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_52JGQ_2017-08-02_final
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_50JQL_2017-08-14_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HNH_2017-10-26_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JWF_2017-11-09_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JDR_2018-01-12_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JNQ_2018-01-14_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50KQG_2018-01-27_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXT_2018-02-20_final
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_52JGL_2018-02-25_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JMN_2018-02-26_final
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KEB_2018-05-05_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2018-05-11_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KYS_2018-05-28_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KPA_2018-06-06_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KXR_2018-06-07_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HMH_2018-07-16_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KXS_2018-08-06_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KYS_2018-08-06_final
2018-11-11 11:14:44	ga_s2bm_ard_3-2-1_52JDR_2018-11-11_final
2019-02-12 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2019-02-12_final
2019-02-13 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2019-02-13_final
2019-03-16 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-03-16_final
2019-03-24 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2019-03-24_final
2019-04-12 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2019-04-12_final
2019-05-26 11:34:50	ga_s2bm_ard_3-2-1_51JWM_2019-05-26_final
2019-06-08 11:44:27	ga_s2bm_ard_3-2-1_50KQU_2019-06-08_final
2019-07-02 11:23:15	ga_s2bm_ard_3-2-1_51KZT_2019-07-02_final
2019-07-04 12:05:35	ga_s2bm_ard_3-2-1_50JKQ_2019-07-04_final
2019-07-29 11:13:16	ga_s2bm_ard_3-2-1_52KCC_2019-07-29_final
2019-12-16 11:14:41	ga_s2bm_ard_3-2-1_52JDR_2019-12-16_final
2019-12-29 11:24:27	ga_s2bm_ard_3-2-1_52JBS_2019-12-29_final
2020-02-20 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2020-02-20_final
2020-02-20 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2020-02-20_final
2020-03-02 11:02:13	ga_s2bm_ard_3-2-1_52KGF_2020-03-02_final
2020-03-08 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2020-03-08_final
2020-04-19 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2020-04-19_final
2020-04-20 11:34:24	ga_s2bm_ard_3-2-1_51JVN_2020-04-20_final
2020-05-09 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2020-05-09_final
2020-05-31 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2020-05-31_final
2020-06-12 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2020-06-12_final
2020-06-12 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-06-12_final
2020-06-22 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-06-22_final
2020-07-13 11:16:04	ga_s2bm_ard_3-2-1_52JCL_2020-07-13_final
2020-07-16 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2020-07-16_final
2020-08-01 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2020-08-01_final
2020-09-04 11:23:09	ga_s2bm_ard_3-2-1_52KBC_2020-09-04_final
2020-12-04 10:54:46	ga_s2bm_ard_3-2-1_52JFR_2020-12-04_final
2020-12-10 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2020-12-10_final
2021-02-18 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2021-02-18_final
2021-03-19 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-03-19_final
2021-03-27 11:04:35	ga_s2bm_ard_3-2-1_52JDS_2021-03-27_final
2021-05-05 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2021-05-05_final
2021-05-29 11:13:16	ga_s2bm_ard_3-2-1_52KEB_2021-05-29_final
2021-07-04 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-07-04_final
2021-08-26 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2021-08-26_final
2021-11-18 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2021-11-18_final
2021-12-28 11:21:21	ga_s2bm_ard_3-2-1_51LZE_2021-12-28_final
2022-01-31 11:03:11	ga_s2bm_ard_3-2-1_52KFB_2022-01-31_final
2022-02-03 11:15:57	ga_s2bm_ard_3-2-1_52JCL_2022-02-03_final
2022-02-12 11:45:08	ga_s2bm_ard_3-2-1_51JTK_2022-02-12_final
2022-03-18 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2022-03-18_final
2022-03-28 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2022-03-28_final
2022-04-09 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-04-09_final
2022-04-14 11:13:41	ga_s2bm_ard_3-2-1_52KEV_2022-04-14_final
2022-04-17 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2022-04-17_final
2022-05-23 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2022-05-23_final
2022-06-10 11:03:56	ga_s2bm_ard_3-2-1_52KDV_2022-06-10_final
2022-06-19 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2022-06-19_final
2022-07-16 11:23:11	ga_s2bm_ard_3-2-1_51KZT_2022-07-16_final
2022-07-19 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2022-07-19_final
2022-07-29 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2022-07-29_final
2022-08-31 11:44:21	ga_s2bm_ard_3-2-1_50KQU_2022-08-31_final
2022-09-04 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2022-09-04_final.stac-item
2022-10-01 11:14:49	ga_s2bm_ard_3-2-1_52JCR_2022-10-01_final.stac-item
2022-10-10 11:45:42	ga_s2bm_ard_3-2-1_51JTH_2022-10-10_final.stac-item
2022-11-23 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2022-11-23_final.stac-item
2022-12-14 10:53:30	ga_s2bm_ard_3-2-1_52KGA_2022-12-14_final.stac-item
2023-01-02 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2023-01-02_final.stac-item
2023-01-18 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2023-01-18_final.stac-item
2023-01-28 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2023-01-28_final.stac-item
2023-02-21 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2023-02-21_final.stac-item
2023-04-04 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2023-04-04_final.stac-item
2023-04-12 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2023-04-12_final.stac-item
2023-04-24 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-04-24_final.stac-item
2023-05-25 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2023-05-25_final.stac-item
2023-06-27 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-06-27_final.stac-item
2023-07-18 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2023-07-18_final.stac-item
2023-08-02 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2023-08-02_final.stac-item
2023-08-04 11:05:09	ga_s2bm_ard_3-2-1_52JDQ_2023-08-04_final.stac-item
2023-08-09 11:55:52	ga_s2bm_ard_3-2-1_50JKP_2023-08-09_final.stac-item
2023-09-05 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-09-05_final.stac-item
2023-11-21 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2023-11-21_final.stac-item
2024-01-17 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2024-01-17_final.stac-item
2024-02-16 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2024-02-16_final.stac-item
2024-02-29 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2024-02-29_final.stac-item
2024-03-07 11:25:55	ga_s2bm_ard_3-2-1_51JVG_2024-03-07_final.stac-item
2024-03-13 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2024-03-13_final.stac-item
2024-03-14 11:16:32	ga_s2bm_ard_3-2-1_52HBJ_2024-03-14_nrt.stac-item
2024-03-24 11:13:05	ga_s2bm_ard_3-2-1_52KDC_2024-03-24_final.stac-item
2024-05-02 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2024-05-02_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