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Evaluating a thermal image sharpening model over a mixed agricultural landscape in India
TLDR
Fine spatial resolution (e.g., <300 m) thermal data are needed regularly to characterise the temporal pattern of surface moisture status, water stress, and to forecast agriculture drought and famine. Expand
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Analysing the effect of different aggregation approaches on remotely sensed data
The effect of spatial aggregation varies depending on the aggregation logic. This study examined and compared the effect of both categorical and numerical aggregation. Categorical aggregation focusedExpand
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Hydrological modelling of a drained grazing marsh under agricultural land use and the simulation of restoration management scenarios
Abstract The capability of the spatially-distributed, physically-based, rainfall-runoff modelling system, MIKE SHE, to simulate the hydrological behaviour of the natural and drained parts of theExpand
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A per-pixel, non-stationary mixed model for empirical line atmospheric correction in remote sensing
TLDR
This paper shows how heteroskedasticity can be assessed and modeled using the non-stationary LMM.Abstract Atmospheric correction is a key stage in the processing of remotely sensed data. Expand
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The invisible made visible : science and technology
This chapter gives a comprehensive overview of the urban ILM (Innovatief Lucht Meetsysteem, English: Innovative Air Measurement System) that has been installed to monitor air quality in the DutchExpand
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On the effect of positional uncertainty in field measurements on the atmospheric correction of remotely sensed imagery
The empirical line method (ELM) is widely used to atmospherically correct airborne remotely sensed imagery. It is based on a simple linear regression between remotely sensed measurements of radianceExpand
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Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output
TLDR
We present a Bayesian framework to calibrate the widely used process-based forest growth simulator Biome-BGC against estimates of gross primary production (GPP) data. Expand
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Geospatial Mapping of Soil Organic Carbon Using Regression Kriging and Remote Sensing
Geo-spatial mapping of soil organic carbon using regression kriging was performed for Lalo khala sub-watershed (a part of Solani watershed) located in western Uttar Pradesh, India. Soil organicExpand
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Spatial temporal modelling of particulate matter for health effects studies
Abstract. Epidemiological studies of the health effects of air pollution require estimation of individual exposure. It is not possible to obtain measurements at all relevant locations so it isExpand
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Analysis of the Relationship between Scintillation Parameters, Multipath and ROTI
TLDR
We investigate the relationship of two parameters, namely multipath (MP) and rate of change of total electron content index (ROTI), that can be obtained from standard generic receivers to represent scintillation. Expand
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