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001452059 001__ 1452059
001452059 003__ OCoLC
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001452059 019__ $$a1357014952
001452059 020__ $$a9789811942006$$q(electronic bk.)
001452059 020__ $$a9811942005$$q(electronic bk.)
001452059 020__ $$z9789811941993
001452059 020__ $$z9811941998
001452059 0247_ $$a10.1007/978-981-19-4200-6$$2doi
001452059 035__ $$aSP(OCoLC)1356944508
001452059 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ$$dUKAHL
001452059 049__ $$aISEA
001452059 050_4 $$aSD387.R4
001452059 08204 $$a634.9028$$223/eng/20230119
001452059 24500 $$aConcepts and applications of remote sensing in forestry /$$cMohd Nazip Suratman, editor.
001452059 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001452059 264_4 $$c©2022
001452059 300__ $$a1 online resource (xvii, 458 pages)
001452059 336__ $$atext$$btxt$$2rdacontent
001452059 337__ $$acomputer$$bc$$2rdamedia
001452059 338__ $$aonline resource$$bcr$$2rdacarrier
001452059 500__ $$aIncludes index.
001452059 5050_ $$a1. Remote Sensing for Forest Inventory and Resources Assessment -- 2. Multiple Sensors and Platforms for Biophysical and Biochemical Characterizations of Various Ecosystem Types of Tropical Forests in Malaysia: Advance, Limitation and Opportunity -- 3. A Review on the Use of LiDAR Remote Sensing for Forest Landscape Restoration -- 4. Assessment and Modeling of Forest Biomass and Carbon Stock and Sequestration using Various Remote Sensing Sensor Systems -- 5. Spatial Modeling of Transport and Resources Accessibility for Protecting Forest Ecosystems Against Forest Fires -- 6. Assessment of Forest Aboveground Biomass Estimation from Superview-1 Satellite Image using Machine Learning Approaches -- 7. Floristic Distribution Modelling for Resource Partitioning of Four Native Tree Species in Azad Jammu and Kashmir (AJK), Pakistan using Maxent -- 8. Application of Remote Sensing Vegetation Indices for Forest Cover Assessments -- 9. Rainforest Assessment in Brunei Darussalam through Application of Remote Sensing -- 10. Rubber Trees and Biomass Estimation Using Remote Sensing Technology -- 11. The Use of Landsat TM Imagery for the Application of Rubber Tree Area and Stand Volume Predictive Models in Rubber Plantations in Selangor, Malaysia -- 12. Using Historical Disturbance Identified with LandTrendr in Google Earth Engine for Land Cover Mapping of Oil Palm Landscapes -- 13. Geospatial Technology - Unlocking the Management and Monitoring in Malaysian Mangrove Forests -- 14. Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area using Remote Sensing Approach -- 15. Spatio-temporal Distribution of Mangrove at Kuala Sepetang Forest Reserve, Malaysia using Remotely-sensed Data -- 16. Determination of The Effect of Urban Forests and Other Green Areas on Surface Temperature in Antalya -- 17. Conceptualising the Citizen-Driven Urban Forest Framework to Improve Local Climate Condition: Geospatial Data Fusion and Numerical Simulation -- 18. State-of-the-Art on Airborne LiDAR Applications in the Field of Forest Engineering -- 19. Restoration of Damaged Forest and Roles of Remote Sensing -- 20. Recent Advances in UAV-based Structure-from-motion Photogrammetry for Aboveground Biomass and Carbon Storage Estimations in Forestry -- 21. Hyperspectral Identification of Selected Dipterocarp Montane at the Species Level -- 22. Tree Biophysical Parameters Retrieval from Multi-source Remote Sensing Data Fusion.
001452059 506__ $$aAccess limited to authorized users.
001452059 520__ $$aThis edited book is a collection of information on recent advancements in remote sensing for forestry application. The main focus of this book is to address the novel applications in remote sensing in terms of recent techniques, sensors, methods and data collection. Remote sensing has been used for many decades. Today, remote sensing is heavily utilized in forest management, which is acquired from airborne and space-borne platforms using satellite data. In recent years, there have been rapid advances in the new types of sensors. The new generations of satellite sensors are introduced not only to provide important information on forest ecosystems, but also to improve the techniques and accuracies obtained by the traditional approaches. Researchers have become increasingly aware of the potential of remote sensing to address important forestry issues and challenges. The number of forestry publications using remote sensing has grown very rapidly, and this is noticeable with many recent technologies and applications. This book provides valuable source of reference to foresters, researchers, ecologists, climate change scientists and scholars who use remote sensing in their work. Furthermore, it serves as an academic book for undergraduate and graduate students of forestry, agriculture, natural resources and environmental sciences. The book demonstrates and engages the students how the new advancements in remote sensing technology and theory relate to the many real-world forestry applications. It gives readers deeper understanding on how remote sensing has come a long way and evolved into a mature science in the past five decades.
001452059 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 19, 2023).
001452059 650_0 $$aForests and forestry$$xRemote sensing.
001452059 655_0 $$aElectronic books.
001452059 7000_ $$aMohd. Nazip Suratman,$$eeditor.
001452059 77608 $$iPrint version: $$z9811941998$$z9789811941993$$w(OCoLC)1322368540
001452059 852__ $$bebk
001452059 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-4200-6$$zOnline Access$$91397441.1
001452059 909CO $$ooai:library.usi.edu:1452059$$pGLOBAL_SET
001452059 980__ $$aBIB
001452059 980__ $$aEBOOK
001452059 982__ $$aEbook
001452059 983__ $$aOnline
001452059 994__ $$a92$$bISE