Remote Sensing of Human-Environment Interactions in Global Change Research: A Review of Advances, Challenges and Future Directions

The role of remote sensing and human–environment interactions (HEI) research in social and environmental decision-making has steadily increased along with numerous technological and methodological advances in the global environmental change field. Given the growing interand trans-disciplinary nature of studies focused on understanding the human dimensions of global change (HDGC), the need for a synchronization of agendas is evident. We conduct a bibliometric assessment and review of the last two decades of peer-reviewed literature to ascertain what the trends and current directions of integrating remote sensing into HEI research have been and discuss emerging themes, challenges, and opportunities. Despite advances in applying remote sensing to understanding ever more complex HEI fields such as land use/land cover change and landscape degradation, agricultural dynamics, urban geography and ecology, natural hazards, water resources, epidemiology, or paleo HEIs, challenges remain in acquiring and leveraging accurately georeferenced social data and establishing transferable protocols for data integration. However, recent advances in micro-satellite, unmanned aerial systems (UASs), and sensor technology are opening new avenues of integration of remotely sensed data into HEI research at scales relevant for decision-making purposes that simultaneously catalyze developments in HDGC research. Emerging or underutilized methodologies and technologies such as thermal sensing, digital soil mapping, citizen science, UASs, cloud computing, mobile mapping, or the use of “humans as sensors” will continue to enhance the relevance of HEI research in achieving sustainable development goals and driving the science of HDGC further.

[1]  Ryan Nel,et al.  Modelling informal Sand Forest harvesting using a Disturbance Index from Landsat, in Maputaland (South Africa) , 2017, Ecol. Informatics.

[2]  Qihao Weng,et al.  Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends , 2012 .

[3]  U. Lombardo,et al.  Mid- to late-Holocene fluvial activity behind pre-Columbian social complexity in the southwestern Amazon basin , 2012 .

[4]  Michael A. Wulder,et al.  Optical remote-sensing techniques for the assessment of forest inventory and biophysical parameters , 1998 .

[5]  Suyanto,et al.  Fire, People and Pixels: Linking Social Science and Remote Sensing to Understand Underlying Causes and Impacts of Fires in Indonesia , 2005 .

[6]  M. Capitani,et al.  Palaeoenvironments and palaeotopography of a multilayered city during the Etruscan and Roman periods: early interaction of fluvial processes and urban growth at Pisa (Tuscany, Italy) , 2015 .

[7]  J. Boyle,et al.  The recent history of hydro-geomorphological processes in the upper Hangbu river system, Anhui Province, China , 2009 .

[8]  T. Aide,et al.  Characterizing commercial oil palm expansion in Latin America: land use change and trade , 2017 .

[9]  David Gwenzi,et al.  Estimating Tree Crown Area and Aboveground Biomass in Miombo Woodlands From High-Resolution RGB-Only Imagery , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[10]  Nathalie Pettorelli,et al.  Satellite remote sensing, biodiversity research and conservation of the future , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[11]  Gessesse Dessie,et al.  Khat expansion and forest decline in wondo genet, ethiopia , 2008 .

[12]  Iro A. Georgopoulou,et al.  URBAN VEGETATION COVER EXTRACTION FROM HYPERSPECTRAL REMOTE SENSING IMAGERY AND GIS-BASED SPATIAL ANALYSIS TECHNIQUES : THE CASE OF ATHENS , GREECE , 2013 .

[13]  M. Murthy,et al.  Adoption of Geospatial Systems towards evolving Sustainable Himalayan Mountain Development , 2014 .

[14]  Jean-Christophe Castella,et al.  Agrarian transition and lowland-upland interactions in mountain areas in northern Vietnam: application of a multi-agent simulation model , 2005 .

[15]  N. Pettorelli,et al.  Tracking the effect of climate change on ecosystem functioning using protected areas: Africa as a case study , 2012 .

[16]  Shicheng Li,et al.  Evaluating the accuracy of Chinese pasture data in global historical land use datasets , 2018, Science China Earth Sciences.

[17]  Iphigenia Keramitsoglou,et al.  Evaluation of satellite-derived products for the characterization of the urban thermal environment , 2012 .

[18]  Koji Kajiwara,et al.  The examination of land products from GCOM-C1/SGLI , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[19]  M. Mohan,et al.  Impact of urbanization and land-use/land-cover change on diurnal temperature range: a case study of tropical urban airshed of India using remote sensing data. , 2015, The Science of the total environment.

[20]  G. Applegate,et al.  The Role of Fire in Changing Land Use and Livelihoods in Riau-Sumatra , 2004 .

[21]  Danny Lo Seen,et al.  Analysing plausible futures from past patterns of land change in West Burkina Faso , 2018 .

[22]  Jamie E. Shinn,et al.  Livelihood Dynamics Across a Variable Flooding Regime , 2018, Human Ecology.

[23]  Gail M. Williams,et al.  The landscape epidemiology of echinococcoses , 2016, Infectious Diseases of Poverty.

[24]  T. Johns,et al.  Exploring methods for rapid assessment of woody vegetation in the Batemi Valley, North-central Tanzania , 1999, Biodiversity & Conservation.

[25]  Yuji Murayama,et al.  Landscape pattern and ecosystem service value changes: Implications for environmental sustainability planning for the rapidly urbanizing summer capital of the Philippines , 2013 .

[26]  M. Everard Community-based groundwater and ecosystem restoration in semi-arid north Rajasthan (1): Socio-economic progress and lessons for groundwater-dependent areas , 2015 .

[27]  Xiaocong Xu,et al.  A New Global Land-Use and Land-Cover Change Product at a 1-km Resolution for 2010 to 2100 Based on Human–Environment Interactions , 2017 .

[28]  Christopher S. Galletti,et al.  Maxent modeling of ancient and modern agricultural terraces in the Troodos foothills, Cyprus , 2013 .

[29]  H. Nagendra,et al.  Landscapes of Protection: Forest Change and Fragmentation in Northern West Bengal, India , 2009, Environmental management.

[30]  Elinor Ostrom,et al.  Seeing the forest and the trees : human-environment interactions in forest ecosystems , 2005 .

[31]  Netra Chhetri,et al.  Rapid Urban Growth in the Kathmandu Valley, Nepal: Monitoring Land Use Land Cover Dynamics of a Himalayan City with Landsat Imageries , 2017 .

[32]  Jiyuan Liu,et al.  Spatiotemporal patterns and characteristics of land-use change in China during 2010–2015 , 2018, Journal of Geographical Sciences.

[33]  F. C. Conesa,et al.  CORONA Photographs in Monsoonal Semi‐arid Environments: Addressing Archaeological Surveys and Historic Landscape Dynamics over North Gujarat, India , 2015 .

[34]  N. Pricope,et al.  Spatio-Temporal Analysis of Vegetation Dynamics in Relation to Shifting Inundation and Fire Regimes: Disentangling Environmental Variability from Land Management Decisions in a Southern African Transboundary Watershed , 2015 .

[35]  K. Jones,et al.  Disturbance patterns in a socio-ecological system at multiple scales , 2006 .

[36]  N. Pettorelli,et al.  Satellite remote sensing for applied ecologists: opportunities and challenges , 2014 .

[37]  Hanspeter Liniger,et al.  Land degradation assessment in the Argentinean Puna: Comparing expert knowledge with satellite-derived information , 2019, Environmental Science & Policy.

[38]  Oğuz Hakan A software tool for retrieving land surface temperature from ASTER imagery , 2015 .

[39]  M. Schaepman,et al.  Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006 , 2009 .

[40]  Núria Devanthéry,et al.  Use of Satellite SAR for Understanding Long-Term Human Occupation Dynamics in the Monsoonal Semi-Arid Plains of North Gujarat, India , 2014, Remote. Sens..

[41]  Kaishan Song,et al.  Land use changes in Northeast China driven by human activities and climatic variation , 2009 .

[42]  Nicholas C. Coops,et al.  Integrating remote sensing and local ecological knowledge to monitor rangeland dynamics , 2017 .

[43]  Kurt H. Riitters,et al.  Source/Sink Patterns of Disturbance and Cross-Scale Mismatches in a Panarchy of Social-Ecological Landscapes , 2008 .

[44]  Rosa Maria Roman Cuesta,et al.  Human interactions with the Earth system: people and pixels revisited , 2008 .

[45]  Enrico R. Crema,et al.  High and Medium Resolution Satellite Imagery to Evaluate Late Holocene Human-Environment Interactions in Arid Lands: A Case Study from the Central Sahara , 2017, Remote. Sens..

[46]  H. Nagendra Using remote sensing to assess biodiversity , 2001 .

[47]  S. Purkis,et al.  A half-century of coastline change in Diego Garcia – The largest atoll island in the Chagos , 2016 .

[48]  Geotechnologies in Place and the Environment , 2009 .

[49]  Valentina Robiglio,et al.  Integrating local and expert knowledge using participatory mapping and GIS to implement integrated forest management options in Akok, Cameroon , 2005 .

[50]  P. Hostert,et al.  Forest Cover Dynamics During Massive Ownership Changes – Annual Disturbance Mapping Using Annual Landsat Time-Series , 2015 .

[51]  Jane Southworth,et al.  Tourism, forest conversion, and land transformations in the Angkor basin, Cambodia , 2009 .

[52]  Sassan Saatchi,et al.  Wetland restoration prioritizing, a tool to reduce negative effects of drought; An application of multicriteria-spatial decision support system (MC-SDSS) , 2018 .

[53]  H. Kerem Cigizoglu,et al.  Integration of Information for Environmental Security , 2008 .

[54]  R. Sukumar,et al.  Social-ecological systems in the Anthropocene: The need for integrating social and biophysical records at regional scales , 2015 .

[55]  Clement Atzberger,et al.  Satellite-based analysis of the role of land use/land cover and vegetation density on surface temperature regime of Delhi, India , 2009 .

[56]  Forrest R. Stevens,et al.  Addressing Integration Challenges of Interdisciplinary Research in Social-Ecological Systems , 2019, Society & Natural Resources.

[57]  N. Pricope,et al.  Operationalizing Vulnerability: Land System Dynamics in a Transfrontier Conservation Area , 2019, Land.

[58]  Melinda Laituri,et al.  Assessing the distribution and impacts of Prosopis juliflora through participatory approaches , 2016 .

[59]  Christian E. Torgersen,et al.  Airborne thermal remote sensing for water temperature assessment in rivers and streams , 2001 .

[60]  Guangyin Hu,et al.  The developmental trend and influencing factors of aeolian desertification in the Zoige Basin, eastern Qinghai-Tibet Plateau , 2015 .

[61]  F. Vermeulen,et al.  Geoarchaeological study of abandoned Roman urban and suburban contexts from central Adriatic Italy , 2018 .

[62]  George Xian,et al.  Assessments of urban growth in the Tampa Bay watershed using remote sensing data , 2005 .

[63]  N. Pettorelli,et al.  Using the satellite-derived NDVI to assess ecological responses to environmental change. , 2005, Trends in ecology & evolution.

[64]  Xiangming Xiao,et al.  Status of land use intensity in China and its impacts on land carrying capacity , 2017, Journal of Geographical Sciences.

[65]  Yun Hye Hwang,et al.  Deforestation in a tropical compact city (Part A): Understanding its socio-ecological impacts , 2016 .

[66]  Kurt H. Riitters,et al.  Patterns of disturbance at multiple scales in real and simulated landscapes , 2007, Landscape Ecology.

[67]  Oumar Sy,et al.  People and pixels in the Sahel: a study linking coarse-resolution remote sensing observations to land users’ perceptions of their changing environment in Senegal , 2014 .

[68]  J. Townshend,et al.  Global land change from 1982 to 2016 , 2018, Nature.

[69]  M. Hopton,et al.  Measuring urban tree loss dynamics across residential landscapes. , 2018, The Science of the total environment.

[70]  Thomas Blaschke,et al.  Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems - An Overview , 2011, Remote. Sens..

[71]  Arnold K. Bregt,et al.  A method to define a typology for agent-based analysis in regional land-use research , 2008 .

[72]  Richard J. Hobbs,et al.  Advances in restoration ecology: rising to the challenges of the coming decades , 2015 .

[73]  T. Davies,et al.  Community-based groundwater and ecosystem restoration in semi-arid north Rajasthan (3): Evidence from remote sensing , 2016 .

[74]  Erle C. Ellis,et al.  A global assessment of market accessibility and market influence for global environmental change studies , 2011, Environmental Research Letters.

[75]  Takuya Iwamura,et al.  Agent-based modeling of hunting and subsistence agriculture on indigenous lands: Understanding interactions between social and ecological systems , 2014, Environ. Model. Softw..

[76]  U. Lombardo,et al.  Raised fields in the Bolivian Amazonia: a prehistoric green revolution or a flood risk mitigation strategy? , 2011 .

[77]  Yoshiaki Honda,et al.  Global environment monitoring using the next generation satellite sensor, SGLI/GCOM-C , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[78]  Weida Yin,et al.  Sub-pixel vs. super-pixel-based greenspace mapping along the urban–rural gradient using high spatial resolution Gaofen-2 satellite imagery: a case study of Haidian District, Beijing, China , 2017 .

[79]  J. Sogbedji,et al.  Remote Sensing-Based and Participatory Analysis of Forests, Agricultural Land Dynamics, and Potential Land Conservation Measures in Kloto District (Togo, West Africa) , 2018, Soil Systems.

[80]  Tinghua Ai,et al.  A dynamic analysis of regional land use and cover changing (LUCC) by remote sensing and GIS: taking Fuzhou area as example , 2010, Defense + Commercial Sensing.

[81]  Richard M Cowling,et al.  Expert-derived monitoring thresholds for impacts of megaherbivores on vegetation cover in a protected area. , 2016, Journal of environmental management.

[82]  D. Closson,et al.  Sustainable development and anthropogenic induced geomorphic hazards in subsiding areas , 2016 .

[83]  Sabine Grunwald,et al.  Digital Soil Mapping and Modeling at Continental Scales: Finding Solutions for Global Issues , 2011 .

[84]  C. Chapman,et al.  Parks, People and Pixels: Evaluating Landscape Effects of an East African National Park on its Surroundings , 2010 .

[85]  John B. Vogler,et al.  Land-Use and Land-Cover Change in Montane Mainland Southeast Asia , 2005, Environmental management.

[86]  Yoshiaki Honda,et al.  The possibility of SGLI/GCOM-C for global environment change monitoring , 2006, SPIE Remote Sensing.

[87]  Mike Calver,et al.  Why discrepancies in searching the conservation biology literature matter , 2017 .

[88]  Marco Pautasso,et al.  The jump in network ecology research between 1990 and 1991 is a Web of Science artefact , 2014 .

[89]  Patrick Hostert,et al.  Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP , 2015, Remote. Sens..

[90]  The Role Of Remote Sensing And Gis For Security , 2008 .

[91]  U. Lombardo,et al.  Human–environment interactions in pre-Columbian Amazonia: The case of the Llanos de Moxos, Bolivia , 2013 .

[92]  Mark D. McCoy The Race to Document Archaeological Sites Ahead of Rising Sea Levels: Recent Applications of Geospatial Technologies in the Archaeology of Polynesia , 2018 .

[93]  Hong Sung Jin,et al.  Multisensor Fusion of Landsat Images for High-Resolution Thermal Infrared Images Using Sparse Representations , 2017 .

[94]  B. Boruff,et al.  Subpixel land-cover classification for improved urban area estimates using Landsat , 2017 .

[95]  Michael Monticino,et al.  Models of natural and human dynamics in forest landscapes: Cross-site and cross-cultural synthesis , 2008 .

[96]  M. Wimberly,et al.  A multi-scale assessment of human and environmental constraints on forest land cover change on the Oregon (USA) coast range , 2004, Landscape Ecology.

[97]  Weicheng Wu,et al.  Land use and cover changes in the critical areas in northwestern China , 2004, SPIE Remote Sensing.

[98]  M. M. Brook Seeing the Forest and the Trees: Human-Environment Interactions in Forest Ecosystems by Emilio F. Moran and Elinor Ostrom, eds , 2006 .

[99]  Ilyas Nursamsi,et al.  Assessment of the successfulness of mangrove plantation program through the use of open source software and freely available satellite images , 2017 .

[100]  Thomas Blaschke,et al.  Contextual Sensing: Integrating Contextual Information with Human and Technical Geo-Sensor Information for Smart Cities , 2015, Sensors.

[101]  F. Haag,et al.  Perspectives on Local Environmental Security, Exemplified by a Rural South African Village , 2005, Environmental management.

[102]  Zola K. Moon,et al.  Deforestation Near Public Lands: An Empirical Examination of Associated Processes , 2013 .

[103]  Jian Peng,et al.  Vegetation coverage change and associated driving forces in mountain areas of Northwestern Yunnan, China using RS and GIS , 2012, Environmental Monitoring and Assessment.

[104]  Gregory N. Taff,et al.  Using satellite data to monitor land-use land-cover change in North-eastern Latvia , 2014, SpringerPlus.

[105]  Y. Murayama,et al.  Intensity and spatial pattern of urban land changes in the megacities of Southeast Asia , 2015 .

[106]  N. Drake,et al.  Prehistory and palaeoenvironments of the western Nefud Desert, Saudi Arabia , 2017 .

[107]  Şermin Tağil,et al.  The Relationship of Urban Expansion, Landscape Patterns and Ecological Processes in Denizli, Turkey , 2018, Journal of the Indian Society of Remote Sensing.