中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > Composition, structure and diversity characterization of dry tropical forest of Chhattisgarh using satellite data 林业研究(英文版) 2014,25 (4)
Position: Home > Articles > Composition, structure and diversity characterization of dry tropical forest of Chhattisgarh using satellite data Journal of Forestry Research 2014,25 (4)

Composition, structure and diversity characterization of dry tropical forest of Chhattisgarh using satellite data

作  者：
Tarun Kumar Thakur;S. L. Swamy;Ajit Singh Nai
单  位：
Department of Forestry, Indira Gandhi Agricultural University (IGAU), Raipur, India;Indira Gandhi Agricultural University (IGAU);Department of Forestry, Indira Gandhi Agricultural University (IGAU), Raipur, Indi
关键词：
forest;Shannon Index;species richness;RS and GIS;land use;NDVI;SPECIES-DIVERSITY;VEGETATION;INDIA;CLASSIFICATION;LANDSAT;PATTERN;GI
摘  要：
The purpose of this study was to characterize the land use, vegetation structure, and diversity in the Barnowpara Sanctuary, Raipur district, Chhattisgarh, India through the use of satellite remote sensing and GIS. Land cover and vegetation were spatially analyzed by digitally classifying IRS 1D LISS III satellite data using a maximum likelihood algorithm. Later, the variations in structure and diversity in different forest types and classes were quantified by adopting quadratic sampling procedures. Nine land-cover types were delineated: teak forest, dense mixed forest, degraded mixed forest, Sal mixed forest, open mixed forest, young teak plantation, grasslands, agriculture, habitation, and water bodies. The classification accuracy for different land-use classes ranged from 71.23% to 100%. The highest accuracy was observed in water bodies and grassland, followed by habitation and agriculture, teak forest, degraded mixed forest, and dense mixed forest. The accuracy was lower in open mixed forest, and sal mixed forest. Results revealed that density of different forest types varied from 324. to 733 trees ha(-1), basal area from 8.13 to 28.87 m(2)-ha(-1) and number of species from 20 to 40. Similarly, the diversity ranged from 1.36 to 2.98, concentration of dominance from 0.06 to 0.49, species richness from 3.88 to 6.86, and beta diversity from 1.29 to 2.21. The sal mixed forest type recorded the highest basal area, diversity was highest in the dense mixed forest, and the teak forest recorded maximum density, which was poor in degraded mixed forests. The study also showed that Normalized Difference Vegetation Index (NDVI) was strongly correlated to with the Shannon Index and species richness.

相似文章

导出引用
计量
文章访问数: 13
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46