Observation and Reporting of Landforms and Landscape Dynamics by Citizens

Author(s):  
Daniel Hölbling ◽  
Sabine Hennig ◽  
Lorena Abad ◽  
Simon Ecke ◽  
Dirk Tiede

<p>The observation and reporting of flora and fauna with the help of citizen scientists has a long tradition. However, citizen science projects have also a high potential for the reporting and mapping of landforms, as well as for observing landscape dynamics. While remote sensing has opened up new mapping and monitoring possibilities at high spatial and temporal resolutions, there is still a growing demand for gathering (spatial) data directly in the field (reporting on actual events, landform characteristics, and landscape changes, provision of reference data and photos). This becomes even more relevant since climate change effects (e.g. glacier retreat, shift of precipitation regime, melting of permafrost) will likely result in more significant morphological changes with an impact on the landscape.</p><p>In the project citizenMorph (Observation and Reporting of Landscape Dynamics by Citizens; http://citizenmorph.sbg.ac.at) we developed a pilot web-based interactive application that allows and supports citizens to map and contribute field data (spatial data, in-situ information, geotagged photos) on landforms. Such features are, for example, mass movements (e.g. rockfall, landslide, debris flow), glacial features (e.g. rock glacier, moraine, drumlin), volcanic features (e.g. lava flow, lahar, mudpot), or coastal features (e.g. cliff, coastal erosion, skerry). To design and implement a system that fully matches experts’ and citizens’ requirements, that ensures that citizens benefit from participating in citizenMorph, and that provides extensive, high-quality data, citizen representatives (mainly high school students, students, and seniors) actively and directly took part in the development process. These users are considered as particularly critical, sensitive to usability and accessibility issues, and demanding when it comes to using information and communication technology (ICT). In line with the concept of participatory design, citizen representatives were involved in all steps of the development process: specification of requirements, design, implementation, and testing of the system. The generation of a pilot was done using Survey123 for ArcGIS, a survey to collect data in the field, i.e. type and location of the landform, overview image and image series of the landform, and the content management system WordPress to create a website to inform, guide and support the participants. Throughout the survey (https://arcg.is/15WPKv0) and the website, different kinds of information (e.g. project information, guidelines for data collection and reporting, data protection information) are given to the participants. The final citizenMorph system was tested and discussed on several events with citizen representatives in Austria, Germany, and Iceland. Feedback from the tests was gathered using techniques such as observation, focus groups, and interviews/questionnaires. This allowed us to evaluate and improve the system as a whole.</p><p>The collected data, particularly the image series, are used for 3D reconstruction of the surface using Structure from Motion (SfM) and dense image matching (DIM) methods. Moreover, the collected data can be helpful for enriching and validating remote sensing based mapping results and increasing their detail and information content. Having a comprehensive database, holding field data and remote sensing data together, is of importance for any subsequent analysis and for broadening our knowledge about geomorphological landscape dynamics and the prevalence of landforms.</p>

2016 ◽  
Vol 16 ◽  
pp. 119-125
Author(s):  
R.L. Phillips ◽  
M.R. Eken ◽  
B.C. Rundquist

Livestock graze hill country regions worldwide where grassland biomass or structure is important both economically as forage and enviromentally as habitat for wildlife. Manual measurements of biomass in remote and expansive hill country landscapes are time consuming, expensive, and difficult to estimate due to spatiotemporal variability. Pasture areas where livestock utilisation or grassland biomass is exceptionally high or low could be mapped within a topographic framework. A model was developed that integrates several data sources (elevation, spectra and field data) to estimate hill-country biomass. Topographic data were modelled and used to classify biomass, which ranged from low at summits (1493 kg/ha) to high at toe-slopes (2876 kg/ha). These estimates were compared with the current plant height-based model, which ranged from low (2014 kg/ ha) to high (3032 kg/ha). This paper demonstrates how expansive, heterogeneous grassland landscapes can be assessed seasonally using topographic markers within an integrated spatial data framework. Keywords: Remote sensing, DEM, structure, Landsat 8, forage utilisation, graziers


Author(s):  
Sabine Hennig ◽  
Lorena Abad ◽  
Daniel Hölbling

Citizen science, aiming at integrating citizens, their commitment and knowledge into scientific research, is a powerful way to create additional research outputs and scientific knowledge. This is particularly true when geospatial technology is used to enable citizens to contribute spatial data. While fields such as biology and ecology make abundant use of geo citizen science, only a limited number of projects approach topics related to geomorphology. Due to climate change and its impact on the Earth’s surface, research activities that use citizen science are considered very useful to support the work of geomorphologists. However, geomorphology is a complex topic to engage with citizens. Thus, to reach and involve citizens in geomorphological research, we need spatial data collection tools that are tailored to their needs and raise their interest in geomorphology. For this, participatory design is a valuable option since it allows us to get comprehensive information about citizens and their requirements and to integrate this information into the development process. Now, does participatory design reveal requirements otherwise unknown to the developers? What additional efforts must be made when cooperating with citizens in participatory design? The citizenMorph project, which addresses these questions, found that detailed and valuable insights can be gained (regarding, e.g., information delivery, design issues, and community building), but also that additional efforts are required in terms of the composition of the project team, the interaction and communication during the development process, and the selection of methods, tools and material to be used.


Author(s):  
Tayeb Sitayeb ◽  
Ishak Belabbes

Abstract Landscape dynamics is the result of interactions between social systems and the environment, these systems evolving significantly over time. climatic conditions and biophysical phenomena are the main factors of landscape dynamics. Also, currently man is responsible for most changes affecting natural ecosystems. The objective of this work is to study the dynamics of a typical landscape of western Algeria in time and space, and to map the distribution of vegetation groups constitute the vegetation cover of this ecosystem. as well as using a method of monitoring the state of a fragile ecosystem by remote sensing to understand the processes of changes in this area. The steppe constitutes a large arid area, with little relief, covered with low and sparse vegetation. it lies between the annual isohyets of 100 to 400 mm, subjected to a very old human exploitation with an activity of extensive breeding of sheep, goats, and camels. Landsat satellite data were used to mapping vegetation groups in the Mecheria Steppe at a scale of 1: 300,000. Then, a comparison was made between the two maps obtained by a classification of Landsat-8 sensor Operational Land Imager (OLI) acquired on March 18, 2014, and Landsat-5 sensor Thematic Mapper (TM) acquired on April 25, 1987. The results obtained show the main changes affecting the natural distribution of steppe species, a strong change in land occupied by the Stipa tenacissima steppe with 65% of change, this steppe is replaced by Thymelaea microphylla, Salsola vermiculata, lygeum spartum and Peganum harmala steppe. an absence from the steppe Artemisia herba-alba that has also been replaced by the same previous steppes species. The groups with Quercus ilex and Juniperus phoenicea are characterized by a strong regression that was lost 60% of its global surface and transformed by steppe to stipa tenacissima and bare soil.


2020 ◽  
Vol 3 (2) ◽  
pp. 58-73
Author(s):  
Vijay Bhagat ◽  
Ajaykumar Kada ◽  
Suresh Kumar

Unmanned Aerial System (UAS) is an efficient tool to bridge the gap between high expensive satellite remote sensing, manned aerial surveys, and labors time consuming conventional fieldwork techniques of data collection. UAS can provide spatial data at very fine (up to a few mm) and desirable temporal resolution. Several studies have used vegetation indices (VIs) calculated from UAS based on optical- and MSS-datasets to model the parameters of biophysical units of the Earth surface. They have used different techniques of estimations, predictions and classifications. However, these results vary according to used datasets and techniques and appear very site-specific. These existing approaches aren’t optimal and applicable for all cases and need to be tested according to sensor category and different geophysical environmental conditions for global applications. UAS remote sensing is a challenging and interesting area of research for sustainable land management.


Author(s):  
Karina Dias-Silva ◽  
Thiago Bernardi Vieira ◽  
Talissa Pio de Matos ◽  
Leandro Juen ◽  
Juliana Simião-Ferreira ◽  
...  

Author(s):  
И.В. Бычков ◽  
Г.М. Ружников ◽  
В.В. Парамонов ◽  
А.С. Шумилов ◽  
Р.К. Фёдоров

Рассмотрен инфраструктурный подход обработки пространственных данных для решения задач управления территориальным развитием, который основан на сервис-ориентированной парадигме, стандартах OGC, web-технологиях, WPS-сервисах и геопортале. The development of territories is a multi-dimensional and multi-aspect process, which can be characterized by large volumes of financial, natural resources, social, ecological and economic data. The data is highly localized and non-coordinated, which limits its complex analysis and usage. One of the methods of large volume data processing is information-analytical environments. The architecture and implementation of the information-analytical environment of the territorial development in the form of Geoportal is presented. Geoportal provides software instruments for spatial and thematic data exchange for its users, as well as OGC-based distributed services that deal with the data processing. Implementation of the processing and storing of the data in the form of services located on distributed servers allows simplifying their updating and maintenance. In addition, it allows publishing and makes processing to be more open and controlled process. Geoportal consists of following modules: content management system Calipso (presentation of user interface, user management, data visualization), RDBMS PostgreSQL with spatial data processing extension, services of relational data entry and editing, subsystem of launching and execution of WPS-services, as well as services of spatial data processing, deployed at the local cloud environment. The presented article states the necessity of using the infrastructural approach when creating the information-analytical environment for the territory management, which is characterized by large volumes of spatial and thematical data that needs to be processed. The data is stored in various formats and applications of service-oriented paradigm, OGC standards, web-technologies, Geoportal and distributed WPS-services. The developed software system was tested on a number of tasks that arise during the territory development.


2019 ◽  
Author(s):  
◽  
Anh Thi Tuan Nguyen

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Economic as well as water shortage pressure on agricultural use of water has placed added emphasis on efficient irrigation management. Center pivot technology has made great improvement with variable rate irrigation (VRI) technology to vary water application spatially and temporally to maximize the economic and environmental return. Proper management of VRI systems depends on correctly matching the pivot application to specific field temporal and areal conditions. There is need for a tool to accurately and inexpensively define dynamic management zones, to sense within-field variability in real time, and control variable rate water application so that producers are more willing to adopt and utilize the advantages of VRI systems. This study included tests of the center pivot system uniformity performance in 2014 at Delta Research Center in Portageville, MO. The goal of this research was to develop MOPivot software with an algorithm to determine unique management areas under center pivot systems based on system design and limitations. The MOPivot tool automates prescriptions for VRI center pivot based on non-uniform water needs while avoiding potential runoff and deep percolation. The software was validated for use in real-time irrigation management in 2018 for VRI control system of a Valley 8000 center pivot planted to corn. The water balance model was used to manage irrigation scheduling. Field data, together with soil moisture sensor measurement of soil water content, were used to develop the regression model of remote sensing-based crop coefficient (Kc). Remote sensing vegetation index in conjunction with GDD and crop growth stages in regression models showed high correlation with Kc. Validation of those regression models was done using Centralia, MO, field data in 2016. The MOPivot successfully created prescriptions to match system capacity of the management zone based on system limitations for center pivot management. Along with GIS data sources, MOPivot effectively provides readily available graphical prescription maps, which can be edited and directly uploaded to a center pivot control panel. The modeled Kc compared well with FAO Kc. By combining GDD and crop growth in the models, these models would account for local weather conditions and stage of crop during growing season as time index in estimating Kc. These models with Fraction of growth (FrG) and cumulative growing degree days (cGDD) had a higher coefficient of efficiency, higher Nash-Sutcliffe coefficient of efficiency and higher Willmott index of agreement. Future work should include improvement in the MOPivot software with different crops and aerial remote sensing imagery to generate dynamic prescriptions during the season to support irrigation scheduling for real-time monitoring of field conditions.


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