Arid
DOI10.1117/12.697418
Performance of different vegetation indices in assessing degradation of community grazinglands in Indian Arid Zone
Kumar, Suresh1; Bastin, Gary2; Friedel, Margaret2; Narain, Pratap1; Saha, D. K.1; Ahuja, U. R.1; Mathur, B. K.1
通讯作者Kumar, Suresh
会议名称Conference on Agriculture and Hydrology Applications of Remote Sensing
会议日期NOV 15-17, 2006
会议地点Goa, INDIA
英文摘要

Vegetation in and community grazinglands shows monsoonal growth. Its matching phenology with crops makes its detection difficult during July to September. While crops are harvested during September-October, using satellite data thereafter for the natural vegetation seems most appropriate but by then it turns dry. An index capable of sensing dry vegetation was needed since conventional NDVI is sensitive to greenness of vegetation. Performance of NDVI vis-A-vis another index, PD54, based on cover was therefore compared in assessing degradation of grazinglands. The PD54 was used to isolate anthropogenic impacts from environmental induced degradation by analyzing satellite images from dry and wet seasons. Substantial absence of appreciable vegetation response indicated poor resilience and severe degradation.


Five grazinglands in Shergarh tehsil of Jodhpur district in Rajasthan were studied following above approach. Ground radiometric observations were recorded. Satellite data of IRS 1C/1D/P6 with LISS 3 sensor for both pre and post monsoon season were acquired for three contrasting wet-dry season events.


These were geometrically registered and radiometrically calibrated to calculate an index of vegetation cover PD54 as well as NDVI. PD54 is a perpendicular vegetation index based on the green and red spectral band width. The PD54 and NDVI calculated from spectro-radiometer were related to vegetation cover measured on ground in permanent plots. This confirmed that PD54 was superior index for estimating cover in and dry grasslands.


These ground vegetation trends in a good rainfall year (2001) with drought year (2002) were related with satellite data for a protected and four unprotected grazinglands. NDVI failed to detect any vegetation in protected areas supporting excellent grass cover which was succinctly brought out by PD54. Successful validation of PD54 in detecting degradation of 13 additional sites confirmed its efficacy. These findings have implication in forage availability assessments, forage forecasting, drought preparedness, pastoralism and transhumance.


英文关键词grazingland arid zone spectral reflectance vegetation index degradation NDVI
来源出版物AGRICULTURE AND HYDROLOGY APPLICATIONS OF REMOTE SENSING
ISSN0277-786X
出版年2006
卷号6411
ISBN978-0-8194-6518-4
出版者SPIE-INT SOC OPTICAL ENGINEERING
类型Proceedings Paper
语种英语
国家India;Australia
收录类别CPCI-S
WOS记录号WOS:000244437500017
WOS关键词SPARSE PATTERNED VEGETATION ; RANGELANDS ; RAINFALL ; DESERTS ; ABUNDANCE ; DYNAMICS ; IMAGES ; COVER ; AVHRR
WOS类目Agronomy ; Remote Sensing ; Water Resources
WOS研究方向Agriculture ; Remote Sensing ; Water Resources
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/295810
作者单位1.Cent Arid Zone Res Inst, Jodhpur 342003, Rajasthan, India;
2.CSIRO Ctr Arid Zone Res, Alice Springs, NT, Australia
推荐引用方式
GB/T 7714
Kumar, Suresh,Bastin, Gary,Friedel, Margaret,et al. Performance of different vegetation indices in assessing degradation of community grazinglands in Indian Arid Zone[C]:SPIE-INT SOC OPTICAL ENGINEERING,2006.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Kumar, Suresh]的文章
[Bastin, Gary]的文章
[Friedel, Margaret]的文章
百度学术
百度学术中相似的文章
[Kumar, Suresh]的文章
[Bastin, Gary]的文章
[Friedel, Margaret]的文章
必应学术
必应学术中相似的文章
[Kumar, Suresh]的文章
[Bastin, Gary]的文章
[Friedel, Margaret]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。