Auflistung Geologie nach Mitwirkenden "Kappas, Martin"
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Comparison of Multiple Linear Regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data
Noi, Phan; Degener, Jan; Kappas, Martin (Remote Sensing, 2017)Recently, several methods have been introduced and applied to estimate daily air surface temperature (Ta) using MODIS land surface temperature data (MODIS LST). Among these methods, the most common used method is statistical ... -
Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery.
Thanh Noi, Phan; Kappas, Martin (Sensors (Basel, Switzerland), 2017)In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost classifiers at producing high accuracies. ... -
Computing the biomass potentials for maize and two alternative energy crops, triticale and cup plant (Silphium perfoliatum L.), with the crop model BioSTAR in the region of Hannover (Germany)
Bauböck, Roland; Karpenstein-Machan, Marianne; Kappas, Martin (Environmental Sciences Europe, 2014)Background Lower Saxony (Germany) has the highest installed electric capacity from biogas in Germany. Most of this electricity is generated with maize. Reasons for this are the high yields and the economic incentive. ... -
Differences in biomass yield development of early, medium, and late maize varieties during the 21st century in Northern Germany
Degener, Jan F.; Kappas, Martin (Environmental Sciences Europe, 2015) -
Estimating Daily Maximum and Minimum Land Air Surface Temperature Using MODIS Land Surface Temperature Data and Ground Truth Data in Northern Vietnam
Noi, Phan; Kappas, Martin; Degener, Jan (Remote Sensing, 2016)This study aims to evaluate quantitatively the land surface temperature (LST) derived from MODIS (Moderate Resolution Imaging Spectroradiometer) MOD11A1 and MYD11A1 Collection 5 products for daily land air surface ... -
Global Health - A Challenge for Interdisciplinary Research
Kappas, Martin; Groß, Uwe; Kelleher, Dermot (Universitätsverlag GöttingenGöttingen, 2012)Human, animal and plant health is a field of work which offers opportunities for inter- and trans-disciplinary research. The whole topic bridges the natural and social sciences. Today, in a world of global environmental ... -
Inter-Comparison and Evaluation of the Global LAI Product (LAI3g) and the Regional LAI Product (GGRS-LAI) over the Area of Kazakhstan
Kappas, Martin; Propastin, Pavel; Degener, Jan; Renchin, Tsolmon (Remote Sensing, 2015) -
Land Surface Temperature Variation Due to Changes in Elevation in Northwest Vietnam
Phan, Thanh; Kappas, Martin; Tran, Trong (Climate, 2018)Land surface temperature (LST) is one of the most important variables for applications relating to the physics of land surface processes. LST rapidly changes in both space and time, and knowledge of LST and its spatiotemporal ... -
Mapping leaf area index over semi-desert and steppe biomes in kazakhstan using satellite imagery and ground measurements
Propastin, Pavel; Kappas, Martin (EARSeL eProceedings, 2009)Maps of peak seasonal leaf area index (LAI) were produced using the Normalised Difference Vegetation Index (NDVI) from SPOT VEGETATION (VEG) satellite at 1 km resolution over a large region in the semi-arid zone of Kazakhstan. ... -
Modeling Net Ecosystem Exchange for Grassland in Central Kazakhstan by Combining Remote Sensing and Field Data
Propastin, Pavel; Kappas, Martin (Remote Sensing, 2009)Carbon sequestration was estimated in a semi-arid grassland region in Central Kazakhstan using an approach that integrates remote sensing, field measurements and meteorological data. Carbon fluxes for each pixel of 1 × ... -
Modeling Surface Runoff and Evapotranspiration using SWAT and BEACH for a Tropical Watershed in North Vietnam, Compared to MODIS Products
Nguyen, Hong Quang; Kappas, Martin (International Journal of Advanced Remote Sensing and GIS, 2015)Accurate estimation of surface runoff (Q) and evapotranspiration (ET) is a challenging task but an important research topic because both Q and ET play vital roles in the study of the hydrological cycle, of climate change, ... -
Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure
Boloorani, Ali Darvishi; Erasmi, Stefan; Kappas, Martin (Sensors, 2008)In this work a new gap-fill technique entitled projection transformation has been developed and used for filling missing parts of remotely sensed imagery. In general techniques for filling missing areas of an image break ... -
Retrieval of Coarse-Resolution Leaf Area Index over the Republic of Kazakhstan Using NOAA AVHRR Satellite Data and Ground Measurements
Propastin, Pavel; Kappas, Martin (Remote Sensing, 2012)A new multi-decade national-wide coarse-resolution data set of leaf area index (LAI) over the Republic of Kazakhstan has been developed based on data from the Advanced Very High Resolution Radiometer (AVHRR) and in situ ...