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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_50HPG_2017-08-14_final.stac-item
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JMM_2017-08-30_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51JTN_2017-12-25_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51HTD_2018-01-11_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQH_2018-02-10_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HPK_2018-02-23_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JVM_2018-03-02_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUV_2018-04-04_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMJ_2018-04-14_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JNM_2018-05-14_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNK_2018-05-24_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HTC_2018-06-20_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HPJ_2018-07-03_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_50KRD_2018-08-02_final
2018-09-12 11:14:23	ga_s2bm_ard_3-2-1_51HWC_2018-09-12_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGJ_2018-10-17_final
2018-12-07 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2018-12-07_final.stac-item
2018-12-20 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2018-12-20_final
2018-12-24 11:27:03	ga_s2bm_ard_3-2-1_51HTC_2018-12-24_final
2019-01-12 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2019-01-12_final
2019-01-19 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2019-01-19_final
2019-01-19 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-01-19_final.stac-item
2019-03-10 11:42:14	ga_s2bm_ard_3-2-1_51KUB_2019-03-10_final.stac-item
2019-03-24 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2019-03-24_final
2019-05-19 11:43:44	ga_s2bm_ard_3-2-1_51KVR_2019-05-19_final
2019-06-15 11:36:39	ga_s2bm_ard_3-2-1_51HTE_2019-06-15_final
2019-07-22 11:26:50	ga_s2bm_ard_3-2-1_51HVD_2019-07-22_final
2019-11-11 12:03:19	ga_s2bm_ard_3-2-1_50KNC_2019-11-11_final
2019-12-22 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-12-22_final
2020-01-08 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2020-01-08_final
2020-01-21 11:37:00	ga_s2bm_ard_3-2-1_50HPH_2020-01-21_final
2020-02-17 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2020-02-17_final
2020-05-02 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2020-05-02_final
2020-05-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2020-05-20_final
2020-07-05 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-07-05_final
2020-07-12 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2020-07-12_final
2020-08-21 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2020-08-21_final.stac-item
2020-08-21 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-08-21_final.stac-item
2020-09-27 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-09-27_final
2020-10-23 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-10-23_final
2020-11-09 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-11-09_final
2021-01-08 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-01-08_final.stac-item
2021-02-07 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2021-02-07_final
2021-02-10 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-02-10_final
2021-03-06 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2021-03-06_final
2021-03-29 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-03-29_final
2021-04-01 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-04-01_final
2021-04-04 12:04:19	ga_s2bm_ard_3-2-1_49KHP_2021-04-04_final
2021-04-11 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2021-04-11_final
2021-04-15 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2021-04-15_final
2021-04-22 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2021-04-22_final
2021-04-28 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2021-04-28_final.stac-item
2021-04-28 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2021-04-28_final
2021-05-28 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2021-05-28_final
2021-06-17 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2021-06-17_final.stac-item
2021-07-17 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2021-07-17_final
2021-07-30 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2021-07-30_final
2021-07-31 11:26:20	ga_s2bm_ard_3-2-1_51JUF_2021-07-31_final
2021-08-02 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2021-08-02_final
2021-08-12 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final
2021-11-04 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2021-11-04_final
2021-11-11 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-11-11_final
2022-01-13 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2022-01-13_final
2022-01-29 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2022-01-29_final
2022-03-24 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2022-03-24_final
2022-03-28 11:24:23	ga_s2bm_ard_3-2-1_51JXN_2022-03-28_final
2022-03-31 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2022-03-31_final
2022-04-09 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2022-04-09_final
2022-05-06 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2022-05-06_final
2022-05-14 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2022-05-14_final
2022-06-12 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2022-06-12_final
2022-07-08 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-07-08_final
2022-07-12 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2022-07-12_final
2022-07-15 11:56:12	ga_s2bm_ard_3-2-1_50JMM_2022-07-15_final
2022-08-01 11:46:05	ga_s2bm_ard_3-2-1_50JQM_2022-08-01_final
2022-08-02 11:16:13	ga_s2bm_ard_3-2-1_51JYF_2022-08-02_final
2022-08-21 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2022-08-21_final
2022-11-03 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2022-11-03_final.stac-item
2022-12-09 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2022-12-09_final.stac-item
2023-01-01 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-01-01_final.stac-item
2023-03-09 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-03-09_final.stac-item
2023-04-18 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2023-04-18_final.stac-item
2023-05-15 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-05-15_final.stac-item
2023-06-07 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-06-07_final.stac-item
2023-06-14 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2023-06-14_final.stac-item
2023-07-04 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-07-04_final.stac-item
2023-07-07 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-07-07_final.stac-item
2023-07-07 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2023-07-07_final.stac-item
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final.stac-item
2023-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-08-15_final.stac-item
2023-08-16 11:46:06	ga_s2bm_ard_3-2-1_50JQM_2023-08-16_final.stac-item
2023-10-22 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2023-10-22_final.stac-item
2023-11-03 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-11-03_final.stac-item
2023-11-14 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2023-11-14_final.stac-item
2023-12-23 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-12-23_final.stac-item
2023-12-27 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-12-27_final.stac-item
2024-01-19 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2024-01-19_final.stac-item
2024-03-10 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2024-03-10_final.stac-item
2024-03-19 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2024-03-19_final.stac-item
2024-05-28 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2024-05-28_nrt.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