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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51JXH_2017-08-28_final.stac-item
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JZM_2017-11-06_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51HUD_2018-01-31_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KEC_2018-02-01_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52KBV_2018-02-17_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51HTD_2018-02-20_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HMK_2018-03-25_final.stac-item
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_52JGP_2018-06-08_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51HUD_2018-06-27_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JNM_2018-10-14_final.stac-item
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52JCR_2018-10-19_final.stac-item
2018-10-23 10:41:55	ga_s2bm_ard_3-2-1_52JGL_2018-10-23_final.stac-item
2018-11-12 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2018-11-12_final.stac-item
2018-12-06 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2018-12-06_final.stac-item
2018-12-17 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2018-12-17_final.stac-item
2019-01-06 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2019-01-06_final.stac-item
2019-03-18 11:05:36	ga_s2bm_ard_3-2-1_52JCN_2019-03-18_final.stac-item
2019-04-12 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2019-04-12_final.stac-item
2019-04-30 11:16:44	ga_s2bm_ard_3-2-1_51HYD_2019-04-30_final.stac-item
2019-06-08 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-08_final.stac-item
2019-07-04 12:05:22	ga_s2bm_ard_3-2-1_49JGL_2019-07-04_final.stac-item
2019-07-12 11:25:36	ga_s2bm_ard_3-2-1_51JWJ_2019-07-12_final.stac-item
2019-07-24 12:04:27	ga_s2bm_ard_3-2-1_49KGQ_2019-07-24_final.stac-item
2019-12-25 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2019-12-25_final.stac-item
2020-01-18 11:23:29	ga_s2bm_ard_3-2-1_51KZR_2020-01-18_final.stac-item
2020-01-19 10:53:08	ga_s2bm_ard_3-2-1_52KHB_2020-01-19_final.stac-item
2020-02-17 11:24:40	ga_s2bm_ard_3-2-1_51JWM_2020-02-17_final.stac-item
2020-02-17 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2020-02-17_final.stac-item
2020-06-22 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-06-22_final.stac-item
2020-07-13 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2020-07-13_final.stac-item
2020-08-16 10:56:00	ga_s2bm_ard_3-2-1_52JGL_2020-08-16_final.stac-item
2020-09-17 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2020-09-17_final.stac-item
2020-09-26 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2020-09-26_final.stac-item
2020-11-07 11:03:00	ga_s2bm_ard_3-2-1_52KGC_2020-11-07_final.stac-item
2020-11-20 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2020-11-20_final.stac-item
2020-11-23 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2020-11-23_final.stac-item
2020-11-23 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2020-11-23_final.stac-item
2020-12-26 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2020-12-26_final.stac-item
2021-01-03 10:54:25	ga_s2bm_ard_3-2-1_52JHS_2021-01-03_final.stac-item
2021-01-22 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2021-01-22_final.stac-item
2021-02-03 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2021-02-03_final.stac-item
2021-02-18 11:15:40	ga_s2bm_ard_3-2-1_51JXH_2021-02-18_final.stac-item
2021-03-03 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2021-03-03_final.stac-item
2021-03-03 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2021-03-03_final.stac-item
2021-03-03 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2021-03-03_final.stac-item
2021-03-12 11:53:59	ga_s2bm_ard_3-2-1_50KNA_2021-03-12_final.stac-item
2021-03-26 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2021-03-26_final.stac-item
2021-05-19 11:12:42	ga_s2bm_ard_3-2-1_52KFD_2021-05-19_final.stac-item
2021-06-11 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2021-06-11_final.stac-item
2021-06-20 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-06-20_final.stac-item
2021-06-22 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2021-06-22_final.stac-item
2021-07-04 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2021-07-04_final.stac-item
2021-07-27 11:44:33	ga_s2bm_ard_3-2-1_51JTN_2021-07-27_final.stac-item
2021-07-27 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2021-07-27_final.stac-item
2021-08-22 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2021-08-22_final.stac-item
2021-09-01 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-09-01_final.stac-item
2021-10-09 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2021-10-09_final.stac-item
2021-10-10 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2021-10-10_final.stac-item
2021-10-16 11:14:36	ga_s2bm_ard_3-2-1_52JCS_2021-10-16_final.stac-item
2021-10-18 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-10-18_final.stac-item
2022-01-27 11:22:57	ga_s2bm_ard_3-2-1_52KCC_2022-01-27_final.stac-item
2022-02-02 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-02-02_final.stac-item
2022-02-03 11:16:14	ga_s2bm_ard_3-2-1_52HBK_2022-02-03_final.stac-item
2022-02-06 11:21:44	ga_s2bm_ard_3-2-1_52LCH_2022-02-06_final.stac-item
2022-03-10 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-03-10_final.stac-item
2022-03-18 11:22:32	ga_s2bm_ard_3-2-1_51KZV_2022-03-18_final.stac-item
2022-03-27 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2022-03-27_final.stac-item
2022-05-13 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2022-05-13_final.stac-item
2022-05-30 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2022-05-30_final.stac-item
2022-07-09 11:31:23	ga_s2bm_ard_3-2-1_52LBK_2022-07-09_final.stac-item
2022-07-21 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2022-07-21_final.stac-item
2022-08-01 11:45:48	ga_s2bm_ard_3-2-1_51JTH_2022-08-01_final.stac-item
2022-08-22 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2022-08-22_final.stac-item
2022-08-29 11:03:06	ga_s2bm_ard_3-2-1_52KEC_2022-08-29_final.stac-item
2022-09-20 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2022-09-20_final.stac-item
2022-09-30 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2022-09-30_final.stac-item
2022-09-30 13:21:44	ga_s2bm_ard_3-2-1_46LHM_2022-09-30_interim
2022-10-01 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2022-10-01_final.stac-item
2022-10-17 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2022-10-17_final.stac-item
2022-11-24 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-11-24_final.stac-item
2023-01-02 11:21:49	ga_s2bm_ard_3-2-1_52LCH_2023-01-02_final.stac-item
2023-01-05 11:31:04	ga_s2bm_ard_3-2-1_51LZF_2023-01-05_nrt.stac-item
2023-01-21 11:53:29	ga_s2bm_ard_3-2-1_50KQB_2023-01-21_final.stac-item
2023-02-21 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2023-02-21_final
2023-03-26 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2023-03-26_final
2023-04-27 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2023-04-27_final
2023-05-01 11:54:07	ga_s2bm_ard_3-2-1_50KPV_2023-05-01_final
2023-05-05 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2023-05-05_final
2023-06-21 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2023-06-21_final
2023-07-05 11:04:30	ga_s2bm_ard_3-2-1_52JGS_2023-07-05_final
2023-08-04 11:05:21	ga_s2bm_ard_3-2-1_52JEP_2023-08-04_final
2023-10-05 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2023-10-05_final
2023-10-28 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2023-10-28_final
2023-11-28 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2023-11-28_final
2023-11-29 10:54:26	ga_s2bm_ard_3-2-1_52JGS_2023-11-29_final
2023-12-18 11:26:22	ga_s2bm_ard_3-2-1_51HXE_2023-12-18_final
2024-01-10 11:32:35	ga_s2bm_ard_3-2-1_51KYV_2024-01-10_final
2024-01-21 11:02:39	ga_s2bm_ard_3-2-1_52KHD_2024-01-21_final
2024-01-24 11:16:33	ga_s2bm_ard_3-2-1_52HBJ_2024-01-24_interim.stac-item
2024-03-10 11:35:43	ga_s2bm_ard_3-2-1_51JTH_2024-03-10_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