Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-7033-2.ch041
E. Stylianidis, A. Georgopoulos
Cultural Heritage is recognized as a priceless asset of human being, which exposes the humanity's achievements over centuries. The need for documentation and preservation of cultural heritage is well known worldwide. Digital surveying techniques are playing a catalytic role towards recording and documentation of cultural heritage. This chapter describes the methodological and technological aspects of image-based recording and documentation approaches acting as the vehicle for the digital surveying of cultural heritage. The chapter not only describes the different technologies and techniques used but also goes to the extent of clarifying several applied implementation issues. Three different examples and application case studies from a small, a medium and a large-scale cultural heritage objects are provided to demonstrate the developments.
{"title":"Digital Surveying in Cultural Heritage","authors":"E. Stylianidis, A. Georgopoulos","doi":"10.4018/978-1-5225-7033-2.ch041","DOIUrl":"https://doi.org/10.4018/978-1-5225-7033-2.ch041","url":null,"abstract":"Cultural Heritage is recognized as a priceless asset of human being, which exposes the humanity's achievements over centuries. The need for documentation and preservation of cultural heritage is well known worldwide. Digital surveying techniques are playing a catalytic role towards recording and documentation of cultural heritage. This chapter describes the methodological and technological aspects of image-based recording and documentation approaches acting as the vehicle for the digital surveying of cultural heritage. The chapter not only describes the different technologies and techniques used but also goes to the extent of clarifying several applied implementation issues. Three different examples and application case studies from a small, a medium and a large-scale cultural heritage objects are provided to demonstrate the developments.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82884440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-3440-2.CH004
B. Alemaw, T. R. Chaoka, B. Munyai
The study was motivated by the need to determine the spatial variation of ET and to test the applicability of RS based methods in arid to semi-arid climates with limited ground-based measurements. In this paper we present results of an effort of determining spatial actual evapotranspiration in the Limpopo basin, the Notwane subcatchment in the south-eastern part of Botswana, using remote sensing data from MODIS and Landsat Data sets. The Simplified Surface Energy Balance Index (S-SEBI) was applied to determine actual evapotranspiration using the seven bands of Landsat and MODIS surface reflectance and temperature channels. Three different dates were used to estimate ET from both Landsat and MODIS scenes. The estimated ET values from the two sensors show approximately equally comparable results. An assessment was also conducted to determine the factors influencing evapotranspiration. No strong correlation was identified for ET against the five factors investigated: Net radiation, NDVI, Surface Temperature, emissivity and surface albedo.
{"title":"Remote Sensing-Based Evapotranspiration Modelling for Agricultural Water Management in the Limpopo Basin","authors":"B. Alemaw, T. R. Chaoka, B. Munyai","doi":"10.4018/978-1-5225-3440-2.CH004","DOIUrl":"https://doi.org/10.4018/978-1-5225-3440-2.CH004","url":null,"abstract":"The study was motivated by the need to determine the spatial variation of ET and to test the applicability of RS based methods in arid to semi-arid climates with limited ground-based measurements. In this paper we present results of an effort of determining spatial actual evapotranspiration in the Limpopo basin, the Notwane subcatchment in the south-eastern part of Botswana, using remote sensing data from MODIS and Landsat Data sets. The Simplified Surface Energy Balance Index (S-SEBI) was applied to determine actual evapotranspiration using the seven bands of Landsat and MODIS surface reflectance and temperature channels. Three different dates were used to estimate ET from both Landsat and MODIS scenes. The estimated ET values from the two sensors show approximately equally comparable results. An assessment was also conducted to determine the factors influencing evapotranspiration. No strong correlation was identified for ET against the five factors investigated: Net radiation, NDVI, Surface Temperature, emissivity and surface albedo.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87730799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-7033-2.ch077
Xihuang Sun, Peng Liu, Yan Ma, Dingsheng Liu, Yechao Sun
The explosion of data and the increase in processing complexity, together with the increasing needs of real-time processing and concurrent data access, make remote sensing data streaming processing a wide research area to study. This paper introduces current situation of remote sensing data processing and how timely remote sensing data processing can help build future smart cities. Current research on remote sensing data streaming is also introduced where the three typical and open-source stream processing frameworks are introduced. This paper also discusses some design concerns for remote sensing data streaming processing systems, such as data model and transmission, system model, programming interfaces, storage management, availability, etc. Finally, this research specifically addresses some of the challenges of remote sensing data streaming processing, such as scalability, fault tolerance, consistency, load balancing and throughput.
{"title":"Streaming Remote Sensing Data Processing for the Future Smart Cities","authors":"Xihuang Sun, Peng Liu, Yan Ma, Dingsheng Liu, Yechao Sun","doi":"10.4018/978-1-5225-7033-2.ch077","DOIUrl":"https://doi.org/10.4018/978-1-5225-7033-2.ch077","url":null,"abstract":"The explosion of data and the increase in processing complexity, together with the increasing needs of real-time processing and concurrent data access, make remote sensing data streaming processing a wide research area to study. This paper introduces current situation of remote sensing data processing and how timely remote sensing data processing can help build future smart cities. Current research on remote sensing data streaming is also introduced where the three typical and open-source stream processing frameworks are introduced. This paper also discusses some design concerns for remote sensing data streaming processing systems, such as data model and transmission, system model, programming interfaces, storage management, availability, etc. Finally, this research specifically addresses some of the challenges of remote sensing data streaming processing, such as scalability, fault tolerance, consistency, load balancing and throughput.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89897567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-7033-2.ch075
Ghada A. El Khayat, Nada A. Fashal
The rapid advances in Information and Communication Technologies (ICT) contribute to the creation of ‘Smart Cities'/‘Knowledge Precincts' that use data, information and technologies to enable innovative business models. This contributes to the nations' development. For smart cities/knowledge precincts to realize the planned social and economic impact; they have to be well-located and planned. Creating connections among cities also contributes to their smartness. This, calls for concepts of inter and intra smartness contributed in this chapter. The question is: a) how to locate the components of the smart city internally and b) how to locate the smart cities relative to each other and to their communities. Location problems are tackled with optimization and Geographic Information Systems (GIS) tools. This chapter starts by giving definitions on the topic and then presents a survey on the ‘Smart Cities'/‘Knowledge Precincts' location problems that use optimization and GIS tools and concludes with avenues for future research.
{"title":"Inter and Intra Cities Smartness","authors":"Ghada A. El Khayat, Nada A. Fashal","doi":"10.4018/978-1-5225-7033-2.ch075","DOIUrl":"https://doi.org/10.4018/978-1-5225-7033-2.ch075","url":null,"abstract":"The rapid advances in Information and Communication Technologies (ICT) contribute to the creation of ‘Smart Cities'/‘Knowledge Precincts' that use data, information and technologies to enable innovative business models. This contributes to the nations' development. For smart cities/knowledge precincts to realize the planned social and economic impact; they have to be well-located and planned. Creating connections among cities also contributes to their smartness. This, calls for concepts of inter and intra smartness contributed in this chapter. The question is: a) how to locate the components of the smart city internally and b) how to locate the smart cities relative to each other and to their communities. Location problems are tackled with optimization and Geographic Information Systems (GIS) tools. This chapter starts by giving definitions on the topic and then presents a survey on the ‘Smart Cities'/‘Knowledge Precincts' location problems that use optimization and GIS tools and concludes with avenues for future research.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87595903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-3643-7.CH001
Dhanasekaran K. Pillai
This chapter focuses on the development of new computational models for remote sensing applications with big data handling method using image data. Furthermore, this chapter presents an overview of the process of developing systems for remote sensing and monitoring. The issues and challenges are presented to discuss various problems related to the handling of image big data in wireless sensor networks that have various real-world applications. Moreover, the possible solutions and future recommendations to address the challenges have been presented and also this chapter includes discussion of emerging trends and a conclusion.
{"title":"New Computational Models for Image Remote Sensing and Big Data","authors":"Dhanasekaran K. Pillai","doi":"10.4018/978-1-5225-3643-7.CH001","DOIUrl":"https://doi.org/10.4018/978-1-5225-3643-7.CH001","url":null,"abstract":"This chapter focuses on the development of new computational models for remote sensing applications with big data handling method using image data. Furthermore, this chapter presents an overview of the process of developing systems for remote sensing and monitoring. The issues and challenges are presented to discuss various problems related to the handling of image big data in wireless sensor networks that have various real-world applications. Moreover, the possible solutions and future recommendations to address the challenges have been presented and also this chapter includes discussion of emerging trends and a conclusion.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72713292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-7033-2.ch055
M. Buzzelli, D. Brown, Kenwoo Lee, Justin Mullan
The advent of user-generated content, crowdsourcing and other forms of lay data generation have led to opposing arguments about the quality and reliability of data in the geoweb. The main focus of this chapter is an ‘experiment' to test the quality, validity and lay monitoring of volunteered geographic information (VGI) data. Given the growing importance of VGI, in particular its very different sources and potential uses, it is important that we also consider how this movement affects the ways in which we re-envision the pedagogy of geographic education. Accordingly, a sub-theme of this paper focuses on the manner in which the VGI experiment is undertaken: the experiment is run with students as a means of complementing their otherwise technical GIS training with primary research that exposes them to the wider social issues and debates relating to geographic data. We discuss the implications of this research project both for observers of the development of VGI and the pedagogy of GIS teaching and learning.
{"title":"VGI in the Geoweb","authors":"M. Buzzelli, D. Brown, Kenwoo Lee, Justin Mullan","doi":"10.4018/978-1-5225-7033-2.ch055","DOIUrl":"https://doi.org/10.4018/978-1-5225-7033-2.ch055","url":null,"abstract":"The advent of user-generated content, crowdsourcing and other forms of lay data generation have led to opposing arguments about the quality and reliability of data in the geoweb. The main focus of this chapter is an ‘experiment' to test the quality, validity and lay monitoring of volunteered geographic information (VGI) data. Given the growing importance of VGI, in particular its very different sources and potential uses, it is important that we also consider how this movement affects the ways in which we re-envision the pedagogy of geographic education. Accordingly, a sub-theme of this paper focuses on the manner in which the VGI experiment is undertaken: the experiment is run with students as a means of complementing their otherwise technical GIS training with primary research that exposes them to the wider social issues and debates relating to geographic data. We discuss the implications of this research project both for observers of the development of VGI and the pedagogy of GIS teaching and learning.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78195179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-0498-6.CH008
K. Mahata, Subhasish Das, R. Das, Anasua Sarkar
Image segmentation among overlapping land cover areas in satellite images is a very crucial task. Detection of belongingness is the important problem for classifying mixed pixels. This paper proposes an approach for pixel classification using a hybrid approach of Fuzzy C-Means and Cellular automata methods. This new unsupervised method is able to detect clusters using 2-Dimensional Cellular Automata model based on fuzzy segmentations. This approach detects the overlapping regions in remote sensing images by uncertainties using fuzzy set membership values. As a discrete, dynamical system, cellular automaton explores uniformly interconnected cells with states. In the second phase of our method, we utilize a 2-dimensional cellular automata to prioritize allocations of mixed pixels among overlapping land cover areas. We experiment our method on Indian Ajoy river watershed area. The clustered regions are compared with well-known FCM and K-Means methods and also with the ground truth knowledge. The results show the superiority of our new method.
{"title":"Indian River Watershed Image Analysis Using Fuzzy-CA Hybrid Approach","authors":"K. Mahata, Subhasish Das, R. Das, Anasua Sarkar","doi":"10.4018/978-1-5225-0498-6.CH008","DOIUrl":"https://doi.org/10.4018/978-1-5225-0498-6.CH008","url":null,"abstract":"Image segmentation among overlapping land cover areas in satellite images is a very crucial task. Detection of belongingness is the important problem for classifying mixed pixels. This paper proposes an approach for pixel classification using a hybrid approach of Fuzzy C-Means and Cellular automata methods. This new unsupervised method is able to detect clusters using 2-Dimensional Cellular Automata model based on fuzzy segmentations. This approach detects the overlapping regions in remote sensing images by uncertainties using fuzzy set membership values. As a discrete, dynamical system, cellular automaton explores uniformly interconnected cells with states. In the second phase of our method, we utilize a 2-dimensional cellular automata to prioritize allocations of mixed pixels among overlapping land cover areas. We experiment our method on Indian Ajoy river watershed area. The clustered regions are compared with well-known FCM and K-Means methods and also with the ground truth knowledge. The results show the superiority of our new method.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73742780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-7033-2.ch033
Di Yang
A forest patterns map over a large extent at high spatial resolution is a heavily computation task but is critical to most regions. There are two major difficulties in generating the classification maps at regional scale: large training points sets and expensive computation cost in classifier modelling. As one of the most well-known Volunteered Geographic Information (VGI) initiatives, OpenstreetMap contributes not only on road network distributions, but the potential of justify land cover and land use. Google Earth Engine is a platform designed for cloud-based mapping with a strong computing power. In this study, we proposed a new approach to generating forest cover map and quantifying road-caused forest fragmentations by using OpenstreetMap in conjunction with remote sensing dataset stored in Google Earth Engine. Additionally, the landscape metrics produced after incorporating OpenStreetMap (OSM) with the forest spatial pattern layers from our output indicated significant levels of forest fragmentation in Yucatan peninsula.
{"title":"Mapping Regional Landscape by Using OpenstreetMap (OSM)","authors":"Di Yang","doi":"10.4018/978-1-5225-7033-2.ch033","DOIUrl":"https://doi.org/10.4018/978-1-5225-7033-2.ch033","url":null,"abstract":"A forest patterns map over a large extent at high spatial resolution is a heavily computation task but is critical to most regions. There are two major difficulties in generating the classification maps at regional scale: large training points sets and expensive computation cost in classifier modelling. As one of the most well-known Volunteered Geographic Information (VGI) initiatives, OpenstreetMap contributes not only on road network distributions, but the potential of justify land cover and land use. Google Earth Engine is a platform designed for cloud-based mapping with a strong computing power. In this study, we proposed a new approach to generating forest cover map and quantifying road-caused forest fragmentations by using OpenstreetMap in conjunction with remote sensing dataset stored in Google Earth Engine. Additionally, the landscape metrics produced after incorporating OpenStreetMap (OSM) with the forest spatial pattern layers from our output indicated significant levels of forest fragmentation in Yucatan peninsula.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77614700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-7033-2.ch060
H. Thomé-Ortiz
Wild edible fungi are non-timber forest products that have great relevance for forest communities in central Mexico. Texcaltitlán is a rural community known for its traditional ecological knowledge on the use and identification of wild edible mushrooms. The aim of this work is to link Geographic Information Systems and Traditional Ecological Knowledge, in order to generate Mycological Information Systems. This is a qualitative, quantitative and exploratory research, which seeks to determine the usefulness of Geographic Information Systems (GIS) to systematize and locate mycological resources for use as a tourist attraction. The results show the existence of a wide variety of edible mushrooms in the region, along with a wide mycological traditional knowledge. Both aspects reflect the existence of unique natural and cultural features that can be the basis to build a unique tourism product in central Mexico. It is concluded that GIS are useful tools to build a multifunctional vision of mushrooms.
{"title":"Information Mycological Systems and Traditional Ecological Knowledge","authors":"H. Thomé-Ortiz","doi":"10.4018/978-1-5225-7033-2.ch060","DOIUrl":"https://doi.org/10.4018/978-1-5225-7033-2.ch060","url":null,"abstract":"Wild edible fungi are non-timber forest products that have great relevance for forest communities in central Mexico. Texcaltitlán is a rural community known for its traditional ecological knowledge on the use and identification of wild edible mushrooms. The aim of this work is to link Geographic Information Systems and Traditional Ecological Knowledge, in order to generate Mycological Information Systems. This is a qualitative, quantitative and exploratory research, which seeks to determine the usefulness of Geographic Information Systems (GIS) to systematize and locate mycological resources for use as a tourist attraction. The results show the existence of a wide variety of edible mushrooms in the region, along with a wide mycological traditional knowledge. Both aspects reflect the existence of unique natural and cultural features that can be the basis to build a unique tourism product in central Mexico. It is concluded that GIS are useful tools to build a multifunctional vision of mushrooms.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82238504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.4018/978-1-4666-8222-1.CH010
S. Hameed
Globalization is an inevitable integrating process and vital to the world economy but it generates many challenges towards the integration of “economic independence” of the nation states like (a) economic integration through investment/trade and capital flow, (b) initiating multilateral political interaction between the countries, and (c) diffusion of dominant cultural values and beliefs over other cultures. globalization accelerates structural change, which alters the industrial structure of host countries, for instance the excessive use of natural resources and contributes to the physical environmental deterioration. Further, globalization transmits and magnifies market failures and policy distortions if not properly addressed. The chapter attempts to (a) identify the key links between globalization and environment deterioration, (b) identify some issues in multilateral economic agreements in trade, finance, investments, and intellectual property rights that affect environmental sustainability, (c) identify and review priority policy issues affecting multilateral economic agreements on environment issues.
{"title":"Retrospection of Globalisation Process and the Sustainability of Natural Environment in Developing Countries","authors":"S. Hameed","doi":"10.4018/978-1-4666-8222-1.CH010","DOIUrl":"https://doi.org/10.4018/978-1-4666-8222-1.CH010","url":null,"abstract":"Globalization is an inevitable integrating process and vital to the world economy but it generates many challenges towards the integration of “economic independence” of the nation states like (a) economic integration through investment/trade and capital flow, (b) initiating multilateral political interaction between the countries, and (c) diffusion of dominant cultural values and beliefs over other cultures. globalization accelerates structural change, which alters the industrial structure of host countries, for instance the excessive use of natural resources and contributes to the physical environmental deterioration. Further, globalization transmits and magnifies market failures and policy distortions if not properly addressed. The chapter attempts to (a) identify the key links between globalization and environment deterioration, (b) identify some issues in multilateral economic agreements in trade, finance, investments, and intellectual property rights that affect environmental sustainability, (c) identify and review priority policy issues affecting multilateral economic agreements on environment issues.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86011358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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