Development and application of settlement Index of Forest pests and Diseases for Large Areas through Using modis-ndvi Data

fuyang Sun fuyang Sun

doi:10.18282/rs.v6i1.291

fuyang Sun fuyang Sun

Ariticle ID: 291

153 Views, 6 PDF Downloads

DOI: https://doi.org/10.18282/rs.v6i1.291

Keywords: MODIS - NDVI, Forest pests and diseases, settlement index

Abstract

settlement to forest pests and diseases to Large areas is one of Most pressing challenges For the
" Development of Forest insurance. This Study , taking , forestareas of of East Inner Mongolia, developed A
settlement index to forest pests and diseases at the County scale to Large areas, based on MODIS - NDVI
Data , Field surveydata , Successfully applied It to East Inner Mongolia to The year of 2016. The results Show
[] This Proposed settlement Index has the Advantage in being simple in Calculation, wide coverage and ? - space
continuity, Could monitor The serious Damage , even , moderate Damage for Conifer For
est effectively. therefore , The settlement Index of Forest pests and diseases could provide Reference and support
for forest Insurance .

References

Song Yu double , Su Hongjun , Yu Haiying , , and so on . 2006 -2010 year China's forestry pest disaster loss

assessment J. China Forest Pest , at(6) : 1-4. 2. multicast , Autumn , Zhao Rong , , and so on . Research on the design innovation of policy forest insurance

system J]. Forestry Economy ,2016 (2): 27-32. 3. Nelson R F. Detecting forest canopy change due to insect activity using Landsat MSS

J /b11>. pe& RS, 1983, $ : 1303-1314. 4. Mukai Y, Sugimura T, Watanabe H, et al extraction of areas infested by pine bark beetle G Landsat MSS data J]. PE

&rs,1987,54 : 77-81. 5. radeloff V C, Mladenoff D J, Boyce M. Detecting jack Pine Bud-worm using SPECT RAL mixture

analysis:separating effects from determinants[J]. Remote Sensing of Environment, 1999, (2) : 156-169.

Remote Sensing | 5

Wu Hong *, Choyanyu, Chen Honglin. . Dynamic change of coniferous volume of Pinus massoniana forest in

mountainous region of Zhejiang province and its remote sensing monitoring implanted . Journal of Natural

Resources , 1998,13 (4): 359-363. 7. Fraser R H, Abuelgasim A, Latifovic R. A method for detecting large-scale forest cover change using coarse spatial

resolution imagery J. Remote Sensing of environment,2005,95 (4): 414-427. 8. Liu zhiming, Yanming, Mr. Zhang, etc. . monitoring large-scale forest pests by meteorological

satellites research J. Journal of Natural Disasters , 2002,11 (3) : 109-114. 9. Jepsen J U. Hagen S B, H "Gda K A, et al monitoring spatio-temporal dynamics ID moth outbreaks in birch forest

using MODIS-NDVI data J]. Remote Sensing of Environment, 2009, 113 (9) : 1939-1947. 10. Spruce J P, Sader S, Ryan R E, et al assessment of MODISNDVI time series data products for D Etecting forest

defoliation by Gypsy Moth J]. Remote Sensing of Environment, 2: 427-437. 11. Chesheng . The occurrence of forest diseases and pests in Inner Mongolia , hazards and

Countermeasures J ]. Inner Mongolia Ancient forestry ,(1) : 26-27. 12. Zhang L, Li X, Yuan Q, et al object-based approach to national Land Cove R mapping using HJ satellite imagery

[J. Journal of Applied Remote Sensing, 2014, 8 (2)!464-471.[A] ly/t 1681-2006, Forest pest occurrence and

disaster criteria [S].