论文农业遥感与作物表型

Application of Remote Sensing and Geographic Information System in Groundwater Potential Assessment of Palladan, Zaria, Northwestern Nigeria

Research Square10月26日 · 周一阅读 1

阅读原文约 1 分钟阅读

核心看点

该研究属于遥感与GIS在水资源评估中的应用，与农业信息化有一定关联，但研究对象为尼日利亚地方性案例，影响范围有限，方法常规，不宜进入每日精选。

论文信息

Abdullahi Bala Abdullahi / Joseph Orojah Osumeje / Mahmood Umar 等 4 人

Research Square

DOI: 10.21203/rs.3.rs-11475899/v1 开放获取 PDF OpenAlex 档案

论文摘要

Application of Remote Sensing and Geographic Information System in Groundwater Potential Assessment of Palladan, Zaria, Northwestern Nigeria。Research Square

论文原文与出版信息

Research Square

查看论文原文

继续探索

技术

遥感地理信息系统

其他

地下水水资源评估

论文信息

论文摘要

继续探索

技术

其他

相关检索

相关阅读

Groundwater potential zoning in the Grande River Basin: A semi-arid region of Northeast Brazil

Development of an Explainable GeoAI Wildfire Risk Analysis Model Using Multi-Source Geospatial Data

Organic carbon sequestration potential in alluvial agricultural terraces: A case study of a lama-bordo system in Oaxaca, Mexico

TOPOGRAPHIC MAP AS A FUNDAMENTAL TOOL FOR PHYSICAL PLANNING AND SUSTAINABLE NATIONAL DEVELOPMENT

Hydrochemistry and modeling nitrate concentration in farmland groundwater under different hydrological seasons by integrating hybrid quantum-classical ML, virtual sample generation and AlphaEarth Foundation

Random Forest-Based Groundwater Potential Zone Mapping in Latur District, Maharashtra, India

Groundwater potential assessment using integrated multidisciplinary techniques in Shadadi, central Nigeria

Integrated Geoelectrical and Geospatial Assessment of Groundwater Variation in Selected Location, Port Harcourt, Rivers State, Nigeria

Groundwater Potential Mapping in Northwestern Nigeria: A Comparison of the Analytic Hierarchy Process and Galileo-Enhanced CAT-XGB

Geospatial analysis of irrigation suitability in Nigeria using remote sensing and GIS

Digital Mapping for Land Use Planning in Oko, a Rapidly Urbanizing Region of Southeastern Nigeria

Assessment of Groundwater Recharge Potential Using Integrated GIS, Remote Sensing, and Magnetotelluric Data in Banda Aceh-Indrapuri, Aceh Besar, Indonesia

MACHINE LEARNING BASED PREDICTION OF HYDROGEOLOGICAL PARAMETERS AND GROUNDWATER POTENTIAL INDEX USING GEOSPATIAL AND BOREHOLE DATA

A Conceptual Framework for Aquifer Delineation and Managed Aquifer Recharge in Deccan Trap Basaltic Terrain of Drought-Prone Area