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Climate change and overpopulation have led to an increase in water demands worldwide. As a result, land subsidence due to groundwater extraction and water level decline is causing damage to communities in arid and semiarid regions. The agricultural plain of Samalghan in Iran has recently experienced wide areas of land subsidence, which is...

Soil moisture is a critical component for Earth science studies, and Synthetic Aperture Radar (SAR) data have high potential for retrieving soil moisture using backscattering models. In this study, polarimetric SAR (PALSAR: Phased Array type L-band Synthetic Aperture Radar) data and polarimetric decompositions including span, entropy/H/alpha, and...

Droughts and floods are some of the major climatic hazards in the semi-arid areas of Sub-Saharan Africa (SSA). Climate change affects the periodicity and severity of such hazards, and eventually the well-being of many rural communities in the region, including semi-arid Ghana. Enhancing the resilience of local communities to droughts and floods...

Operational monitoring of vegetation and its response to climate change involves the use of vegetation indices (VIs) in relation to relevant climatic data. This study analyses the temporal variations of vegetation indices in response to climatic data (temperature and precipitation) to better understand the phenological changes in the Wa -West and...

In this study, we measured and characterized the relative dielectric constant of mineral soils over the 0.3–3.0 frequency range, and compared our measurements with values of three dielectric constant simulation models (the Wang, Dobson, and Mironov models). The interrelationship between land cover and soil texture with respect to the dielectric...

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...

東京大学未来ビジョン研究センター･グローバルコモンズセンターにおける食料バリュ ーチェーンにおける環境負荷等の見える化プロジェクト活動を推進するために、本業務では、ベトナムにおけるコーヒー及びガーナにおけるカカオを対象とし、以下の調査・研究業務を実施した： バリューチェーンの構造調査･分析、同バリューチェーンにおける環境･社会･経済面の課題調査･ 分析、並びに同課題の改善･解決策の検討 バリューチェーンにおける環境･社会･経済面の課題に対する改善･解決策の定量･定性的な効果 検証 環境負荷等の見える化に向けたサステナビリティ評価モデル策定支援 本報告書は、以上の業務の成果を取りまとめたものである。