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遥感与地理信息系统对资源利用热点地区的初步应用———以印度北部山地小流域为例 被引量:1
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作者 杨雪飞 许建初 +2 位作者 P.K.Joshi p.s.roy K.K.Das 《自然资源学报》 CSSCI CSCD 北大核心 2003年第3期368-374,共7页
资源利用与资源退化在时间及空间领域上的表现有所分异。识别出那些受人为干扰严重且易于发生资源退化的区域(资源利用的热点地区),对这些区域给予重视并采取特殊的管理机制以避免资源的进一步退化和环境的恶化,对资源的可持续利用具有... 资源利用与资源退化在时间及空间领域上的表现有所分异。识别出那些受人为干扰严重且易于发生资源退化的区域(资源利用的热点地区),对这些区域给予重视并采取特殊的管理机制以避免资源的进一步退化和环境的恶化,对资源的可持续利用具有重要的现实意义。论文以印度北部山地小流域的研究为例,根据当地实际情况,选取4个参数作为评价指标,即资源利用的重要性、资源的需求程度、资源利用的可获取性以及人类活动造成的景观生态学的干扰指数,利用遥感技术和地理信息系统对资源利用热点地区的识别进行了初步探讨。通过研究,将该流域划分为3种区域,即高度敏感区、中度敏感区和低敏感区,分别体现了不同的资源退化在空间上的分布。 展开更多
关键词 遥感与地理信息系统 资源利用 资源退化 流域划分 山地小流域 评价指标
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高能波控陆架的风暴沉积和风暴层序——以澳大利亚东南部陆架为例 被引量:2
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作者 李从先 庄武艺 p.s.roy 《海洋学报》 CAS CSCD 北大核心 1993年第2期63-72,共10页
根据浅层地震和钻孔资科,将澳大利亚东南部研究地区高能波控陆架风暴沉积分为直立风暴层、叠瓦状风暴层、无序风暴层、水平风暴层和纹层状风暴层等五类。各类风暴层及风暴层与非风暴层组合而成悬移风暴层序、悬移-推移混合风暴层序和推... 根据浅层地震和钻孔资科,将澳大利亚东南部研究地区高能波控陆架风暴沉积分为直立风暴层、叠瓦状风暴层、无序风暴层、水平风暴层和纹层状风暴层等五类。各类风暴层及风暴层与非风暴层组合而成悬移风暴层序、悬移-推移混合风暴层序和推移风暴层序三大类。中陆架风暴沉积与现今近岸和水下岸坡相似,岩性、岩相和古生物属海岸带,风暴沉积厚,底板埋深大,组成物质粗。推断中陆架风暴沉积当形成于冰后期海侵、该地带处在近岸带和水下岸坡环境时,此时海面上升速度可能减缓,或趋近于零,甚至可能有短时间的下降。 展开更多
关键词 大陆架 波控陆架 风暴沉积 海面
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Characterizing Shorea robusta communities in the part of Indian Terai landscape
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作者 V.S.Chitale M.D.Behera +2 位作者 S.Matin p.s.roy V.K.Sinha 《Journal of Forestry Research》 SCIE CAS CSCD 2014年第1期121-128,共8页
Shorea robusta Gaertn. f.(Sal)is one of the important tim-ber-yielding plants in India, which dominates the vegetation of Terai landscape of Uttar Pradesh state in India forming various communities based on its asso... Shorea robusta Gaertn. f.(Sal)is one of the important tim-ber-yielding plants in India, which dominates the vegetation of Terai landscape of Uttar Pradesh state in India forming various communities based on its associations. The present study deals with delineation, map-ping and characterization of various communities of Sal (Shorea robusta) forests in Terai landscape of Uttar Pradesh, India ranging across over 16 districts. Field survey and visual interpretation based forest vegetation type classification and mapping was carried out as part of the project entitled ‘Biodiversity characterization at landscape level using remote sensing and GIS’. Indian Remote Sensing-P6 (Resourcesat-1) Linear Imaging Self Scanner-III satellite data was used during the study. The total area covered by different Sal forests was found to be approximately 2256.77 km2. Sal communities were identified and characterized based on their spectral properties, physiognomy and phytosociological charac-teristics. Following nine Sal communities were identified, delineated and mapped with reasonable accuracyviz.,Chandar,Damar, dry plains, moist plains, western alluvium, western alluvium plains, mixed moist deciduous, mixed dry deciduous andSiwalik. It is evident from the area estimates that mixed moist deciduous Sal is the most dominant commu-nity in the region covering around (1613.90 km2), other major communi-ties were found as western alluvium plains Sal (362.44 km2), mixed dry deciduous Sal (362.44 km2) and dry plains Sal (107.71 km2). The Terai landscape of Uttar Pradesh faces tremendous anthropogenic pressure leading to deterioration of the forests. Community level information could be used monitoring the status as well as for micro level conserva-tion and planning of the Sal forests in Terai Landscape of Uttar Pradesh. 展开更多
关键词 Vegetation mapping LISS III Forest management Microlevel Conservation
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