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
2017-07-27 12:13:43	ga_s2bm_ard_3-2-1_49KGR_2017-07-27_final.stac-item
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JLR_2017-08-13_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HXD_2017-11-19_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_50KKB_2017-11-24_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50KQU_2017-12-05_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWN_2017-12-29_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51LWC_2018-01-11_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXV_2018-01-31_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JWG_2018-02-17_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HQK_2018-03-15_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51JYG_2018-03-26_final.stac-item
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KYU_2018-03-29_final.stac-item
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51KZQ_2018-04-18_final.stac-item
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51JWJ_2018-05-08_final.stac-item
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JLM_2018-05-10_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KXQ_2018-06-07_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KYR_2018-06-07_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KZT_2018-06-27_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HUE_2018-10-18_final.stac-item
2018-11-09 12:14:16	ga_s2bm_ard_3-2-1_50KKU_2018-11-09_final.stac-item
2018-11-14 11:26:33	ga_s2bm_ard_3-2-1_51HXD_2018-11-14_final.stac-item
2018-12-17 11:35:39	ga_s2bm_ard_3-2-1_51JUH_2018-12-17_final.stac-item
2019-02-05 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2019-02-05_final.stac-item
2019-03-16 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-03-16_final.stac-item
2019-03-26 12:03:38	ga_s2bm_ard_3-2-1_50KMB_2019-03-26_final.stac-item
2019-06-08 11:46:27	ga_s2bm_ard_3-2-1_50JPL_2019-06-08_final.stac-item
2019-07-04 12:05:35	ga_s2bm_ard_3-2-1_50JKQ_2019-07-04_final.stac-item
2019-07-05 11:33:43	ga_s2bm_ard_3-2-1_51KUS_2019-07-05_final.stac-item
2019-08-17 11:43:50	ga_s2bm_ard_3-2-1_51KUR_2019-08-17_final.stac-item
2019-09-02 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2019-09-02_final.stac-item
2019-09-10 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2019-09-10_final.stac-item
2019-09-19 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2019-09-19_final.stac-item
2020-01-08 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2020-01-08_final.stac-item
2020-02-12 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-02-12_final.stac-item
2020-02-24 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2020-02-24_final.stac-item
2020-02-29 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-02-29_final.stac-item
2020-03-14 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2020-03-14_final.stac-item
2020-04-07 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2020-04-07_final.stac-item
2020-04-24 11:16:31	ga_s2bm_ard_3-2-1_51HYD_2020-04-24_final.stac-item
2020-06-12 11:45:09	ga_s2bm_ard_3-2-1_50JPR_2020-06-12_final.stac-item
2020-08-11 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2020-08-11_final.stac-item
2020-08-11 11:46:12	ga_s2bm_ard_3-2-1_50JNM_2020-08-11_final.stac-item
2020-08-18 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-08-18_final.stac-item
2020-10-17 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2020-10-17_final.stac-item
2020-12-17 11:06:06	ga_s2bm_ard_3-2-1_52JBL_2020-12-17_final.stac-item
2020-12-20 11:14:19	ga_s2bm_ard_3-2-1_51JZN_2020-12-20_final.stac-item
2020-12-26 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2020-12-26_final.stac-item
2021-01-01 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-01-01_final.stac-item
2021-02-01 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2021-02-01_final.stac-item
2021-02-04 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2021-02-04_final.stac-item
2021-02-04 11:36:13	ga_s2bm_ard_3-2-1_51JUF_2021-02-04_final.stac-item
2021-02-06 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-02-06_final.stac-item
2021-02-11 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2021-02-11_final.stac-item
2021-02-11 11:24:31	ga_s2bm_ard_3-2-1_51JZM_2021-02-11_final.stac-item
2021-02-14 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2021-02-14_final.stac-item
2021-03-12 11:54:00	ga_s2bm_ard_3-2-1_50KNV_2021-03-12_final.stac-item
2021-03-26 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2021-03-26_final.stac-item
2021-05-04 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-05-04_final.stac-item
2021-05-14 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-05-14_final.stac-item
2021-06-20 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-06-20_final.stac-item
2021-06-27 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-06-27_final.stac-item
2021-08-06 11:43:23	ga_s2bm_ard_3-2-1_51KUT_2021-08-06_final.stac-item
2021-08-10 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2021-08-10_final.stac-item
2021-10-05 11:46:26	ga_s2bm_ard_3-2-1_50JML_2021-10-05_final.stac-item
2021-11-21 11:35:24	ga_s2bm_ard_3-2-1_51JVJ_2021-11-21_final.stac-item
2022-01-07 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2022-01-07_final.stac-item
2022-01-30 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2022-01-30_final.stac-item
2022-02-12 11:44:39	ga_s2bm_ard_3-2-1_50JRS_2022-02-12_final.stac-item
2022-03-24 11:44:35	ga_s2bm_ard_3-2-1_50JPT_2022-03-24_final.stac-item
2022-03-30 12:03:34	ga_s2bm_ard_3-2-1_50KMB_2022-03-30_final.stac-item
2022-04-14 11:16:37	ga_s2bm_ard_3-2-1_51HXD_2022-04-14_final.stac-item
2022-04-27 11:22:35	ga_s2bm_ard_3-2-1_51KYV_2022-04-27_final.stac-item
2022-04-27 11:24:44	ga_s2bm_ard_3-2-1_51JYL_2022-04-27_final.stac-item
2022-05-17 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2022-05-17_final.stac-item
2022-05-23 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2022-05-23_final.stac-item
2022-06-16 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2022-06-16_final.stac-item
2022-06-19 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2022-06-19_final.stac-item
2022-06-19 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-06-19_final.stac-item
2022-07-29 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2022-07-29_final.stac-item
2022-08-01 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-08-01_final.stac-item
2022-09-07 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2022-09-07_final.stac-item
2022-09-19 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2022-09-19_final.stac-item
2022-10-01 11:15:56	ga_s2bm_ard_3-2-1_51JXG_2022-10-01_final.stac-item
2022-11-06 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2022-11-06_final.stac-item
2022-11-23 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2022-11-23_final.stac-item
2023-01-02 11:22:40	ga_s2bm_ard_3-2-1_51KYV_2023-01-02_final.stac-item
2023-01-09 11:16:31	ga_s2bm_ard_3-2-1_52HBJ_2023-01-09_nrt.stac-item
2023-02-24 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2023-02-24_final
2023-03-26 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-03-26_final
2023-08-03 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2023-08-03_final
2023-09-06 11:16:48	ga_s2bm_ard_3-2-1_51HWD_2023-09-06_final
2023-10-18 11:57:15	ga_s2bm_ard_3-2-1_50HKH_2023-10-18_nrt
2023-11-28 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2023-11-28_final
2023-12-22 11:06:34	ga_s2bm_ard_3-2-1_52HBJ_2023-12-22_nrt
2024-01-23 11:44:01	ga_s2bm_ard_3-2-1_50KRV_2024-01-23_final
2024-02-25 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2024-02-25_final
2024-03-07 11:24:06	ga_s2bm_ard_3-2-1_51KXP_2024-03-07_final
2024-04-22 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2024-04-22_final
2024-04-25 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2024-04-25_final
2024-05-09 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2024-05-09_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