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
2017-10-15 10:31:57	ga_s2bm_ard_3-2-1_53HMC_2017-10-15_final.stac-item
2017-10-26 11:37:38	ga_s2bm_ard_3-2-1_51LUF_2017-10-26_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRD_2017-11-25_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51LUE_2017-12-05_final
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51HWC_2017-12-19_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HPG_2018-01-04_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KTU_2018-01-04_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52HDK_2018-01-12_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-12_final.stac-item
2018-03-09 11:26:31	ga_s2bm_ard_3-2-1_51HWC_2018-03-09_final.stac-item
2018-03-16 11:07:05	ga_s2bm_ard_3-2-1_52LFM_2018-03-16_final.stac-item
2018-03-17 10:37:20	ga_s2bm_ard_3-2-1_53HKE_2018-03-17_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51LYE_2018-03-22_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HNJ_2018-04-04_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-04-10_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_52JGM_2018-04-16_final
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KYT_2018-04-18_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HNG_2018-04-21_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMK_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNM_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50KRD_2018-04-24_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_51KZP_2018-06-14_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51HWC_2018-07-04_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51JUL_2018-07-23_final
2018-07-24 11:07:17	ga_s2bm_ard_3-2-1_52LGN_2018-07-24_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HLG_2018-08-02_final.stac-item
2018-09-06 10:51:21	ga_s2bm_ard_3-2-1_52JGL_2018-09-06_final
2018-12-14 11:23:18	ga_s2bm_ard_3-2-1_51KYS_2018-12-14_final
2018-12-31 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2018-12-31_final
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-01-05_final
2019-01-19 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-01-19_final
2019-02-05 11:31:24	ga_s2bm_ard_3-2-1_51LYE_2019-02-05_final
2019-03-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-03-23_final
2019-03-30 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2019-03-30_final
2019-04-22 11:57:27	ga_s2bm_ard_3-2-1_50HMG_2019-04-22_final.stac-item
2019-04-26 11:37:33	ga_s2bm_ard_3-2-1_50HNG_2019-04-26_final.stac-item
2019-06-18 11:42:53	ga_s2bm_ard_3-2-1_51KUV_2019-06-18_final
2019-07-05 11:33:36	ga_s2bm_ard_3-2-1_51KWS_2019-07-05_final
2019-07-31 11:53:07	ga_s2bm_ard_3-2-1_50KRD_2019-07-31_final
2019-08-30 11:55:24	ga_s2bm_ard_3-2-1_50JNQ_2019-08-30_final
2019-11-08 11:52:59	ga_s2bm_ard_3-2-1_50KRD_2019-11-08_final
2019-11-21 10:26:51	ga_s2bm_ard_3-2-1_53HNB_2019-11-21_final
2019-12-18 11:52:54	ga_s2bm_ard_3-2-1_50KRD_2019-12-18_final
2019-12-18 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2019-12-18_final.stac-item
2020-01-18 11:22:46	ga_s2bm_ard_3-2-1_51KZU_2020-01-18_final
2020-02-02 12:13:33	ga_s2bm_ard_3-2-1_49KHS_2020-02-02_final.stac-item
2020-02-03 11:42:02	ga_s2bm_ard_3-2-1_51KWB_2020-02-03_final
2020-02-13 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2020-02-13_final.stac-item
2020-03-07 11:52:57	ga_s2bm_ard_3-2-1_50KRD_2020-03-07_final
2020-03-20 10:27:03	ga_s2bm_ard_3-2-1_53HPA_2020-03-20_final
2020-05-30 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2020-05-30_final
2020-06-29 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-06-29_final
2020-07-09 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-07-09_final
2020-08-11 11:45:57	ga_s2bm_ard_3-2-1_50JNN_2020-08-11_final
2020-09-08 11:03:01	ga_s2bm_ard_3-2-1_52KGC_2020-09-08_final
2020-09-17 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-09-17_final
2020-09-18 11:00:46	ga_s2bm_ard_3-2-1_52LHM_2020-09-18_final
2020-10-22 10:46:01	ga_s2bm_ard_3-2-1_53JKF_2020-10-22_final
2020-11-02 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2020-11-02_final
2020-11-08 10:34:15	ga_s2bm_ard_3-2-1_53JNN_2020-11-08_final
2020-11-29 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2020-11-29_final
2021-01-06 11:02:28	ga_s2bm_ard_3-2-1_52KGE_2021-01-06_final
2021-02-12 10:54:20	ga_s2bm_ard_3-2-1_52JFT_2021-02-12_final
2021-02-23 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2021-02-23_final
2021-02-28 11:16:25	ga_s2bm_ard_3-2-1_51HXE_2021-02-28_final
2021-03-28 10:36:31	ga_s2bm_ard_3-2-1_53HPC_2021-03-28_final
2021-05-14 10:26:53	ga_s2bm_ard_3-2-1_53HNB_2021-05-14_final
2021-06-03 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2021-06-03_final
2021-06-14 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2021-06-14_final
2021-06-21 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2021-06-21_final
2021-07-26 10:36:12	ga_s2bm_ard_3-2-1_53HME_2021-07-26_final
2021-07-31 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2021-07-31_final
2021-08-09 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-08-09_final
2021-08-10 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2021-08-10_final
2021-09-14 10:36:35	ga_s2bm_ard_3-2-1_53HMC_2021-09-14_final.stac-item
2021-10-02 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-10-02_final
2021-11-14 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-11-14_final
2022-01-07 11:21:36	ga_s2bm_ard_3-2-1_51LZD_2022-01-07_final
2022-01-14 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2022-01-14_final
2022-01-20 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2022-01-20_final
2022-02-12 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2022-02-12_final
2022-04-03 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2022-04-03_final
2022-05-04 11:10:42	ga_s2bm_ard_3-2-1_52LFM_2022-05-04_final.stac-item
2022-07-08 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-08_final.stac-item
2022-07-29 11:34:30	ga_s2bm_ard_3-2-1_51JWN_2022-07-29_final
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2022-08-17_final
2022-08-28 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2022-08-28_final
2022-09-06 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2022-09-06_final.stac-item
2022-09-10 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2022-09-10_final.stac-item
2022-11-29 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2022-11-29_final.stac-item
2023-01-01 11:53:02	ga_s2bm_ard_3-2-1_50KQD_2023-01-01_final.stac-item
2023-01-12 11:22:42	ga_s2bm_ard_3-2-1_51KZV_2023-01-12_final.stac-item
2023-01-21 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2023-01-21_final.stac-item
2023-04-08 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2023-04-08_final.stac-item
2023-07-11 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2023-07-11_final.stac-item
2023-07-24 11:34:21	ga_s2bm_ard_3-2-1_51JXN_2023-07-24_final.stac-item
2023-08-03 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2023-08-03_final.stac-item
2023-08-09 11:54:42	ga_s2bm_ard_3-2-1_50JNT_2023-08-09_final.stac-item
2023-08-16 11:42:01	ga_s2bm_ard_3-2-1_51LWC_2023-08-16_final.stac-item
2024-03-30 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2024-03-30_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