Utilizing Local Variance of Simulated High Spatial Resolution Imagery To Predict Spatial Pattern of Forest Stands
✍ Scribed by Nicholas Coops; Darius Culvenor
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 448 KB
- Volume
- 71
- Category
- Article
- ISSN
- 0034-4257
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✦ Synopsis
Spatial pattern, defined as the distribution of individu-dict spatial distribution based on texture variance. It was concluded that the spatial pattern of trees within a scene als in space, is an important characteristic of forest stands. It provides an insight into the allocation of above-can play a vital role in the amount and degree of variation existing within imagery. It is important to consider the im-and below-ground resources to a tree, as well as reflecting the stand history, microclimate, and competition plications of these type of relationships when developing variance-based models of forest structure. © Published between different species over time. The spatial arrangement of trees can be described as random, aggregated, or by Elsevier Science Inc., 2000 regular with a number of statistics existing that characterize the spatial pattern of a given tree population. High spatial resolution remote sensing is an obvious tool to fa-