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.


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

Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales
Language: en
Pages: 123
Authors: Genesis T. Yengoh
Categories: Technology & Engineering
Type: BOOK - Published: 2015-11-11 - Publisher: Springer

DOWNLOAD EBOOK

This report examines the scientific basis for the use of remotely sensed data, particularly Normalized Difference Vegetation Index (NDVI), primarily for the ass
The Normalized Difference Vegetation Index
Language: en
Pages: 205
Authors: Nathalie Pettorelli
Categories: Nature
Type: BOOK - Published: 2013-10 - Publisher: Oxford University Press, USA

DOWNLOAD EBOOK

This book provides a coherent review of NDVI including its origin, its availability, its associated advantages and disadvantages, and its possible applications
Precision Agriculture '21
Language: en
Pages: 0
Authors: John V. Stafford
Categories: Conference proceedings
Type: BOOK - Published: 2021 - Publisher: Brill Wageningen Academic

DOWNLOAD EBOOK

Precision agriculture is a reality in agriculture and is playing a key role as the industry comes to terms with the environment, market forces, quality requirem
Intelligent Data Mining and Fusion Systems in Agriculture
Language: en
Pages: 334
Authors: Xanthoula-Eirini Pantazi
Categories: Business & Economics
Type: BOOK - Published: 2019-10-08 - Publisher: Academic Press

DOWNLOAD EBOOK

Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture f
Google Earth Engine Applications
Language: en
Pages: 420
Authors: Lalit Kumar
Categories: Science
Type: BOOK - Published: 2019-04-23 - Publisher: MDPI

DOWNLOAD EBOOK

In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observa