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Nous fournissons des preuves et des solutions concrètes pour transformer l’utilisation des terres et la production alimentaire : conserver et restaurer les écosystèmes, répondre aux crises mondiales du climat, de la malnutrition, de la biodiversité et de la désertification. En bref, nous améliorons la vie des populations.

CIFOR–ICRAF publishes over 750 publications every year on agroforestry, forests and climate change, landscape restoration, rights, forest policy and much more – in multiple languages.

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Using satellite remote sensing for DEM extraction in complex mountainous terrain: landscape analysis of the Makalu Barun National Park of eastern Nepal

Exporter la citation

The design and management of national park s and othe r protectedarea s requires a broa d bas e of physiographic and geo-ecological informationabout th e landscape. Thi s paper evaluates th e eVectiveness of satellite remotesensing for photogrammetric stereo-mapping and digital elevation model (DE M)extraction within remote mountainous terrain. As a cas e study, a landscapeanalysis of th e Makalu Barun National Park and Conservation Area of eas tNepal(27.5°N, 87.0°E) was examined. The stud y area is a highly complex andrugged mountain landscape, with extreme topographic relie f and an elevationgradient spanning mor e tha n 8300 m. A DE M extracted fro m stere o SPOTimagery resulted in a median disagreement of 58 m whe n compared to a DE Mgenerated fro m a conventionally digitized GI S dataset of topographic contours(scale=1:250 000) . Visual comparison of th e tw o DEMs showed substantial agree-men t at th e landscape scale, whil e larger scal e comparison of 100m contoursrevealed som e localized diVerences. The SPOT extracted DE M provided equalor better basi s for orthorecti cation of satellite imagery whe n compared to th econventional DEM. Derivative landscape analysis outputs, suc h as hydrologicalmodelling, drainage networks and watershed boundaries, compared well withresults base d upo n th e conventional dataset. Intermediate ma p products usefulfor eld research and mapping included production of an orthorecti ed satellitebase-map image. Additionally, a fuse d multisensor hig h resolution image of th estud y area , combining Landsat Thematic Mapper (TM) and SPOT imagery at10 m resolution, was orthorecti ed to produce a false-colour satellite image ma phighlighting th e spectral discrimination between land cove r cl

DOI:
https://doi.org/10.1080/01431160010006449
Dimensions Nombre de citations:

    Année de publication

    2002

    Auteurs

    Zomer R A; Ustin S; Ives J

    Langue

    English

    Mots clés

    remote sensing, satellites, imagery, geographical information systems, landscape, physiographic features, highlands

    Géographique

    India

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