Relevant bibliographies by topics / Vegetation monitoring

Contents

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

Academic literature on the topic 'Vegetation monitoring'

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

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Journal articles on the topic "Vegetation monitoring"

1

Khan, Asim, Warda Asim, Anwaar Ulhaq, and Randall W. Robinson. "A deep semantic vegetation health monitoring platform for citizen science imaging data." PLOS ONE 17, no. 7 (2022): e0270625. http://dx.doi.org/10.1371/journal.pone.0270625.

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Automated monitoring of vegetation health in a landscape is often attributed to calculating values of various vegetation indexes over a period of time. However, such approaches suffer from an inaccurate estimation of vegetational change due to the over-reliance of index values on vegetation’s colour attributes and the availability of multi-spectral bands. One common observation is the sensitivity of colour attributes to seasonal variations and imaging devices, thus leading to false and inaccurate change detection and monitoring. In addition, these are very strong assumptions in a citizen scien
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Maxwald, Melanie, Markus Immitzer, Hans Peter Rauch, and Federico Preti. "Analyzing Fire Severity and Post-Fire Vegetation Recovery in the Temperate Andes Using Earth Observation Data." Fire 5, no. 6 (2022): 211. http://dx.doi.org/10.3390/fire5060211.

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In wildfire areas, earth observation data is used for the development of fire-severity maps or vegetation recovery to select post-fire measures for erosion control and revegetation. Appropriate vegetation indices for post-fire monitoring vary with vegetation type and climate zone. This study aimed to select the best vegetation indices for post-fire vegetation monitoring using remote sensing and classification methods for the temperate zone in southern Ecuador, as well as to analyze the vegetation’s development in different fire severity classes after a wildfire in September 2019. Random forest
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H. Shahad, Shaimаа, and Mutаsim I. Malik. "Monitoring Vegetation Area in Wasit/ Iraq using Normalized Difference Vegetation Index (NDVI)." IAR Journal of Engineering and Technology 6, no. 1 (2025): 1–4. https://doi.org/10.47310/iarjet.2025.v06i01.006.

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In the current work, the Landsat data were applied to monitor vegetation in the governorate of Wasit in Iraq country as the region of interest during the period between 2012 and 2024. NDVI was calculated and analyzed by using Landsat Satellite Image in GIS environment which was used to get binary images through analysis. Vegetation changes in this area were estimated and explored with the help of the Normalized Difference Vegetation Index (NDVI) as a vegetation index. The findings display minor increment in the vegetation rates. The binary image extraction method was applied to estimate the ar
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Økland, T. "Vegetational and ecological monitoring of boreal forests in Norway. I. Rausjømarka in Akershus county, SE Norway." Sommerfeltia 10, no. 1 (1990): 1–56. http://dx.doi.org/10.2478/som-1990-0001.

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Abstract Vegetational and ecological monitoring of boreal forests in Norway was initiated in 1988, as a part of the programme “Countrywide monitoring of forest health” at Norwegian Institute of Land Invetory (NIJOS). Ten reference areas for monitoring will be established and analysed within five years; two new areas each year. Each of the monitoring areas is planned to be reanalysed every fifth year. In each monitoring area 10 macro sample plots, 50 m2 each, are selected. Within each macro sample plot 5 meso sample plots, 1 m2 each, are randomly placed and the vegetation is analysed by using f
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HONDA, Yoshiaki, Shunji MURAI, and Kikuuo KATOOU. "Global Monitoring of Vegetation." Journal of the Japan society of photogrammetry and remote sensing 31, no. 1 (1992): 4–14. http://dx.doi.org/10.4287/jsprs.31.4.

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Pádua, Luís, Pedro Marques, Jonáš Hruška, et al. "Multi-Temporal Vineyard Monitoring through UAV-Based RGB Imagery." Remote Sensing 10, no. 12 (2018): 1907. http://dx.doi.org/10.3390/rs10121907.

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This study aimed to characterize vineyard vegetation thorough multi-temporal monitoring using a commercial low-cost rotary-wing unmanned aerial vehicle (UAV) equipped with a consumer-grade red/green/blue (RGB) sensor. Ground-truth data and UAV-based imagery were acquired on nine distinct dates, covering the most significant vegetative growing cycle until harvesting season, over two selected vineyard plots. The acquired UAV-based imagery underwent photogrammetric processing resulting, per flight, in an orthophoto mosaic, used for vegetation estimation. Digital elevation models were used to comp
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Halip, Rowena Mat, Nik Norasma Che’Ya, Rhushalshafira Rosle, Mohd Razi Ismail, Zulkarami Berahim, and Mohamad Husni Omar. "Enhancing Rice Crop Monitoring Through UAV Imagery And GIS Analysis." IOP Conference Series: Earth and Environmental Science 1412, no. 1 (2024): 012014. https://doi.org/10.1088/1755-1315/1412/1/012014.

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Abstract Unmanned aerial vehicles (UAVs) are becoming increasingly important in many industries, and agriculture is no exception. This study aimed to monitor rice fields by using UAV-based imagery to map rice fields thoroughly and using on-the-ground Soil Plant Analysis Development (SPAD) data to evaluate crop health. A series of UAV-captured photos were analyzed as part of the inquiry, and the results included the creation of reclassification maps and Normalized Difference Vegetation Index (NDVI), which were reinforced by GIS analysis. The results show that during the 11-day post-sowing phase
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Dhakal, Rabin, Abhishek Ghimire, Sanjay Nepal, and Kapalik Khanal. "PocketQube development for earth exploration and vegetation monitoring." Journal of Innovations in Engineering Education 5, no. 1 (2022): 77–83. http://dx.doi.org/10.3126/jiee.v5i1.43925.

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A PocketQube is being popular these days due to the enhancement in technologies for space research and earth observation. It is extremely vital to analyze the condition of vegetation on the earth surface because deforestation, forest fire and smuggling of precious plants have been increasing dramatically. The camera module in the payload captures the image from the space which helps in analyzing the vegetative condition of the forest on the earth’s surface. The provided image data is huge in order to maintain the quality of the images it captures. Hence, the received image data is further divi
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Shukla, Sonali. "Vegetation Monitoring System-A Review." International Journal for Research in Applied Science and Engineering Technology 6, no. 2 (2018): 258–63. http://dx.doi.org/10.22214/ijraset.2018.2040.

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Mohler, Robert R. J., Gordon L. Wells, Cecil R. Hallurn, and Michael H. Trenchard. "Monitoring vegetation of drought environments." BioScience 36, no. 7 (1986): 478–83. http://dx.doi.org/10.2307/1310346.

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Dissertations / Theses on the topic "Vegetation monitoring"

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Roderick, Michael L. "Satellite derived vegetation indices for monitoring seasonal vegetation conditions in Western Australia." Thesis, Curtin University, 1994. http://hdl.handle.net/20.500.11937/518.

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The monitoring of continental and global scale net primary production remains a major focus of satellite-based remote sensing. Potential benefits which follow are diverse and include contributions to, and improved scientific understanding of, ecological systems, rangeland management, famine warning, agricultural commodity trading, and the study of global climate change.A NOAA-AVHRR data set containing monthly observations of green vegetation cover over a ten year period was acquired and analysed, to extract information on seasonal conditions. The data were supplied as a vegetation index, commo
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Roderick, Michael L. "Satellite derived vegetation indices for monitoring seasonal vegetation conditions in Western Australia." Curtin University of Technology, School of Surveying and Land Information, 1994. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=14815.

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The monitoring of continental and global scale net primary production remains a major focus of satellite-based remote sensing. Potential benefits which follow are diverse and include contributions to, and improved scientific understanding of, ecological systems, rangeland management, famine warning, agricultural commodity trading, and the study of global climate change.A NOAA-AVHRR data set containing monthly observations of green vegetation cover over a ten year period was acquired and analysed, to extract information on seasonal conditions. The data were supplied as a vegetation index, commo
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JULITTA, TOMMASO. "Optical proximal sensing for vegetation monitoring." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/70505.

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Monitoring vegetation dynamics represents a fundamental practice to evaluate the response of the vegetation to environmental changes. Optical proximal sensed data allow the monitoring of the temporal and spatial variability of vegetation properties under natural conditions. Vegetation optical properties can be used to indirectly derive information about the phenological and/or physiological status of the plants. Optical sensors commonly used in the field can be divided into broadband sensors (usually multispectral, e.g. RGB cameras) and narrowband sensors (both multispectral and hyperspectral
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Messeh, Maged Farouk Zaky Abdel. "Global vegetation monitoring using ERS-1 scatterometer data." Thesis, University of Sheffield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298978.

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Despain, Del W., Phil R. Ogden, George B. Ruyle, and E. Lamar Smith. "Some Methods For Monitoring Rangelands and Other Natural Area Vegetation." College of Agriculture, University of Arizona (Tucson, AZ), 1997. http://hdl.handle.net/10150/304566.

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Despain, Del W., Phil R. Ogden, George B. Ruyle, and E. Lamar Smith. "Some Methods for Monitoring Rangelands and Other Natural Area Vegetation." College of Agriculture, University of Arizona (Tucson, AZ), 1995. http://hdl.handle.net/10150/311743.

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Scherrer, Pascal, and n/a. "Monitoring Vegetation Change in the Kosciuszko Alpine Zone, Australia." Griffith University. Australian School of Environmental Studies, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040715.125310.

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This thesis examined vegetation change over the last 43 years in Australia's largest contiguous alpine area, the Kosciuszko alpine zone in south-eastern Australia. Using historical and current data about the state of the most common vegetation community, tall alpine herbfield, this thesis addressed the questions: (1) what were the patterns of change at the species/genera and life form levels during this time period; (2) what were the patterns of recovery, if recovery occurred, from anthropogenic disturbances such as livestock grazing or trampling by tourists; (3) what impacts did natural distu
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Scherrer, Pascal. "Monitoring Vegetation Change in the Kosciuszko Alpine Zone, Australia." Thesis, Griffith University, 2004. http://hdl.handle.net/10072/366283.

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This thesis examined vegetation change over the last 43 years in Australia's largest contiguous alpine area, the Kosciuszko alpine zone in south-eastern Australia. Using historical and current data about the state of the most common vegetation community, tall alpine herbfield, this thesis addressed the questions: (1) what were the patterns of change at the species/genera and life form levels during this time period; (2) what were the patterns of recovery, if recovery occurred, from anthropogenic disturbances such as livestock grazing or trampling by tourists; (3) what impacts did natural distu
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Tadkaew, Nichanan. "Monitoring of seagrasses in Lake Illawarra, NSW." Access electronically, 2007. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20070821.142240/index.html.

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R, A. Majdaldin, B. A. Osunmadewa, E. Csaplovics, and D. Aralova. "Remote sensing-based vegetation indices for monitoring vegetation change in the semi-arid region of Sudan." SPIE, 2016. https://tud.qucosa.de/id/qucosa%3A35109.

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Land degradation, a phenomenon referring to (drought) in arid, semi-arid and dry sub-humid regions as a result of climatic variations and anthropogenic activities most especially in the semi-arid lands of Sudan, where vast majority of the rural population depend solely on agriculture and pasture for their daily livelihood, the ecological pattern had been greatly influenced thereby leading to loss of vegetation cover coupled with climatic variability and replacement of the natural tree composition with invasive mesquite species. The principal aim of this study is to quantitatively examine the v
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Books on the topic "Vegetation monitoring"

1

Bob, Harrington. Vegetation monitoring manual. Montana Fish, Wildlife and Parks, 2005.

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W, Owens Thomas, and Environmental Management Technical Center (U.S.), eds. Long Term Resource Monitoring Program procedures: Vegetation monitoring. National Biological Survey, Environmental Management Technical Center (575 Lester Ave., Onalaska 54650), 1995.

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Elzinga, Caryl L. Vegetation monitoring: An annotated bibliography. U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1997.

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James, Clawson W., University of California (System). Division of Agriculture and Natural Resources., and University of California (System). Cooperative Extension., eds. Monitoring California's annual rangeland vegetation. Cooperative Extension University of California, 1990.

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Elizabeth, Feldmeyer-Christe, ed. Modern approaches in vegetation monitoring. Akadémiai Kiadó, 2004.

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Joint Nature Conservation Committee (Great Britain), ed. National vegetation classification: Users' handbook. Joint Nature Conservation Committee, 2006.

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McNicoll, Molly. Restoration of sand prairie in Illinois: Seed banks and existing vegetation June 2005-2006 final report. Illinois Natural History Survey, 2007.

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Nechaeva, Nina Trofimovna. Monitoring prirodnoĭ i uluchshennoĭ rastitelʹnosti T͡S︡entralʹnykh Karakumov. Ylym, 1991.

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A, Bartlette Roberta, and Intermountain Research Station (Ogden, Utah), eds. Monitoring vegetation greenness with satellite data. U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1993.

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Burgan, Robert E. Monitoring vegetation greenness with satellite data. U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1993.

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Book chapters on the topic "Vegetation monitoring"

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Goldsmith, Barrie. "Vegetation monitoring." In Monitoring for Conservation and Ecology. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3086-8_5.

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Neshataeva, V. Yu. "Vegetation Cover Monitoring." In Social and Environmental Impacts in the North: Methods in Evaluation of Socio-Economic and Environmental Consequences of Mining and Energy Production in the Arctic and Sub-Arctic. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-1054-2_18.

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Zonneveld, I. S. "Monitoring Vegetation and Surveying Dynamics." In Vegetation mapping. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3083-4_29.

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Mayer, R. "Filtering of Air-Borne Contaminants by Vegetation Canopies." In Soil Monitoring. Birkhäuser Basel, 1993. http://dx.doi.org/10.1007/978-3-0348-7542-4_9.

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Bedair, Heba, Asmaa M. El-Makawy, Haidy Nasser, and Marwa Waseem A. Halmy. "Application of Remote Sensing for Monitoring Aquatic Vegetation." In Aquatic Ecosystems Monitoring. CRC Press, 2024. http://dx.doi.org/10.1201/9781003354000-13.

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Defila, Claudio. "Do Phytophenological Series Contribute to Vegetation Monitoring?" In Tasks for vegetation science. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9686-2_6.

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Rock, B. N., D. L. Skole, and B. J. Choudhury. "Monitoring Vegetation Change Using Satellite Data." In Vegetation Dynamics & Global Change. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2816-6_8.

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Grabherr, Georg, Michael Gottfried, and Harald Pauli. "Long-Term Monitoring of Mountain Peaks in The Alps." In Tasks for vegetation science. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9686-2_10.

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Burga, Conradin A., and Roger Perret. "Monitoring of Eastern and Southern Swiss Alpine Timberline Ecotones." In Tasks for vegetation science. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9686-2_11.

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Wildi, Otto. "Statistical Design and Analysis in Long-Term Vegetation Monitoring." In Tasks for vegetation science. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9686-2_2.

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Conference papers on the topic "Vegetation monitoring"

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Sathyanarayana, Natya, and Ashutosh Anand. "Monitoring and Mapping Vegetation Dynamics Using Sentinel-2 Imagery." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10984662.

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Yang, Zhengwei, Liping Di, Genong Yu, and Zeqiang Chen. "Vegetation condition indices for crop vegetation condition monitoring." In IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6049984.

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Tao, Jing, Jiancheng Shi, Tom Jackson, Rajat Bindlish, Jinyang Du, and Lixin Zhang. "Monitoring Vegetation Water Content Using Microwave Vegetation Indices." In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4778827.

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González-Dugo, M. P. "Spectral Vegetation Indices For Estimating Cotton And Sugarbeet Evapotranspiration." In EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349335.

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Gutman, G. "Monitoring global vegetation using AVHRR." In IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174). IEEE, 1998. http://dx.doi.org/10.1109/igarss.1998.702261.

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Bassani, C. "A Method For Retrieving Water Vapor Columnar Content And Aerosol Optical Thickness." In EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349353.

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Trezza, R. "Estimation Of Evapotranspiration From Satellite-Based Surface Energy Balance Models For Water Management In The Rio Guarico Irrigation System, Venezuela." In EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349340.

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Norman, J. M. "Are Single-Source, Remote-Sensing Surface-Flux Models Too Simple?" In EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349341.

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Colin, J. "A Multi-Scales Surface Energy Balance System For Operational Actual Surface Evapotranspiration Monitoring." In EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349342.

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Consoli, S. "Estimating Evapotranspiration Of Orange Orchards Using Surface Renewal And Remote Sensing Techniques." In EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349343.

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Reports on the topic "Vegetation monitoring"

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Burgan, Robert E., and Roberta A. Hartford. Monitoring vegetation greenness with satellite data. U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1993. http://dx.doi.org/10.2737/int-gtr-297.

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Mancuso, Michael, and Robert Moseley. Vegetation Description, Rare Plant Inventory, and Vegetation Monitoring for Craig Mountain, Idaho. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/226017.

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Winward, Alma H. Monitoring the vegetation resources in riparian areas. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2000. http://dx.doi.org/10.2737/rmrs-gtr-47.

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Herman, Brook. Draft standard monitoring protocols for herbaceous vegetation. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/33123.

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Herman, Brook. Evaluation of methods for monitoring herbaceous vegetation. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45100.

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This special report seeks to advance the field of ecological restoration by reviewing selected reports on the processes, procedures, and protocols associated with monitoring of ecological restoration projects. Specifically, this report identifies selected published herbaceous vegetation monitoring protocols at the national, regional, and local levels and then evaluates the recommended sampling design and methods from these identified protocols. Finally, the report analyzes the sampling designs and methods in the context of monitoring restored herbaceous vegetation at US Army Corps of Engineers
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Max, Timothy A., Hans T. Schreuder, John W. Hazard, Daniel D. Oswald, John Teply, and Jim Alegria. The Pacific Northwest region vegetation and monitoring system. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1996. http://dx.doi.org/10.2737/pnw-rp-493.

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Sanders, Suzanne, Jessica Kirschbaum, Suzanne Sanders, and Jessica Kirschbaum. Forest vegetation monitoring protocol (version 2.1): Great Lakes Inventory and Monitoring Network. National Park Service, 2024. http://dx.doi.org/10.36967/2305281.

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Forest vegetation provides an integrated measure of terrestrial ecosystem health by expressing information about the collective suite of drivers and stressors which act upon it. These include climate, disturbance, browse, and invasive species. We developed a comprehensive forest monitoring protocol to detect change in the nine Great Lakes Network parks. Monitoring is conducted on a nine-year rotation, with each of the parks sampled over the course of one summer, once every nine years. Site locations were selected to ensure that they are random, but also spatially balanced throughout the parks.
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Smith, Sean, Lauren Youngblood, Micah Wright, and Phillip van Mantgem. Vegetation community monitoring: Forest structure in Klamath Network parks. National Park Service, 2025. https://doi.org/10.36967/2311589.

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The Klamath Network, comprising six national park units in northern California and southern Oregon, initiated a vegetation monitoring protocol in 2011 to discern ecologically significant vegetation trends in these parks. The premise of the protocol is that multivariate analyses of species composition data is the most robust means for early detection of vegetation change over time. Here, we present these community metrics based on our sampling efforts from 2011 to 2019. Observations from the first sampling event (2011–2013) were used to establish baseline conditions for the vegetation communiti
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Anderson, Sarah M., Emily R. Russ, and Lynde L. Dodd. Submerged Aquatic Vegetation Monitoring for Process-Based Model Development. U.S. Army Engineer Research and Development Center, 2025. https://doi.org/10.21079/11681/49826.

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Submerged aquatic vegetation (SAV) habitat conservation and restoration are necessary actions to counteract the loss of these critical habitats and their associated ecosystem services, such as habitat provisioning and water quality improvements. Process-based numerical models are essential for planning effective and enduring SAV management strategies but require robust datasets to realistically represent processes at high spatial and temporal resolutions. This technical note (TN), developed by the US Army Engineer Research and Development Center–Environmental Laboratory (ERDC-EL), describes an
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Jackson, Samuel, Christina Saltus, Molly Reif, and Glenn Suir. During Nearshore Event Vegetation Gradation (DUNEVEG) : geospatial tools for automating remote vegetation extraction. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47649.

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Monitoring and modeling of coastal vegetation and ecosystems are major challenges, especially when considering environmental response to hazards, disturbances, and management activities. Remote sensing applications can provide alternatives and complementary approaches to the often costly and laborious field-based collection methods traditionally used for coastal ecosystem monitoring. New and improved sensors and data analysis techniques have become available, making remote sensing applications attractive for evaluation and potential use in monitoring coastal vegetation properties and ecosystem
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