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
2017-10-11 10:52:02	ga_s2bm_ard_3-2-1_52KGV_2017-10-11_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52JCT_2017-12-06_final
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51HUD_2017-12-19_final
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52LGM_2017-12-26_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JWL_2018-01-28_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KZU_2018-01-28_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52KBD_2018-02-17_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JWJ_2018-02-17_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JLL_2018-06-06_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JWN_2018-06-07_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HQJ_2018-06-20_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JPN_2018-07-13_final
2018-11-17 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2018-11-17_final
2019-02-08 11:44:23	ga_s2bm_ard_3-2-1_50KPU_2019-02-08_final
2019-02-21 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-02-21_final
2019-03-16 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-03-16_final
2019-03-24 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2019-03-24_final
2019-04-19 11:46:07	ga_s2bm_ard_3-2-1_50JQM_2019-04-19_final
2019-08-30 11:55:57	ga_s2bm_ard_3-2-1_50JMN_2019-08-30_final
2019-09-27 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2019-09-27_final
2019-11-01 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2019-11-01_final
2019-12-19 11:22:33	ga_s2bm_ard_3-2-1_51KZV_2019-12-19_final
2019-12-29 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2019-12-29_final
2020-01-04 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2020-01-04_final
2020-01-05 11:14:36	ga_s2bm_ard_3-2-1_51JYM_2020-01-05_final
2020-02-01 11:02:19	ga_s2bm_ard_3-2-1_52KHE_2020-02-01_final
2020-03-02 11:01:26	ga_s2bm_ard_3-2-1_52LHJ_2020-03-02_final
2020-03-02 11:03:02	ga_s2bm_ard_3-2-1_52KEC_2020-03-02_final
2020-03-14 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2020-03-14_final
2020-04-02 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2020-04-02_final
2020-04-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2020-04-19_final
2020-05-03 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2020-05-03_final
2020-08-17 10:26:57	ga_s2bm_ard_3-2-1_53HNB_2020-08-17_final
2020-10-18 11:04:40	ga_s2bm_ard_3-2-1_52JDS_2020-10-18_final
2020-11-03 11:26:43	ga_s2bm_ard_3-2-1_51HWD_2020-11-03_final
2020-11-06 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2020-11-06_final
2021-01-26 11:01:32	ga_s2bm_ard_3-2-1_52LGJ_2021-01-26_final
2021-02-03 12:04:24	ga_s2bm_ard_3-2-1_50KLU_2021-02-03_final
2021-02-18 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2021-02-18_final
2021-03-03 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2021-03-03_final
2021-03-16 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2021-03-16_final
2021-05-04 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2021-05-04_final
2021-06-08 11:15:37	ga_s2bm_ard_3-2-1_52JBN_2021-06-08_final
2021-06-10 11:53:58	ga_s2bm_ard_3-2-1_50KNA_2021-06-10_final
2021-06-11 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2021-06-11_final
2021-06-11 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-06-11_final
2021-06-23 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-06-23_final
2021-06-23 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2021-06-23_final
2021-07-21 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2021-07-21_final
2021-09-13 11:05:27	ga_s2bm_ard_3-2-1_52JEN_2021-09-13_final
2021-10-16 11:14:47	ga_s2bm_ard_3-2-1_52JDR_2021-10-16_final
2021-11-04 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2021-11-04_final
2021-11-08 11:25:34	ga_s2bm_ard_3-2-1_51JYH_2021-11-08_final
2021-11-25 11:16:01	ga_s2bm_ard_3-2-1_52JBL_2021-11-25_final
2021-12-25 11:11:33	ga_s2bm_ard_3-2-1_52LFH_2021-12-25_final
2021-12-25 11:12:27	ga_s2bm_ard_3-2-1_52KEE_2021-12-25_final
2022-01-20 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2022-01-20_final
2022-01-30 11:32:20	ga_s2bm_ard_3-2-1_51KXA_2022-01-30_final
2022-02-02 11:41:50	ga_s2bm_ard_3-2-1_51LWC_2022-02-02_final
2022-02-12 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2022-02-12_final
2022-03-09 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2022-03-09_final
2022-03-28 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2022-03-28_final
2022-04-13 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-13_final
2022-04-30 11:33:53	ga_s2bm_ard_3-2-1_51KVQ_2022-04-30_final
2022-05-18 10:54:47	ga_s2bm_ard_3-2-1_52JFR_2022-05-18_final
2022-05-20 11:31:42	ga_s2bm_ard_3-2-1_51LXD_2022-05-20_final
2022-05-23 11:46:26	ga_s2bm_ard_3-2-1_50JML_2022-05-23_final
2022-06-16 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2022-06-16_final
2022-07-18 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2022-07-18_final
2022-07-31 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2022-07-31_final
2022-08-02 11:14:54	ga_s2bm_ard_3-2-1_52JCR_2022-08-02_final
2022-09-30 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2022-09-30_final.stac-item
2022-10-01 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2022-10-01_final.stac-item
2022-10-10 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2022-10-10_final.stac-item
2022-11-23 11:22:31	ga_s2bm_ard_3-2-1_51KYA_2022-11-23_final.stac-item
2022-11-28 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2022-11-28_final.stac-item
2022-12-12 11:57:10	ga_s2bm_ard_3-2-1_50HKH_2022-12-12_nrt.stac-item
2022-12-20 11:12:22	ga_s2bm_ard_3-2-1_52KCF_2022-12-20_final.stac-item
2023-01-01 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2023-01-01_nrt.stac-item
2023-01-02 11:22:40	ga_s2bm_ard_3-2-1_51KYV_2023-01-02_final.stac-item
2023-02-28 11:12:54	ga_s2bm_ard_3-2-1_52KCD_2023-02-28_final.stac-item
2023-04-08 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-04-08_final.stac-item
2023-04-24 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-04-24_final.stac-item
2023-05-01 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2023-05-01_final.stac-item
2023-05-01 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2023-05-01_final.stac-item
2023-06-14 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-06-14_final.stac-item
2023-06-28 11:12:11	ga_s2bm_ard_3-2-1_52KDG_2023-06-28_final.stac-item
2023-08-30 11:23:11	ga_s2bm_ard_3-2-1_51KZT_2023-08-30_final.stac-item
2023-10-12 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-10-12_final.stac-item
2023-11-05 11:16:37	ga_s2bm_ard_3-2-1_52HBJ_2023-11-05_nrt.stac-item
2023-11-11 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2023-11-11_final.stac-item
2023-11-28 11:22:48	ga_s2bm_ard_3-2-1_52KBD_2023-11-28_final.stac-item
2023-12-07 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2023-12-07_final.stac-item
2024-02-03 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2024-02-03_final.stac-item
2024-02-13 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2024-02-13_final.stac-item
2024-02-20 11:03:17	ga_s2bm_ard_3-2-1_52KFB_2024-02-20_final.stac-item
2024-02-25 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2024-02-25_final.stac-item
2024-03-10 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2024-03-10_final.stac-item
2024-03-13 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2024-03-13_final.stac-item
2024-03-20 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2024-03-20_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