Institute of Electrical and Electronics Engineers Inc.;Piscataway: IEEE
摘要:
摘要： Soil moisture is a critical element in the hydrological cycle, which is intimately tied to agriculture production, ecosystem integrity, and hydrological cycle. Point measurements of soil moisture samples are laborious, costly, and inefficient. Remote sensing technologies are capable of conducting soil moisture mapping at the regional scale. The advanced microwave scanning radiometer on earth observing system (AMSR-E) provides global surface soil moisture (SSM) products with the spatial resolution of 25 km which is not sufficient enough to meet the demand for various local-scale applications. This study refines AMSR-E SSM data with normalized multiband drought index (NMDI) derived from the moderate resolution imaging spectroradiometer (MODIS) data to provide fused SSM product with finer spatial resolution that can be up to 1 km. Practical implementation of this data fusion method was carried out in Central America Isthmus region to generate the SSM maps with the spatial resolution of 1 km during the dry seasons in 2010 and 2011 for various agricultural applications. The calibration and validation of the SSM maps based on the fused images of AMSR-E and MODIS yielded satisfactory agreement with in situ ground truth data pattern wise. 其他題名： JSTARS 出版者： Piscataway: IEEE 出版日期： 2014-11-01 出處： IEEE journal of selected topics in applied earth observations and remote sensing, 2014-11, Vol.7 (11), p.4340-4355 資源來源： IEEE Electronic Library (IEL) 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2014 識別號： ISSN: 1939-1404 識別號： ISSN: 2151-1535 識別號： EISSN: 2151-1535 識別號： DOI: 10.1109/JSTARS.2014.2347313 識別號： CODEN: IJSTHZ
