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
2017-07-22 11:26:09	ga_s2bm_ard_3-2-1_51HUE_2017-07-22_final
2017-08-05 11:00:30	ga_s2bm_ard_3-2-1_52KEA_2017-08-05_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JML_2017-08-07_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51JYF_2018-01-15_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51HXD_2018-01-25_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KZR_2018-01-28_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KXS_2018-04-01_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KNU_2018-06-06_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNR_2018-07-03_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_52KBD_2018-08-06_final
2018-11-07 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2018-11-07_final
2018-12-13 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2018-12-13_final
2019-02-09 11:15:18	ga_s2bm_ard_3-2-1_52JCP_2019-02-09_final
2019-02-28 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2019-02-28_final
2019-03-21 11:15:42	ga_s2bm_ard_3-2-1_51JXH_2019-03-21_final
2019-04-16 11:33:58	ga_s2bm_ard_3-2-1_51KXQ_2019-04-16_final
2019-05-04 10:56:04	ga_s2bm_ard_3-2-1_52JGL_2019-05-04_final
2019-07-11 11:54:13	ga_s2bm_ard_3-2-1_50KPV_2019-07-11_final
2019-07-12 11:23:47	ga_s2bm_ard_3-2-1_51KYR_2019-07-12_final
2019-07-22 11:23:58	ga_s2bm_ard_3-2-1_52KBV_2019-07-22_final
2019-07-24 10:27:13	ga_s2bm_ard_3-2-1_53HPA_2019-07-24_final
2019-08-08 11:15:29	ga_s2bm_ard_3-2-1_52JBP_2019-08-08_final
2019-08-21 11:25:33	ga_s2bm_ard_3-2-1_51JWJ_2019-08-21_final
2019-10-24 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2019-10-24_final
2019-12-09 11:24:13	ga_s2bm_ard_3-2-1_51JZN_2019-12-09_final
2020-01-08 11:25:26	ga_s2bm_ard_3-2-1_51JVJ_2020-01-08_final
2020-01-25 11:13:29	ga_s2bm_ard_3-2-1_52KCA_2020-01-25_final
2020-03-01 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2020-03-01_final
2020-03-21 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2020-03-21_final
2020-05-20 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2020-05-20_final
2020-05-27 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2020-05-27_final
2020-08-01 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2020-08-01_final
2020-09-20 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2020-09-20_final
2020-09-24 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2020-09-24_final
2020-09-24 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2020-09-24_final
2020-10-11 11:13:08	ga_s2bm_ard_3-2-1_52KDC_2020-10-11_final
2020-10-30 11:42:02	ga_s2bm_ard_3-2-1_51LVC_2020-10-30_final
2020-12-06 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2020-12-06_final
2020-12-10 11:15:08	ga_s2bm_ard_3-2-1_51JYK_2020-12-10_final
2020-12-16 11:36:10	ga_s2bm_ard_3-2-1_51JUF_2020-12-16_final
2020-12-17 11:01:09	ga_s2bm_ard_3-2-1_52LHK_2020-12-17_final
2021-01-15 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-01-15_final
2021-01-26 11:01:32	ga_s2bm_ard_3-2-1_52LGJ_2021-01-26_final
2021-02-04 11:35:40	ga_s2bm_ard_3-2-1_51JVH_2021-02-04_final
2021-03-14 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2021-03-14_final
2021-03-27 11:04:46	ga_s2bm_ard_3-2-1_52JER_2021-03-27_final
2021-04-24 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-04-24_final
2021-05-08 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2021-05-08_final
2021-05-26 11:03:49	ga_s2bm_ard_3-2-1_52KEV_2021-05-26_final
2021-05-26 11:04:07	ga_s2bm_ard_3-2-1_52KDU_2021-05-26_final
2021-06-10 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-06-10_final
2021-06-11 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2021-06-11_final
2021-06-14 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-06-14_final
2021-09-11 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2021-09-11_final
2021-10-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-10-05_final
2021-10-07 10:46:21	ga_s2bm_ard_3-2-1_53HMD_2021-10-07_final
2021-11-18 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2021-11-18_final
2021-11-21 11:35:45	ga_s2bm_ard_3-2-1_51JTH_2021-11-21_final
2022-02-03 11:13:52	ga_s2bm_ard_3-2-1_52KEU_2022-02-03_final
2022-02-06 11:21:20	ga_s2bm_ard_3-2-1_51LZE_2022-02-06_final
2022-04-12 12:13:45	ga_s2bm_ard_3-2-1_49KHR_2022-04-12_final
2022-05-23 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2022-05-23_final
2022-05-31 11:05:37	ga_s2bm_ard_3-2-1_52JCN_2022-05-31_final
2022-06-20 11:05:17	ga_s2bm_ard_3-2-1_52JFP_2022-06-20_final
2022-07-31 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2022-07-31_final
2022-08-09 11:04:47	ga_s2bm_ard_3-2-1_52JFR_2022-08-09_final
2022-08-28 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2022-08-28_final
2022-09-03 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2022-09-03_final.stac-item
2022-09-04 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2022-09-04_final.stac-item
2022-09-17 11:35:47	ga_s2bm_ard_3-2-1_51JUH_2022-09-17_final.stac-item
2022-09-24 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2022-09-24_final.stac-item
2022-10-01 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2022-10-01_final.stac-item
2022-10-02 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2022-10-02_final.stac-item
2022-10-06 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2022-10-06_final.stac-item
2022-11-17 11:05:09	ga_s2bm_ard_3-2-1_52JFP_2022-11-17_final.stac-item
2022-12-17 11:02:32	ga_s2bm_ard_3-2-1_52KFE_2022-12-17_final.stac-item
2022-12-20 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2022-12-20_final.stac-item
2023-01-16 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2023-01-16_final.stac-item
2023-01-29 11:10:55	ga_s2bm_ard_3-2-1_52LGL_2023-01-29_final.stac-item
2023-03-07 11:01:02	ga_s2bm_ard_3-2-1_52LHL_2023-03-07_final.stac-item
2023-03-10 11:13:44	ga_s2bm_ard_3-2-1_51KZR_2023-03-10_final.stac-item
2023-03-13 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2023-03-13_final.stac-item
2023-04-12 11:24:05	ga_s2bm_ard_3-2-1_52KBU_2023-04-12_final.stac-item
2023-06-07 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2023-06-07_final.stac-item
2023-08-13 11:36:23	ga_s2bm_ard_3-2-1_51JTF_2023-08-13_final.stac-item
2023-08-29 11:57:15	ga_s2bm_ard_3-2-1_50HMH_2023-08-29_final.stac-item
2023-08-30 11:26:01	ga_s2bm_ard_3-2-1_51JWG_2023-08-30_final.stac-item
2023-09-06 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2023-09-06_final.stac-item
2023-11-10 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2023-11-10_final.stac-item
2023-11-24 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2023-11-24_final.stac-item
2023-12-28 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2023-12-28_final.stac-item
2024-01-17 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2024-01-17_final.stac-item
2024-01-21 11:06:32	ga_s2bm_ard_3-2-1_52HBJ_2024-01-21_nrt.stac-item
2024-01-26 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2024-01-26_final.stac-item
2024-02-06 11:22:50	ga_s2bm_ard_3-2-1_52KBD_2024-02-06_final.stac-item
2024-03-03 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2024-03-03_final.stac-item
2024-03-07 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2024-03-07_final.stac-item
2024-03-20 11:34:36	ga_s2bm_ard_3-2-1_51JTN_2024-03-20_final.stac-item
2024-03-21 11:03:04	ga_s2bm_ard_3-2-1_52KGC_2024-03-21_final.stac-item
2024-03-23 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2024-03-23_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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