Preprints

Filtering by Subject: Remote Sensing

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 [...]

A comprehensive study to understand the relationship of urbanization and population density with GRACE ΔTWS for selected study regions in India during 2003-2017

Amritendu Mukherjee, Parthasarathy Ramachandran

Published: 2020-10-24
Subjects: Environmental Indicators and Impact Assessment, Hydrology, Natural Resources and Conservation, Natural Resources Management and Policy, Planetary Hydrology, Remote Sensing, Sustainability, Water Resource Management

For the time period of January'2003 to January'2017, this pan-India study investigates the relationship of urbanization and population density with Ground Water Storage (GWS) indicated by Gravity Recovery and Climate Experiment (GRACE) derived terrestrial water storage changes (

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 [...]

Climate has contrasting direct and indirect effects on armed conflicts

David Helman, Ben Zaitchik, Chris Funk

Published: 2020-07-08
Subjects: Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Environmental Studies, Geography, Human Geography, International and Area Studies, Library and Information Science, Life Sciences, Nature and Society Relations, Physical and Environmental Geography, Physical Sciences and Mathematics, Remote Sensing, Social and Behavioral Sciences, Statistics and Probability

There is an active debate regarding the influence that climate has on the risk of armed conflict, which stems from challenges in assembling unbiased datasets, competing hypotheses on the mechanisms of climate influence, and the difficulty of disentangling direct and indirect climate effects. We use gridded historical non-state conflict records, satellite data, and land surface models in a [...]

Two Pixel Reference Algorithm

Ziheng Sun, Liping Di, Hui Fang

Published: 2020-06-18
Subjects: Engineering, Geography, Remote Sensing, Social and Behavioral Sciences

Object based image analysis (OBIA) has a unique process requirement: relate all the pixels in the segmented images to the vectorized polygons (pixel in polygon). The existing solutions are very slow in finding the pixels in a polygon. This paper proposes a novel algorithm called Two-Pixel-Reference to speed up the process. The algorithm is initially designed for segmented remote sensing images. [...]

A framework to quantify the human footprint in Africa using supply and demand of net primary production

Abdulhakim M Abdi

Published: 2020-05-29
Subjects: Environmental Indicators and Impact Assessment, Environmental Sciences, Geography, Nature and Society Relations, Physical and Environmental Geography, Physical Sciences and Mathematics, Remote Sensing, Social and Behavioral Sciences, Spatial Science, Sustainability

The human-environment connection in the mostly rural drylands of Africa forms a complex, interlinked system that provides ecosystem services. This system is susceptible to climatic variability that impacts the supply of its products, and high population growth, which impacts the demand for these products. When plants remove carbon dioxide from the atmosphere through the process of photosynthesis, [...]

Machine Learning on Greenest Pixels for Crop Mapping

Ziheng Sun, Liping Di, Hui Fang

Published: 2020-04-14
Subjects: Geography, Remote Sensing, Social and Behavioral Sciences

Remotely sensed signals from crop fields are full of variabilities due to the complex interactions among the environment, seeds, climate, market, and farmers. It is a common phenomenon that the crops in neighbouring fields are in different growing stages, e.g., the corns are in the V5 leaf stage in one field and V10 stage in another neighbouring field. The phenomenon results in remote sensing [...]

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 [...]

POSSIBILITIES OF CHANGE DETECTION OF TREE AND FOREST ATTRIBUTES BY COMBINING TERRESTRIAL LASER SCANNING BASED 3D POINT CLOUDS WITH UAV DATA

Ville Luoma, Tuomas Yrttimaa, Ville Kankare, Ninni Saarinen, Harri Kaartinen, Antero Kukko, Juha Hyyppä, Mikko Vastaranta, Markus Holopainen

Published: 2020-04-01
Subjects: Forest Management, Forest Sciences, Geography, Life Sciences, Remote Sensing, Social and Behavioral Sciences

Exact and up-to-date information about forest resources is needed for decision makers when planning the use of forests. Knowledge about changes in forest environment and tree growth is a key factor for example when predicting the effects of climate change and estimating the amount of biomass and sequestered carbon in forests. New technologies, such as unmanned aerial vehicles (UAVs), allow one to [...]

Integrating UAV photogrammetry with terrestrial laser scanning to characterize managed forest stands

Tuomas Yrttimaa, Ninni Saarinen, Ville Kankare, Niko Viljanen, Jari Hynynen, Saija Huuskonen, Markus Holopainen, Juha Hyyppä, Eija Honkavaara, Mikko Vastaranta

Published: 2020-03-04
Subjects: Forest Sciences, Geography, Life Sciences, Remote Sensing, Social and Behavioral Sciences

Terrestrial laser scanning (TLS) provides detailed three-dimensional representation of the surrounding forest structure. However, due to close-range hemispherical scanning geometry the ability of TLS technique to comprehensively characterize the upper parts of forest canopy is often limited. To overcome challenges in upper canopy characterization, TLS point cloud were complemented with a point [...]

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, [...]

The El Niño – La Niña cycle and recent trends in supply and demand of net primary productivity in African drylands

Abdulhakim M Abdi, Anton Vrieling, G. T. Yengoh, Assaf Anyamba, Jonathan Seaquist, Caroline C. Ummenhofer, Jonas Ardö

Published: 2019-04-24
Subjects: Climate, Environmental Sciences, Geography, Nature and Society Relations, Oceanography and Atmospheric Sciences and Meteorology, Physical and Environmental Geography, Physical Sciences and Mathematics, Remote Sensing, Social and Behavioral Sciences

The role of El Niño-Southern Oscillation (ENSO) in the balance between supply and demand of net primary productivity (NPP) over Africa is unclear. Here, we analyze the impact of ENSO on this balance in a spatially explicit framework using gridded population data from the WorldPop project, satellite-derived data on NPP supply, and statistical data from the United Nations. Our analyses demonstrate [...]

Balancing Open Science and Data Privacy in the Water Sciences

Samuel C Zipper, Kaitlin Stack Whitney, Jillian M. Deines, Kevin M. Befus, Udit Bhatia, Sam J. Albers, Janice Beecher, Christa Brelsford, Margaret Garcia, Tom Gleeson

Published: 2019-03-28
Subjects: Earth Sciences, Environmental Sciences, Environmental Studies, Geographic Information Sciences, Geography, Hydrology, Library and Information Science, Nature and Society Relations, Physical Sciences and Mathematics, Remote Sensing, Social and Behavioral Sciences, Spatial Science, Water Resource Management

Open science practices such as publishing data and code are transforming water science by enabling synthesis and enhancing reproducibility. However, as research increasingly bridges the physical and social science domains (e.g., socio-hydrology), there is the potential for well-meaning researchers to unintentionally violate the privacy and security of individuals or communities by sharing [...]

Opportunities for Classes of Geography in the High School: the Use of ’CORINE’ Project Data, Satellite Images and IDRISI GIS for Geovisualization

Polina Lemenkova

Published: 2019-02-13
Subjects: Adult and Continuing Education, Education, Educational Methods, Environmental Education, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Environmental Studies, Geographic Information Sciences, Geography, Higher Education, Human Geography, Natural Resources Management and Policy, Nature and Society Relations, Physical and Environmental Geography, Physical Sciences and Mathematics, Remote Sensing, Science and Mathematics Education, Social and Behavioral Sciences, Spatial Science, Sustainability

Presented work illustrates application of the GIS based processing of various geographic data: satellite images and CORINE (Coordination of Information on the Environment) layers at the lessons of geography in the high schools and universities. The research illustrates GIS application for understanding, visualizing and modeling landscapes of the Earth. Practically, the work aims to demonstrate [...]

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