An approach for detecting five typical vegetation types on the Chinese Loess Plateau using Landsat TM data

Environmental Monitoring and Assessment

Volumn 187, Issue 9, 2015, Pages

  Wang, Zhi Jie ^a,c   Jiao, Ju Ying ^b,c   Lei, Bo ^c   Su, Yuan ^b  

^a GUIZHOU UNIVERSITY   (China)

^b NORTHWEST A F UNIVERSITY   (China)

^c INSTITUTE OF SOIL AND WATER CONSERVATION   (China)

Author keywords

Remote sensing; Spectral bands; Vegetation index; Vegetation type index; Yanhe watershed

Indexed keywords

LANDFORMS; REMOTE SENSING; SEDIMENTS; WATERSHEDS;

CHINESE LOESS PLATEAU; RADIANCE REFLECTANCE; ROBINIA PSEUDO-ACACIA; SPECTRAL BAND; VEGETATION INDEX; VEGETATION RESTORATION; VEGETATION TYPE; YANHE WATERSHEDS;

VEGETATION;

ACCURACY ASSESSMENT; LANDSAT THEMATIC MAPPER; POPULATION DISTRIBUTION; REMOTE SENSING; SPECIES DIVERSITY; SPECTRAL ANALYSIS; TAXONOMY; VEGETATION INDEX; VEGETATION TYPE; WATERSHED;

ACCURACY; ANALYTIC METHOD; ARTEMISIA GMELINII; ARTICLE; BOTHRIOCHLOA ISCHAEMUM; CHINA; ECOSYSTEM RESTORATION; ENVIRONMENTAL MONITORING; GEOGRAPHIC DISTRIBUTION; HIPPOPHAE RHAMNOIDES; IMAGE PROCESSING; NONHUMAN; PLANT; QUERCUS LIAOTUNGENSIS; REMOTE SENSING; ROBINIA PSEUDOACACIA; SPECIES DISTRIBUTION; SPECIES DIVERSITY; SPECTROSCOPY; VEGETATION; VEGETATION TYPE INDEX; WATERSHED; ANGIOSPERM; ECOSYSTEM; SATELLITE IMAGERY;

CHINA; LOESS PLATEAU; SHAANXI; YANHE BASIN;

ARTEMISIA GMELINII; BOTHRIOCHLOA ISCHAEMUM; HIPPOPHAE RHAMNOIDES; QUERCUS WUTAISHANICA; ROBINIA PSEUDOACACIA;

ANGIOSPERMS; CHINA; ECOSYSTEM; SATELLITE IMAGERY;

EID: 84939479747     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-015-4799-5     Document Type: Article

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