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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51JYN_2017-08-28_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JHM_2018-01-10_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KXU_2018-01-28_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KZP_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50JRT_2018-01-31_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JVG_2018-02-17_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51JUF_2018-03-12_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JKN_2018-04-10_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JVK_2018-04-21_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JXK_2018-06-07_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JKM_2018-07-19_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JLM_2018-10-24_final
2018-12-10 11:43:05	ga_s2bm_ard_3-2-1_51KVT_2018-12-10_final
2019-01-06 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2019-01-06_final
2019-03-13 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2019-03-13_final
2019-04-09 11:43:55	ga_s2bm_ard_3-2-1_50KQA_2019-04-09_final
2019-04-09 11:44:06	ga_s2bm_ard_3-2-1_50KRV_2019-04-09_final
2019-04-15 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2019-04-15_final
2019-05-26 11:34:43	ga_s2bm_ard_3-2-1_50JRT_2019-05-26_final
2019-06-09 11:16:30	ga_s2bm_ard_3-2-1_51HYE_2019-06-09_final
2019-06-29 11:15:15	ga_s2bm_ard_3-2-1_52JBQ_2019-06-29_final
2019-07-12 11:25:00	ga_s2bm_ard_3-2-1_51JYL_2019-07-12_final
2019-07-29 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2019-07-29_final
2019-08-25 11:06:11	ga_s2bm_ard_3-2-1_52JCL_2019-08-25_final
2019-10-10 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2019-10-10_final
2019-10-20 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2019-10-20_final
2019-12-18 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2019-12-18_final
2020-01-11 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2020-01-11_final
2020-02-20 11:31:45	ga_s2bm_ard_3-2-1_51LZC_2020-02-20_final
2020-02-22 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-02-22_final
2020-02-26 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2020-02-26_final
2020-04-17 11:24:25	ga_s2bm_ard_3-2-1_51JWN_2020-04-17_final
2020-05-20 11:32:00	ga_s2bm_ard_3-2-1_51LWC_2020-05-20_final
2020-06-12 11:45:46	ga_s2bm_ard_3-2-1_51JTH_2020-06-12_final
2020-08-11 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-08-11_final
2020-08-11 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2020-08-11_final
2020-09-10 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2020-09-10_final
2020-10-21 11:16:26	ga_s2bm_ard_3-2-1_51HYE_2020-10-21_final
2020-11-06 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-11-06_final
2021-01-02 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2021-01-02_final
2021-01-12 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2021-01-12_final
2021-01-15 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2021-01-15_final
2021-02-24 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2021-02-24_final
2021-03-06 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-03-06_final
2021-03-13 11:24:25	ga_s2bm_ard_3-2-1_51JXN_2021-03-13_final
2021-06-10 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-06-10_final
2021-06-20 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-06-20_final
2021-06-21 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2021-06-21_final
2021-07-13 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2021-07-13_final
2021-07-27 11:42:01	ga_s2bm_ard_3-2-1_51LVC_2021-07-27_final
2021-08-10 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-08-10_final
2021-08-29 11:55:36	ga_s2bm_ard_3-2-1_50JMP_2021-08-29_final
2021-09-15 11:45:51	ga_s2bm_ard_3-2-1_51JTG_2021-09-15_final
2021-09-19 11:26:51	ga_s2bm_ard_3-2-1_51HWC_2021-09-19_final.stac-item
2021-09-25 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-09-25_final
2021-11-08 11:25:42	ga_s2bm_ard_3-2-1_51JWH_2021-11-08_final
2021-11-14 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-11-14_final.stac-item
2022-03-27 11:54:30	ga_s2bm_ard_3-2-1_50JPT_2022-03-27_final
2022-03-28 11:25:39	ga_s2bm_ard_3-2-1_51JWH_2022-03-28_final
2022-04-13 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-04-13_final
2022-04-13 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-13_final
2022-04-16 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2022-04-16_final
2022-05-13 11:44:33	ga_s2bm_ard_3-2-1_50JQT_2022-05-13_final
2022-05-20 11:36:14	ga_s2bm_ard_3-2-1_51JUF_2022-05-20_final
2022-06-15 11:54:29	ga_s2bm_ard_3-2-1_50KMU_2022-06-15_final
2022-06-16 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2022-06-16_final
2022-07-28 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2022-07-28_final
2022-07-28 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2022-07-28_final
2022-07-29 11:34:48	ga_s2bm_ard_3-2-1_51JVM_2022-07-29_final
2022-07-30 11:05:57	ga_s2bm_ard_3-2-1_52JCM_2022-07-30_final
2022-08-04 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2022-08-04_final
2022-09-27 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2022-09-27_final.stac-item
2022-09-30 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2022-09-30_final.stac-item
2022-11-16 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2022-11-16_final.stac-item
2022-11-26 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2022-11-26_final.stac-item
2022-11-26 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-11-26_final.stac-item
2023-02-24 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2023-02-24_final.stac-item
2023-03-23 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2023-03-23_final.stac-item
2023-03-26 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2023-03-26_final.stac-item
2023-04-08 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2023-04-08_final.stac-item
2023-04-12 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2023-04-12_final.stac-item
2023-04-25 11:35:47	ga_s2bm_ard_3-2-1_51JUH_2023-04-25_final.stac-item
2023-06-10 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-06-10_final.stac-item
2023-06-17 11:43:48	ga_s2bm_ard_3-2-1_51KUR_2023-06-17_final.stac-item
2023-06-21 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2023-06-21_final.stac-item
2023-07-01 11:21:31	ga_s2bm_ard_3-2-1_51LZE_2023-07-01_final.stac-item
2023-08-13 11:36:36	ga_s2bm_ard_3-2-1_51HUE_2023-08-13_final.stac-item
2023-08-16 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-08-16_final.stac-item
2023-09-08 11:57:19	ga_s2bm_ard_3-2-1_49HGC_2023-09-08_nrt.stac-item
2023-10-02 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2023-10-02_final.stac-item
2023-11-21 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2023-11-21_final.stac-item
2023-12-31 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2023-12-31_final.stac-item
2024-01-04 11:15:39	ga_s2bm_ard_3-2-1_51JYH_2024-01-04_final.stac-item
2024-01-17 11:21:24	ga_s2bm_ard_3-2-1_51LZE_2024-01-17_final.stac-item
2024-03-07 11:25:25	ga_s2bm_ard_3-2-1_51JVJ_2024-03-07_final.stac-item
2024-03-10 11:35:51	ga_s2bm_ard_3-2-1_51JVG_2024-03-10_final.stac-item
2024-03-13 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2024-03-13_final.stac-item
2024-03-17 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2024-03-17_nrt.stac-item
2024-04-26 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2024-04-26_final.stac-item
2024-04-26 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2024-04-26_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

All years