Dr.

Brian JOHNSON

The Ganges basin provides essential water for drinking, irrigation, industrial use and cooling of power generation facilities. Changes in the water availability induced by global climate change will impact on economic development as well as human life in this basin and beyond. Water competition among major consumers will become fiercer in the...

Generally, the characterization of land surface roughness is obtained from the analysis of height variations observed along transects (e.g., root mean square (RMS) height, correlation length, and autocorrelation function). These surface roughness measurements are then used as inputs for surface dynamics modeling, e.g., for soil erosion modeling...

To classify Very-High-Resolution (VHR) imagery, Geographic Object Based Image Analysis (GEOBIA) is the most popular method used to produce high quality Land-Use/Land-Cover maps. A crucial step in GEOBIA is the appropriate parametrization of the segmentation algorithm prior to the classification. However, little effort has been made to automatically...

This paper presents a collective sensing approach that integrates imperfect Volunteered Geographic Information (VGI) obtained through Citizen Science (CS) tree mapping projects with very high resolution (VHR) optical remotely sensed data for low-cost, fine-scale, and accurate mapping of trees in urban orchards. To this end, an individual tree crown...

The Shaksgam Valley, located on the north side of the Karakoram Mountains of western China, is situated in the transition zone between the Indian monsoon system and dry arid climate zones. Previous studies have reported abnormal behaviors of the glaciers in this region compared to the global trend of glacier retreat, so the region is of special...

A new method for classifying land cover features in high resolution satellite imagery was developed. The method involves (1) performing image segmentation to delineate homogeneous ground objects in the image, and (2) using a convolutional neural network classifier to extract the land cover of the segments (i.e. whether they represent buildings...

This 1-pager shows the potential impacts of land-use change on flooding in the Los Baños subwatershed of The Philippines. The built-up area of the subwatershed is projected to increase by ~65% (based on participatory mapping exercises conducted with local government staff members), which is estimated to result in a ~6% increase in the flood...

This 1-pager shows the potential impacts of land-use change on flooding in the Pila-Victoria subwatershed of The Philippines. The built-up area of the subwatershed is projected to increase by ~88% (based on participatory mapping exercises conducted with local government staff members), which is estimated to result in a ~5% increase in the flood...

Multiresolution segmentation (MRS) is one of the most commonly used image segmentation algorithms in the remote-sensing community. This algorithm has three user-defined parameters: scale, shape, and compactness. The scale parameter (SP) is the most crucial one in determining the average size of the image segments generated. Since setting this...

平成27 年11 月、日本では「気候変動の影響への適応計画」が閣議決定された。開発途上国の適応計画を支援することは日本の適応計画の戦略の一つとして盛り込まれており、科学的知見に基づいた有効な計画策定の支援を行うこととしている。本業務では、「平成27 年度適応イニシアティブ推進のための地域横断的人材育成等に向けた調査・検討業務」および「平成28 年度アジア太平洋地域における気候変動適応分野の知見共有、人材育成支援業務」を受けて、途上国側政府及び研究機関等との協働が可能となるよう、またアジア太平洋地域の適応に関する能力向上のための人材育成、知見共有等を行うことを目的とし、（１）特定地区における緩和と適応の双方を取り扱うパイロットプログラムに関する業務、（２）適応計画...