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Displaying 401 - 405 of 661soil moisture assimilation scheme based on the microwave Land Emissivity Model and the Community Land Model
Applications of microwave remote-sensing data in land data assimilation are a topic of current interest and importance due to their high temporal and spatial resolution and availability. However, there have been few studies on land surface sub-grid scale heterogeneity and calculating microwave wetland surface emissivity when directly assimilating gridded Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) satellite brightness temperature (BT) data to estimate soil moisture.
No-tillage farming, soil fertility and maize root growth
Sustainable land management involves preservation of soil properties associated with soil quality and fertility. Conservation or no-tillage farming by retaining crop residues after harvesting can considerably contribute to soil fertility and crop productivity. The objective of this study is to evaluate and compare effects of two agricultural practices, conventional using mouldboard ploughing (CP) and no-tillage (NT), on soil fertility and on root growth of maize. The study is conducted on two adjoined fields on Chernozem in Eastern Austria.
super-resolution mapping method using local indicator variograms
Super-resolution mapping (SRM) is a recently developed research task in the field of remotely sensed information processing. It provides the ability to obtain land-cover maps at a finer scale using relatively low-resolution images. Existing algorithms based on indicator geostatistics and downscaling cokriging offer an SRM approach using spatial structure models derived from real data. In this article, a novel SRM method is developed based on a sequentially produced with local indicator variogram (SLIV) SRM model.
Spatially adaptive smoothing parameter selection for Markov random field based sub-pixel mapping of remotely sensed images
Sub-pixel mapping is a process to provide the spatial distributions of land cover classes with finer spatial resolution than the size of a remotely sensed image pixel. Traditional Markov random field-based sub-pixel mapping (MRF_SPM) adopts a fixed smoothing parameter estimated based on the entire image to balance the spatial and spectral energies. However, the spectra of the remotely sensed pixels are always spatially variable.
Mapping seasonal trends in vegetation using AVHRR-NDVI time series in the Yucatán Peninsula, Mexico
This research examines the spatio-temporal trends in Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modelling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) time series to ascribe land use change and precipitation to observed changes in land cover from 1982 to 2007 in the Mexican Yucatán Peninsula, using seasonal trend analysis (STA).