iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.crossref.org/works/10.3390/RS8120990
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T11:05:44Z","timestamp":1726052744404},"reference-count":39,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2016,12,1]],"date-time":"2016-12-01T00:00:00Z","timestamp":1480550400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002830","name":"CNES","doi-asserted-by":"publisher","award":["TOSCA-SMOS"],"id":[{"id":"10.13039\/501100002830","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CEFIPAR","award":["4700-W1"]},{"DOI":"10.13039\/501100001413","name":"ISRO","doi-asserted-by":"publisher","award":["ISRO0198"],"id":[{"id":"10.13039\/501100001413","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"Availability of soil moisture observations at a high spatial and temporal resolution is a prerequisite for various hydrological, agricultural and meteorological applications. In the current study, a novel algorithm for merging soil moisture from active microwave (SAR) and passive microwave is presented. The MAPSM algorithm\u2014Merge Active and Passive microwave Soil Moisture\u2014uses a spatio-temporal approach based on the concept of the Water Change Capacity (WCC) which represents the amplitude and direction of change in the soil moisture at the fine spatial resolution. The algorithm is applied and validated during a period of 3 years spanning from 2010 to 2013 over the Berambadi watershed which is located in a semi-arid tropical region in the Karnataka state of south India. Passive microwave products are provided from ESA Level 2 soil moisture products derived from Soil Moisture and Ocean Salinity (SMOS) satellite (3 days temporal resolution and 40 km nominal spatial resolution). Active microwave are based on soil moisture retrievals from 30 images of RADARSAT-2 data (24 days temporal resolution and 20 m spatial resolution). The results show that MAPSM is able to provide a good estimate of soil moisture at a spatial resolution of 500 m with an RMSE of 0.025 m3\/m3 and 0.069 m3\/m3 when comparing it to soil moisture from RADARSAT-2 and in-situ measurements, respectively. The use of Sentinel-1 and RISAT products in MAPSM algorithm is envisioned over other areas where high number of revisits is available. This will need an update of the algorithm to take into account the angle sampling and resolution of Sentinel-1 and RISAT data.<\/jats:p>","DOI":"10.3390\/rs8120990","type":"journal-article","created":{"date-parts":[[2016,12,2]],"date-time":"2016-12-02T15:36:37Z","timestamp":1480692997000},"page":"990","source":"Crossref","is-referenced-by-count":34,"title":["MAPSM: A Spatio-Temporal Algorithm for Merging Soil Moisture from Active and Passive Microwave Remote Sensing"],"prefix":"10.3390","volume":"8","author":[{"given":"Sat","family":"Tomer","sequence":"first","affiliation":[{"name":"Centre d\u2019Etudes Spatiales de la BIOsph\u00e8re (CESBIO), Universit\u00e9 de Toulouse, CNES\/CNRS\/IRD\/UPS, 31401 Toulouse CEDEX 9, France"},{"name":"Department of Civil Engineering, Indian Institute of Science, Bangalore 560 012, India"},{"name":"Aapah Innovations Private Limited, Hyderabad 500 032, India"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1756-1096","authenticated-orcid":false,"given":"Ahmad","family":"Al Bitar","sequence":"additional","affiliation":[{"name":"Centre d\u2019Etudes Spatiales de la BIOsph\u00e8re (CESBIO), Universit\u00e9 de Toulouse, CNES\/CNRS\/IRD\/UPS, 31401 Toulouse CEDEX 9, France"}]},{"given":"Muddu","family":"Sekhar","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Indian Institute of Science, Bangalore 560 012, India"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6141-8222","authenticated-orcid":false,"given":"Mehrez","family":"Zribi","sequence":"additional","affiliation":[{"name":"Centre d\u2019Etudes Spatiales de la BIOsph\u00e8re (CESBIO), Universit\u00e9 de Toulouse, CNES\/CNRS\/IRD\/UPS, 31401 Toulouse CEDEX 9, France"}]},{"given":"Soumya","family":"Bandyopadhyay","sequence":"additional","affiliation":[{"name":"Indian Space Research Organisation Headquarters (ISRO HQ.), Bangalore 560 231, India"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6352-1717","authenticated-orcid":false,"given":"Yann","family":"Kerr","sequence":"additional","affiliation":[{"name":"Centre d\u2019Etudes Spatiales de la BIOsph\u00e8re (CESBIO), Universit\u00e9 de Toulouse, CNES\/CNRS\/IRD\/UPS, 31401 Toulouse CEDEX 9, France"}]}],"member":"1968","published-online":{"date-parts":[[2016,12,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Lakshmi, V. (2013). Remote Sensing of Soil Moisture. ISRN Soil Sci., 2013.","DOI":"10.1155\/2013\/424178"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.rse.2014.04.006","article-title":"Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates","volume":"149","author":"Wigneron","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"7955","DOI":"10.1080\/01431161.2010.531782","article-title":"Assessment of the AMSR-E soil moisture product over India","volume":"32","author":"Chaurasia","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.rse.2012.03.014","article-title":"Trend-preserving blending of passive and active microwave soil moisture retrievals","volume":"123","author":"Liu","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1384","DOI":"10.1109\/TGRS.2012.2184548","article-title":"The SMOS soil moisture retrieval algorithm","volume":"50","author":"Kerr","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"3390","DOI":"10.1016\/j.rse.2011.08.003","article-title":"Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe","volume":"115","author":"Brocca","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.rse.2011.11.017","article-title":"Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations","volume":"118","author":"Albergel","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/S0168-1923(00)00189-1","article-title":"Soil moisture evaluation using multi-temporal synthetic aperture radar (SAR) in semiarid rangeland","volume":"105","author":"Moran","year":"2000","journal-title":"Agric. For. Meteorol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/S0034-4257(99)00102-9","article-title":"Estimation of watershed soil moisture index from ERS\/SAR data","volume":"72","author":"Quesney","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"4579","DOI":"10.1080\/0143116031000070463","article-title":"Mapping near-surface soil moisture on regional scale using ERS-2 SAR data","volume":"24","author":"Oldak","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1002\/2012WR013405","article-title":"Soil moisture mapping in a semiarid region, based on ASAR\/Wide Swath satellite data","volume":"50","author":"Zribi","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3935","DOI":"10.1016\/j.rse.2008.06.012","article-title":"Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency","volume":"112","author":"Merlin","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_13","unstructured":"Bl\u00f6schl, G., Komma, J., and Hasenauer, S. (2009). Final Report to H-Sat (Hydrology Satellite Application Facility) via the Austrian Central Institute for meteorology and Geodynamics (ZAMG), Vienna University of Technology."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3156","DOI":"10.1109\/TGRS.2011.2120615","article-title":"Downscaling SMOS-derived soil moisture using MODIS visible\/infrared data","volume":"49","author":"Piles","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1556","DOI":"10.1109\/TGRS.2011.2175000","article-title":"Disaggregation of SMOS soil moisture in Southeastern Australia","volume":"50","author":"Merlin","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1109\/LGRS.2012.2226430","article-title":"Spatial scaling and variability of soil moisture over heterogeneous land cover and dynamic vegetation conditions","volume":"10","author":"Nagarajan","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/j.rse.2016.02.045","article-title":"SMOS disaggregated soil moisture product at 1km resolution: Processor overview and first validation results","volume":"180","author":"Molero","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2353","DOI":"10.1029\/2001WR000475","article-title":"Downscaling of radio brightness measurements for soil moisture estimation: A four-dimensional variational data assimilation approach","volume":"37","author":"Reichle","year":"2001","journal-title":"Water Resour. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"425","DOI":"10.5194\/hess-15-425-2011","article-title":"Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals","volume":"15","author":"Liu","year":"2011","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/S0034-4257(02)00044-5","article-title":"Downscaling of remotely sensed soil moisture with a modified fractal interpolation method using contraction mapping and ancillary data","volume":"83","author":"Kim","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1225","DOI":"10.1175\/2007JHM819.1","article-title":"A land data assimilation system for soil moisture and temperature: An information content study","volume":"8","author":"Balsamo","year":"2007","journal-title":"J. Hydrometeorol."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Carrera, M.L., B\u00e9lair, S., and Bilodeau, B. (2015). The Canadian Land Data Assimilation System (CaLDAS): Description and Synthetic Evaluation Study. J. Hydrometeorol.","DOI":"10.1175\/JHM-D-14-0089.1"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"4125","DOI":"10.1109\/TGRS.2009.2022088","article-title":"A change detection algorithm for retrieving high-resolution soil moisture from SMAP radar and radiometer observations","volume":"47","author":"Piles","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1504","DOI":"10.1109\/TGRS.2010.2089526","article-title":"An algorithm for merging SMAP radiometer and radar data for high-resolution soil-moisture retrieval","volume":"49","author":"Das","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2018","DOI":"10.1109\/TGRS.2013.2257605","article-title":"Tests of the SMAP combined radar and radiometer algorithm using airborne field campaign observations and simulated data","volume":"52","author":"Das","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1729","DOI":"10.1109\/36.942551","article-title":"Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission","volume":"39","author":"Kerr","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.rse.2016.02.042","article-title":"Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation","volume":"180","author":"Kerr","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1572","DOI":"10.1109\/TGRS.2012.2186581","article-title":"Evaluation of SMOS soil moisture products over continental US using the SCAN\/SNOTEL network","volume":"50","author":"Leroux","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1562","DOI":"10.1109\/TGRS.2013.2252468","article-title":"Comparison between SMOS, VUA, ASCAT, and ECMWF soil moisture products over four watersheds in US","volume":"52","author":"Leroux","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"8128","DOI":"10.3390\/rs70608128","article-title":"Retrieval and multi-scale validation of soil moisture from multi-temporal SAR data in a semi-arid tropical region","volume":"7","author":"Tomer","year":"2015","journal-title":"Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"221","DOI":"10.5589\/m04-004","article-title":"An introduction to the RADARSAT-2 mission","volume":"30","author":"Morena","year":"2004","journal-title":"Can. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1127\/0941-2948\/2006\/0130","article-title":"World map of the K\u00f6ppen-Geiger climate classification updated","volume":"15","author":"Kottek","year":"2006","journal-title":"Meteorol. Z."},{"key":"ref_33","unstructured":"Karnataka State Remote Sensing Application Centre (2007). Report on State Natural Resources Information System, Technical Report."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.jhydrol.2012.06.012","article-title":"Parameter estimation of a two-horizon soil profile by combining crop canopy and surface soil moisture observations using GLUE","volume":"456","author":"Sreelash","year":"2012","journal-title":"J. Hydrol."},{"key":"ref_35","first-page":"189","article-title":"Improved modeling of groundwater recharge in agricultural watersheds using a combination of crop model and remote sensing","volume":"93","author":"Sreelash","year":"2013","journal-title":"J. Indian Inst. Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1017\/S002185960008864X","article-title":"Studies in the physical properties of soil. V. The hysteresis effect in capillary properties, and the modes of moisture distribution associated therewith","volume":"20","author":"Haines","year":"1930","journal-title":"J. Agric. Sci."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Reichle, R.H., and Koster, R.D. (2004). Bias reduction in short records of satellite soil moisture. Geophys. Res. Lett., 31.","DOI":"10.1029\/2004GL020938"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2275","DOI":"10.1016\/j.rse.2009.06.012","article-title":"A sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors","volume":"113","author":"Merlin","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1002\/hyp.6609","article-title":"Operational performance of current synthetic aperture radar sensors in mapping soil surface characteristics in agricultural environments: Application to hydrological and erosion modelling","volume":"22","author":"Baghdadi","year":"2008","journal-title":"Hydrol. Process."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/12\/990\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T13:58:58Z","timestamp":1717682338000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/12\/990"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,1]]},"references-count":39,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2016,12]]}},"alternative-id":["rs8120990"],"URL":"http:\/\/dx.doi.org\/10.3390\/rs8120990","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,1]]}}}