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Use of the normalized difference veg...

Yengoh, Genesis T.

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Use of the normalized difference vegetation index (NDVI) to assess land degradation at multiple scales = current status, future trends, and practical considerations /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Use of the normalized difference vegetation index (NDVI) to assess land degradation at multiple scales/ by Genesis T. Yengoh ... [et al.].
Reminder of title:	current status, future trends, and practical considerations /
other author:	Yengoh, Genesis T.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xx, 110 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- The potential for assessment of land degradation by remote sensing -- Applications of NDVI for land degradation assessment -- Limits to the use of NDVI in land degradation assessment -- Key issues in the use of NDVI for land degradation assessment -- Development of land degradation assessments -- Experts' opinions on the use of NDVI for land degradation assessment -- Main global NDVI datasets and databases, and software -- Country-level use of satellite products to detect and map land degradation processes -- Challenges to the use of NDVI in land degradation assessments -- Recommendations for future application of NDVI -- Conclusion -- Appendices.
Contained By:	Springer eBooks
Subject:	Plants - Remote sensing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-24112-8
ISBN:	9783319241128

Use of the normalized difference vegetation index (NDVI) to assess land degradation at multiple scales = current status, future trends, and practical considerations /
Use of the normalized difference vegetation index (NDVI) to assess land degradation at multiple scalescurrent status, future trends, and practical considerations /[electronic resource] :by Genesis T. Yengoh ... [et al.]. - Cham :Springer International Publishing :2015. - xx, 110 p. :ill., digital ;24 cm. - SpringerBriefs in environmental science,2191-5547. - SpringerBriefs in environmental science..

Introduction -- The potential for assessment of land degradation by remote sensing -- Applications of NDVI for land degradation assessment -- Limits to the use of NDVI in land degradation assessment -- Key issues in the use of NDVI for land degradation assessment -- Development of land degradation assessments -- Experts' opinions on the use of NDVI for land degradation assessment -- Main global NDVI datasets and databases, and software -- Country-level use of satellite products to detect and map land degradation processes -- Challenges to the use of NDVI in land degradation assessments -- Recommendations for future application of NDVI -- Conclusion -- Appendices.

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.

ISBN: 9783319241128

Standard No.: 10.1007/978-3-319-24112-8doiSubjects--Topical Terms:

2048022
Plants
--Remote sensing.

LC Class. No.: QK63

Dewey Class. No.: 333.953

Use of the normalized difference vegetation index (NDVI) to assess land degradation at multiple scales = current status, future trends, and practical considerations /
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505 0 $a Introduction -- The potential for assessment of land degradation by remote sensing -- Applications of NDVI for land degradation assessment -- Limits to the use of NDVI in land degradation assessment -- Key issues in the use of NDVI for land degradation assessment -- Development of land degradation assessments -- Experts' opinions on the use of NDVI for land degradation assessment -- Main global NDVI datasets and databases, and software -- Country-level use of satellite products to detect and map land degradation processes -- Challenges to the use of NDVI in land degradation assessments -- Recommendations for future application of NDVI -- Conclusion -- Appendices.
520 $a 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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