Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-10-12_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVL_2017-10-13_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KLC_2018-04-10_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLM_2018-06-26_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HPJ_2018-06-30_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HQG_2018-07-20_final.stac-item
2018-08-25 11:46:04	ga_s2bm_ard_3-2-1_50KQG_2018-08-25_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JML_2018-09-04_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50KKB_2018-09-17_final
2018-11-19 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2018-11-19_final
2018-11-20 11:43:12	ga_s2bm_ard_3-2-1_50KQC_2018-11-20_final
2019-04-05 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-04-05_final
2019-04-16 11:37:03	ga_s2bm_ard_3-2-1_51HUC_2019-04-16_final
2019-05-20 11:15:51	ga_s2bm_ard_3-2-1_51JXH_2019-05-20_final
2019-05-25 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-25_final
2019-06-18 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-18_final
2019-06-22 11:24:31	ga_s2bm_ard_3-2-1_51JYN_2019-06-22_final
2019-06-22 11:26:55	ga_s2bm_ard_3-2-1_51HUD_2019-06-22_final
2019-07-11 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-11_final
2019-08-10 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2019-08-10_final
2019-09-03 11:35:44	ga_s2bm_ard_3-2-1_51JVH_2019-09-03_final
2019-10-19 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2019-10-19_final.stac-item
2019-11-12 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2019-11-12_final
2019-12-15 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2019-12-15_final
2019-12-21 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2019-12-21_final
2020-01-04 11:46:14	ga_s2bm_ard_3-2-1_50JPL_2020-01-04_final
2020-01-18 11:24:26	ga_s2bm_ard_3-2-1_51JZM_2020-01-18_final
2020-03-27 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-03-27_final
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-30_final
2020-04-03 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2020-04-03_final
2020-04-16 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2020-04-16_final
2020-04-17 11:26:13	ga_s2bm_ard_3-2-1_51JUF_2020-04-17_final
2020-04-19 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2020-04-19_final
2020-04-26 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2020-04-26_final
2020-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2020-05-20_final
2020-05-24 11:14:33	ga_s2bm_ard_3-2-1_51JZM_2020-05-24_final
2020-05-29 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2020-05-29_final
2020-05-29 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-05-29_final
2020-06-25 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2020-06-25_final
2020-09-20 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-09-20_final
2020-09-26 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-26_final
2020-09-27 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2020-09-27_final
2020-10-24 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2020-10-24_final
2020-10-27 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2020-10-27_final
2020-10-30 11:43:35	ga_s2bm_ard_3-2-1_51KTS_2020-10-30_final
2021-01-29 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-01-29_final.stac-item
2021-04-04 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2021-04-04_final
2021-08-13 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-08-13_final
2021-09-02 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2021-09-02_final
2021-10-28 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-10-28_final
2021-11-25 11:14:33	ga_s2bm_ard_3-2-1_51JZM_2021-11-25_final
2021-12-15 11:16:53	ga_s2bm_ard_3-2-1_51HWC_2021-12-15_final.stac-item
2021-12-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-12-24_final.stac-item
2022-01-02 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2022-01-02_final
2022-01-19 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2022-01-19_final
2022-01-26 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2022-01-26_final
2022-02-11 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-02-11_final
2022-03-05 11:14:26	ga_s2bm_ard_3-2-1_51JYN_2022-03-05_final
2022-03-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-03-17_final
2022-03-17 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2022-03-17_final
2022-03-30 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2022-03-30_final
2022-04-10 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2022-04-10_final
2022-04-26 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2022-04-26_final
2022-04-27 11:25:21	ga_s2bm_ard_3-2-1_51JWJ_2022-04-27_final
2022-05-03 11:46:10	ga_s2bm_ard_3-2-1_50JQL_2022-05-03_final
2022-05-03 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-05-03_final
2022-05-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-05-09_final
2022-05-27 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-05-27_final
2022-06-15 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2022-06-15_final
2022-06-28 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2022-06-28_final
2022-07-16 11:24:23	ga_s2bm_ard_3-2-1_51JZN_2022-07-16_final
2022-09-06 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2022-09-06_final.stac-item
2022-09-11 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2022-09-11_final.stac-item
2022-09-13 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2022-09-13_final.stac-item
2022-09-26 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-09-26_final.stac-item
2022-10-14 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2022-10-14_final.stac-item
2022-11-02 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-11-02_final.stac-item
2022-12-02 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-12-02_final.stac-item
2022-12-29 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-12-29_final.stac-item
2023-02-10 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-02-10_final.stac-item
2023-02-17 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-02-17_final.stac-item
2023-03-29 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2023-03-29_final.stac-item
2023-04-18 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2023-04-18_final.stac-item
2023-04-28 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2023-04-28_final.stac-item
2023-05-11 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2023-05-11_final.stac-item
2023-06-04 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2023-06-04_final.stac-item
2023-06-13 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-06-13_final.stac-item
2023-06-21 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2023-06-21_final.stac-item
2023-08-17 11:15:48	ga_s2bm_ard_3-2-1_51JXH_2023-08-17_final.stac-item
2023-10-28 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-10-28_final.stac-item
2023-11-03 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2023-11-03_final.stac-item
2023-12-03 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-12-03_final.stac-item
2023-12-08 11:24:33	ga_s2bm_ard_3-2-1_51JYM_2023-12-08_final.stac-item
2024-01-06 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2024-01-06_final.stac-item
2024-02-28 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-02-28_final.stac-item
2024-03-12 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2024-03-12_final.stac-item
2024-03-22 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-03-22_final.stac-item
2024-03-24 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2024-03-24_final.stac-item
2024-03-26 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2024-03-26_final.stac-item
2024-04-21 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-04-21_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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