Aerial Image Texture Information in the Estimation of Northern Deciduous and Mixed Wood Forest Leaf Area Index (LAI)
✍ Scribed by Mike A. Wulder; Ellsworth F. LeDrew; Steven E. Franklin; Mike B. Lavigne
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 366 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0034-4257
No coin nor oath required. For personal study only.
✦ Synopsis
Leaf area index (LAI) currently may be derived from crease in ability to estimate hardwood forest LAI from remotely sensed imagery by approximately 20% with the remotely sensed data with limited accuracy. This reinclusion of texture. Mixed forest stands, which are specsearch addresses the need for increased accuracy in the trally diverse, had an insignificant initial r 2 of 0.01 beestimation of LAI through integration of texture to the tween LAI and NDVI, which improved to a significant relationship between LAI and vegetation indices. The in-R 2 of 0.44 with the inclusion of semivariance moment texclusion of texture, which acts as a surrogate for forest ture. ©Elsevier Science Inc., 1998 structure, to the relationship between LAI and the normalized difference vegetation index (NDVI) increased the accuracy of modeled LAI estimates. First-order, second-