Preprints

Filtering by Subject: Geographic Information Sciences

High resolution, annual maps of the characteristics of smallholder-dominated croplands at national scales

Lyndon D Estes, Su Ye, Lei Song, Boka Luo, J. Ronald Eastman, Zhenhua Meng, Qi Zhang, Dennis McRitchie, Stephanie R. Debats, Justus Muhando, Angeline H. Amukoa, Brian W. Kaloo, Jackson Makuru, Ben K. Mbatia, Isaac M. Muasa, Julius Mucha, Adelide M. Mugami, Judith M. Mugami, Francis W. Muinde, Fredrick M. Mwawaza, Jeff Ochieng, Charles J. Oduol, Purent Oduor, Thuo Wanjiku, Joseph G. Wanyoike, Ryan Avery, Kelly Caylor

Published: 2021-03-12
Subjects: Agriculture, Environmental Monitoring, Environmental Sciences, Geographic Information Sciences, Geography, Life Sciences, Natural Resources and Conservation, Physical and Environmental Geography, Physical Sciences and Mathematics, Remote Sensing, Spatial Science, Sustainability

Understanding agricultural change requires reliable, frequently updated maps that describe the characteristics of croplands. Such data are often unavailable for regions dominated by smallholder agricultural systems, which are particularly challenging for remote sensing. To overcome these challenges, we designed a system to minimize several sources of error that arise when mapping smallholder [...]

Linkage between the Forest Fires and the Meteorological Parameters during the current climatic regime using Spatial Clustering, Regression, and Combination Matrix Analysis

Manish Pandey, Aman Arora, Masood A Siddiqui, Satarupa Mitra, Naveen Pandey, Sangeeta Soni, Amanjot Kaur, U.K. Shukla

Published: 2021-02-25
Subjects: Geographic Information Sciences, Geography, Physical and Environmental Geography, Remote Sensing, Spatial Science

The present study has been carried out to assess the spatial behaviour of forest fire count (FFC) data and Climate Forecast System Reanalysis (CFSR) derived meteorological parameters in Uttar Pradesh to explore the linkages amongst them. Ten years (2005 to 2014) of forest fire event data and of meteorological data have been analysed using GIS overlay, ordinary least square (OLS) regression, [...]

The UK needs an open data portal dedicated to coastal flood and erosion hazard risk and resilience

Eli Lazarus, Sofia Aldabet, Charlotte E L Thompson, Chris T Hill, Robert J Nicholls, Jon R French, Sally Brown, Emma L Tompkins, Ivan D Haigh, Ian H Townend, Edmund C Penning-Rowsell

Published: 2020-12-17
Subjects: Geographic Information Sciences, Geomorphology, Natural Resources Management and Policy, Nature and Society Relations, Sustainability

In the UK, coastal flooding and erosion are two of the primary climate-related hazards to communities, businesses, and infrastructure. To better address the ramifications of those hazards, now and into the future, the UK needs to transform its scattered, fragmented coastal data resources into a systematic, integrated, quality-controlled, openly accessible data portal. Such a portal would support [...]

Optimizing Crop Cut Collection for Determining Field-Scale Yields in an Insurance Context

Ritvik Sahajpal, Inbal Becker-Reshef, Sylvain Coutu

Published: 2020-11-10
Subjects: Geographic Information Sciences, Geography, Other Engineering, Remote Sensing, Spatial Science

Accurately determining crop yields at field-scale can help farmers estimate their net profit, enable insurance companies to ascertain payouts, and when aggregated at regional and national scales, crop yield estimates are critical in ensuring food security. Over the last few decades, crop cuts have been widely used to estimate field-scale crop yields. Crop cuts, while cost prohibitive, are the [...]

Using Machine-Learning Models for Field-Scale Crop Yield and Condition Modeling in Argentina

Ritvik Sahajpal, Lucas Fontana, Pedro Lafluf, Guillermo Leale, Estefania Puricelli, Dan O’Neill, Mehdi Hosseini, Mauricio Varela, Inbal Becker-Reshef

Published: 2020-11-09
Subjects: Environmental Studies, Geographic Information Sciences, Remote Sensing, Spatial Science

Accurately determining crop growth progress and crop yields at field-scale can help farmers estimate their net profit, enable insurance compa-nies to ascertain payouts, and help in ensuring food security. At field scales, the troika of management, soil and weather combine to impact crop growth pro-gress, and this progress can be monitored in-season using satellite data. Here, we use satellite [...]

Reproducible Research and GIScience: an evaluation using GIScience conference papers

Frank Olaf Ostermann, Daniel Nüst, Carlos Granell, Barbara Hofer, Markus Konkol

Published: 2020-10-29
Subjects: Geographic Information Sciences

GIScience conference authors and researchers face the same computational reproducibility challenges as authors and researchers from other disciplines who use computers to analyse data. Here, to assess the reproducibility of GIScience research, we apply a rubric for assessing the reproducibility of 75 conference papers published at the GIScience conference series in the years 2012-2018. The rubric [...]

Structure-from-Motion on shallow reefs and beaches: potential and limitations of consumer-grade drones to reconstruct topography and bathymetry

C. Gabriel David, Nina Kohl, Elisa Casella, Alessio Rovere, Pablo Ballesteros, Torsten Schlurmann

Published: 2020-10-21
Subjects: Civil Engineering, Engineering, Environmental Engineering, Environmental Monitoring, Environmental Studies, Fluid Dynamics, Fresh Water Studies, Geographic Information Sciences, Hydraulic Engineering, Other Civil and Environmental Engineering, Other Environmental Sciences, Remote Sensing

Reconstructing the topography of shallow underwater environments using Structure-from-Motion – Multi View Stereo (SfM-MVS) techniques applied to aerial imagery from Unmanned Aerial Vehicles (UAVs) is a challenging problem, as it involves non-linear distortions caused by water refraction. This study presents an experiment with aerial photographs collected with a consumer-grade UAV on the [...]

Finding karstic caves and rockshelters in the Inner Asian mountain corridor using predictive modelling and field survey

Patrick Cuthbertson, Tobias Ullman, Christian Büdel, Aristeidis Varis, Abay Namen, Reimar Seltmann, Denné Reed, Zhaken Taimagambetov, Radu Iovita

Published: 2020-07-10
Subjects: Geographic Information Sciences, Geography, Physical and Environmental Geography, Social and Behavioral Sciences, Spatial Science

The area of the Inner Asian Mountain Corridor (IAMC) follows the foothills and piedmont zones around the northern limits of Asia’s interior mountains, connecting two important areas for human evolution: the Fergana valley and the Siberian Altai. Prior research has suggested the IAMC may have provided an area of connected refugia from harsh climates during the Pleistocene. To date, this region [...]

Concepts of space, time and scale

Mikko Vastaranta, Ninni Saarinen, Tuomas Yrttimaa, Timo Tokola

Published: 2020-04-11
Subjects: Forest Sciences, Geographic Information Sciences, Geography, Life Sciences, Social and Behavioral Sciences

Concepts of space, time and scale as well as their underpinning theories are crucial for understanding geospatial data. Space can be defined as a boundless, three-dimensional (3D) extent in which objects and events occur and have relative position and direction. Space has been considered to be absolute, meaning that it exists permanently and independently regardless of any matter in space. [...]

Fundamental laws and principles in geoinformation science

Mikko Vastaranta, Ninni Saarinen, Tuomas Yrttimaa, Timo Tokola

Published: 2020-04-11
Subjects: Forest Sciences, Geographic Information Sciences, Geography, Life Sciences, Social and Behavioral Sciences

Scientific laws are empirical statements, based on repeated experiments or observations, that describe or predict a range of natural phenomena. There are scientific laws and law-like statements also in the field of geoinformation sciences. Based on the Tobler’s first law of geography, “everything is related to everything else, but near things are more related than distant things”. This first law [...]

Individual tree detection and characterization using 3D remote sensing

Mikko Vastaranta, Ninni Saarinen, Tuomas Yrttimaa, Ville Kankare

Published: 2020-04-11
Subjects: Forest Sciences, Geographic Information Sciences, Geography, Life Sciences, Remote Sensing, Social and Behavioral Sciences

Here, we will cover individual tree detection and characterization using 3D remote sensing. Simply, it means that point clouds are collected over a forested area using airborne laser scanning (ALS) or created using photogrammetric image interpretation and further used to detect individual trees using different algorithms. After the tree detection, the attributes of interest are predicted for each [...]

Introduction to geoinformation science

Mikko Vastaranta, Ninni Saarinen, Tuomas Yrttimaa, Timo Tokola

Published: 2020-04-11
Subjects: Forest Sciences, Geographic Information Sciences, Geography, Life Sciences, Social and Behavioral Sciences

Here, we define a geoinformation system (GIS) as a system, which is designed to capture, store, manipulate, analyze, manage, and present geospatial data. In university education, we study geoinformation science that is the science underlying geographic concepts, applications, and systems. Geoinformation science is dedicated to advancing our understanding of geographic processes and spatial [...]

Decadal land-use/land-cover and land surface temperature change in Dubai and implications on the urban heat island effect: A preliminary assessment

Abdulhakim M Abdi

Published: 2019-06-05
Subjects: Environmental Sciences, Environmental Studies, Geographic Information Sciences, Geography, International and Area Studies, Near and Middle Eastern Studies, Other Environmental Sciences, Physical and Environmental Geography, Physical Sciences and Mathematics, Remote Sensing, Social and Behavioral Sciences

The emirate of Dubai is the most populous and most developed of the seven emirates that comprise the United Arab Emirates. By the end of the 20th century, the emirate had shifted its economy from being primarily petroleum-based to a focus on tourism and financial services. The emirate’s capital, also named Dubai, has been growing at a rapid pace; the population in 1999 was 862,000 inhabitants, [...]

Investigation of the Likelihood of Green Infrastructure (GI) Enhancement along Linear Waterways or on Derelict Sites (DS) Using Machine Learning.

S M Labib

Published: 2019-05-08
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Environmental Monitoring, Environmental Sciences, Geographic Information Sciences, Geography, Physical Sciences and Mathematics, Social and Behavioral Sciences, Spatial Science

Studies evaluating potential of Green Infrastructure (GI) development using traditional Boolean logic-based multi-criteria analysis methods are not capable of predicting future GI development under dynamic urban scape. This study evaluated robust soft-computing-based methods of artificial intelligence (Artificial Neural Network, Adaptive Neuro-Fuzzy Interface-System) and used statistical [...]

Route Schematization With Polygonal Landmarks

Marcelo Galvao, Angela Schwering, Jakub Krukar, Martin Nöllenburg

Published: 2019-04-18
Subjects: Geographic Information Sciences, Geography, Physical Sciences and Mathematics, Social and Behavioral Sciences

GPS-based navigation devices use large-scale visualizations of the route, where the focus lies on turn instructions. Although efficient on the wayfinding task, this approach does not support survey knowledge acquisition, which is essential for the user to build up a cognitive map and obtain orientation. Another visualization option is the small-scale topographic overview of the route. However, [...]

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