Remote sensing monitoring the health of artificial Robinia Pseudoacacia Forest

Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University

Volumn 35, Issue 7, 2010, Pages 863-867

  Yao, Ling ^a   Liu, Gaohuan ^b   Liu, Qingsheng ^b   Fei, Lifan ^a  

^a WUHAN UNIVERSITY   (China)

^b INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

Author keywords

NDWI; Remote sensing; Robinia health; Spatial analysis

Indexed keywords

CLASSIFICATION TECHNIQUE; CROWN CONDITIONS; ENVIRONMENT FACTORS; FIELD DATA; LANDSAT TM IMAGES; NDWI; NORMALIZED DIFFERENCE WATER INDEX; REMOTE SENSING MONITORING; ROBINIA HEALTH; ROBINIA PSEUDO-ACACIA; SOIL SALINITY; SPATIAL ANALYSIS; STUDY AREAS; SUPERVISED CLASSIFICATION; VEGETATION INDEX; YELLOW RIVER DELTA;

CLUSTER ANALYSIS; GROUNDWATER; GROUNDWATER RESOURCES; IMAGE PROCESSING; REMOTE SENSING; VEGETATION;

HEALTH;

ACCURACY ASSESSMENT; CLUSTER ANALYSIS; DECIDUOUS TREE; HEALTH MONITORING; IMAGE CLASSIFICATION; LANDSAT THEMATIC MAPPER; NDVI; REMOTE SENSING; SALINITY; SPATIAL ANALYSIS; WATER DEPTH;

CHINA; SHANDONG; YELLOW RIVER DELTA;

ROBINIA; ROBINIA PSEUDOACACIA;

EID: 77956865838     PISSN: 16718860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Changes of Robinia Pseudoacacia Planted Forest in the Yiqianer Nature Reserve Following the Super Storm Surge of Sept. 1992[C]. The 3rd International Yellow River Forum on Sustainable Water Resources Management and Delta Ecosystem Maintenance, Dongying, 2007.
2. Coops N C, Stone C, Culvenor D S, et al. Assessment of Crown Condition in Eucalypt Vegetation by Remotely Sensed Optical Indices[J]. Journal of Environment Quality, 2004, 33: 956-964.
3. Coppin P R. The Potential Contribution of Pxel-based Canopy Change Information to Stand-based forest Management in the Northern U.S.[J]. Journal of Environment Management, 1995, 44: 69-82.
4. Wang Cuizhen. Using Landsat Images to Detect Oak Decline in the Mark Twain National Forest, Ozark Highlands[J]. Forest Ecology and Management, 2007, 240(1-3): 70-78.
5. Arsenault E J. Characterizing Aspen Dieback Severity Using MultiDate Landsat Data in Western Canadian Forest[C]. Eleventh Forest Service Remote Sensing Applications Conference, 2006.
6. Bonneau L R. Using Satellite Images to Classify and Analyze the Health of Hemlock Forests Infested by the Hemlock Woolly Adelgid[J]. Biological Invasions, 1999, 1(2): 255-267.
7. 2003, 27(6): 851-858.
8. Stolte K. Forest Health Indicators[R]. USDA Forest Service, USDA, USA, 2002.
9. 2007.
10. Schomaker M E. Crown-Condition Classification: a Guide to Data Collection and Analysis[R]. USDA Forest Service, Southern Research Station, USA, 2007.
11. Huete A R. A Soil-adjusted Vegetation Index (SAVI)[J]. Remote Sensing of Environment, 1988, 25(3): 295-309.
12. 2009, 34(2): 210-213.
13. 2007, 32(6): 498-501.