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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JPQ_2017-08-20_final.stac-item
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JPR_2017-08-20_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPS_2017-08-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQT_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPP_2017-09-09_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPT_2017-09-09_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JQT_2017-11-08_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50KMA_2017-11-11_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JPQ_2017-11-28_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-12-11_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_50KKA_2017-12-14_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JMP_2017-12-18_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNM_2017-12-18_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KLU_2017-12-18_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HLK_2018-06-16_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_50JRT_2018-08-22_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLK_2018-10-24_final.stac-item
2018-11-23 11:55:17	ga_s2bm_ard_3-2-1_50JNQ_2018-11-23_final.stac-item
2018-11-26 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2018-11-26_final.stac-item
2018-11-27 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2018-11-27_final.stac-item
2018-11-29 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2018-11-29_final.stac-item
2018-11-29 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2018-11-29_final.stac-item
2018-12-06 12:04:43	ga_s2bm_ard_3-2-1_50JMS_2018-12-06_final.stac-item
2018-12-09 12:14:02	ga_s2bm_ard_3-2-1_50KKV_2018-12-09_final.stac-item
2018-12-09 12:14:13	ga_s2bm_ard_3-2-1_50KKU_2018-12-09_final.stac-item
2018-12-09 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2018-12-09_final.stac-item
2018-12-10 11:44:57	ga_s2bm_ard_3-2-1_50JQR_2018-12-10_final.stac-item
2018-12-16 12:04:04	ga_s2bm_ard_3-2-1_50KLV_2018-12-16_final.stac-item
2018-12-27 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2018-12-27_final.stac-item
2018-12-29 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2018-12-29_final.stac-item
2018-12-30 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2018-12-30_final.stac-item
2019-01-05 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2019-01-05_final.stac-item
2019-01-12 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2019-01-12_final.stac-item
2019-01-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-01-18_final.stac-item
2019-01-29 11:45:36	ga_s2bm_ard_3-2-1_50JPP_2019-01-29_final.stac-item
2019-01-29 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2019-01-29_final.stac-item
2019-01-29 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2019-01-29_final.stac-item
2019-01-29 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-01-29_final.stac-item
2019-02-07 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-02-07_final.stac-item
2019-03-10 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2019-03-10_final.stac-item
2019-04-29 11:45:47	ga_s2bm_ard_3-2-1_50JNP_2019-04-29_final.stac-item
2019-05-22 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-05-22_final.stac-item
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final.stac-item
2019-06-08 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-06-08_final.stac-item
2019-07-18 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-07-18_final.stac-item
2019-08-13 12:05:44	ga_s2bm_ard_3-2-1_50JLP_2019-08-13_final.stac-item
2019-10-06 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2019-10-06_final.stac-item
2019-10-29 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2019-10-29_final.stac-item
2019-11-08 11:53:56	ga_s2bm_ard_3-2-1_50KMA_2019-11-08_final.stac-item
2019-11-18 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2019-11-18_final.stac-item
2019-12-01 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-01_final.stac-item
2019-12-15 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2019-12-15_final.stac-item
2020-01-23 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2020-01-23_final.stac-item
2020-01-27 11:54:16	ga_s2bm_ard_3-2-1_50JQT_2020-01-27_final.stac-item
2020-01-30 12:03:51	ga_s2bm_ard_3-2-1_50KKA_2020-01-30_final.stac-item
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-30_final.stac-item
2020-06-12 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-06-12_final.stac-item
2020-07-22 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2020-07-22_final.stac-item
2020-07-22 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2020-07-22_final.stac-item
2020-09-06 12:04:09	ga_s2bm_ard_3-2-1_50KKA_2020-09-06_final.stac-item
2020-10-19 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-10-19_final.stac-item
2020-11-12 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2020-11-12_final.stac-item
2020-12-19 11:45:07	ga_s2bm_ard_3-2-1_50JNR_2020-12-19_final.stac-item
2020-12-22 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2020-12-22_final.stac-item
2020-12-25 12:03:35	ga_s2bm_ard_3-2-1_50KMB_2020-12-25_final.stac-item
2020-12-25 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2020-12-25_final.stac-item
2021-01-07 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-01-07_final.stac-item
2021-01-24 12:03:52	ga_s2bm_ard_3-2-1_50KMA_2021-01-24_final.stac-item
2021-01-27 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-01-27_final.stac-item
2021-02-23 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2021-02-23_final.stac-item
2021-02-23 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-02-23_final.stac-item
2021-03-12 11:54:01	ga_s2bm_ard_3-2-1_50KMA_2021-03-12_final.stac-item
2021-05-18 11:46:00	ga_s2bm_ard_3-2-1_50JNN_2021-05-18_final.stac-item
2021-06-07 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-06-07_final.stac-item
2021-06-10 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-06-10_final.stac-item
2021-06-30 11:53:57	ga_s2bm_ard_3-2-1_50KMA_2021-06-30_final.stac-item
2021-06-30 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2021-06-30_final.stac-item
2021-06-30 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2021-06-30_final.stac-item
2021-07-16 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-16_final.stac-item
2021-07-17 11:44:33	ga_s2bm_ard_3-2-1_50JRT_2021-07-17_final.stac-item
2021-07-17 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2021-07-17_final.stac-item
2021-08-06 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-08-06_final.stac-item
2021-08-19 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2021-08-19_final.stac-item
2021-11-14 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-11-14_final.stac-item
2021-12-04 11:45:16	ga_s2bm_ard_3-2-1_50JPQ_2021-12-04_final.stac-item
2021-12-07 11:54:46	ga_s2bm_ard_3-2-1_50JNS_2021-12-07_final.stac-item
2022-03-24 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2022-03-24_final.stac-item
2022-09-09 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2022-09-09_final.stac-item
2023-01-08 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2023-01-08_final
2023-01-11 11:55:16	ga_s2bm_ard_3-2-1_50JNQ_2023-01-11_final.stac-item
2023-01-11 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2023-01-11_final.stac-item
2023-01-11 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2023-01-11_final.stac-item
2023-01-11 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2023-01-11_final
2023-01-21 11:54:31	ga_s2bm_ard_3-2-1_50JPT_2023-01-21_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-01-24_final.stac-item
2023-02-27 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2023-02-27_final
2023-02-27 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2023-02-27_final
2023-02-27 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2023-02-27_final
2023-05-05 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2023-05-05_final
2023-07-24 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-07-24_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

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