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Горскоинвентаризационен анализ×Оценка на покритието на дървесната маса×
ОбластГорско стопанствоГорско стопанство
СемействоProcess / pipelineProcess / pipeline
Година на възникване19732000s
СъздателLoetsch, Zöhrer, and HallerJennings, Brown, Sheil, and colleagues
ТипStatistical sampling pipelineMeasurement and estimation pipeline
Основополагащ източникLoetsch, F., Zöhrer, F., & Haller, K. E. (1973). Forest Inventory. BLV Verlagsgesellschaft. link ↗Jennings, S. B., Brown, N. D., & Sheil, D. (2000). Assessing Forest Canopies and Understorey Illumination: Methods and Applications. Forest Ecology and Management, 129(1-3), 219–243. link ↗
Други названияForest stand sampling, Timber inventory sampling, Plot-based forest surveyCanopy closure measurement, Crown cover estimation, Overstory density assessment
Свързани44
РезюмеForest inventory sampling is a systematic approach to estimate forest characteristics such as timber volume, species composition, and biomass by surveying a representative subset of trees rather than conducting exhaustive censuses. Developed by Loetsch and colleagues in the 1970s, the method applies statistical sampling theory to forest assessment and remains the foundation for sustainable forest management and resource monitoring worldwide.Canopy cover, or canopy closure, is the proportion of ground area covered by tree crowns when viewed from above, typically expressed as a percentage. Formalized by Jennings and colleagues in pioneering work on tropical forest structure, canopy cover estimation employs multiple methods—from field-based ocular assessment to sophisticated remote sensing and terrestrial LiDAR—providing essential data on forest structure, light availability, and habitat characteristics relevant to ecology, silviculture, and climate research.
ScholarGateНабор от данни
  1. v1
  2. 4 Източници
  3. PUBLISHED
  1. v1
  2. 4 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Forest Inventory Sampling · Canopy Cover Estimation. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare