Download or read book A Land Use and Land Cover Classification System for Use with Remote Sensor Data written by James Richard Anderson and published by . This book was released on 1976 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Land Use and Land Cover Classification System for Use with Remote Sensor Data written by James Richard Anderson and published by . This book was released on 1976 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Land Use and Land Cover Classification Systems written by James R. Anderson and published by . This book was released on 1980 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Guide to Land Cover and Use Classification Systems Employed by Western Governmental Agencies written by Ecology Consultants, inc and published by . This book was released on 1977 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Land use Classification System for Use with Remote Sensor Data written by James Richard Anderson and published by . This book was released on 1972 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Land Cover Classification System written by Antonio Di Gregorio and published by Food & Agriculture Org.. This book was released on 2005 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Based on the original software version 1 prepared by Antonio Di Gregorio and Louisa J.M. Jansen."

Download or read book Land Use Classification Systems written by Robert C. Scace and published by . This book was released on 1981 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Land Use Monitoring Division of Lands Directorate is in the process of developing a land use classification system for the purpose of measuring land use change in Canada"--Abstract.

Download or read book Land Use and Land Cover Semantics written by Ola Ahlqvist and published by CRC Press. This book was released on 2018-10-08 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the Important Role that the Semantics of Land Use and Land Cover Plays within a Broader Environmental Context Focused on the information semantics of land use and land cover (LULC) and providing a platform for reassessing this field, Land Use and Land Cover Semantics: Principles, Best Practices, and Prospects presents a comprehensive overview of fundamental theories and best practices for applying semantics in LULC. Developed by a team of experts bridging relevant areas related to the subject (LULC studies, ontology, semantic uncertainty, information science, and earth observation), this book encourages effective and critical uses of LULC data and considers practical contexts where LULC semantics can play a vital role. The book includes work on conceptual and technological semantic practices, including but not limited to categorization; the definition of criteria for sets and their members; metadata; documentation for data reuse; ontology logic restrictions; reasoning from text sources; and explicit semantic specifications, ontologies, vocabularies, and design patterns. It also includes use cases from applicable semantics in searches, LULC classification, spatial analysis and visualization, issues of Big Data, knowledge infrastructures and their organization, and integration of bottom-up and top-down approaches to collaboration frameworks and interdisciplinary challenges such as EarthCube. This book: Centers on the link between planning goals, objectives, and policy and land use classification systems Uses examples of maps and databases to draw attention to the problems of semantic integration of land use/cover data Discusses the principles used in a categorization Explores the origins and impacts of semantic variation using the example of land cover Examines how crowd science and human perceptions can be used to improve the quality of land cover datasets, and more Land Use and Land Cover Semantics: Principles, Best Practices, and Prospects offers an up-to-date account of land use/land cover semantics, looks into aspects of semantic data modeling, and discusses current approaches, ongoing developments, and future trends. The book provides guidance to anyone working with land use or land cover data, looking to harmonize categories, repurpose data, or otherwise develop or use LULC datasets.

Download or read book Land use classification systems an overview Working paper no 14 written by Robert C. Scace and published by . This book was released on 1981 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Developments in Soil Classification Land Use Planning and Policy Implications written by Shabbir A. Shahid and published by Springer Science & Business Media. This book was released on 2013-02-15 with total page 875 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the world’s population continues to expand, maintaining and indeed increasing agricultural productivity is more important than ever, though it is also more difficult than ever in the face of changing weather patterns that in some cases are leading to aridity and desertification. The absence of scientific soil inventories, especially in arid areas, leads to mistaken decisions about soil use that, in the end, reduce a region’s capacity to feed its population, or to guarantee a clean water supply. Greater efficiency in soil use is possible when these resources are properly classified using international standards. Focusing on arid regions, this volume details soil classification from many countries. It is only once this information is properly assimilated by policymakers it becomes a foundation for informed decisions in land use planning for rational and sustainable uses.

Download or read book An Analysis of Twenty Land Cover land Use Classification Systems for Their Potential Use to the Us Army written by Paul B. McCracken and published by . This book was released on 1987 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Development and Evaluation of Advanced Classification Systems Using Remotely Sensed Data for Accurate Land use land cover Mapping written by Hui Yuan and published by . This book was released on 2002 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keywords: land-use/land-cover, GIS, classification, remote sensing, mapping.

Download or read book A Land Use and Land Cover Classification System for Use with Remote Sensor Data written by and published by . This book was released on 1975 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Comparative Study of Two Land Classification Systems for Use with Remote Sensor Data written by Kirk C. McDaniel and published by . This book was released on 1974 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two standardized land classification systems designed for use with remote sensor data were studied comparatively. One of tile classification systems is proposed for review and testing in U.S. 0.S. Circular 671 (Legend I) (Anderson et al., 1972); the other is a hierarchial legend system in use since 1968 (Legend II) (Poulton, 1972). Both of these classification systems could be adopted for use by federal, state, and local agencies. Both are proposed for general use throughout the United States. The basic objective of this study was to determine through multistage sampling and photo interpretation testing, the advantages and disadvantages in each of these two land-use and resource classification systems. Each legend system was tested in terms of photo identification accuracy, ease of use, and completeness of land-use and resource categories. First level legend units from the two systems were mapped on a State of Oregon ERTS-1 space photo mosaic. The mapping effort was verified by a ground truth check. The results showed that 90 percent of the primary categories under Legend I, and 94 percent of the primary categories under Legend II were correctly interpreted. Second level legend units were mapped on high flight color infrared photography (scale 1:120, 000) taken over Marion County, Oregon. Results showed 88 percent of the secondary categories under Legend I, and 83 percent of the categories under Legend II to be correctly interpreted. A photo interpretation test was performed with a total of 15 different interpreters. The test involved identification of previously mapped categories on ERTS-1 and high flight imagery; and photographs taken of land-use subjects at ground level. Results of the test showed interpreters generally chose similar or analogous categories from the two systems when classifying test sites. Test sites classified by the interpreters and compared against a key were statistically analyzed by analysis of variance. The analysis showed no significant differences in the ability of interpreters to classify land-use subjects from either legend system. Extreme variation in the ability of interpreters to identify test sites existed between experience groups. Individuals with the most prior photo and land-use interpretation experience consistently identified test sites more accurately on ERTS-1 and high flight photos than the less experienced interpreters. A consolidated legend system for use with remote sensing data has been suggested. This legend draws together categories under Legends I and II that have the highest probability of being identified on space and high flight imagery, and which provide the most information at first and second levels of classification.

Download or read book Guide to Land Cover and Use Classification Systems Employed by Western Governmental Agencies written by Scott L. Ellis and published by . This book was released on 1977 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Historical Land Use Land Cover Classification Using Remote Sensing written by Wafi Al-Fares and published by Springer Science & Business Media. This book was released on 2013-06-25 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the development of remote sensing techniques focuses greatly on construction of new sensors with higher spatial and spectral resolution, it is advisable to also use data of older sensors (especially, the LANDSAT-mission) when the historical mapping of land use/land cover and monitoring of their dynamics are needed. Using data from LANDSAT missions as well as from Terra (ASTER) Sensors, the authors shows in his book maps of historical land cover changes with a focus on agricultural irrigation projects. The kernel of this study was whether, how and to what extent applying the various remotely sensed data that were used here, would be an effective approach to classify the historical and current land use/land cover, to monitor the dynamics of land use/land cover during the last four decades, to map the development of the irrigation areas, and to classify the major strategic winter- and summer-irrigated agricultural crops in the study area of the Euphrates River Basin.

Download or read book Redefining the Typology of Land Use in the Age of Big Data written by Liqun Chen (M.C.P.) and published by . This book was released on 2014 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land use classification is important as a standard for land use description and management. However, current land use classification systems are problematic. Labels such as "residential use" and "commercial use" do not fully reveal how the land use is used in terms of function, mix use and changes over time. As a result, land use planning is often a natural prompt of segregation; Land use is poorly connected with other fields of urban studies such as transportation and energy consumption. The problems of land use are partly because land use classification has been an expediency rather than of rigorous thought. However, recent researches about land use classification have mainly focused on the methods of estimating land use types, without challenging the conventional instructional definition of land use typology itself. In contrast, this thesis aims to ask a more fundamental question: what are the elements, the principles, and the process to build the land use typology for given purposes. This thesis accordingly proposes the syntax of developing a land use typology, where five basic elements compose the framework of land use description: land use function, land use intensity, land use connectivity, probability and scale. While the elements are abstract concepts, when developing a land use typology, each of them could be defined with specific measures for purposes such as land use planning, land use management, energy analysis, transportation study. After the land use typology is composed with the defined elements, it can be applied to examine land mixed use, land use conflict, land use change and estimation. The syntax then proposes the basic principles and process to develop a satisfied land use typology, with respect to the reliability and validity, the significance and necessity, the measurability and operability, and the adaptability and flexibility. With that, this thesis argues that beyond the theoretical definition, the practical context, such as data availability or planning schema will influence the feasibility of a land use typology. While the scope of the syntax could be limited by practical tools and availability of data, the coming age of big data provides a changing context of land use typology. The followed case study illustrates such a process of developing land use typology with geo-social network data. The case develops a social media based land use typology, collects data for two example cities: Boston, U.S and Shenzhen, China, and applies the defined land use typology to classify their uses of land. As a result, Boston's land use I classified by its function, intensity and the level of mix use; Shenzhen land use is classified by its intensity, connectivity and the level of mix use. Compared with the conventional land use classification systems, the social media based typology provides a more comprehensive description of land use, with its focuses on human activities of the city and multiple dimensions of urban land use. It also has advantages with the flexibility and efficiency of data collection. In conclusion, the syntax of land use typology highlights the process of building land use typology, by defining the basic components of land use typology. It enables many possibilities of land use description with the help of big data, and reserves enough space to go beyond the existing tools and techniques. At last, the thesis proposes for future studies on the different interpretations of the syntax, its application on planning tools and systems, and potential for new types of land use.