Earth Observation for Monitoring and Modeling Land Use presents a practical guide and theoretical overview of the latest techniques and Earth observation technologies applied to land use and land cover change through qualitative assessment of Earth observation technologies. The chapters include detailed case studies, Earth observation datasets, and detailed applications of the technologies covered, presented in a way that each chapter is a self-contained guide on a specific application of Earth observation technologies to land use problems, ensuring all technical and background information is provided on each subject without the need for cross-referencing or searching for other sources. The book spatializes the understanding of monitoring land cover and use, and quantifies the challenges faced, allowing analysis of the dynamics of the territory in terms of occupation processes, land use, and its transformations. They book focuses on practical applications of using remote sensing and modeling that support new research in relation to monitoring of land use and spectral modelling, elucidating the importance of advanced methodologies in the coverage and use mappings of the Earth. Mainly in spatial cutouts that present great environmental dynamism, such as areas that have undergone major infrastructure work, are suffering from deforestation, or areas experiencing accelerated population growth. Earth Observation for Monitoring and Modeling Land Use offers up-to-date methodologies for postgraduate students, researchers, academics and professionals in the field of remote sensing, geography, land change study, geospatial research, environmental science, and sustainability, providing them with a critical overview of state-of-the-art Earth observation technologies in this subject.
Table of Contents
Section I. Earth Observation datasets for land use/land cover 1. Triangle method: evolution and application in the last decades 2. Soil quality assessment using hyperspectral remote sensing 3. Assessment of impervious surfaces using AVIRIS-NG datasets 4. Drone in high resolution land use assessment using artificial intelligence
Section II. Land use/land cover classification 5. Projecting soil organic carbon sequestration in Greece under future climate scenarios 6. Greek National Map of Soil Organic Carbon Sequestration Potential 7. The role of land use and disturbance history on the biological invasions: investigating the distribution and range expansion of acacia sp. In central Portugal using spatial-temporal data sources and GIS 8. Thermal behavior of building materials in the urban area, in the thermal responses of different types of urban land use 9. Vulnerability in areas of water hazards for remote observation with medium resolution images
Section III. Operational Earth Observation Tools for Monitoring and Modelling land use/land cover 10. Water Quality assessment using hyperspectral radiometer and stochastic modelling 11. Remote observation in Mapping the risk of burning in Brazil in areas of natural forests 12. Spatial cross-validation methods in predicting soil parameters using machine learning models 13. Spectral Modeling and Mixed-effects for analyzing land use change in the Brazilian Pantanal 14. Technological advances applied in spectral monitoring in agriculture
Section IV: Future Challenges and Perspectives 15. Modeling and predicting future land uses: state-of-the-art and application of Dyna-CLUE and Markov chain / cellular automata models 16. A geophysical model for estimating CO2 balance of tree crops in the Mediterranean 17. Groundwater management: cloud computing and remote sensing supporting water cycle monitoring
Authors
Daniela Fernanda Da Silva Fuzzo University of the State of Minas Gerais, Brazil.
Daniela Fernanda da Silva Fuzzo graduated in Geography from Universidade Estadual Paulista J�lio de Mesquita Filho (2008) and obtained her master's degree in Agronomy (Tropical and subtropical agriculture - Management of agri-environmental resources) from Instituto Agron�mico de Campinas (2011). She holds a PhD in Agricultural Engineering from the State University of Campinas (2015). She is currently a PhD Professor at the University of the State of Minas Gerais, with experience in orbital triangle methods, agrometeorological modeling, agricultural monitoring, crop estimation, land use analysis, precipitation, evapotranspiration, remote sensing, geoprocessing, cartography and geographic information systems (including ArcGis, QGis, Envi, and IDL) and is deputy coordinator of the research group CEDIAP-GEO (CNPq).
Dimitris Triantakonstantis Researcher, Soil Science Department, Institute of Soil and Water Resources, Hellenic Agricultural Organization DIMITRA, Greece.
Dimitris Triantakonstantis is a researcher in the soil science department of the Institute of Soil and Water Resources, Hellenic Agricultural Organization DIMITRA, Greece. He is an agronomist-soil scientist and Geographical Information Systems/Remote Sensing expert, having completed postgraduate studies in Environmental Management (Agricultural University of Athens) and GIS with Remote Sensing (University of Greenwich, UK). In 2006, he received his PhD in the field of geographic information systems, spatial statistics, and land use change modelling from the Agricultural University of Athens, Greece. He has undertaken postdoctoral research at Newcastle University (UK); ESF State University of New York (USA); the Foundation for Research and Technology Hellas, University of Thessaly (Greece) and the National Hellenic Research Foundation (Greece). His research interests lie in GIS and remote sensing of soil science, natural resource management and climate change mitigation and adaptation.
Jo�o Alberto Fischer Filho State University of Minas Gerais, Brazil.
Jo�o Alberto Fischer Filho graduated in Agronomic Engineering from the Faculty of Engineering of Ilha Solteira (2013), Master's (2015) and Doctorate (2018) in Agronomy (Soil Science) from Universidade Estadual Paulista (UNESP). He is currently a professor at the State University of Minas Gerais, Brazil and at the Municipal Institute of Higher Education of Bebedouro Vict�rio Cardassi, Brazil in the area of Agricultural Engineering. He is also an ad-hoc rapporteur for scientific journals, conference papers and scholarship-related processes, a member of the Brazilian Association of Agricultural Engineering (SBEA) and mainly works on the following areas: irrigated agriculture, irrigation management, and hydraulics for agricultural systems.
Prashant K. Srivastava Remote Sensing Laboratory, IESD, Banaras Hindu University, Varanasi, India.
Prashant Kumar Srivastava is working at IESD, Banaras Hindu University as a faculty and is also a visiting scholar with the Hydrological Sciences division at NASA Goddard Space Flight Center. He received his doctoral degree from the Department of Civil Engineering, University of Bristol, Bristol, UK. He received several awards such as NASA Fellowship, University of Maryland Fellowship, Commonwealth Fellowship, Early Career Research Award (ECRA, DST, India), CSIR as well as UGC- JRF-NET (2005, 2006). He is leading number of projects funded from reputed agencies in India as well as world. He is also a collaborator with NASA JPL on SMAP soil moisture calibration and validation as well as Scatsat-1, NISAR, AVIRIS-NG missions of India. He has published 130+ peer-reviewed journals and seven books. He is also acting as Associate Editor of Journal of Hydrology, Hydrological Sciences Journal, Remote Sensing (MDPI), Journal of Earth System Science, Environment Development and Sustainability, Environmental Processes, Cogent Environmental Sciences, Co-editor-in-Chief Bulletin of Environmental and Scientific Research and Guest Editor of Physics and Chemistry of the Earth, IJSLUP and JSRS.
Salim Lamine Professor in Remote Sensing (RS) and Precision Agriculture (PA), University of Bouira, Algeria.
Salim LAMINE is professor in Remote Sensing (RS) & Precision Agriculture (PA) at the University of Bouira. He received his PhD from the University of Aberystwyth (UK) in cooperation with the University of Sciences and Technology Houari Boumediene (Algeria). He studied the GNSS applications at the University of Nottingham (UK), and he worked as an assistant researcher at the university of Aberystwyth (UK). In 2017, He won the International Prize for the Environment "ECOWORLD� from the Russian Academy of Natural Sciences. Salim's research area includes Remote Sensing, Hyperspectral Imaging, Precision Agriculture, Field Spectroradiometry, Aerial and space mapping, Heavy metal mapping, Soil Geo-chemistry, GIS, GNSS, Validation of soil moisture data and energy fluxes from Earth Observation satellites and SVAT models. He serves as an editorial board member for several highly respected journals. He is author/co-author of +20 peer-reviewed papers published in highly respected journals, +50 international conferences and +3 book chapters.
