Use Of The Normalized Difference Vegetation Index Ndvi To Assess Land Degradation At Multiple Scales

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Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales

Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales
Author :
Publisher : Springer
Total Pages : 123
Release :
ISBN-10 : 9783319241128
ISBN-13 : 3319241125
Rating : 4/5 (125 Downloads)

Book Synopsis Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales by : Genesis T. Yengoh

Download or read book Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales written by Genesis T. Yengoh and published by Springer. This book was released on 2015-11-11 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report examines the scientific basis for the use of remotely sensed data, particularly Normalized Difference Vegetation Index (NDVI), primarily for the assessment of land degradation at different scales and for a range of applications, including resilience of agro-ecosystems. Evidence is drawn from a wide range of investigations, primarily from the scientific peer-reviewed literature but also non-journal sources. The literature review has been corroborated by interviews with leading specialists in the field. The report reviews the use of NDVI for a range of themes related to land degradation, including land cover change, drought monitoring and early warning systems, desertification processes, greening trends, soil erosion and salinization, vegetation burning and recovery after fire, biodiversity loss, and soil carbon. This SpringerBrief also discusses the limits of the use of NDVI for land degradation assessment and potential for future directions of use. A substantial body of peer-reviewed research lends unequivocal support for the use of coarse-resolution time series of NDVI data for studying vegetation dynamics at global, continental and sub-continental levels. There is compelling evidence that these data are highly correlated with biophysically meaningful vegetation characteristics such as photosynthetic capacity and primary production that are closely related to land degradation and to agroecosystem resilience.


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