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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50KKV_2017-08-13_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HUD_2017-09-23_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52JBT_2017-12-26_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWM_2017-12-29_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_51HYD_2018-01-05_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51LXC_2018-01-11_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51JXH_2018-01-25_final
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52KFD_2018-02-01_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52KEF_2018-02-14_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52KEG_2018-02-14_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52JCL_2018-04-15_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JMM_2018-06-26_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52KBC_2018-07-24_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JKN_2018-08-08_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HVC_2018-10-05_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KWA_2018-10-21_final
2018-11-11 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2018-11-11_final
2019-03-06 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2019-03-06_final
2019-04-02 11:55:23	ga_s2bm_ard_3-2-1_50JNQ_2019-04-02_final
2019-05-16 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-16_final
2019-06-25 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-06-25_final
2019-07-24 12:04:07	ga_s2bm_ard_3-2-1_50KKA_2019-07-24_final
2019-12-28 11:54:08	ga_s2bm_ard_3-2-1_50KQU_2019-12-28_final
2019-12-29 11:24:27	ga_s2bm_ard_3-2-1_52JBS_2019-12-29_final
2020-01-01 11:32:50	ga_s2bm_ard_3-2-1_51KXU_2020-01-01_final
2020-01-04 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2020-01-04_final
2020-02-17 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2020-02-17_final
2020-02-26 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-02-26_final
2020-03-01 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2020-03-01_final
2020-03-01 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2020-03-01_final
2020-03-02 11:02:23	ga_s2bm_ard_3-2-1_52KHE_2020-03-02_final
2020-03-11 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2020-03-11_final
2020-04-07 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2020-04-07_final
2020-04-14 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2020-04-14_final
2020-04-16 11:54:58	ga_s2bm_ard_3-2-1_50JPR_2020-04-16_final
2020-04-16 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2020-04-16_final
2020-04-20 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2020-04-20_final
2020-05-20 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2020-05-20_final
2020-07-19 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2020-07-19_final
2020-08-11 11:45:46	ga_s2bm_ard_3-2-1_50JPP_2020-08-11_final
2020-08-11 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-08-11_final
2020-09-10 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-09-10_final
2020-09-21 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2020-09-21_final
2020-09-26 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2020-09-26_final
2020-10-03 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2020-10-03_final
2021-02-01 11:21:24	ga_s2bm_ard_3-2-1_52LBK_2021-02-01_final
2021-02-08 11:15:24	ga_s2bm_ard_3-2-1_51JYJ_2021-02-08_final
2021-02-17 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2021-02-17_final
2021-03-20 11:13:14	ga_s2bm_ard_3-2-1_52KEB_2021-03-20_final
2021-04-18 11:45:09	ga_s2bm_ard_3-2-1_51JTK_2021-04-18_final
2021-05-04 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2021-05-04_final
2021-05-15 11:36:13	ga_s2bm_ard_3-2-1_51JUF_2021-05-15_final
2021-05-24 12:03:52	ga_s2bm_ard_3-2-1_50KMA_2021-05-24_final
2021-05-26 11:04:56	ga_s2bm_ard_3-2-1_52JCR_2021-05-26_final
2021-06-04 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2021-06-04_final
2021-07-31 11:24:57	ga_s2bm_ard_3-2-1_51JXL_2021-07-31_final
2021-09-03 11:04:11	ga_s2bm_ard_3-2-1_52JFT_2021-09-03_final
2021-09-26 11:15:31	ga_s2bm_ard_3-2-1_52JCN_2021-09-26_final
2021-10-20 10:56:02	ga_s2bm_ard_3-2-1_52JFL_2021-10-20_final
2021-11-05 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2021-11-05_final
2021-11-09 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-11-09_final
2021-11-19 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2021-11-19_final
2022-01-04 11:12:50	ga_s2bm_ard_3-2-1_52KFC_2022-01-04_final
2022-01-27 11:23:19	ga_s2bm_ard_3-2-1_51KYS_2022-01-27_final
2022-02-27 10:55:45	ga_s2bm_ard_3-2-1_52JEM_2022-02-27_final
2022-04-14 11:16:08	ga_s2bm_ard_3-2-1_51JXF_2022-04-14_final
2022-04-16 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2022-04-16_final
2022-04-26 11:54:51	ga_s2bm_ard_3-2-1_50JLS_2022-04-26_final
2022-06-19 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2022-06-19_final
2022-08-01 11:45:51	ga_s2bm_ard_3-2-1_50JQN_2022-08-01_final
2022-08-31 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2022-08-31_final
2022-09-07 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2022-09-07_final.stac-item
2022-09-20 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2022-09-20_final.stac-item
2022-10-17 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2022-10-17_final.stac-item
2022-10-30 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2022-10-30_final.stac-item
2022-11-26 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2022-11-26_final.stac-item
2023-01-06 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2023-01-06_final.stac-item
2023-01-06 11:04:34	ga_s2bm_ard_3-2-1_52JDS_2023-01-06_final.stac-item
2023-01-28 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2023-01-28_final.stac-item
2023-01-28 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2023-01-28_final.stac-item
2023-02-11 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2023-02-11_final.stac-item
2023-02-22 10:53:46	ga_s2bm_ard_3-2-1_52KGV_2023-02-22_final.stac-item
2023-03-23 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2023-03-23_final.stac-item
2023-03-24 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2023-03-24_final.stac-item
2023-03-29 11:44:05	ga_s2bm_ard_3-2-1_50KRV_2023-03-29_final.stac-item
2023-04-12 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2023-04-12_final.stac-item
2023-05-12 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2023-05-12_final.stac-item
2023-06-07 11:45:22	ga_s2bm_ard_3-2-1_50JQQ_2023-06-07_final.stac-item
2023-07-15 11:04:55	ga_s2bm_ard_3-2-1_52JDR_2023-07-15_final.stac-item
2023-08-04 11:05:09	ga_s2bm_ard_3-2-1_52JDQ_2023-08-04_final.stac-item
2023-09-02 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-09-02_final.stac-item
2023-12-07 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2023-12-07_final.stac-item
2023-12-08 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2023-12-08_final.stac-item
2023-12-31 11:35:42	ga_s2bm_ard_3-2-1_51JVH_2023-12-31_final.stac-item
2024-01-21 11:03:01	ga_s2bm_ard_3-2-1_52KFC_2024-01-21_final.stac-item
2024-02-19 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2024-02-19_final.stac-item
2024-03-13 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2024-03-13_final.stac-item
2024-03-13 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2024-03-13_final.stac-item
2024-03-16 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2024-03-16_nrt.stac-item
2024-03-21 11:03:00	ga_s2bm_ard_3-2-1_52KEC_2024-03-21_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