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El. knyga: 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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Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales: Current Status, Future Trends, and Practical ConsiderationsDidesnis paveikslėlis
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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 o

f 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.

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.
1 Introduction
1(8)
1.1 Introduction
1(1)
1.2 Land Degradation in the UNCCD and GEF
2(1)
1.3 Concepts, Processes, and Scales of Land Degradation
2(3)
1.4 Assessment of Resilience of Agroecosystems
5(4)
2 The Potential for Assessment of Land Degradation by Remote Sensing
9(8)
2.1 Normalized Difference Vegetation Index
9(2)
2.2 Remote Sensing Features That Characterize NDVI-Based Assessments of Land Degradation
11(1)
2.3 Other Vegetation Indices Closely Related to NDVI
12(5)
2.3.1 Indices Closely Related to NDVI
12(1)
2.3.2 Comparing NDVI to EVI
13(4)
3 Applications of NDVI for Land Degradation Assessment
17(10)
3.1 Land-Use and Land-Cover Change
17(1)
3.2 Drought and Drought Early Warning
18(1)
3.3 Desertification
19(1)
3.4 Soil Erosion
20(1)
3.5 Soil Salinization
21(1)
3.6 Vegetation Burning
22(1)
3.7 Soil Organic Carbon (SOC)
23(1)
3.8 Biodiversity Monitoring and Conservation
23(1)
3.9 Monitoring Ecosystem Resilience
24(3)
4 Limits to the Use of NDVI in Land Degradation Assessment
27(4)
5 Key Issues in the Use of NDVI for Land Degradation Assessment
31(6)
5.1 NDVI, NPP, and Land Degradation
31(1)
5.2 NDVI, RUE, and Land Degradation
32(1)
5.3 Separating the Effects of Other Causes of NDVI Changes
33(2)
5.4 Abrupt Changes
35(2)
6 Development of Land Degradation Assessments
37(4)
7 Experts' Opinions on the Use of NDVI for Land Degradation Assessment
41(4)
7.1 NDVI: Rainfall Proportionality, an Important Consideration
41(1)
7.2 Building on the GLADA Assessment
42(3)
8 Main Global NDVI Datasets, Databases, and Software
45(6)
8.1 Main NDVI Datasets
45(2)
8.2 Quality-Related Considerations
47(1)
8.3 Precipitation Datasets
48(1)
8.4 NDVI Software
49(2)
9 Country-Level Use of Satellite Products to Detect and Map Land Degradation Processes
51(4)
10 Challenges to the Use of NDVI in Land Degradation Assessments
55(2)
11 Recommendations for Future Application of NDVI
57(4)
11.1 In the Convention National Reporting
57(1)
11.2 In a Revised GEF Resource Allocation Methodology
58(3)
12 Conclusion
61(2)
Appendix A Inventory of Some Global and Sub-global Remote Sensing-Based Land Degradation Assessments 63(4)
Appendix B Use of Remote Sensing-Derived Land Productive Capacity Dynamics for the New World Atlas of Desertification (WAD) 67(6)
Appendix C Developments with GLADA 73(6)
Appendix D China's Experiences on the Usefulness of GLADA 79(4)
Appendix E Main Features of Image Products from the Different Sensors 83(2)
Appendix F UNCCD Core Indicators for National Reporting: ICCD/COP(11)/CST/2 85(4)
Appendix G Current Cost of Selected Satellite Imagery 89(4)
Appendix H Software for Processing Satellite Images to Develop the NDVI 93(6)
References 99
Genesis Tambang Yengoh is a Post-Doctoral Research Fellow at the Lundy University Centre for Sustainability Studies in Sweden. His research involves uses of remote sensing and GIS to understand the implications of large-scale land use dynamics on the flow of, access to, and use of natural resources at the household and landscape level.

David Dent is an Honorary Fellow of Lund Centre for Sustainability Studies. Previously, he served as Director of ISRIC-World Soil Information. He consults in scientific, practical and policy aspects of use and management of land resources to governments, international organizations, multinationals and private companies, working in every continent.

Lennart Olsson is the Founding Director of LUCSUS Lund University Centre for Sustainability Studies. He serves as Scientific Director and Examiner of the International Masters Program LUMES. He teaches courses on land use, environmental modeling, water issues, natural resources and land degradation.



Anna Tengberg is an Environment and Development Consultant. She also serves as a Research Associate at the University of Gothenburg, Swedens Environmental Economics Unit as well as an Adjunct Professor at the Lund University Centre for Sustainability Studies.

Compton James Tucker III is a Physical Scientist at the Hydrospheric and Biospheric Sciences Laboratory at the NASA/Goddard Space Flight Center in Maryland, USA. He was among the first researchers to employ coarse-resolution satellite data to exploit the time domain for studying global photosynthesis on land, determining land cover, monitoring droughts, providing famine early warning, and predicting ecologically-coupled disease outbreaks.
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