Detecting forest degradation in Kochi, Japan: Ground-based measurements versus satellite (Terra/ASTER) remote sensing

Hydrological Processes

Volumn 24, Issue 5, 2010, Pages 588-595

  Matsushita, Bunkei ^a   Xu, Ming ^b,c   Onda, Yuichi ^a   Otsuki, Yuna ^a   Toyota, Mai ^a  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c RUTGERS UNIVERSITY   (United States)

Author keywords

ASTER thermal band; Fuel moisture content; Infiltration capacity; Unmanaged plantation; Water content based index

Indexed keywords

ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER; CONTROL EXPERIMENTS; CONTROLLED EXPERIMENT; DETECTION METHODS; ECOLOGICAL CHARACTERISTICS; ECOSYSTEM FUNCTIONS; FIELD SURVEYS; FOREST DEGRADATION; FUEL MOISTURE CONTENT; GROUND BASED; GROUND BASED MEASUREMENT; GROUND INVESTIGATION; HIGHLY-CORRELATED; IN-SITU MEASUREMENT; INFILTRATION CAPACITY; JAPANESE CYPRESS PLANTATION; LABOUR-INTENSIVE; LEAF WATER CONTENT; MOUNTAINOUS AREA; REMOTE SENSING TECHNIQUES; SOIL AND WATER; SOIL WATER CONTENT; STUDY AREAS; THERMAL BANDS; VEGETATION CANOPY; VEGETATION INDEX;

BIODIVERSITY; CONSERVATION; DEGRADATION; ECOLOGY; EXPERIMENTS; FORESTRY; FUELS; MAPPING; MOISTURE CONTROL; MOISTURE DETERMINATION; REMOTE SENSING; SEEPAGE; SOIL MECHANICS; SOIL MOISTURE; SURVEYS; UNDERWATER SOILS; VEGETATION;

WATER CONTENT;

ASTER; CONIFEROUS FOREST; DETECTION METHOD; ECOSYSTEM FUNCTION; FOREST CANOPY; GROUND-BASED MEASUREMENT; IN SITU MEASUREMENT; INFILTRATION; MAPPING METHOD; MOISTURE CONTENT; REMOTE SENSING; SATELLITE IMAGERY;

BIODIVERSITY; CONSERVATION; DEGRADATION; ECOLOGY; FORESTRY; FUELS; INFILTRATION; MAPPING; MOISTURE; MOISTURE CONTENT; MOISTURE CONTROL; PLANTATIONS; PLANTS; REMOTE SENSING; SEEPAGE;

JAPAN; KOCHI [SHIKOKU]; SHIKOKU;

CHAMAECYPARIS; CHAMAECYPARIS OBTUSA; CUPRESSUS;

EID: 77949599664     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.7553     Document Type: Article

References (18)

1. Abrams M, Hook S, Ramachandran B. 2002. ASTER Users Handbook Version 2. Jet Propulsion Laboratory: Pasadena, California. http://asterweb.jpl.nasa.gov/content/03_data/04_Documents/aster_user_guide_v2.pdf. Accessed April 23, 2008.
2. Danson F, Bowyer P. 2004. Estimating live fuel moisture content from remotely sensed reflectance. Remote Sensing of Environment 92: 309-321.
3. Forestry Agency. 2003. The Ministry of Agriculture, Forestry and Fisheries of Japan. Annual Report on Trends of Forest and Forestry, Tokyo, 230, (in Japanese).
4. 137Cs loss via soil erosion from a mountainous headwater catchment in central Japan. The Science of the Total Environment 350: 238-247.
5. Gao BC. 1996. NDWI-A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment 58: 257-266.
6. Hattori S, Abe T, Kobayashi C, Tamai K. 1992. Effect of forest floor coverage on reduction of soil erosion in hinoki plantations. Bulletin for Products Research Institute 362: 1-34 (in Japanese with English summary).
7. Jensen J. 2000. In Remote Sensing of the Environment: An Earth Resource Perspective. Prentice Hall: Upper Saddle River, New Jersey; 544.
8. Miura S, Hirai K, Yamada T. 2002. Transport rates of surface materials on steep forested slopes induced by raindrop splash erosion. Journal of Forest Research 7: 201-211.
9. Nature Conservation Bureau. 1999. In the Dataset for GIS on the Natural Environment of Japan, Version 2, CDROM. Japan Environment Agency: Tokyo.
10. Nemani R, Running S. 1997. Land cover characterization using multitemporal red, near-IR, and thermal-IR data from NOAA/AVHRR. Ecological Applications 7: 79-90.
11. Onda Y, Gomi T, Mizugaki S, Nonoda T, Sidle RC. 2010. An overview of the field and modeling studies on the effects of forest devastation on flooding and environmental issues. Hydrological Processes 24: 527-534.
12. Onda Y, Tsujimura M, Nonoda T, Takenaka C. 2005. Methods for measuring infiltration rate in forest floor in hinoki plantations. Journal of Japan Society of Hydrology and Water Resources 18: 688-694 (in Japanese with English summary).
13. Penuelas J, Filella I, Gamon J. 1995. Assessment of photosynthetic radiation use efficiency with spectral reflectance. New Phytologist 131: 291-296.
14. Penuelas J, Pinol J, Ogaya R, Filella I. 1997. Estimation of plant water concentration by the reflectance water index WI (R900/R970). International Journal of Remote Sensing 18: 2869-2875.
15. Rouse J, Haas R, Schell J, Deering D. 1974. Monitoring vegetation systems in the great plains with ERTS. Proceedings of Third Earth Resources Technology Satellite-1 Symposium, Greenbelt, NASA SP-351, 3010-3017.
16. Turner B, Moss R, Skole D. 1993. Relating land use and global landcover change: a proposal for an IGBP-HDP core project IGBP Report no. 24, HDP Report no. 5, International Geosphere-Biosphere Programme, Stockholm.
17. Xiao X, Hollinger D, Aber J, Goltz M, Davidson E, Zhang Q, Moore B III. 2004. Satellite-based modeling of gross primary production in an evergreen needleleaf forest. Remote Sensing of Environment 89: 519-534.
18. Yukawa N, Onda Y. 1995. The influence of understories on the infiltration capacities of Chamaecyparis obtusa plantation (1) Experimental results using a mist type rainfall simulator. Journal of Japan Forest Society 77: 224-231 (in Japanese with English summary).