Relevant bibliographies by topics / Forest Cover

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Forest Cover'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Forest Cover"

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Zhao, Wenqiong, Xinyan Zhong, Xiaodong Li, Xia Wang, Yun Du, and Yihang Zhang. "Automatic Mapping of 10 m Tropical Evergreen Forest Cover in Central African Republic with Sentinel-2 Dynamic World Dataset." Remote Sensing 17, no. 4 (2025): 722. https://doi.org/10.3390/rs17040722.

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Tropical evergreen forests represent the richest biodiversity in terrestrial ecosystems, and the fine spatial-temporal resolution mapping of these forests is essential for the study and conservation of this vital natural resource. The current methods for mapping tropical evergreen forests frequently exhibit coarse spatial resolution and lengthy production cycles. This can be attributed to the inherent challenges associated with monitoring diverse surface changes and the persistence of cloudy, rainy conditions in the tropics. We propose a novel approach to automatically map annual 10 m tropical
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Margono, Belinda Arunarwati, Ahmad Basyirudin Usman, Budiharto ., and Ruandha Agung Sugardiman. "Indonesia’s Forest Resource Monitoring." Indonesian Journal of Geography 48, no. 1 (2016): 7. http://dx.doi.org/10.22146/ijg.12496.

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Forest cover in term of distribution, extent and types, is major information required to manage the forest resources. Notably for Indonesia, which covers by approximately 98 Mha (>50%) forests, consist of 93 Mha (49.6%) natural forest and 5 Mha (2.6%) plantations forest. The forests are invaluable, including significantly preserve carbon, maintain unique biodiversity, support water and mineral cycle, as well as support local and global community. Here we report efforts have been made for years in the Ministry of Forestry for providing land cover information. Those efforts are including earl
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Suraj Reddy, R., G. Srivastava, G. Rajashekar, C. S. Jha, and V. K. Dadhwal. "Decadal forest cover loss analysis over Indian forests using MODIS 250m imagery." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 645–49. http://dx.doi.org/10.5194/isprsarchives-xl-8-645-2014.

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India is endowed with a rich forest cover. Over 21 % of country's area is covered by forest of varied composition and structure. Due to large amount of carbon stored in forests and their role in land surface and climatic processes, it is important to monitor forests for effective management and modeling studies. The disturbance regimes associated with forest regeneration and recovery, occurring in a heterogeneous matrix of confounding land covers makes forest monitoring an involved and complex task. Over a 13 year period (2000–2013), detection of forest cover loss at regional scale using a coa
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Sharma, L. N., B. Adhikari, M. F. Watson, et al. "Forest canopy resists plant invasions: a case study of Chromolaena odorata in Sal (Shorea robusta) forests of Nepal." Journal of Tropical Ecology 38, no. 2 (2022): 49–57. http://dx.doi.org/10.1017/s0266467421000456.

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AbstractInvasive alien species are a major threat to global biodiversity due to the tremendous ecological and economic damage they cause in forestry, agriculture, wetlands, and pastoral resources. Understanding the spatial pattern of invasive alien species and disentangling the biophysical drivers of invasion at the forest stand level is essential for managing forest ecosystems and the wider landscape. However, forest-level and species-specific information on Invasive Alien Plant Species (IAPS) abundance and their spatial extent are largely lacking. In this context, we analysed the cover of on
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Alule, RJ, E. Nuwategeka, and G. Oriangi. "Assessment of population dynamics and forest cover change in Yumbe District, Uganda." African Journal of Food, Agriculture, Nutrition and Development 23, no. 5 (2023): 23321–39. http://dx.doi.org/10.18697/ajfand.120.23720.

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Sub-Saharan Africa is well endowed with both renewable and non-renewable natural resources critical in supporting several forms of development on the continent. Key among these is natural forest resources. However, the population explosion in sub-Saharan Africa in general and Uganda, in particular, is threatening the survival of these forests due to the associated increasing demand for food, fodder, energy, and land for settlement. The study was conducted in Yumbe district where the forests considered included woodland and bushland since tropical high forests have been depleted or degraded by
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Philip, Amal, and Nirupama Elzabath K. "Three Decades of Green: A Comprehensive Analysis of India’s Forest Cover Dynamics from 1990 to 2021 Based on World Bank Data." Ecology, Environment and Conservation 30, Suppl (2024): S423—S426. http://dx.doi.org/10.53550/eec.2024.v30i06s.062.

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This study basically focuses on an overview of the dynamics of change of forest cover in India using data from the World Bank from 1990 to 2021. This research involves the quantification and analysis of trends in forest cover across different states and classes of forest types, drivers of change, and, finally, assessing the impact of conservation policy. Using World Bank reports, we adopted statistical modeling tools to assess the changes in forest cover, density, and composition. The study integrated other databases on the determinants of socioeconomics, climatic variables, and policy impleme
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Misrah, Misrah, and Ida Arianingsih. "Analysis of Land Cover Changes In The Forest Area of Lindu Citra District Using Sentinel 2A Images." Journal of Social Research 4, no. 6 (2025): 1063–74. https://doi.org/10.55324/josr.v4i6.2568.

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Land cover change in forest areas are complex phenomena that have ecological, social, and economic impacts. Remote sensing is very useful for monitoring and mapping land cover changes because it can provide information about the earth's surface quickly, accurately, easily, and covers a wide area. Sentinel-2A imagery is a satellite remote sensing data with a high spatial resolution and has been widely used for land cover mapping. The study intends to analyze land cover changes in the forest area of Lindu District using Sentinel-2A imagery. The study was conducted in the forest region of Lindu S
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Nguyen, An, Vasily Kovyazin, and Cong Pham. "Application of Remote Sensing and GIS in Monitoring Forest Cover Changes in Vietnam Based on Natural Zoning." Land 14, no. 5 (2025): 1037. https://doi.org/10.3390/land14051037.

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Forest cover changes monitoring in Vietnam has been conducted using remote sensing (RS) and geographic information systems (GIS). Given Vietnam’s diverse climate, this study focused on the Thanh Hoa, Kon Tum, and Dong Nai provinces due to their distinct natural conditions and forest structures. Land cover was classified into five categories: broadleaf forests, mixed forests, shrubland/grassland/agricultural land, non-forested areas, and water bodies. RS data processing was performed using Google Earth Engine (GEE), with land cover classification conducted via the Random Forest algorithm. The f
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Achmad, Eva, Fazriyas, Bambang Irawan, and Adi Karta Kusuma. "Forest cover changes analysis using Landsat Imageries over Pengabuan Watershed in Jambi Province." IOP Conference Series: Earth and Environmental Science 1095, no. 1 (2022): 012024. http://dx.doi.org/10.1088/1755-1315/1095/1/012024.

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Abstract The availability of land cover in the form of forest is very important in the watershed system (DAS). The decrease in forest cover and the carbon content stored in a watershed also shows a decline in the quality of the watershed. The research aims to examine changes in land cover that occurred during the last twenty years in the Pengabuan Watershed. Changes in land cover were obtained by classifying Landsat imagery from 1996 to 2017. Classification was carried out using the supervised classification method and visual interpretation and then followed by change detection analysis. The r
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Mohd Ghazali, Norzalyta, Mohd Nizam Mohd Said, Wan Shafrina Wan Mohd Jaafar, Aisyah Marliza Muhmad Kamarulzaman, and Siti Nor Maizah Saad. "Research Opportunity on Fractional Cover of Forest: A Bibliometric Review." Forests 13, no. 10 (2022): 1664. http://dx.doi.org/10.3390/f13101664.

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Forests are threatened globally by deforestation. Forest restoration at the landscape scale can reduce these threats. Ground-based and remote sensing inventories are needed to assess restoration success. Fractional canopy cover estimated from forest algorithms can be used to monitor forest loss, growth, and health via remote sensing. Various studies on the fractional cover of forest have been published. However, none has yet conducted a bibliometric analysis. Bibliometrics provide a detailed examination of a topic, pointing academics to new research possibilities. To the best of the authors’ k
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Dissertations / Theses on the topic "Forest Cover"

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Axelsson, Robert. "Forest policy, continuous tree cover forest and uneven-aged forest management in Sweden's boreal forest /." Uppsala : Institutionen för skogens produkter, Sveriges lantbruksuniversitet (SLU), 2008. http://epsilon.slu.se/10947312.pdf.

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Heras, Alejandro de las. "Predicting human impacts on tropical forest cover." Thesis, University of East Anglia, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443178.

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Dalberg, Terry, and Felix Svensson. "Forest Cover and Economic Development : A cross-country study on the relationship between forest cover and economic development in South America." Thesis, Jönköping University, IHH, Nationalekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53087.

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Ongoing deforestation is an urgent, global issue with both direct and indirect impacts on a nation’s future development. This as change in forest cover and economic development provides an intuitive link between each other. Deforestation is driven by the expectations of economic return through exploitation of natural resources in search for economic development. The purpose of this paper is to investigate the relationship between change in forest cover and economic development in South America between 1991 and 2019. Even if deforestation is considered widely studied, it remains an empirical qu
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Twongyirwe, Ronald. "Forests under threat? : changes in land use and forest cover in rural western Uganda." Thesis, University of Cambridge, 2015. https://www.repository.cam.ac.uk/handle/1810/252713.

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Deforestation and land use change are widespread in western Uganda. However, the spatial patterns and time-series of change and the reasons why it is occurring remain to be fully investigated. In this work a combination of satellite imagery and social surveys is used to quantify forest gains and loss over the last three decades in the region close to Lake Albert, whilst also providing an account of possible drivers of change. This area proves to be interesting as it covers regions with both formally protected areas (gazetted regions) and un-protected forest, the latter being largely under priv
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Crespo, Cuaresma Jesus, Olha Danylo, Steffen Fritz, et al. "Economic Development and Forest Cover: Evidence from Satellite Data." SpringerNature, 2017. http://dx.doi.org/10.1038/srep40678.

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Ongoing deforestation is a pressing, global environmental issue with direct impacts on climate change, carbon emissions, and biodiversity. There is an intuitive link between economic development and overexploitation of natural resources including forests, but this relationship has proven difficult to establish empirically due to both inadequate data and convoluting geo-climactic factors. In this analysis, we use satellite data on forest cover along national borders in order to study the determinants of deforestation differences across countries. Controlling for trans-border geo-climactic
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Crespo, Cuaresma Jesus, Olha Danylo, Steffen Fritz, Ian McCallum, Michael Obersteiner, and Linda See. "Economic Development and Forest Cover: Evidence from Satellite Data." WU Vienna University of Economics and Business, 2016. http://epub.wu.ac.at/4823/1/wp215.pdf.

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We use satellite data on forest cover along national borders in order to study the determinants of deforestation differences across countries. We combine the forest cover information with data on homogeneous response units, which allow us to control for cross-country geoclimatic differences when assessing the drivers of deforestation. Income per capita appears to be the most robust determinant of differences in cross-border forest cover and our results present evidence of the existence of decreasing effects of income on forest cover as economic development progresses.(authors' abstract)<br>Ser
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Mello, Kaline de. "Forest cover and water quality in tropical agricultural watersheds." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-03082017-101658/.

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Tropical forests are under continual threat due to deforestation and forest fragmentation processes which are driven by the economic activities growth, mainly agriculture. Replacing forest with other land uses can cause severe impacts on river water quality, altering its physical, chemical and biological characteristics. The Atlantic Forest, in particular, had its original vegetation cover reduced to about 11%, wherein the crop lands expansion and urban sprawl still threatening this important ecosystem and the ecosystem services that it provides. In this sense, the main objective of this study
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Bengana, M. (Mohamed). "Land cover and forest segmentation using deep neural networks." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201905101715.

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Tiivistelmä. Land Use and Land Cover (LULC) information is important for a variety of applications notably ones related to forestry. The segmentation of remotely sensed images has attracted various research subjects. However this is no easy task, with various challenges to face including the complexity of satellite images, the difficulty to get hold of them, and lack of ready datasets. It has become clear that trying to classify on multiple classes requires more elaborate methods such as Deep Learning (DL). Deep Neural Networks (DNNs) have a promising potential to be a good candidate for the t
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Main-Knorn, Magdalena. "Monitoring of forest cover change and modeling biophysical forest parameters in the Western Carpathians." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2012. http://dx.doi.org/10.18452/16562.

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Die Umweltveränderungen durch den Menschen sind auf unserer Erde allgegenwärtig. Entwaldung und Waldschädigung beeinflussen das System Erde entscheidend, denn Wälder bieten wichtige Ökosystemleistungen und sind Kernelement der Debatte um den Klimawandel, speziell hinsichtlich der globalen Kohlenstoffbilanz. Veränderungen der Waldbedeckung zu quantifizieren ist daher von herausragendem wissenschaftlichen Interesse. Ziel dieser Arbeit ist es, Waldbedeckungsveränderungen in den Westlichen Karpaten grenzübergreifend zu bestimmen, sowie Dynamiken der Biomasse von Nadelwäldern und deren Auswirkungen
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Briggs, Nathan A. "Forest Cover Change and Assessment of Drivers of Forest Conversion in Midcoast Maine between 2000 and 2006." Fogler Library, University of Maine, 2008. http://www.library.umaine.edu/theses/pdf/BriggsNA2008.pdf.

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Books on the topic "Forest Cover"

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Tamil Nadu (India). Forest Dept., ed. The Forest cover report. Govt. of Tamilnadu, Tamilnadu Forest Dept., 1990.

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IUCN East Africa Regional Office. and IUCN Eastern Africa Programme, eds. Forest cover and forest reserves in Kenya: Policy and practice. World Conservation Union, Eastern Africa Regional Office, 1996.

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N, Dhar T. Greening imperatives: Forestry & tree cover in U.P. Indian Institute of Public Administration & Society for Himalayan Environmental Rehabilitation and Peoples' Action, 2008.

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N, Kimani J., and Kenya. Dept. of Resource Surveys and Remote Sensing., eds. Forest cover mapping: Mau Forest complex. Dept. of Resource Surveys and Remote Sensing, Ministry of Environment and Natural Resources, 2007.

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Garfitt, J. E. Natural management of woods: Continuous cover forestry. Research Studies Press, 1995.

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Food and Agriculture Organization of the United Nations. and Forest Resources Assessment 1990 Project., eds. Forest resources assessment 1990: Survey of tropical forest cover and study of change processes. Food and Agriculture Organization of the United Nations, 1996.

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Third Forestry Development Project (Bhutan), ed. Selected LUPP forest cover statistics for Eastern Bhutan. Project Facilitation Office, 1994.

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Jamir, Wangshimenla. Forest cover of Nagaland. Mittal Publications, 2014.

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International, Workshop on Asian Forest Cover Assessment &. Conservation Issues (2002 Dehra Dūn India). Forest cover assessment in Asia: Proceeding of the International Workshop on Asian Forest Cover Assessment & Conservation Issues, 12-14 February, 2002, Dehra Dun, India. Indian Institute of Remote Sensing, 2002.

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Alig, Ralph J. Recent area changes in southern forest ownerships and cover types. Southeastern Forest Experiment Station, 1986.

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Book chapters on the topic "Forest Cover"

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Gadow, Klaus v., Chun Yu Zhang, Christian Wehenkel, et al. "Forest Structure and Diversity." In Continuous Cover Forestry. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2202-6_2.

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Hyytiäinen, Kari, and Robert G. Haight. "Optimizing Continuous Cover Forest Management." In Continuous Cover Forestry. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2202-6_6.

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Korpunen, Heikki, Yrjö Nuutinen, Paula Jylhä, et al. "Harvesting of Continuous Cover Forests." In Managing Forest Ecosystems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70484-0_6.

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Abstract Overall forest management objectives and stand properties set the requirements and possibilities for harvesting in continuous cover forestry (CCF). Harvester and forwarder operators play a key role in successful CCF harvesting, as both productivity and quality of work are essential factors in harvesting operations. Optimal stand conditions improve work productivity on selection harvesting sites; harvested stem volume correlates well with work productivity in cutting, and density of remaining trees does not significantly reduce work productivity in forwarding. Carefully executed group
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Mehtätalo, Lauri, Annika Kangas, Jeannette Eggers, et al. "Forest Planning and Continuous Cover Forestry." In Managing Forest Ecosystems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70484-0_5.

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Abstract Forest planning requires unbiased and sufficient information on current forest resources, their anticipated dynamics under different management scenarios, and the objectives of the decision maker. Forest planning systems need to be adapted to improve their potential to deal with continuous cover forestry (CCF). The current forest planning systems and associated models can be adapted to group systems by treating each group as a separate calculation unit. In the selection system, currently available growth models may not realistically describe the growth reaction of trees, which causes
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Dees, Matthias, Jan Duvenhorst, Claus Peter Gross, and Barbara Koch. "An Efficient Approach to Combine Remote Sensing and Sample Based Inventory for Forest Enterprises in Transition to Near-Natural Forest Management." In Continuous Cover Forestry. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9886-6_4.

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Koivula, Matti, Adam Felton, Mari Jönsson, et al. "Biodiversity." In Managing Forest Ecosystems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70484-0_11.

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Abstract This chapter summarises biodiversity responses to continuous cover forestry (CCF). The comparator throughout this chapter is rotation forestry (RF) and its main harvesting method—clearcutting—unless otherwise stated. Research on the biodiversity effects of logging methods applied in CCF (mostly selection or gap cutting) mainly concerns the short-term effects of measures taken in mature, originally fairly even-aged forests, at best 10–15 years after cutting. Thus far, no surveys or chronosequences cover the whole rotation period (60–100 years). Continuous cover forestry is likely to be
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García-Álvarez, David, and Javier Lara Hinojosa. "Global Thematic Land Use Cover Datasets Characterizing Vegetation Covers." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_19.

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AbstractVegetation covers were one of the first land covers to receive special attention when thematic Land Use Cover (LUC) maps first appeared. Interest in this subject has remained strong since then because of the valuable information that these datasets provide for monitoring forests, deforestation and climate change, among other issues. A wide variety of thematic LUC datasets characterizing vegetation covers are currently available. In this chapter, we review eleven of these datasets, most of which provide long series of LUC maps, so permitting the study of LUC change. In thematic terms, m
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Bravo, F., and B. Guerra. "Forest Structure and Diameter Growth in Maritime Pine in a Mediterranean Area." In Continuous Cover Forestry. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9886-6_10.

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Puumalainen, Janna, Matti Maltamo, and Annika Kangas. "Calibrating Predicted Diameter Distribution with Additional Information for Structurally Diverse Forest Stands." In Continuous Cover Forestry. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9886-6_9.

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Angelsen, Arild, David Kaimowitz, Jari Varjo, and Gerardo Mery. "Forest Cover and Agricultural Technology." In World Forests, Markets and Policies. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0664-4_16.

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Conference papers on the topic "Forest Cover"

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Liu, Bao, Siqi Chen, and Lei Gao. "GateSTNet: a novel model for mapping spatiotemporal forest cover." In Second International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), edited by Bin Zou and Yaoping Cui. SPIE, 2024. http://dx.doi.org/10.1117/12.3048637.

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Baldovino, Renann G., and Aldrin Joshua C. Tolentino. "Enhancing Forest Cover Type Classification Through Deep Learning Neural Networks." In 2024 9th International Conference on Mechatronics Engineering (ICOM). IEEE, 2024. http://dx.doi.org/10.1109/icom61675.2024.10652531.

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A S, Vickram, and Bhavani Sowndarya B. "Detection of Forest Cover Area in Satellite Image with CNN Segmentation." In 2025 International Conference on Electronics and Renewable Systems (ICEARS). IEEE, 2025. https://doi.org/10.1109/icears64219.2025.10941129.

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Khan, Kashif, Muhammad Fahim Khokar, Shahid Nawaz Khan, and Junaid Aziz Khan. "Characterizing Forest Cover Dynamics in the Khyber Pakhtunkhwa Region Using Remote Sensing." In 2024 International Conference on Frontiers of Information Technology (FIT). IEEE, 2024. https://doi.org/10.1109/fit63703.2024.10838401.

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An', Min', L. Voldaev, and R. Balkovskiy. "FOOD AND MEDICINAL PLANTS OF SPRUCE FORESTS IN THE NORTH-WEST OF RUSSIA." In FORESTRY, FOREST MANAGEMENT, STATE FOREST MANAGEMENT IN THE 21ST CENTURY: CHALLENGES AND SOLUTIONS. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2024. https://doi.org/10.58168/bugaevva2024_64-68.

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Data on the abundance of plants growing in spruce forests of high productivity are presented. The object of the study is food plants under the canopy of the kislichny spruce forest. The species composition of vegetation in the living ground cover, occurrence, value of the projective cover and reserves for each species of resource importance are determined. Accounting work was carried out along the route passages on circular accounting platforms of 10 m2 each. The route course is an accounting tape consisting of circular accounting platforms adjacent to each other. The route is laid through the
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Poryadina, S., and Sergey Matveev. "OVERGROWTH OF SCOTS PINE IN THE CRETACEOUS MOUNTAINS OF THE BELOGORYE RESERVE IN THE 21ST CENTURY: CONDITIONS AND CAUSES." In FORESTRY, FOREST MANAGEMENT, STATE FOREST MANAGEMENT IN THE 21ST CENTURY: CHALLENGES AND SOLUTIONS. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2024. https://doi.org/10.58168/bugaevva2024_126-131.

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The results of long-term studies of vegetation on the site of Cretaceous deposits of the Belogorye State Nature Reserve in the Belgorod region are presented. On the territory with Cretaceous out-crops, plants typical of chalk (calcephyls) grow. The appearance of other plants on Cretaceous soils, atypical for such conditions, indicates the processes of changing the upper soil layer and, accordingly, the ground cover. Successful natural reforestation on the slopes of the Cretaceous mountains of the Scots pine, and even the appearance in recent years of a single self-seeding of the black oak, the
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"[Front cover]." In 2016 IEEE Pulp, Paper & Forest Industries Conference (PPFIC). IEEE, 2016. http://dx.doi.org/10.1109/ppic.2016.7523456.

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Patel, Dipen, Anirudh Gupta, Aditi Pal, Hetal Parmar, and Manya Gidwani. "Forest Cover Type Prediction." In 2023 International Conference on Advanced Computing Technologies and Applications (ICACTA). IEEE, 2023. http://dx.doi.org/10.1109/icacta58201.2023.10393537.

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"Cover." In 2018 IEEE IAS Pulp, Paper and Forest Industries Conference (PPFIC). IEEE, 2018. http://dx.doi.org/10.1109/ppic.2018.8502235.

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"[Front cover]." In 2019 IEEE IAS Pulp, Paper and Forest Industries Conference (PPFIC). IEEE, 2019. http://dx.doi.org/10.1109/ppfic43189.2019.9052372.

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Reports on the topic "Forest Cover"

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Timar, Levente. Modelling private land-use decisions affecting forest cover: the effect of land tenure and environmental policy. Motu Economic and Public Policy Research, 2022. http://dx.doi.org/10.29310/wp.2022.12.

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I use geographic data and discrete choice modelling to investigate private land-use decisions in the context of prominent New Zealand land institutions and environmental policies. Land-use conversions involving gains and losses in planted forests and natural forests are modelled individually. Land under Māori freehold tenure is found to be less likely to be used for pastoral grazing and also less likely to undergo land-use conversion (both to and from a forested use). With respect to environmental policies, results suggest the incentives of the Emissions Trading Scheme did not significantly af
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Becker, Sarah, Craig Daughtry, and Andrew Russ. Robust forest cover indices for multispectral images. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42760.

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Trees occur in many land cover classes and provide significant ecosystem services. Remotely sensed multispectral images are often used to create thematic maps of land cover, but accurately identifying trees in mixed land-use scenes is challenging. We developed two forest cover indices and protocols that reliably identified trees in WorldView-2 multispectral images. The study site in Maryland included coniferous and deciduous trees associated with agricultural fields and pastures, residential and commercial buildings, roads, parking lots, wetlands, and forests. The forest cover indices exploite
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Becker, Sarah, Megan Maloney, and Andrew Griffin. A multi-biome study of tree cover detection using the Forest Cover Index. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42003.

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Tree cover maps derived from satellite and aerial imagery directly support civil and military operations. However, distinguishing tree cover from other vegetative land covers is an analytical challenge. While the commonly used Normalized Difference Vegetation Index (NDVI) can identify vegetative cover, it does not consistently distinguish between tree and low-stature vegetation. The Forest Cover Index (FCI) algorithm was developed to take the multiplicative product of the red and near infrared bands and apply a threshold to separate tree cover from non-tree cover in multispectral imagery (MSI)
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Feliciano-Cruz, Luisa, Sarah Becker, Kristofer Lasko, Craig Daughtry, and Andrew Russ. Forest Cover Index for tree cover detection using Landsat-7 multispectral imagery. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/34072.

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Ahern, F., R. J. Brown, A. C. Janetos, and E. Langham. Global Observation of Forest Cover: A CEAS Initiative. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/219324.

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Janetos, A. C., and F. Ahern. CEOS Pilot Project: Global Observation of Forest Cover. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1997. http://dx.doi.org/10.4095/219625.

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Brandeis, Thomas J., Elvia J. Meléndez-Ackerman, and Eileen H. Helmer. Forest vegetation cover assessment on Mona Island, Puerto Rico. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2012. http://dx.doi.org/10.2737/srs-gtr-165.

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Riemann Hershey, Rachel, and William A. Befort. Aerial photo guide to New England forest cover types. U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1995. http://dx.doi.org/10.2737/ne-gtr-195.

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Riemann Hershey, Rachel, and William A. Befort. Aerial photo guide to New England forest cover types. U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1995. http://dx.doi.org/10.2737/ne-gtr-195.

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Brandeis, Thomas J., Elvia J. Meléndez-Ackerman, and Eileen H. Helmer. Forest vegetation cover assessment on Mona Island, Puerto Rico. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2012. http://dx.doi.org/10.2737/srs-gtr-165.

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