Evaluation of ERTS-1 Data for Forest and Rangeland Surveys
Evaluation of ERTS-1 Data for Forest and Rangeland Surveys

Author: Robert Chester Heller

Publisher:

Published: 1975

Total Pages: 80

ISBN-13:

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Tests used data gathered by the first Earth Resources Technology Satellite. Results on sites in Georgia, Colorado, and South Dakota indicated that ERTS enlargements, preferably color, would be useful to forest managers of large ownerships for broad area planning. Forest land was distinguished from nonforest land with 90 to 95 percent accuracy, in both photointerpretation and computer-assisted analysis. Further breakdowns of cover types could not be made with acceptable accuracy by either method. Forest disturbances from natural causes or human activity could be detected with 90 percent accuracy when ERTS imagery was compared with 6-year-old aerial photos. Stress from mountain pine beetle could not be detected; ERTS wavebands are too broad to identify dying foliage.

Skylab EREP Investigations Summary
Skylab EREP Investigations Summary

Author: Lyndon B. Johnson Space Center

Publisher:

Published: 1978

Total Pages: 396

ISBN-13:

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The problems in the areas of agriculture, range and forestry; land use and cartography; geology and hydrology; oceans atmosphere, and data analysis techniques were investigated and summarized using Earth Resources Experiment Package (EREP) data.

Spatial Modeling in Forest Resources Management
Spatial Modeling in Forest Resources Management

Author: Pravat Kumar Shit

Publisher: Springer Nature

Published: 2020-10-08

Total Pages: 675

ISBN-13: 3030565424

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This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources. Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner. By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.