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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51JVG_2017-07-12_final.stac-item
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVT_2017-07-18_final.stac-item
2017-09-08 10:43:00	ga_s2bm_ard_3-2-1_53KNP_2017-09-08_final.stac-item
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_50KKA_2017-09-15_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51LWC_2017-10-26_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KUT_2018-01-11_final.stac-item
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53KKS_2018-01-29_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KZB_2018-02-17_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HPH_2018-03-12_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQJ_2018-03-22_final.stac-item
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_52KBE_2018-03-29_final.stac-item
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49JFN_2018-05-03_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53JNM_2018-05-06_final.stac-item
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JKH_2018-05-26_final.stac-item
2018-06-09 10:26:11	ga_s2bm_ard_3-2-1_53HQB_2018-06-09_final.stac-item
2018-06-22 10:34:30	ga_s2bm_ard_3-2-1_53HNB_2018-06-22_final.stac-item
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52KBV_2018-07-04_final.stac-item
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KYS_2018-07-27_final.stac-item
2018-09-30 10:31:00	ga_s2bm_ard_3-2-1_53JNN_2018-09-30_final.stac-item
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KEB_2018-11-01_final.stac-item
2019-01-15 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2019-01-15_final.stac-item
2019-02-27 10:33:33	ga_s2bm_ard_3-2-1_53KQQ_2019-02-27_final.stac-item
2019-04-15 10:24:45	ga_s2bm_ard_3-2-1_53JQL_2019-04-15_final.stac-item
2019-05-22 11:55:11	ga_s2bm_ard_3-2-1_50JPR_2019-05-22_final.stac-item
2019-05-30 11:13:53	ga_s2bm_ard_3-2-1_52KEV_2019-05-30_final.stac-item
2019-07-22 11:23:51	ga_s2bm_ard_3-2-1_51KXR_2019-07-22_final.stac-item
2019-07-25 11:34:33	ga_s2bm_ard_3-2-1_51JWN_2019-07-25_final.stac-item
2019-08-14 11:36:09	ga_s2bm_ard_3-2-1_51JTG_2019-08-14_final.stac-item
2019-08-18 11:10:31	ga_s2bm_ard_3-2-1_52LHN_2019-08-18_final.stac-item
2019-08-25 11:06:29	ga_s2bm_ard_3-2-1_52HBK_2019-08-25_final.stac-item
2019-10-11 10:54:39	ga_s2bm_ard_3-2-1_53JLL_2019-10-11_final.stac-item
2019-11-23 11:03:44	ga_s2bm_ard_3-2-1_52KEV_2019-11-23_final.stac-item
2020-01-17 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2020-01-17_final.stac-item
2020-02-10 11:34:27	ga_s2bm_ard_3-2-1_51JUN_2020-02-10_final.stac-item
2020-02-13 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2020-02-13_final.stac-item
2020-02-19 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2020-02-19_final.stac-item
2020-03-07 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2020-03-07_final.stac-item
2020-04-23 11:46:36	ga_s2bm_ard_3-2-1_50HQJ_2020-04-23_final.stac-item
2020-05-13 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2020-05-13_final.stac-item
2020-05-17 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2020-05-17_final.stac-item
2020-05-27 11:21:42	ga_s2bm_ard_3-2-1_52LDH_2020-05-27_final.stac-item
2020-06-21 10:35:51	ga_s2bm_ard_3-2-1_53JPF_2020-06-21_final.stac-item
2020-06-23 11:11:04	ga_s2bm_ard_3-2-1_52LFL_2020-06-23_final.stac-item
2020-07-20 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2020-07-20_final.stac-item
2020-08-04 11:55:09	ga_s2bm_ard_3-2-1_50JNR_2020-08-04_final.stac-item
2020-08-15 11:22:30	ga_s2bm_ard_3-2-1_51KYA_2020-08-15_final.stac-item
2020-09-09 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-09-09_final.stac-item
2020-09-11 11:13:54	ga_s2bm_ard_3-2-1_52KCV_2020-09-11_final.stac-item
2020-10-26 10:27:04	ga_s2bm_ard_3-2-1_53HQA_2020-10-26_final.stac-item
2020-11-26 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2020-11-26_final.stac-item
2020-12-26 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2020-12-26_final.stac-item
2021-03-01 10:41:44	ga_s2bm_ard_3-2-1_53KRB_2021-03-01_final
2021-03-18 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2021-03-18_final.stac-item
2021-03-21 10:45:13	ga_s2bm_ard_3-2-1_53JKJ_2021-03-21_final.stac-item
2021-03-24 10:52:44	ga_s2bm_ard_3-2-1_53KNT_2021-03-24_final.stac-item
2021-04-11 10:17:01	ga_s2bm_ard_3-2-1_53HQA_2021-04-11_final.stac-item
2021-05-05 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2021-05-05_final.stac-item
2021-05-27 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-05-27_final.stac-item
2021-07-29 10:43:00	ga_s2bm_ard_3-2-1_53KMT_2021-07-29_final.stac-item
2021-09-17 10:44:53	ga_s2bm_ard_3-2-1_53JLK_2021-09-17_final.stac-item
2021-10-11 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2021-10-11_final.stac-item
2021-10-21 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-10-21_final.stac-item
2021-10-31 10:26:23	ga_s2bm_ard_3-2-1_53HPD_2021-10-31_final.stac-item
2021-11-01 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-11-01_final.stac-item
2021-11-08 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2021-11-08_final.stac-item
2021-11-09 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2021-11-09_final.stac-item
2021-11-25 11:15:03	ga_s2bm_ard_3-2-1_52JBQ_2021-11-25_final.stac-item
2021-12-03 10:36:12	ga_s2bm_ard_3-2-1_53HLE_2021-12-03_final.stac-item
2021-12-25 11:13:21	ga_s2bm_ard_3-2-1_52KBB_2021-12-25_final.stac-item
2022-01-09 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2022-01-09_final.stac-item
2022-02-18 12:04:50	ga_s2bm_ard_3-2-1_49JHM_2022-02-18_final.stac-item
2022-02-23 11:10:24	ga_s2bm_ard_3-2-1_52LGN_2022-02-23_final.stac-item
2022-03-05 11:15:15	ga_s2bm_ard_3-2-1_52JCP_2022-03-05_final.stac-item
2022-05-24 11:15:12	ga_s2bm_ard_3-2-1_52JDP_2022-05-24_final.stac-item
2022-06-09 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2022-06-09_final.stac-item
2022-06-10 11:02:46	ga_s2bm_ard_3-2-1_52KFD_2022-06-10_final.stac-item
2022-06-18 10:26:44	ga_s2bm_ard_3-2-1_53HNC_2022-06-18_final.stac-item
2022-08-11 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2022-08-11_final.stac-item
2022-09-01 11:16:32	ga_s2bm_ard_3-2-1_51HWE_2022-09-01_final.stac-item
2022-09-04 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2022-09-04_final.stac-item
2022-09-16 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2022-09-16_final.stac-item
2022-10-28 11:03:34	ga_s2bm_ard_3-2-1_52KFA_2022-10-28_final.stac-item
2022-12-28 10:33:34	ga_s2bm_ard_3-2-1_53KQQ_2022-12-28_final.stac-item
2023-02-04 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2023-02-04_final.stac-item
2023-03-28 10:35:12	ga_s2bm_ard_3-2-1_53JNJ_2023-03-28_final
2023-04-23 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2023-04-23_final
2023-05-02 11:21:52	ga_s2bm_ard_3-2-1_52LCH_2023-05-02_final
2023-05-04 10:24:25	ga_s2bm_ard_3-2-1_53JRM_2023-05-04_final
2023-05-05 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2023-05-05_final
2023-06-04 11:31:39	ga_s2bm_ard_3-2-1_51LZD_2023-06-04_final
2023-06-20 11:53:54	ga_s2bm_ard_3-2-1_50KPA_2023-06-20_final
2023-08-10 11:23:55	ga_s2bm_ard_3-2-1_52KBV_2023-08-10_final
2023-08-20 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2023-08-20_final
2023-10-28 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2023-10-28_final
2023-12-11 11:31:05	ga_s2bm_ard_3-2-1_52LBL_2023-12-11_nrt
2023-12-27 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2023-12-27_final
2024-01-03 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2024-01-03_final
2024-02-19 11:31:06	ga_s2bm_ard_3-2-1_52LBL_2024-02-19_nrt
2024-03-02 10:36:56	ga_s2bm_ard_3-2-1_53HPA_2024-03-02_final
2024-04-09 11:36:17	ga_s2bm_ard_3-2-1_51JTF_2024-04-09_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

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