-2-1_50HPJ_2019-04-19_final
2019-04-29 11:45:58	ga_s2bm_ard_3-2-1_50JPN_2019-04-29_final
2019-05-17 11:06:08	ga_s2bm_ard_3-2-1_52JEL_2019-05-17_final
2019-05-25 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2019-05-25_final
2019-05-30 11:15:19	ga_s2bm_ard_3-2-1_51JYK_2019-05-30_final
2019-06-08 11:47:00	ga_s2bm_ard_3-2-1_50HNJ_2019-06-08_final
2019-07-04 12:05:22	ga_s2bm_ard_3-2-1_49JGL_2019-07-04_final
2019-07-25 11:33:24	ga_s2bm_ard_3-2-1_51KVT_2019-07-25_final
2019-08-19 10:46:30	ga_s2bm_ard_3-2-1_53HLD_2019-08-19_final
2019-10-12 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2019-10-12_final
2019-10-20 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2019-10-20_final
2020-01-08 11:22:18	ga_s2bm_ard_3-2-1_51KZA_2020-01-08_final
2020-01-22 11:00:42	ga_s2bm_ard_3-2-1_52LGM_2020-01-22_final
2020-02-04 11:11:24	ga_s2bm_ard_3-2-1_52LFJ_2020-02-04_final
2020-02-27 11:22:02	ga_s2bm_ard_3-2-1_52KCG_2020-02-27_final
2020-03-07 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2020-03-07_final
2020-04-05 10:45:57	ga_s2bm_ard_3-2-1_52JGL_2020-04-05_final
2020-04-07 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2020-04-07_final
2020-05-21 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2020-05-21_final
2020-05-26 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2020-05-26_final
2020-06-03 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2020-06-03_final
2020-06-18 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2020-06-18_final
2020-07-19 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2020-07-19_final
2020-07-19 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2020-07-19_final
2020-10-05 10:54:19	ga_s2bm_ard_3-2-1_52JGT_2020-10-05_final
2020-11-26 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2020-11-26_final
2020-12-09 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2020-12-09_final
2020-12-10 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2020-12-10_final
2020-12-10 11:14:00	ga_s2bm_ard_3-2-1_52KDU_2020-12-10_final
2020-12-27 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2020-12-27_final
2021-02-03 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2021-02-03_final
2021-02-05 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2021-02-05_final
2021-03-13 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2021-03-13_final
2021-04-28 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2021-04-28_final
2021-05-20 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2021-05-20_final
2021-05-26 11:03:46	ga_s2bm_ard_3-2-1_52KFV_2021-05-26_final
2021-06-04 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2021-06-04_final
2021-06-13 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-06-13_final
2021-07-10 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2021-07-10_final
2021-10-05 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2021-10-05_final
2021-11-22 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2021-11-22_final
2021-11-24 11:44:02	ga_s2bm_ard_3-2-1_51KUP_2021-11-24_final
2021-12-08 11:24:32	ga_s2bm_ard_3-2-1_51JYM_2021-12-08_final
2022-01-05 10:46:20	ga_s2bm_ard_3-2-1_53HLD_2022-01-05_final
2022-01-18 10:54:25	ga_s2bm_ard_3-2-1_52JGS_2022-01-18_final
2022-01-20 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2022-01-20_final
2022-01-28 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2022-01-28_final
2022-02-03 11:13:16	ga_s2bm_ard_3-2-1_52KCB_2022-02-03_final
2022-02-15 11:54:42	ga_s2bm_ard_3-2-1_50JPS_2022-02-15_final
2022-03-18 11:22:33	ga_s2bm_ard_3-2-1_51KYV_2022-03-18_final
2022-04-30 11:34:29	ga_s2bm_ard_3-2-1_51JTN_2022-04-30_final
2022-05-23 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2022-05-23_final
2022-05-30 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2022-05-30_final
2022-06-30 11:06:04	ga_s2bm_ard_3-2-1_52JEL_2022-06-30_final
2022-08-25 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2022-08-25_final
2022-09-03 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2022-09-03_final.stac-item
2022-09-03 11:56:23	ga_s2bm_ard_3-2-1_50JML_2022-09-03_final.stac-item
2022-10-25 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2022-10-25_final.stac-item
2022-11-06 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2022-11-06_final.stac-item
2022-11-23 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2022-11-23_final.stac-item
2022-12-16 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2022-12-16_final.stac-item
2022-12-29 13:21:44	ga_s2bm_ard_3-2-1_46LHM_2022-12-29_interim.stac-item
2022-12-30 11:13:14	ga_s2bm_ard_3-2-1_52KEB_2022-12-30_final.stac-item
2023-01-03 10:54:43	ga_s2bm_ard_3-2-1_52JGR_2023-01-03_final.stac-item
2023-02-27 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2023-02-27_final.stac-item
2023-04-09 11:16:36	ga_s2bm_ard_3-2-1_52HBJ_2023-04-09_nrt.stac-item
2023-05-04 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-05-04_final.stac-item
2023-05-26 11:05:49	ga_s2bm_ard_3-2-1_52JEM_2023-05-26_final.stac-item
2023-06-18 11:13:09	ga_s2bm_ard_3-2-1_52KDC_2023-06-18_final.stac-item
2023-06-21 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2023-06-21_final.stac-item
2023-07-02 10:54:06	ga_s2bm_ard_3-2-1_52KGU_2023-07-02_final.stac-item
2023-09-05 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-09-05_final.stac-item
2023-09-15 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2023-09-15_final.stac-item
2023-12-31 11:35:59	ga_s2bm_ard_3-2-1_51JVG_2023-12-31_final.stac-item
2024-01-24 11:16:33	ga_s2bm_ard_3-2-1_52HBJ_2024-01-24_nrt.stac-item
2024-03-11 11:01:28	ga_s2bm_ard_3-2-1_52LGJ_2024-03-11_final.stac-item
2024-03-13 11:43:59	ga_s2bm_ard_3-2-1_51KTQ_2024-03-13_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

All years