Research and Discussion |
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MODELING DEFOLIATION CONDITIONS IN MODERATE CANOPY DENSITY AND CLOSED CONIFEROUS FOREST USING LANDSAT TM DATA |
Wu Honggan1, Cui Hengjian2, Qiao Yanyou1, Huang Jianwen1, Chen Linhong3 |
1. The Research institute of Forest Resource Information Techniques, CAF Beijing 100091;
2. Department of Mathematics, Beijing Normal University, Beijing 100875;
3. Forest Protection Station of jiangshan City, Zhejiang Province 324100 |
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Abstract It is an important subject to monitor and assess forest resource quality.This not only relates to forest industry, but also affects regional environment and continuable development.This paper quantatively probes into the feasibility of mapping and assessing forest defoliation by remote sensing data, and indicates there is some correlative relation between the TM5/TM4 ratio and needle loss percentage. The nonlinear relation between the defoliation and TM5/TM4 ratio is established by using nonparametric smoothing weight method and it is compared with linear relation. Powerful numericai results are provided to search for the best remote sensing parameter discriminating needle loss percentage. It is concluded that Logist curve is suitable for describing forest strecture change caused by defoliation.
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Keywords
Orchard
Texture
DEM
Sub-region and hierarchical
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Issue Date: 02 August 2011
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[1] 武红敢等.利用航天遥感资料监测森林失叶量的可行性研究.林业科技通讯.1994,(7):25
[2] 郭德方主编.图像处理与模式识别.北京:电子工业出版社,1987
[3] Vogelmann J E,Rock B N et al. Use of Thematic Mappet Data for the Detection of Forest Damage Caused by the Peat Thrips. REMOTE SENSING QF ENVIRCNMENT,1989, 30: 217-225.
[4] Rock B N,VoqeLnann J E et al.Remote Detection of Forest Damage.BIOSCIENCF, 1986, 36(7):439-445.
[5] Vogelmann J E, Rock B N.Assessing forest decline in coniferous of Vermont using ZS-001 Thema-tic Mapper Simulator data.INTEENATIONAL JOURNAL OF REMOTE SENSING, 1986,7(10):1303-1321
[6] Vogelmann J E. Comparison between two vegetation indices for measuring different types of forest damage in the northeastern United States.INTERNATIONAL JOURNAI OF REMOTE SENSING,1990, 11(12): 2281-2297.
[7] Vogelmann J E, Rock B N. Aesessing, forest darnagc in hirh-elevation coniferous forests in Vermopt and New Hampsphire using Thematic Mapper data. REMOTE SENSING OF ENVIRONMENT, 1988,24: 227-246.
[8] Donald G, Yuan Xiaoping et al. Analysis of High Resolution Multispectral MEIS Imagery for Spruce Budworm Damfage Assessment on a Single Tree Basis.REMOTE SENSING OF ENVIRONMENT,1992,40: 125-136.
[9] Brockhaus J A, Khorram S ct al. A comparison of Landsat TM and SPOT HRV data for use in the devclopment of forest defoliation modes.INTERNATIONAI.JOURNAL OF REMOTE SENSING, 1992,13(6):3235-3240.
[10] Ekstrand S P.Detection of Moderate Damage on Norway Sptuce Using Landsat TM and Digital Stand Date.IEEE TRANSACTION ON GEOSCIENCE AND REMOTE SENSING, 1990,28(4): 685-692.
[11] Joria P E, Ahearn S C et al.A Comparison of the SPOT and Landsat Thematic Mapper Satellire Systems for Detecting Gypsy Moth Defoliation in Michigan. PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING, 1991,57(12), 1605-1612.
[12] Gills M D, Pick R D and Leckie D G.Satellie imagery asssists in the assessment of hail damage for salvage harvest. THE FORESTRY CHRONICLE, 1990,(10):463-468.
[13] Menaitn H, Protz H. Mapping corn residue cover on agricultural fields in Oxford county, Ontario,using Thematic Mapper. CANADIAN JOURNAL OF REMOTE SENSING, 1993,19(2):152-159.
[14] Nakane K, Kimura Y. Assessment of pine forest damage by blight based on Landsat TM data and correlation with environmental factors. ECOLOGICAL RESEACH, 1992,(7): 9-18.
[15] 武红敢等.利用陆地卫星TM数据评估森林病虫害.遥感技术与应用,1994, 9( 4):
[16] 朗奎建等.IBMPC系列程序集.北京:中国林业出版社,1989.
[17] Prakasa H I. S. Nonparymetric Functional Estimation. Academic Press Inc. 1993.
[18] Devroy L. Nonparametric Density Estimation. The LI View, ]ohn wiley sons, 1985.
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