Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_50HQJ_2017-09-03_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51KVV_2017-09-16_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53HNC_2017-10-22_final.stac-item
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_51KZP_2017-10-27_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_50JRT_2017-11-22_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52LDJ_2017-11-29_final.stac-item
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51JYH_2018-02-04_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51JUK_2018-02-10_final.stac-item
2018-04-10 10:17:03	ga_s2bm_ard_3-2-1_53HPC_2018-04-10_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KWP_2018-07-30_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KXR_2018-08-06_final.stac-item
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51LYD_2018-09-18_final.stac-item
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51HUC_2018-10-25_final.stac-item
2018-11-19 10:34:10	ga_s2bm_ard_3-2-1_53JNN_2018-11-19_final.stac-item
2018-11-24 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2018-11-24_final.stac-item
2018-12-12 10:41:31	ga_s2bm_ard_3-2-1_53LPC_2018-12-12_final
2019-01-30 11:12:50	ga_s2bm_ard_3-2-1_52KDD_2019-01-30_final.stac-item
2019-02-05 11:31:35	ga_s2bm_ard_3-2-1_51LZD_2019-02-05_final.stac-item
2019-02-06 11:00:43	ga_s2bm_ard_3-2-1_53LKG_2019-02-06_final.stac-item
2019-02-28 11:42:29	ga_s2bm_ard_3-2-1_51KUA_2019-02-28_final.stac-item
2019-03-02 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2019-03-02_final.stac-item
2019-03-04 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2019-03-04_final.stac-item
2019-03-09 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2019-03-09_final.stac-item
2019-03-31 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2019-03-31_final.stac-item
2019-05-02 11:56:12	ga_s2bm_ard_3-2-1_50JNM_2019-05-02_final.stac-item
2019-06-09 11:14:37	ga_s2bm_ard_3-2-1_51JYN_2019-06-09_final.stac-item
2019-07-11 10:17:01	ga_s2bm_ard_3-2-1_53HQB_2019-07-11_final.stac-item
2019-07-20 10:46:14	ga_s2bm_ard_3-2-1_53HME_2019-07-20_final.stac-item
2019-08-01 11:23:24	ga_s2bm_ard_3-2-1_52KCB_2019-08-01_final.stac-item
2019-08-16 12:15:26	ga_s2bm_ard_3-2-1_49JGK_2019-08-16_final.stac-item
2019-09-06 11:45:34	ga_s2bm_ard_3-2-1_50JQP_2019-09-06_final.stac-item
2019-09-19 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2019-09-19_final.stac-item
2019-10-09 10:17:06	ga_s2bm_ard_3-2-1_53HQA_2019-10-09_final.stac-item
2019-11-01 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-11-01_final.stac-item
2019-11-01 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-11-01_final.stac-item
2019-12-05 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2019-12-05_final.stac-item
2019-12-10 10:50:43	ga_s2bm_ard_3-2-1_53LPF_2019-12-10_final.stac-item
2019-12-16 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2019-12-16_final.stac-item
2020-01-20 10:26:06	ga_s2bm_ard_3-2-1_54HUJ_2020-01-20_final.stac-item
2020-03-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2020-03-14_final.stac-item
2020-03-30 10:24:49	ga_s2bm_ard_3-2-1_53JQK_2020-03-30_final.stac-item
2020-04-08 10:53:03	ga_s2bm_ard_3-2-1_53KMS_2020-04-08_final.stac-item
2020-04-28 10:55:12	ga_s2bm_ard_3-2-1_52JFP_2020-04-28_final.stac-item
2020-05-21 11:04:43	ga_s2bm_ard_3-2-1_52JFR_2020-05-21_final.stac-item
2020-05-24 11:13:52	ga_s2bm_ard_3-2-1_52KCV_2020-05-24_final.stac-item
2020-06-24 10:43:36	ga_s2bm_ard_3-2-1_53KPQ_2020-06-24_final.stac-item
2020-08-11 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2020-08-11_final.stac-item
2020-08-26 10:51:07	ga_s2bm_ard_3-2-1_53LPE_2020-08-26_final.stac-item
2020-09-13 10:16:51	ga_s2bm_ard_3-2-1_54HTG_2020-09-13_final.stac-item
2020-09-13 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2020-09-13_final.stac-item
2020-12-08 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-12-08_final.stac-item
2020-12-21 10:44:31	ga_s2bm_ard_3-2-1_53JNL_2020-12-21_final.stac-item
2021-02-05 11:00:58	ga_s2bm_ard_3-2-1_52LHL_2021-02-05_final.stac-item
2021-02-28 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2021-02-28_final.stac-item
2021-03-23 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2021-03-23_final.stac-item
2021-04-09 11:12:32	ga_s2bm_ard_3-2-1_52KDE_2021-04-09_final.stac-item
2021-04-17 10:36:17	ga_s2bm_ard_3-2-1_53HND_2021-04-17_final.stac-item
2021-04-20 10:44:30	ga_s2bm_ard_3-2-1_53JNL_2021-04-20_final.stac-item
2021-07-04 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2021-07-04_final.stac-item
2021-09-02 09:58:02	ga_s2bm_ard_3-2-1_54GYA_2021-09-02_final.stac-item
2021-11-18 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2021-11-18_final.stac-item
2022-01-13 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-01-13_final.stac-item
2022-02-03 11:11:45	ga_s2bm_ard_3-2-1_52KGG_2022-02-03_final.stac-item
2022-02-25 10:17:00	ga_s2bm_ard_3-2-1_53HQA_2022-02-25_final.stac-item
2022-03-23 10:36:56	ga_s2bm_ard_3-2-1_53HPA_2022-03-23_final.stac-item
2022-05-24 11:14:06	ga_s2bm_ard_3-2-1_52KCU_2022-05-24_final.stac-item
2022-05-30 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2022-05-30_final.stac-item
2022-06-17 10:55:46	ga_s2bm_ard_3-2-1_52JGM_2022-06-17_final.stac-item
2022-06-19 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2022-06-19_final.stac-item
2022-09-04 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2022-09-04_final.stac-item
2022-09-09 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2022-09-09_final.stac-item
2022-09-11 11:14:40	ga_s2bm_ard_3-2-1_52JBS_2022-09-11_final.stac-item
2022-09-23 10:16:53	ga_s2bm_ard_3-2-1_54HWF_2022-09-23_final.stac-item
2022-09-25 10:54:24	ga_s2bm_ard_3-2-1_53JLM_2022-09-25_final.stac-item
2022-10-30 10:07:10	ga_s2bm_ard_3-2-1_54HWE_2022-10-30_final.stac-item
2022-11-02 10:16:44	ga_s2bm_ard_3-2-1_54HUG_2022-11-02_final.stac-item
2022-11-23 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2022-11-23_final.stac-item
2022-12-06 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2022-12-06_final.stac-item
2022-12-08 10:33:49	ga_s2bm_ard_3-2-1_53JRN_2022-12-08_final.stac-item
2022-12-16 09:57:44	ga_s2bm_ard_3-2-1_54HWC_2022-12-16_final.stac-item
2023-01-02 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2023-01-02_final.stac-item
2023-01-27 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2023-01-27_final.stac-item
2023-01-29 11:12:21	ga_s2bm_ard_3-2-1_52KCF_2023-01-29_final.stac-item
2023-02-02 10:52:35	ga_s2bm_ard_3-2-1_53KMU_2023-02-02_final
2023-05-10 10:46:12	ga_s2bm_ard_3-2-1_53HLE_2023-05-10_final
2023-06-03 10:26:54	ga_s2bm_ard_3-2-1_53HPB_2023-06-03_final
2023-07-25 11:01:47	ga_s2bm_ard_3-2-1_53LKC_2023-07-25_final
2023-07-26 10:34:20	ga_s2bm_ard_3-2-1_53JRM_2023-07-26_final
2023-07-28 11:13:19	ga_s2bm_ard_3-2-1_52KBC_2023-07-28_final
2023-08-12 10:26:07	ga_s2bm_ard_3-2-1_54HTK_2023-08-12_final
2023-08-30 11:21:14	ga_s2bm_ard_3-2-1_52LBL_2023-08-30_nrt
2023-09-02 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-09-02_final
2023-10-27 10:44:22	ga_s2bm_ard_3-2-1_53JNM_2023-10-27_final
2023-11-14 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2023-11-14_final
2023-11-16 10:41:08	ga_s2bm_ard_3-2-1_53LPE_2023-11-16_final
2023-12-13 10:34:12	ga_s2bm_ard_3-2-1_53JRM_2023-12-13_final
2024-02-13 11:12:39	ga_s2bm_ard_3-2-1_52KCE_2024-02-13_final
2024-04-21 10:31:36	ga_s2bm_ard_3-2-1_53LRC_2024-04-21_nrt
2024-04-30 11:05:01	ga_s2bm_ard_3-2-1_52JEQ_2024-04-30_final
2024-05-15 10:17:13	ga_s2bm_ard_3-2-1_54HUE_2024-05-15_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years