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
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_52KBA_2017-11-19_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KVV_2017-12-02_final.stac-item
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51KXR_2018-03-09_final.stac-item
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KZT_2018-03-19_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KVU_2018-04-01_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KUV_2018-04-24_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVU_2018-05-11_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51HTC_2018-06-10_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52KBA_2018-06-17_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KVS_2018-07-03_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51KVT_2018-08-12_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JPL_2018-09-01_final.stac-item
2019-01-06 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2019-01-06_final.stac-item
2019-02-13 10:55:42	ga_s2bm_ard_3-2-1_52JGM_2019-02-13_final.stac-item
2019-02-15 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2019-02-15_final.stac-item
2019-03-27 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2019-03-27_final.stac-item
2019-04-17 11:03:25	ga_s2bm_ard_3-2-1_52KEB_2019-04-17_final.stac-item
2019-04-26 11:33:45	ga_s2bm_ard_3-2-1_51KXR_2019-04-26_final.stac-item
2019-05-05 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-05-05_final.stac-item
2019-05-16 11:33:07	ga_s2bm_ard_3-2-1_51KWU_2019-05-16_final.stac-item
2019-06-19 11:13:12	ga_s2bm_ard_3-2-1_52KCC_2019-06-19_final.stac-item
2019-08-04 11:34:04	ga_s2bm_ard_3-2-1_51KWQ_2019-08-04_final.stac-item
2019-08-24 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2019-08-24_final.stac-item
2019-09-07 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2019-09-07_final.stac-item
2019-10-20 11:22:53	ga_s2bm_ard_3-2-1_52KBD_2019-10-20_final.stac-item
2019-11-22 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2019-11-22_final.stac-item
2019-12-19 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2019-12-19_final.stac-item
2019-12-28 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2019-12-28_final.stac-item
2020-01-09 10:55:26	ga_s2bm_ard_3-2-1_52JFN_2020-01-09_final.stac-item
2020-03-09 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2020-03-09_final.stac-item
2020-03-24 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2020-03-24_final.stac-item
2020-04-17 11:23:45	ga_s2bm_ard_3-2-1_51KZQ_2020-04-17_final.stac-item
2020-05-10 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2020-05-10_final.stac-item
2020-06-11 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-06-11_final.stac-item
2020-06-16 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2020-06-16_final.stac-item
2020-06-22 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2020-06-22_final.stac-item
2020-06-29 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-29_final.stac-item
2020-07-02 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2020-07-02_final.stac-item
2020-08-08 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2020-08-08_final.stac-item
2020-08-15 11:22:59	ga_s2bm_ard_3-2-1_51KZU_2020-08-15_final.stac-item
2020-10-14 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2020-10-14_final.stac-item
2020-12-29 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2020-12-29_final.stac-item
2021-01-05 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2021-01-05_final.stac-item
2021-01-18 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-01-18_final.stac-item
2021-01-22 11:24:37	ga_s2bm_ard_3-2-1_51JYM_2021-01-22_final.stac-item
2021-03-16 11:32:21	ga_s2bm_ard_3-2-1_51KYA_2021-03-16_final.stac-item
2021-03-26 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2021-03-26_final.stac-item
2021-03-30 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2021-03-30_final.stac-item
2021-04-14 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2021-04-14_final.stac-item
2021-04-29 11:13:14	ga_s2bm_ard_3-2-1_52KDB_2021-04-29_final.stac-item
2021-05-22 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2021-05-22_final.stac-item
2021-06-11 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2021-06-11_final.stac-item
2021-06-24 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-06-24_final.stac-item
2021-06-24 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-06-24_final
2021-07-01 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2021-07-01_final.stac-item
2021-07-04 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2021-07-04_final.stac-item
2021-07-13 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2021-07-13_final.stac-item
2021-07-28 11:13:50	ga_s2bm_ard_3-2-1_52KDV_2021-07-28_final.stac-item
2021-09-25 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2021-09-25_final.stac-item
2021-10-05 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2021-10-05_final.stac-item
2021-11-21 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2021-11-21_final.stac-item
2021-11-24 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2021-11-24_final.stac-item
2021-11-24 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-11-24_final.stac-item
2021-12-01 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2021-12-01_final.stac-item
2021-12-31 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2021-12-31_final.stac-item
2022-01-03 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-01-03_final.stac-item
2022-04-16 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-04-16_final.stac-item
2022-06-13 11:13:54	ga_s2bm_ard_3-2-1_52KCV_2022-06-13_final.stac-item
2022-07-20 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2022-07-20_final.stac-item
2022-08-15 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2022-08-15_final.stac-item
2022-10-20 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-10-20_final.stac-item
2022-11-09 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2022-11-09_final.stac-item
2022-11-29 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2022-11-29_final.stac-item
2022-12-19 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2022-12-19_final.stac-item
2023-01-08 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2023-01-08_final.stac-item
2023-01-15 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2023-01-15_final.stac-item
2023-04-05 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-04-05_final
2023-05-08 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-05-08_final
2023-05-28 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-05-28_final
2023-06-14 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-06-14_final
2023-07-11 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2023-07-11_final
2023-07-24 11:34:06	ga_s2bm_ard_3-2-1_51KVQ_2023-07-24_final
2023-07-31 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-07-31_final
2023-08-20 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2023-08-20_final
2023-09-02 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2023-09-02_final
2023-09-26 11:13:51	ga_s2bm_ard_3-2-1_52KDV_2023-09-26_final
2023-09-26 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2023-09-26_final
2023-10-02 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2023-10-02_final
2023-10-03 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2023-10-03_final
2023-10-19 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2023-10-19_final
2023-10-25 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2023-10-25_final
2023-10-29 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2023-10-29_final
2023-11-20 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2023-11-20_final
2023-12-04 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2023-12-04_final
2023-12-14 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2023-12-14_final
2024-01-30 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2024-01-30_final
2024-02-10 11:03:20	ga_s2bm_ard_3-2-1_52KEB_2024-02-10_final
2024-02-16 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2024-02-16_final
2024-03-10 11:32:21	ga_s2bm_ard_3-2-1_51KXA_2024-03-10_final
2024-04-19 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2024-04-19_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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